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代码/.DS_Store
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代码/sequenceShield/.DS_Store
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代码/sequenceShield/.gitignore
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代码/sequenceShield/.gitignore
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*.csv
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*.pyc
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*.h5
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!/cicddos2019/label/all.csv
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!/cicdos2017/label/label.csv
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!/lucid-cicddos2019/*
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/test/playground.py
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代码/sequenceShield/.vscode/settings.json
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代码/sequenceShield/.vscode/settings.json
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{
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"python.languageServer": "Pylance",
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"python.analysis.completeFunctionParens": true
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}
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代码/sequenceShield/cicddos2019/label/all.csv
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代码/sequenceShield/cicddos2019/label/all.csv
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234
代码/sequenceShield/cicddos2019/run/run.py
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代码/sequenceShield/cicddos2019/run/run.py
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# coding=UTF-8
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from asyncio import protocols
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from distutils.debug import DEBUG
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from pickle import TRUE
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from unittest import TestLoader
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import torch
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import torch.nn as nn
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import pandas as pd
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from sklearn.metrics import confusion_matrix
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from sklearn.metrics import classification_report
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from sklearn.metrics import f1_score
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from random import randint
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from torch.utils.data.sampler import WeightedRandomSampler
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from torch.utils.data.dataloader import DataLoader
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from torch.utils.data import random_split
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from torch.utils.data import TensorDataset,Dataset
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import logging
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from collections import Counter
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import os
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import sys
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sys.path.append("model")
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from model import LSTM,GRU,RNN
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class MyDataset(Dataset):
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def __init__(self, label_file_path,protocols,sequence_len):
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self.sequence_len = sequence_len
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self.protocols= protocols
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self.input_size = len(self.protocols)+1 # 最后一位用于方向
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self.df = pd.read_csv(label_file_path)
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self.number_1 = 0
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self.number_0 = 0
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self.dataset_ls = []
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self.parse_file()
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self.len=len(self.dataset_ls)
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def __len__(self):
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return self.len
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def __getitem__(self, index):
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return self.transfor(self.dataset_ls[index])
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def parse_file(self):
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for index, row in self.df.iterrows():
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label = int(row[0])
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if label ==1:
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self.number_1+=1
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else:
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self.number_0+=1
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self.dataset_ls.append(row)
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logging.info("before sampling number_1:{}".format(self.number_1))
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logging.info("before sampling number_0:{}".format(self.number_0))
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return
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def transfor(self,row):
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label = int(row[0])# 标签
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y = torch.zeros(1)
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y[0] = label
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x=torch.zeros(self.sequence_len,input_size)
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# 数据
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features = row[1:self.sequence_len]
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for feature_idx, feature in enumerate(features):
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# 方向
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direction = 1
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if feature[0] == '-':
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direction = 0
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# 去掉方向信息
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# direction = 1
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feature = feature[1:]
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code_idx = self.protocols.index(feature)
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x[feature_idx][code_idx] = 1
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x[feature_idx][-1] = direction
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return x,y
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def get_protocols(dir,sequence_len):
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logging.info("get protocols:")
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file_list = os.listdir(dir)
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# 排序
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#file_list.sort(key=lambda x: int(x[0:1]))
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protocols = []
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for i in range(len(file_list)):
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logging.info("reading csv file: {}".format(file_list[i]))
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df = pd.read_csv(dir + '/' + file_list[i])
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# protocol使用one-hot-encoding，计算input_size
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for index, row in df.iterrows():
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features = row[1:sequence_len]
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for i in features:
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protocol = i[1:] # 去除掉方向信息
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if protocol not in protocols:
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protocols.append(protocol)
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logging.info("procols num: {}".format(len(protocols)))
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logging.info("procols : {}".format(protocols))
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return protocols
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def get_sampler(dataset):
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number_1 = 0
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number_0 = 0
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for x,y in dataset:
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if y==1:
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number_1+=1
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else:
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number_0+=1
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weight_1 = 1. / number_1
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weight_0 = 1./number_0
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samples_weight = torch.zeros(len(dataset),dtype=torch.float)
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index = 0
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for x,y in dataset:
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if y==1:
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samples_weight[index]=weight_1
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else:
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samples_weight[index]=weight_0
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index +=1
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sampler = WeightedRandomSampler(samples_weight, len(samples_weight))
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return sampler
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# 对label文件进行预处理，得到DataLoader对象
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def pre_process(path, sequence_len, train_portion,protocols,bs):
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dataset=MyDataset(label_file_path=path,protocols=protocols,sequence_len=sequence_len)
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# 划分训练集和测试集
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train_len = int(len(dataset)*train_portion)
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test_len = len(dataset)-train_len
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train_dataset, test_dataset = random_split(dataset, [train_len, test_len])
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train_sampler=get_sampler(train_dataset)
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test_sampler=get_sampler(test_dataset)
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# loader
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train_loader = DataLoader(train_dataset,batch_size=bs,num_workers=0,sampler=train_sampler)
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test_loader = DataLoader(test_dataset,batch_size=bs,num_workers=0,sampler=test_sampler)
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return train_loader, test_loader
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def train(train_loader,criterion,optimizer,sequence_length,input_size):
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total_step = len(train_loader)
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for epoch in range(num_epochs):
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for i, (images, labels) in enumerate(train_loader):
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# 函数用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，同时列出数据和数据下标
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images = images.reshape(-1, sequence_length, input_size).to(device)
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labels = labels.reshape(-1).to(device)
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# Forward pass
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global model
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outputs = model(images)
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loss = criterion(outputs, labels.long())
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# Backward and optimize
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optimizer.zero_grad()
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loss.backward()
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optimizer.step()
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# 每10个step/iteration输出一次
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if (i+1) % 200 == 0:
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logging.info('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
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.format(epoch+1, num_epochs, i+1, total_step, loss.item()))
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LOG_FORMAT = "%(asctime)s: %(message)s"
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logging.basicConfig(filename="./cicddos2019/log/ss-RNN-cicddos2019.log", level=logging.DEBUG,
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format=LOG_FORMAT, datefmt='%a, %d %b %Y %H:%M:%S', filemode="w")
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logging.info("-------------")
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# Device configuration
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logging.info("cuda is_available:{}".format(torch.cuda.is_available()))
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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dataset_dir = "./cicddos2019/label"
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# Hyper-parameters
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sequence_length = 40
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hidden_size = 128
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num_layers = 1
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num_classes = 2
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batch_size = 100
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num_epochs = 10
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learning_rate = 0.001
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train_portion = 0.8
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# 打印参数
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logging.info("parameters - batch_size:{}, num_epochs:{}, learning_rage:{}".format(
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batch_size, num_epochs, learning_rate))
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# 获得one-hot-endocing的protocols字典
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protocols=get_protocols(dataset_dir,sequence_length)
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input_size = len(protocols)+1 # 最后一位用于编码标明方向，其余位用于onehot编码协议
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model = RNN(input_size, hidden_size, num_layers, num_classes,device).to(device)
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#model = LSTM(input_size, hidden_size, num_layers, num_classes,device).to(device)
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#model = GRU(input_size, hidden_size, num_layers, num_classes,device).to(device)
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# Loss and optimizer
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criterion = nn.CrossEntropyLoss().to(device)
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optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
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test_loader_ls = []
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file_list = os.listdir(dataset_dir)
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#file_list.sort(key=lambda x: int(x[0:1]))# 排序
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for i in range(len(file_list)):
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file_path = dataset_dir +'/'+ file_list[i]
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logging.info("preprocessing file {}".format(file_path))
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train_loader, test_loader = pre_process(path=file_path, sequence_len=sequence_length, train_portion=train_portion,protocols=protocols,bs=batch_size)
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# train
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logging.info("start training {}".format(file_path))
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train(train_loader,criterion=criterion,optimizer=optimizer,sequence_length=sequence_length,input_size=input_size)
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test_loader_ls.append(test_loader)
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# Test the model
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model.eval()
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logging.info("start testing on test dataset")
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with torch.no_grad():
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pred_list = []
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label_list = []
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for test_loader in test_loader_ls:
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for images, labels in test_loader:
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images = images.reshape(-1, sequence_length, input_size).to(device)
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labels = labels.to(device)
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outputs = model(images)
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_, predicted = torch.max(outputs.data, 1)
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pred_temp = predicted.data.tolist()
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label_temp = labels.data.tolist()
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pred_list.extend(pred_temp)
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label_list.extend(label_temp)
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f1 = f1_score(label_list, pred_list)
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logging.info("\nf1:{}".format(f1))
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logging.info("\n{}".format(classification_report(
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label_list, pred_list, digits=4)))
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logging.info("\n{}".format(confusion_matrix(label_list, pred_list)))
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# Save the model checkpoint
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# torch.save(model.state_dict(), './cicddos2019/model/model.ckpt')
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60
代码/sequenceShield/cicddos2019/script/check.py
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60
代码/sequenceShield/cicddos2019/script/check.py
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import pandas as pd
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# 检查testday中.1和.4数据包的数量
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# -*- coding : utf-8-*-
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import pandas as pd
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import os
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import re
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DOS2019_FLOWS = {'attackers': ['172.16.0.5'],
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'victims': ['192.168.50.1', '192.168.50.4']}
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input_dir = "cicddos2019/input"
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feature_latitude = 40 + 1 # 第一个元素是label
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def get_label(srcIP, dstIP):
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if (srcIP == "172.16.0.5" and dstIP == "192.168.50.1") or (srcIP == "192.168.50.1" and dstIP == "172.16.0.5"):
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return 1
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elif (srcIP == "172.16.0.5" and dstIP == "192.168.50.4") or (srcIP == "192.168.50.4" and dstIP == "172.16.0.5"):
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return 4
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else:
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return 0
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def pre_process(dir):
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number_1 = 0
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number_4 = 0
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files = os.listdir(dir)
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files.sort(key=lambda x: int(x[0:1]))
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for filename in files:
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input_path = dir+"/"+filename
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df = pd.read_csv(input_path, encoding='ISO-8859-1')
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print("------------")
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print("processing file: {} ".format(input_path))
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for index, row in df.iterrows():
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try:
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srcIP = str(row["Source"])
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dstIP = str(row["Destination"])
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except:
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print(srcIP)
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print(dstIP)
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continue
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if not re.match(r"^(?:[0-9]{1,3}\.){3}[0-9]{1,3}$", srcIP) or not re.match(r"^(?:[0-9]{1,3}\.){3}[0-9]{1,3}$", srcIP):
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continue
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# get label
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label = get_label(srcIP, dstIP)
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if label == 1:
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number_1+=1
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elif label==4:
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number_4+=1
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else:
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continue
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print("number_1:{},number_4:{}".format(number_1,number_4))
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# 结果 0,60294326
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return
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pre_process(input_dir)
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29
代码/sequenceShield/cicddos2019/script/merge.py
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29
代码/sequenceShield/cicddos2019/script/merge.py
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import pandas as pd
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import os
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# 要拼接的文件夹及其完整路径，注意不要包含中文
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Folder_Path = "/home/dzy/coding/SequenceShield/cicddos2019/label"
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SaveFile_Path = "/home/dzy/coding/SequenceShield/cicddos2019/label" # 拼接后要保存的文件路径
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SaveFile_Name = "all.csv" # 合并后要保存的文件名
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# 修改当前工作目录
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os.chdir(Folder_Path)
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# 将该文件夹下的所有文件名存入一个列表
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file_list = os.listdir()
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# 排序
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file_list.sort(key=lambda x: int(x[:-4]))
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# 读取第一个CSV文件并包含表头
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print(file_list[0])
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# 编码默认UTF-8，若乱码自行更改
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df = pd.read_csv(Folder_Path + "/" + file_list[0])
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# 将读取的第一个CSV文件写入合并后的文件保存
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df.to_csv(SaveFile_Path+'/' + SaveFile_Name, encoding="utf_8", index=False)
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# 循环遍历列表中各个CSV文件名，并追加到合并后的文件
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for i in range(1, len(file_list)):
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print(file_list[i])
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df = pd.read_csv(Folder_Path + '/' + file_list[i])
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df.to_csv(SaveFile_Path+'/' + SaveFile_Name, encoding="utf_8",
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index=False, header=False, mode='a+')
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83
代码/sequenceShield/cicddos2019/script/parse.py
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83
代码/sequenceShield/cicddos2019/script/parse.py
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# -*- coding : utf-8-*-
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import pandas as pd
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||||
import os
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import re
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||||
|
||||
|
||||
DOS2019_FLOWS = {'attackers': ['172.16.0.5'],
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'victims': ['192.168.50.1', '192.168.50.4']}
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input_dir = "cicddos2019/input"
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label_dir = "cicddos2019/label"
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feature_latitude = 40 + 1 # 第一个元素是label
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||||
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def get_label(srcIP, dstIP):
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if (srcIP == "172.16.0.5" and dstIP == "192.168.50.1") or (srcIP == "192.168.50.1" and dstIP == "172.16.0.5"):
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return 1
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elif (srcIP == "172.16.0.5" and dstIP == "192.168.50.4") or (srcIP == "192.168.50.4" and dstIP == "172.16.0.5"):
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return 1
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else:
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return 0
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||||
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||||
def pre_process(dir, label_dir):
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files = os.listdir(dir)
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files.sort(key=lambda x: int(x[0:1]))
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for filename in files:
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feature_ls = []
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||||
flow = {}
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||||
input_path = dir+"/"+filename
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df = pd.read_csv(input_path, encoding='ISO-8859-1')
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print("------------")
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||||
print("processing file: {} ".format(input_path))
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||||
for index, row in df.iterrows():
|
||||
if index % 100000 ==0:
|
||||
print("processing index:{}".format(index))
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||||
try:
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||||
srcIP = str(row["Source"])
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||||
dstIP = str(row["Destination"])
|
||||
except:
|
||||
print(srcIP)
|
||||
print(dstIP)
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||||
continue
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||||
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||||
if not re.match(r"^(?:[0-9]{1,3}\.){3}[0-9]{1,3}$", srcIP) or not re.match(r"^(?:[0-9]{1,3}\.){3}[0-9]{1,3}$", srcIP):
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||||
continue
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||||
protocol = row["Protocol"]
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||||
# get label
|
||||
label = get_label(srcIP, dstIP)
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||||
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||||
# key
|
||||
key = srcIP+dstIP
|
||||
reverse_key = dstIP+srcIP
|
||||
|
||||
if not flow.__contains__(key) and not flow.__contains__(reverse_key):
|
||||
# 创建一个flow
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||||
flow[key] = [label, "-"+protocol]
|
||||
elif flow.__contains__(key):
|
||||
# key添加到flow里面
|
||||
if len(flow[key]) >= feature_latitude:
|
||||
feature_ls.append(flow.pop(key))
|
||||
flow[key] = [label, "-"+protocol]
|
||||
flow[key].append("-"+protocol)
|
||||
flow[key][0] = flow[key][0] or label
|
||||
else:
|
||||
# reverse key
|
||||
if len(flow[reverse_key]) >= feature_latitude:
|
||||
feature_ls.append(flow.pop(reverse_key))
|
||||
flow[reverse_key] = [label, "+"+protocol]
|
||||
flow[reverse_key].append("+"+protocol)
|
||||
# 更新type数量
|
||||
flow[reverse_key][0] = flow[reverse_key][0] or label
|
||||
|
||||
# write to csv file
|
||||
total_data = pd.DataFrame(data=feature_ls)
|
||||
# print(total_data)
|
||||
label_path=label_dir+"/"+filename
|
||||
total_data.to_csv(label_path, index=False,
|
||||
encoding="utf-8", sep=',', mode='w', header=True)
|
||||
return
|
||||
|
||||
|
||||
pre_process(input_dir, label_dir)
|
||||
7
代码/sequenceShield/cicdos2017/README.md
Normal file
7
代码/sequenceShield/cicdos2017/README.md
Normal file
@@ -0,0 +1,7 @@
|
||||
# 文件目录
|
||||
/dataset/attacks.txt 详细描述了攻击流量
|
||||
/dataset/cicdos2017_from_wireshark.csv wireshark导出的带“协议解析”的csv文件
|
||||
/dataset/meta.csv 经处理后的中间数据
|
||||
/label 存放了模型能直接使用的数据
|
||||
/script 存放了脚本文件
|
||||
/model 存放了模型文件
|
||||
26
代码/sequenceShield/cicdos2017/dataset/attacks.txt
Executable file
26
代码/sequenceShield/cicdos2017/dataset/attacks.txt
Executable file
@@ -0,0 +1,26 @@
|
||||
slowbody2 to 75.127.97.72 after 00:53 53 minutes
|
||||
slowread to 75.127.97.72 after 01:58 118 minutes
|
||||
ddossim to 75.127.97.72 after 02:22 142 minutes
|
||||
goldeneye to 75.127.97.72 after 02:50 170 minutes
|
||||
slowheaders to 74.63.40.21 after 02:57 177 minutes
|
||||
rudy to 75.127.97.72 after 03:08 188 minutes
|
||||
ddossim to 97.74.144.108 after 03:28 208 minutes
|
||||
rudy to 208.113.162.153 after 03:29 209 minutes
|
||||
hulk to 69.84.133.138 after 04:38 278 minutes
|
||||
slowheaders to 67.220.214.50 after 06:00 360 minutes
|
||||
goldeneye to 97.74.144.108 after 07:06 426 minutes
|
||||
slowbody2 to 69.192.24.88 after 08:13 493 minutes
|
||||
slowbody2 to 97.74.144.108 after 09:03 543 minutes
|
||||
slowbody2 to 203.73.24.75 after 09:09 549 minutes
|
||||
rudy to 97.74.144.108 after 09:20 560 minutes
|
||||
slowread to 74.55.1.4 after 11:02 662 minutes
|
||||
slowheaders to 97.74.104.201 after 11:27 687 minutes
|
||||
hulk to 74.55.1.4 after 13:33 813 minutes
|
||||
hulk to 69.192.24.88 after 13:47 827 minutes
|
||||
slowloris to 97.74.144.108 after 15:20 920 minutes
|
||||
slowheaders to 97.74.144.108 after 15:47 947 minutes
|
||||
slowloris to 75.127.97.72 after 16:33 993 minutes
|
||||
slowheaders to 75.127.97.72 after 17:13 1033 minutes
|
||||
goldeneye to 69.192.24.88 after 19:23 1163 minutes
|
||||
hulk to 75.127.97.72 after 19:25 1165 minutes
|
||||
rudy to 74.55.1.4 after 20:59 1259 minutes
|
||||
161095
代码/sequenceShield/cicdos2017/label/label.csv
Normal file
161095
代码/sequenceShield/cicdos2017/label/label.csv
Normal file
File diff suppressed because it is too large
Load Diff
4
代码/sequenceShield/cicdos2017/log/parse_file.log
Normal file
4
代码/sequenceShield/cicdos2017/log/parse_file.log
Normal file
@@ -0,0 +1,4 @@
|
||||
cicdos2017数据包type统计:[high,low,normal]
|
||||
[152539, 287208, 5954020]
|
||||
--------------------
|
||||
字典中剩余个数：5698
|
||||
4
代码/sequenceShield/cicdos2017/log/parse_meta.log
Normal file
4
代码/sequenceShield/cicdos2017/log/parse_meta.log
Normal file
@@ -0,0 +1,4 @@
|
||||
mix row num: 57
|
||||
high row num: 3894
|
||||
low row num: 7343
|
||||
normal row num: 149857
|
||||
654
代码/sequenceShield/cicdos2017/log/ss-GRU-cicdos2017_1_1.log
Normal file
654
代码/sequenceShield/cicdos2017/log/ss-GRU-cicdos2017_1_1.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Mon, 19 Sep 2022 19:47:13: -------------
|
||||
Mon, 19 Sep 2022 19:47:13: cuda is_available:True
|
||||
Mon, 19 Sep 2022 19:47:13: model parameters - num_layers:1, sequence_len:40
|
||||
Mon, 19 Sep 2022 19:47:13: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Mon, 19 Sep 2022 19:47:13: reading csv file
|
||||
Mon, 19 Sep 2022 19:47:13: csv file alread loaded
|
||||
Mon, 19 Sep 2022 19:47:24: procols num: 31
|
||||
Mon, 19 Sep 2022 19:47:24: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Mon, 19 Sep 2022 19:48:40: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Mon, 19 Sep 2022 19:48:42: loader already prepared
|
||||
Mon, 19 Sep 2022 19:48:42: loader中(0:normal,1:high,2:low):Counter({0: 16021, 2: 10548, 1: 5650})
|
||||
Mon, 19 Sep 2022 19:48:45: start training
|
||||
Mon, 19 Sep 2022 19:48:45: Epoch [1/25], Step [50/1289], Loss: 0.4166
|
||||
Mon, 19 Sep 2022 19:48:45: Epoch [1/25], Step [100/1289], Loss: 0.3780
|
||||
Mon, 19 Sep 2022 19:48:45: Epoch [1/25], Step [150/1289], Loss: 0.4885
|
||||
Mon, 19 Sep 2022 19:48:45: Epoch [1/25], Step [200/1289], Loss: 0.3323
|
||||
Mon, 19 Sep 2022 19:48:46: Epoch [1/25], Step [250/1289], Loss: 0.4836
|
||||
Mon, 19 Sep 2022 19:48:46: Epoch [1/25], Step [300/1289], Loss: 0.3039
|
||||
Mon, 19 Sep 2022 19:48:46: Epoch [1/25], Step [350/1289], Loss: 0.3598
|
||||
Mon, 19 Sep 2022 19:48:46: Epoch [1/25], Step [400/1289], Loss: 0.2634
|
||||
Mon, 19 Sep 2022 19:48:46: Epoch [1/25], Step [450/1289], Loss: 0.3571
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [500/1289], Loss: 0.3463
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [550/1289], Loss: 0.2163
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [600/1289], Loss: 0.2250
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [650/1289], Loss: 0.2496
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [700/1289], Loss: 0.1798
|
||||
Mon, 19 Sep 2022 19:48:47: Epoch [1/25], Step [750/1289], Loss: 0.1381
|
||||
Mon, 19 Sep 2022 19:48:48: Epoch [1/25], Step [800/1289], Loss: 0.2442
|
||||
Mon, 19 Sep 2022 19:48:48: Epoch [1/25], Step [850/1289], Loss: 0.2139
|
||||
Mon, 19 Sep 2022 19:48:48: Epoch [1/25], Step [900/1289], Loss: 0.0925
|
||||
Mon, 19 Sep 2022 19:48:48: Epoch [1/25], Step [950/1289], Loss: 0.1424
|
||||
Mon, 19 Sep 2022 19:48:48: Epoch [1/25], Step [1000/1289], Loss: 0.2557
|
||||
Mon, 19 Sep 2022 19:48:49: Epoch [1/25], Step [1050/1289], Loss: 0.1944
|
||||
Mon, 19 Sep 2022 19:48:49: Epoch [1/25], Step [1100/1289], Loss: 0.1930
|
||||
Mon, 19 Sep 2022 19:48:49: Epoch [1/25], Step [1150/1289], Loss: 0.1478
|
||||
Mon, 19 Sep 2022 19:48:49: Epoch [1/25], Step [1200/1289], Loss: 0.1122
|
||||
Mon, 19 Sep 2022 19:48:49: Epoch [1/25], Step [1250/1289], Loss: 0.1965
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [50/1289], Loss: 0.2292
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [100/1289], Loss: 0.1319
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [150/1289], Loss: 0.1586
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [200/1289], Loss: 0.1419
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [250/1289], Loss: 0.1796
|
||||
Mon, 19 Sep 2022 19:48:50: Epoch [2/25], Step [300/1289], Loss: 0.1056
|
||||
Mon, 19 Sep 2022 19:48:51: Epoch [2/25], Step [350/1289], Loss: 0.1503
|
||||
Mon, 19 Sep 2022 19:48:51: Epoch [2/25], Step [400/1289], Loss: 0.0804
|
||||
Mon, 19 Sep 2022 19:48:51: Epoch [2/25], Step [450/1289], Loss: 0.1453
|
||||
Mon, 19 Sep 2022 19:48:51: Epoch [2/25], Step [500/1289], Loss: 0.0749
|
||||
Mon, 19 Sep 2022 19:48:51: Epoch [2/25], Step [550/1289], Loss: 0.1617
|
||||
Mon, 19 Sep 2022 19:48:52: Epoch [2/25], Step [600/1289], Loss: 0.1025
|
||||
Mon, 19 Sep 2022 19:48:52: Epoch [2/25], Step [650/1289], Loss: 0.0922
|
||||
Mon, 19 Sep 2022 19:48:52: Epoch [2/25], Step [700/1289], Loss: 0.1357
|
||||
Mon, 19 Sep 2022 19:48:52: Epoch [2/25], Step [750/1289], Loss: 0.1906
|
||||
Mon, 19 Sep 2022 19:48:52: Epoch [2/25], Step [800/1289], Loss: 0.0952
|
||||
Mon, 19 Sep 2022 19:48:53: Epoch [2/25], Step [850/1289], Loss: 0.1946
|
||||
Mon, 19 Sep 2022 19:48:53: Epoch [2/25], Step [900/1289], Loss: 0.1191
|
||||
Mon, 19 Sep 2022 19:48:53: Epoch [2/25], Step [950/1289], Loss: 0.1598
|
||||
Mon, 19 Sep 2022 19:48:53: Epoch [2/25], Step [1000/1289], Loss: 0.0914
|
||||
Mon, 19 Sep 2022 19:48:53: Epoch [2/25], Step [1050/1289], Loss: 0.2271
|
||||
Mon, 19 Sep 2022 19:48:54: Epoch [2/25], Step [1100/1289], Loss: 0.0890
|
||||
Mon, 19 Sep 2022 19:48:54: Epoch [2/25], Step [1150/1289], Loss: 0.0902
|
||||
Mon, 19 Sep 2022 19:48:54: Epoch [2/25], Step [1200/1289], Loss: 0.1314
|
||||
Mon, 19 Sep 2022 19:48:54: Epoch [2/25], Step [1250/1289], Loss: 0.1130
|
||||
Mon, 19 Sep 2022 19:48:55: Epoch [3/25], Step [50/1289], Loss: 0.1317
|
||||
Mon, 19 Sep 2022 19:48:55: Epoch [3/25], Step [100/1289], Loss: 0.1349
|
||||
Mon, 19 Sep 2022 19:48:55: Epoch [3/25], Step [150/1289], Loss: 0.1100
|
||||
Mon, 19 Sep 2022 19:48:55: Epoch [3/25], Step [200/1289], Loss: 0.0889
|
||||
Mon, 19 Sep 2022 19:48:55: Epoch [3/25], Step [250/1289], Loss: 0.1630
|
||||
Mon, 19 Sep 2022 19:48:56: Epoch [3/25], Step [300/1289], Loss: 0.0908
|
||||
Mon, 19 Sep 2022 19:48:56: Epoch [3/25], Step [350/1289], Loss: 0.1088
|
||||
Mon, 19 Sep 2022 19:48:56: Epoch [3/25], Step [400/1289], Loss: 0.1086
|
||||
Mon, 19 Sep 2022 19:48:56: Epoch [3/25], Step [450/1289], Loss: 0.1003
|
||||
Mon, 19 Sep 2022 19:48:56: Epoch [3/25], Step [500/1289], Loss: 0.0373
|
||||
Mon, 19 Sep 2022 19:48:57: Epoch [3/25], Step [550/1289], Loss: 0.1325
|
||||
Mon, 19 Sep 2022 19:48:57: Epoch [3/25], Step [600/1289], Loss: 0.1369
|
||||
Mon, 19 Sep 2022 19:48:57: Epoch [3/25], Step [650/1289], Loss: 0.0997
|
||||
Mon, 19 Sep 2022 19:48:57: Epoch [3/25], Step [700/1289], Loss: 0.0786
|
||||
Mon, 19 Sep 2022 19:48:57: Epoch [3/25], Step [750/1289], Loss: 0.2376
|
||||
Mon, 19 Sep 2022 19:48:58: Epoch [3/25], Step [800/1289], Loss: 0.0650
|
||||
Mon, 19 Sep 2022 19:48:58: Epoch [3/25], Step [850/1289], Loss: 0.1182
|
||||
Mon, 19 Sep 2022 19:48:58: Epoch [3/25], Step [900/1289], Loss: 0.0983
|
||||
Mon, 19 Sep 2022 19:48:58: Epoch [3/25], Step [950/1289], Loss: 0.0245
|
||||
Mon, 19 Sep 2022 19:48:58: Epoch [3/25], Step [1000/1289], Loss: 0.1237
|
||||
Mon, 19 Sep 2022 19:48:59: Epoch [3/25], Step [1050/1289], Loss: 0.1200
|
||||
Mon, 19 Sep 2022 19:48:59: Epoch [3/25], Step [1100/1289], Loss: 0.0915
|
||||
Mon, 19 Sep 2022 19:48:59: Epoch [3/25], Step [1150/1289], Loss: 0.1174
|
||||
Mon, 19 Sep 2022 19:48:59: Epoch [3/25], Step [1200/1289], Loss: 0.0860
|
||||
Mon, 19 Sep 2022 19:48:59: Epoch [3/25], Step [1250/1289], Loss: 0.1332
|
||||
Mon, 19 Sep 2022 19:49:00: Epoch [4/25], Step [50/1289], Loss: 0.1624
|
||||
Mon, 19 Sep 2022 19:49:00: Epoch [4/25], Step [100/1289], Loss: 0.1403
|
||||
Mon, 19 Sep 2022 19:49:00: Epoch [4/25], Step [150/1289], Loss: 0.0417
|
||||
Mon, 19 Sep 2022 19:49:00: Epoch [4/25], Step [200/1289], Loss: 0.1312
|
||||
Mon, 19 Sep 2022 19:49:01: Epoch [4/25], Step [250/1289], Loss: 0.1543
|
||||
Mon, 19 Sep 2022 19:49:01: Epoch [4/25], Step [300/1289], Loss: 0.0846
|
||||
Mon, 19 Sep 2022 19:49:01: Epoch [4/25], Step [350/1289], Loss: 0.2223
|
||||
Mon, 19 Sep 2022 19:49:01: Epoch [4/25], Step [400/1289], Loss: 0.0999
|
||||
Mon, 19 Sep 2022 19:49:01: Epoch [4/25], Step [450/1289], Loss: 0.0545
|
||||
Mon, 19 Sep 2022 19:49:02: Epoch [4/25], Step [500/1289], Loss: 0.0511
|
||||
Mon, 19 Sep 2022 19:49:02: Epoch [4/25], Step [550/1289], Loss: 0.0604
|
||||
Mon, 19 Sep 2022 19:49:02: Epoch [4/25], Step [600/1289], Loss: 0.0384
|
||||
Mon, 19 Sep 2022 19:49:02: Epoch [4/25], Step [650/1289], Loss: 0.1027
|
||||
Mon, 19 Sep 2022 19:49:02: Epoch [4/25], Step [700/1289], Loss: 0.2445
|
||||
Mon, 19 Sep 2022 19:49:03: Epoch [4/25], Step [750/1289], Loss: 0.1060
|
||||
Mon, 19 Sep 2022 19:49:03: Epoch [4/25], Step [800/1289], Loss: 0.1382
|
||||
Mon, 19 Sep 2022 19:49:03: Epoch [4/25], Step [850/1289], Loss: 0.0583
|
||||
Mon, 19 Sep 2022 19:49:03: Epoch [4/25], Step [900/1289], Loss: 0.0863
|
||||
Mon, 19 Sep 2022 19:49:03: Epoch [4/25], Step [950/1289], Loss: 0.1776
|
||||
Mon, 19 Sep 2022 19:49:04: Epoch [4/25], Step [1000/1289], Loss: 0.1143
|
||||
Mon, 19 Sep 2022 19:49:04: Epoch [4/25], Step [1050/1289], Loss: 0.1965
|
||||
Mon, 19 Sep 2022 19:49:04: Epoch [4/25], Step [1100/1289], Loss: 0.1022
|
||||
Mon, 19 Sep 2022 19:49:04: Epoch [4/25], Step [1150/1289], Loss: 0.1021
|
||||
Mon, 19 Sep 2022 19:49:04: Epoch [4/25], Step [1200/1289], Loss: 0.1444
|
||||
Mon, 19 Sep 2022 19:49:05: Epoch [4/25], Step [1250/1289], Loss: 0.1751
|
||||
Mon, 19 Sep 2022 19:49:05: Epoch [5/25], Step [50/1289], Loss: 0.0916
|
||||
Mon, 19 Sep 2022 19:49:05: Epoch [5/25], Step [100/1289], Loss: 0.1218
|
||||
Mon, 19 Sep 2022 19:49:05: Epoch [5/25], Step [150/1289], Loss: 0.1439
|
||||
Mon, 19 Sep 2022 19:49:06: Epoch [5/25], Step [200/1289], Loss: 0.1014
|
||||
Mon, 19 Sep 2022 19:49:06: Epoch [5/25], Step [250/1289], Loss: 0.0694
|
||||
Mon, 19 Sep 2022 19:49:06: Epoch [5/25], Step [300/1289], Loss: 0.0378
|
||||
Mon, 19 Sep 2022 19:49:06: Epoch [5/25], Step [350/1289], Loss: 0.0566
|
||||
Mon, 19 Sep 2022 19:49:06: Epoch [5/25], Step [400/1289], Loss: 0.0803
|
||||
Mon, 19 Sep 2022 19:49:07: Epoch [5/25], Step [450/1289], Loss: 0.0556
|
||||
Mon, 19 Sep 2022 19:49:07: Epoch [5/25], Step [500/1289], Loss: 0.1287
|
||||
Mon, 19 Sep 2022 19:49:07: Epoch [5/25], Step [550/1289], Loss: 0.1052
|
||||
Mon, 19 Sep 2022 19:49:07: Epoch [5/25], Step [600/1289], Loss: 0.0572
|
||||
Mon, 19 Sep 2022 19:49:07: Epoch [5/25], Step [650/1289], Loss: 0.1194
|
||||
Mon, 19 Sep 2022 19:49:08: Epoch [5/25], Step [700/1289], Loss: 0.1120
|
||||
Mon, 19 Sep 2022 19:49:08: Epoch [5/25], Step [750/1289], Loss: 0.0952
|
||||
Mon, 19 Sep 2022 19:49:08: Epoch [5/25], Step [800/1289], Loss: 0.0896
|
||||
Mon, 19 Sep 2022 19:49:08: Epoch [5/25], Step [850/1289], Loss: 0.1473
|
||||
Mon, 19 Sep 2022 19:49:08: Epoch [5/25], Step [900/1289], Loss: 0.1760
|
||||
Mon, 19 Sep 2022 19:49:09: Epoch [5/25], Step [950/1289], Loss: 0.1274
|
||||
Mon, 19 Sep 2022 19:49:09: Epoch [5/25], Step [1000/1289], Loss: 0.1053
|
||||
Mon, 19 Sep 2022 19:49:09: Epoch [5/25], Step [1050/1289], Loss: 0.0928
|
||||
Mon, 19 Sep 2022 19:49:09: Epoch [5/25], Step [1100/1289], Loss: 0.0563
|
||||
Mon, 19 Sep 2022 19:49:09: Epoch [5/25], Step [1150/1289], Loss: 0.1069
|
||||
Mon, 19 Sep 2022 19:49:10: Epoch [5/25], Step [1200/1289], Loss: 0.1012
|
||||
Mon, 19 Sep 2022 19:49:10: Epoch [5/25], Step [1250/1289], Loss: 0.1246
|
||||
Mon, 19 Sep 2022 19:49:10: Epoch [6/25], Step [50/1289], Loss: 0.1239
|
||||
Mon, 19 Sep 2022 19:49:10: Epoch [6/25], Step [100/1289], Loss: 0.0621
|
||||
Mon, 19 Sep 2022 19:49:11: Epoch [6/25], Step [150/1289], Loss: 0.0991
|
||||
Mon, 19 Sep 2022 19:49:11: Epoch [6/25], Step [200/1289], Loss: 0.2580
|
||||
Mon, 19 Sep 2022 19:49:11: Epoch [6/25], Step [250/1289], Loss: 0.0567
|
||||
Mon, 19 Sep 2022 19:49:11: Epoch [6/25], Step [300/1289], Loss: 0.1058
|
||||
Mon, 19 Sep 2022 19:49:11: Epoch [6/25], Step [350/1289], Loss: 0.1054
|
||||
Mon, 19 Sep 2022 19:49:12: Epoch [6/25], Step [400/1289], Loss: 0.0340
|
||||
Mon, 19 Sep 2022 19:49:12: Epoch [6/25], Step [450/1289], Loss: 0.1586
|
||||
Mon, 19 Sep 2022 19:49:12: Epoch [6/25], Step [500/1289], Loss: 0.1611
|
||||
Mon, 19 Sep 2022 19:49:12: Epoch [6/25], Step [550/1289], Loss: 0.0542
|
||||
Mon, 19 Sep 2022 19:49:12: Epoch [6/25], Step [600/1289], Loss: 0.0839
|
||||
Mon, 19 Sep 2022 19:49:13: Epoch [6/25], Step [650/1289], Loss: 0.0236
|
||||
Mon, 19 Sep 2022 19:49:13: Epoch [6/25], Step [700/1289], Loss: 0.1094
|
||||
Mon, 19 Sep 2022 19:49:13: Epoch [6/25], Step [750/1289], Loss: 0.1672
|
||||
Mon, 19 Sep 2022 19:49:13: Epoch [6/25], Step [800/1289], Loss: 0.0567
|
||||
Mon, 19 Sep 2022 19:49:13: Epoch [6/25], Step [850/1289], Loss: 0.1453
|
||||
Mon, 19 Sep 2022 19:49:14: Epoch [6/25], Step [900/1289], Loss: 0.1146
|
||||
Mon, 19 Sep 2022 19:49:14: Epoch [6/25], Step [950/1289], Loss: 0.1775
|
||||
Mon, 19 Sep 2022 19:49:14: Epoch [6/25], Step [1000/1289], Loss: 0.1000
|
||||
Mon, 19 Sep 2022 19:49:14: Epoch [6/25], Step [1050/1289], Loss: 0.0790
|
||||
Mon, 19 Sep 2022 19:49:14: Epoch [6/25], Step [1100/1289], Loss: 0.1594
|
||||
Mon, 19 Sep 2022 19:49:15: Epoch [6/25], Step [1150/1289], Loss: 0.1462
|
||||
Mon, 19 Sep 2022 19:49:15: Epoch [6/25], Step [1200/1289], Loss: 0.0272
|
||||
Mon, 19 Sep 2022 19:49:15: Epoch [6/25], Step [1250/1289], Loss: 0.1226
|
||||
Mon, 19 Sep 2022 19:49:15: Epoch [7/25], Step [50/1289], Loss: 0.0314
|
||||
Mon, 19 Sep 2022 19:49:16: Epoch [7/25], Step [100/1289], Loss: 0.1057
|
||||
Mon, 19 Sep 2022 19:49:16: Epoch [7/25], Step [150/1289], Loss: 0.1172
|
||||
Mon, 19 Sep 2022 19:49:16: Epoch [7/25], Step [200/1289], Loss: 0.0536
|
||||
Mon, 19 Sep 2022 19:49:16: Epoch [7/25], Step [250/1289], Loss: 0.0646
|
||||
Mon, 19 Sep 2022 19:49:16: Epoch [7/25], Step [300/1289], Loss: 0.0762
|
||||
Mon, 19 Sep 2022 19:49:17: Epoch [7/25], Step [350/1289], Loss: 0.1279
|
||||
Mon, 19 Sep 2022 19:49:17: Epoch [7/25], Step [400/1289], Loss: 0.0845
|
||||
Mon, 19 Sep 2022 19:49:17: Epoch [7/25], Step [450/1289], Loss: 0.0670
|
||||
Mon, 19 Sep 2022 19:49:17: Epoch [7/25], Step [500/1289], Loss: 0.1552
|
||||
Mon, 19 Sep 2022 19:49:17: Epoch [7/25], Step [550/1289], Loss: 0.0498
|
||||
Mon, 19 Sep 2022 19:49:18: Epoch [7/25], Step [600/1289], Loss: 0.1392
|
||||
Mon, 19 Sep 2022 19:49:18: Epoch [7/25], Step [650/1289], Loss: 0.0891
|
||||
Mon, 19 Sep 2022 19:49:18: Epoch [7/25], Step [700/1289], Loss: 0.0940
|
||||
Mon, 19 Sep 2022 19:49:18: Epoch [7/25], Step [750/1289], Loss: 0.0720
|
||||
Mon, 19 Sep 2022 19:49:18: Epoch [7/25], Step [800/1289], Loss: 0.0544
|
||||
Mon, 19 Sep 2022 19:49:19: Epoch [7/25], Step [850/1289], Loss: 0.0737
|
||||
Mon, 19 Sep 2022 19:49:19: Epoch [7/25], Step [900/1289], Loss: 0.0982
|
||||
Mon, 19 Sep 2022 19:49:19: Epoch [7/25], Step [950/1289], Loss: 0.1809
|
||||
Mon, 19 Sep 2022 19:49:19: Epoch [7/25], Step [1000/1289], Loss: 0.0552
|
||||
Mon, 19 Sep 2022 19:49:19: Epoch [7/25], Step [1050/1289], Loss: 0.1759
|
||||
Mon, 19 Sep 2022 19:49:20: Epoch [7/25], Step [1100/1289], Loss: 0.0729
|
||||
Mon, 19 Sep 2022 19:49:20: Epoch [7/25], Step [1150/1289], Loss: 0.1136
|
||||
Mon, 19 Sep 2022 19:49:20: Epoch [7/25], Step [1200/1289], Loss: 0.0822
|
||||
Mon, 19 Sep 2022 19:49:20: Epoch [7/25], Step [1250/1289], Loss: 0.0230
|
||||
Mon, 19 Sep 2022 19:49:21: Epoch [8/25], Step [50/1289], Loss: 0.0906
|
||||
Mon, 19 Sep 2022 19:49:21: Epoch [8/25], Step [100/1289], Loss: 0.1500
|
||||
Mon, 19 Sep 2022 19:49:21: Epoch [8/25], Step [150/1289], Loss: 0.1208
|
||||
Mon, 19 Sep 2022 19:49:21: Epoch [8/25], Step [200/1289], Loss: 0.0326
|
||||
Mon, 19 Sep 2022 19:49:21: Epoch [8/25], Step [250/1289], Loss: 0.0300
|
||||
Mon, 19 Sep 2022 19:49:22: Epoch [8/25], Step [300/1289], Loss: 0.0845
|
||||
Mon, 19 Sep 2022 19:49:22: Epoch [8/25], Step [350/1289], Loss: 0.0508
|
||||
Mon, 19 Sep 2022 19:49:22: Epoch [8/25], Step [400/1289], Loss: 0.0745
|
||||
Mon, 19 Sep 2022 19:49:22: Epoch [8/25], Step [450/1289], Loss: 0.0407
|
||||
Mon, 19 Sep 2022 19:49:22: Epoch [8/25], Step [500/1289], Loss: 0.1000
|
||||
Mon, 19 Sep 2022 19:49:23: Epoch [8/25], Step [550/1289], Loss: 0.1005
|
||||
Mon, 19 Sep 2022 19:49:23: Epoch [8/25], Step [600/1289], Loss: 0.0494
|
||||
Mon, 19 Sep 2022 19:49:23: Epoch [8/25], Step [650/1289], Loss: 0.0451
|
||||
Mon, 19 Sep 2022 19:49:23: Epoch [8/25], Step [700/1289], Loss: 0.0968
|
||||
Mon, 19 Sep 2022 19:49:23: Epoch [8/25], Step [750/1289], Loss: 0.0789
|
||||
Mon, 19 Sep 2022 19:49:24: Epoch [8/25], Step [800/1289], Loss: 0.0721
|
||||
Mon, 19 Sep 2022 19:49:24: Epoch [8/25], Step [850/1289], Loss: 0.0684
|
||||
Mon, 19 Sep 2022 19:49:24: Epoch [8/25], Step [900/1289], Loss: 0.0608
|
||||
Mon, 19 Sep 2022 19:49:24: Epoch [8/25], Step [950/1289], Loss: 0.1150
|
||||
Mon, 19 Sep 2022 19:49:24: Epoch [8/25], Step [1000/1289], Loss: 0.0831
|
||||
Mon, 19 Sep 2022 19:49:25: Epoch [8/25], Step [1050/1289], Loss: 0.1254
|
||||
Mon, 19 Sep 2022 19:49:25: Epoch [8/25], Step [1100/1289], Loss: 0.0519
|
||||
Mon, 19 Sep 2022 19:49:25: Epoch [8/25], Step [1150/1289], Loss: 0.0415
|
||||
Mon, 19 Sep 2022 19:49:25: Epoch [8/25], Step [1200/1289], Loss: 0.1103
|
||||
Mon, 19 Sep 2022 19:49:25: Epoch [8/25], Step [1250/1289], Loss: 0.0381
|
||||
Mon, 19 Sep 2022 19:49:26: Epoch [9/25], Step [50/1289], Loss: 0.1452
|
||||
Mon, 19 Sep 2022 19:49:26: Epoch [9/25], Step [100/1289], Loss: 0.0609
|
||||
Mon, 19 Sep 2022 19:49:26: Epoch [9/25], Step [150/1289], Loss: 0.0643
|
||||
Mon, 19 Sep 2022 19:49:26: Epoch [9/25], Step [200/1289], Loss: 0.0310
|
||||
Mon, 19 Sep 2022 19:49:27: Epoch [9/25], Step [250/1289], Loss: 0.0820
|
||||
Mon, 19 Sep 2022 19:49:27: Epoch [9/25], Step [300/1289], Loss: 0.0706
|
||||
Mon, 19 Sep 2022 19:49:27: Epoch [9/25], Step [350/1289], Loss: 0.0488
|
||||
Mon, 19 Sep 2022 19:49:27: Epoch [9/25], Step [400/1289], Loss: 0.0809
|
||||
Mon, 19 Sep 2022 19:49:27: Epoch [9/25], Step [450/1289], Loss: 0.0877
|
||||
Mon, 19 Sep 2022 19:49:28: Epoch [9/25], Step [500/1289], Loss: 0.1060
|
||||
Mon, 19 Sep 2022 19:49:28: Epoch [9/25], Step [550/1289], Loss: 0.1079
|
||||
Mon, 19 Sep 2022 19:49:28: Epoch [9/25], Step [600/1289], Loss: 0.0370
|
||||
Mon, 19 Sep 2022 19:49:28: Epoch [9/25], Step [650/1289], Loss: 0.1193
|
||||
Mon, 19 Sep 2022 19:49:28: Epoch [9/25], Step [700/1289], Loss: 0.0726
|
||||
Mon, 19 Sep 2022 19:49:29: Epoch [9/25], Step [750/1289], Loss: 0.0709
|
||||
Mon, 19 Sep 2022 19:49:29: Epoch [9/25], Step [800/1289], Loss: 0.0994
|
||||
Mon, 19 Sep 2022 19:49:29: Epoch [9/25], Step [850/1289], Loss: 0.0924
|
||||
Mon, 19 Sep 2022 19:49:29: Epoch [9/25], Step [900/1289], Loss: 0.0469
|
||||
Mon, 19 Sep 2022 19:49:29: Epoch [9/25], Step [950/1289], Loss: 0.0917
|
||||
Mon, 19 Sep 2022 19:49:30: Epoch [9/25], Step [1000/1289], Loss: 0.0514
|
||||
Mon, 19 Sep 2022 19:49:30: Epoch [9/25], Step [1050/1289], Loss: 0.1019
|
||||
Mon, 19 Sep 2022 19:49:30: Epoch [9/25], Step [1100/1289], Loss: 0.0880
|
||||
Mon, 19 Sep 2022 19:49:30: Epoch [9/25], Step [1150/1289], Loss: 0.0459
|
||||
Mon, 19 Sep 2022 19:49:30: Epoch [9/25], Step [1200/1289], Loss: 0.0480
|
||||
Mon, 19 Sep 2022 19:49:31: Epoch [9/25], Step [1250/1289], Loss: 0.0381
|
||||
Mon, 19 Sep 2022 19:49:31: Epoch [10/25], Step [50/1289], Loss: 0.0352
|
||||
Mon, 19 Sep 2022 19:49:31: Epoch [10/25], Step [100/1289], Loss: 0.1383
|
||||
Mon, 19 Sep 2022 19:49:32: Epoch [10/25], Step [150/1289], Loss: 0.0657
|
||||
Mon, 19 Sep 2022 19:49:32: Epoch [10/25], Step [200/1289], Loss: 0.0963
|
||||
Mon, 19 Sep 2022 19:49:32: Epoch [10/25], Step [250/1289], Loss: 0.0430
|
||||
Mon, 19 Sep 2022 19:49:32: Epoch [10/25], Step [300/1289], Loss: 0.1316
|
||||
Mon, 19 Sep 2022 19:49:32: Epoch [10/25], Step [350/1289], Loss: 0.0226
|
||||
Mon, 19 Sep 2022 19:49:33: Epoch [10/25], Step [400/1289], Loss: 0.0519
|
||||
Mon, 19 Sep 2022 19:49:33: Epoch [10/25], Step [450/1289], Loss: 0.0183
|
||||
Mon, 19 Sep 2022 19:49:33: Epoch [10/25], Step [500/1289], Loss: 0.0370
|
||||
Mon, 19 Sep 2022 19:49:33: Epoch [10/25], Step [550/1289], Loss: 0.0352
|
||||
Mon, 19 Sep 2022 19:49:33: Epoch [10/25], Step [600/1289], Loss: 0.0753
|
||||
Mon, 19 Sep 2022 19:49:34: Epoch [10/25], Step [650/1289], Loss: 0.0444
|
||||
Mon, 19 Sep 2022 19:49:34: Epoch [10/25], Step [700/1289], Loss: 0.0419
|
||||
Mon, 19 Sep 2022 19:49:34: Epoch [10/25], Step [750/1289], Loss: 0.0512
|
||||
Mon, 19 Sep 2022 19:49:34: Epoch [10/25], Step [800/1289], Loss: 0.0815
|
||||
Mon, 19 Sep 2022 19:49:34: Epoch [10/25], Step [850/1289], Loss: 0.0246
|
||||
Mon, 19 Sep 2022 19:49:35: Epoch [10/25], Step [900/1289], Loss: 0.0408
|
||||
Mon, 19 Sep 2022 19:49:35: Epoch [10/25], Step [950/1289], Loss: 0.0884
|
||||
Mon, 19 Sep 2022 19:49:35: Epoch [10/25], Step [1000/1289], Loss: 0.0949
|
||||
Mon, 19 Sep 2022 19:49:35: Epoch [10/25], Step [1050/1289], Loss: 0.0975
|
||||
Mon, 19 Sep 2022 19:49:35: Epoch [10/25], Step [1100/1289], Loss: 0.1183
|
||||
Mon, 19 Sep 2022 19:49:36: Epoch [10/25], Step [1150/1289], Loss: 0.1497
|
||||
Mon, 19 Sep 2022 19:49:36: Epoch [10/25], Step [1200/1289], Loss: 0.0970
|
||||
Mon, 19 Sep 2022 19:49:36: Epoch [10/25], Step [1250/1289], Loss: 0.0924
|
||||
Mon, 19 Sep 2022 19:49:36: Epoch [11/25], Step [50/1289], Loss: 0.1112
|
||||
Mon, 19 Sep 2022 19:49:37: Epoch [11/25], Step [100/1289], Loss: 0.0370
|
||||
Mon, 19 Sep 2022 19:49:37: Epoch [11/25], Step [150/1289], Loss: 0.0389
|
||||
Mon, 19 Sep 2022 19:49:37: Epoch [11/25], Step [200/1289], Loss: 0.0807
|
||||
Mon, 19 Sep 2022 19:49:37: Epoch [11/25], Step [250/1289], Loss: 0.0539
|
||||
Mon, 19 Sep 2022 19:49:37: Epoch [11/25], Step [300/1289], Loss: 0.0658
|
||||
Mon, 19 Sep 2022 19:49:38: Epoch [11/25], Step [350/1289], Loss: 0.2212
|
||||
Mon, 19 Sep 2022 19:49:38: Epoch [11/25], Step [400/1289], Loss: 0.0221
|
||||
Mon, 19 Sep 2022 19:49:38: Epoch [11/25], Step [450/1289], Loss: 0.0625
|
||||
Mon, 19 Sep 2022 19:49:38: Epoch [11/25], Step [500/1289], Loss: 0.0756
|
||||
Mon, 19 Sep 2022 19:49:38: Epoch [11/25], Step [550/1289], Loss: 0.1047
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [600/1289], Loss: 0.0611
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [650/1289], Loss: 0.0937
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [700/1289], Loss: 0.0796
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [750/1289], Loss: 0.0753
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [800/1289], Loss: 0.0765
|
||||
Mon, 19 Sep 2022 19:49:39: Epoch [11/25], Step [850/1289], Loss: 0.0480
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [900/1289], Loss: 0.1587
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [950/1289], Loss: 0.0430
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [1000/1289], Loss: 0.0411
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [1050/1289], Loss: 0.0423
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [1100/1289], Loss: 0.0469
|
||||
Mon, 19 Sep 2022 19:49:40: Epoch [11/25], Step [1150/1289], Loss: 0.0828
|
||||
Mon, 19 Sep 2022 19:49:41: Epoch [11/25], Step [1200/1289], Loss: 0.0573
|
||||
Mon, 19 Sep 2022 19:49:41: Epoch [11/25], Step [1250/1289], Loss: 0.0962
|
||||
Mon, 19 Sep 2022 19:49:41: Epoch [12/25], Step [50/1289], Loss: 0.0782
|
||||
Mon, 19 Sep 2022 19:49:41: Epoch [12/25], Step [100/1289], Loss: 0.0358
|
||||
Mon, 19 Sep 2022 19:49:41: Epoch [12/25], Step [150/1289], Loss: 0.0294
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [200/1289], Loss: 0.0519
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [250/1289], Loss: 0.0187
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [300/1289], Loss: 0.0222
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [350/1289], Loss: 0.0708
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [400/1289], Loss: 0.0896
|
||||
Mon, 19 Sep 2022 19:49:42: Epoch [12/25], Step [450/1289], Loss: 0.0731
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [500/1289], Loss: 0.0288
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [550/1289], Loss: 0.1004
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [600/1289], Loss: 0.0204
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [650/1289], Loss: 0.0760
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [700/1289], Loss: 0.0103
|
||||
Mon, 19 Sep 2022 19:49:43: Epoch [12/25], Step [750/1289], Loss: 0.1217
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [800/1289], Loss: 0.0469
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [850/1289], Loss: 0.1227
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [900/1289], Loss: 0.0369
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [950/1289], Loss: 0.0724
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [1000/1289], Loss: 0.0809
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [1050/1289], Loss: 0.0624
|
||||
Mon, 19 Sep 2022 19:49:44: Epoch [12/25], Step [1100/1289], Loss: 0.1431
|
||||
Mon, 19 Sep 2022 19:49:45: Epoch [12/25], Step [1150/1289], Loss: 0.0849
|
||||
Mon, 19 Sep 2022 19:49:45: Epoch [12/25], Step [1200/1289], Loss: 0.0365
|
||||
Mon, 19 Sep 2022 19:49:45: Epoch [12/25], Step [1250/1289], Loss: 0.0405
|
||||
Mon, 19 Sep 2022 19:49:45: Epoch [13/25], Step [50/1289], Loss: 0.0505
|
||||
Mon, 19 Sep 2022 19:49:45: Epoch [13/25], Step [100/1289], Loss: 0.0983
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [150/1289], Loss: 0.1035
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [200/1289], Loss: 0.0382
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [250/1289], Loss: 0.0781
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [300/1289], Loss: 0.0545
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [350/1289], Loss: 0.0284
|
||||
Mon, 19 Sep 2022 19:49:46: Epoch [13/25], Step [400/1289], Loss: 0.0233
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [450/1289], Loss: 0.0320
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [500/1289], Loss: 0.0432
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [550/1289], Loss: 0.0182
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [600/1289], Loss: 0.1654
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [650/1289], Loss: 0.0234
|
||||
Mon, 19 Sep 2022 19:49:47: Epoch [13/25], Step [700/1289], Loss: 0.0485
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [750/1289], Loss: 0.0643
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [800/1289], Loss: 0.0250
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [850/1289], Loss: 0.0233
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [900/1289], Loss: 0.0403
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [950/1289], Loss: 0.0248
|
||||
Mon, 19 Sep 2022 19:49:48: Epoch [13/25], Step [1000/1289], Loss: 0.0469
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [13/25], Step [1050/1289], Loss: 0.1079
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [13/25], Step [1100/1289], Loss: 0.0661
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [13/25], Step [1150/1289], Loss: 0.0494
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [13/25], Step [1200/1289], Loss: 0.0660
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [13/25], Step [1250/1289], Loss: 0.0875
|
||||
Mon, 19 Sep 2022 19:49:49: Epoch [14/25], Step [50/1289], Loss: 0.0476
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [100/1289], Loss: 0.0389
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [150/1289], Loss: 0.0711
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [200/1289], Loss: 0.0387
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [250/1289], Loss: 0.0569
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [300/1289], Loss: 0.0549
|
||||
Mon, 19 Sep 2022 19:49:50: Epoch [14/25], Step [350/1289], Loss: 0.0566
|
||||
Mon, 19 Sep 2022 19:49:51: Epoch [14/25], Step [400/1289], Loss: 0.1546
|
||||
Mon, 19 Sep 2022 19:49:51: Epoch [14/25], Step [450/1289], Loss: 0.0171
|
||||
Mon, 19 Sep 2022 19:49:51: Epoch [14/25], Step [500/1289], Loss: 0.0143
|
||||
Mon, 19 Sep 2022 19:49:51: Epoch [14/25], Step [550/1289], Loss: 0.0618
|
||||
Mon, 19 Sep 2022 19:49:51: Epoch [14/25], Step [600/1289], Loss: 0.0847
|
||||
Mon, 19 Sep 2022 19:49:52: Epoch [14/25], Step [650/1289], Loss: 0.0744
|
||||
Mon, 19 Sep 2022 19:49:52: Epoch [14/25], Step [700/1289], Loss: 0.1689
|
||||
Mon, 19 Sep 2022 19:49:52: Epoch [14/25], Step [750/1289], Loss: 0.1081
|
||||
Mon, 19 Sep 2022 19:49:52: Epoch [14/25], Step [800/1289], Loss: 0.0561
|
||||
Mon, 19 Sep 2022 19:49:52: Epoch [14/25], Step [850/1289], Loss: 0.0653
|
||||
Mon, 19 Sep 2022 19:49:53: Epoch [14/25], Step [900/1289], Loss: 0.0099
|
||||
Mon, 19 Sep 2022 19:49:53: Epoch [14/25], Step [950/1289], Loss: 0.0297
|
||||
Mon, 19 Sep 2022 19:49:53: Epoch [14/25], Step [1000/1289], Loss: 0.0414
|
||||
Mon, 19 Sep 2022 19:49:53: Epoch [14/25], Step [1050/1289], Loss: 0.0370
|
||||
Mon, 19 Sep 2022 19:49:53: Epoch [14/25], Step [1100/1289], Loss: 0.0540
|
||||
Mon, 19 Sep 2022 19:49:54: Epoch [14/25], Step [1150/1289], Loss: 0.0532
|
||||
Mon, 19 Sep 2022 19:49:54: Epoch [14/25], Step [1200/1289], Loss: 0.0155
|
||||
Mon, 19 Sep 2022 19:49:54: Epoch [14/25], Step [1250/1289], Loss: 0.0605
|
||||
Mon, 19 Sep 2022 19:49:54: Epoch [15/25], Step [50/1289], Loss: 0.1231
|
||||
Mon, 19 Sep 2022 19:49:55: Epoch [15/25], Step [100/1289], Loss: 0.0899
|
||||
Mon, 19 Sep 2022 19:49:55: Epoch [15/25], Step [150/1289], Loss: 0.0216
|
||||
Mon, 19 Sep 2022 19:49:55: Epoch [15/25], Step [200/1289], Loss: 0.0467
|
||||
Mon, 19 Sep 2022 19:49:55: Epoch [15/25], Step [250/1289], Loss: 0.0556
|
||||
Mon, 19 Sep 2022 19:49:56: Epoch [15/25], Step [300/1289], Loss: 0.0246
|
||||
Mon, 19 Sep 2022 19:49:56: Epoch [15/25], Step [350/1289], Loss: 0.0120
|
||||
Mon, 19 Sep 2022 19:49:56: Epoch [15/25], Step [400/1289], Loss: 0.0126
|
||||
Mon, 19 Sep 2022 19:49:56: Epoch [15/25], Step [450/1289], Loss: 0.0785
|
||||
Mon, 19 Sep 2022 19:49:56: Epoch [15/25], Step [500/1289], Loss: 0.0526
|
||||
Mon, 19 Sep 2022 19:49:57: Epoch [15/25], Step [550/1289], Loss: 0.0765
|
||||
Mon, 19 Sep 2022 19:49:57: Epoch [15/25], Step [600/1289], Loss: 0.0253
|
||||
Mon, 19 Sep 2022 19:49:57: Epoch [15/25], Step [650/1289], Loss: 0.0301
|
||||
Mon, 19 Sep 2022 19:49:57: Epoch [15/25], Step [700/1289], Loss: 0.0452
|
||||
Mon, 19 Sep 2022 19:49:57: Epoch [15/25], Step [750/1289], Loss: 0.0527
|
||||
Mon, 19 Sep 2022 19:49:58: Epoch [15/25], Step [800/1289], Loss: 0.1316
|
||||
Mon, 19 Sep 2022 19:49:58: Epoch [15/25], Step [850/1289], Loss: 0.0860
|
||||
Mon, 19 Sep 2022 19:49:58: Epoch [15/25], Step [900/1289], Loss: 0.0529
|
||||
Mon, 19 Sep 2022 19:49:58: Epoch [15/25], Step [950/1289], Loss: 0.0447
|
||||
Mon, 19 Sep 2022 19:49:58: Epoch [15/25], Step [1000/1289], Loss: 0.0292
|
||||
Mon, 19 Sep 2022 19:49:59: Epoch [15/25], Step [1050/1289], Loss: 0.0279
|
||||
Mon, 19 Sep 2022 19:49:59: Epoch [15/25], Step [1100/1289], Loss: 0.0450
|
||||
Mon, 19 Sep 2022 19:49:59: Epoch [15/25], Step [1150/1289], Loss: 0.0400
|
||||
Mon, 19 Sep 2022 19:49:59: Epoch [15/25], Step [1200/1289], Loss: 0.0861
|
||||
Mon, 19 Sep 2022 19:49:59: Epoch [15/25], Step [1250/1289], Loss: 0.0173
|
||||
Mon, 19 Sep 2022 19:50:00: Epoch [16/25], Step [50/1289], Loss: 0.0235
|
||||
Mon, 19 Sep 2022 19:50:00: Epoch [16/25], Step [100/1289], Loss: 0.0168
|
||||
Mon, 19 Sep 2022 19:50:00: Epoch [16/25], Step [150/1289], Loss: 0.0779
|
||||
Mon, 19 Sep 2022 19:50:00: Epoch [16/25], Step [200/1289], Loss: 0.0777
|
||||
Mon, 19 Sep 2022 19:50:01: Epoch [16/25], Step [250/1289], Loss: 0.0941
|
||||
Mon, 19 Sep 2022 19:50:01: Epoch [16/25], Step [300/1289], Loss: 0.0303
|
||||
Mon, 19 Sep 2022 19:50:01: Epoch [16/25], Step [350/1289], Loss: 0.0822
|
||||
Mon, 19 Sep 2022 19:50:01: Epoch [16/25], Step [400/1289], Loss: 0.0618
|
||||
Mon, 19 Sep 2022 19:50:01: Epoch [16/25], Step [450/1289], Loss: 0.0608
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [500/1289], Loss: 0.0285
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [550/1289], Loss: 0.0296
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [600/1289], Loss: 0.0225
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [650/1289], Loss: 0.0975
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [700/1289], Loss: 0.0466
|
||||
Mon, 19 Sep 2022 19:50:02: Epoch [16/25], Step [750/1289], Loss: 0.0367
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [800/1289], Loss: 0.0946
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [850/1289], Loss: 0.0111
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [900/1289], Loss: 0.1106
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [950/1289], Loss: 0.0351
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [1000/1289], Loss: 0.0480
|
||||
Mon, 19 Sep 2022 19:50:03: Epoch [16/25], Step [1050/1289], Loss: 0.0299
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [16/25], Step [1100/1289], Loss: 0.0770
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [16/25], Step [1150/1289], Loss: 0.1086
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [16/25], Step [1200/1289], Loss: 0.0818
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [16/25], Step [1250/1289], Loss: 0.0638
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [17/25], Step [50/1289], Loss: 0.0494
|
||||
Mon, 19 Sep 2022 19:50:04: Epoch [17/25], Step [100/1289], Loss: 0.0679
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [150/1289], Loss: 0.0261
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [200/1289], Loss: 0.0468
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [250/1289], Loss: 0.0274
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [300/1289], Loss: 0.0593
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [350/1289], Loss: 0.0441
|
||||
Mon, 19 Sep 2022 19:50:05: Epoch [17/25], Step [400/1289], Loss: 0.0785
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [450/1289], Loss: 0.0863
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [500/1289], Loss: 0.0341
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [550/1289], Loss: 0.0649
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [600/1289], Loss: 0.0217
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [650/1289], Loss: 0.0268
|
||||
Mon, 19 Sep 2022 19:50:06: Epoch [17/25], Step [700/1289], Loss: 0.0093
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [750/1289], Loss: 0.0249
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [800/1289], Loss: 0.0576
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [850/1289], Loss: 0.0086
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [900/1289], Loss: 0.0665
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [950/1289], Loss: 0.0690
|
||||
Mon, 19 Sep 2022 19:50:07: Epoch [17/25], Step [1000/1289], Loss: 0.0662
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [17/25], Step [1050/1289], Loss: 0.0264
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [17/25], Step [1100/1289], Loss: 0.0263
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [17/25], Step [1150/1289], Loss: 0.0208
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [17/25], Step [1200/1289], Loss: 0.0204
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [17/25], Step [1250/1289], Loss: 0.0450
|
||||
Mon, 19 Sep 2022 19:50:08: Epoch [18/25], Step [50/1289], Loss: 0.0202
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [100/1289], Loss: 0.0452
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [150/1289], Loss: 0.0604
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [200/1289], Loss: 0.0203
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [250/1289], Loss: 0.0554
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [300/1289], Loss: 0.0683
|
||||
Mon, 19 Sep 2022 19:50:09: Epoch [18/25], Step [350/1289], Loss: 0.0145
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [400/1289], Loss: 0.0374
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [450/1289], Loss: 0.0672
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [500/1289], Loss: 0.0607
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [550/1289], Loss: 0.0842
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [600/1289], Loss: 0.0286
|
||||
Mon, 19 Sep 2022 19:50:10: Epoch [18/25], Step [650/1289], Loss: 0.0550
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [700/1289], Loss: 0.1135
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [750/1289], Loss: 0.0295
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [800/1289], Loss: 0.0075
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [850/1289], Loss: 0.0620
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [900/1289], Loss: 0.0093
|
||||
Mon, 19 Sep 2022 19:50:11: Epoch [18/25], Step [950/1289], Loss: 0.0254
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1000/1289], Loss: 0.0820
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1050/1289], Loss: 0.0311
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1100/1289], Loss: 0.0640
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1150/1289], Loss: 0.1146
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1200/1289], Loss: 0.0653
|
||||
Mon, 19 Sep 2022 19:50:12: Epoch [18/25], Step [1250/1289], Loss: 0.0161
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [50/1289], Loss: 0.0313
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [100/1289], Loss: 0.1279
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [150/1289], Loss: 0.0088
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [200/1289], Loss: 0.0401
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [250/1289], Loss: 0.0755
|
||||
Mon, 19 Sep 2022 19:50:13: Epoch [19/25], Step [300/1289], Loss: 0.0839
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [350/1289], Loss: 0.0605
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [400/1289], Loss: 0.0789
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [450/1289], Loss: 0.0193
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [500/1289], Loss: 0.0117
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [550/1289], Loss: 0.0543
|
||||
Mon, 19 Sep 2022 19:50:14: Epoch [19/25], Step [600/1289], Loss: 0.0644
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [650/1289], Loss: 0.0376
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [700/1289], Loss: 0.0080
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [750/1289], Loss: 0.0345
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [800/1289], Loss: 0.0101
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [850/1289], Loss: 0.0156
|
||||
Mon, 19 Sep 2022 19:50:15: Epoch [19/25], Step [900/1289], Loss: 0.0339
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [950/1289], Loss: 0.0112
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1000/1289], Loss: 0.0105
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1050/1289], Loss: 0.0176
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1100/1289], Loss: 0.0385
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1150/1289], Loss: 0.0611
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1200/1289], Loss: 0.0719
|
||||
Mon, 19 Sep 2022 19:50:16: Epoch [19/25], Step [1250/1289], Loss: 0.0187
|
||||
Mon, 19 Sep 2022 19:50:17: Epoch [20/25], Step [50/1289], Loss: 0.0779
|
||||
Mon, 19 Sep 2022 19:50:17: Epoch [20/25], Step [100/1289], Loss: 0.0097
|
||||
Mon, 19 Sep 2022 19:50:17: Epoch [20/25], Step [150/1289], Loss: 0.0089
|
||||
Mon, 19 Sep 2022 19:50:17: Epoch [20/25], Step [200/1289], Loss: 0.0561
|
||||
Mon, 19 Sep 2022 19:50:17: Epoch [20/25], Step [250/1289], Loss: 0.0705
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [300/1289], Loss: 0.0571
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [350/1289], Loss: 0.0078
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [400/1289], Loss: 0.0347
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [450/1289], Loss: 0.0590
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [500/1289], Loss: 0.0348
|
||||
Mon, 19 Sep 2022 19:50:18: Epoch [20/25], Step [550/1289], Loss: 0.0208
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [600/1289], Loss: 0.0621
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [650/1289], Loss: 0.0054
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [700/1289], Loss: 0.0189
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [750/1289], Loss: 0.0092
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [800/1289], Loss: 0.0582
|
||||
Mon, 19 Sep 2022 19:50:19: Epoch [20/25], Step [850/1289], Loss: 0.0111
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [900/1289], Loss: 0.0281
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [950/1289], Loss: 0.0659
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [1000/1289], Loss: 0.0369
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [1050/1289], Loss: 0.0074
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [1100/1289], Loss: 0.0644
|
||||
Mon, 19 Sep 2022 19:50:20: Epoch [20/25], Step [1150/1289], Loss: 0.0113
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [20/25], Step [1200/1289], Loss: 0.0595
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [20/25], Step [1250/1289], Loss: 0.0128
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [21/25], Step [50/1289], Loss: 0.0499
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [21/25], Step [100/1289], Loss: 0.1009
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [21/25], Step [150/1289], Loss: 0.0088
|
||||
Mon, 19 Sep 2022 19:50:21: Epoch [21/25], Step [200/1289], Loss: 0.0115
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [250/1289], Loss: 0.0204
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [300/1289], Loss: 0.0799
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [350/1289], Loss: 0.1428
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [400/1289], Loss: 0.0634
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [450/1289], Loss: 0.0727
|
||||
Mon, 19 Sep 2022 19:50:22: Epoch [21/25], Step [500/1289], Loss: 0.0360
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [550/1289], Loss: 0.0568
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [600/1289], Loss: 0.0471
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [650/1289], Loss: 0.0175
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [700/1289], Loss: 0.0782
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [750/1289], Loss: 0.0156
|
||||
Mon, 19 Sep 2022 19:50:23: Epoch [21/25], Step [800/1289], Loss: 0.0562
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [850/1289], Loss: 0.0885
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [900/1289], Loss: 0.0238
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [950/1289], Loss: 0.0268
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [1000/1289], Loss: 0.0471
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [1050/1289], Loss: 0.0178
|
||||
Mon, 19 Sep 2022 19:50:24: Epoch [21/25], Step [1100/1289], Loss: 0.0848
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [21/25], Step [1150/1289], Loss: 0.0862
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [21/25], Step [1200/1289], Loss: 0.0317
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [21/25], Step [1250/1289], Loss: 0.0433
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [22/25], Step [50/1289], Loss: 0.0525
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [22/25], Step [100/1289], Loss: 0.0114
|
||||
Mon, 19 Sep 2022 19:50:25: Epoch [22/25], Step [150/1289], Loss: 0.0374
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [200/1289], Loss: 0.0609
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [250/1289], Loss: 0.0654
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [300/1289], Loss: 0.0204
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [350/1289], Loss: 0.0612
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [400/1289], Loss: 0.0422
|
||||
Mon, 19 Sep 2022 19:50:26: Epoch [22/25], Step [450/1289], Loss: 0.0289
|
||||
Mon, 19 Sep 2022 19:50:27: Epoch [22/25], Step [500/1289], Loss: 0.0674
|
||||
Mon, 19 Sep 2022 19:50:27: Epoch [22/25], Step [550/1289], Loss: 0.1000
|
||||
Mon, 19 Sep 2022 19:50:27: Epoch [22/25], Step [600/1289], Loss: 0.0304
|
||||
Mon, 19 Sep 2022 19:50:27: Epoch [22/25], Step [650/1289], Loss: 0.0951
|
||||
Mon, 19 Sep 2022 19:50:27: Epoch [22/25], Step [700/1289], Loss: 0.0069
|
||||
Mon, 19 Sep 2022 19:50:28: Epoch [22/25], Step [750/1289], Loss: 0.0211
|
||||
Mon, 19 Sep 2022 19:50:28: Epoch [22/25], Step [800/1289], Loss: 0.0101
|
||||
Mon, 19 Sep 2022 19:50:28: Epoch [22/25], Step [850/1289], Loss: 0.0189
|
||||
Mon, 19 Sep 2022 19:50:28: Epoch [22/25], Step [900/1289], Loss: 0.0141
|
||||
Mon, 19 Sep 2022 19:50:28: Epoch [22/25], Step [950/1289], Loss: 0.0186
|
||||
Mon, 19 Sep 2022 19:50:29: Epoch [22/25], Step [1000/1289], Loss: 0.0178
|
||||
Mon, 19 Sep 2022 19:50:29: Epoch [22/25], Step [1050/1289], Loss: 0.0141
|
||||
Mon, 19 Sep 2022 19:50:29: Epoch [22/25], Step [1100/1289], Loss: 0.0353
|
||||
Mon, 19 Sep 2022 19:50:29: Epoch [22/25], Step [1150/1289], Loss: 0.0900
|
||||
Mon, 19 Sep 2022 19:50:29: Epoch [22/25], Step [1200/1289], Loss: 0.0435
|
||||
Mon, 19 Sep 2022 19:50:30: Epoch [22/25], Step [1250/1289], Loss: 0.0081
|
||||
Mon, 19 Sep 2022 19:50:30: Epoch [23/25], Step [50/1289], Loss: 0.0199
|
||||
Mon, 19 Sep 2022 19:50:30: Epoch [23/25], Step [100/1289], Loss: 0.0311
|
||||
Mon, 19 Sep 2022 19:50:30: Epoch [23/25], Step [150/1289], Loss: 0.0127
|
||||
Mon, 19 Sep 2022 19:50:31: Epoch [23/25], Step [200/1289], Loss: 0.0181
|
||||
Mon, 19 Sep 2022 19:50:31: Epoch [23/25], Step [250/1289], Loss: 0.1217
|
||||
Mon, 19 Sep 2022 19:50:31: Epoch [23/25], Step [300/1289], Loss: 0.0264
|
||||
Mon, 19 Sep 2022 19:50:31: Epoch [23/25], Step [350/1289], Loss: 0.0786
|
||||
Mon, 19 Sep 2022 19:50:31: Epoch [23/25], Step [400/1289], Loss: 0.0766
|
||||
Mon, 19 Sep 2022 19:50:32: Epoch [23/25], Step [450/1289], Loss: 0.0537
|
||||
Mon, 19 Sep 2022 19:50:32: Epoch [23/25], Step [500/1289], Loss: 0.0030
|
||||
Mon, 19 Sep 2022 19:50:32: Epoch [23/25], Step [550/1289], Loss: 0.0606
|
||||
Mon, 19 Sep 2022 19:50:32: Epoch [23/25], Step [600/1289], Loss: 0.0469
|
||||
Mon, 19 Sep 2022 19:50:32: Epoch [23/25], Step [650/1289], Loss: 0.0176
|
||||
Mon, 19 Sep 2022 19:50:33: Epoch [23/25], Step [700/1289], Loss: 0.0492
|
||||
Mon, 19 Sep 2022 19:50:33: Epoch [23/25], Step [750/1289], Loss: 0.1100
|
||||
Mon, 19 Sep 2022 19:50:33: Epoch [23/25], Step [800/1289], Loss: 0.0332
|
||||
Mon, 19 Sep 2022 19:50:33: Epoch [23/25], Step [850/1289], Loss: 0.0881
|
||||
Mon, 19 Sep 2022 19:50:34: Epoch [23/25], Step [900/1289], Loss: 0.0113
|
||||
Mon, 19 Sep 2022 19:50:34: Epoch [23/25], Step [950/1289], Loss: 0.0606
|
||||
Mon, 19 Sep 2022 19:50:34: Epoch [23/25], Step [1000/1289], Loss: 0.0549
|
||||
Mon, 19 Sep 2022 19:50:34: Epoch [23/25], Step [1050/1289], Loss: 0.0458
|
||||
Mon, 19 Sep 2022 19:50:34: Epoch [23/25], Step [1100/1289], Loss: 0.0353
|
||||
Mon, 19 Sep 2022 19:50:35: Epoch [23/25], Step [1150/1289], Loss: 0.0253
|
||||
Mon, 19 Sep 2022 19:50:35: Epoch [23/25], Step [1200/1289], Loss: 0.0406
|
||||
Mon, 19 Sep 2022 19:50:35: Epoch [23/25], Step [1250/1289], Loss: 0.0145
|
||||
Mon, 19 Sep 2022 19:50:35: Epoch [24/25], Step [50/1289], Loss: 0.0423
|
||||
Mon, 19 Sep 2022 19:50:36: Epoch [24/25], Step [100/1289], Loss: 0.0234
|
||||
Mon, 19 Sep 2022 19:50:36: Epoch [24/25], Step [150/1289], Loss: 0.0054
|
||||
Mon, 19 Sep 2022 19:50:36: Epoch [24/25], Step [200/1289], Loss: 0.0794
|
||||
Mon, 19 Sep 2022 19:50:36: Epoch [24/25], Step [250/1289], Loss: 0.0227
|
||||
Mon, 19 Sep 2022 19:50:36: Epoch [24/25], Step [300/1289], Loss: 0.0267
|
||||
Mon, 19 Sep 2022 19:50:37: Epoch [24/25], Step [350/1289], Loss: 0.0332
|
||||
Mon, 19 Sep 2022 19:50:37: Epoch [24/25], Step [400/1289], Loss: 0.0096
|
||||
Mon, 19 Sep 2022 19:50:37: Epoch [24/25], Step [450/1289], Loss: 0.0250
|
||||
Mon, 19 Sep 2022 19:50:37: Epoch [24/25], Step [500/1289], Loss: 0.0109
|
||||
Mon, 19 Sep 2022 19:50:37: Epoch [24/25], Step [550/1289], Loss: 0.0508
|
||||
Mon, 19 Sep 2022 19:50:38: Epoch [24/25], Step [600/1289], Loss: 0.0540
|
||||
Mon, 19 Sep 2022 19:50:38: Epoch [24/25], Step [650/1289], Loss: 0.0621
|
||||
Mon, 19 Sep 2022 19:50:38: Epoch [24/25], Step [700/1289], Loss: 0.0146
|
||||
Mon, 19 Sep 2022 19:50:38: Epoch [24/25], Step [750/1289], Loss: 0.0946
|
||||
Mon, 19 Sep 2022 19:50:38: Epoch [24/25], Step [800/1289], Loss: 0.0203
|
||||
Mon, 19 Sep 2022 19:50:39: Epoch [24/25], Step [850/1289], Loss: 0.0350
|
||||
Mon, 19 Sep 2022 19:50:39: Epoch [24/25], Step [900/1289], Loss: 0.0326
|
||||
Mon, 19 Sep 2022 19:50:39: Epoch [24/25], Step [950/1289], Loss: 0.0254
|
||||
Mon, 19 Sep 2022 19:50:39: Epoch [24/25], Step [1000/1289], Loss: 0.0109
|
||||
Mon, 19 Sep 2022 19:50:39: Epoch [24/25], Step [1050/1289], Loss: 0.0191
|
||||
Mon, 19 Sep 2022 19:50:40: Epoch [24/25], Step [1100/1289], Loss: 0.0164
|
||||
Mon, 19 Sep 2022 19:50:40: Epoch [24/25], Step [1150/1289], Loss: 0.0276
|
||||
Mon, 19 Sep 2022 19:50:40: Epoch [24/25], Step [1200/1289], Loss: 0.0802
|
||||
Mon, 19 Sep 2022 19:50:40: Epoch [24/25], Step [1250/1289], Loss: 0.0235
|
||||
Mon, 19 Sep 2022 19:50:41: Epoch [25/25], Step [50/1289], Loss: 0.0271
|
||||
Mon, 19 Sep 2022 19:50:41: Epoch [25/25], Step [100/1289], Loss: 0.0263
|
||||
Mon, 19 Sep 2022 19:50:41: Epoch [25/25], Step [150/1289], Loss: 0.0551
|
||||
Mon, 19 Sep 2022 19:50:41: Epoch [25/25], Step [200/1289], Loss: 0.0652
|
||||
Mon, 19 Sep 2022 19:50:41: Epoch [25/25], Step [250/1289], Loss: 0.0078
|
||||
Mon, 19 Sep 2022 19:50:42: Epoch [25/25], Step [300/1289], Loss: 0.0146
|
||||
Mon, 19 Sep 2022 19:50:42: Epoch [25/25], Step [350/1289], Loss: 0.0654
|
||||
Mon, 19 Sep 2022 19:50:42: Epoch [25/25], Step [400/1289], Loss: 0.0368
|
||||
Mon, 19 Sep 2022 19:50:42: Epoch [25/25], Step [450/1289], Loss: 0.0574
|
||||
Mon, 19 Sep 2022 19:50:42: Epoch [25/25], Step [500/1289], Loss: 0.1370
|
||||
Mon, 19 Sep 2022 19:50:43: Epoch [25/25], Step [550/1289], Loss: 0.0643
|
||||
Mon, 19 Sep 2022 19:50:43: Epoch [25/25], Step [600/1289], Loss: 0.0410
|
||||
Mon, 19 Sep 2022 19:50:43: Epoch [25/25], Step [650/1289], Loss: 0.0502
|
||||
Mon, 19 Sep 2022 19:50:43: Epoch [25/25], Step [700/1289], Loss: 0.0502
|
||||
Mon, 19 Sep 2022 19:50:43: Epoch [25/25], Step [750/1289], Loss: 0.0057
|
||||
Mon, 19 Sep 2022 19:50:44: Epoch [25/25], Step [800/1289], Loss: 0.0100
|
||||
Mon, 19 Sep 2022 19:50:44: Epoch [25/25], Step [850/1289], Loss: 0.0546
|
||||
Mon, 19 Sep 2022 19:50:44: Epoch [25/25], Step [900/1289], Loss: 0.0214
|
||||
Mon, 19 Sep 2022 19:50:44: Epoch [25/25], Step [950/1289], Loss: 0.0547
|
||||
Mon, 19 Sep 2022 19:50:44: Epoch [25/25], Step [1000/1289], Loss: 0.0497
|
||||
Mon, 19 Sep 2022 19:50:45: Epoch [25/25], Step [1050/1289], Loss: 0.0381
|
||||
Mon, 19 Sep 2022 19:50:45: Epoch [25/25], Step [1100/1289], Loss: 0.0988
|
||||
Mon, 19 Sep 2022 19:50:45: Epoch [25/25], Step [1150/1289], Loss: 0.0599
|
||||
Mon, 19 Sep 2022 19:50:45: Epoch [25/25], Step [1200/1289], Loss: 0.1084
|
||||
Mon, 19 Sep 2022 19:50:45: Epoch [25/25], Step [1250/1289], Loss: 0.0505
|
||||
Mon, 19 Sep 2022 19:50:46: start testing on test dataset
|
||||
Mon, 19 Sep 2022 19:50:46: f1 :0.9576205787781351
|
||||
Mon, 19 Sep 2022 19:50:46:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9304 0.9925 0.9605 16131
|
||||
1 0.9919 0.9256 0.9576 16088
|
||||
|
||||
accuracy 0.9591 32219
|
||||
macro avg 0.9612 0.9590 0.9590 32219
|
||||
weighted avg 0.9611 0.9591 0.9590 32219
|
||||
|
||||
Mon, 19 Sep 2022 19:50:46:
|
||||
[[16010 121]
|
||||
[ 1197 14891]]
|
||||
Mon, 19 Sep 2022 19:50:46: high_num,high_true,high_false:5636,5178,458
|
||||
Mon, 19 Sep 2022 19:50:46: low_num,low_true,low_false:10452,9713,739
|
||||
29
代码/sequenceShield/cicdos2017/log/ss-RNN-cicdos2017.log
Normal file
29
代码/sequenceShield/cicdos2017/log/ss-RNN-cicdos2017.log
Normal file
@@ -0,0 +1,29 @@
|
||||
Thu, 15 Sep 2022 14:51:23: -------------
|
||||
Thu, 15 Sep 2022 14:51:23: cuda is_available:True
|
||||
Thu, 15 Sep 2022 14:51:23: model parameters - num_layers:1, sequence_len:40
|
||||
Thu, 15 Sep 2022 14:51:23: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Thu, 15 Sep 2022 14:51:23: reading csv file
|
||||
Thu, 15 Sep 2022 14:51:23: csv file alread loaded
|
||||
Thu, 15 Sep 2022 14:51:34: procols num: 31
|
||||
Thu, 15 Sep 2022 14:51:34: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Thu, 15 Sep 2022 14:52:51: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Thu, 15 Sep 2022 14:52:53: loader already prepared
|
||||
Thu, 15 Sep 2022 14:52:53: loader中(0:normal,1:high,2:low):Counter({0: 15960, 2: 10779, 1: 5480})
|
||||
Thu, 15 Sep 2022 14:52:55: start training
|
||||
Thu, 15 Sep 2022 14:54:37: start testing on test dataset
|
||||
Thu, 15 Sep 2022 14:54:37: f1 :0.9591046894149519
|
||||
Thu, 15 Sep 2022 14:54:37:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9362 0.9894 0.9621 16254
|
||||
1 0.9886 0.9313 0.9591 15965
|
||||
|
||||
accuracy 0.9606 32219
|
||||
macro avg 0.9624 0.9604 0.9606 32219
|
||||
weighted avg 0.9621 0.9606 0.9606 32219
|
||||
|
||||
Thu, 15 Sep 2022 14:54:37:
|
||||
[[16082 172]
|
||||
[ 1096 14869]]
|
||||
Thu, 15 Sep 2022 14:54:37: high_num,high_true,high_false:5416,5027,389
|
||||
Thu, 15 Sep 2022 14:54:37: low_num,low_true,low_false:10549,9842,707
|
||||
275
代码/sequenceShield/cicdos2017/run/run.py
Normal file
275
代码/sequenceShield/cicdos2017/run/run.py
Normal file
@@ -0,0 +1,275 @@
|
||||
# coding=UTF-8
|
||||
from distutils.debug import DEBUG
|
||||
from pickle import TRUE
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
import pandas as pd
|
||||
from sklearn.metrics import confusion_matrix
|
||||
from sklearn.metrics import classification_report
|
||||
from sklearn.metrics import f1_score
|
||||
from random import randint
|
||||
from torch.utils.data.sampler import WeightedRandomSampler
|
||||
from torch.utils.data.dataloader import DataLoader
|
||||
from torch.utils.data import random_split
|
||||
from torch.utils.data import TensorDataset
|
||||
import logging
|
||||
from collections import Counter
|
||||
import datetime
|
||||
|
||||
import sys
|
||||
sys.path.append("model")
|
||||
from model import LSTM,GRU,RNN
|
||||
|
||||
# 对label文件进行预处理，得到DataLoader对象
|
||||
def pre_process(path, sequence_len, train_portion, bs):
|
||||
dataset_ls = []
|
||||
protocols = []
|
||||
|
||||
logging.info("reading csv file")
|
||||
df = pd.read_csv(path)
|
||||
logging.info("csv file alread loaded")
|
||||
|
||||
# protocol使用one-hot-encoding，计算input_size
|
||||
for index, row in df.iterrows():
|
||||
dataset_ls.append(row)
|
||||
features = row[1:sequence_len]
|
||||
for i in features:
|
||||
protocol = i[1:] # 去除掉方向信息
|
||||
if protocol not in protocols:
|
||||
protocols.append(protocol)
|
||||
input_size = len(protocols)+1 # 最后一位用于编码标明方向，其余位用于onehot编码协议
|
||||
logging.info("procols num: {}".format(len(protocols)))
|
||||
logging.info("procols : {}".format(protocols))
|
||||
|
||||
data = torch.zeros([len(dataset_ls), sequence_len, input_size]) # 输入
|
||||
target = torch.zeros([len(dataset_ls)], dtype=torch.long) # 标签
|
||||
# 详细标签 normal,low,high:0,1,2
|
||||
target_detail = torch.zeros([len(dataset_ls)], dtype=torch.long)
|
||||
# 原始数据集中的数量
|
||||
dataset_high_num = 0
|
||||
dataset_low_num = 0
|
||||
dataset_normal_num = 0
|
||||
for i in range(len(dataset_ls)):
|
||||
row = dataset_ls[i]
|
||||
# 标签
|
||||
label = row[0]
|
||||
label_detail = 0
|
||||
if label == "normal":
|
||||
dataset_normal_num += 1
|
||||
label = 0
|
||||
label_detail = 0
|
||||
elif label == "high":
|
||||
dataset_high_num += 1
|
||||
label = 1
|
||||
label_detail = 1
|
||||
else:
|
||||
dataset_low_num += 1
|
||||
label = 1
|
||||
label_detail = 2
|
||||
target[i] = label
|
||||
target_detail[i] = label_detail
|
||||
# 数据
|
||||
features = row[1:sequence_len]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
# 去掉方向信息
|
||||
#direction = 1
|
||||
|
||||
feature = feature[1:]
|
||||
code_idx = protocols.index(feature)
|
||||
data[i][feature_idx][code_idx] = 1
|
||||
data[i][feature_idx][-1] = direction
|
||||
|
||||
logging.info("数据集中原本(high,low,normal)的数量:({},{},{})".format(
|
||||
dataset_high_num, dataset_low_num, dataset_normal_num))
|
||||
# 划分训练集和测试集
|
||||
train_len = int(len(data)*train_portion)
|
||||
test_len = len(data)-train_len
|
||||
dataset = TensorDataset(data, target, target_detail)
|
||||
train_dataset, test_dataset = random_split(dataset, [train_len, test_len])
|
||||
|
||||
# 测试集
|
||||
train_x_ls = []
|
||||
train_y_ls = []
|
||||
for (x, y, y_detail) in train_dataset:
|
||||
train_x_ls.append(x)
|
||||
train_y_ls.append(y)
|
||||
# 采样
|
||||
train_y = torch.tensor(train_y_ls, dtype=torch.long)
|
||||
# Compute samples weight (each sample should get its own weight)
|
||||
class_sample_count = torch.tensor(
|
||||
[(train_y == t).sum() for t in torch.unique(train_y, sorted=True)])
|
||||
weight = 1. / class_sample_count.float()
|
||||
samples_weight = torch.tensor([weight[y] for y in train_y])
|
||||
# Create sampler, dataset, loader
|
||||
train_sampler = WeightedRandomSampler(samples_weight, len(samples_weight))
|
||||
train_loader = DataLoader(
|
||||
train_dataset, batch_size=bs, num_workers=0, sampler=train_sampler)
|
||||
|
||||
# 测试集
|
||||
test_x_ls = []
|
||||
test_y_ls = []
|
||||
for (x, y, y_detail) in test_dataset:
|
||||
test_x_ls.append(x)
|
||||
test_y_ls.append(y)
|
||||
# 采样
|
||||
test_y = torch.tensor(test_y_ls, dtype=torch.long)
|
||||
# Compute samples weight (each sample should get its own weight)
|
||||
class_sample_count = torch.tensor(
|
||||
[(test_y == t).sum() for t in torch.unique(test_y, sorted=True)])
|
||||
weight = 1. / class_sample_count.float()
|
||||
samples_weight = torch.tensor([weight[y] for y in test_y])
|
||||
# Create sampler, dataset, loader
|
||||
test_sampler = WeightedRandomSampler(samples_weight, len(samples_weight))
|
||||
test_loader = DataLoader(test_dataset, batch_size=bs,
|
||||
num_workers=0, sampler=test_sampler)
|
||||
|
||||
return train_loader, test_loader, input_size
|
||||
|
||||
|
||||
LOG_FORMAT = "%(asctime)s: %(message)s"
|
||||
logging.basicConfig(filename="./cicdos2017/log/ss-GRU-cicdos2017_1_1.log", level=logging.DEBUG,
|
||||
format=LOG_FORMAT, datefmt='%a, %d %b %Y %H:%M:%S', filemode="w")
|
||||
logging.info("-------------")
|
||||
|
||||
# Device configuration
|
||||
logging.info("cuda is_available:{}".format(torch.cuda.is_available()))
|
||||
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
||||
|
||||
dataset_path = "./cicdos2017/label/label.csv"
|
||||
dataset_test_path = "./cicdos2017/label/label_test.csv"
|
||||
|
||||
|
||||
# Hyper-parameters
|
||||
sequence_length = 40
|
||||
hidden_size = 128
|
||||
num_layers = 1
|
||||
num_classes = 2
|
||||
batch_size = 100
|
||||
num_epochs = 25
|
||||
learning_rate = 0.001
|
||||
train_portion = 0.8
|
||||
# 打印参数
|
||||
logging.info("model parameters - num_layers:{}, sequence_len:{}".format(num_layers,sequence_length))
|
||||
logging.info("parameters - batch_size:{}, num_epochs:{}, learning_rage:{}".format(
|
||||
batch_size, num_epochs, learning_rate))
|
||||
|
||||
train_loader, test_loader, input_size = pre_process(
|
||||
dataset_path, sequence_len=sequence_length, train_portion=train_portion, bs=batch_size)
|
||||
logging.info("loader already prepared")
|
||||
|
||||
# 检查测试数据集中high,low的数量
|
||||
loader_high_num = 0
|
||||
loader_low_num = 0
|
||||
label_detail_ls = []
|
||||
for images, labels, labels_detail in test_loader:
|
||||
label_detail_ls.extend(labels_detail.data.tolist())
|
||||
|
||||
logging.info("loader中(0:normal,1:high,2:low):{}".format(
|
||||
Counter(label_detail_ls)))
|
||||
|
||||
|
||||
#model = RNN(input_size, hidden_size, num_layers, num_classes,device=device).to(device)
|
||||
#model = LSTM(input_size, hidden_size, num_layers, num_classes,device=device).to(device)
|
||||
model = GRU(input_size, hidden_size, num_layers, num_classes,device=device).to(device)
|
||||
|
||||
# Loss and optimizer
|
||||
criterion = nn.CrossEntropyLoss().to(device)
|
||||
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
|
||||
|
||||
start_time = datetime.datetime.now()
|
||||
# Train the model
|
||||
logging.info("start training")
|
||||
total_step = len(train_loader)
|
||||
for epoch in range(num_epochs):
|
||||
for i, (images, labels, labels_detail) in enumerate(train_loader):
|
||||
# 函数用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，同时列出数据和数据下标
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
|
||||
# Forward pass
|
||||
outputs = model(images)
|
||||
loss = criterion(outputs, labels.long())
|
||||
|
||||
# Backward and optimize
|
||||
optimizer.zero_grad()
|
||||
loss.backward()
|
||||
optimizer.step()
|
||||
|
||||
# 每10个step/iteration输出一次
|
||||
if (i+1) % 50 == 0:
|
||||
logging.info('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
|
||||
.format(epoch+1, num_epochs, i+1, total_step, loss.item()))
|
||||
|
||||
end_time = datetime.datetime.now()
|
||||
#print((end_time-start_time).total_seconds())
|
||||
|
||||
# Test the model
|
||||
logging.info("start testing on test dataset")
|
||||
model.eval()
|
||||
start_time = datetime.datetime.now()
|
||||
with torch.no_grad():
|
||||
pred_list = []
|
||||
label_list = []
|
||||
label_detail_list = []
|
||||
correct = 0
|
||||
total = 0
|
||||
for images, labels, labels_detail in test_loader:
|
||||
total += len(labels)
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
outputs = model(images)
|
||||
_, predicted = torch.max(outputs.data, 1)
|
||||
pred_temp = predicted.data.tolist()
|
||||
label_temp = labels.data.tolist()
|
||||
label_detail_tmp = labels_detail.data.tolist()
|
||||
pred_list.extend(pred_temp)
|
||||
label_list.extend(label_temp)
|
||||
label_detail_list.extend(label_detail_tmp)
|
||||
f1 = f1_score(label_list, pred_list)
|
||||
logging.info("f1 :{}".format(f1))
|
||||
logging.info("\n{}".format(classification_report(
|
||||
label_list, pred_list, digits=4)))
|
||||
logging.info("\n{}".format(confusion_matrix(label_list, pred_list)))
|
||||
|
||||
# 时间消耗
|
||||
end_time = datetime.datetime.now()
|
||||
print("train_time".format((end_time-start_time).total_seconds()))
|
||||
print("train_packet_num:{}".format(total * sequence_length))
|
||||
|
||||
# 检查high
|
||||
high_num = 0
|
||||
high_true = 0
|
||||
high_false = 0
|
||||
low_num = 0
|
||||
low_true = 0
|
||||
low_false = 0
|
||||
for index, i in enumerate(label_detail_list):
|
||||
if i == 1:
|
||||
# high ddos
|
||||
high_num += 1
|
||||
if pred_list[index] == 1:
|
||||
high_true += 1
|
||||
else:
|
||||
high_false += 1
|
||||
elif i == 2:
|
||||
# low ddos
|
||||
low_num += 1
|
||||
if pred_list[index] == 1:
|
||||
low_true += 1
|
||||
else:
|
||||
low_false += 1
|
||||
else:
|
||||
# normal
|
||||
continue
|
||||
|
||||
logging.info("high_num,high_true,high_false:{},{},{}".format(
|
||||
high_num, high_true, high_false))
|
||||
logging.info("low_num,low_true,low_false:{},{},{}".format(
|
||||
low_num, low_true, low_false))
|
||||
|
||||
# Save the model checkpoint
|
||||
# torch.save(model.state_dict(), './cicdos2017/model/model.ckpt')
|
||||
33
代码/sequenceShield/cicdos2017/script/merge.py
Normal file
33
代码/sequenceShield/cicdos2017/script/merge.py
Normal file
@@ -0,0 +1,33 @@
|
||||
'''
|
||||
Data:2017-07-13
|
||||
Auther;JXNU Kerwin
|
||||
Description:使用Pandas拼接多个CSV文件到一个文件（即合并）
|
||||
'''
|
||||
import pandas as pd
|
||||
import os
|
||||
# 要拼接的文件夹及其完整路径，注意不要包含中文
|
||||
Folder_Path = "/home/dengzeyi/coding/sequence_dos/cicids2017/input"
|
||||
SaveFile_Path = "/home/dengzeyi/coding/sequence_dos/cicids2017/input" # 拼接后要保存的文件路径
|
||||
SaveFile_Name = "cicids-label.csv" # 合并后要保存的文件名
|
||||
|
||||
# 修改当前工作目录
|
||||
os.chdir(Folder_Path)
|
||||
# 将该文件夹下的所有文件名存入一个列表
|
||||
file_list = os.listdir()
|
||||
|
||||
# 排序
|
||||
file_list.sort()
|
||||
|
||||
# 读取第一个CSV文件并包含表头
|
||||
print(file_list[0])
|
||||
df = pd.read_csv(Folder_Path + '/' + file_list[0]) # 编码默认UTF-8，若乱码自行更改
|
||||
|
||||
# 将读取的第一个CSV文件写入合并后的文件保存
|
||||
df.to_csv(SaveFile_Path+'/' + SaveFile_Name, encoding="utf_8", index=False)
|
||||
|
||||
# 循环遍历列表中各个CSV文件名，并追加到合并后的文件
|
||||
for i in range(1, len(file_list)):
|
||||
print(file_list[i])
|
||||
df = pd.read_csv(Folder_Path + '/' + file_list[i])
|
||||
df.to_csv(SaveFile_Path+'/' + SaveFile_Name, encoding="utf_8",
|
||||
index=False, header=False, mode='a+')
|
||||
149
代码/sequenceShield/cicdos2017/script/parse_file.py
Normal file
149
代码/sequenceShield/cicdos2017/script/parse_file.py
Normal file
@@ -0,0 +1,149 @@
|
||||
import pandas as pd
|
||||
import os
|
||||
from sklearn import tree
|
||||
from sklearn.metrics import classification_report
|
||||
from sklearn.metrics import roc_curve, auc, roc_auc_score
|
||||
from sklearn.ensemble import RandomForestClassifier
|
||||
from sklearn.ensemble import GradientBoostingClassifier
|
||||
from sklearn.naive_bayes import BernoulliNB
|
||||
from sklearn.naive_bayes import GaussianNB
|
||||
from sklearn.neighbors import KNeighborsClassifier as kNN
|
||||
from sklearn.metrics import confusion_matrix
|
||||
from pandas.core.frame import DataFrame
|
||||
import datetime
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
import joblib
|
||||
from sklearn.model_selection import train_test_split
|
||||
|
||||
|
||||
wireshark_csv_path = "cicdos2017/dataset/cicdos2017_from_wireshark.csv"
|
||||
meta_csv_path = "cicdos2017/dataset/meta.csv"
|
||||
flow = {}
|
||||
feature_latitude = 40 + 3 # 前三个元素记录了packet类型的数量[high,low,normal]
|
||||
feature_ls = []
|
||||
|
||||
# attacks.txt
|
||||
attack_info = []
|
||||
attack_info_path = "cicdos2017/dataset/attacks.txt"
|
||||
|
||||
|
||||
def get_attack_info(file_path):
|
||||
with open(file_path) as f:
|
||||
line_list = f.readlines()
|
||||
for line in line_list:
|
||||
if line == "":
|
||||
break
|
||||
ls = line.split()
|
||||
label = ls[0]
|
||||
dstIP = ls[2]
|
||||
time = int(ls[5])*60 # s
|
||||
attack_info.append([label, dstIP, time])
|
||||
|
||||
|
||||
def get_label(srcIP, dstIP, time, num_ls) -> str:
|
||||
label = "normal"
|
||||
for i in range(len(attack_info)):
|
||||
if i == len(attack_info)-1:
|
||||
# last one
|
||||
if time >= attack_info[i][2] and (srcIP == attack_info[i][1] or dstIP == attack_info[i][1]):
|
||||
label = attack_info[i][0]
|
||||
else:
|
||||
if time >= attack_info[i][2] and time < attack_info[i+1][2] and (srcIP == attack_info[i][1] or dstIP == attack_info[i][1]):
|
||||
label = attack_info[i][0]
|
||||
|
||||
# low ddos packet
|
||||
if label == "slowread" or label == "slowheaders" or label == "slowbody2" or label == "rudy" or label == "slowloris":
|
||||
num_ls[1] += 1
|
||||
label = "low"
|
||||
# normal packet
|
||||
elif label == "normal":
|
||||
num_ls[2] += 1
|
||||
else:
|
||||
num_ls[0] += 1 # high ddos packet
|
||||
label = "high"
|
||||
return label
|
||||
|
||||
|
||||
def pre_process(wireshark_csv_path,meta_csv_path):
|
||||
# packet type [high,low,normal]
|
||||
packet_num_ls = [0, 0, 0]
|
||||
df = pd.read_csv(wireshark_csv_path)
|
||||
for index, row in df.iterrows():
|
||||
if index % 20000 == 0:
|
||||
print(index)
|
||||
srcIP = row["Source"]
|
||||
dstIP = row["Destination"]
|
||||
time = row["Time"] # s
|
||||
protocol = row["Protocol"]
|
||||
length = row["Length"]
|
||||
# get label
|
||||
label = get_label(srcIP, dstIP, time, packet_num_ls)
|
||||
# get packet type
|
||||
|
||||
# key
|
||||
key = srcIP+dstIP
|
||||
reverse_key = dstIP+srcIP
|
||||
|
||||
if not flow.__contains__(key) and not flow.__contains__(reverse_key):
|
||||
# 创建一个flow
|
||||
flow[key] = [0,0,0, "-"+protocol]
|
||||
if label =="high":
|
||||
flow[key][0]=1
|
||||
elif label == "low":
|
||||
flow[key][1]=1
|
||||
else:
|
||||
flow[key][2]=1
|
||||
elif flow.__contains__(key):
|
||||
# key添加到flow里面
|
||||
if len(flow[key]) >= feature_latitude:
|
||||
feature_ls.append(flow.pop(key))
|
||||
flow[key] = [0,0,0, "-"+protocol]
|
||||
if label =="high":
|
||||
flow[key][0]=1
|
||||
elif label == "low":
|
||||
flow[key][1]=1
|
||||
else:
|
||||
flow[key][2]=1
|
||||
flow[key].append("-"+protocol)
|
||||
# 更新type数量
|
||||
if label =="high":
|
||||
flow[key][0]+=1
|
||||
elif label == "low":
|
||||
flow[key][1]+=1
|
||||
else:
|
||||
flow[key][2]+=1
|
||||
else:
|
||||
# reverse key
|
||||
if len(flow[reverse_key]) >= feature_latitude:
|
||||
feature_ls.append(flow.pop(reverse_key))
|
||||
flow[reverse_key] = [0,0,0, "+"+protocol]
|
||||
if label =="high":
|
||||
flow[reverse_key][0]=1
|
||||
elif label == "low":
|
||||
flow[reverse_key][1]=1
|
||||
else:
|
||||
flow[reverse_key][2]=1
|
||||
flow[reverse_key].append("+"+protocol)
|
||||
# 更新type数量
|
||||
if label =="high":
|
||||
flow[reverse_key][0]+=1
|
||||
elif label == "low":
|
||||
flow[reverse_key][1]+=1
|
||||
else:
|
||||
flow[reverse_key][2]+=1
|
||||
|
||||
print("数据包type统计:[high,low,normal]")
|
||||
print(packet_num_ls)
|
||||
print("--------------------")
|
||||
print("字典中剩余个数：%d" % (len(flow)))
|
||||
# write to csv file
|
||||
total_data = pd.DataFrame(data=feature_ls)
|
||||
# print(total_data)
|
||||
total_data.to_csv(meta_csv_path, index=False,
|
||||
encoding="utf-8", sep=',', mode='w', header=True)
|
||||
return
|
||||
|
||||
|
||||
get_attack_info(attack_info_path)
|
||||
pre_process(wireshark_csv_path,meta_csv_path)
|
||||
51
代码/sequenceShield/cicdos2017/script/parse_meta.py
Normal file
51
代码/sequenceShield/cicdos2017/script/parse_meta.py
Normal file
@@ -0,0 +1,51 @@
|
||||
import pandas as pd
|
||||
|
||||
# 将meta文件转换为模型可以直接使用的label文件
|
||||
meta_csv_path = "cicdos2017/dataset/meta.csv"
|
||||
label_csv_path = "cicdos2017/label/label.csv"
|
||||
|
||||
df = pd.read_csv(meta_csv_path)
|
||||
mixed_row_num =0
|
||||
high_row_num = 0
|
||||
low_row_num = 0
|
||||
normal_row_num =0
|
||||
|
||||
label_ls =[]
|
||||
for index, row in df.iterrows():
|
||||
if index % 20000 == 0:
|
||||
print("processing index:",index)
|
||||
high_num = int(row[0])
|
||||
low_num = int(row[1])
|
||||
normal_num = int(row[2])
|
||||
|
||||
features = row[3:43]
|
||||
|
||||
label = "normal"
|
||||
if low_num==0 and normal_num==0:
|
||||
label = "high"
|
||||
high_row_num +=1
|
||||
elif high_num==0 and normal_num==0:
|
||||
label = "low"
|
||||
low_row_num+=1
|
||||
elif high_num==0 and low_num==0:
|
||||
label = "normal"
|
||||
normal_row_num+=1
|
||||
else:
|
||||
mixed_row_num+=1
|
||||
#print("high,low,normal:",high_num,low_num,normal_num)
|
||||
continue #混合的row直接丢弃
|
||||
label_row =[label]
|
||||
label_row.extend(features)
|
||||
label_ls.append(label_row)
|
||||
|
||||
print("mix row num:",mixed_row_num)
|
||||
print("high row num:",high_row_num)
|
||||
print("low row num:",low_row_num)
|
||||
print("normal row num:",normal_row_num)
|
||||
|
||||
|
||||
# write to csv file
|
||||
data = pd.DataFrame(data=label_ls)
|
||||
# print(total_data)
|
||||
data.to_csv(label_csv_path, index=False,
|
||||
encoding="utf-8", sep=',', mode='w', header=True)
|
||||
329
代码/sequenceShield/cicids2017/model/myrnn.py
Normal file
329
代码/sequenceShield/cicids2017/model/myrnn.py
Normal file
@@ -0,0 +1,329 @@
|
||||
# coding=UTF-8
|
||||
from distutils.debug import DEBUG
|
||||
from operator import mod
|
||||
from pickle import TRUE
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
import torchvision.transforms as transforms
|
||||
import torch.utils.data as Data
|
||||
import pandas as pd
|
||||
from sklearn.metrics import confusion_matrix
|
||||
from sklearn.metrics import classification_report
|
||||
from sklearn.metrics import f1_score
|
||||
import pickle
|
||||
from random import randint
|
||||
import os
|
||||
|
||||
import logging
|
||||
LOG_FORMAT = "%(message)s"
|
||||
logging.basicConfig(filename="./cicids2017/log/log.txt", level=logging.DEBUG,
|
||||
format=LOG_FORMAT, filemode="a")
|
||||
logging.info("-------------\n")
|
||||
|
||||
# Device configuration
|
||||
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
||||
|
||||
|
||||
class MyDataSet(Data.Dataset):
|
||||
def parse_data(self, path):
|
||||
dataset_ls = []
|
||||
protocols = []
|
||||
df = pd.read_csv(path)
|
||||
# 编码
|
||||
for index, row in df.iterrows():
|
||||
dataset_ls.append(row)
|
||||
features = row["1":"41"]
|
||||
for i in features:
|
||||
protocol = i[1:] # 去除掉方向信息
|
||||
if protocol not in protocols:
|
||||
protocols.append(protocol)
|
||||
self.input_size = len(protocols)+1 # 最后一位用于编码标明方向，其余位用于onehot编码协议
|
||||
|
||||
one_hot_code = nn.functional.one_hot(
|
||||
torch.tensor(range(len(protocols)))).to(torch.int8)
|
||||
|
||||
# 划分训练、测试数据集
|
||||
train_len = int(self.train_portion * len(dataset_ls))
|
||||
test_len = len(dataset_ls) - train_len
|
||||
train_dataset, test_dataset = torch.utils.data.random_split(
|
||||
dataset_ls, [train_len, test_len])
|
||||
|
||||
# 训练集
|
||||
train_dataset_ls = list(train_dataset)
|
||||
train_labels_true_num = 0
|
||||
train_labels_false_num = 0
|
||||
# 采样
|
||||
train_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(train_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels_true_num += 1
|
||||
train_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 2) <= 1:
|
||||
train_dataset_sample_ls.append(row)
|
||||
train_labels_false_num += 1
|
||||
train_sample_len = train_labels_false_num+train_labels_true_num
|
||||
train_inputs = torch.zeros(
|
||||
train_sample_len, self.sequence_len, self.input_size)
|
||||
train_labels = torch.zeros(train_sample_len)
|
||||
for row_idx, row in enumerate(train_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels[row_idx] = 1
|
||||
else:
|
||||
train_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
train_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
train_inputs[row_idx][feature_idx][-1] = direction
|
||||
# 把训练集打印到文件
|
||||
|
||||
# 测试集
|
||||
test_dataset_ls = list(test_dataset)
|
||||
test_labels_true_num = 0
|
||||
test_labels_false_num = 0
|
||||
# 采样
|
||||
test_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(test_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels_true_num += 1
|
||||
test_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 2) <= 1:
|
||||
test_dataset_sample_ls.append(row)
|
||||
test_labels_false_num += 1
|
||||
test_sample_len = test_labels_true_num+test_labels_false_num
|
||||
test_inputs = torch.zeros(
|
||||
test_sample_len, self.sequence_len, self.input_size)
|
||||
test_labels = torch.zeros(test_sample_len)
|
||||
for row_idx, row in enumerate(test_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels[row_idx] = 1
|
||||
else:
|
||||
test_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
test_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
test_inputs[row_idx][feature_idx][-1] = direction
|
||||
|
||||
logging.info("train_labels_true_num:%d" % (train_labels_true_num))
|
||||
logging.info("train_labels_false_num:%d" % (train_labels_false_num))
|
||||
logging.info("test_labels_true_num:%d" % (test_labels_true_num))
|
||||
logging.info("test_labels_false_num:%d" % (test_labels_false_num))
|
||||
|
||||
return train_inputs, train_labels, test_inputs, test_labels
|
||||
|
||||
def __init__(self, path, seq_len, mode='train', train_portion=0.8):
|
||||
# 需要把数据rawdata全部转换成tensor
|
||||
self.train_portion = train_portion
|
||||
self.mode = mode
|
||||
self.sequence_len = seq_len
|
||||
self.input_size = 0
|
||||
self.train_inputs, self.train_labels, self.test_inputs, self.test_labels = self.parse_data(
|
||||
path)
|
||||
|
||||
def __len__(self):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs.size(0)
|
||||
else:
|
||||
return self.test_inputs.size(0)
|
||||
|
||||
def __getitem__(self, idx):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs[idx], self.train_labels[idx]
|
||||
else:
|
||||
return self.test_inputs[idx], self.test_labels[idx]
|
||||
# Recurrent neural network (many-to-one)
|
||||
|
||||
|
||||
class LSTM(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(LSTM, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.lstm = nn.LSTM(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, hidden_size),
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, 100),
|
||||
nn.ReLU(),
|
||||
nn.Linear(100, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
c0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.lstm(x, (h0, c0))
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class GRU(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(GRU, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.gru = nn.GRU(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, num_classes))
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.gru(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class RNN(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(RNN, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.rnn = nn.RNN(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, hidden_size),
|
||||
nn.ReLU,
|
||||
nn.Linear(hidden_size, 50),
|
||||
nn.ReLU,
|
||||
nn.Linear(50, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.rnn(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
# Hyper-parameters
|
||||
sequence_length = 41
|
||||
dataset_obj_path = "./cicids2017/model/dataset.pkl"
|
||||
if os.path.isfile(dataset_obj_path):
|
||||
# read dataset
|
||||
fileobj = open(dataset_obj_path, 'rb')
|
||||
dataset = pickle.load(fileobj)
|
||||
fileobj.close()
|
||||
else:
|
||||
# dataset
|
||||
dataset_path = "cicids2017/input/cicids-label.csv"
|
||||
dataset = MyDataSet(path=dataset_path, seq_len=sequence_length,
|
||||
mode='train', train_portion=0.8)
|
||||
# 保存dataset到文件
|
||||
output_hal = open(dataset_obj_path, 'wb')
|
||||
str = pickle.dumps(dataset)
|
||||
output_hal.write(str)
|
||||
output_hal.close()
|
||||
|
||||
input_size = dataset.input_size
|
||||
hidden_size = 128
|
||||
num_layers = 2
|
||||
num_classes = 2
|
||||
batch_size = 100
|
||||
num_epochs = 100
|
||||
learning_rate = 0.001
|
||||
|
||||
model = LSTM(input_size, hidden_size, num_layers, num_classes).to(device)
|
||||
|
||||
|
||||
# sampler
|
||||
# Loss and optimizer
|
||||
criterion = nn.CrossEntropyLoss()
|
||||
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
|
||||
|
||||
# loader
|
||||
loader = Data.DataLoader(dataset, batch_size=batch_size, shuffle=True)
|
||||
# Train the model
|
||||
total_step = len(loader)
|
||||
for epoch in range(num_epochs):
|
||||
for i, (images, labels) in enumerate(loader):
|
||||
# 函数用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，同时列出数据和数据下标
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
|
||||
# Forward pass
|
||||
outputs = model(images)
|
||||
loss = criterion(outputs, labels.long())
|
||||
|
||||
# Backward and optimize
|
||||
optimizer.zero_grad()
|
||||
loss.backward()
|
||||
optimizer.step()
|
||||
|
||||
# 每10个step/iteration输出一次
|
||||
if (i+1) % 100 == 0:
|
||||
logging.info('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
|
||||
.format(epoch+1, num_epochs, i+1, total_step, loss.item()))
|
||||
|
||||
# Test the model
|
||||
dataset.mode = "test"
|
||||
test_loader = Data.DataLoader(dataset, batch_size=batch_size, shuffle=True)
|
||||
model.eval()
|
||||
with torch.no_grad():
|
||||
pred_list = []
|
||||
label_list = []
|
||||
correct = 0
|
||||
total = 0
|
||||
for images, labels in loader:
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
outputs = model(images)
|
||||
_, predicted = torch.max(outputs.data, 1)
|
||||
pred_temp = predicted.data.tolist()
|
||||
label_temp = labels.data.tolist()
|
||||
pred_list.extend(pred_temp)
|
||||
label_list.extend(label_temp)
|
||||
f1 = f1_score(label_list, pred_list)
|
||||
logging.info("f1 :{}".format(f1))
|
||||
logging.info(classification_report(label_list, pred_list, digits=4))
|
||||
logging.info(confusion_matrix(label_list, pred_list))
|
||||
|
||||
# 打印参数
|
||||
logging.info("parameters: batch_size:{}, num_epochs:{}, learning_rage:{}".format(
|
||||
batch_size, num_epochs, learning_rate))
|
||||
# Save the model checkpoint
|
||||
torch.save(model.state_dict(), './myrnn/model.ckpt')
|
||||
103
代码/sequenceShield/cicids2017/parse_file.py
Normal file
103
代码/sequenceShield/cicids2017/parse_file.py
Normal file
@@ -0,0 +1,103 @@
|
||||
import pandas as pd
|
||||
import os
|
||||
from sklearn.metrics import classification_report
|
||||
from sklearn.metrics import roc_curve, auc, roc_auc_score
|
||||
|
||||
|
||||
from sklearn.metrics import confusion_matrix
|
||||
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
|
||||
|
||||
packet_path = "cicids2017/friday-dos.csv"
|
||||
packet_label_path = "cicids2017/friday-dos-label.csv"
|
||||
|
||||
flow = {}
|
||||
feature_latitude = 40 + 1 # 第一个元素是label
|
||||
feature_ls = []
|
||||
|
||||
|
||||
def wed_get_label(srcIP, dstIP, time):
|
||||
# for wednesday
|
||||
if time >= 9*60+47 and time <= 10*60+10:
|
||||
if (srcIP == "172.16.0.1" and dstIP == "192.168.10.50") or (dstIP == "172.16.0.1" and srcIP == "192.168.10.50"):
|
||||
return True
|
||||
if time >= 10*60+14 and time <= 10*60+35:
|
||||
if (srcIP == "172.16.0.1" and dstIP == "192.168.10.50") or (dstIP == "172.16.0.1" and srcIP == "192.168.10.50"):
|
||||
return True
|
||||
if time >= 10*60+43 and time <= 11*60+0:
|
||||
if (srcIP == "172.16.0.1" and dstIP == "192.168.10.50") or (dstIP == "172.16.0.1" and srcIP == "192.168.10.50"):
|
||||
return True
|
||||
if time >= 11*60+10 and time <= 11*60+23:
|
||||
if (srcIP == "172.16.0.1" and dstIP == "192.168.10.50") or (dstIP == "172.16.0.1" and srcIP == "192.168.10.50"):
|
||||
return True
|
||||
return False
|
||||
|
||||
def fri_get_label(srcIP, dstIP, time):
|
||||
# for friday
|
||||
if time >= 15*60+56 and time <= 16*60+16:
|
||||
if (srcIP == "172.16.0.1" and dstIP == "192.168.10.50") or (dstIP == "172.16.0.1" and srcIP == "192.168.10.50"):
|
||||
return True
|
||||
return False
|
||||
|
||||
def pre_process(input_path, output_path):
|
||||
time_diff = 0 # s
|
||||
df = pd.read_csv(input_path)
|
||||
for index, row in df.iterrows():
|
||||
if index % 20000 == 0:
|
||||
print(index)
|
||||
srcIP = row["Source"]
|
||||
dstIP = row["Destination"]
|
||||
time = row["Time"]
|
||||
time = time.split(" ")[-1]
|
||||
hour = int(time.split(":")[0])
|
||||
min = int(time.split(":")[1])
|
||||
time = hour * 60+min
|
||||
protocol = row["Protocol"]
|
||||
length = row["Length"]
|
||||
# get label
|
||||
label = fri_get_label(srcIP, dstIP, time)
|
||||
# key
|
||||
key = srcIP+dstIP
|
||||
reverse_key = dstIP+srcIP
|
||||
|
||||
if not flow.__contains__(key) and not flow.__contains__(reverse_key):
|
||||
# 创建一个flow
|
||||
flow[key] = [label, "-"+protocol]
|
||||
elif flow.__contains__(key):
|
||||
# key添加到flow里面
|
||||
if len(flow[key]) > feature_latitude:
|
||||
feature_ls.append(flow.pop(key))
|
||||
flow[key] = [label, "-"+protocol]
|
||||
flow[key].append("-"+protocol)
|
||||
# 只要有一个包是True，那么整个都是True
|
||||
flow[key][0] = flow[key][0] or label
|
||||
else:
|
||||
# reverse key
|
||||
if len(flow[reverse_key]) > feature_latitude:
|
||||
feature_ls.append(flow.pop(reverse_key))
|
||||
flow[reverse_key] = [label, "+"+protocol]
|
||||
flow[reverse_key].append("+"+protocol)
|
||||
# 只要有一个包是True，那么整个都是True
|
||||
flow[reverse_key][0] = flow[reverse_key][0] or label
|
||||
|
||||
print("字典中剩余个数：%d" % (len(flow)))
|
||||
true_num = 0
|
||||
false_num = 0
|
||||
for k, v in flow.items():
|
||||
if v[0] == True:
|
||||
true_num += 1
|
||||
else:
|
||||
false_num += 1
|
||||
print("true num:%d" % (true_num))
|
||||
print("false num:%d" % (false_num))
|
||||
# write to csv file
|
||||
total_data = pd.DataFrame(data=feature_ls)
|
||||
# print(total_data)
|
||||
total_data.to_csv(output_path, index=False,
|
||||
encoding="utf-8", sep=',', mode='w', header=True)
|
||||
return
|
||||
|
||||
|
||||
pre_process(packet_path, packet_label_path)
|
||||
13
代码/sequenceShield/cicids2017/test/test.py
Normal file
13
代码/sequenceShield/cicids2017/test/test.py
Normal file
@@ -0,0 +1,13 @@
|
||||
import pandas as pd
|
||||
input_file = "cicids2017/input/cicids-label.csv"
|
||||
df = pd.read_csv(input_file)
|
||||
true_num = 0
|
||||
false_num = 0
|
||||
for index, row in df.iterrows():
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
true_num += 1
|
||||
else:
|
||||
false_num += 1
|
||||
print(true_num)
|
||||
print(false_num)
|
||||
331
代码/sequenceShield/cicids2017/消融实验/myrnn.py
Normal file
331
代码/sequenceShield/cicids2017/消融实验/myrnn.py
Normal file
@@ -0,0 +1,331 @@
|
||||
# coding=UTF-8
|
||||
from distutils.debug import DEBUG
|
||||
from operator import mod
|
||||
from pickle import TRUE
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
import torchvision.transforms as transforms
|
||||
import torch.utils.data as Data
|
||||
import pandas as pd
|
||||
from sklearn.metrics import confusion_matrix
|
||||
from sklearn.metrics import classification_report
|
||||
from sklearn.metrics import f1_score
|
||||
import pickle
|
||||
from random import randint
|
||||
import os
|
||||
|
||||
import logging
|
||||
LOG_FORMAT = "%(message)s"
|
||||
logging.basicConfig(filename="./cicids2017/log/消融实验log.txt", level=logging.DEBUG,
|
||||
format=LOG_FORMAT, filemode="a")
|
||||
logging.info("-------------\n消融实验\n")
|
||||
|
||||
# Device configuration
|
||||
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
||||
|
||||
|
||||
class MyDataSet(Data.Dataset):
|
||||
def parse_data(self, path):
|
||||
dataset_ls = []
|
||||
protocols = []
|
||||
df = pd.read_csv(path)
|
||||
# 编码
|
||||
for index, row in df.iterrows():
|
||||
dataset_ls.append(row)
|
||||
features = row["1":"41"]
|
||||
for i in features:
|
||||
protocol = i[1:] # 去除掉方向信息
|
||||
if protocol not in protocols:
|
||||
protocols.append(protocol)
|
||||
self.input_size = len(protocols)+1 # 最后一位用于编码标明方向，其余位用于onehot编码协议
|
||||
|
||||
one_hot_code = nn.functional.one_hot(
|
||||
torch.tensor(range(len(protocols)))).to(torch.int8)
|
||||
|
||||
# 划分训练、测试数据集
|
||||
train_len = int(self.train_portion * len(dataset_ls))
|
||||
test_len = len(dataset_ls) - train_len
|
||||
train_dataset, test_dataset = torch.utils.data.random_split(
|
||||
dataset_ls, [train_len, test_len])
|
||||
|
||||
# 训练集
|
||||
train_dataset_ls = list(train_dataset)
|
||||
train_labels_true_num = 0
|
||||
train_labels_false_num = 0
|
||||
# 采样
|
||||
train_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(train_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels_true_num += 1
|
||||
train_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 2) <= 1:
|
||||
train_dataset_sample_ls.append(row)
|
||||
train_labels_false_num += 1
|
||||
train_sample_len = train_labels_false_num+train_labels_true_num
|
||||
train_inputs = torch.zeros(
|
||||
train_sample_len, self.sequence_len, self.input_size)
|
||||
train_labels = torch.zeros(train_sample_len)
|
||||
for row_idx, row in enumerate(train_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels[row_idx] = 1
|
||||
else:
|
||||
train_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
train_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
# 消融实验不需要方向
|
||||
train_inputs[row_idx][feature_idx][-1] = 0
|
||||
# 把训练集打印到文件
|
||||
|
||||
# 测试集
|
||||
test_dataset_ls = list(test_dataset)
|
||||
test_labels_true_num = 0
|
||||
test_labels_false_num = 0
|
||||
# 采样
|
||||
test_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(test_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels_true_num += 1
|
||||
test_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 2) <= 1:
|
||||
test_dataset_sample_ls.append(row)
|
||||
test_labels_false_num += 1
|
||||
test_sample_len = test_labels_true_num+test_labels_false_num
|
||||
test_inputs = torch.zeros(
|
||||
test_sample_len, self.sequence_len, self.input_size)
|
||||
test_labels = torch.zeros(test_sample_len)
|
||||
for row_idx, row in enumerate(test_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels[row_idx] = 1
|
||||
else:
|
||||
test_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
test_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
# 消融实验不需要方向
|
||||
test_inputs[row_idx][feature_idx][-1] = 0
|
||||
|
||||
logging.info("train_labels_true_num:%d" % (train_labels_true_num))
|
||||
logging.info("train_labels_false_num:%d" % (train_labels_false_num))
|
||||
logging.info("test_labels_true_num:%d" % (test_labels_true_num))
|
||||
logging.info("test_labels_false_num:%d" % (test_labels_false_num))
|
||||
|
||||
return train_inputs, train_labels, test_inputs, test_labels
|
||||
|
||||
def __init__(self, path, seq_len, mode='train', train_portion=0.8):
|
||||
# 需要把数据rawdata全部转换成tensor
|
||||
self.train_portion = train_portion
|
||||
self.mode = mode
|
||||
self.sequence_len = seq_len
|
||||
self.input_size = 0
|
||||
self.train_inputs, self.train_labels, self.test_inputs, self.test_labels = self.parse_data(
|
||||
path)
|
||||
|
||||
def __len__(self):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs.size(0)
|
||||
else:
|
||||
return self.test_inputs.size(0)
|
||||
|
||||
def __getitem__(self, idx):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs[idx], self.train_labels[idx]
|
||||
else:
|
||||
return self.test_inputs[idx], self.test_labels[idx]
|
||||
# Recurrent neural network (many-to-one)
|
||||
|
||||
|
||||
class LSTM(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(LSTM, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.lstm = nn.LSTM(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, hidden_size),
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, 100),
|
||||
nn.ReLU(),
|
||||
nn.Linear(100, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
c0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.lstm(x, (h0, c0))
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class GRU(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(GRU, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.gru = nn.GRU(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, num_classes))
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.gru(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class RNN(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(RNN, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.rnn = nn.RNN(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, hidden_size),
|
||||
nn.ReLU,
|
||||
nn.Linear(hidden_size, 50),
|
||||
nn.ReLU,
|
||||
nn.Linear(50, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.rnn(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
# Hyper-parameters
|
||||
sequence_length = 41
|
||||
dataset_obj_path = "./cicids2017/消融实验/dataset.pkl"
|
||||
if os.path.isfile(dataset_obj_path):
|
||||
# read dataset
|
||||
fileobj = open(dataset_obj_path, 'rb')
|
||||
dataset = pickle.load(fileobj)
|
||||
fileobj.close()
|
||||
else:
|
||||
# dataset
|
||||
dataset_path = "cicids2017/input/cicids-label.csv"
|
||||
dataset = MyDataSet(path=dataset_path, seq_len=sequence_length,
|
||||
mode='train', train_portion=0.8)
|
||||
# 保存dataset到文件
|
||||
output_hal = open(dataset_obj_path, 'wb')
|
||||
str = pickle.dumps(dataset)
|
||||
output_hal.write(str)
|
||||
output_hal.close()
|
||||
|
||||
input_size = dataset.input_size
|
||||
hidden_size = 128
|
||||
num_layers = 2
|
||||
num_classes = 2
|
||||
batch_size = 100
|
||||
num_epochs = 10
|
||||
learning_rate = 0.001
|
||||
|
||||
model = LSTM(input_size, hidden_size, num_layers, num_classes).to(device)
|
||||
|
||||
|
||||
# sampler
|
||||
# Loss and optimizer
|
||||
criterion = nn.CrossEntropyLoss()
|
||||
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
|
||||
|
||||
# loader
|
||||
loader = Data.DataLoader(dataset, batch_size=batch_size, shuffle=True)
|
||||
# Train the model
|
||||
total_step = len(loader)
|
||||
for epoch in range(num_epochs):
|
||||
for i, (images, labels) in enumerate(loader):
|
||||
# 函数用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，同时列出数据和数据下标
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
|
||||
# Forward pass
|
||||
outputs = model(images)
|
||||
loss = criterion(outputs, labels.long())
|
||||
|
||||
# Backward and optimize
|
||||
optimizer.zero_grad()
|
||||
loss.backward()
|
||||
optimizer.step()
|
||||
|
||||
# 每10个step/iteration输出一次
|
||||
if (i+1) % 100 == 0:
|
||||
logging.info('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
|
||||
.format(epoch+1, num_epochs, i+1, total_step, loss.item()))
|
||||
|
||||
# Test the model
|
||||
dataset.mode = "test"
|
||||
test_loader = Data.DataLoader(dataset, batch_size=batch_size, shuffle=True)
|
||||
model.eval()
|
||||
with torch.no_grad():
|
||||
pred_list = []
|
||||
label_list = []
|
||||
correct = 0
|
||||
total = 0
|
||||
for images, labels in loader:
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
outputs = model(images)
|
||||
_, predicted = torch.max(outputs.data, 1)
|
||||
pred_temp = predicted.data.tolist()
|
||||
label_temp = labels.data.tolist()
|
||||
pred_list.extend(pred_temp)
|
||||
label_list.extend(label_temp)
|
||||
f1 = f1_score(label_list, pred_list)
|
||||
logging.info("f1 :{}".format(f1))
|
||||
logging.info(classification_report(label_list, pred_list, digits=4))
|
||||
logging.info(confusion_matrix(label_list, pred_list))
|
||||
|
||||
# 打印参数
|
||||
logging.info("parameters: batch_size:{}, num_epochs:{}, learning_rage:{}".format(
|
||||
batch_size, num_epochs, learning_rate))
|
||||
# Save the model checkpoint
|
||||
torch.save(model.state_dict(), './myrnn/model.ckpt')
|
||||
111
代码/sequenceShield/examples/rnn.py
Normal file
111
代码/sequenceShield/examples/rnn.py
Normal file
@@ -0,0 +1,111 @@
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
import torchvision
|
||||
import torchvision.transforms as transforms
|
||||
|
||||
|
||||
# Device configuration
|
||||
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
||||
|
||||
# Hyper-parameters
|
||||
sequence_length = 28
|
||||
input_size = 28
|
||||
hidden_size = 128
|
||||
num_layers = 2
|
||||
num_classes = 10
|
||||
batch_size = 100
|
||||
num_epochs = 2
|
||||
learning_rate = 0.01
|
||||
|
||||
# MNIST dataset
|
||||
train_dataset = torchvision.datasets.MNIST(root='../../data/',
|
||||
train=True,
|
||||
transform=transforms.ToTensor(),
|
||||
download=True)
|
||||
|
||||
test_dataset = torchvision.datasets.MNIST(root='../../data/',
|
||||
train=False,
|
||||
transform=transforms.ToTensor())
|
||||
|
||||
# Data loader
|
||||
train_loader = torch.utils.data.DataLoader(dataset=train_dataset,
|
||||
batch_size=batch_size,
|
||||
shuffle=True)
|
||||
|
||||
test_loader = torch.utils.data.DataLoader(dataset=test_dataset,
|
||||
batch_size=batch_size,
|
||||
shuffle=False)
|
||||
|
||||
# Recurrent neural network (many-to-one)
|
||||
|
||||
|
||||
class RNN(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(RNN, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.lstm = nn.LSTM(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
self.fc = nn.Linear(hidden_size, num_classes)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
c0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.lstm(x, (h0, c0))
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
model = RNN(input_size, hidden_size, num_layers, num_classes).to(device)
|
||||
|
||||
|
||||
# Loss and optimizer
|
||||
criterion = nn.CrossEntropyLoss()
|
||||
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
|
||||
|
||||
# Train the model
|
||||
total_step = len(train_loader)
|
||||
for epoch in range(num_epochs):
|
||||
for i, (images, labels) in enumerate(train_loader):
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
|
||||
# Forward pass
|
||||
outputs = model(images)
|
||||
loss = criterion(outputs, labels)
|
||||
|
||||
# Backward and optimize
|
||||
optimizer.zero_grad()
|
||||
loss.backward()
|
||||
optimizer.step()
|
||||
|
||||
if (i+1) % 100 == 0:
|
||||
print('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
|
||||
.format(epoch+1, num_epochs, i+1, total_step, loss.item()))
|
||||
|
||||
# Test the model
|
||||
model.eval()
|
||||
with torch.no_grad():
|
||||
correct = 0
|
||||
total = 0
|
||||
for images, labels in test_loader:
|
||||
images = images.reshape(-1, sequence_length, input_size).to(device)
|
||||
labels = labels.to(device)
|
||||
outputs = model(images)
|
||||
_, predicted = torch.max(outputs.data, 1)
|
||||
total += labels.size(0)
|
||||
correct += (predicted == labels).sum().item()
|
||||
|
||||
print('Test Accuracy of the model on the 10000 test images: {} %'.format(
|
||||
100 * correct / total))
|
||||
|
||||
# Save the model checkpoint
|
||||
torch.save(model.state_dict(), 'model.ckpt')
|
||||
@@ -0,0 +1,2 @@
|
||||
Model,Samples,Accuracy,F1Score,Hyper-parameters,Validation Set
|
||||
DOS2019-LUCID,8860,0.9880,0.9882,"{'batch_size': 2048, 'dropout': 0.7, 'kernels': 64, 'learning_rate': 0.001, 'regularization': 'l2'}",./test_day_data_files/10t-10n-DOS2019-dataset-val.hdf5
|
||||
|
BIN
代码/sequenceShield/lucid-cicddos2019/10t-10n-DOS2019-LUCID.h5
Normal file
BIN
代码/sequenceShield/lucid-cicddos2019/10t-10n-DOS2019-LUCID.h5
Normal file
Binary file not shown.
@@ -0,0 +1,2 @@
|
||||
Model,Time,Packets,Samples,DDOS%,Accuracy,F1Score,precision,recall,TPR,FPR,TNR,FNR,Source
|
||||
DOS2019-LUCID,0.045,38829,9847,0.532,0.9879,0.9885,0.9799618320610687,0.9972810254418334,0.9973,0.0223,0.9777,0.0027,10t-10n-DOS2019-dataset-test.hdf5
|
||||
|
92
代码/sequenceShield/model/model.py
Normal file
92
代码/sequenceShield/model/model.py
Normal file
@@ -0,0 +1,92 @@
|
||||
import torch.nn as nn
|
||||
import torch
|
||||
|
||||
|
||||
class LSTM(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes, device):
|
||||
super(LSTM, self).__init__()
|
||||
self.device = device
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.lstm = nn.LSTM(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(self.device)
|
||||
c0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(self.device)
|
||||
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.lstm(x, (h0, c0))
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class GRU(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes, device):
|
||||
super(GRU, self).__init__()
|
||||
self.device = device
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.gru = nn.GRU(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(self.device)
|
||||
# Forward propagate GRU
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.gru(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class RNN(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes, device):
|
||||
super(RNN, self).__init__()
|
||||
self.device = device
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.rnn = nn.RNN(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(self.device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.rnn(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
20
代码/sequenceShield/tune/config.yml
Normal file
20
代码/sequenceShield/tune/config.yml
Normal file
@@ -0,0 +1,20 @@
|
||||
authorName: default
|
||||
experimentName: sequence-ddos
|
||||
trialConcurrency: 1
|
||||
maxExecDuration: 24h
|
||||
maxTrialNum: 1000
|
||||
#choice: local, remote
|
||||
trainingServicePlatform: local
|
||||
searchSpacePath: search_space.json
|
||||
#choice: true, false
|
||||
useAnnotation: false
|
||||
tuner:
|
||||
#choice: TPE, Random, Anneal, Evolution
|
||||
builtinTunerName: TPE
|
||||
classArgs:
|
||||
#choice: maximize, minimize
|
||||
optimize_mode: maximize
|
||||
trial:
|
||||
command: python model.py
|
||||
codeDir: .
|
||||
gpuNum: 0
|
||||
331
代码/sequenceShield/tune/model.py
Normal file
331
代码/sequenceShield/tune/model.py
Normal file
@@ -0,0 +1,331 @@
|
||||
# coding=UTF-8
|
||||
from pickle import TRUE
|
||||
import torch
|
||||
import torch.nn as nn
|
||||
import torchvision
|
||||
import torchvision.transforms as transforms
|
||||
import torch.utils.data as Data
|
||||
import pandas as pd
|
||||
from sklearn.metrics import confusion_matrix
|
||||
from sklearn.metrics import classification_report
|
||||
import pickle
|
||||
from random import randint
|
||||
import os.path
|
||||
import nni
|
||||
import logging
|
||||
from sklearn.metrics import f1_score
|
||||
|
||||
# Device configuration
|
||||
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
|
||||
LOG = logging.getLogger('tune')
|
||||
|
||||
|
||||
class MyDataSet(Data.Dataset):
|
||||
def parse_data(self, path):
|
||||
dataset_ls = []
|
||||
protocols = []
|
||||
df = pd.read_csv(path)
|
||||
# 编码
|
||||
for index, row in df.iterrows():
|
||||
dataset_ls.append(row)
|
||||
features = row["1":"41"]
|
||||
for i in features:
|
||||
protocol = i[1:] # 去除掉方向信息
|
||||
if protocol not in protocols:
|
||||
protocols.append(protocol)
|
||||
self.input_size = len(protocols)+1 # 最后一位用于编码标明方向，其余位用于onehot编码协议
|
||||
|
||||
one_hot_code = nn.functional.one_hot(
|
||||
torch.tensor(range(len(protocols)))).to(torch.int8)
|
||||
|
||||
# 划分训练、测试数据集
|
||||
train_len = int(self.train_portion * len(dataset_ls))
|
||||
test_len = len(dataset_ls) - train_len
|
||||
train_dataset, test_dataset = torch.utils.data.random_split(
|
||||
dataset_ls, [train_len, test_len])
|
||||
|
||||
# 训练集
|
||||
train_dataset_ls = list(train_dataset)
|
||||
train_labels_true_num = 0
|
||||
train_labels_false_num = 0
|
||||
# 采样
|
||||
train_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(train_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels_true_num += 1
|
||||
train_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 19) <= 1:
|
||||
train_dataset_sample_ls.append(row)
|
||||
train_labels_false_num += 1
|
||||
train_sample_len = train_labels_false_num+train_labels_true_num
|
||||
train_inputs = torch.zeros(
|
||||
train_sample_len, self.sequence_len, self.input_size)
|
||||
train_labels = torch.zeros(train_sample_len)
|
||||
for row_idx, row in enumerate(train_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
train_labels[row_idx] = 1
|
||||
else:
|
||||
train_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
train_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
train_inputs[row_idx][feature_idx][-1] = direction
|
||||
# 把训练集打印到文件
|
||||
|
||||
# 测试集
|
||||
test_dataset_ls = list(test_dataset)
|
||||
test_labels_true_num = 0
|
||||
test_labels_false_num = 0
|
||||
# 采样
|
||||
test_dataset_sample_ls = []
|
||||
for row_idx, row in enumerate(test_dataset_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels_true_num += 1
|
||||
test_dataset_sample_ls.append(row)
|
||||
else:
|
||||
if randint(0, 19) <= 1:
|
||||
test_dataset_sample_ls.append(row)
|
||||
test_labels_false_num += 1
|
||||
test_sample_len = test_labels_true_num+test_labels_false_num
|
||||
test_inputs = torch.zeros(
|
||||
test_sample_len, self.sequence_len, self.input_size)
|
||||
test_labels = torch.zeros(test_sample_len)
|
||||
for row_idx, row in enumerate(test_dataset_sample_ls):
|
||||
label = row["0"]
|
||||
if label == True:
|
||||
test_labels[row_idx] = 1
|
||||
else:
|
||||
test_labels[row_idx] = 0
|
||||
features = row["1":"41"]
|
||||
for feature_idx, feature in enumerate(features):
|
||||
# 方向
|
||||
direction = 1
|
||||
if feature[0] == '-':
|
||||
direction = 0
|
||||
feature = feature[1:] # 去掉方向信息
|
||||
code_idx = protocols.index(feature)
|
||||
test_inputs[row_idx][feature_idx][code_idx] = 1
|
||||
test_inputs[row_idx][feature_idx][-1] = direction
|
||||
|
||||
print("train_labels_true_num:%d" % (train_labels_true_num))
|
||||
print("train_labels_false_num:%d" % (train_labels_false_num))
|
||||
print("test_labels_true_num:%d" % (test_labels_true_num))
|
||||
print("test_labels_false_num:%d" % (test_labels_false_num))
|
||||
|
||||
return train_inputs, train_labels, test_inputs, test_labels
|
||||
|
||||
def __init__(self, path, seq_len, mode='train', train_portion=0.8):
|
||||
# 需要把数据rawdata全部转换成tensor
|
||||
self.train_portion = train_portion
|
||||
self.mode = mode
|
||||
self.sequence_len = seq_len
|
||||
self.input_size = 0
|
||||
self.train_inputs, self.train_labels, self.test_inputs, self.test_labels = self.parse_data(
|
||||
path)
|
||||
|
||||
def __len__(self):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs.size(0)
|
||||
else:
|
||||
return self.test_inputs.size(0)
|
||||
|
||||
def __getitem__(self, idx):
|
||||
if self.mode == "train":
|
||||
return self.train_inputs[idx], self.train_labels[idx]
|
||||
else:
|
||||
return self.test_inputs[idx], self.test_labels[idx]
|
||||
# Recurrent neural network (many-to-one)
|
||||
|
||||
|
||||
class LSTM(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(LSTM, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.lstm = nn.LSTM(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, hidden_size),
|
||||
nn.ReLU(),
|
||||
nn.Dropout(p=0.3),
|
||||
nn.Linear(hidden_size, 100),
|
||||
nn.ReLU(),
|
||||
nn.Linear(100, num_classes)
|
||||
)
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
c0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.lstm(x, (h0, c0))
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class GRU(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(GRU, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.gru = nn.GRU(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, num_classes))
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.gru(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
class RNN(nn.Module):
|
||||
def __init__(self, input_size, hidden_size, num_layers, num_classes):
|
||||
super(RNN, self).__init__()
|
||||
self.hidden_size = hidden_size
|
||||
self.num_layers = num_layers
|
||||
self.rnn = nn.RNN(input_size, hidden_size,
|
||||
num_layers, batch_first=True)
|
||||
|
||||
self.fc = nn.Sequential(
|
||||
nn.Linear(hidden_size, num_classes))
|
||||
|
||||
def forward(self, x):
|
||||
# Set initial hidden and cell states
|
||||
h0 = torch.zeros(self.num_layers, x.size(0),
|
||||
self.hidden_size).to(device)
|
||||
# Forward propagate LSTM
|
||||
# out: tensor of shape (batch_size, seq_length, hidden_size)
|
||||
out, _ = self.rnn(x, h0)
|
||||
|
||||
# Decode the hidden state of the last time step
|
||||
# 这里只取了最后一个time step
|
||||
out = self.fc(out[:, -1, :])
|
||||
return out
|
||||
|
||||
|
||||
def get_default_parameters():
|
||||
parameter = {
|
||||
"sequence_length": 41,
|
||||
"num_layers": 2,
|
||||
"num_class": 2,
|
||||
"hidden_size": 128,
|
||||
"batch_size": 100,
|
||||
"num_epochs": 2,
|
||||
"learning_rate": 0.001,
|
||||
}
|
||||
return parameter
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# get parameters from tuner
|
||||
RECEIVED_PARAMS = nni.get_next_parameter()
|
||||
LOG.debug(RECEIVED_PARAMS)
|
||||
PARAMS = get_default_parameters()
|
||||
PARAMS.update(RECEIVED_PARAMS)
|
||||
|
||||
dataset_obj_path = "dataset.pkl"
|
||||
if os.path.isfile(dataset_obj_path):
|
||||
# read dataset
|
||||
fileobj = open(dataset_obj_path, 'rb')
|
||||
dataset = pickle.load(fileobj)
|
||||
fileobj.close()
|
||||
else:
|
||||
# dataset
|
||||
dataset_path = "../out.csv"
|
||||
dataset = MyDataSet(path=dataset_path, seq_len=PARAMS["sequence_length"],
|
||||
mode='train', train_portion=0.8)
|
||||
# 保存dataset到文件
|
||||
output_hal = open(dataset_obj_path, 'wb')
|
||||
str = pickle.dumps(dataset)
|
||||
output_hal.write(str)
|
||||
output_hal.close()
|
||||
|
||||
PARAMS["input_size"] = dataset.input_size
|
||||
|
||||
model = LSTM(PARAMS["input_size"], PARAMS["hidden_size"],
|
||||
PARAMS["num_layers"], PARAMS["num_class"]).to(device)
|
||||
|
||||
# sampler
|
||||
# Loss and optimizer
|
||||
criterion = nn.CrossEntropyLoss()
|
||||
optimizer = torch.optim.Adam(
|
||||
model.parameters(), lr=PARAMS["learning_rate"])
|
||||
|
||||
# loader
|
||||
loader = Data.DataLoader(
|
||||
dataset, batch_size=PARAMS["batch_size"], shuffle=True)
|
||||
# Train the model
|
||||
total_step = len(loader)
|
||||
for epoch in range(PARAMS["num_epochs"]):
|
||||
for i, (images, labels) in enumerate(loader):
|
||||
# 函数用于将一个可遍历的数据对象(如列表、元组或字符串)组合为一个索引序列，同时列出数据和数据下标
|
||||
images = images.reshape(-1, PARAMS["sequence_length"],
|
||||
PARAMS["input_size"]).to(device)
|
||||
labels = labels.to(device)
|
||||
|
||||
# Forward pass
|
||||
outputs = model(images)
|
||||
loss = criterion(outputs, labels.long())
|
||||
|
||||
# Backward and optimize
|
||||
optimizer.zero_grad()
|
||||
loss.backward()
|
||||
optimizer.step()
|
||||
|
||||
# 每10个step/iteration输出一次
|
||||
if (i+1) % 100 == 0:
|
||||
print('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}'
|
||||
.format(epoch+1, PARAMS["num_epochs"], i+1, total_step, loss.item()))
|
||||
|
||||
# Test the model
|
||||
dataset.mode = "test"
|
||||
test_loader = Data.DataLoader(
|
||||
dataset, batch_size=PARAMS["batch_size"], shuffle=True)
|
||||
model.eval()
|
||||
with torch.no_grad():
|
||||
pred_list = []
|
||||
label_list = []
|
||||
correct = 0
|
||||
total = 0
|
||||
for images, labels in loader:
|
||||
images = images.reshape(-1, PARAMS["sequence_length"],
|
||||
PARAMS["input_size"]).to(device)
|
||||
labels = labels.to(device)
|
||||
outputs = model(images)
|
||||
_, predicted = torch.max(outputs.data, 1)
|
||||
pred_temp = predicted.data.tolist()
|
||||
label_temp = labels.data.tolist()
|
||||
pred_list.extend(pred_temp)
|
||||
label_list.extend(label_temp)
|
||||
f1 = f1_score(label_list, pred_list)
|
||||
nni.report_final_result(f1)
|
||||
#nni.report_intermediate_result(classification_report(label_list, pred_list, digits=4))
|
||||
#nni.report_intermediate_result(confusion_matrix(label_list, pred_list))
|
||||
36
代码/sequenceShield/tune/search_space.json
Normal file
36
代码/sequenceShield/tune/search_space.json
Normal file
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"num_layers": {
|
||||
"_type": "choice",
|
||||
"_value": [
|
||||
2,
|
||||
3
|
||||
]
|
||||
},
|
||||
"hidden_size": {
|
||||
"_type": "choice",
|
||||
"_value": [
|
||||
128
|
||||
]
|
||||
},
|
||||
"batch_size ": {
|
||||
"_type": "randint",
|
||||
"_value": [
|
||||
5,
|
||||
100
|
||||
]
|
||||
},
|
||||
"num_epochs ": {
|
||||
"_type": "randint",
|
||||
"_value": [
|
||||
10,
|
||||
150
|
||||
]
|
||||
},
|
||||
"learning_rate ": {
|
||||
"_type": "uniform",
|
||||
"_value": [
|
||||
0.001,
|
||||
0.01
|
||||
]
|
||||
}
|
||||
}
|
||||
46
代码/sequenceShield/小论文/picture/DDoS_portion.py
Normal file
46
代码/sequenceShield/小论文/picture/DDoS_portion.py
Normal file
@@ -0,0 +1,46 @@
|
||||
import pandas as pd
|
||||
import os
|
||||
|
||||
dir_03_11 = "/mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/TFTP.csv"
|
||||
|
||||
|
||||
def func(file_path):
|
||||
label_dic = {}
|
||||
df = pd.read_csv(file_path)
|
||||
print("already read file {}".format(file_path))
|
||||
for index, row in df.iterrows():
|
||||
label = row[" Label"]
|
||||
number = row[" Total Fwd Packets"]+row[" Total Backward Packets"]
|
||||
if label in label_dic:
|
||||
label_dic[label] += number
|
||||
else:
|
||||
label_dic[label] = 0
|
||||
print(label_dic)
|
||||
|
||||
|
||||
# 按块读
|
||||
def func1(file_path):
|
||||
loop = True
|
||||
chunkSize = 10000
|
||||
label_dic = {}
|
||||
reader = pd.read_csv(file_path, low_memory=False, iterator=True)
|
||||
while loop:
|
||||
try:
|
||||
print("---")
|
||||
chunk = reader.get_chunk(chunkSize)
|
||||
for i in range(len(chunk)):
|
||||
row = chunk.iloc[i]
|
||||
label = row[" Label"]
|
||||
number = row[" Total Fwd Packets"]+row[" Total Backward Packets"]
|
||||
if label in label_dic:
|
||||
label_dic[label] += number
|
||||
else:
|
||||
label_dic[label] = 0
|
||||
except StopIteration:
|
||||
loop = False
|
||||
print("Iteration is stopped.")
|
||||
print("file {}".format(file_path))
|
||||
print(label_dic)
|
||||
|
||||
|
||||
func1(dir_03_11)
|
||||
20
代码/sequenceShield/小论文/picture/pic_nni.py
Normal file
20
代码/sequenceShield/小论文/picture/pic_nni.py
Normal file
@@ -0,0 +1,20 @@
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from scipy.fftpack import ss_diff
|
||||
|
||||
font = {
|
||||
'weight': 'normal',
|
||||
'size': 24,
|
||||
}
|
||||
plt.rc('font', family='Times New Roman')
|
||||
|
||||
x = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60]
|
||||
y = [0.9114, 0.9454, 0.9500, 0.9565, 0.9578,
|
||||
0.9627, 0.9637, 0.9636, 0.9637, 0.9631, 0.9643]
|
||||
plt.plot(x, y, linewidth=5, color='r',
|
||||
marker='o', markerfacecolor='blue', markersize=12)
|
||||
plt.xlabel("sequence length N", fontsize=24)
|
||||
plt.xticks(x, fontsize=16)
|
||||
plt.ylabel("F1-score", fontsize=24)
|
||||
plt.yticks(fontsize=16)
|
||||
plt.savefig('./新小论文数据/pic/nni.pdf',bbox_inches='tight', pad_inches=0.1)
|
||||
38
代码/sequenceShield/小论文/picture/picture.py
Normal file
38
代码/sequenceShield/小论文/picture/picture.py
Normal file
@@ -0,0 +1,38 @@
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from scipy.fftpack import ss_diff
|
||||
|
||||
|
||||
font = {
|
||||
'weight': 'normal',
|
||||
'size': 12,
|
||||
}
|
||||
plt.rc('font', family='Times New Roman')
|
||||
plt.subplots_adjust(left=0.16, bottom=0.12, right=0.96,
|
||||
top=0.96)
|
||||
|
||||
plt.figure(1, figsize=(8, 6))
|
||||
plt.ylim(0.5, 1.07)
|
||||
# cic dos
|
||||
ss = [0.9647, 0.9648, 0.9628, 0.9637]
|
||||
ssdirectionless = [0.7313, 0.7453, 0.7437, 0.7312]
|
||||
# cic ids
|
||||
#ss = [0.9965, 0.9965, 0.9964, 0.9964]
|
||||
#ssdirectionless = [0.9300, 0.9324, 0.9300, 0.9300]
|
||||
# cicddos2019
|
||||
#ss = [0.9987, 0.9988, 0.9986, 0.9987]
|
||||
#ssdirectionless = [0.9306, 0.9226, 0.9222, 0.9226]
|
||||
x = np.arange(4)
|
||||
# 多数据并列柱状图
|
||||
bar_width = 0.35
|
||||
interval_width = 0.06
|
||||
tick_label = ['ACC', 'Precision', 'Recall', 'F1']
|
||||
plt.bar(x, ss, bar_width, align='center',
|
||||
color='#66c2a5', label='SS', edgecolor="black", linewidth=2, hatch="/")
|
||||
plt.bar(x+bar_width+interval_width, ssdirectionless, bar_width, align='center',
|
||||
color='#8da0cb', label='SS-directionless', edgecolor="black", linewidth=2, hatch="*")
|
||||
plt.ylabel('value', fontsize=32)
|
||||
plt.yticks(fontsize=24)
|
||||
plt.xticks(x+bar_width/2, tick_label, fontsize=24)
|
||||
plt.legend(fontsize=18, ncol=2, frameon=False)
|
||||
plt.savefig("./新小论文数据/pic/cicdos2017.pdf")
|
||||
BIN
代码/sequenceShield/小论文/table/all.xlsx
Normal file
BIN
代码/sequenceShield/小论文/table/all.xlsx
Normal file
Binary file not shown.
BIN
代码/sequenceShield/小论文/审批/电子签名.pdf
Normal file
BIN
代码/sequenceShield/小论文/审批/电子签名.pdf
Normal file
Binary file not shown.
BIN
代码/sequenceShield/小论文/审批/论文涉密审查表-邓泽一.pdf
Normal file
BIN
代码/sequenceShield/小论文/审批/论文涉密审查表-邓泽一.pdf
Normal file
Binary file not shown.
BIN
代码/sequenceShield/小论文/文字稿/小论文.docx
Normal file
BIN
代码/sequenceShield/小论文/文字稿/小论文.docx
Normal file
Binary file not shown.
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:30:37: -------------
|
||||
Fri, 16 Sep 2022 16:30:37: layers:(gru,fully connnected layer)-(1,2)
|
||||
Fri, 16 Sep 2022 16:30:37: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:30:37: model parameters - num_layers:1, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:30:37: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:30:37: reading csv file
|
||||
Fri, 16 Sep 2022 16:30:37: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:30:48: procols num: 31
|
||||
Fri, 16 Sep 2022 16:30:48: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:32:13: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:32:14: loader already prepared
|
||||
Fri, 16 Sep 2022 16:32:15: loader中(0:normal,1:high,2:low):Counter({0: 15940, 2: 10603, 1: 5676})
|
||||
Fri, 16 Sep 2022 16:32:16: start training
|
||||
Fri, 16 Sep 2022 16:32:16: Epoch [1/25], Step [50/1289], Loss: 0.5359
|
||||
Fri, 16 Sep 2022 16:32:17: Epoch [1/25], Step [100/1289], Loss: 0.4602
|
||||
Fri, 16 Sep 2022 16:32:17: Epoch [1/25], Step [150/1289], Loss: 0.3972
|
||||
Fri, 16 Sep 2022 16:32:17: Epoch [1/25], Step [200/1289], Loss: 0.3789
|
||||
Fri, 16 Sep 2022 16:32:17: Epoch [1/25], Step [250/1289], Loss: 0.4831
|
||||
Fri, 16 Sep 2022 16:32:17: Epoch [1/25], Step [300/1289], Loss: 0.2643
|
||||
Fri, 16 Sep 2022 16:32:18: Epoch [1/25], Step [350/1289], Loss: 0.3238
|
||||
Fri, 16 Sep 2022 16:32:18: Epoch [1/25], Step [400/1289], Loss: 0.2864
|
||||
Fri, 16 Sep 2022 16:32:18: Epoch [1/25], Step [450/1289], Loss: 0.2685
|
||||
Fri, 16 Sep 2022 16:32:18: Epoch [1/25], Step [500/1289], Loss: 0.1336
|
||||
Fri, 16 Sep 2022 16:32:18: Epoch [1/25], Step [550/1289], Loss: 0.3211
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [600/1289], Loss: 0.1995
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [650/1289], Loss: 0.1293
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [700/1289], Loss: 0.2769
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [750/1289], Loss: 0.1446
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [800/1289], Loss: 0.2012
|
||||
Fri, 16 Sep 2022 16:32:19: Epoch [1/25], Step [850/1289], Loss: 0.2290
|
||||
Fri, 16 Sep 2022 16:32:20: Epoch [1/25], Step [900/1289], Loss: 0.1976
|
||||
Fri, 16 Sep 2022 16:32:20: Epoch [1/25], Step [950/1289], Loss: 0.2901
|
||||
Fri, 16 Sep 2022 16:32:20: Epoch [1/25], Step [1000/1289], Loss: 0.1329
|
||||
Fri, 16 Sep 2022 16:32:20: Epoch [1/25], Step [1050/1289], Loss: 0.1478
|
||||
Fri, 16 Sep 2022 16:32:20: Epoch [1/25], Step [1100/1289], Loss: 0.1768
|
||||
Fri, 16 Sep 2022 16:32:21: Epoch [1/25], Step [1150/1289], Loss: 0.1307
|
||||
Fri, 16 Sep 2022 16:32:21: Epoch [1/25], Step [1200/1289], Loss: 0.1152
|
||||
Fri, 16 Sep 2022 16:32:21: Epoch [1/25], Step [1250/1289], Loss: 0.1331
|
||||
Fri, 16 Sep 2022 16:32:21: Epoch [2/25], Step [50/1289], Loss: 0.1639
|
||||
Fri, 16 Sep 2022 16:32:21: Epoch [2/25], Step [100/1289], Loss: 0.2035
|
||||
Fri, 16 Sep 2022 16:32:22: Epoch [2/25], Step [150/1289], Loss: 0.2583
|
||||
Fri, 16 Sep 2022 16:32:22: Epoch [2/25], Step [200/1289], Loss: 0.2907
|
||||
Fri, 16 Sep 2022 16:32:22: Epoch [2/25], Step [250/1289], Loss: 0.0835
|
||||
Fri, 16 Sep 2022 16:32:22: Epoch [2/25], Step [300/1289], Loss: 0.2391
|
||||
Fri, 16 Sep 2022 16:32:22: Epoch [2/25], Step [350/1289], Loss: 0.2116
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [400/1289], Loss: 0.2047
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [450/1289], Loss: 0.1673
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [500/1289], Loss: 0.1659
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [550/1289], Loss: 0.1458
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [600/1289], Loss: 0.1233
|
||||
Fri, 16 Sep 2022 16:32:23: Epoch [2/25], Step [650/1289], Loss: 0.0781
|
||||
Fri, 16 Sep 2022 16:32:24: Epoch [2/25], Step [700/1289], Loss: 0.1918
|
||||
Fri, 16 Sep 2022 16:32:24: Epoch [2/25], Step [750/1289], Loss: 0.1922
|
||||
Fri, 16 Sep 2022 16:32:24: Epoch [2/25], Step [800/1289], Loss: 0.2050
|
||||
Fri, 16 Sep 2022 16:32:24: Epoch [2/25], Step [850/1289], Loss: 0.1157
|
||||
Fri, 16 Sep 2022 16:32:24: Epoch [2/25], Step [900/1289], Loss: 0.1680
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [950/1289], Loss: 0.1251
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [1000/1289], Loss: 0.1454
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [1050/1289], Loss: 0.3372
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [1100/1289], Loss: 0.1002
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [1150/1289], Loss: 0.1508
|
||||
Fri, 16 Sep 2022 16:32:25: Epoch [2/25], Step [1200/1289], Loss: 0.1842
|
||||
Fri, 16 Sep 2022 16:32:26: Epoch [2/25], Step [1250/1289], Loss: 0.1390
|
||||
Fri, 16 Sep 2022 16:32:26: Epoch [3/25], Step [50/1289], Loss: 0.1640
|
||||
Fri, 16 Sep 2022 16:32:26: Epoch [3/25], Step [100/1289], Loss: 0.1828
|
||||
Fri, 16 Sep 2022 16:32:26: Epoch [3/25], Step [150/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [200/1289], Loss: 0.1767
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [250/1289], Loss: 0.1618
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [300/1289], Loss: 0.1016
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [350/1289], Loss: 0.0769
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [400/1289], Loss: 0.1426
|
||||
Fri, 16 Sep 2022 16:32:27: Epoch [3/25], Step [450/1289], Loss: 0.1207
|
||||
Fri, 16 Sep 2022 16:32:28: Epoch [3/25], Step [500/1289], Loss: 0.1529
|
||||
Fri, 16 Sep 2022 16:32:28: Epoch [3/25], Step [550/1289], Loss: 0.0664
|
||||
Fri, 16 Sep 2022 16:32:28: Epoch [3/25], Step [600/1289], Loss: 0.0724
|
||||
Fri, 16 Sep 2022 16:32:28: Epoch [3/25], Step [650/1289], Loss: 0.1892
|
||||
Fri, 16 Sep 2022 16:32:28: Epoch [3/25], Step [700/1289], Loss: 0.1492
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [750/1289], Loss: 0.0923
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [800/1289], Loss: 0.1177
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [850/1289], Loss: 0.0954
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [900/1289], Loss: 0.1579
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [950/1289], Loss: 0.1497
|
||||
Fri, 16 Sep 2022 16:32:29: Epoch [3/25], Step [1000/1289], Loss: 0.1761
|
||||
Fri, 16 Sep 2022 16:32:30: Epoch [3/25], Step [1050/1289], Loss: 0.1595
|
||||
Fri, 16 Sep 2022 16:32:30: Epoch [3/25], Step [1100/1289], Loss: 0.1151
|
||||
Fri, 16 Sep 2022 16:32:30: Epoch [3/25], Step [1150/1289], Loss: 0.0908
|
||||
Fri, 16 Sep 2022 16:32:30: Epoch [3/25], Step [1200/1289], Loss: 0.1939
|
||||
Fri, 16 Sep 2022 16:32:30: Epoch [3/25], Step [1250/1289], Loss: 0.1340
|
||||
Fri, 16 Sep 2022 16:32:31: Epoch [4/25], Step [50/1289], Loss: 0.2098
|
||||
Fri, 16 Sep 2022 16:32:31: Epoch [4/25], Step [100/1289], Loss: 0.0865
|
||||
Fri, 16 Sep 2022 16:32:31: Epoch [4/25], Step [150/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:32:31: Epoch [4/25], Step [200/1289], Loss: 0.1056
|
||||
Fri, 16 Sep 2022 16:32:31: Epoch [4/25], Step [250/1289], Loss: 0.0774
|
||||
Fri, 16 Sep 2022 16:32:32: Epoch [4/25], Step [300/1289], Loss: 0.0877
|
||||
Fri, 16 Sep 2022 16:32:32: Epoch [4/25], Step [350/1289], Loss: 0.1852
|
||||
Fri, 16 Sep 2022 16:32:32: Epoch [4/25], Step [400/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 16:32:32: Epoch [4/25], Step [450/1289], Loss: 0.0842
|
||||
Fri, 16 Sep 2022 16:32:32: Epoch [4/25], Step [500/1289], Loss: 0.0858
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [550/1289], Loss: 0.1112
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [600/1289], Loss: 0.0937
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [650/1289], Loss: 0.1526
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [700/1289], Loss: 0.1110
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [750/1289], Loss: 0.1312
|
||||
Fri, 16 Sep 2022 16:32:33: Epoch [4/25], Step [800/1289], Loss: 0.0537
|
||||
Fri, 16 Sep 2022 16:32:34: Epoch [4/25], Step [850/1289], Loss: 0.1012
|
||||
Fri, 16 Sep 2022 16:32:34: Epoch [4/25], Step [900/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 16:32:34: Epoch [4/25], Step [950/1289], Loss: 0.1465
|
||||
Fri, 16 Sep 2022 16:32:34: Epoch [4/25], Step [1000/1289], Loss: 0.1077
|
||||
Fri, 16 Sep 2022 16:32:34: Epoch [4/25], Step [1050/1289], Loss: 0.0911
|
||||
Fri, 16 Sep 2022 16:32:35: Epoch [4/25], Step [1100/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 16:32:35: Epoch [4/25], Step [1150/1289], Loss: 0.1983
|
||||
Fri, 16 Sep 2022 16:32:35: Epoch [4/25], Step [1200/1289], Loss: 0.1368
|
||||
Fri, 16 Sep 2022 16:32:35: Epoch [4/25], Step [1250/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 16:32:35: Epoch [5/25], Step [50/1289], Loss: 0.0608
|
||||
Fri, 16 Sep 2022 16:32:36: Epoch [5/25], Step [100/1289], Loss: 0.1652
|
||||
Fri, 16 Sep 2022 16:32:36: Epoch [5/25], Step [150/1289], Loss: 0.1056
|
||||
Fri, 16 Sep 2022 16:32:36: Epoch [5/25], Step [200/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 16:32:36: Epoch [5/25], Step [250/1289], Loss: 0.0627
|
||||
Fri, 16 Sep 2022 16:32:36: Epoch [5/25], Step [300/1289], Loss: 0.1122
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [350/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [400/1289], Loss: 0.1425
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [450/1289], Loss: 0.1058
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [500/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [550/1289], Loss: 0.1050
|
||||
Fri, 16 Sep 2022 16:32:37: Epoch [5/25], Step [600/1289], Loss: 0.0763
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [650/1289], Loss: 0.0992
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [700/1289], Loss: 0.0831
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [750/1289], Loss: 0.1241
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [800/1289], Loss: 0.0686
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [850/1289], Loss: 0.0427
|
||||
Fri, 16 Sep 2022 16:32:38: Epoch [5/25], Step [900/1289], Loss: 0.1479
|
||||
Fri, 16 Sep 2022 16:32:39: Epoch [5/25], Step [950/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:32:39: Epoch [5/25], Step [1000/1289], Loss: 0.0785
|
||||
Fri, 16 Sep 2022 16:32:39: Epoch [5/25], Step [1050/1289], Loss: 0.1357
|
||||
Fri, 16 Sep 2022 16:32:39: Epoch [5/25], Step [1100/1289], Loss: 0.1052
|
||||
Fri, 16 Sep 2022 16:32:39: Epoch [5/25], Step [1150/1289], Loss: 0.1110
|
||||
Fri, 16 Sep 2022 16:32:40: Epoch [5/25], Step [1200/1289], Loss: 0.0414
|
||||
Fri, 16 Sep 2022 16:32:40: Epoch [5/25], Step [1250/1289], Loss: 0.1175
|
||||
Fri, 16 Sep 2022 16:32:40: Epoch [6/25], Step [50/1289], Loss: 0.1557
|
||||
Fri, 16 Sep 2022 16:32:40: Epoch [6/25], Step [100/1289], Loss: 0.1510
|
||||
Fri, 16 Sep 2022 16:32:40: Epoch [6/25], Step [150/1289], Loss: 0.1330
|
||||
Fri, 16 Sep 2022 16:32:41: Epoch [6/25], Step [200/1289], Loss: 0.0923
|
||||
Fri, 16 Sep 2022 16:32:41: Epoch [6/25], Step [250/1289], Loss: 0.0381
|
||||
Fri, 16 Sep 2022 16:32:41: Epoch [6/25], Step [300/1289], Loss: 0.0781
|
||||
Fri, 16 Sep 2022 16:32:41: Epoch [6/25], Step [350/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:32:41: Epoch [6/25], Step [400/1289], Loss: 0.1132
|
||||
Fri, 16 Sep 2022 16:32:42: Epoch [6/25], Step [450/1289], Loss: 0.1466
|
||||
Fri, 16 Sep 2022 16:32:42: Epoch [6/25], Step [500/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 16:32:42: Epoch [6/25], Step [550/1289], Loss: 0.1183
|
||||
Fri, 16 Sep 2022 16:32:42: Epoch [6/25], Step [600/1289], Loss: 0.1122
|
||||
Fri, 16 Sep 2022 16:32:42: Epoch [6/25], Step [650/1289], Loss: 0.0475
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [700/1289], Loss: 0.0788
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [750/1289], Loss: 0.1631
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [800/1289], Loss: 0.0811
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [850/1289], Loss: 0.0856
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [900/1289], Loss: 0.0731
|
||||
Fri, 16 Sep 2022 16:32:43: Epoch [6/25], Step [950/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:32:44: Epoch [6/25], Step [1000/1289], Loss: 0.0775
|
||||
Fri, 16 Sep 2022 16:32:44: Epoch [6/25], Step [1050/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:32:44: Epoch [6/25], Step [1100/1289], Loss: 0.0940
|
||||
Fri, 16 Sep 2022 16:32:44: Epoch [6/25], Step [1150/1289], Loss: 0.0556
|
||||
Fri, 16 Sep 2022 16:32:44: Epoch [6/25], Step [1200/1289], Loss: 0.1095
|
||||
Fri, 16 Sep 2022 16:32:45: Epoch [6/25], Step [1250/1289], Loss: 0.1054
|
||||
Fri, 16 Sep 2022 16:32:45: Epoch [7/25], Step [50/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:32:45: Epoch [7/25], Step [100/1289], Loss: 0.0953
|
||||
Fri, 16 Sep 2022 16:32:45: Epoch [7/25], Step [150/1289], Loss: 0.0679
|
||||
Fri, 16 Sep 2022 16:32:45: Epoch [7/25], Step [200/1289], Loss: 0.0610
|
||||
Fri, 16 Sep 2022 16:32:46: Epoch [7/25], Step [250/1289], Loss: 0.0459
|
||||
Fri, 16 Sep 2022 16:32:46: Epoch [7/25], Step [300/1289], Loss: 0.1282
|
||||
Fri, 16 Sep 2022 16:32:46: Epoch [7/25], Step [350/1289], Loss: 0.0481
|
||||
Fri, 16 Sep 2022 16:32:46: Epoch [7/25], Step [400/1289], Loss: 0.0767
|
||||
Fri, 16 Sep 2022 16:32:46: Epoch [7/25], Step [450/1289], Loss: 0.0353
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [500/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [550/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [600/1289], Loss: 0.0731
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [650/1289], Loss: 0.0922
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [700/1289], Loss: 0.0846
|
||||
Fri, 16 Sep 2022 16:32:47: Epoch [7/25], Step [750/1289], Loss: 0.0847
|
||||
Fri, 16 Sep 2022 16:32:48: Epoch [7/25], Step [800/1289], Loss: 0.0904
|
||||
Fri, 16 Sep 2022 16:32:48: Epoch [7/25], Step [850/1289], Loss: 0.0826
|
||||
Fri, 16 Sep 2022 16:32:48: Epoch [7/25], Step [900/1289], Loss: 0.0525
|
||||
Fri, 16 Sep 2022 16:32:48: Epoch [7/25], Step [950/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:32:48: Epoch [7/25], Step [1000/1289], Loss: 0.0451
|
||||
Fri, 16 Sep 2022 16:32:49: Epoch [7/25], Step [1050/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:32:49: Epoch [7/25], Step [1100/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 16:32:49: Epoch [7/25], Step [1150/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:32:49: Epoch [7/25], Step [1200/1289], Loss: 0.0837
|
||||
Fri, 16 Sep 2022 16:32:49: Epoch [7/25], Step [1250/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 16:32:50: Epoch [8/25], Step [50/1289], Loss: 0.1540
|
||||
Fri, 16 Sep 2022 16:32:50: Epoch [8/25], Step [100/1289], Loss: 0.0478
|
||||
Fri, 16 Sep 2022 16:32:50: Epoch [8/25], Step [150/1289], Loss: 0.1461
|
||||
Fri, 16 Sep 2022 16:32:50: Epoch [8/25], Step [200/1289], Loss: 0.1535
|
||||
Fri, 16 Sep 2022 16:32:50: Epoch [8/25], Step [250/1289], Loss: 0.0988
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [300/1289], Loss: 0.0926
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [350/1289], Loss: 0.1414
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [400/1289], Loss: 0.0309
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [450/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [500/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 16:32:51: Epoch [8/25], Step [550/1289], Loss: 0.0427
|
||||
Fri, 16 Sep 2022 16:32:52: Epoch [8/25], Step [600/1289], Loss: 0.1013
|
||||
Fri, 16 Sep 2022 16:32:52: Epoch [8/25], Step [650/1289], Loss: 0.0382
|
||||
Fri, 16 Sep 2022 16:32:52: Epoch [8/25], Step [700/1289], Loss: 0.1325
|
||||
Fri, 16 Sep 2022 16:32:52: Epoch [8/25], Step [750/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:32:52: Epoch [8/25], Step [800/1289], Loss: 0.1394
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [850/1289], Loss: 0.0702
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [900/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [950/1289], Loss: 0.0733
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [1000/1289], Loss: 0.0414
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [1050/1289], Loss: 0.1212
|
||||
Fri, 16 Sep 2022 16:32:53: Epoch [8/25], Step [1100/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:32:54: Epoch [8/25], Step [1150/1289], Loss: 0.0510
|
||||
Fri, 16 Sep 2022 16:32:54: Epoch [8/25], Step [1200/1289], Loss: 0.0857
|
||||
Fri, 16 Sep 2022 16:32:54: Epoch [8/25], Step [1250/1289], Loss: 0.0324
|
||||
Fri, 16 Sep 2022 16:32:54: Epoch [9/25], Step [50/1289], Loss: 0.0843
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [100/1289], Loss: 0.0674
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [150/1289], Loss: 0.0761
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [200/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [250/1289], Loss: 0.0985
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [300/1289], Loss: 0.1165
|
||||
Fri, 16 Sep 2022 16:32:55: Epoch [9/25], Step [350/1289], Loss: 0.0280
|
||||
Fri, 16 Sep 2022 16:32:56: Epoch [9/25], Step [400/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:32:56: Epoch [9/25], Step [450/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 16:32:56: Epoch [9/25], Step [500/1289], Loss: 0.0667
|
||||
Fri, 16 Sep 2022 16:32:56: Epoch [9/25], Step [550/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:32:56: Epoch [9/25], Step [600/1289], Loss: 0.0915
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [650/1289], Loss: 0.0699
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [700/1289], Loss: 0.0818
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [750/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [800/1289], Loss: 0.0567
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [850/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:32:57: Epoch [9/25], Step [900/1289], Loss: 0.0379
|
||||
Fri, 16 Sep 2022 16:32:58: Epoch [9/25], Step [950/1289], Loss: 0.0335
|
||||
Fri, 16 Sep 2022 16:32:58: Epoch [9/25], Step [1000/1289], Loss: 0.1134
|
||||
Fri, 16 Sep 2022 16:32:58: Epoch [9/25], Step [1050/1289], Loss: 0.0967
|
||||
Fri, 16 Sep 2022 16:32:58: Epoch [9/25], Step [1100/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 16:32:58: Epoch [9/25], Step [1150/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:32:59: Epoch [9/25], Step [1200/1289], Loss: 0.1478
|
||||
Fri, 16 Sep 2022 16:32:59: Epoch [9/25], Step [1250/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 16:32:59: Epoch [10/25], Step [50/1289], Loss: 0.1178
|
||||
Fri, 16 Sep 2022 16:32:59: Epoch [10/25], Step [100/1289], Loss: 0.0403
|
||||
Fri, 16 Sep 2022 16:32:59: Epoch [10/25], Step [150/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:33:00: Epoch [10/25], Step [200/1289], Loss: 0.1600
|
||||
Fri, 16 Sep 2022 16:33:00: Epoch [10/25], Step [250/1289], Loss: 0.0346
|
||||
Fri, 16 Sep 2022 16:33:00: Epoch [10/25], Step [300/1289], Loss: 0.0173
|
||||
Fri, 16 Sep 2022 16:33:00: Epoch [10/25], Step [350/1289], Loss: 0.1019
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [400/1289], Loss: 0.0466
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [450/1289], Loss: 0.1095
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [500/1289], Loss: 0.0572
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [550/1289], Loss: 0.1138
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [600/1289], Loss: 0.1337
|
||||
Fri, 16 Sep 2022 16:33:01: Epoch [10/25], Step [650/1289], Loss: 0.1249
|
||||
Fri, 16 Sep 2022 16:33:02: Epoch [10/25], Step [700/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 16:33:02: Epoch [10/25], Step [750/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:33:02: Epoch [10/25], Step [800/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:33:02: Epoch [10/25], Step [850/1289], Loss: 0.1294
|
||||
Fri, 16 Sep 2022 16:33:02: Epoch [10/25], Step [900/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [950/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [1000/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [1050/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [1100/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [1150/1289], Loss: 0.1504
|
||||
Fri, 16 Sep 2022 16:33:03: Epoch [10/25], Step [1200/1289], Loss: 0.0528
|
||||
Fri, 16 Sep 2022 16:33:04: Epoch [10/25], Step [1250/1289], Loss: 0.0425
|
||||
Fri, 16 Sep 2022 16:33:04: Epoch [11/25], Step [50/1289], Loss: 0.0698
|
||||
Fri, 16 Sep 2022 16:33:04: Epoch [11/25], Step [100/1289], Loss: 0.0785
|
||||
Fri, 16 Sep 2022 16:33:04: Epoch [11/25], Step [150/1289], Loss: 0.0322
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [200/1289], Loss: 0.1591
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [250/1289], Loss: 0.1191
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [300/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [350/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [400/1289], Loss: 0.0760
|
||||
Fri, 16 Sep 2022 16:33:05: Epoch [11/25], Step [450/1289], Loss: 0.1133
|
||||
Fri, 16 Sep 2022 16:33:06: Epoch [11/25], Step [500/1289], Loss: 0.1242
|
||||
Fri, 16 Sep 2022 16:33:06: Epoch [11/25], Step [550/1289], Loss: 0.0866
|
||||
Fri, 16 Sep 2022 16:33:06: Epoch [11/25], Step [600/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 16:33:06: Epoch [11/25], Step [650/1289], Loss: 0.1248
|
||||
Fri, 16 Sep 2022 16:33:06: Epoch [11/25], Step [700/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 16:33:07: Epoch [11/25], Step [750/1289], Loss: 0.1189
|
||||
Fri, 16 Sep 2022 16:33:07: Epoch [11/25], Step [800/1289], Loss: 0.0657
|
||||
Fri, 16 Sep 2022 16:33:07: Epoch [11/25], Step [850/1289], Loss: 0.0563
|
||||
Fri, 16 Sep 2022 16:33:07: Epoch [11/25], Step [900/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 16:33:07: Epoch [11/25], Step [950/1289], Loss: 0.0951
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1000/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1050/1289], Loss: 0.0309
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1100/1289], Loss: 0.0215
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1150/1289], Loss: 0.0561
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1200/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:33:08: Epoch [11/25], Step [1250/1289], Loss: 0.0249
|
||||
Fri, 16 Sep 2022 16:33:09: Epoch [12/25], Step [50/1289], Loss: 0.0358
|
||||
Fri, 16 Sep 2022 16:33:09: Epoch [12/25], Step [100/1289], Loss: 0.0815
|
||||
Fri, 16 Sep 2022 16:33:09: Epoch [12/25], Step [150/1289], Loss: 0.0474
|
||||
Fri, 16 Sep 2022 16:33:09: Epoch [12/25], Step [200/1289], Loss: 0.0335
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [250/1289], Loss: 0.0655
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [300/1289], Loss: 0.1155
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [350/1289], Loss: 0.0600
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [400/1289], Loss: 0.0076
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [450/1289], Loss: 0.1047
|
||||
Fri, 16 Sep 2022 16:33:10: Epoch [12/25], Step [500/1289], Loss: 0.0469
|
||||
Fri, 16 Sep 2022 16:33:11: Epoch [12/25], Step [550/1289], Loss: 0.0641
|
||||
Fri, 16 Sep 2022 16:33:11: Epoch [12/25], Step [600/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:33:11: Epoch [12/25], Step [650/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:33:11: Epoch [12/25], Step [700/1289], Loss: 0.0770
|
||||
Fri, 16 Sep 2022 16:33:11: Epoch [12/25], Step [750/1289], Loss: 0.0976
|
||||
Fri, 16 Sep 2022 16:33:12: Epoch [12/25], Step [800/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 16:33:12: Epoch [12/25], Step [850/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:33:12: Epoch [12/25], Step [900/1289], Loss: 0.0968
|
||||
Fri, 16 Sep 2022 16:33:12: Epoch [12/25], Step [950/1289], Loss: 0.0652
|
||||
Fri, 16 Sep 2022 16:33:12: Epoch [12/25], Step [1000/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:33:13: Epoch [12/25], Step [1050/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 16:33:13: Epoch [12/25], Step [1100/1289], Loss: 0.0488
|
||||
Fri, 16 Sep 2022 16:33:13: Epoch [12/25], Step [1150/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:33:13: Epoch [12/25], Step [1200/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 16:33:13: Epoch [12/25], Step [1250/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:33:14: Epoch [13/25], Step [50/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 16:33:14: Epoch [13/25], Step [100/1289], Loss: 0.1175
|
||||
Fri, 16 Sep 2022 16:33:14: Epoch [13/25], Step [150/1289], Loss: 0.0724
|
||||
Fri, 16 Sep 2022 16:33:14: Epoch [13/25], Step [200/1289], Loss: 0.0835
|
||||
Fri, 16 Sep 2022 16:33:14: Epoch [13/25], Step [250/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 16:33:15: Epoch [13/25], Step [300/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:33:15: Epoch [13/25], Step [350/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 16:33:15: Epoch [13/25], Step [400/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:33:15: Epoch [13/25], Step [450/1289], Loss: 0.0610
|
||||
Fri, 16 Sep 2022 16:33:15: Epoch [13/25], Step [500/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [550/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [600/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [650/1289], Loss: 0.0922
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [700/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [750/1289], Loss: 0.0799
|
||||
Fri, 16 Sep 2022 16:33:16: Epoch [13/25], Step [800/1289], Loss: 0.1951
|
||||
Fri, 16 Sep 2022 16:33:17: Epoch [13/25], Step [850/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 16:33:17: Epoch [13/25], Step [900/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:33:17: Epoch [13/25], Step [950/1289], Loss: 0.0589
|
||||
Fri, 16 Sep 2022 16:33:17: Epoch [13/25], Step [1000/1289], Loss: 0.0231
|
||||
Fri, 16 Sep 2022 16:33:17: Epoch [13/25], Step [1050/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:33:18: Epoch [13/25], Step [1100/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:33:18: Epoch [13/25], Step [1150/1289], Loss: 0.0594
|
||||
Fri, 16 Sep 2022 16:33:18: Epoch [13/25], Step [1200/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 16:33:18: Epoch [13/25], Step [1250/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [50/1289], Loss: 0.0331
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [100/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [150/1289], Loss: 0.0630
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [200/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [250/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:33:19: Epoch [14/25], Step [300/1289], Loss: 0.0446
|
||||
Fri, 16 Sep 2022 16:33:20: Epoch [14/25], Step [350/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:33:20: Epoch [14/25], Step [400/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:33:20: Epoch [14/25], Step [450/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 16:33:20: Epoch [14/25], Step [500/1289], Loss: 0.0379
|
||||
Fri, 16 Sep 2022 16:33:20: Epoch [14/25], Step [550/1289], Loss: 0.0567
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [600/1289], Loss: 0.0993
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [650/1289], Loss: 0.1037
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [700/1289], Loss: 0.1408
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [750/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [800/1289], Loss: 0.1087
|
||||
Fri, 16 Sep 2022 16:33:21: Epoch [14/25], Step [850/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 16:33:22: Epoch [14/25], Step [900/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:33:22: Epoch [14/25], Step [950/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 16:33:22: Epoch [14/25], Step [1000/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:33:22: Epoch [14/25], Step [1050/1289], Loss: 0.0851
|
||||
Fri, 16 Sep 2022 16:33:22: Epoch [14/25], Step [1100/1289], Loss: 0.0381
|
||||
Fri, 16 Sep 2022 16:33:23: Epoch [14/25], Step [1150/1289], Loss: 0.1142
|
||||
Fri, 16 Sep 2022 16:33:23: Epoch [14/25], Step [1200/1289], Loss: 0.0403
|
||||
Fri, 16 Sep 2022 16:33:23: Epoch [14/25], Step [1250/1289], Loss: 0.1043
|
||||
Fri, 16 Sep 2022 16:33:23: Epoch [15/25], Step [50/1289], Loss: 0.0799
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [100/1289], Loss: 0.0286
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [150/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [200/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [250/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [300/1289], Loss: 0.0180
|
||||
Fri, 16 Sep 2022 16:33:24: Epoch [15/25], Step [350/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 16:33:25: Epoch [15/25], Step [400/1289], Loss: 0.0655
|
||||
Fri, 16 Sep 2022 16:33:25: Epoch [15/25], Step [450/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:33:25: Epoch [15/25], Step [500/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 16:33:25: Epoch [15/25], Step [550/1289], Loss: 0.0032
|
||||
Fri, 16 Sep 2022 16:33:25: Epoch [15/25], Step [600/1289], Loss: 0.0331
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [650/1289], Loss: 0.0455
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [700/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [750/1289], Loss: 0.0412
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [800/1289], Loss: 0.0369
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [850/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:33:26: Epoch [15/25], Step [900/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 16:33:27: Epoch [15/25], Step [950/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 16:33:27: Epoch [15/25], Step [1000/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 16:33:27: Epoch [15/25], Step [1050/1289], Loss: 0.0260
|
||||
Fri, 16 Sep 2022 16:33:27: Epoch [15/25], Step [1100/1289], Loss: 0.0587
|
||||
Fri, 16 Sep 2022 16:33:27: Epoch [15/25], Step [1150/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:33:28: Epoch [15/25], Step [1200/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:33:28: Epoch [15/25], Step [1250/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:33:28: Epoch [16/25], Step [50/1289], Loss: 0.0893
|
||||
Fri, 16 Sep 2022 16:33:28: Epoch [16/25], Step [100/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [150/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [200/1289], Loss: 0.0680
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [250/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [300/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [350/1289], Loss: 0.0854
|
||||
Fri, 16 Sep 2022 16:33:29: Epoch [16/25], Step [400/1289], Loss: 0.0069
|
||||
Fri, 16 Sep 2022 16:33:30: Epoch [16/25], Step [450/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 16:33:30: Epoch [16/25], Step [500/1289], Loss: 0.0766
|
||||
Fri, 16 Sep 2022 16:33:30: Epoch [16/25], Step [550/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:33:30: Epoch [16/25], Step [600/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 16:33:31: Epoch [16/25], Step [650/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:33:31: Epoch [16/25], Step [700/1289], Loss: 0.0999
|
||||
Fri, 16 Sep 2022 16:33:31: Epoch [16/25], Step [750/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 16:33:31: Epoch [16/25], Step [800/1289], Loss: 0.0783
|
||||
Fri, 16 Sep 2022 16:33:31: Epoch [16/25], Step [850/1289], Loss: 0.0467
|
||||
Fri, 16 Sep 2022 16:33:32: Epoch [16/25], Step [900/1289], Loss: 0.0669
|
||||
Fri, 16 Sep 2022 16:33:32: Epoch [16/25], Step [950/1289], Loss: 0.0559
|
||||
Fri, 16 Sep 2022 16:33:32: Epoch [16/25], Step [1000/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 16:33:32: Epoch [16/25], Step [1050/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:33:32: Epoch [16/25], Step [1100/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:33:33: Epoch [16/25], Step [1150/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:33:33: Epoch [16/25], Step [1200/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:33:33: Epoch [16/25], Step [1250/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:33:33: Epoch [17/25], Step [50/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 16:33:33: Epoch [17/25], Step [100/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 16:33:34: Epoch [17/25], Step [150/1289], Loss: 0.0209
|
||||
Fri, 16 Sep 2022 16:33:34: Epoch [17/25], Step [200/1289], Loss: 0.0937
|
||||
Fri, 16 Sep 2022 16:33:34: Epoch [17/25], Step [250/1289], Loss: 0.0910
|
||||
Fri, 16 Sep 2022 16:33:34: Epoch [17/25], Step [300/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:33:34: Epoch [17/25], Step [350/1289], Loss: 0.0390
|
||||
Fri, 16 Sep 2022 16:33:35: Epoch [17/25], Step [400/1289], Loss: 0.1023
|
||||
Fri, 16 Sep 2022 16:33:35: Epoch [17/25], Step [450/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 16:33:35: Epoch [17/25], Step [500/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 16:33:35: Epoch [17/25], Step [550/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:33:35: Epoch [17/25], Step [600/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 16:33:36: Epoch [17/25], Step [650/1289], Loss: 0.0510
|
||||
Fri, 16 Sep 2022 16:33:36: Epoch [17/25], Step [700/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:33:36: Epoch [17/25], Step [750/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:33:36: Epoch [17/25], Step [800/1289], Loss: 0.0092
|
||||
Fri, 16 Sep 2022 16:33:36: Epoch [17/25], Step [850/1289], Loss: 0.0376
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [900/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [950/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [1000/1289], Loss: 0.0423
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [1050/1289], Loss: 0.0626
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [1100/1289], Loss: 0.0258
|
||||
Fri, 16 Sep 2022 16:33:37: Epoch [17/25], Step [1150/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:33:38: Epoch [17/25], Step [1200/1289], Loss: 0.0734
|
||||
Fri, 16 Sep 2022 16:33:38: Epoch [17/25], Step [1250/1289], Loss: 0.0826
|
||||
Fri, 16 Sep 2022 16:33:38: Epoch [18/25], Step [50/1289], Loss: 0.0559
|
||||
Fri, 16 Sep 2022 16:33:38: Epoch [18/25], Step [100/1289], Loss: 0.0354
|
||||
Fri, 16 Sep 2022 16:33:39: Epoch [18/25], Step [150/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:33:39: Epoch [18/25], Step [200/1289], Loss: 0.0157
|
||||
Fri, 16 Sep 2022 16:33:39: Epoch [18/25], Step [250/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 16:33:39: Epoch [18/25], Step [300/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 16:33:39: Epoch [18/25], Step [350/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [400/1289], Loss: 0.0031
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [450/1289], Loss: 0.0188
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [500/1289], Loss: 0.0512
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [550/1289], Loss: 0.0760
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [600/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 16:33:40: Epoch [18/25], Step [650/1289], Loss: 0.0234
|
||||
Fri, 16 Sep 2022 16:33:41: Epoch [18/25], Step [700/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 16:33:41: Epoch [18/25], Step [750/1289], Loss: 0.0578
|
||||
Fri, 16 Sep 2022 16:33:41: Epoch [18/25], Step [800/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 16:33:41: Epoch [18/25], Step [850/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:33:41: Epoch [18/25], Step [900/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:33:42: Epoch [18/25], Step [950/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:33:42: Epoch [18/25], Step [1000/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:33:42: Epoch [18/25], Step [1050/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 16:33:42: Epoch [18/25], Step [1100/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:33:42: Epoch [18/25], Step [1150/1289], Loss: 0.0423
|
||||
Fri, 16 Sep 2022 16:33:43: Epoch [18/25], Step [1200/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:33:43: Epoch [18/25], Step [1250/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:33:43: Epoch [19/25], Step [50/1289], Loss: 0.0592
|
||||
Fri, 16 Sep 2022 16:33:43: Epoch [19/25], Step [100/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [150/1289], Loss: 0.0347
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [200/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [250/1289], Loss: 0.0770
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [300/1289], Loss: 0.0860
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [350/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 16:33:44: Epoch [19/25], Step [400/1289], Loss: 0.0212
|
||||
Fri, 16 Sep 2022 16:33:45: Epoch [19/25], Step [450/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:33:45: Epoch [19/25], Step [500/1289], Loss: 0.1096
|
||||
Fri, 16 Sep 2022 16:33:45: Epoch [19/25], Step [550/1289], Loss: 0.0343
|
||||
Fri, 16 Sep 2022 16:33:45: Epoch [19/25], Step [600/1289], Loss: 0.0770
|
||||
Fri, 16 Sep 2022 16:33:45: Epoch [19/25], Step [650/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:33:46: Epoch [19/25], Step [700/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:33:46: Epoch [19/25], Step [750/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 16:33:46: Epoch [19/25], Step [800/1289], Loss: 0.0746
|
||||
Fri, 16 Sep 2022 16:33:46: Epoch [19/25], Step [850/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 16:33:46: Epoch [19/25], Step [900/1289], Loss: 0.0852
|
||||
Fri, 16 Sep 2022 16:33:47: Epoch [19/25], Step [950/1289], Loss: 0.1080
|
||||
Fri, 16 Sep 2022 16:33:47: Epoch [19/25], Step [1000/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 16:33:47: Epoch [19/25], Step [1050/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:33:47: Epoch [19/25], Step [1100/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 16:33:47: Epoch [19/25], Step [1150/1289], Loss: 0.1327
|
||||
Fri, 16 Sep 2022 16:33:48: Epoch [19/25], Step [1200/1289], Loss: 0.0192
|
||||
Fri, 16 Sep 2022 16:33:48: Epoch [19/25], Step [1250/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 16:33:48: Epoch [20/25], Step [50/1289], Loss: 0.0455
|
||||
Fri, 16 Sep 2022 16:33:48: Epoch [20/25], Step [100/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:33:49: Epoch [20/25], Step [150/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:33:49: Epoch [20/25], Step [200/1289], Loss: 0.0862
|
||||
Fri, 16 Sep 2022 16:33:49: Epoch [20/25], Step [250/1289], Loss: 0.1001
|
||||
Fri, 16 Sep 2022 16:33:49: Epoch [20/25], Step [300/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:33:49: Epoch [20/25], Step [350/1289], Loss: 0.0050
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [400/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [450/1289], Loss: 0.0660
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [500/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [550/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [600/1289], Loss: 0.0244
|
||||
Fri, 16 Sep 2022 16:33:50: Epoch [20/25], Step [650/1289], Loss: 0.0038
|
||||
Fri, 16 Sep 2022 16:33:51: Epoch [20/25], Step [700/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 16:33:51: Epoch [20/25], Step [750/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:33:51: Epoch [20/25], Step [800/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:33:51: Epoch [20/25], Step [850/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:33:51: Epoch [20/25], Step [900/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:33:52: Epoch [20/25], Step [950/1289], Loss: 0.0306
|
||||
Fri, 16 Sep 2022 16:33:52: Epoch [20/25], Step [1000/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 16:33:52: Epoch [20/25], Step [1050/1289], Loss: 0.0151
|
||||
Fri, 16 Sep 2022 16:33:52: Epoch [20/25], Step [1100/1289], Loss: 0.0085
|
||||
Fri, 16 Sep 2022 16:33:52: Epoch [20/25], Step [1150/1289], Loss: 0.0133
|
||||
Fri, 16 Sep 2022 16:33:53: Epoch [20/25], Step [1200/1289], Loss: 0.0179
|
||||
Fri, 16 Sep 2022 16:33:53: Epoch [20/25], Step [1250/1289], Loss: 0.0746
|
||||
Fri, 16 Sep 2022 16:33:53: Epoch [21/25], Step [50/1289], Loss: 0.0849
|
||||
Fri, 16 Sep 2022 16:33:53: Epoch [21/25], Step [100/1289], Loss: 0.0422
|
||||
Fri, 16 Sep 2022 16:33:53: Epoch [21/25], Step [150/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:33:54: Epoch [21/25], Step [200/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:33:54: Epoch [21/25], Step [250/1289], Loss: 0.0087
|
||||
Fri, 16 Sep 2022 16:33:54: Epoch [21/25], Step [300/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:33:54: Epoch [21/25], Step [350/1289], Loss: 0.1280
|
||||
Fri, 16 Sep 2022 16:33:54: Epoch [21/25], Step [400/1289], Loss: 0.0588
|
||||
Fri, 16 Sep 2022 16:33:55: Epoch [21/25], Step [450/1289], Loss: 0.0251
|
||||
Fri, 16 Sep 2022 16:33:55: Epoch [21/25], Step [500/1289], Loss: 0.1009
|
||||
Fri, 16 Sep 2022 16:33:55: Epoch [21/25], Step [550/1289], Loss: 0.0872
|
||||
Fri, 16 Sep 2022 16:33:55: Epoch [21/25], Step [600/1289], Loss: 0.0420
|
||||
Fri, 16 Sep 2022 16:33:55: Epoch [21/25], Step [650/1289], Loss: 0.0212
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [700/1289], Loss: 0.0769
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [750/1289], Loss: 0.0472
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [800/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [850/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [900/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 16:33:56: Epoch [21/25], Step [950/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:33:57: Epoch [21/25], Step [1000/1289], Loss: 0.0879
|
||||
Fri, 16 Sep 2022 16:33:57: Epoch [21/25], Step [1050/1289], Loss: 0.0322
|
||||
Fri, 16 Sep 2022 16:33:57: Epoch [21/25], Step [1100/1289], Loss: 0.0887
|
||||
Fri, 16 Sep 2022 16:33:57: Epoch [21/25], Step [1150/1289], Loss: 0.0155
|
||||
Fri, 16 Sep 2022 16:33:57: Epoch [21/25], Step [1200/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:33:58: Epoch [21/25], Step [1250/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 16:33:58: Epoch [22/25], Step [50/1289], Loss: 0.0092
|
||||
Fri, 16 Sep 2022 16:33:58: Epoch [22/25], Step [100/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 16:33:58: Epoch [22/25], Step [150/1289], Loss: 0.0155
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [200/1289], Loss: 0.0685
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [250/1289], Loss: 0.0164
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [300/1289], Loss: 0.0754
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [350/1289], Loss: 0.1056
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [400/1289], Loss: 0.0255
|
||||
Fri, 16 Sep 2022 16:33:59: Epoch [22/25], Step [450/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:34:00: Epoch [22/25], Step [500/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:34:00: Epoch [22/25], Step [550/1289], Loss: 0.0283
|
||||
Fri, 16 Sep 2022 16:34:00: Epoch [22/25], Step [600/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:34:00: Epoch [22/25], Step [650/1289], Loss: 0.0491
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [700/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [750/1289], Loss: 0.0910
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [800/1289], Loss: 0.0296
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [850/1289], Loss: 0.0695
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [900/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 16:34:01: Epoch [22/25], Step [950/1289], Loss: 0.0217
|
||||
Fri, 16 Sep 2022 16:34:02: Epoch [22/25], Step [1000/1289], Loss: 0.0145
|
||||
Fri, 16 Sep 2022 16:34:02: Epoch [22/25], Step [1050/1289], Loss: 0.0281
|
||||
Fri, 16 Sep 2022 16:34:02: Epoch [22/25], Step [1100/1289], Loss: 0.0809
|
||||
Fri, 16 Sep 2022 16:34:02: Epoch [22/25], Step [1150/1289], Loss: 0.0209
|
||||
Fri, 16 Sep 2022 16:34:02: Epoch [22/25], Step [1200/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 16:34:03: Epoch [22/25], Step [1250/1289], Loss: 0.0504
|
||||
Fri, 16 Sep 2022 16:34:03: Epoch [23/25], Step [50/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 16:34:03: Epoch [23/25], Step [100/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:34:03: Epoch [23/25], Step [150/1289], Loss: 0.0398
|
||||
Fri, 16 Sep 2022 16:34:03: Epoch [23/25], Step [200/1289], Loss: 0.0095
|
||||
Fri, 16 Sep 2022 16:34:04: Epoch [23/25], Step [250/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 16:34:04: Epoch [23/25], Step [300/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:34:04: Epoch [23/25], Step [350/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:34:04: Epoch [23/25], Step [400/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 16:34:04: Epoch [23/25], Step [450/1289], Loss: 0.0065
|
||||
Fri, 16 Sep 2022 16:34:05: Epoch [23/25], Step [500/1289], Loss: 0.0094
|
||||
Fri, 16 Sep 2022 16:34:05: Epoch [23/25], Step [550/1289], Loss: 0.0457
|
||||
Fri, 16 Sep 2022 16:34:05: Epoch [23/25], Step [600/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 16:34:05: Epoch [23/25], Step [650/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:34:05: Epoch [23/25], Step [700/1289], Loss: 0.0902
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [750/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [800/1289], Loss: 0.0152
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [850/1289], Loss: 0.0688
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [900/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [950/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 16:34:06: Epoch [23/25], Step [1000/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:34:07: Epoch [23/25], Step [1050/1289], Loss: 0.0545
|
||||
Fri, 16 Sep 2022 16:34:07: Epoch [23/25], Step [1100/1289], Loss: 0.0192
|
||||
Fri, 16 Sep 2022 16:34:07: Epoch [23/25], Step [1150/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:34:07: Epoch [23/25], Step [1200/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:34:07: Epoch [23/25], Step [1250/1289], Loss: 0.1006
|
||||
Fri, 16 Sep 2022 16:34:08: Epoch [24/25], Step [50/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:34:08: Epoch [24/25], Step [100/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:34:08: Epoch [24/25], Step [150/1289], Loss: 0.0436
|
||||
Fri, 16 Sep 2022 16:34:08: Epoch [24/25], Step [200/1289], Loss: 0.0187
|
||||
Fri, 16 Sep 2022 16:34:09: Epoch [24/25], Step [250/1289], Loss: 0.0487
|
||||
Fri, 16 Sep 2022 16:34:09: Epoch [24/25], Step [300/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 16:34:09: Epoch [24/25], Step [350/1289], Loss: 0.0177
|
||||
Fri, 16 Sep 2022 16:34:09: Epoch [24/25], Step [400/1289], Loss: 0.0732
|
||||
Fri, 16 Sep 2022 16:34:09: Epoch [24/25], Step [450/1289], Loss: 0.0060
|
||||
Fri, 16 Sep 2022 16:34:10: Epoch [24/25], Step [500/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:34:10: Epoch [24/25], Step [550/1289], Loss: 0.0503
|
||||
Fri, 16 Sep 2022 16:34:10: Epoch [24/25], Step [600/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 16:34:10: Epoch [24/25], Step [650/1289], Loss: 0.0490
|
||||
Fri, 16 Sep 2022 16:34:10: Epoch [24/25], Step [700/1289], Loss: 0.0192
|
||||
Fri, 16 Sep 2022 16:34:11: Epoch [24/25], Step [750/1289], Loss: 0.0332
|
||||
Fri, 16 Sep 2022 16:34:11: Epoch [24/25], Step [800/1289], Loss: 0.0539
|
||||
Fri, 16 Sep 2022 16:34:11: Epoch [24/25], Step [850/1289], Loss: 0.0574
|
||||
Fri, 16 Sep 2022 16:34:11: Epoch [24/25], Step [900/1289], Loss: 0.0032
|
||||
Fri, 16 Sep 2022 16:34:11: Epoch [24/25], Step [950/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 16:34:12: Epoch [24/25], Step [1000/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 16:34:12: Epoch [24/25], Step [1050/1289], Loss: 0.0329
|
||||
Fri, 16 Sep 2022 16:34:12: Epoch [24/25], Step [1100/1289], Loss: 0.0105
|
||||
Fri, 16 Sep 2022 16:34:12: Epoch [24/25], Step [1150/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 16:34:12: Epoch [24/25], Step [1200/1289], Loss: 0.0157
|
||||
Fri, 16 Sep 2022 16:34:13: Epoch [24/25], Step [1250/1289], Loss: 0.0133
|
||||
Fri, 16 Sep 2022 16:34:13: Epoch [25/25], Step [50/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:34:13: Epoch [25/25], Step [100/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 16:34:13: Epoch [25/25], Step [150/1289], Loss: 0.1172
|
||||
Fri, 16 Sep 2022 16:34:14: Epoch [25/25], Step [200/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:34:14: Epoch [25/25], Step [250/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:34:14: Epoch [25/25], Step [300/1289], Loss: 0.0073
|
||||
Fri, 16 Sep 2022 16:34:14: Epoch [25/25], Step [350/1289], Loss: 0.0477
|
||||
Fri, 16 Sep 2022 16:34:14: Epoch [25/25], Step [400/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [450/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [500/1289], Loss: 0.1205
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [550/1289], Loss: 0.0327
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [600/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [650/1289], Loss: 0.0087
|
||||
Fri, 16 Sep 2022 16:34:15: Epoch [25/25], Step [700/1289], Loss: 0.0940
|
||||
Fri, 16 Sep 2022 16:34:16: Epoch [25/25], Step [750/1289], Loss: 0.0119
|
||||
Fri, 16 Sep 2022 16:34:16: Epoch [25/25], Step [800/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 16:34:16: Epoch [25/25], Step [850/1289], Loss: 0.0556
|
||||
Fri, 16 Sep 2022 16:34:16: Epoch [25/25], Step [900/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 16:34:16: Epoch [25/25], Step [950/1289], Loss: 0.0286
|
||||
Fri, 16 Sep 2022 16:34:17: Epoch [25/25], Step [1000/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:34:17: Epoch [25/25], Step [1050/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:34:17: Epoch [25/25], Step [1100/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 16:34:17: Epoch [25/25], Step [1150/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:34:17: Epoch [25/25], Step [1200/1289], Loss: 0.0760
|
||||
Fri, 16 Sep 2022 16:34:18: Epoch [25/25], Step [1250/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 16:34:18: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:34:18: f1 :0.9663587129659127
|
||||
Fri, 16 Sep 2022 16:34:18:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9475 0.9895 0.9680 16166
|
||||
1 0.9889 0.9448 0.9664 16053
|
||||
|
||||
accuracy 0.9672 32219
|
||||
macro avg 0.9682 0.9671 0.9672 32219
|
||||
weighted avg 0.9681 0.9672 0.9672 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:34:18:
|
||||
[[15996 170]
|
||||
[ 886 15167]]
|
||||
Fri, 16 Sep 2022 16:34:18: high_num,high_true,high_false:5599,5232,367
|
||||
Fri, 16 Sep 2022 16:34:18: low_num,low_true,low_false:10454,9935,519
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:03:09: -------------
|
||||
Fri, 16 Sep 2022 16:03:09: layers:(gru,fully connnected layer)-(1,3)
|
||||
Fri, 16 Sep 2022 16:03:09: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:03:09: model parameters - num_layers:1, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:03:09: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:03:09: reading csv file
|
||||
Fri, 16 Sep 2022 16:03:10: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:03:21: procols num: 31
|
||||
Fri, 16 Sep 2022 16:03:21: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:04:41: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:04:43: loader already prepared
|
||||
Fri, 16 Sep 2022 16:04:43: loader中(0:normal,1:high,2:low):Counter({0: 16029, 2: 10608, 1: 5582})
|
||||
Fri, 16 Sep 2022 16:04:44: start training
|
||||
Fri, 16 Sep 2022 16:04:44: Epoch [1/25], Step [50/1289], Loss: 0.4292
|
||||
Fri, 16 Sep 2022 16:04:45: Epoch [1/25], Step [100/1289], Loss: 0.5836
|
||||
Fri, 16 Sep 2022 16:04:45: Epoch [1/25], Step [150/1289], Loss: 0.3987
|
||||
Fri, 16 Sep 2022 16:04:45: Epoch [1/25], Step [200/1289], Loss: 0.3343
|
||||
Fri, 16 Sep 2022 16:04:45: Epoch [1/25], Step [250/1289], Loss: 0.3650
|
||||
Fri, 16 Sep 2022 16:04:45: Epoch [1/25], Step [300/1289], Loss: 0.3166
|
||||
Fri, 16 Sep 2022 16:04:46: Epoch [1/25], Step [350/1289], Loss: 0.3839
|
||||
Fri, 16 Sep 2022 16:04:46: Epoch [1/25], Step [400/1289], Loss: 0.2493
|
||||
Fri, 16 Sep 2022 16:04:46: Epoch [1/25], Step [450/1289], Loss: 0.2968
|
||||
Fri, 16 Sep 2022 16:04:46: Epoch [1/25], Step [500/1289], Loss: 0.2241
|
||||
Fri, 16 Sep 2022 16:04:46: Epoch [1/25], Step [550/1289], Loss: 0.3343
|
||||
Fri, 16 Sep 2022 16:04:47: Epoch [1/25], Step [600/1289], Loss: 0.2074
|
||||
Fri, 16 Sep 2022 16:04:47: Epoch [1/25], Step [650/1289], Loss: 0.2190
|
||||
Fri, 16 Sep 2022 16:04:47: Epoch [1/25], Step [700/1289], Loss: 0.3147
|
||||
Fri, 16 Sep 2022 16:04:47: Epoch [1/25], Step [750/1289], Loss: 0.2445
|
||||
Fri, 16 Sep 2022 16:04:47: Epoch [1/25], Step [800/1289], Loss: 0.2374
|
||||
Fri, 16 Sep 2022 16:04:48: Epoch [1/25], Step [850/1289], Loss: 0.2908
|
||||
Fri, 16 Sep 2022 16:04:48: Epoch [1/25], Step [900/1289], Loss: 0.1671
|
||||
Fri, 16 Sep 2022 16:04:48: Epoch [1/25], Step [950/1289], Loss: 0.2238
|
||||
Fri, 16 Sep 2022 16:04:48: Epoch [1/25], Step [1000/1289], Loss: 0.3194
|
||||
Fri, 16 Sep 2022 16:04:49: Epoch [1/25], Step [1050/1289], Loss: 0.2331
|
||||
Fri, 16 Sep 2022 16:04:49: Epoch [1/25], Step [1100/1289], Loss: 0.1190
|
||||
Fri, 16 Sep 2022 16:04:49: Epoch [1/25], Step [1150/1289], Loss: 0.1020
|
||||
Fri, 16 Sep 2022 16:04:49: Epoch [1/25], Step [1200/1289], Loss: 0.2681
|
||||
Fri, 16 Sep 2022 16:04:50: Epoch [1/25], Step [1250/1289], Loss: 0.1644
|
||||
Fri, 16 Sep 2022 16:04:50: Epoch [2/25], Step [50/1289], Loss: 0.2043
|
||||
Fri, 16 Sep 2022 16:04:50: Epoch [2/25], Step [100/1289], Loss: 0.1592
|
||||
Fri, 16 Sep 2022 16:04:50: Epoch [2/25], Step [150/1289], Loss: 0.2346
|
||||
Fri, 16 Sep 2022 16:04:51: Epoch [2/25], Step [200/1289], Loss: 0.0682
|
||||
Fri, 16 Sep 2022 16:04:51: Epoch [2/25], Step [250/1289], Loss: 0.2647
|
||||
Fri, 16 Sep 2022 16:04:51: Epoch [2/25], Step [300/1289], Loss: 0.1279
|
||||
Fri, 16 Sep 2022 16:04:51: Epoch [2/25], Step [350/1289], Loss: 0.2160
|
||||
Fri, 16 Sep 2022 16:04:51: Epoch [2/25], Step [400/1289], Loss: 0.1801
|
||||
Fri, 16 Sep 2022 16:04:52: Epoch [2/25], Step [450/1289], Loss: 0.1334
|
||||
Fri, 16 Sep 2022 16:04:52: Epoch [2/25], Step [500/1289], Loss: 0.1175
|
||||
Fri, 16 Sep 2022 16:04:52: Epoch [2/25], Step [550/1289], Loss: 0.1884
|
||||
Fri, 16 Sep 2022 16:04:52: Epoch [2/25], Step [600/1289], Loss: 0.1705
|
||||
Fri, 16 Sep 2022 16:04:52: Epoch [2/25], Step [650/1289], Loss: 0.2324
|
||||
Fri, 16 Sep 2022 16:04:53: Epoch [2/25], Step [700/1289], Loss: 0.2230
|
||||
Fri, 16 Sep 2022 16:04:53: Epoch [2/25], Step [750/1289], Loss: 0.1448
|
||||
Fri, 16 Sep 2022 16:04:53: Epoch [2/25], Step [800/1289], Loss: 0.1395
|
||||
Fri, 16 Sep 2022 16:04:53: Epoch [2/25], Step [850/1289], Loss: 0.1637
|
||||
Fri, 16 Sep 2022 16:04:53: Epoch [2/25], Step [900/1289], Loss: 0.0886
|
||||
Fri, 16 Sep 2022 16:04:54: Epoch [2/25], Step [950/1289], Loss: 0.1233
|
||||
Fri, 16 Sep 2022 16:04:54: Epoch [2/25], Step [1000/1289], Loss: 0.0519
|
||||
Fri, 16 Sep 2022 16:04:54: Epoch [2/25], Step [1050/1289], Loss: 0.1314
|
||||
Fri, 16 Sep 2022 16:04:54: Epoch [2/25], Step [1100/1289], Loss: 0.1261
|
||||
Fri, 16 Sep 2022 16:04:54: Epoch [2/25], Step [1150/1289], Loss: 0.1603
|
||||
Fri, 16 Sep 2022 16:04:55: Epoch [2/25], Step [1200/1289], Loss: 0.0924
|
||||
Fri, 16 Sep 2022 16:04:55: Epoch [2/25], Step [1250/1289], Loss: 0.0695
|
||||
Fri, 16 Sep 2022 16:04:55: Epoch [3/25], Step [50/1289], Loss: 0.1897
|
||||
Fri, 16 Sep 2022 16:04:55: Epoch [3/25], Step [100/1289], Loss: 0.1441
|
||||
Fri, 16 Sep 2022 16:04:56: Epoch [3/25], Step [150/1289], Loss: 0.0748
|
||||
Fri, 16 Sep 2022 16:04:56: Epoch [3/25], Step [200/1289], Loss: 0.0674
|
||||
Fri, 16 Sep 2022 16:04:56: Epoch [3/25], Step [250/1289], Loss: 0.0833
|
||||
Fri, 16 Sep 2022 16:04:56: Epoch [3/25], Step [300/1289], Loss: 0.1452
|
||||
Fri, 16 Sep 2022 16:04:57: Epoch [3/25], Step [350/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:04:57: Epoch [3/25], Step [400/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:04:57: Epoch [3/25], Step [450/1289], Loss: 0.1784
|
||||
Fri, 16 Sep 2022 16:04:57: Epoch [3/25], Step [500/1289], Loss: 0.1946
|
||||
Fri, 16 Sep 2022 16:04:57: Epoch [3/25], Step [550/1289], Loss: 0.0905
|
||||
Fri, 16 Sep 2022 16:04:58: Epoch [3/25], Step [600/1289], Loss: 0.1693
|
||||
Fri, 16 Sep 2022 16:04:58: Epoch [3/25], Step [650/1289], Loss: 0.1318
|
||||
Fri, 16 Sep 2022 16:04:58: Epoch [3/25], Step [700/1289], Loss: 0.1200
|
||||
Fri, 16 Sep 2022 16:04:58: Epoch [3/25], Step [750/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 16:04:58: Epoch [3/25], Step [800/1289], Loss: 0.2766
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [850/1289], Loss: 0.1224
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [900/1289], Loss: 0.1283
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [950/1289], Loss: 0.2329
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [1000/1289], Loss: 0.0649
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [1050/1289], Loss: 0.2289
|
||||
Fri, 16 Sep 2022 16:04:59: Epoch [3/25], Step [1100/1289], Loss: 0.1043
|
||||
Fri, 16 Sep 2022 16:05:00: Epoch [3/25], Step [1150/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:05:00: Epoch [3/25], Step [1200/1289], Loss: 0.1589
|
||||
Fri, 16 Sep 2022 16:05:00: Epoch [3/25], Step [1250/1289], Loss: 0.1256
|
||||
Fri, 16 Sep 2022 16:05:01: Epoch [4/25], Step [50/1289], Loss: 0.1555
|
||||
Fri, 16 Sep 2022 16:05:01: Epoch [4/25], Step [100/1289], Loss: 0.1904
|
||||
Fri, 16 Sep 2022 16:05:01: Epoch [4/25], Step [150/1289], Loss: 0.1283
|
||||
Fri, 16 Sep 2022 16:05:01: Epoch [4/25], Step [200/1289], Loss: 0.1287
|
||||
Fri, 16 Sep 2022 16:05:01: Epoch [4/25], Step [250/1289], Loss: 0.1214
|
||||
Fri, 16 Sep 2022 16:05:02: Epoch [4/25], Step [300/1289], Loss: 0.1343
|
||||
Fri, 16 Sep 2022 16:05:02: Epoch [4/25], Step [350/1289], Loss: 0.0653
|
||||
Fri, 16 Sep 2022 16:05:02: Epoch [4/25], Step [400/1289], Loss: 0.0748
|
||||
Fri, 16 Sep 2022 16:05:02: Epoch [4/25], Step [450/1289], Loss: 0.1092
|
||||
Fri, 16 Sep 2022 16:05:02: Epoch [4/25], Step [500/1289], Loss: 0.1006
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [550/1289], Loss: 0.1296
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [600/1289], Loss: 0.0712
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [650/1289], Loss: 0.1139
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [700/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [750/1289], Loss: 0.1232
|
||||
Fri, 16 Sep 2022 16:05:03: Epoch [4/25], Step [800/1289], Loss: 0.0660
|
||||
Fri, 16 Sep 2022 16:05:04: Epoch [4/25], Step [850/1289], Loss: 0.1393
|
||||
Fri, 16 Sep 2022 16:05:04: Epoch [4/25], Step [900/1289], Loss: 0.1259
|
||||
Fri, 16 Sep 2022 16:05:04: Epoch [4/25], Step [950/1289], Loss: 0.1202
|
||||
Fri, 16 Sep 2022 16:05:04: Epoch [4/25], Step [1000/1289], Loss: 0.2121
|
||||
Fri, 16 Sep 2022 16:05:04: Epoch [4/25], Step [1050/1289], Loss: 0.0492
|
||||
Fri, 16 Sep 2022 16:05:05: Epoch [4/25], Step [1100/1289], Loss: 0.1076
|
||||
Fri, 16 Sep 2022 16:05:05: Epoch [4/25], Step [1150/1289], Loss: 0.0254
|
||||
Fri, 16 Sep 2022 16:05:05: Epoch [4/25], Step [1200/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:05:05: Epoch [4/25], Step [1250/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 16:05:06: Epoch [5/25], Step [50/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 16:05:06: Epoch [5/25], Step [100/1289], Loss: 0.1639
|
||||
Fri, 16 Sep 2022 16:05:06: Epoch [5/25], Step [150/1289], Loss: 0.0366
|
||||
Fri, 16 Sep 2022 16:05:06: Epoch [5/25], Step [200/1289], Loss: 0.1082
|
||||
Fri, 16 Sep 2022 16:05:07: Epoch [5/25], Step [250/1289], Loss: 0.1785
|
||||
Fri, 16 Sep 2022 16:05:07: Epoch [5/25], Step [300/1289], Loss: 0.0481
|
||||
Fri, 16 Sep 2022 16:05:07: Epoch [5/25], Step [350/1289], Loss: 0.1568
|
||||
Fri, 16 Sep 2022 16:05:07: Epoch [5/25], Step [400/1289], Loss: 0.0907
|
||||
Fri, 16 Sep 2022 16:05:08: Epoch [5/25], Step [450/1289], Loss: 0.0442
|
||||
Fri, 16 Sep 2022 16:05:08: Epoch [5/25], Step [500/1289], Loss: 0.0518
|
||||
Fri, 16 Sep 2022 16:05:08: Epoch [5/25], Step [550/1289], Loss: 0.1358
|
||||
Fri, 16 Sep 2022 16:05:08: Epoch [5/25], Step [600/1289], Loss: 0.0857
|
||||
Fri, 16 Sep 2022 16:05:08: Epoch [5/25], Step [650/1289], Loss: 0.1300
|
||||
Fri, 16 Sep 2022 16:05:09: Epoch [5/25], Step [700/1289], Loss: 0.0971
|
||||
Fri, 16 Sep 2022 16:05:09: Epoch [5/25], Step [750/1289], Loss: 0.0946
|
||||
Fri, 16 Sep 2022 16:05:09: Epoch [5/25], Step [800/1289], Loss: 0.0386
|
||||
Fri, 16 Sep 2022 16:05:09: Epoch [5/25], Step [850/1289], Loss: 0.1205
|
||||
Fri, 16 Sep 2022 16:05:09: Epoch [5/25], Step [900/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 16:05:10: Epoch [5/25], Step [950/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 16:05:10: Epoch [5/25], Step [1000/1289], Loss: 0.0716
|
||||
Fri, 16 Sep 2022 16:05:10: Epoch [5/25], Step [1050/1289], Loss: 0.1471
|
||||
Fri, 16 Sep 2022 16:05:10: Epoch [5/25], Step [1100/1289], Loss: 0.1296
|
||||
Fri, 16 Sep 2022 16:05:11: Epoch [5/25], Step [1150/1289], Loss: 0.1568
|
||||
Fri, 16 Sep 2022 16:05:11: Epoch [5/25], Step [1200/1289], Loss: 0.1644
|
||||
Fri, 16 Sep 2022 16:05:11: Epoch [5/25], Step [1250/1289], Loss: 0.1366
|
||||
Fri, 16 Sep 2022 16:05:11: Epoch [6/25], Step [50/1289], Loss: 0.1206
|
||||
Fri, 16 Sep 2022 16:05:12: Epoch [6/25], Step [100/1289], Loss: 0.0877
|
||||
Fri, 16 Sep 2022 16:05:12: Epoch [6/25], Step [150/1289], Loss: 0.0510
|
||||
Fri, 16 Sep 2022 16:05:12: Epoch [6/25], Step [200/1289], Loss: 0.0671
|
||||
Fri, 16 Sep 2022 16:05:12: Epoch [6/25], Step [250/1289], Loss: 0.0563
|
||||
Fri, 16 Sep 2022 16:05:12: Epoch [6/25], Step [300/1289], Loss: 0.0843
|
||||
Fri, 16 Sep 2022 16:05:13: Epoch [6/25], Step [350/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:05:13: Epoch [6/25], Step [400/1289], Loss: 0.0856
|
||||
Fri, 16 Sep 2022 16:05:13: Epoch [6/25], Step [450/1289], Loss: 0.1189
|
||||
Fri, 16 Sep 2022 16:05:13: Epoch [6/25], Step [500/1289], Loss: 0.0798
|
||||
Fri, 16 Sep 2022 16:05:13: Epoch [6/25], Step [550/1289], Loss: 0.0189
|
||||
Fri, 16 Sep 2022 16:05:14: Epoch [6/25], Step [600/1289], Loss: 0.1049
|
||||
Fri, 16 Sep 2022 16:05:14: Epoch [6/25], Step [650/1289], Loss: 0.0803
|
||||
Fri, 16 Sep 2022 16:05:14: Epoch [6/25], Step [700/1289], Loss: 0.0966
|
||||
Fri, 16 Sep 2022 16:05:14: Epoch [6/25], Step [750/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 16:05:15: Epoch [6/25], Step [800/1289], Loss: 0.0332
|
||||
Fri, 16 Sep 2022 16:05:15: Epoch [6/25], Step [850/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 16:05:15: Epoch [6/25], Step [900/1289], Loss: 0.1012
|
||||
Fri, 16 Sep 2022 16:05:15: Epoch [6/25], Step [950/1289], Loss: 0.0663
|
||||
Fri, 16 Sep 2022 16:05:15: Epoch [6/25], Step [1000/1289], Loss: 0.1488
|
||||
Fri, 16 Sep 2022 16:05:16: Epoch [6/25], Step [1050/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 16:05:16: Epoch [6/25], Step [1100/1289], Loss: 0.1280
|
||||
Fri, 16 Sep 2022 16:05:16: Epoch [6/25], Step [1150/1289], Loss: 0.0112
|
||||
Fri, 16 Sep 2022 16:05:16: Epoch [6/25], Step [1200/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:05:16: Epoch [6/25], Step [1250/1289], Loss: 0.0993
|
||||
Fri, 16 Sep 2022 16:05:17: Epoch [7/25], Step [50/1289], Loss: 0.1197
|
||||
Fri, 16 Sep 2022 16:05:17: Epoch [7/25], Step [100/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 16:05:17: Epoch [7/25], Step [150/1289], Loss: 0.0793
|
||||
Fri, 16 Sep 2022 16:05:17: Epoch [7/25], Step [200/1289], Loss: 0.1681
|
||||
Fri, 16 Sep 2022 16:05:18: Epoch [7/25], Step [250/1289], Loss: 0.0792
|
||||
Fri, 16 Sep 2022 16:05:18: Epoch [7/25], Step [300/1289], Loss: 0.1320
|
||||
Fri, 16 Sep 2022 16:05:18: Epoch [7/25], Step [350/1289], Loss: 0.0334
|
||||
Fri, 16 Sep 2022 16:05:18: Epoch [7/25], Step [400/1289], Loss: 0.1505
|
||||
Fri, 16 Sep 2022 16:05:19: Epoch [7/25], Step [450/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:05:19: Epoch [7/25], Step [500/1289], Loss: 0.1810
|
||||
Fri, 16 Sep 2022 16:05:19: Epoch [7/25], Step [550/1289], Loss: 0.0863
|
||||
Fri, 16 Sep 2022 16:05:19: Epoch [7/25], Step [600/1289], Loss: 0.0487
|
||||
Fri, 16 Sep 2022 16:05:19: Epoch [7/25], Step [650/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 16:05:20: Epoch [7/25], Step [700/1289], Loss: 0.1313
|
||||
Fri, 16 Sep 2022 16:05:20: Epoch [7/25], Step [750/1289], Loss: 0.1054
|
||||
Fri, 16 Sep 2022 16:05:20: Epoch [7/25], Step [800/1289], Loss: 0.1037
|
||||
Fri, 16 Sep 2022 16:05:20: Epoch [7/25], Step [850/1289], Loss: 0.0588
|
||||
Fri, 16 Sep 2022 16:05:20: Epoch [7/25], Step [900/1289], Loss: 0.1583
|
||||
Fri, 16 Sep 2022 16:05:21: Epoch [7/25], Step [950/1289], Loss: 0.0481
|
||||
Fri, 16 Sep 2022 16:05:21: Epoch [7/25], Step [1000/1289], Loss: 0.0552
|
||||
Fri, 16 Sep 2022 16:05:21: Epoch [7/25], Step [1050/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:05:21: Epoch [7/25], Step [1100/1289], Loss: 0.1542
|
||||
Fri, 16 Sep 2022 16:05:22: Epoch [7/25], Step [1150/1289], Loss: 0.0806
|
||||
Fri, 16 Sep 2022 16:05:22: Epoch [7/25], Step [1200/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 16:05:22: Epoch [7/25], Step [1250/1289], Loss: 0.0579
|
||||
Fri, 16 Sep 2022 16:05:22: Epoch [8/25], Step [50/1289], Loss: 0.0810
|
||||
Fri, 16 Sep 2022 16:05:23: Epoch [8/25], Step [100/1289], Loss: 0.0401
|
||||
Fri, 16 Sep 2022 16:05:23: Epoch [8/25], Step [150/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:05:23: Epoch [8/25], Step [200/1289], Loss: 0.0981
|
||||
Fri, 16 Sep 2022 16:05:23: Epoch [8/25], Step [250/1289], Loss: 0.0707
|
||||
Fri, 16 Sep 2022 16:05:23: Epoch [8/25], Step [300/1289], Loss: 0.1435
|
||||
Fri, 16 Sep 2022 16:05:24: Epoch [8/25], Step [350/1289], Loss: 0.1104
|
||||
Fri, 16 Sep 2022 16:05:24: Epoch [8/25], Step [400/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:05:24: Epoch [8/25], Step [450/1289], Loss: 0.1792
|
||||
Fri, 16 Sep 2022 16:05:24: Epoch [8/25], Step [500/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:05:25: Epoch [8/25], Step [550/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 16:05:25: Epoch [8/25], Step [600/1289], Loss: 0.1087
|
||||
Fri, 16 Sep 2022 16:05:25: Epoch [8/25], Step [650/1289], Loss: 0.0158
|
||||
Fri, 16 Sep 2022 16:05:25: Epoch [8/25], Step [700/1289], Loss: 0.0603
|
||||
Fri, 16 Sep 2022 16:05:25: Epoch [8/25], Step [750/1289], Loss: 0.0249
|
||||
Fri, 16 Sep 2022 16:05:26: Epoch [8/25], Step [800/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 16:05:26: Epoch [8/25], Step [850/1289], Loss: 0.0693
|
||||
Fri, 16 Sep 2022 16:05:26: Epoch [8/25], Step [900/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:05:26: Epoch [8/25], Step [950/1289], Loss: 0.0585
|
||||
Fri, 16 Sep 2022 16:05:26: Epoch [8/25], Step [1000/1289], Loss: 0.0920
|
||||
Fri, 16 Sep 2022 16:05:27: Epoch [8/25], Step [1050/1289], Loss: 0.1038
|
||||
Fri, 16 Sep 2022 16:05:27: Epoch [8/25], Step [1100/1289], Loss: 0.0316
|
||||
Fri, 16 Sep 2022 16:05:27: Epoch [8/25], Step [1150/1289], Loss: 0.1114
|
||||
Fri, 16 Sep 2022 16:05:27: Epoch [8/25], Step [1200/1289], Loss: 0.0783
|
||||
Fri, 16 Sep 2022 16:05:28: Epoch [8/25], Step [1250/1289], Loss: 0.0507
|
||||
Fri, 16 Sep 2022 16:05:28: Epoch [9/25], Step [50/1289], Loss: 0.1066
|
||||
Fri, 16 Sep 2022 16:05:28: Epoch [9/25], Step [100/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:05:28: Epoch [9/25], Step [150/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:05:29: Epoch [9/25], Step [200/1289], Loss: 0.0204
|
||||
Fri, 16 Sep 2022 16:05:29: Epoch [9/25], Step [250/1289], Loss: 0.0795
|
||||
Fri, 16 Sep 2022 16:05:29: Epoch [9/25], Step [300/1289], Loss: 0.1014
|
||||
Fri, 16 Sep 2022 16:05:29: Epoch [9/25], Step [350/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:05:30: Epoch [9/25], Step [400/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 16:05:30: Epoch [9/25], Step [450/1289], Loss: 0.1130
|
||||
Fri, 16 Sep 2022 16:05:30: Epoch [9/25], Step [500/1289], Loss: 0.0861
|
||||
Fri, 16 Sep 2022 16:05:30: Epoch [9/25], Step [550/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:05:30: Epoch [9/25], Step [600/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 16:05:31: Epoch [9/25], Step [650/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 16:05:31: Epoch [9/25], Step [700/1289], Loss: 0.0831
|
||||
Fri, 16 Sep 2022 16:05:31: Epoch [9/25], Step [750/1289], Loss: 0.2052
|
||||
Fri, 16 Sep 2022 16:05:31: Epoch [9/25], Step [800/1289], Loss: 0.1202
|
||||
Fri, 16 Sep 2022 16:05:32: Epoch [9/25], Step [850/1289], Loss: 0.0395
|
||||
Fri, 16 Sep 2022 16:05:32: Epoch [9/25], Step [900/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 16:05:32: Epoch [9/25], Step [950/1289], Loss: 0.1104
|
||||
Fri, 16 Sep 2022 16:05:32: Epoch [9/25], Step [1000/1289], Loss: 0.1235
|
||||
Fri, 16 Sep 2022 16:05:32: Epoch [9/25], Step [1050/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 16:05:33: Epoch [9/25], Step [1100/1289], Loss: 0.0635
|
||||
Fri, 16 Sep 2022 16:05:33: Epoch [9/25], Step [1150/1289], Loss: 0.0918
|
||||
Fri, 16 Sep 2022 16:05:33: Epoch [9/25], Step [1200/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:05:33: Epoch [9/25], Step [1250/1289], Loss: 0.0809
|
||||
Fri, 16 Sep 2022 16:05:34: Epoch [10/25], Step [50/1289], Loss: 0.0896
|
||||
Fri, 16 Sep 2022 16:05:34: Epoch [10/25], Step [100/1289], Loss: 0.1147
|
||||
Fri, 16 Sep 2022 16:05:34: Epoch [10/25], Step [150/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 16:05:35: Epoch [10/25], Step [200/1289], Loss: 0.1163
|
||||
Fri, 16 Sep 2022 16:05:35: Epoch [10/25], Step [250/1289], Loss: 0.0877
|
||||
Fri, 16 Sep 2022 16:05:35: Epoch [10/25], Step [300/1289], Loss: 0.0315
|
||||
Fri, 16 Sep 2022 16:05:35: Epoch [10/25], Step [350/1289], Loss: 0.0232
|
||||
Fri, 16 Sep 2022 16:05:35: Epoch [10/25], Step [400/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:05:36: Epoch [10/25], Step [450/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 16:05:36: Epoch [10/25], Step [500/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:05:36: Epoch [10/25], Step [550/1289], Loss: 0.0793
|
||||
Fri, 16 Sep 2022 16:05:36: Epoch [10/25], Step [600/1289], Loss: 0.2405
|
||||
Fri, 16 Sep 2022 16:05:37: Epoch [10/25], Step [650/1289], Loss: 0.0183
|
||||
Fri, 16 Sep 2022 16:05:37: Epoch [10/25], Step [700/1289], Loss: 0.0965
|
||||
Fri, 16 Sep 2022 16:05:37: Epoch [10/25], Step [750/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 16:05:37: Epoch [10/25], Step [800/1289], Loss: 0.0481
|
||||
Fri, 16 Sep 2022 16:05:38: Epoch [10/25], Step [850/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:05:38: Epoch [10/25], Step [900/1289], Loss: 0.0522
|
||||
Fri, 16 Sep 2022 16:05:38: Epoch [10/25], Step [950/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:05:38: Epoch [10/25], Step [1000/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:05:38: Epoch [10/25], Step [1050/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 16:05:39: Epoch [10/25], Step [1100/1289], Loss: 0.0951
|
||||
Fri, 16 Sep 2022 16:05:39: Epoch [10/25], Step [1150/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 16:05:39: Epoch [10/25], Step [1200/1289], Loss: 0.1497
|
||||
Fri, 16 Sep 2022 16:05:39: Epoch [10/25], Step [1250/1289], Loss: 0.0476
|
||||
Fri, 16 Sep 2022 16:05:40: Epoch [11/25], Step [50/1289], Loss: 0.0640
|
||||
Fri, 16 Sep 2022 16:05:40: Epoch [11/25], Step [100/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 16:05:40: Epoch [11/25], Step [150/1289], Loss: 0.1025
|
||||
Fri, 16 Sep 2022 16:05:40: Epoch [11/25], Step [200/1289], Loss: 0.0648
|
||||
Fri, 16 Sep 2022 16:05:41: Epoch [11/25], Step [250/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:05:41: Epoch [11/25], Step [300/1289], Loss: 0.1216
|
||||
Fri, 16 Sep 2022 16:05:41: Epoch [11/25], Step [350/1289], Loss: 0.0891
|
||||
Fri, 16 Sep 2022 16:05:41: Epoch [11/25], Step [400/1289], Loss: 0.1556
|
||||
Fri, 16 Sep 2022 16:05:42: Epoch [11/25], Step [450/1289], Loss: 0.1153
|
||||
Fri, 16 Sep 2022 16:05:42: Epoch [11/25], Step [500/1289], Loss: 0.0593
|
||||
Fri, 16 Sep 2022 16:05:42: Epoch [11/25], Step [550/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:05:42: Epoch [11/25], Step [600/1289], Loss: 0.0732
|
||||
Fri, 16 Sep 2022 16:05:43: Epoch [11/25], Step [650/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 16:05:43: Epoch [11/25], Step [700/1289], Loss: 0.1623
|
||||
Fri, 16 Sep 2022 16:05:43: Epoch [11/25], Step [750/1289], Loss: 0.0724
|
||||
Fri, 16 Sep 2022 16:05:43: Epoch [11/25], Step [800/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:05:43: Epoch [11/25], Step [850/1289], Loss: 0.0542
|
||||
Fri, 16 Sep 2022 16:05:44: Epoch [11/25], Step [900/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 16:05:44: Epoch [11/25], Step [950/1289], Loss: 0.1229
|
||||
Fri, 16 Sep 2022 16:05:44: Epoch [11/25], Step [1000/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:05:44: Epoch [11/25], Step [1050/1289], Loss: 0.0201
|
||||
Fri, 16 Sep 2022 16:05:44: Epoch [11/25], Step [1100/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:05:45: Epoch [11/25], Step [1150/1289], Loss: 0.0591
|
||||
Fri, 16 Sep 2022 16:05:45: Epoch [11/25], Step [1200/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 16:05:45: Epoch [11/25], Step [1250/1289], Loss: 0.1156
|
||||
Fri, 16 Sep 2022 16:05:46: Epoch [12/25], Step [50/1289], Loss: 0.0368
|
||||
Fri, 16 Sep 2022 16:05:46: Epoch [12/25], Step [100/1289], Loss: 0.0551
|
||||
Fri, 16 Sep 2022 16:05:46: Epoch [12/25], Step [150/1289], Loss: 0.0840
|
||||
Fri, 16 Sep 2022 16:05:46: Epoch [12/25], Step [200/1289], Loss: 0.1691
|
||||
Fri, 16 Sep 2022 16:05:46: Epoch [12/25], Step [250/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 16:05:47: Epoch [12/25], Step [300/1289], Loss: 0.0487
|
||||
Fri, 16 Sep 2022 16:05:47: Epoch [12/25], Step [350/1289], Loss: 0.0459
|
||||
Fri, 16 Sep 2022 16:05:47: Epoch [12/25], Step [400/1289], Loss: 0.0949
|
||||
Fri, 16 Sep 2022 16:05:47: Epoch [12/25], Step [450/1289], Loss: 0.0501
|
||||
Fri, 16 Sep 2022 16:05:47: Epoch [12/25], Step [500/1289], Loss: 0.0862
|
||||
Fri, 16 Sep 2022 16:05:48: Epoch [12/25], Step [550/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:05:48: Epoch [12/25], Step [600/1289], Loss: 0.0757
|
||||
Fri, 16 Sep 2022 16:05:48: Epoch [12/25], Step [650/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:05:48: Epoch [12/25], Step [700/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 16:05:49: Epoch [12/25], Step [750/1289], Loss: 0.0636
|
||||
Fri, 16 Sep 2022 16:05:49: Epoch [12/25], Step [800/1289], Loss: 0.0633
|
||||
Fri, 16 Sep 2022 16:05:49: Epoch [12/25], Step [850/1289], Loss: 0.0737
|
||||
Fri, 16 Sep 2022 16:05:49: Epoch [12/25], Step [900/1289], Loss: 0.0903
|
||||
Fri, 16 Sep 2022 16:05:49: Epoch [12/25], Step [950/1289], Loss: 0.0254
|
||||
Fri, 16 Sep 2022 16:05:50: Epoch [12/25], Step [1000/1289], Loss: 0.0782
|
||||
Fri, 16 Sep 2022 16:05:50: Epoch [12/25], Step [1050/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:05:50: Epoch [12/25], Step [1100/1289], Loss: 0.1144
|
||||
Fri, 16 Sep 2022 16:05:50: Epoch [12/25], Step [1150/1289], Loss: 0.0367
|
||||
Fri, 16 Sep 2022 16:05:50: Epoch [12/25], Step [1200/1289], Loss: 0.0646
|
||||
Fri, 16 Sep 2022 16:05:51: Epoch [12/25], Step [1250/1289], Loss: 0.0462
|
||||
Fri, 16 Sep 2022 16:05:51: Epoch [13/25], Step [50/1289], Loss: 0.1122
|
||||
Fri, 16 Sep 2022 16:05:51: Epoch [13/25], Step [100/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:05:51: Epoch [13/25], Step [150/1289], Loss: 0.0764
|
||||
Fri, 16 Sep 2022 16:05:52: Epoch [13/25], Step [200/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 16:05:52: Epoch [13/25], Step [250/1289], Loss: 0.0626
|
||||
Fri, 16 Sep 2022 16:05:52: Epoch [13/25], Step [300/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:05:52: Epoch [13/25], Step [350/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:05:53: Epoch [13/25], Step [400/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 16:05:53: Epoch [13/25], Step [450/1289], Loss: 0.0530
|
||||
Fri, 16 Sep 2022 16:05:53: Epoch [13/25], Step [500/1289], Loss: 0.0170
|
||||
Fri, 16 Sep 2022 16:05:53: Epoch [13/25], Step [550/1289], Loss: 0.1607
|
||||
Fri, 16 Sep 2022 16:05:53: Epoch [13/25], Step [600/1289], Loss: 0.0685
|
||||
Fri, 16 Sep 2022 16:05:54: Epoch [13/25], Step [650/1289], Loss: 0.0539
|
||||
Fri, 16 Sep 2022 16:05:54: Epoch [13/25], Step [700/1289], Loss: 0.0958
|
||||
Fri, 16 Sep 2022 16:05:54: Epoch [13/25], Step [750/1289], Loss: 0.0884
|
||||
Fri, 16 Sep 2022 16:05:54: Epoch [13/25], Step [800/1289], Loss: 0.1152
|
||||
Fri, 16 Sep 2022 16:05:54: Epoch [13/25], Step [850/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:05:55: Epoch [13/25], Step [900/1289], Loss: 0.0962
|
||||
Fri, 16 Sep 2022 16:05:55: Epoch [13/25], Step [950/1289], Loss: 0.1030
|
||||
Fri, 16 Sep 2022 16:05:55: Epoch [13/25], Step [1000/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:05:55: Epoch [13/25], Step [1050/1289], Loss: 0.0662
|
||||
Fri, 16 Sep 2022 16:05:56: Epoch [13/25], Step [1100/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 16:05:56: Epoch [13/25], Step [1150/1289], Loss: 0.0466
|
||||
Fri, 16 Sep 2022 16:05:56: Epoch [13/25], Step [1200/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 16:05:56: Epoch [13/25], Step [1250/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:05:57: Epoch [14/25], Step [50/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 16:05:57: Epoch [14/25], Step [100/1289], Loss: 0.0218
|
||||
Fri, 16 Sep 2022 16:05:57: Epoch [14/25], Step [150/1289], Loss: 0.0986
|
||||
Fri, 16 Sep 2022 16:05:57: Epoch [14/25], Step [200/1289], Loss: 0.0691
|
||||
Fri, 16 Sep 2022 16:05:57: Epoch [14/25], Step [250/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 16:05:58: Epoch [14/25], Step [300/1289], Loss: 0.0563
|
||||
Fri, 16 Sep 2022 16:05:58: Epoch [14/25], Step [350/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:05:58: Epoch [14/25], Step [400/1289], Loss: 0.0451
|
||||
Fri, 16 Sep 2022 16:05:58: Epoch [14/25], Step [450/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 16:05:59: Epoch [14/25], Step [500/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:05:59: Epoch [14/25], Step [550/1289], Loss: 0.0761
|
||||
Fri, 16 Sep 2022 16:05:59: Epoch [14/25], Step [600/1289], Loss: 0.1351
|
||||
Fri, 16 Sep 2022 16:05:59: Epoch [14/25], Step [650/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 16:05:59: Epoch [14/25], Step [700/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 16:06:00: Epoch [14/25], Step [750/1289], Loss: 0.1124
|
||||
Fri, 16 Sep 2022 16:06:00: Epoch [14/25], Step [800/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 16:06:00: Epoch [14/25], Step [850/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:06:00: Epoch [14/25], Step [900/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:06:01: Epoch [14/25], Step [950/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:06:01: Epoch [14/25], Step [1000/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:06:01: Epoch [14/25], Step [1050/1289], Loss: 0.1546
|
||||
Fri, 16 Sep 2022 16:06:01: Epoch [14/25], Step [1100/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 16:06:01: Epoch [14/25], Step [1150/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 16:06:02: Epoch [14/25], Step [1200/1289], Loss: 0.0793
|
||||
Fri, 16 Sep 2022 16:06:02: Epoch [14/25], Step [1250/1289], Loss: 0.1696
|
||||
Fri, 16 Sep 2022 16:06:02: Epoch [15/25], Step [50/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 16:06:02: Epoch [15/25], Step [100/1289], Loss: 0.0173
|
||||
Fri, 16 Sep 2022 16:06:03: Epoch [15/25], Step [150/1289], Loss: 0.0785
|
||||
Fri, 16 Sep 2022 16:06:03: Epoch [15/25], Step [200/1289], Loss: 0.0972
|
||||
Fri, 16 Sep 2022 16:06:03: Epoch [15/25], Step [250/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 16:06:03: Epoch [15/25], Step [300/1289], Loss: 0.0319
|
||||
Fri, 16 Sep 2022 16:06:04: Epoch [15/25], Step [350/1289], Loss: 0.0969
|
||||
Fri, 16 Sep 2022 16:06:04: Epoch [15/25], Step [400/1289], Loss: 0.0692
|
||||
Fri, 16 Sep 2022 16:06:04: Epoch [15/25], Step [450/1289], Loss: 0.0916
|
||||
Fri, 16 Sep 2022 16:06:04: Epoch [15/25], Step [500/1289], Loss: 0.0528
|
||||
Fri, 16 Sep 2022 16:06:04: Epoch [15/25], Step [550/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 16:06:05: Epoch [15/25], Step [600/1289], Loss: 0.0347
|
||||
Fri, 16 Sep 2022 16:06:05: Epoch [15/25], Step [650/1289], Loss: 0.1381
|
||||
Fri, 16 Sep 2022 16:06:05: Epoch [15/25], Step [700/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:06:05: Epoch [15/25], Step [750/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 16:06:05: Epoch [15/25], Step [800/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:06:06: Epoch [15/25], Step [850/1289], Loss: 0.0615
|
||||
Fri, 16 Sep 2022 16:06:06: Epoch [15/25], Step [900/1289], Loss: 0.1213
|
||||
Fri, 16 Sep 2022 16:06:06: Epoch [15/25], Step [950/1289], Loss: 0.0891
|
||||
Fri, 16 Sep 2022 16:06:06: Epoch [15/25], Step [1000/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 16:06:07: Epoch [15/25], Step [1050/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 16:06:07: Epoch [15/25], Step [1100/1289], Loss: 0.0281
|
||||
Fri, 16 Sep 2022 16:06:07: Epoch [15/25], Step [1150/1289], Loss: 0.0859
|
||||
Fri, 16 Sep 2022 16:06:07: Epoch [15/25], Step [1200/1289], Loss: 0.0662
|
||||
Fri, 16 Sep 2022 16:06:07: Epoch [15/25], Step [1250/1289], Loss: 0.0923
|
||||
Fri, 16 Sep 2022 16:06:08: Epoch [16/25], Step [50/1289], Loss: 0.0101
|
||||
Fri, 16 Sep 2022 16:06:08: Epoch [16/25], Step [100/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 16:06:08: Epoch [16/25], Step [150/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 16:06:08: Epoch [16/25], Step [200/1289], Loss: 0.1232
|
||||
Fri, 16 Sep 2022 16:06:09: Epoch [16/25], Step [250/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:06:09: Epoch [16/25], Step [300/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:06:09: Epoch [16/25], Step [350/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:06:09: Epoch [16/25], Step [400/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:06:09: Epoch [16/25], Step [450/1289], Loss: 0.0863
|
||||
Fri, 16 Sep 2022 16:06:10: Epoch [16/25], Step [500/1289], Loss: 0.0065
|
||||
Fri, 16 Sep 2022 16:06:10: Epoch [16/25], Step [550/1289], Loss: 0.0815
|
||||
Fri, 16 Sep 2022 16:06:10: Epoch [16/25], Step [600/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 16:06:10: Epoch [16/25], Step [650/1289], Loss: 0.0905
|
||||
Fri, 16 Sep 2022 16:06:11: Epoch [16/25], Step [700/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 16:06:11: Epoch [16/25], Step [750/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 16:06:11: Epoch [16/25], Step [800/1289], Loss: 0.1144
|
||||
Fri, 16 Sep 2022 16:06:11: Epoch [16/25], Step [850/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:06:11: Epoch [16/25], Step [900/1289], Loss: 0.0504
|
||||
Fri, 16 Sep 2022 16:06:12: Epoch [16/25], Step [950/1289], Loss: 0.0207
|
||||
Fri, 16 Sep 2022 16:06:12: Epoch [16/25], Step [1000/1289], Loss: 0.0374
|
||||
Fri, 16 Sep 2022 16:06:12: Epoch [16/25], Step [1050/1289], Loss: 0.0141
|
||||
Fri, 16 Sep 2022 16:06:12: Epoch [16/25], Step [1100/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 16:06:13: Epoch [16/25], Step [1150/1289], Loss: 0.0752
|
||||
Fri, 16 Sep 2022 16:06:13: Epoch [16/25], Step [1200/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:06:13: Epoch [16/25], Step [1250/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:06:13: Epoch [17/25], Step [50/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 16:06:14: Epoch [17/25], Step [100/1289], Loss: 0.0954
|
||||
Fri, 16 Sep 2022 16:06:14: Epoch [17/25], Step [150/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:06:14: Epoch [17/25], Step [200/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:06:14: Epoch [17/25], Step [250/1289], Loss: 0.0916
|
||||
Fri, 16 Sep 2022 16:06:14: Epoch [17/25], Step [300/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 16:06:15: Epoch [17/25], Step [350/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:06:15: Epoch [17/25], Step [400/1289], Loss: 0.0227
|
||||
Fri, 16 Sep 2022 16:06:15: Epoch [17/25], Step [450/1289], Loss: 0.0608
|
||||
Fri, 16 Sep 2022 16:06:15: Epoch [17/25], Step [500/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 16:06:16: Epoch [17/25], Step [550/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:06:16: Epoch [17/25], Step [600/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:06:16: Epoch [17/25], Step [650/1289], Loss: 0.0855
|
||||
Fri, 16 Sep 2022 16:06:16: Epoch [17/25], Step [700/1289], Loss: 0.0047
|
||||
Fri, 16 Sep 2022 16:06:16: Epoch [17/25], Step [750/1289], Loss: 0.0421
|
||||
Fri, 16 Sep 2022 16:06:17: Epoch [17/25], Step [800/1289], Loss: 0.0224
|
||||
Fri, 16 Sep 2022 16:06:17: Epoch [17/25], Step [850/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:06:17: Epoch [17/25], Step [900/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 16:06:17: Epoch [17/25], Step [950/1289], Loss: 0.0856
|
||||
Fri, 16 Sep 2022 16:06:17: Epoch [17/25], Step [1000/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:06:18: Epoch [17/25], Step [1050/1289], Loss: 0.0898
|
||||
Fri, 16 Sep 2022 16:06:18: Epoch [17/25], Step [1100/1289], Loss: 0.1108
|
||||
Fri, 16 Sep 2022 16:06:18: Epoch [17/25], Step [1150/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:06:18: Epoch [17/25], Step [1200/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:06:19: Epoch [17/25], Step [1250/1289], Loss: 0.0195
|
||||
Fri, 16 Sep 2022 16:06:19: Epoch [18/25], Step [50/1289], Loss: 0.0284
|
||||
Fri, 16 Sep 2022 16:06:19: Epoch [18/25], Step [100/1289], Loss: 0.0634
|
||||
Fri, 16 Sep 2022 16:06:19: Epoch [18/25], Step [150/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:06:20: Epoch [18/25], Step [200/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 16:06:20: Epoch [18/25], Step [250/1289], Loss: 0.0240
|
||||
Fri, 16 Sep 2022 16:06:20: Epoch [18/25], Step [300/1289], Loss: 0.0600
|
||||
Fri, 16 Sep 2022 16:06:20: Epoch [18/25], Step [350/1289], Loss: 0.0938
|
||||
Fri, 16 Sep 2022 16:06:20: Epoch [18/25], Step [400/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:06:21: Epoch [18/25], Step [450/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:06:21: Epoch [18/25], Step [500/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 16:06:21: Epoch [18/25], Step [550/1289], Loss: 0.0296
|
||||
Fri, 16 Sep 2022 16:06:21: Epoch [18/25], Step [600/1289], Loss: 0.0609
|
||||
Fri, 16 Sep 2022 16:06:21: Epoch [18/25], Step [650/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:06:22: Epoch [18/25], Step [700/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:06:22: Epoch [18/25], Step [750/1289], Loss: 0.1144
|
||||
Fri, 16 Sep 2022 16:06:22: Epoch [18/25], Step [800/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 16:06:22: Epoch [18/25], Step [850/1289], Loss: 0.0218
|
||||
Fri, 16 Sep 2022 16:06:23: Epoch [18/25], Step [900/1289], Loss: 0.0757
|
||||
Fri, 16 Sep 2022 16:06:23: Epoch [18/25], Step [950/1289], Loss: 0.1125
|
||||
Fri, 16 Sep 2022 16:06:23: Epoch [18/25], Step [1000/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:06:23: Epoch [18/25], Step [1050/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:06:23: Epoch [18/25], Step [1100/1289], Loss: 0.1640
|
||||
Fri, 16 Sep 2022 16:06:24: Epoch [18/25], Step [1150/1289], Loss: 0.0169
|
||||
Fri, 16 Sep 2022 16:06:24: Epoch [18/25], Step [1200/1289], Loss: 0.0654
|
||||
Fri, 16 Sep 2022 16:06:24: Epoch [18/25], Step [1250/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 16:06:24: Epoch [19/25], Step [50/1289], Loss: 0.0425
|
||||
Fri, 16 Sep 2022 16:06:25: Epoch [19/25], Step [100/1289], Loss: 0.1028
|
||||
Fri, 16 Sep 2022 16:06:25: Epoch [19/25], Step [150/1289], Loss: 0.0199
|
||||
Fri, 16 Sep 2022 16:06:25: Epoch [19/25], Step [200/1289], Loss: 0.0227
|
||||
Fri, 16 Sep 2022 16:06:25: Epoch [19/25], Step [250/1289], Loss: 0.0291
|
||||
Fri, 16 Sep 2022 16:06:26: Epoch [19/25], Step [300/1289], Loss: 0.0495
|
||||
Fri, 16 Sep 2022 16:06:26: Epoch [19/25], Step [350/1289], Loss: 0.0052
|
||||
Fri, 16 Sep 2022 16:06:26: Epoch [19/25], Step [400/1289], Loss: 0.0091
|
||||
Fri, 16 Sep 2022 16:06:26: Epoch [19/25], Step [450/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:06:27: Epoch [19/25], Step [500/1289], Loss: 0.0276
|
||||
Fri, 16 Sep 2022 16:06:27: Epoch [19/25], Step [550/1289], Loss: 0.0226
|
||||
Fri, 16 Sep 2022 16:06:27: Epoch [19/25], Step [600/1289], Loss: 0.0258
|
||||
Fri, 16 Sep 2022 16:06:27: Epoch [19/25], Step [650/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:06:27: Epoch [19/25], Step [700/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:06:28: Epoch [19/25], Step [750/1289], Loss: 0.0327
|
||||
Fri, 16 Sep 2022 16:06:28: Epoch [19/25], Step [800/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 16:06:28: Epoch [19/25], Step [850/1289], Loss: 0.0599
|
||||
Fri, 16 Sep 2022 16:06:28: Epoch [19/25], Step [900/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:06:29: Epoch [19/25], Step [950/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 16:06:29: Epoch [19/25], Step [1000/1289], Loss: 0.0529
|
||||
Fri, 16 Sep 2022 16:06:29: Epoch [19/25], Step [1050/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:06:29: Epoch [19/25], Step [1100/1289], Loss: 0.0327
|
||||
Fri, 16 Sep 2022 16:06:30: Epoch [19/25], Step [1150/1289], Loss: 0.0584
|
||||
Fri, 16 Sep 2022 16:06:30: Epoch [19/25], Step [1200/1289], Loss: 0.0228
|
||||
Fri, 16 Sep 2022 16:06:30: Epoch [19/25], Step [1250/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:06:31: Epoch [20/25], Step [50/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 16:06:31: Epoch [20/25], Step [100/1289], Loss: 0.0384
|
||||
Fri, 16 Sep 2022 16:06:31: Epoch [20/25], Step [150/1289], Loss: 0.0683
|
||||
Fri, 16 Sep 2022 16:06:31: Epoch [20/25], Step [200/1289], Loss: 0.1054
|
||||
Fri, 16 Sep 2022 16:06:32: Epoch [20/25], Step [250/1289], Loss: 0.0414
|
||||
Fri, 16 Sep 2022 16:06:32: Epoch [20/25], Step [300/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 16:06:32: Epoch [20/25], Step [350/1289], Loss: 0.0510
|
||||
Fri, 16 Sep 2022 16:06:32: Epoch [20/25], Step [400/1289], Loss: 0.0852
|
||||
Fri, 16 Sep 2022 16:06:33: Epoch [20/25], Step [450/1289], Loss: 0.0080
|
||||
Fri, 16 Sep 2022 16:06:33: Epoch [20/25], Step [500/1289], Loss: 0.0082
|
||||
Fri, 16 Sep 2022 16:06:33: Epoch [20/25], Step [550/1289], Loss: 0.0701
|
||||
Fri, 16 Sep 2022 16:06:33: Epoch [20/25], Step [600/1289], Loss: 0.0480
|
||||
Fri, 16 Sep 2022 16:06:34: Epoch [20/25], Step [650/1289], Loss: 0.0224
|
||||
Fri, 16 Sep 2022 16:06:34: Epoch [20/25], Step [700/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:06:34: Epoch [20/25], Step [750/1289], Loss: 0.0751
|
||||
Fri, 16 Sep 2022 16:06:34: Epoch [20/25], Step [800/1289], Loss: 0.0782
|
||||
Fri, 16 Sep 2022 16:06:34: Epoch [20/25], Step [850/1289], Loss: 0.0970
|
||||
Fri, 16 Sep 2022 16:06:35: Epoch [20/25], Step [900/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:06:35: Epoch [20/25], Step [950/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:06:35: Epoch [20/25], Step [1000/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:06:35: Epoch [20/25], Step [1050/1289], Loss: 0.0776
|
||||
Fri, 16 Sep 2022 16:06:36: Epoch [20/25], Step [1100/1289], Loss: 0.0507
|
||||
Fri, 16 Sep 2022 16:06:36: Epoch [20/25], Step [1150/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:06:36: Epoch [20/25], Step [1200/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 16:06:36: Epoch [20/25], Step [1250/1289], Loss: 0.1089
|
||||
Fri, 16 Sep 2022 16:06:37: Epoch [21/25], Step [50/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:06:37: Epoch [21/25], Step [100/1289], Loss: 0.0052
|
||||
Fri, 16 Sep 2022 16:06:37: Epoch [21/25], Step [150/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:06:38: Epoch [21/25], Step [200/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 16:06:38: Epoch [21/25], Step [250/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:06:38: Epoch [21/25], Step [300/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:06:38: Epoch [21/25], Step [350/1289], Loss: 0.0374
|
||||
Fri, 16 Sep 2022 16:06:39: Epoch [21/25], Step [400/1289], Loss: 0.1558
|
||||
Fri, 16 Sep 2022 16:06:39: Epoch [21/25], Step [450/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 16:06:39: Epoch [21/25], Step [500/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:06:39: Epoch [21/25], Step [550/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:06:40: Epoch [21/25], Step [600/1289], Loss: 0.0094
|
||||
Fri, 16 Sep 2022 16:06:40: Epoch [21/25], Step [650/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 16:06:40: Epoch [21/25], Step [700/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:06:40: Epoch [21/25], Step [750/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 16:06:40: Epoch [21/25], Step [800/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 16:06:41: Epoch [21/25], Step [850/1289], Loss: 0.0547
|
||||
Fri, 16 Sep 2022 16:06:41: Epoch [21/25], Step [900/1289], Loss: 0.0137
|
||||
Fri, 16 Sep 2022 16:06:41: Epoch [21/25], Step [950/1289], Loss: 0.0059
|
||||
Fri, 16 Sep 2022 16:06:41: Epoch [21/25], Step [1000/1289], Loss: 0.0363
|
||||
Fri, 16 Sep 2022 16:06:42: Epoch [21/25], Step [1050/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:06:42: Epoch [21/25], Step [1100/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 16:06:42: Epoch [21/25], Step [1150/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:06:42: Epoch [21/25], Step [1200/1289], Loss: 0.0481
|
||||
Fri, 16 Sep 2022 16:06:43: Epoch [21/25], Step [1250/1289], Loss: 0.0995
|
||||
Fri, 16 Sep 2022 16:06:43: Epoch [22/25], Step [50/1289], Loss: 0.0618
|
||||
Fri, 16 Sep 2022 16:06:43: Epoch [22/25], Step [100/1289], Loss: 0.0215
|
||||
Fri, 16 Sep 2022 16:06:44: Epoch [22/25], Step [150/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:06:44: Epoch [22/25], Step [200/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:06:44: Epoch [22/25], Step [250/1289], Loss: 0.1180
|
||||
Fri, 16 Sep 2022 16:06:44: Epoch [22/25], Step [300/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:06:45: Epoch [22/25], Step [350/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 16:06:45: Epoch [22/25], Step [400/1289], Loss: 0.0992
|
||||
Fri, 16 Sep 2022 16:06:45: Epoch [22/25], Step [450/1289], Loss: 0.1596
|
||||
Fri, 16 Sep 2022 16:06:45: Epoch [22/25], Step [500/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 16:06:46: Epoch [22/25], Step [550/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 16:06:46: Epoch [22/25], Step [600/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:06:46: Epoch [22/25], Step [650/1289], Loss: 0.0063
|
||||
Fri, 16 Sep 2022 16:06:46: Epoch [22/25], Step [700/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 16:06:47: Epoch [22/25], Step [750/1289], Loss: 0.0068
|
||||
Fri, 16 Sep 2022 16:06:47: Epoch [22/25], Step [800/1289], Loss: 0.0234
|
||||
Fri, 16 Sep 2022 16:06:47: Epoch [22/25], Step [850/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 16:06:47: Epoch [22/25], Step [900/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:06:48: Epoch [22/25], Step [950/1289], Loss: 0.1012
|
||||
Fri, 16 Sep 2022 16:06:48: Epoch [22/25], Step [1000/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:06:48: Epoch [22/25], Step [1050/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 16:06:48: Epoch [22/25], Step [1100/1289], Loss: 0.0183
|
||||
Fri, 16 Sep 2022 16:06:49: Epoch [22/25], Step [1150/1289], Loss: 0.0156
|
||||
Fri, 16 Sep 2022 16:06:49: Epoch [22/25], Step [1200/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:06:49: Epoch [22/25], Step [1250/1289], Loss: 0.1327
|
||||
Fri, 16 Sep 2022 16:06:50: Epoch [23/25], Step [50/1289], Loss: 0.0058
|
||||
Fri, 16 Sep 2022 16:06:50: Epoch [23/25], Step [100/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 16:06:50: Epoch [23/25], Step [150/1289], Loss: 0.0714
|
||||
Fri, 16 Sep 2022 16:06:50: Epoch [23/25], Step [200/1289], Loss: 0.0421
|
||||
Fri, 16 Sep 2022 16:06:51: Epoch [23/25], Step [250/1289], Loss: 0.0972
|
||||
Fri, 16 Sep 2022 16:06:51: Epoch [23/25], Step [300/1289], Loss: 0.0486
|
||||
Fri, 16 Sep 2022 16:06:51: Epoch [23/25], Step [350/1289], Loss: 0.0395
|
||||
Fri, 16 Sep 2022 16:06:51: Epoch [23/25], Step [400/1289], Loss: 0.0737
|
||||
Fri, 16 Sep 2022 16:06:52: Epoch [23/25], Step [450/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:06:52: Epoch [23/25], Step [500/1289], Loss: 0.0365
|
||||
Fri, 16 Sep 2022 16:06:52: Epoch [23/25], Step [550/1289], Loss: 0.0556
|
||||
Fri, 16 Sep 2022 16:06:52: Epoch [23/25], Step [600/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:06:53: Epoch [23/25], Step [650/1289], Loss: 0.0460
|
||||
Fri, 16 Sep 2022 16:06:53: Epoch [23/25], Step [700/1289], Loss: 0.0138
|
||||
Fri, 16 Sep 2022 16:06:53: Epoch [23/25], Step [750/1289], Loss: 0.0821
|
||||
Fri, 16 Sep 2022 16:06:53: Epoch [23/25], Step [800/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:06:54: Epoch [23/25], Step [850/1289], Loss: 0.0803
|
||||
Fri, 16 Sep 2022 16:06:54: Epoch [23/25], Step [900/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 16:06:54: Epoch [23/25], Step [950/1289], Loss: 0.1387
|
||||
Fri, 16 Sep 2022 16:06:54: Epoch [23/25], Step [1000/1289], Loss: 0.0091
|
||||
Fri, 16 Sep 2022 16:06:55: Epoch [23/25], Step [1050/1289], Loss: 0.0136
|
||||
Fri, 16 Sep 2022 16:06:55: Epoch [23/25], Step [1100/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:06:55: Epoch [23/25], Step [1150/1289], Loss: 0.0154
|
||||
Fri, 16 Sep 2022 16:06:55: Epoch [23/25], Step [1200/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:06:55: Epoch [23/25], Step [1250/1289], Loss: 0.1313
|
||||
Fri, 16 Sep 2022 16:06:56: Epoch [24/25], Step [50/1289], Loss: 0.0976
|
||||
Fri, 16 Sep 2022 16:06:56: Epoch [24/25], Step [100/1289], Loss: 0.0600
|
||||
Fri, 16 Sep 2022 16:06:56: Epoch [24/25], Step [150/1289], Loss: 0.0440
|
||||
Fri, 16 Sep 2022 16:06:57: Epoch [24/25], Step [200/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 16:06:57: Epoch [24/25], Step [250/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:06:57: Epoch [24/25], Step [300/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:06:57: Epoch [24/25], Step [350/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:06:58: Epoch [24/25], Step [400/1289], Loss: 0.0058
|
||||
Fri, 16 Sep 2022 16:06:58: Epoch [24/25], Step [450/1289], Loss: 0.0828
|
||||
Fri, 16 Sep 2022 16:06:58: Epoch [24/25], Step [500/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:06:58: Epoch [24/25], Step [550/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 16:06:59: Epoch [24/25], Step [600/1289], Loss: 0.0286
|
||||
Fri, 16 Sep 2022 16:06:59: Epoch [24/25], Step [650/1289], Loss: 0.0368
|
||||
Fri, 16 Sep 2022 16:06:59: Epoch [24/25], Step [700/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:06:59: Epoch [24/25], Step [750/1289], Loss: 0.0638
|
||||
Fri, 16 Sep 2022 16:07:00: Epoch [24/25], Step [800/1289], Loss: 0.0050
|
||||
Fri, 16 Sep 2022 16:07:00: Epoch [24/25], Step [850/1289], Loss: 0.0688
|
||||
Fri, 16 Sep 2022 16:07:00: Epoch [24/25], Step [900/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:07:00: Epoch [24/25], Step [950/1289], Loss: 0.0260
|
||||
Fri, 16 Sep 2022 16:07:01: Epoch [24/25], Step [1000/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:07:01: Epoch [24/25], Step [1050/1289], Loss: 0.0138
|
||||
Fri, 16 Sep 2022 16:07:01: Epoch [24/25], Step [1100/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:07:01: Epoch [24/25], Step [1150/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 16:07:02: Epoch [24/25], Step [1200/1289], Loss: 0.0155
|
||||
Fri, 16 Sep 2022 16:07:02: Epoch [24/25], Step [1250/1289], Loss: 0.0155
|
||||
Fri, 16 Sep 2022 16:07:02: Epoch [25/25], Step [50/1289], Loss: 0.0982
|
||||
Fri, 16 Sep 2022 16:07:03: Epoch [25/25], Step [100/1289], Loss: 0.0252
|
||||
Fri, 16 Sep 2022 16:07:03: Epoch [25/25], Step [150/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 16:07:03: Epoch [25/25], Step [200/1289], Loss: 0.0717
|
||||
Fri, 16 Sep 2022 16:07:03: Epoch [25/25], Step [250/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 16:07:04: Epoch [25/25], Step [300/1289], Loss: 0.0779
|
||||
Fri, 16 Sep 2022 16:07:04: Epoch [25/25], Step [350/1289], Loss: 0.0234
|
||||
Fri, 16 Sep 2022 16:07:04: Epoch [25/25], Step [400/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:07:04: Epoch [25/25], Step [450/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:07:04: Epoch [25/25], Step [500/1289], Loss: 0.0873
|
||||
Fri, 16 Sep 2022 16:07:05: Epoch [25/25], Step [550/1289], Loss: 0.0843
|
||||
Fri, 16 Sep 2022 16:07:05: Epoch [25/25], Step [600/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 16:07:05: Epoch [25/25], Step [650/1289], Loss: 0.0994
|
||||
Fri, 16 Sep 2022 16:07:05: Epoch [25/25], Step [700/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 16:07:06: Epoch [25/25], Step [750/1289], Loss: 0.0592
|
||||
Fri, 16 Sep 2022 16:07:06: Epoch [25/25], Step [800/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:07:06: Epoch [25/25], Step [850/1289], Loss: 0.0576
|
||||
Fri, 16 Sep 2022 16:07:06: Epoch [25/25], Step [900/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:07:07: Epoch [25/25], Step [950/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:07:07: Epoch [25/25], Step [1000/1289], Loss: 0.0454
|
||||
Fri, 16 Sep 2022 16:07:07: Epoch [25/25], Step [1050/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:07:07: Epoch [25/25], Step [1100/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 16:07:08: Epoch [25/25], Step [1150/1289], Loss: 0.0341
|
||||
Fri, 16 Sep 2022 16:07:08: Epoch [25/25], Step [1200/1289], Loss: 0.0500
|
||||
Fri, 16 Sep 2022 16:07:08: Epoch [25/25], Step [1250/1289], Loss: 0.0071
|
||||
Fri, 16 Sep 2022 16:07:08: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:07:09: f1 :0.9567891348217432
|
||||
Fri, 16 Sep 2022 16:07:09:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9337 0.9865 0.9594 16153
|
||||
1 0.9856 0.9296 0.9568 16066
|
||||
|
||||
accuracy 0.9581 32219
|
||||
macro avg 0.9597 0.9581 0.9581 32219
|
||||
weighted avg 0.9596 0.9581 0.9581 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:07:09:
|
||||
[[15935 218]
|
||||
[ 1131 14935]]
|
||||
Fri, 16 Sep 2022 16:07:09: high_num,high_true,high_false:5502,5093,409
|
||||
Fri, 16 Sep 2022 16:07:09: low_num,low_true,low_false:10564,9842,722
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 15:45:31: -------------
|
||||
Fri, 16 Sep 2022 15:45:31: layers:(gru,fully connnected layer)-(2,1)
|
||||
Fri, 16 Sep 2022 15:45:32: cuda is_available:True
|
||||
Fri, 16 Sep 2022 15:45:32: model parameters - num_layers:2, sequence_len:40
|
||||
Fri, 16 Sep 2022 15:45:32: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 15:45:32: reading csv file
|
||||
Fri, 16 Sep 2022 15:45:32: csv file alread loaded
|
||||
Fri, 16 Sep 2022 15:45:43: procols num: 31
|
||||
Fri, 16 Sep 2022 15:45:43: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 15:47:06: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 15:47:08: loader already prepared
|
||||
Fri, 16 Sep 2022 15:47:08: loader中(0:normal,1:high,2:low):Counter({0: 16271, 2: 10535, 1: 5413})
|
||||
Fri, 16 Sep 2022 15:47:11: start training
|
||||
Fri, 16 Sep 2022 15:47:11: Epoch [1/25], Step [50/1289], Loss: 0.3774
|
||||
Fri, 16 Sep 2022 15:47:11: Epoch [1/25], Step [100/1289], Loss: 0.3063
|
||||
Fri, 16 Sep 2022 15:47:12: Epoch [1/25], Step [150/1289], Loss: 0.3583
|
||||
Fri, 16 Sep 2022 15:47:12: Epoch [1/25], Step [200/1289], Loss: 0.3283
|
||||
Fri, 16 Sep 2022 15:47:12: Epoch [1/25], Step [250/1289], Loss: 0.3778
|
||||
Fri, 16 Sep 2022 15:47:12: Epoch [1/25], Step [300/1289], Loss: 0.3949
|
||||
Fri, 16 Sep 2022 15:47:12: Epoch [1/25], Step [350/1289], Loss: 0.2693
|
||||
Fri, 16 Sep 2022 15:47:13: Epoch [1/25], Step [400/1289], Loss: 0.2527
|
||||
Fri, 16 Sep 2022 15:47:13: Epoch [1/25], Step [450/1289], Loss: 0.2813
|
||||
Fri, 16 Sep 2022 15:47:13: Epoch [1/25], Step [500/1289], Loss: 0.2822
|
||||
Fri, 16 Sep 2022 15:47:13: Epoch [1/25], Step [550/1289], Loss: 0.1890
|
||||
Fri, 16 Sep 2022 15:47:14: Epoch [1/25], Step [600/1289], Loss: 0.1521
|
||||
Fri, 16 Sep 2022 15:47:14: Epoch [1/25], Step [650/1289], Loss: 0.1196
|
||||
Fri, 16 Sep 2022 15:47:14: Epoch [1/25], Step [700/1289], Loss: 0.1870
|
||||
Fri, 16 Sep 2022 15:47:14: Epoch [1/25], Step [750/1289], Loss: 0.1746
|
||||
Fri, 16 Sep 2022 15:47:14: Epoch [1/25], Step [800/1289], Loss: 0.2454
|
||||
Fri, 16 Sep 2022 15:47:15: Epoch [1/25], Step [850/1289], Loss: 0.1556
|
||||
Fri, 16 Sep 2022 15:47:15: Epoch [1/25], Step [900/1289], Loss: 0.2551
|
||||
Fri, 16 Sep 2022 15:47:15: Epoch [1/25], Step [950/1289], Loss: 0.1314
|
||||
Fri, 16 Sep 2022 15:47:15: Epoch [1/25], Step [1000/1289], Loss: 0.1684
|
||||
Fri, 16 Sep 2022 15:47:16: Epoch [1/25], Step [1050/1289], Loss: 0.1131
|
||||
Fri, 16 Sep 2022 15:47:16: Epoch [1/25], Step [1100/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 15:47:16: Epoch [1/25], Step [1150/1289], Loss: 0.2650
|
||||
Fri, 16 Sep 2022 15:47:16: Epoch [1/25], Step [1200/1289], Loss: 0.2124
|
||||
Fri, 16 Sep 2022 15:47:16: Epoch [1/25], Step [1250/1289], Loss: 0.2135
|
||||
Fri, 16 Sep 2022 15:47:17: Epoch [2/25], Step [50/1289], Loss: 0.1474
|
||||
Fri, 16 Sep 2022 15:47:17: Epoch [2/25], Step [100/1289], Loss: 0.0714
|
||||
Fri, 16 Sep 2022 15:47:17: Epoch [2/25], Step [150/1289], Loss: 0.1685
|
||||
Fri, 16 Sep 2022 15:47:17: Epoch [2/25], Step [200/1289], Loss: 0.1550
|
||||
Fri, 16 Sep 2022 15:47:18: Epoch [2/25], Step [250/1289], Loss: 0.1149
|
||||
Fri, 16 Sep 2022 15:47:18: Epoch [2/25], Step [300/1289], Loss: 0.1272
|
||||
Fri, 16 Sep 2022 15:47:18: Epoch [2/25], Step [350/1289], Loss: 0.2070
|
||||
Fri, 16 Sep 2022 15:47:18: Epoch [2/25], Step [400/1289], Loss: 0.2088
|
||||
Fri, 16 Sep 2022 15:47:19: Epoch [2/25], Step [450/1289], Loss: 0.1166
|
||||
Fri, 16 Sep 2022 15:47:19: Epoch [2/25], Step [500/1289], Loss: 0.1297
|
||||
Fri, 16 Sep 2022 15:47:19: Epoch [2/25], Step [550/1289], Loss: 0.1203
|
||||
Fri, 16 Sep 2022 15:47:19: Epoch [2/25], Step [600/1289], Loss: 0.1580
|
||||
Fri, 16 Sep 2022 15:47:19: Epoch [2/25], Step [650/1289], Loss: 0.0981
|
||||
Fri, 16 Sep 2022 15:47:20: Epoch [2/25], Step [700/1289], Loss: 0.2407
|
||||
Fri, 16 Sep 2022 15:47:20: Epoch [2/25], Step [750/1289], Loss: 0.0873
|
||||
Fri, 16 Sep 2022 15:47:20: Epoch [2/25], Step [800/1289], Loss: 0.1787
|
||||
Fri, 16 Sep 2022 15:47:20: Epoch [2/25], Step [850/1289], Loss: 0.1288
|
||||
Fri, 16 Sep 2022 15:47:21: Epoch [2/25], Step [900/1289], Loss: 0.1531
|
||||
Fri, 16 Sep 2022 15:47:21: Epoch [2/25], Step [950/1289], Loss: 0.1302
|
||||
Fri, 16 Sep 2022 15:47:21: Epoch [2/25], Step [1000/1289], Loss: 0.1045
|
||||
Fri, 16 Sep 2022 15:47:21: Epoch [2/25], Step [1050/1289], Loss: 0.1429
|
||||
Fri, 16 Sep 2022 15:47:21: Epoch [2/25], Step [1100/1289], Loss: 0.0520
|
||||
Fri, 16 Sep 2022 15:47:22: Epoch [2/25], Step [1150/1289], Loss: 0.0984
|
||||
Fri, 16 Sep 2022 15:47:22: Epoch [2/25], Step [1200/1289], Loss: 0.1549
|
||||
Fri, 16 Sep 2022 15:47:22: Epoch [2/25], Step [1250/1289], Loss: 0.1162
|
||||
Fri, 16 Sep 2022 15:47:22: Epoch [3/25], Step [50/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 15:47:23: Epoch [3/25], Step [100/1289], Loss: 0.2158
|
||||
Fri, 16 Sep 2022 15:47:23: Epoch [3/25], Step [150/1289], Loss: 0.1876
|
||||
Fri, 16 Sep 2022 15:47:23: Epoch [3/25], Step [200/1289], Loss: 0.1141
|
||||
Fri, 16 Sep 2022 15:47:23: Epoch [3/25], Step [250/1289], Loss: 0.1641
|
||||
Fri, 16 Sep 2022 15:47:24: Epoch [3/25], Step [300/1289], Loss: 0.2223
|
||||
Fri, 16 Sep 2022 15:47:24: Epoch [3/25], Step [350/1289], Loss: 0.0734
|
||||
Fri, 16 Sep 2022 15:47:24: Epoch [3/25], Step [400/1289], Loss: 0.1021
|
||||
Fri, 16 Sep 2022 15:47:24: Epoch [3/25], Step [450/1289], Loss: 0.1190
|
||||
Fri, 16 Sep 2022 15:47:24: Epoch [3/25], Step [500/1289], Loss: 0.0802
|
||||
Fri, 16 Sep 2022 15:47:25: Epoch [3/25], Step [550/1289], Loss: 0.0744
|
||||
Fri, 16 Sep 2022 15:47:25: Epoch [3/25], Step [600/1289], Loss: 0.1177
|
||||
Fri, 16 Sep 2022 15:47:25: Epoch [3/25], Step [650/1289], Loss: 0.0641
|
||||
Fri, 16 Sep 2022 15:47:25: Epoch [3/25], Step [700/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 15:47:26: Epoch [3/25], Step [750/1289], Loss: 0.0982
|
||||
Fri, 16 Sep 2022 15:47:26: Epoch [3/25], Step [800/1289], Loss: 0.1918
|
||||
Fri, 16 Sep 2022 15:47:26: Epoch [3/25], Step [850/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 15:47:26: Epoch [3/25], Step [900/1289], Loss: 0.1460
|
||||
Fri, 16 Sep 2022 15:47:26: Epoch [3/25], Step [950/1289], Loss: 0.0991
|
||||
Fri, 16 Sep 2022 15:47:27: Epoch [3/25], Step [1000/1289], Loss: 0.0717
|
||||
Fri, 16 Sep 2022 15:47:27: Epoch [3/25], Step [1050/1289], Loss: 0.1373
|
||||
Fri, 16 Sep 2022 15:47:27: Epoch [3/25], Step [1100/1289], Loss: 0.1894
|
||||
Fri, 16 Sep 2022 15:47:27: Epoch [3/25], Step [1150/1289], Loss: 0.1524
|
||||
Fri, 16 Sep 2022 15:47:28: Epoch [3/25], Step [1200/1289], Loss: 0.1751
|
||||
Fri, 16 Sep 2022 15:47:28: Epoch [3/25], Step [1250/1289], Loss: 0.0177
|
||||
Fri, 16 Sep 2022 15:47:28: Epoch [4/25], Step [50/1289], Loss: 0.1698
|
||||
Fri, 16 Sep 2022 15:47:28: Epoch [4/25], Step [100/1289], Loss: 0.1541
|
||||
Fri, 16 Sep 2022 15:47:29: Epoch [4/25], Step [150/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 15:47:29: Epoch [4/25], Step [200/1289], Loss: 0.1499
|
||||
Fri, 16 Sep 2022 15:47:29: Epoch [4/25], Step [250/1289], Loss: 0.0469
|
||||
Fri, 16 Sep 2022 15:47:29: Epoch [4/25], Step [300/1289], Loss: 0.1542
|
||||
Fri, 16 Sep 2022 15:47:30: Epoch [4/25], Step [350/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 15:47:30: Epoch [4/25], Step [400/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 15:47:30: Epoch [4/25], Step [450/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 15:47:30: Epoch [4/25], Step [500/1289], Loss: 0.0959
|
||||
Fri, 16 Sep 2022 15:47:31: Epoch [4/25], Step [550/1289], Loss: 0.0520
|
||||
Fri, 16 Sep 2022 15:47:31: Epoch [4/25], Step [600/1289], Loss: 0.0810
|
||||
Fri, 16 Sep 2022 15:47:31: Epoch [4/25], Step [650/1289], Loss: 0.1080
|
||||
Fri, 16 Sep 2022 15:47:31: Epoch [4/25], Step [700/1289], Loss: 0.0709
|
||||
Fri, 16 Sep 2022 15:47:31: Epoch [4/25], Step [750/1289], Loss: 0.0598
|
||||
Fri, 16 Sep 2022 15:47:32: Epoch [4/25], Step [800/1289], Loss: 0.1013
|
||||
Fri, 16 Sep 2022 15:47:32: Epoch [4/25], Step [850/1289], Loss: 0.0611
|
||||
Fri, 16 Sep 2022 15:47:32: Epoch [4/25], Step [900/1289], Loss: 0.1870
|
||||
Fri, 16 Sep 2022 15:47:32: Epoch [4/25], Step [950/1289], Loss: 0.1698
|
||||
Fri, 16 Sep 2022 15:47:33: Epoch [4/25], Step [1000/1289], Loss: 0.1080
|
||||
Fri, 16 Sep 2022 15:47:33: Epoch [4/25], Step [1050/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 15:47:33: Epoch [4/25], Step [1100/1289], Loss: 0.0870
|
||||
Fri, 16 Sep 2022 15:47:33: Epoch [4/25], Step [1150/1289], Loss: 0.1342
|
||||
Fri, 16 Sep 2022 15:47:33: Epoch [4/25], Step [1200/1289], Loss: 0.1121
|
||||
Fri, 16 Sep 2022 15:47:34: Epoch [4/25], Step [1250/1289], Loss: 0.0613
|
||||
Fri, 16 Sep 2022 15:47:34: Epoch [5/25], Step [50/1289], Loss: 0.0615
|
||||
Fri, 16 Sep 2022 15:47:34: Epoch [5/25], Step [100/1289], Loss: 0.1794
|
||||
Fri, 16 Sep 2022 15:47:35: Epoch [5/25], Step [150/1289], Loss: 0.1733
|
||||
Fri, 16 Sep 2022 15:47:35: Epoch [5/25], Step [200/1289], Loss: 0.1095
|
||||
Fri, 16 Sep 2022 15:47:35: Epoch [5/25], Step [250/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 15:47:35: Epoch [5/25], Step [300/1289], Loss: 0.0654
|
||||
Fri, 16 Sep 2022 15:47:35: Epoch [5/25], Step [350/1289], Loss: 0.1857
|
||||
Fri, 16 Sep 2022 15:47:36: Epoch [5/25], Step [400/1289], Loss: 0.0913
|
||||
Fri, 16 Sep 2022 15:47:36: Epoch [5/25], Step [450/1289], Loss: 0.0646
|
||||
Fri, 16 Sep 2022 15:47:36: Epoch [5/25], Step [500/1289], Loss: 0.0727
|
||||
Fri, 16 Sep 2022 15:47:36: Epoch [5/25], Step [550/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 15:47:37: Epoch [5/25], Step [600/1289], Loss: 0.0743
|
||||
Fri, 16 Sep 2022 15:47:37: Epoch [5/25], Step [650/1289], Loss: 0.2523
|
||||
Fri, 16 Sep 2022 15:47:37: Epoch [5/25], Step [700/1289], Loss: 0.0586
|
||||
Fri, 16 Sep 2022 15:47:37: Epoch [5/25], Step [750/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 15:47:38: Epoch [5/25], Step [800/1289], Loss: 0.0687
|
||||
Fri, 16 Sep 2022 15:47:38: Epoch [5/25], Step [850/1289], Loss: 0.0669
|
||||
Fri, 16 Sep 2022 15:47:38: Epoch [5/25], Step [900/1289], Loss: 0.0611
|
||||
Fri, 16 Sep 2022 15:47:38: Epoch [5/25], Step [950/1289], Loss: 0.0969
|
||||
Fri, 16 Sep 2022 15:47:39: Epoch [5/25], Step [1000/1289], Loss: 0.0773
|
||||
Fri, 16 Sep 2022 15:47:39: Epoch [5/25], Step [1050/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 15:47:39: Epoch [5/25], Step [1100/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 15:47:39: Epoch [5/25], Step [1150/1289], Loss: 0.0813
|
||||
Fri, 16 Sep 2022 15:47:40: Epoch [5/25], Step [1200/1289], Loss: 0.1102
|
||||
Fri, 16 Sep 2022 15:47:40: Epoch [5/25], Step [1250/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 15:47:40: Epoch [6/25], Step [50/1289], Loss: 0.1358
|
||||
Fri, 16 Sep 2022 15:47:41: Epoch [6/25], Step [100/1289], Loss: 0.1105
|
||||
Fri, 16 Sep 2022 15:47:41: Epoch [6/25], Step [150/1289], Loss: 0.0947
|
||||
Fri, 16 Sep 2022 15:47:41: Epoch [6/25], Step [200/1289], Loss: 0.0888
|
||||
Fri, 16 Sep 2022 15:47:41: Epoch [6/25], Step [250/1289], Loss: 0.0585
|
||||
Fri, 16 Sep 2022 15:47:42: Epoch [6/25], Step [300/1289], Loss: 0.0711
|
||||
Fri, 16 Sep 2022 15:47:42: Epoch [6/25], Step [350/1289], Loss: 0.1164
|
||||
Fri, 16 Sep 2022 15:47:42: Epoch [6/25], Step [400/1289], Loss: 0.1257
|
||||
Fri, 16 Sep 2022 15:47:42: Epoch [6/25], Step [450/1289], Loss: 0.1410
|
||||
Fri, 16 Sep 2022 15:47:42: Epoch [6/25], Step [500/1289], Loss: 0.1161
|
||||
Fri, 16 Sep 2022 15:47:43: Epoch [6/25], Step [550/1289], Loss: 0.0425
|
||||
Fri, 16 Sep 2022 15:47:43: Epoch [6/25], Step [600/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 15:47:43: Epoch [6/25], Step [650/1289], Loss: 0.1014
|
||||
Fri, 16 Sep 2022 15:47:43: Epoch [6/25], Step [700/1289], Loss: 0.0867
|
||||
Fri, 16 Sep 2022 15:47:44: Epoch [6/25], Step [750/1289], Loss: 0.1004
|
||||
Fri, 16 Sep 2022 15:47:44: Epoch [6/25], Step [800/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 15:47:44: Epoch [6/25], Step [850/1289], Loss: 0.0627
|
||||
Fri, 16 Sep 2022 15:47:44: Epoch [6/25], Step [900/1289], Loss: 0.1190
|
||||
Fri, 16 Sep 2022 15:47:45: Epoch [6/25], Step [950/1289], Loss: 0.1059
|
||||
Fri, 16 Sep 2022 15:47:45: Epoch [6/25], Step [1000/1289], Loss: 0.1308
|
||||
Fri, 16 Sep 2022 15:47:45: Epoch [6/25], Step [1050/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 15:47:45: Epoch [6/25], Step [1100/1289], Loss: 0.1120
|
||||
Fri, 16 Sep 2022 15:47:46: Epoch [6/25], Step [1150/1289], Loss: 0.1144
|
||||
Fri, 16 Sep 2022 15:47:46: Epoch [6/25], Step [1200/1289], Loss: 0.0655
|
||||
Fri, 16 Sep 2022 15:47:46: Epoch [6/25], Step [1250/1289], Loss: 0.1039
|
||||
Fri, 16 Sep 2022 15:47:47: Epoch [7/25], Step [50/1289], Loss: 0.1054
|
||||
Fri, 16 Sep 2022 15:47:47: Epoch [7/25], Step [100/1289], Loss: 0.1683
|
||||
Fri, 16 Sep 2022 15:47:47: Epoch [7/25], Step [150/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 15:47:47: Epoch [7/25], Step [200/1289], Loss: 0.1235
|
||||
Fri, 16 Sep 2022 15:47:48: Epoch [7/25], Step [250/1289], Loss: 0.0594
|
||||
Fri, 16 Sep 2022 15:47:48: Epoch [7/25], Step [300/1289], Loss: 0.0479
|
||||
Fri, 16 Sep 2022 15:47:48: Epoch [7/25], Step [350/1289], Loss: 0.1474
|
||||
Fri, 16 Sep 2022 15:47:48: Epoch [7/25], Step [400/1289], Loss: 0.1087
|
||||
Fri, 16 Sep 2022 15:47:48: Epoch [7/25], Step [450/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 15:47:49: Epoch [7/25], Step [500/1289], Loss: 0.0629
|
||||
Fri, 16 Sep 2022 15:47:49: Epoch [7/25], Step [550/1289], Loss: 0.0488
|
||||
Fri, 16 Sep 2022 15:47:49: Epoch [7/25], Step [600/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:47:49: Epoch [7/25], Step [650/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 15:47:50: Epoch [7/25], Step [700/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 15:47:50: Epoch [7/25], Step [750/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 15:47:50: Epoch [7/25], Step [800/1289], Loss: 0.0419
|
||||
Fri, 16 Sep 2022 15:47:50: Epoch [7/25], Step [850/1289], Loss: 0.0943
|
||||
Fri, 16 Sep 2022 15:47:51: Epoch [7/25], Step [900/1289], Loss: 0.1008
|
||||
Fri, 16 Sep 2022 15:47:51: Epoch [7/25], Step [950/1289], Loss: 0.1095
|
||||
Fri, 16 Sep 2022 15:47:51: Epoch [7/25], Step [1000/1289], Loss: 0.0586
|
||||
Fri, 16 Sep 2022 15:47:51: Epoch [7/25], Step [1050/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 15:47:52: Epoch [7/25], Step [1100/1289], Loss: 0.0790
|
||||
Fri, 16 Sep 2022 15:47:52: Epoch [7/25], Step [1150/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 15:47:52: Epoch [7/25], Step [1200/1289], Loss: 0.0245
|
||||
Fri, 16 Sep 2022 15:47:52: Epoch [7/25], Step [1250/1289], Loss: 0.0933
|
||||
Fri, 16 Sep 2022 15:47:53: Epoch [8/25], Step [50/1289], Loss: 0.0226
|
||||
Fri, 16 Sep 2022 15:47:53: Epoch [8/25], Step [100/1289], Loss: 0.0152
|
||||
Fri, 16 Sep 2022 15:47:53: Epoch [8/25], Step [150/1289], Loss: 0.0800
|
||||
Fri, 16 Sep 2022 15:47:53: Epoch [8/25], Step [200/1289], Loss: 0.0991
|
||||
Fri, 16 Sep 2022 15:47:54: Epoch [8/25], Step [250/1289], Loss: 0.0629
|
||||
Fri, 16 Sep 2022 15:47:54: Epoch [8/25], Step [300/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 15:47:54: Epoch [8/25], Step [350/1289], Loss: 0.1128
|
||||
Fri, 16 Sep 2022 15:47:54: Epoch [8/25], Step [400/1289], Loss: 0.0507
|
||||
Fri, 16 Sep 2022 15:47:55: Epoch [8/25], Step [450/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 15:47:55: Epoch [8/25], Step [500/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 15:47:55: Epoch [8/25], Step [550/1289], Loss: 0.0460
|
||||
Fri, 16 Sep 2022 15:47:55: Epoch [8/25], Step [600/1289], Loss: 0.0305
|
||||
Fri, 16 Sep 2022 15:47:56: Epoch [8/25], Step [650/1289], Loss: 0.1870
|
||||
Fri, 16 Sep 2022 15:47:56: Epoch [8/25], Step [700/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 15:47:56: Epoch [8/25], Step [750/1289], Loss: 0.0429
|
||||
Fri, 16 Sep 2022 15:47:56: Epoch [8/25], Step [800/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:47:57: Epoch [8/25], Step [850/1289], Loss: 0.0617
|
||||
Fri, 16 Sep 2022 15:47:57: Epoch [8/25], Step [900/1289], Loss: 0.0759
|
||||
Fri, 16 Sep 2022 15:47:57: Epoch [8/25], Step [950/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 15:47:57: Epoch [8/25], Step [1000/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 15:47:57: Epoch [8/25], Step [1050/1289], Loss: 0.0566
|
||||
Fri, 16 Sep 2022 15:47:58: Epoch [8/25], Step [1100/1289], Loss: 0.1134
|
||||
Fri, 16 Sep 2022 15:47:58: Epoch [8/25], Step [1150/1289], Loss: 0.0495
|
||||
Fri, 16 Sep 2022 15:47:58: Epoch [8/25], Step [1200/1289], Loss: 0.0589
|
||||
Fri, 16 Sep 2022 15:47:58: Epoch [8/25], Step [1250/1289], Loss: 0.1345
|
||||
Fri, 16 Sep 2022 15:47:59: Epoch [9/25], Step [50/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 15:47:59: Epoch [9/25], Step [100/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 15:47:59: Epoch [9/25], Step [150/1289], Loss: 0.0402
|
||||
Fri, 16 Sep 2022 15:47:59: Epoch [9/25], Step [200/1289], Loss: 0.0412
|
||||
Fri, 16 Sep 2022 15:48:00: Epoch [9/25], Step [250/1289], Loss: 0.0457
|
||||
Fri, 16 Sep 2022 15:48:00: Epoch [9/25], Step [300/1289], Loss: 0.1158
|
||||
Fri, 16 Sep 2022 15:48:00: Epoch [9/25], Step [350/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 15:48:00: Epoch [9/25], Step [400/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 15:48:01: Epoch [9/25], Step [450/1289], Loss: 0.1133
|
||||
Fri, 16 Sep 2022 15:48:01: Epoch [9/25], Step [500/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 15:48:01: Epoch [9/25], Step [550/1289], Loss: 0.0805
|
||||
Fri, 16 Sep 2022 15:48:02: Epoch [9/25], Step [600/1289], Loss: 0.0541
|
||||
Fri, 16 Sep 2022 15:48:02: Epoch [9/25], Step [650/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 15:48:02: Epoch [9/25], Step [700/1289], Loss: 0.0395
|
||||
Fri, 16 Sep 2022 15:48:02: Epoch [9/25], Step [750/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 15:48:02: Epoch [9/25], Step [800/1289], Loss: 0.1541
|
||||
Fri, 16 Sep 2022 15:48:03: Epoch [9/25], Step [850/1289], Loss: 0.0918
|
||||
Fri, 16 Sep 2022 15:48:03: Epoch [9/25], Step [900/1289], Loss: 0.1244
|
||||
Fri, 16 Sep 2022 15:48:03: Epoch [9/25], Step [950/1289], Loss: 0.0933
|
||||
Fri, 16 Sep 2022 15:48:03: Epoch [9/25], Step [1000/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 15:48:04: Epoch [9/25], Step [1050/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 15:48:04: Epoch [9/25], Step [1100/1289], Loss: 0.0785
|
||||
Fri, 16 Sep 2022 15:48:04: Epoch [9/25], Step [1150/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 15:48:04: Epoch [9/25], Step [1200/1289], Loss: 0.0587
|
||||
Fri, 16 Sep 2022 15:48:04: Epoch [9/25], Step [1250/1289], Loss: 0.1200
|
||||
Fri, 16 Sep 2022 15:48:05: Epoch [10/25], Step [50/1289], Loss: 0.0480
|
||||
Fri, 16 Sep 2022 15:48:05: Epoch [10/25], Step [100/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 15:48:05: Epoch [10/25], Step [150/1289], Loss: 0.1126
|
||||
Fri, 16 Sep 2022 15:48:06: Epoch [10/25], Step [200/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 15:48:06: Epoch [10/25], Step [250/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 15:48:06: Epoch [10/25], Step [300/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 15:48:06: Epoch [10/25], Step [350/1289], Loss: 0.0988
|
||||
Fri, 16 Sep 2022 15:48:06: Epoch [10/25], Step [400/1289], Loss: 0.0676
|
||||
Fri, 16 Sep 2022 15:48:07: Epoch [10/25], Step [450/1289], Loss: 0.0311
|
||||
Fri, 16 Sep 2022 15:48:07: Epoch [10/25], Step [500/1289], Loss: 0.0540
|
||||
Fri, 16 Sep 2022 15:48:07: Epoch [10/25], Step [550/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 15:48:07: Epoch [10/25], Step [600/1289], Loss: 0.0540
|
||||
Fri, 16 Sep 2022 15:48:08: Epoch [10/25], Step [650/1289], Loss: 0.0687
|
||||
Fri, 16 Sep 2022 15:48:08: Epoch [10/25], Step [700/1289], Loss: 0.0180
|
||||
Fri, 16 Sep 2022 15:48:08: Epoch [10/25], Step [750/1289], Loss: 0.1103
|
||||
Fri, 16 Sep 2022 15:48:08: Epoch [10/25], Step [800/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 15:48:08: Epoch [10/25], Step [850/1289], Loss: 0.0273
|
||||
Fri, 16 Sep 2022 15:48:09: Epoch [10/25], Step [900/1289], Loss: 0.0931
|
||||
Fri, 16 Sep 2022 15:48:09: Epoch [10/25], Step [950/1289], Loss: 0.0466
|
||||
Fri, 16 Sep 2022 15:48:09: Epoch [10/25], Step [1000/1289], Loss: 0.0828
|
||||
Fri, 16 Sep 2022 15:48:10: Epoch [10/25], Step [1050/1289], Loss: 0.0535
|
||||
Fri, 16 Sep 2022 15:48:10: Epoch [10/25], Step [1100/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 15:48:10: Epoch [10/25], Step [1150/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 15:48:10: Epoch [10/25], Step [1200/1289], Loss: 0.0855
|
||||
Fri, 16 Sep 2022 15:48:10: Epoch [10/25], Step [1250/1289], Loss: 0.0611
|
||||
Fri, 16 Sep 2022 15:48:11: Epoch [11/25], Step [50/1289], Loss: 0.1422
|
||||
Fri, 16 Sep 2022 15:48:11: Epoch [11/25], Step [100/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 15:48:11: Epoch [11/25], Step [150/1289], Loss: 0.0792
|
||||
Fri, 16 Sep 2022 15:48:12: Epoch [11/25], Step [200/1289], Loss: 0.0353
|
||||
Fri, 16 Sep 2022 15:48:12: Epoch [11/25], Step [250/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 15:48:12: Epoch [11/25], Step [300/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 15:48:12: Epoch [11/25], Step [350/1289], Loss: 0.0633
|
||||
Fri, 16 Sep 2022 15:48:12: Epoch [11/25], Step [400/1289], Loss: 0.0580
|
||||
Fri, 16 Sep 2022 15:48:13: Epoch [11/25], Step [450/1289], Loss: 0.0701
|
||||
Fri, 16 Sep 2022 15:48:13: Epoch [11/25], Step [500/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 15:48:13: Epoch [11/25], Step [550/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:48:13: Epoch [11/25], Step [600/1289], Loss: 0.0586
|
||||
Fri, 16 Sep 2022 15:48:14: Epoch [11/25], Step [650/1289], Loss: 0.0552
|
||||
Fri, 16 Sep 2022 15:48:14: Epoch [11/25], Step [700/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 15:48:14: Epoch [11/25], Step [750/1289], Loss: 0.0909
|
||||
Fri, 16 Sep 2022 15:48:14: Epoch [11/25], Step [800/1289], Loss: 0.1182
|
||||
Fri, 16 Sep 2022 15:48:15: Epoch [11/25], Step [850/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 15:48:15: Epoch [11/25], Step [900/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 15:48:15: Epoch [11/25], Step [950/1289], Loss: 0.0826
|
||||
Fri, 16 Sep 2022 15:48:15: Epoch [11/25], Step [1000/1289], Loss: 0.0401
|
||||
Fri, 16 Sep 2022 15:48:15: Epoch [11/25], Step [1050/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 15:48:16: Epoch [11/25], Step [1100/1289], Loss: 0.0904
|
||||
Fri, 16 Sep 2022 15:48:16: Epoch [11/25], Step [1150/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 15:48:16: Epoch [11/25], Step [1200/1289], Loss: 0.0195
|
||||
Fri, 16 Sep 2022 15:48:17: Epoch [11/25], Step [1250/1289], Loss: 0.0777
|
||||
Fri, 16 Sep 2022 15:48:17: Epoch [12/25], Step [50/1289], Loss: 0.0885
|
||||
Fri, 16 Sep 2022 15:48:17: Epoch [12/25], Step [100/1289], Loss: 0.0288
|
||||
Fri, 16 Sep 2022 15:48:18: Epoch [12/25], Step [150/1289], Loss: 0.0639
|
||||
Fri, 16 Sep 2022 15:48:18: Epoch [12/25], Step [200/1289], Loss: 0.0753
|
||||
Fri, 16 Sep 2022 15:48:18: Epoch [12/25], Step [250/1289], Loss: 0.0639
|
||||
Fri, 16 Sep 2022 15:48:18: Epoch [12/25], Step [300/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 15:48:18: Epoch [12/25], Step [350/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 15:48:19: Epoch [12/25], Step [400/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 15:48:19: Epoch [12/25], Step [450/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 15:48:19: Epoch [12/25], Step [500/1289], Loss: 0.0177
|
||||
Fri, 16 Sep 2022 15:48:19: Epoch [12/25], Step [550/1289], Loss: 0.0624
|
||||
Fri, 16 Sep 2022 15:48:20: Epoch [12/25], Step [600/1289], Loss: 0.1097
|
||||
Fri, 16 Sep 2022 15:48:20: Epoch [12/25], Step [650/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 15:48:20: Epoch [12/25], Step [700/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 15:48:20: Epoch [12/25], Step [750/1289], Loss: 0.0317
|
||||
Fri, 16 Sep 2022 15:48:21: Epoch [12/25], Step [800/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 15:48:21: Epoch [12/25], Step [850/1289], Loss: 0.1033
|
||||
Fri, 16 Sep 2022 15:48:21: Epoch [12/25], Step [900/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 15:48:21: Epoch [12/25], Step [950/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 15:48:22: Epoch [12/25], Step [1000/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 15:48:22: Epoch [12/25], Step [1050/1289], Loss: 0.1452
|
||||
Fri, 16 Sep 2022 15:48:22: Epoch [12/25], Step [1100/1289], Loss: 0.0926
|
||||
Fri, 16 Sep 2022 15:48:22: Epoch [12/25], Step [1150/1289], Loss: 0.1140
|
||||
Fri, 16 Sep 2022 15:48:22: Epoch [12/25], Step [1200/1289], Loss: 0.0666
|
||||
Fri, 16 Sep 2022 15:48:23: Epoch [12/25], Step [1250/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 15:48:23: Epoch [13/25], Step [50/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 15:48:23: Epoch [13/25], Step [100/1289], Loss: 0.1242
|
||||
Fri, 16 Sep 2022 15:48:24: Epoch [13/25], Step [150/1289], Loss: 0.1010
|
||||
Fri, 16 Sep 2022 15:48:24: Epoch [13/25], Step [200/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 15:48:24: Epoch [13/25], Step [250/1289], Loss: 0.0366
|
||||
Fri, 16 Sep 2022 15:48:24: Epoch [13/25], Step [300/1289], Loss: 0.1142
|
||||
Fri, 16 Sep 2022 15:48:25: Epoch [13/25], Step [350/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 15:48:25: Epoch [13/25], Step [400/1289], Loss: 0.0576
|
||||
Fri, 16 Sep 2022 15:48:25: Epoch [13/25], Step [450/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 15:48:25: Epoch [13/25], Step [500/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 15:48:25: Epoch [13/25], Step [550/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 15:48:26: Epoch [13/25], Step [600/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 15:48:26: Epoch [13/25], Step [650/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 15:48:26: Epoch [13/25], Step [700/1289], Loss: 0.0654
|
||||
Fri, 16 Sep 2022 15:48:26: Epoch [13/25], Step [750/1289], Loss: 0.1241
|
||||
Fri, 16 Sep 2022 15:48:27: Epoch [13/25], Step [800/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 15:48:27: Epoch [13/25], Step [850/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 15:48:27: Epoch [13/25], Step [900/1289], Loss: 0.0119
|
||||
Fri, 16 Sep 2022 15:48:27: Epoch [13/25], Step [950/1289], Loss: 0.0138
|
||||
Fri, 16 Sep 2022 15:48:27: Epoch [13/25], Step [1000/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 15:48:28: Epoch [13/25], Step [1050/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 15:48:28: Epoch [13/25], Step [1100/1289], Loss: 0.1361
|
||||
Fri, 16 Sep 2022 15:48:28: Epoch [13/25], Step [1150/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 15:48:28: Epoch [13/25], Step [1200/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 15:48:29: Epoch [13/25], Step [1250/1289], Loss: 0.1515
|
||||
Fri, 16 Sep 2022 15:48:29: Epoch [14/25], Step [50/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 15:48:29: Epoch [14/25], Step [100/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 15:48:29: Epoch [14/25], Step [150/1289], Loss: 0.0319
|
||||
Fri, 16 Sep 2022 15:48:30: Epoch [14/25], Step [200/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 15:48:30: Epoch [14/25], Step [250/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 15:48:30: Epoch [14/25], Step [300/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 15:48:30: Epoch [14/25], Step [350/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 15:48:31: Epoch [14/25], Step [400/1289], Loss: 0.0368
|
||||
Fri, 16 Sep 2022 15:48:31: Epoch [14/25], Step [450/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 15:48:31: Epoch [14/25], Step [500/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 15:48:31: Epoch [14/25], Step [550/1289], Loss: 0.1201
|
||||
Fri, 16 Sep 2022 15:48:32: Epoch [14/25], Step [600/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 15:48:32: Epoch [14/25], Step [650/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 15:48:32: Epoch [14/25], Step [700/1289], Loss: 0.1379
|
||||
Fri, 16 Sep 2022 15:48:32: Epoch [14/25], Step [750/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 15:48:33: Epoch [14/25], Step [800/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 15:48:33: Epoch [14/25], Step [850/1289], Loss: 0.0545
|
||||
Fri, 16 Sep 2022 15:48:33: Epoch [14/25], Step [900/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 15:48:33: Epoch [14/25], Step [950/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 15:48:34: Epoch [14/25], Step [1000/1289], Loss: 0.0728
|
||||
Fri, 16 Sep 2022 15:48:34: Epoch [14/25], Step [1050/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 15:48:34: Epoch [14/25], Step [1100/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 15:48:34: Epoch [14/25], Step [1150/1289], Loss: 0.0998
|
||||
Fri, 16 Sep 2022 15:48:35: Epoch [14/25], Step [1200/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 15:48:35: Epoch [14/25], Step [1250/1289], Loss: 0.0642
|
||||
Fri, 16 Sep 2022 15:48:35: Epoch [15/25], Step [50/1289], Loss: 0.0630
|
||||
Fri, 16 Sep 2022 15:48:36: Epoch [15/25], Step [100/1289], Loss: 0.0398
|
||||
Fri, 16 Sep 2022 15:48:36: Epoch [15/25], Step [150/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 15:48:36: Epoch [15/25], Step [200/1289], Loss: 0.0706
|
||||
Fri, 16 Sep 2022 15:48:36: Epoch [15/25], Step [250/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 15:48:37: Epoch [15/25], Step [300/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 15:48:37: Epoch [15/25], Step [350/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 15:48:37: Epoch [15/25], Step [400/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 15:48:37: Epoch [15/25], Step [450/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 15:48:38: Epoch [15/25], Step [500/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 15:48:38: Epoch [15/25], Step [550/1289], Loss: 0.0317
|
||||
Fri, 16 Sep 2022 15:48:38: Epoch [15/25], Step [600/1289], Loss: 0.0732
|
||||
Fri, 16 Sep 2022 15:48:38: Epoch [15/25], Step [650/1289], Loss: 0.0421
|
||||
Fri, 16 Sep 2022 15:48:38: Epoch [15/25], Step [700/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 15:48:39: Epoch [15/25], Step [750/1289], Loss: 0.1763
|
||||
Fri, 16 Sep 2022 15:48:39: Epoch [15/25], Step [800/1289], Loss: 0.0162
|
||||
Fri, 16 Sep 2022 15:48:39: Epoch [15/25], Step [850/1289], Loss: 0.0540
|
||||
Fri, 16 Sep 2022 15:48:39: Epoch [15/25], Step [900/1289], Loss: 0.0800
|
||||
Fri, 16 Sep 2022 15:48:40: Epoch [15/25], Step [950/1289], Loss: 0.0724
|
||||
Fri, 16 Sep 2022 15:48:40: Epoch [15/25], Step [1000/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 15:48:40: Epoch [15/25], Step [1050/1289], Loss: 0.1279
|
||||
Fri, 16 Sep 2022 15:48:40: Epoch [15/25], Step [1100/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 15:48:41: Epoch [15/25], Step [1150/1289], Loss: 0.1596
|
||||
Fri, 16 Sep 2022 15:48:41: Epoch [15/25], Step [1200/1289], Loss: 0.0735
|
||||
Fri, 16 Sep 2022 15:48:41: Epoch [15/25], Step [1250/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 15:48:42: Epoch [16/25], Step [50/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 15:48:42: Epoch [16/25], Step [100/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 15:48:42: Epoch [16/25], Step [150/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 15:48:43: Epoch [16/25], Step [200/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 15:48:43: Epoch [16/25], Step [250/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 15:48:43: Epoch [16/25], Step [300/1289], Loss: 0.1201
|
||||
Fri, 16 Sep 2022 15:48:43: Epoch [16/25], Step [350/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 15:48:44: Epoch [16/25], Step [400/1289], Loss: 0.0786
|
||||
Fri, 16 Sep 2022 15:48:44: Epoch [16/25], Step [450/1289], Loss: 0.0960
|
||||
Fri, 16 Sep 2022 15:48:44: Epoch [16/25], Step [500/1289], Loss: 0.0762
|
||||
Fri, 16 Sep 2022 15:48:44: Epoch [16/25], Step [550/1289], Loss: 0.0876
|
||||
Fri, 16 Sep 2022 15:48:45: Epoch [16/25], Step [600/1289], Loss: 0.0402
|
||||
Fri, 16 Sep 2022 15:48:45: Epoch [16/25], Step [650/1289], Loss: 0.0341
|
||||
Fri, 16 Sep 2022 15:48:45: Epoch [16/25], Step [700/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 15:48:45: Epoch [16/25], Step [750/1289], Loss: 0.0898
|
||||
Fri, 16 Sep 2022 15:48:45: Epoch [16/25], Step [800/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 15:48:46: Epoch [16/25], Step [850/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 15:48:46: Epoch [16/25], Step [900/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 15:48:46: Epoch [16/25], Step [950/1289], Loss: 0.0082
|
||||
Fri, 16 Sep 2022 15:48:46: Epoch [16/25], Step [1000/1289], Loss: 0.1012
|
||||
Fri, 16 Sep 2022 15:48:47: Epoch [16/25], Step [1050/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 15:48:47: Epoch [16/25], Step [1100/1289], Loss: 0.0260
|
||||
Fri, 16 Sep 2022 15:48:47: Epoch [16/25], Step [1150/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 15:48:47: Epoch [16/25], Step [1200/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 15:48:47: Epoch [16/25], Step [1250/1289], Loss: 0.0742
|
||||
Fri, 16 Sep 2022 15:48:48: Epoch [17/25], Step [50/1289], Loss: 0.0228
|
||||
Fri, 16 Sep 2022 15:48:48: Epoch [17/25], Step [100/1289], Loss: 0.0440
|
||||
Fri, 16 Sep 2022 15:48:48: Epoch [17/25], Step [150/1289], Loss: 0.0179
|
||||
Fri, 16 Sep 2022 15:48:49: Epoch [17/25], Step [200/1289], Loss: 0.0061
|
||||
Fri, 16 Sep 2022 15:48:49: Epoch [17/25], Step [250/1289], Loss: 0.0397
|
||||
Fri, 16 Sep 2022 15:48:49: Epoch [17/25], Step [300/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 15:48:49: Epoch [17/25], Step [350/1289], Loss: 0.0451
|
||||
Fri, 16 Sep 2022 15:48:50: Epoch [17/25], Step [400/1289], Loss: 0.0074
|
||||
Fri, 16 Sep 2022 15:48:50: Epoch [17/25], Step [450/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 15:48:50: Epoch [17/25], Step [500/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 15:48:50: Epoch [17/25], Step [550/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 15:48:51: Epoch [17/25], Step [600/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 15:48:51: Epoch [17/25], Step [650/1289], Loss: 0.0151
|
||||
Fri, 16 Sep 2022 15:48:51: Epoch [17/25], Step [700/1289], Loss: 0.0232
|
||||
Fri, 16 Sep 2022 15:48:52: Epoch [17/25], Step [750/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 15:48:52: Epoch [17/25], Step [800/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 15:48:52: Epoch [17/25], Step [850/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 15:48:52: Epoch [17/25], Step [900/1289], Loss: 0.0652
|
||||
Fri, 16 Sep 2022 15:48:53: Epoch [17/25], Step [950/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 15:48:53: Epoch [17/25], Step [1000/1289], Loss: 0.0345
|
||||
Fri, 16 Sep 2022 15:48:53: Epoch [17/25], Step [1050/1289], Loss: 0.0088
|
||||
Fri, 16 Sep 2022 15:48:53: Epoch [17/25], Step [1100/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 15:48:54: Epoch [17/25], Step [1150/1289], Loss: 0.0729
|
||||
Fri, 16 Sep 2022 15:48:54: Epoch [17/25], Step [1200/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 15:48:54: Epoch [17/25], Step [1250/1289], Loss: 0.0711
|
||||
Fri, 16 Sep 2022 15:48:54: Epoch [18/25], Step [50/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 15:48:55: Epoch [18/25], Step [100/1289], Loss: 0.0623
|
||||
Fri, 16 Sep 2022 15:48:55: Epoch [18/25], Step [150/1289], Loss: 0.0551
|
||||
Fri, 16 Sep 2022 15:48:55: Epoch [18/25], Step [200/1289], Loss: 0.0337
|
||||
Fri, 16 Sep 2022 15:48:55: Epoch [18/25], Step [250/1289], Loss: 0.0233
|
||||
Fri, 16 Sep 2022 15:48:56: Epoch [18/25], Step [300/1289], Loss: 0.0343
|
||||
Fri, 16 Sep 2022 15:48:56: Epoch [18/25], Step [350/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 15:48:56: Epoch [18/25], Step [400/1289], Loss: 0.0106
|
||||
Fri, 16 Sep 2022 15:48:56: Epoch [18/25], Step [450/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 15:48:57: Epoch [18/25], Step [500/1289], Loss: 0.0589
|
||||
Fri, 16 Sep 2022 15:48:57: Epoch [18/25], Step [550/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 15:48:57: Epoch [18/25], Step [600/1289], Loss: 0.0691
|
||||
Fri, 16 Sep 2022 15:48:57: Epoch [18/25], Step [650/1289], Loss: 0.0228
|
||||
Fri, 16 Sep 2022 15:48:58: Epoch [18/25], Step [700/1289], Loss: 0.0968
|
||||
Fri, 16 Sep 2022 15:48:58: Epoch [18/25], Step [750/1289], Loss: 0.0251
|
||||
Fri, 16 Sep 2022 15:48:58: Epoch [18/25], Step [800/1289], Loss: 0.0124
|
||||
Fri, 16 Sep 2022 15:48:58: Epoch [18/25], Step [850/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 15:48:59: Epoch [18/25], Step [900/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 15:48:59: Epoch [18/25], Step [950/1289], Loss: 0.0114
|
||||
Fri, 16 Sep 2022 15:48:59: Epoch [18/25], Step [1000/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 15:48:59: Epoch [18/25], Step [1050/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 15:48:59: Epoch [18/25], Step [1100/1289], Loss: 0.0792
|
||||
Fri, 16 Sep 2022 15:49:00: Epoch [18/25], Step [1150/1289], Loss: 0.0395
|
||||
Fri, 16 Sep 2022 15:49:00: Epoch [18/25], Step [1200/1289], Loss: 0.0382
|
||||
Fri, 16 Sep 2022 15:49:00: Epoch [18/25], Step [1250/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 15:49:01: Epoch [19/25], Step [50/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 15:49:01: Epoch [19/25], Step [100/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 15:49:01: Epoch [19/25], Step [150/1289], Loss: 0.0988
|
||||
Fri, 16 Sep 2022 15:49:01: Epoch [19/25], Step [200/1289], Loss: 0.0859
|
||||
Fri, 16 Sep 2022 15:49:02: Epoch [19/25], Step [250/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 15:49:02: Epoch [19/25], Step [300/1289], Loss: 0.0917
|
||||
Fri, 16 Sep 2022 15:49:02: Epoch [19/25], Step [350/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 15:49:02: Epoch [19/25], Step [400/1289], Loss: 0.0215
|
||||
Fri, 16 Sep 2022 15:49:03: Epoch [19/25], Step [450/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 15:49:03: Epoch [19/25], Step [500/1289], Loss: 0.0293
|
||||
Fri, 16 Sep 2022 15:49:03: Epoch [19/25], Step [550/1289], Loss: 0.0896
|
||||
Fri, 16 Sep 2022 15:49:03: Epoch [19/25], Step [600/1289], Loss: 0.0622
|
||||
Fri, 16 Sep 2022 15:49:03: Epoch [19/25], Step [650/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 15:49:04: Epoch [19/25], Step [700/1289], Loss: 0.0249
|
||||
Fri, 16 Sep 2022 15:49:04: Epoch [19/25], Step [750/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 15:49:04: Epoch [19/25], Step [800/1289], Loss: 0.0535
|
||||
Fri, 16 Sep 2022 15:49:04: Epoch [19/25], Step [850/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:49:05: Epoch [19/25], Step [900/1289], Loss: 0.0528
|
||||
Fri, 16 Sep 2022 15:49:05: Epoch [19/25], Step [950/1289], Loss: 0.0284
|
||||
Fri, 16 Sep 2022 15:49:05: Epoch [19/25], Step [1000/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 15:49:05: Epoch [19/25], Step [1050/1289], Loss: 0.0343
|
||||
Fri, 16 Sep 2022 15:49:05: Epoch [19/25], Step [1100/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 15:49:06: Epoch [19/25], Step [1150/1289], Loss: 0.0539
|
||||
Fri, 16 Sep 2022 15:49:06: Epoch [19/25], Step [1200/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 15:49:06: Epoch [19/25], Step [1250/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 15:49:06: Epoch [20/25], Step [50/1289], Loss: 0.0812
|
||||
Fri, 16 Sep 2022 15:49:07: Epoch [20/25], Step [100/1289], Loss: 0.0694
|
||||
Fri, 16 Sep 2022 15:49:07: Epoch [20/25], Step [150/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 15:49:07: Epoch [20/25], Step [200/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:49:07: Epoch [20/25], Step [250/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 15:49:08: Epoch [20/25], Step [300/1289], Loss: 0.0204
|
||||
Fri, 16 Sep 2022 15:49:08: Epoch [20/25], Step [350/1289], Loss: 0.0187
|
||||
Fri, 16 Sep 2022 15:49:08: Epoch [20/25], Step [400/1289], Loss: 0.0346
|
||||
Fri, 16 Sep 2022 15:49:08: Epoch [20/25], Step [450/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 15:49:08: Epoch [20/25], Step [500/1289], Loss: 0.0418
|
||||
Fri, 16 Sep 2022 15:49:09: Epoch [20/25], Step [550/1289], Loss: 0.1090
|
||||
Fri, 16 Sep 2022 15:49:09: Epoch [20/25], Step [600/1289], Loss: 0.0348
|
||||
Fri, 16 Sep 2022 15:49:09: Epoch [20/25], Step [650/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 15:49:09: Epoch [20/25], Step [700/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 15:49:10: Epoch [20/25], Step [750/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 15:49:10: Epoch [20/25], Step [800/1289], Loss: 0.0621
|
||||
Fri, 16 Sep 2022 15:49:10: Epoch [20/25], Step [850/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 15:49:10: Epoch [20/25], Step [900/1289], Loss: 0.0231
|
||||
Fri, 16 Sep 2022 15:49:11: Epoch [20/25], Step [950/1289], Loss: 0.0760
|
||||
Fri, 16 Sep 2022 15:49:11: Epoch [20/25], Step [1000/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 15:49:11: Epoch [20/25], Step [1050/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 15:49:11: Epoch [20/25], Step [1100/1289], Loss: 0.0062
|
||||
Fri, 16 Sep 2022 15:49:11: Epoch [20/25], Step [1150/1289], Loss: 0.0193
|
||||
Fri, 16 Sep 2022 15:49:12: Epoch [20/25], Step [1200/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 15:49:12: Epoch [20/25], Step [1250/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 15:49:12: Epoch [21/25], Step [50/1289], Loss: 0.1155
|
||||
Fri, 16 Sep 2022 15:49:13: Epoch [21/25], Step [100/1289], Loss: 0.0130
|
||||
Fri, 16 Sep 2022 15:49:13: Epoch [21/25], Step [150/1289], Loss: 0.0486
|
||||
Fri, 16 Sep 2022 15:49:13: Epoch [21/25], Step [200/1289], Loss: 0.0334
|
||||
Fri, 16 Sep 2022 15:49:13: Epoch [21/25], Step [250/1289], Loss: 0.0281
|
||||
Fri, 16 Sep 2022 15:49:13: Epoch [21/25], Step [300/1289], Loss: 0.0208
|
||||
Fri, 16 Sep 2022 15:49:14: Epoch [21/25], Step [350/1289], Loss: 0.0258
|
||||
Fri, 16 Sep 2022 15:49:14: Epoch [21/25], Step [400/1289], Loss: 0.0425
|
||||
Fri, 16 Sep 2022 15:49:14: Epoch [21/25], Step [450/1289], Loss: 0.0074
|
||||
Fri, 16 Sep 2022 15:49:14: Epoch [21/25], Step [500/1289], Loss: 0.0130
|
||||
Fri, 16 Sep 2022 15:49:15: Epoch [21/25], Step [550/1289], Loss: 0.0125
|
||||
Fri, 16 Sep 2022 15:49:15: Epoch [21/25], Step [600/1289], Loss: 0.0805
|
||||
Fri, 16 Sep 2022 15:49:15: Epoch [21/25], Step [650/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 15:49:15: Epoch [21/25], Step [700/1289], Loss: 0.1004
|
||||
Fri, 16 Sep 2022 15:49:15: Epoch [21/25], Step [750/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 15:49:16: Epoch [21/25], Step [800/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 15:49:16: Epoch [21/25], Step [850/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 15:49:16: Epoch [21/25], Step [900/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 15:49:16: Epoch [21/25], Step [950/1289], Loss: 0.1069
|
||||
Fri, 16 Sep 2022 15:49:17: Epoch [21/25], Step [1000/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 15:49:17: Epoch [21/25], Step [1050/1289], Loss: 0.0280
|
||||
Fri, 16 Sep 2022 15:49:17: Epoch [21/25], Step [1100/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 15:49:17: Epoch [21/25], Step [1150/1289], Loss: 0.0117
|
||||
Fri, 16 Sep 2022 15:49:17: Epoch [21/25], Step [1200/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 15:49:18: Epoch [21/25], Step [1250/1289], Loss: 0.0218
|
||||
Fri, 16 Sep 2022 15:49:18: Epoch [22/25], Step [50/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 15:49:18: Epoch [22/25], Step [100/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 15:49:19: Epoch [22/25], Step [150/1289], Loss: 0.0459
|
||||
Fri, 16 Sep 2022 15:49:19: Epoch [22/25], Step [200/1289], Loss: 0.0365
|
||||
Fri, 16 Sep 2022 15:49:19: Epoch [22/25], Step [250/1289], Loss: 0.0152
|
||||
Fri, 16 Sep 2022 15:49:19: Epoch [22/25], Step [300/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 15:49:19: Epoch [22/25], Step [350/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 15:49:20: Epoch [22/25], Step [400/1289], Loss: 0.0152
|
||||
Fri, 16 Sep 2022 15:49:20: Epoch [22/25], Step [450/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 15:49:20: Epoch [22/25], Step [500/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 15:49:20: Epoch [22/25], Step [550/1289], Loss: 0.0693
|
||||
Fri, 16 Sep 2022 15:49:21: Epoch [22/25], Step [600/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 15:49:21: Epoch [22/25], Step [650/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 15:49:21: Epoch [22/25], Step [700/1289], Loss: 0.0309
|
||||
Fri, 16 Sep 2022 15:49:21: Epoch [22/25], Step [750/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 15:49:21: Epoch [22/25], Step [800/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 15:49:22: Epoch [22/25], Step [850/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 15:49:22: Epoch [22/25], Step [900/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 15:49:22: Epoch [22/25], Step [950/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 15:49:22: Epoch [22/25], Step [1000/1289], Loss: 0.0653
|
||||
Fri, 16 Sep 2022 15:49:23: Epoch [22/25], Step [1050/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:49:23: Epoch [22/25], Step [1100/1289], Loss: 0.0890
|
||||
Fri, 16 Sep 2022 15:49:23: Epoch [22/25], Step [1150/1289], Loss: 0.0056
|
||||
Fri, 16 Sep 2022 15:49:23: Epoch [22/25], Step [1200/1289], Loss: 0.0567
|
||||
Fri, 16 Sep 2022 15:49:23: Epoch [22/25], Step [1250/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 15:49:24: Epoch [23/25], Step [50/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 15:49:24: Epoch [23/25], Step [100/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 15:49:24: Epoch [23/25], Step [150/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 15:49:25: Epoch [23/25], Step [200/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 15:49:25: Epoch [23/25], Step [250/1289], Loss: 0.0900
|
||||
Fri, 16 Sep 2022 15:49:25: Epoch [23/25], Step [300/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 15:49:25: Epoch [23/25], Step [350/1289], Loss: 0.0281
|
||||
Fri, 16 Sep 2022 15:49:25: Epoch [23/25], Step [400/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 15:49:26: Epoch [23/25], Step [450/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 15:49:26: Epoch [23/25], Step [500/1289], Loss: 0.0522
|
||||
Fri, 16 Sep 2022 15:49:26: Epoch [23/25], Step [550/1289], Loss: 0.0296
|
||||
Fri, 16 Sep 2022 15:49:26: Epoch [23/25], Step [600/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 15:49:27: Epoch [23/25], Step [650/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 15:49:27: Epoch [23/25], Step [700/1289], Loss: 0.0777
|
||||
Fri, 16 Sep 2022 15:49:27: Epoch [23/25], Step [750/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 15:49:27: Epoch [23/25], Step [800/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 15:49:27: Epoch [23/25], Step [850/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 15:49:28: Epoch [23/25], Step [900/1289], Loss: 0.0411
|
||||
Fri, 16 Sep 2022 15:49:28: Epoch [23/25], Step [950/1289], Loss: 0.0113
|
||||
Fri, 16 Sep 2022 15:49:28: Epoch [23/25], Step [1000/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 15:49:28: Epoch [23/25], Step [1050/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 15:49:29: Epoch [23/25], Step [1100/1289], Loss: 0.0699
|
||||
Fri, 16 Sep 2022 15:49:29: Epoch [23/25], Step [1150/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:49:29: Epoch [23/25], Step [1200/1289], Loss: 0.0486
|
||||
Fri, 16 Sep 2022 15:49:29: Epoch [23/25], Step [1250/1289], Loss: 0.2157
|
||||
Fri, 16 Sep 2022 15:49:30: Epoch [24/25], Step [50/1289], Loss: 0.0038
|
||||
Fri, 16 Sep 2022 15:49:30: Epoch [24/25], Step [100/1289], Loss: 0.0053
|
||||
Fri, 16 Sep 2022 15:49:30: Epoch [24/25], Step [150/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 15:49:30: Epoch [24/25], Step [200/1289], Loss: 0.0273
|
||||
Fri, 16 Sep 2022 15:49:31: Epoch [24/25], Step [250/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 15:49:31: Epoch [24/25], Step [300/1289], Loss: 0.1815
|
||||
Fri, 16 Sep 2022 15:49:31: Epoch [24/25], Step [350/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 15:49:31: Epoch [24/25], Step [400/1289], Loss: 0.1223
|
||||
Fri, 16 Sep 2022 15:49:31: Epoch [24/25], Step [450/1289], Loss: 0.0826
|
||||
Fri, 16 Sep 2022 15:49:32: Epoch [24/25], Step [500/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 15:49:32: Epoch [24/25], Step [550/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 15:49:32: Epoch [24/25], Step [600/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 15:49:32: Epoch [24/25], Step [650/1289], Loss: 0.0048
|
||||
Fri, 16 Sep 2022 15:49:33: Epoch [24/25], Step [700/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 15:49:33: Epoch [24/25], Step [750/1289], Loss: 0.0900
|
||||
Fri, 16 Sep 2022 15:49:33: Epoch [24/25], Step [800/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 15:49:33: Epoch [24/25], Step [850/1289], Loss: 0.0255
|
||||
Fri, 16 Sep 2022 15:49:33: Epoch [24/25], Step [900/1289], Loss: 0.0584
|
||||
Fri, 16 Sep 2022 15:49:34: Epoch [24/25], Step [950/1289], Loss: 0.0886
|
||||
Fri, 16 Sep 2022 15:49:34: Epoch [24/25], Step [1000/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 15:49:34: Epoch [24/25], Step [1050/1289], Loss: 0.0986
|
||||
Fri, 16 Sep 2022 15:49:34: Epoch [24/25], Step [1100/1289], Loss: 0.0303
|
||||
Fri, 16 Sep 2022 15:49:35: Epoch [24/25], Step [1150/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 15:49:35: Epoch [24/25], Step [1200/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 15:49:35: Epoch [24/25], Step [1250/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 15:49:35: Epoch [25/25], Step [50/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 15:49:36: Epoch [25/25], Step [100/1289], Loss: 0.0881
|
||||
Fri, 16 Sep 2022 15:49:36: Epoch [25/25], Step [150/1289], Loss: 0.0402
|
||||
Fri, 16 Sep 2022 15:49:36: Epoch [25/25], Step [200/1289], Loss: 0.1009
|
||||
Fri, 16 Sep 2022 15:49:36: Epoch [25/25], Step [250/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 15:49:37: Epoch [25/25], Step [300/1289], Loss: 0.0382
|
||||
Fri, 16 Sep 2022 15:49:37: Epoch [25/25], Step [350/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 15:49:37: Epoch [25/25], Step [400/1289], Loss: 0.0284
|
||||
Fri, 16 Sep 2022 15:49:37: Epoch [25/25], Step [450/1289], Loss: 0.0799
|
||||
Fri, 16 Sep 2022 15:49:37: Epoch [25/25], Step [500/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 15:49:38: Epoch [25/25], Step [550/1289], Loss: 0.0522
|
||||
Fri, 16 Sep 2022 15:49:38: Epoch [25/25], Step [600/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 15:49:38: Epoch [25/25], Step [650/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 15:49:38: Epoch [25/25], Step [700/1289], Loss: 0.0123
|
||||
Fri, 16 Sep 2022 15:49:39: Epoch [25/25], Step [750/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 15:49:39: Epoch [25/25], Step [800/1289], Loss: 0.0353
|
||||
Fri, 16 Sep 2022 15:49:39: Epoch [25/25], Step [850/1289], Loss: 0.0288
|
||||
Fri, 16 Sep 2022 15:49:39: Epoch [25/25], Step [900/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 15:49:39: Epoch [25/25], Step [950/1289], Loss: 0.0061
|
||||
Fri, 16 Sep 2022 15:49:40: Epoch [25/25], Step [1000/1289], Loss: 0.0071
|
||||
Fri, 16 Sep 2022 15:49:40: Epoch [25/25], Step [1050/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 15:49:40: Epoch [25/25], Step [1100/1289], Loss: 0.0418
|
||||
Fri, 16 Sep 2022 15:49:40: Epoch [25/25], Step [1150/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 15:49:41: Epoch [25/25], Step [1200/1289], Loss: 0.0064
|
||||
Fri, 16 Sep 2022 15:49:41: Epoch [25/25], Step [1250/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 15:49:41: start testing on test dataset
|
||||
Fri, 16 Sep 2022 15:49:42: f1 :0.962202817260501
|
||||
Fri, 16 Sep 2022 15:49:42:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9391 0.9905 0.9641 16090
|
||||
1 0.9900 0.9360 0.9622 16129
|
||||
|
||||
accuracy 0.9632 32219
|
||||
macro avg 0.9645 0.9632 0.9632 32219
|
||||
weighted avg 0.9646 0.9632 0.9632 32219
|
||||
|
||||
Fri, 16 Sep 2022 15:49:42:
|
||||
[[15937 153]
|
||||
[ 1033 15096]]
|
||||
Fri, 16 Sep 2022 15:49:42: high_num,high_true,high_false:5540,5075,465
|
||||
Fri, 16 Sep 2022 15:49:42: low_num,low_true,low_false:10589,10021,568
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:25:42: -------------
|
||||
Fri, 16 Sep 2022 16:25:42: layers:(gru,fully connnected layer)-(2,2)
|
||||
Fri, 16 Sep 2022 16:25:43: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:25:43: model parameters - num_layers:2, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:25:43: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:25:43: reading csv file
|
||||
Fri, 16 Sep 2022 16:25:43: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:25:54: procols num: 31
|
||||
Fri, 16 Sep 2022 16:25:54: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:27:17: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:27:19: loader already prepared
|
||||
Fri, 16 Sep 2022 16:27:19: loader中(0:normal,1:high,2:low):Counter({0: 16091, 2: 10605, 1: 5523})
|
||||
Fri, 16 Sep 2022 16:27:20: start training
|
||||
Fri, 16 Sep 2022 16:27:20: Epoch [1/25], Step [50/1289], Loss: 0.4245
|
||||
Fri, 16 Sep 2022 16:27:21: Epoch [1/25], Step [100/1289], Loss: 0.5627
|
||||
Fri, 16 Sep 2022 16:27:21: Epoch [1/25], Step [150/1289], Loss: 0.5006
|
||||
Fri, 16 Sep 2022 16:27:21: Epoch [1/25], Step [200/1289], Loss: 0.3203
|
||||
Fri, 16 Sep 2022 16:27:21: Epoch [1/25], Step [250/1289], Loss: 0.3056
|
||||
Fri, 16 Sep 2022 16:27:22: Epoch [1/25], Step [300/1289], Loss: 0.3066
|
||||
Fri, 16 Sep 2022 16:27:22: Epoch [1/25], Step [350/1289], Loss: 0.2283
|
||||
Fri, 16 Sep 2022 16:27:23: Epoch [1/25], Step [400/1289], Loss: 0.0999
|
||||
Fri, 16 Sep 2022 16:27:23: Epoch [1/25], Step [450/1289], Loss: 0.1465
|
||||
Fri, 16 Sep 2022 16:27:23: Epoch [1/25], Step [500/1289], Loss: 0.2462
|
||||
Fri, 16 Sep 2022 16:27:24: Epoch [1/25], Step [550/1289], Loss: 0.2130
|
||||
Fri, 16 Sep 2022 16:27:24: Epoch [1/25], Step [600/1289], Loss: 0.2005
|
||||
Fri, 16 Sep 2022 16:27:24: Epoch [1/25], Step [650/1289], Loss: 0.2956
|
||||
Fri, 16 Sep 2022 16:27:24: Epoch [1/25], Step [700/1289], Loss: 0.1289
|
||||
Fri, 16 Sep 2022 16:27:25: Epoch [1/25], Step [750/1289], Loss: 0.1965
|
||||
Fri, 16 Sep 2022 16:27:25: Epoch [1/25], Step [800/1289], Loss: 0.1373
|
||||
Fri, 16 Sep 2022 16:27:25: Epoch [1/25], Step [850/1289], Loss: 0.2250
|
||||
Fri, 16 Sep 2022 16:27:25: Epoch [1/25], Step [900/1289], Loss: 0.2115
|
||||
Fri, 16 Sep 2022 16:27:26: Epoch [1/25], Step [950/1289], Loss: 0.1116
|
||||
Fri, 16 Sep 2022 16:27:26: Epoch [1/25], Step [1000/1289], Loss: 0.1150
|
||||
Fri, 16 Sep 2022 16:27:26: Epoch [1/25], Step [1050/1289], Loss: 0.1261
|
||||
Fri, 16 Sep 2022 16:27:26: Epoch [1/25], Step [1100/1289], Loss: 0.1250
|
||||
Fri, 16 Sep 2022 16:27:27: Epoch [1/25], Step [1150/1289], Loss: 0.1879
|
||||
Fri, 16 Sep 2022 16:27:27: Epoch [1/25], Step [1200/1289], Loss: 0.1233
|
||||
Fri, 16 Sep 2022 16:27:27: Epoch [1/25], Step [1250/1289], Loss: 0.1642
|
||||
Fri, 16 Sep 2022 16:27:28: Epoch [2/25], Step [50/1289], Loss: 0.1818
|
||||
Fri, 16 Sep 2022 16:27:28: Epoch [2/25], Step [100/1289], Loss: 0.3048
|
||||
Fri, 16 Sep 2022 16:27:28: Epoch [2/25], Step [150/1289], Loss: 0.1197
|
||||
Fri, 16 Sep 2022 16:27:28: Epoch [2/25], Step [200/1289], Loss: 0.1422
|
||||
Fri, 16 Sep 2022 16:27:29: Epoch [2/25], Step [250/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 16:27:29: Epoch [2/25], Step [300/1289], Loss: 0.0951
|
||||
Fri, 16 Sep 2022 16:27:29: Epoch [2/25], Step [350/1289], Loss: 0.1367
|
||||
Fri, 16 Sep 2022 16:27:29: Epoch [2/25], Step [400/1289], Loss: 0.1528
|
||||
Fri, 16 Sep 2022 16:27:29: Epoch [2/25], Step [450/1289], Loss: 0.1204
|
||||
Fri, 16 Sep 2022 16:27:30: Epoch [2/25], Step [500/1289], Loss: 0.1701
|
||||
Fri, 16 Sep 2022 16:27:30: Epoch [2/25], Step [550/1289], Loss: 0.1734
|
||||
Fri, 16 Sep 2022 16:27:30: Epoch [2/25], Step [600/1289], Loss: 0.1818
|
||||
Fri, 16 Sep 2022 16:27:30: Epoch [2/25], Step [650/1289], Loss: 0.1151
|
||||
Fri, 16 Sep 2022 16:27:31: Epoch [2/25], Step [700/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 16:27:31: Epoch [2/25], Step [750/1289], Loss: 0.2397
|
||||
Fri, 16 Sep 2022 16:27:31: Epoch [2/25], Step [800/1289], Loss: 0.1622
|
||||
Fri, 16 Sep 2022 16:27:31: Epoch [2/25], Step [850/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:27:32: Epoch [2/25], Step [900/1289], Loss: 0.1470
|
||||
Fri, 16 Sep 2022 16:27:32: Epoch [2/25], Step [950/1289], Loss: 0.1721
|
||||
Fri, 16 Sep 2022 16:27:32: Epoch [2/25], Step [1000/1289], Loss: 0.1944
|
||||
Fri, 16 Sep 2022 16:27:32: Epoch [2/25], Step [1050/1289], Loss: 0.1004
|
||||
Fri, 16 Sep 2022 16:27:33: Epoch [2/25], Step [1100/1289], Loss: 0.1718
|
||||
Fri, 16 Sep 2022 16:27:33: Epoch [2/25], Step [1150/1289], Loss: 0.1218
|
||||
Fri, 16 Sep 2022 16:27:33: Epoch [2/25], Step [1200/1289], Loss: 0.1286
|
||||
Fri, 16 Sep 2022 16:27:33: Epoch [2/25], Step [1250/1289], Loss: 0.1278
|
||||
Fri, 16 Sep 2022 16:27:34: Epoch [3/25], Step [50/1289], Loss: 0.1258
|
||||
Fri, 16 Sep 2022 16:27:34: Epoch [3/25], Step [100/1289], Loss: 0.1143
|
||||
Fri, 16 Sep 2022 16:27:34: Epoch [3/25], Step [150/1289], Loss: 0.1246
|
||||
Fri, 16 Sep 2022 16:27:34: Epoch [3/25], Step [200/1289], Loss: 0.2136
|
||||
Fri, 16 Sep 2022 16:27:35: Epoch [3/25], Step [250/1289], Loss: 0.1143
|
||||
Fri, 16 Sep 2022 16:27:35: Epoch [3/25], Step [300/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 16:27:35: Epoch [3/25], Step [350/1289], Loss: 0.1553
|
||||
Fri, 16 Sep 2022 16:27:35: Epoch [3/25], Step [400/1289], Loss: 0.1014
|
||||
Fri, 16 Sep 2022 16:27:35: Epoch [3/25], Step [450/1289], Loss: 0.0593
|
||||
Fri, 16 Sep 2022 16:27:36: Epoch [3/25], Step [500/1289], Loss: 0.0936
|
||||
Fri, 16 Sep 2022 16:27:36: Epoch [3/25], Step [550/1289], Loss: 0.1454
|
||||
Fri, 16 Sep 2022 16:27:36: Epoch [3/25], Step [600/1289], Loss: 0.2034
|
||||
Fri, 16 Sep 2022 16:27:36: Epoch [3/25], Step [650/1289], Loss: 0.1846
|
||||
Fri, 16 Sep 2022 16:27:37: Epoch [3/25], Step [700/1289], Loss: 0.1844
|
||||
Fri, 16 Sep 2022 16:27:37: Epoch [3/25], Step [750/1289], Loss: 0.1247
|
||||
Fri, 16 Sep 2022 16:27:37: Epoch [3/25], Step [800/1289], Loss: 0.2037
|
||||
Fri, 16 Sep 2022 16:27:37: Epoch [3/25], Step [850/1289], Loss: 0.0638
|
||||
Fri, 16 Sep 2022 16:27:38: Epoch [3/25], Step [900/1289], Loss: 0.0586
|
||||
Fri, 16 Sep 2022 16:27:38: Epoch [3/25], Step [950/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:27:38: Epoch [3/25], Step [1000/1289], Loss: 0.0818
|
||||
Fri, 16 Sep 2022 16:27:38: Epoch [3/25], Step [1050/1289], Loss: 0.1786
|
||||
Fri, 16 Sep 2022 16:27:38: Epoch [3/25], Step [1100/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 16:27:39: Epoch [3/25], Step [1150/1289], Loss: 0.1097
|
||||
Fri, 16 Sep 2022 16:27:39: Epoch [3/25], Step [1200/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 16:27:39: Epoch [3/25], Step [1250/1289], Loss: 0.1438
|
||||
Fri, 16 Sep 2022 16:27:40: Epoch [4/25], Step [50/1289], Loss: 0.0529
|
||||
Fri, 16 Sep 2022 16:27:40: Epoch [4/25], Step [100/1289], Loss: 0.0968
|
||||
Fri, 16 Sep 2022 16:27:40: Epoch [4/25], Step [150/1289], Loss: 0.1240
|
||||
Fri, 16 Sep 2022 16:27:40: Epoch [4/25], Step [200/1289], Loss: 0.1106
|
||||
Fri, 16 Sep 2022 16:27:41: Epoch [4/25], Step [250/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:27:41: Epoch [4/25], Step [300/1289], Loss: 0.2315
|
||||
Fri, 16 Sep 2022 16:27:41: Epoch [4/25], Step [350/1289], Loss: 0.1443
|
||||
Fri, 16 Sep 2022 16:27:41: Epoch [4/25], Step [400/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 16:27:41: Epoch [4/25], Step [450/1289], Loss: 0.1230
|
||||
Fri, 16 Sep 2022 16:27:42: Epoch [4/25], Step [500/1289], Loss: 0.1538
|
||||
Fri, 16 Sep 2022 16:27:42: Epoch [4/25], Step [550/1289], Loss: 0.1804
|
||||
Fri, 16 Sep 2022 16:27:42: Epoch [4/25], Step [600/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:27:42: Epoch [4/25], Step [650/1289], Loss: 0.1039
|
||||
Fri, 16 Sep 2022 16:27:43: Epoch [4/25], Step [700/1289], Loss: 0.1008
|
||||
Fri, 16 Sep 2022 16:27:43: Epoch [4/25], Step [750/1289], Loss: 0.0850
|
||||
Fri, 16 Sep 2022 16:27:43: Epoch [4/25], Step [800/1289], Loss: 0.0987
|
||||
Fri, 16 Sep 2022 16:27:43: Epoch [4/25], Step [850/1289], Loss: 0.1023
|
||||
Fri, 16 Sep 2022 16:27:44: Epoch [4/25], Step [900/1289], Loss: 0.0988
|
||||
Fri, 16 Sep 2022 16:27:44: Epoch [4/25], Step [950/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 16:27:44: Epoch [4/25], Step [1000/1289], Loss: 0.1335
|
||||
Fri, 16 Sep 2022 16:27:44: Epoch [4/25], Step [1050/1289], Loss: 0.1022
|
||||
Fri, 16 Sep 2022 16:27:44: Epoch [4/25], Step [1100/1289], Loss: 0.1490
|
||||
Fri, 16 Sep 2022 16:27:45: Epoch [4/25], Step [1150/1289], Loss: 0.1904
|
||||
Fri, 16 Sep 2022 16:27:45: Epoch [4/25], Step [1200/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:27:45: Epoch [4/25], Step [1250/1289], Loss: 0.1288
|
||||
Fri, 16 Sep 2022 16:27:46: Epoch [5/25], Step [50/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:27:46: Epoch [5/25], Step [100/1289], Loss: 0.1425
|
||||
Fri, 16 Sep 2022 16:27:46: Epoch [5/25], Step [150/1289], Loss: 0.1059
|
||||
Fri, 16 Sep 2022 16:27:46: Epoch [5/25], Step [200/1289], Loss: 0.0602
|
||||
Fri, 16 Sep 2022 16:27:47: Epoch [5/25], Step [250/1289], Loss: 0.0876
|
||||
Fri, 16 Sep 2022 16:27:47: Epoch [5/25], Step [300/1289], Loss: 0.1182
|
||||
Fri, 16 Sep 2022 16:27:47: Epoch [5/25], Step [350/1289], Loss: 0.0683
|
||||
Fri, 16 Sep 2022 16:27:47: Epoch [5/25], Step [400/1289], Loss: 0.0951
|
||||
Fri, 16 Sep 2022 16:27:47: Epoch [5/25], Step [450/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 16:27:48: Epoch [5/25], Step [500/1289], Loss: 0.1842
|
||||
Fri, 16 Sep 2022 16:27:48: Epoch [5/25], Step [550/1289], Loss: 0.1879
|
||||
Fri, 16 Sep 2022 16:27:48: Epoch [5/25], Step [600/1289], Loss: 0.0831
|
||||
Fri, 16 Sep 2022 16:27:48: Epoch [5/25], Step [650/1289], Loss: 0.1283
|
||||
Fri, 16 Sep 2022 16:27:49: Epoch [5/25], Step [700/1289], Loss: 0.0745
|
||||
Fri, 16 Sep 2022 16:27:49: Epoch [5/25], Step [750/1289], Loss: 0.0519
|
||||
Fri, 16 Sep 2022 16:27:49: Epoch [5/25], Step [800/1289], Loss: 0.0499
|
||||
Fri, 16 Sep 2022 16:27:49: Epoch [5/25], Step [850/1289], Loss: 0.0780
|
||||
Fri, 16 Sep 2022 16:27:50: Epoch [5/25], Step [900/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 16:27:50: Epoch [5/25], Step [950/1289], Loss: 0.1378
|
||||
Fri, 16 Sep 2022 16:27:50: Epoch [5/25], Step [1000/1289], Loss: 0.0995
|
||||
Fri, 16 Sep 2022 16:27:50: Epoch [5/25], Step [1050/1289], Loss: 0.1048
|
||||
Fri, 16 Sep 2022 16:27:50: Epoch [5/25], Step [1100/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:27:51: Epoch [5/25], Step [1150/1289], Loss: 0.0962
|
||||
Fri, 16 Sep 2022 16:27:51: Epoch [5/25], Step [1200/1289], Loss: 0.0743
|
||||
Fri, 16 Sep 2022 16:27:51: Epoch [5/25], Step [1250/1289], Loss: 0.0672
|
||||
Fri, 16 Sep 2022 16:27:52: Epoch [6/25], Step [50/1289], Loss: 0.0705
|
||||
Fri, 16 Sep 2022 16:27:52: Epoch [6/25], Step [100/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 16:27:52: Epoch [6/25], Step [150/1289], Loss: 0.0950
|
||||
Fri, 16 Sep 2022 16:27:52: Epoch [6/25], Step [200/1289], Loss: 0.0908
|
||||
Fri, 16 Sep 2022 16:27:53: Epoch [6/25], Step [250/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:27:53: Epoch [6/25], Step [300/1289], Loss: 0.0715
|
||||
Fri, 16 Sep 2022 16:27:53: Epoch [6/25], Step [350/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 16:27:53: Epoch [6/25], Step [400/1289], Loss: 0.1036
|
||||
Fri, 16 Sep 2022 16:27:53: Epoch [6/25], Step [450/1289], Loss: 0.0397
|
||||
Fri, 16 Sep 2022 16:27:54: Epoch [6/25], Step [500/1289], Loss: 0.1191
|
||||
Fri, 16 Sep 2022 16:27:54: Epoch [6/25], Step [550/1289], Loss: 0.1187
|
||||
Fri, 16 Sep 2022 16:27:54: Epoch [6/25], Step [600/1289], Loss: 0.0966
|
||||
Fri, 16 Sep 2022 16:27:54: Epoch [6/25], Step [650/1289], Loss: 0.1283
|
||||
Fri, 16 Sep 2022 16:27:55: Epoch [6/25], Step [700/1289], Loss: 0.1010
|
||||
Fri, 16 Sep 2022 16:27:55: Epoch [6/25], Step [750/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:27:55: Epoch [6/25], Step [800/1289], Loss: 0.1174
|
||||
Fri, 16 Sep 2022 16:27:55: Epoch [6/25], Step [850/1289], Loss: 0.1083
|
||||
Fri, 16 Sep 2022 16:27:56: Epoch [6/25], Step [900/1289], Loss: 0.0530
|
||||
Fri, 16 Sep 2022 16:27:56: Epoch [6/25], Step [950/1289], Loss: 0.1240
|
||||
Fri, 16 Sep 2022 16:27:56: Epoch [6/25], Step [1000/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:27:56: Epoch [6/25], Step [1050/1289], Loss: 0.0658
|
||||
Fri, 16 Sep 2022 16:27:56: Epoch [6/25], Step [1100/1289], Loss: 0.0757
|
||||
Fri, 16 Sep 2022 16:27:57: Epoch [6/25], Step [1150/1289], Loss: 0.0658
|
||||
Fri, 16 Sep 2022 16:27:57: Epoch [6/25], Step [1200/1289], Loss: 0.0567
|
||||
Fri, 16 Sep 2022 16:27:57: Epoch [6/25], Step [1250/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:27:58: Epoch [7/25], Step [50/1289], Loss: 0.0888
|
||||
Fri, 16 Sep 2022 16:27:58: Epoch [7/25], Step [100/1289], Loss: 0.0781
|
||||
Fri, 16 Sep 2022 16:27:58: Epoch [7/25], Step [150/1289], Loss: 0.0533
|
||||
Fri, 16 Sep 2022 16:27:58: Epoch [7/25], Step [200/1289], Loss: 0.0467
|
||||
Fri, 16 Sep 2022 16:27:58: Epoch [7/25], Step [250/1289], Loss: 0.1065
|
||||
Fri, 16 Sep 2022 16:27:59: Epoch [7/25], Step [300/1289], Loss: 0.0284
|
||||
Fri, 16 Sep 2022 16:27:59: Epoch [7/25], Step [350/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 16:27:59: Epoch [7/25], Step [400/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:27:59: Epoch [7/25], Step [450/1289], Loss: 0.0084
|
||||
Fri, 16 Sep 2022 16:28:00: Epoch [7/25], Step [500/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:28:00: Epoch [7/25], Step [550/1289], Loss: 0.1128
|
||||
Fri, 16 Sep 2022 16:28:00: Epoch [7/25], Step [600/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 16:28:00: Epoch [7/25], Step [650/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 16:28:01: Epoch [7/25], Step [700/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:28:01: Epoch [7/25], Step [750/1289], Loss: 0.0946
|
||||
Fri, 16 Sep 2022 16:28:01: Epoch [7/25], Step [800/1289], Loss: 0.1363
|
||||
Fri, 16 Sep 2022 16:28:01: Epoch [7/25], Step [850/1289], Loss: 0.0718
|
||||
Fri, 16 Sep 2022 16:28:02: Epoch [7/25], Step [900/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:28:02: Epoch [7/25], Step [950/1289], Loss: 0.1130
|
||||
Fri, 16 Sep 2022 16:28:02: Epoch [7/25], Step [1000/1289], Loss: 0.0989
|
||||
Fri, 16 Sep 2022 16:28:02: Epoch [7/25], Step [1050/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 16:28:03: Epoch [7/25], Step [1100/1289], Loss: 0.0769
|
||||
Fri, 16 Sep 2022 16:28:03: Epoch [7/25], Step [1150/1289], Loss: 0.0897
|
||||
Fri, 16 Sep 2022 16:28:03: Epoch [7/25], Step [1200/1289], Loss: 0.0327
|
||||
Fri, 16 Sep 2022 16:28:03: Epoch [7/25], Step [1250/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 16:28:04: Epoch [8/25], Step [50/1289], Loss: 0.0750
|
||||
Fri, 16 Sep 2022 16:28:04: Epoch [8/25], Step [100/1289], Loss: 0.1001
|
||||
Fri, 16 Sep 2022 16:28:04: Epoch [8/25], Step [150/1289], Loss: 0.0206
|
||||
Fri, 16 Sep 2022 16:28:04: Epoch [8/25], Step [200/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:28:05: Epoch [8/25], Step [250/1289], Loss: 0.1747
|
||||
Fri, 16 Sep 2022 16:28:05: Epoch [8/25], Step [300/1289], Loss: 0.1021
|
||||
Fri, 16 Sep 2022 16:28:05: Epoch [8/25], Step [350/1289], Loss: 0.0736
|
||||
Fri, 16 Sep 2022 16:28:05: Epoch [8/25], Step [400/1289], Loss: 0.0845
|
||||
Fri, 16 Sep 2022 16:28:06: Epoch [8/25], Step [450/1289], Loss: 0.0852
|
||||
Fri, 16 Sep 2022 16:28:06: Epoch [8/25], Step [500/1289], Loss: 0.0479
|
||||
Fri, 16 Sep 2022 16:28:06: Epoch [8/25], Step [550/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:28:06: Epoch [8/25], Step [600/1289], Loss: 0.1680
|
||||
Fri, 16 Sep 2022 16:28:07: Epoch [8/25], Step [650/1289], Loss: 0.0636
|
||||
Fri, 16 Sep 2022 16:28:07: Epoch [8/25], Step [700/1289], Loss: 0.0573
|
||||
Fri, 16 Sep 2022 16:28:07: Epoch [8/25], Step [750/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 16:28:07: Epoch [8/25], Step [800/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:28:07: Epoch [8/25], Step [850/1289], Loss: 0.1651
|
||||
Fri, 16 Sep 2022 16:28:08: Epoch [8/25], Step [900/1289], Loss: 0.0397
|
||||
Fri, 16 Sep 2022 16:28:08: Epoch [8/25], Step [950/1289], Loss: 0.0737
|
||||
Fri, 16 Sep 2022 16:28:08: Epoch [8/25], Step [1000/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:28:08: Epoch [8/25], Step [1050/1289], Loss: 0.0283
|
||||
Fri, 16 Sep 2022 16:28:09: Epoch [8/25], Step [1100/1289], Loss: 0.0790
|
||||
Fri, 16 Sep 2022 16:28:09: Epoch [8/25], Step [1150/1289], Loss: 0.1452
|
||||
Fri, 16 Sep 2022 16:28:09: Epoch [8/25], Step [1200/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:28:09: Epoch [8/25], Step [1250/1289], Loss: 0.0617
|
||||
Fri, 16 Sep 2022 16:28:10: Epoch [9/25], Step [50/1289], Loss: 0.0654
|
||||
Fri, 16 Sep 2022 16:28:10: Epoch [9/25], Step [100/1289], Loss: 0.0518
|
||||
Fri, 16 Sep 2022 16:28:10: Epoch [9/25], Step [150/1289], Loss: 0.1011
|
||||
Fri, 16 Sep 2022 16:28:11: Epoch [9/25], Step [200/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:28:11: Epoch [9/25], Step [250/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 16:28:11: Epoch [9/25], Step [300/1289], Loss: 0.1401
|
||||
Fri, 16 Sep 2022 16:28:11: Epoch [9/25], Step [350/1289], Loss: 0.0228
|
||||
Fri, 16 Sep 2022 16:28:11: Epoch [9/25], Step [400/1289], Loss: 0.1913
|
||||
Fri, 16 Sep 2022 16:28:12: Epoch [9/25], Step [450/1289], Loss: 0.0580
|
||||
Fri, 16 Sep 2022 16:28:12: Epoch [9/25], Step [500/1289], Loss: 0.0475
|
||||
Fri, 16 Sep 2022 16:28:12: Epoch [9/25], Step [550/1289], Loss: 0.0421
|
||||
Fri, 16 Sep 2022 16:28:12: Epoch [9/25], Step [600/1289], Loss: 0.0156
|
||||
Fri, 16 Sep 2022 16:28:13: Epoch [9/25], Step [650/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:28:13: Epoch [9/25], Step [700/1289], Loss: 0.0329
|
||||
Fri, 16 Sep 2022 16:28:13: Epoch [9/25], Step [750/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:28:13: Epoch [9/25], Step [800/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 16:28:14: Epoch [9/25], Step [850/1289], Loss: 0.0858
|
||||
Fri, 16 Sep 2022 16:28:14: Epoch [9/25], Step [900/1289], Loss: 0.0617
|
||||
Fri, 16 Sep 2022 16:28:14: Epoch [9/25], Step [950/1289], Loss: 0.0480
|
||||
Fri, 16 Sep 2022 16:28:14: Epoch [9/25], Step [1000/1289], Loss: 0.0572
|
||||
Fri, 16 Sep 2022 16:28:15: Epoch [9/25], Step [1050/1289], Loss: 0.0316
|
||||
Fri, 16 Sep 2022 16:28:15: Epoch [9/25], Step [1100/1289], Loss: 0.0709
|
||||
Fri, 16 Sep 2022 16:28:15: Epoch [9/25], Step [1150/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:28:15: Epoch [9/25], Step [1200/1289], Loss: 0.0939
|
||||
Fri, 16 Sep 2022 16:28:15: Epoch [9/25], Step [1250/1289], Loss: 0.0914
|
||||
Fri, 16 Sep 2022 16:28:16: Epoch [10/25], Step [50/1289], Loss: 0.1131
|
||||
Fri, 16 Sep 2022 16:28:16: Epoch [10/25], Step [100/1289], Loss: 0.0825
|
||||
Fri, 16 Sep 2022 16:28:16: Epoch [10/25], Step [150/1289], Loss: 0.0863
|
||||
Fri, 16 Sep 2022 16:28:17: Epoch [10/25], Step [200/1289], Loss: 0.1025
|
||||
Fri, 16 Sep 2022 16:28:17: Epoch [10/25], Step [250/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:28:17: Epoch [10/25], Step [300/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:28:17: Epoch [10/25], Step [350/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:28:18: Epoch [10/25], Step [400/1289], Loss: 0.0702
|
||||
Fri, 16 Sep 2022 16:28:18: Epoch [10/25], Step [450/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 16:28:18: Epoch [10/25], Step [500/1289], Loss: 0.0469
|
||||
Fri, 16 Sep 2022 16:28:18: Epoch [10/25], Step [550/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:28:18: Epoch [10/25], Step [600/1289], Loss: 0.0536
|
||||
Fri, 16 Sep 2022 16:28:19: Epoch [10/25], Step [650/1289], Loss: 0.0558
|
||||
Fri, 16 Sep 2022 16:28:19: Epoch [10/25], Step [700/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 16:28:19: Epoch [10/25], Step [750/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 16:28:19: Epoch [10/25], Step [800/1289], Loss: 0.0992
|
||||
Fri, 16 Sep 2022 16:28:20: Epoch [10/25], Step [850/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:28:20: Epoch [10/25], Step [900/1289], Loss: 0.0535
|
||||
Fri, 16 Sep 2022 16:28:20: Epoch [10/25], Step [950/1289], Loss: 0.0878
|
||||
Fri, 16 Sep 2022 16:28:20: Epoch [10/25], Step [1000/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 16:28:20: Epoch [10/25], Step [1050/1289], Loss: 0.0673
|
||||
Fri, 16 Sep 2022 16:28:21: Epoch [10/25], Step [1100/1289], Loss: 0.0526
|
||||
Fri, 16 Sep 2022 16:28:21: Epoch [10/25], Step [1150/1289], Loss: 0.1486
|
||||
Fri, 16 Sep 2022 16:28:21: Epoch [10/25], Step [1200/1289], Loss: 0.0812
|
||||
Fri, 16 Sep 2022 16:28:21: Epoch [10/25], Step [1250/1289], Loss: 0.0772
|
||||
Fri, 16 Sep 2022 16:28:22: Epoch [11/25], Step [50/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:28:22: Epoch [11/25], Step [100/1289], Loss: 0.0759
|
||||
Fri, 16 Sep 2022 16:28:22: Epoch [11/25], Step [150/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:28:23: Epoch [11/25], Step [200/1289], Loss: 0.1422
|
||||
Fri, 16 Sep 2022 16:28:23: Epoch [11/25], Step [250/1289], Loss: 0.0752
|
||||
Fri, 16 Sep 2022 16:28:23: Epoch [11/25], Step [300/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 16:28:23: Epoch [11/25], Step [350/1289], Loss: 0.0304
|
||||
Fri, 16 Sep 2022 16:28:23: Epoch [11/25], Step [400/1289], Loss: 0.0244
|
||||
Fri, 16 Sep 2022 16:28:24: Epoch [11/25], Step [450/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 16:28:24: Epoch [11/25], Step [500/1289], Loss: 0.0842
|
||||
Fri, 16 Sep 2022 16:28:24: Epoch [11/25], Step [550/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 16:28:24: Epoch [11/25], Step [600/1289], Loss: 0.0558
|
||||
Fri, 16 Sep 2022 16:28:25: Epoch [11/25], Step [650/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:28:25: Epoch [11/25], Step [700/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 16:28:25: Epoch [11/25], Step [750/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:28:25: Epoch [11/25], Step [800/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 16:28:26: Epoch [11/25], Step [850/1289], Loss: 0.0306
|
||||
Fri, 16 Sep 2022 16:28:26: Epoch [11/25], Step [900/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 16:28:26: Epoch [11/25], Step [950/1289], Loss: 0.0173
|
||||
Fri, 16 Sep 2022 16:28:26: Epoch [11/25], Step [1000/1289], Loss: 0.1393
|
||||
Fri, 16 Sep 2022 16:28:27: Epoch [11/25], Step [1050/1289], Loss: 0.0660
|
||||
Fri, 16 Sep 2022 16:28:27: Epoch [11/25], Step [1100/1289], Loss: 0.1090
|
||||
Fri, 16 Sep 2022 16:28:27: Epoch [11/25], Step [1150/1289], Loss: 0.0483
|
||||
Fri, 16 Sep 2022 16:28:27: Epoch [11/25], Step [1200/1289], Loss: 0.0591
|
||||
Fri, 16 Sep 2022 16:28:27: Epoch [11/25], Step [1250/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 16:28:28: Epoch [12/25], Step [50/1289], Loss: 0.0474
|
||||
Fri, 16 Sep 2022 16:28:28: Epoch [12/25], Step [100/1289], Loss: 0.0157
|
||||
Fri, 16 Sep 2022 16:28:28: Epoch [12/25], Step [150/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:28:29: Epoch [12/25], Step [200/1289], Loss: 0.0136
|
||||
Fri, 16 Sep 2022 16:28:29: Epoch [12/25], Step [250/1289], Loss: 0.1052
|
||||
Fri, 16 Sep 2022 16:28:29: Epoch [12/25], Step [300/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:28:29: Epoch [12/25], Step [350/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:28:30: Epoch [12/25], Step [400/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 16:28:30: Epoch [12/25], Step [450/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:28:30: Epoch [12/25], Step [500/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:28:30: Epoch [12/25], Step [550/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 16:28:31: Epoch [12/25], Step [600/1289], Loss: 0.0151
|
||||
Fri, 16 Sep 2022 16:28:31: Epoch [12/25], Step [650/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:28:31: Epoch [12/25], Step [700/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:28:31: Epoch [12/25], Step [750/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:28:31: Epoch [12/25], Step [800/1289], Loss: 0.0451
|
||||
Fri, 16 Sep 2022 16:28:32: Epoch [12/25], Step [850/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 16:28:32: Epoch [12/25], Step [900/1289], Loss: 0.0212
|
||||
Fri, 16 Sep 2022 16:28:32: Epoch [12/25], Step [950/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:28:32: Epoch [12/25], Step [1000/1289], Loss: 0.0252
|
||||
Fri, 16 Sep 2022 16:28:33: Epoch [12/25], Step [1050/1289], Loss: 0.0595
|
||||
Fri, 16 Sep 2022 16:28:33: Epoch [12/25], Step [1100/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 16:28:33: Epoch [12/25], Step [1150/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 16:28:33: Epoch [12/25], Step [1200/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:28:34: Epoch [12/25], Step [1250/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 16:28:34: Epoch [13/25], Step [50/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:28:34: Epoch [13/25], Step [100/1289], Loss: 0.1476
|
||||
Fri, 16 Sep 2022 16:28:34: Epoch [13/25], Step [150/1289], Loss: 0.0201
|
||||
Fri, 16 Sep 2022 16:28:35: Epoch [13/25], Step [200/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:28:35: Epoch [13/25], Step [250/1289], Loss: 0.0283
|
||||
Fri, 16 Sep 2022 16:28:35: Epoch [13/25], Step [300/1289], Loss: 0.1057
|
||||
Fri, 16 Sep 2022 16:28:35: Epoch [13/25], Step [350/1289], Loss: 0.0962
|
||||
Fri, 16 Sep 2022 16:28:36: Epoch [13/25], Step [400/1289], Loss: 0.0320
|
||||
Fri, 16 Sep 2022 16:28:36: Epoch [13/25], Step [450/1289], Loss: 0.0709
|
||||
Fri, 16 Sep 2022 16:28:36: Epoch [13/25], Step [500/1289], Loss: 0.0188
|
||||
Fri, 16 Sep 2022 16:28:36: Epoch [13/25], Step [550/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 16:28:37: Epoch [13/25], Step [600/1289], Loss: 0.0732
|
||||
Fri, 16 Sep 2022 16:28:37: Epoch [13/25], Step [650/1289], Loss: 0.0702
|
||||
Fri, 16 Sep 2022 16:28:37: Epoch [13/25], Step [700/1289], Loss: 0.0913
|
||||
Fri, 16 Sep 2022 16:28:37: Epoch [13/25], Step [750/1289], Loss: 0.0204
|
||||
Fri, 16 Sep 2022 16:28:38: Epoch [13/25], Step [800/1289], Loss: 0.0204
|
||||
Fri, 16 Sep 2022 16:28:38: Epoch [13/25], Step [850/1289], Loss: 0.1096
|
||||
Fri, 16 Sep 2022 16:28:38: Epoch [13/25], Step [900/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 16:28:38: Epoch [13/25], Step [950/1289], Loss: 0.0512
|
||||
Fri, 16 Sep 2022 16:28:39: Epoch [13/25], Step [1000/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:28:39: Epoch [13/25], Step [1050/1289], Loss: 0.0268
|
||||
Fri, 16 Sep 2022 16:28:39: Epoch [13/25], Step [1100/1289], Loss: 0.0515
|
||||
Fri, 16 Sep 2022 16:28:39: Epoch [13/25], Step [1150/1289], Loss: 0.0544
|
||||
Fri, 16 Sep 2022 16:28:40: Epoch [13/25], Step [1200/1289], Loss: 0.0581
|
||||
Fri, 16 Sep 2022 16:28:40: Epoch [13/25], Step [1250/1289], Loss: 0.0483
|
||||
Fri, 16 Sep 2022 16:28:40: Epoch [14/25], Step [50/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 16:28:41: Epoch [14/25], Step [100/1289], Loss: 0.1089
|
||||
Fri, 16 Sep 2022 16:28:41: Epoch [14/25], Step [150/1289], Loss: 0.0151
|
||||
Fri, 16 Sep 2022 16:28:41: Epoch [14/25], Step [200/1289], Loss: 0.0164
|
||||
Fri, 16 Sep 2022 16:28:41: Epoch [14/25], Step [250/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:28:41: Epoch [14/25], Step [300/1289], Loss: 0.0061
|
||||
Fri, 16 Sep 2022 16:28:42: Epoch [14/25], Step [350/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 16:28:42: Epoch [14/25], Step [400/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:28:42: Epoch [14/25], Step [450/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:28:42: Epoch [14/25], Step [500/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 16:28:43: Epoch [14/25], Step [550/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 16:28:43: Epoch [14/25], Step [600/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:28:43: Epoch [14/25], Step [650/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:28:43: Epoch [14/25], Step [700/1289], Loss: 0.0276
|
||||
Fri, 16 Sep 2022 16:28:44: Epoch [14/25], Step [750/1289], Loss: 0.0208
|
||||
Fri, 16 Sep 2022 16:28:44: Epoch [14/25], Step [800/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:28:44: Epoch [14/25], Step [850/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:28:44: Epoch [14/25], Step [900/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:28:45: Epoch [14/25], Step [950/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:28:45: Epoch [14/25], Step [1000/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 16:28:45: Epoch [14/25], Step [1050/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:28:45: Epoch [14/25], Step [1100/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:28:46: Epoch [14/25], Step [1150/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 16:28:46: Epoch [14/25], Step [1200/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 16:28:46: Epoch [14/25], Step [1250/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:28:47: Epoch [15/25], Step [50/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:28:47: Epoch [15/25], Step [100/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 16:28:47: Epoch [15/25], Step [150/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:28:47: Epoch [15/25], Step [200/1289], Loss: 0.0472
|
||||
Fri, 16 Sep 2022 16:28:47: Epoch [15/25], Step [250/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:28:48: Epoch [15/25], Step [300/1289], Loss: 0.0156
|
||||
Fri, 16 Sep 2022 16:28:48: Epoch [15/25], Step [350/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:28:48: Epoch [15/25], Step [400/1289], Loss: 0.0551
|
||||
Fri, 16 Sep 2022 16:28:48: Epoch [15/25], Step [450/1289], Loss: 0.0673
|
||||
Fri, 16 Sep 2022 16:28:49: Epoch [15/25], Step [500/1289], Loss: 0.0745
|
||||
Fri, 16 Sep 2022 16:28:49: Epoch [15/25], Step [550/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 16:28:49: Epoch [15/25], Step [600/1289], Loss: 0.0119
|
||||
Fri, 16 Sep 2022 16:28:49: Epoch [15/25], Step [650/1289], Loss: 0.0040
|
||||
Fri, 16 Sep 2022 16:28:50: Epoch [15/25], Step [700/1289], Loss: 0.2080
|
||||
Fri, 16 Sep 2022 16:28:50: Epoch [15/25], Step [750/1289], Loss: 0.0970
|
||||
Fri, 16 Sep 2022 16:28:50: Epoch [15/25], Step [800/1289], Loss: 0.0245
|
||||
Fri, 16 Sep 2022 16:28:50: Epoch [15/25], Step [850/1289], Loss: 0.0573
|
||||
Fri, 16 Sep 2022 16:28:51: Epoch [15/25], Step [900/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 16:28:51: Epoch [15/25], Step [950/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:28:51: Epoch [15/25], Step [1000/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 16:28:51: Epoch [15/25], Step [1050/1289], Loss: 0.1360
|
||||
Fri, 16 Sep 2022 16:28:52: Epoch [15/25], Step [1100/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:28:52: Epoch [15/25], Step [1150/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:28:52: Epoch [15/25], Step [1200/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:28:52: Epoch [15/25], Step [1250/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 16:28:53: Epoch [16/25], Step [50/1289], Loss: 0.0393
|
||||
Fri, 16 Sep 2022 16:28:53: Epoch [16/25], Step [100/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 16:28:53: Epoch [16/25], Step [150/1289], Loss: 0.0105
|
||||
Fri, 16 Sep 2022 16:28:53: Epoch [16/25], Step [200/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 16:28:54: Epoch [16/25], Step [250/1289], Loss: 0.1100
|
||||
Fri, 16 Sep 2022 16:28:54: Epoch [16/25], Step [300/1289], Loss: 0.0127
|
||||
Fri, 16 Sep 2022 16:28:54: Epoch [16/25], Step [350/1289], Loss: 0.0450
|
||||
Fri, 16 Sep 2022 16:28:54: Epoch [16/25], Step [400/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 16:28:55: Epoch [16/25], Step [450/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:28:55: Epoch [16/25], Step [500/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:28:55: Epoch [16/25], Step [550/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:28:55: Epoch [16/25], Step [600/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 16:28:55: Epoch [16/25], Step [650/1289], Loss: 0.0696
|
||||
Fri, 16 Sep 2022 16:28:56: Epoch [16/25], Step [700/1289], Loss: 0.0622
|
||||
Fri, 16 Sep 2022 16:28:56: Epoch [16/25], Step [750/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:28:56: Epoch [16/25], Step [800/1289], Loss: 0.0770
|
||||
Fri, 16 Sep 2022 16:28:56: Epoch [16/25], Step [850/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:28:57: Epoch [16/25], Step [900/1289], Loss: 0.0095
|
||||
Fri, 16 Sep 2022 16:28:57: Epoch [16/25], Step [950/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:28:57: Epoch [16/25], Step [1000/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:28:57: Epoch [16/25], Step [1050/1289], Loss: 0.0719
|
||||
Fri, 16 Sep 2022 16:28:58: Epoch [16/25], Step [1100/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:28:58: Epoch [16/25], Step [1150/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:28:58: Epoch [16/25], Step [1200/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:28:58: Epoch [16/25], Step [1250/1289], Loss: 0.0094
|
||||
Fri, 16 Sep 2022 16:28:59: Epoch [17/25], Step [50/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 16:28:59: Epoch [17/25], Step [100/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:28:59: Epoch [17/25], Step [150/1289], Loss: 0.0306
|
||||
Fri, 16 Sep 2022 16:28:59: Epoch [17/25], Step [200/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:29:00: Epoch [17/25], Step [250/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:29:00: Epoch [17/25], Step [300/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:29:00: Epoch [17/25], Step [350/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:29:00: Epoch [17/25], Step [400/1289], Loss: 0.0613
|
||||
Fri, 16 Sep 2022 16:29:01: Epoch [17/25], Step [450/1289], Loss: 0.0218
|
||||
Fri, 16 Sep 2022 16:29:01: Epoch [17/25], Step [500/1289], Loss: 0.0068
|
||||
Fri, 16 Sep 2022 16:29:01: Epoch [17/25], Step [550/1289], Loss: 0.1165
|
||||
Fri, 16 Sep 2022 16:29:01: Epoch [17/25], Step [600/1289], Loss: 0.0065
|
||||
Fri, 16 Sep 2022 16:29:02: Epoch [17/25], Step [650/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 16:29:02: Epoch [17/25], Step [700/1289], Loss: 0.0633
|
||||
Fri, 16 Sep 2022 16:29:02: Epoch [17/25], Step [750/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:29:02: Epoch [17/25], Step [800/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:29:03: Epoch [17/25], Step [850/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 16:29:03: Epoch [17/25], Step [900/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 16:29:03: Epoch [17/25], Step [950/1289], Loss: 0.0037
|
||||
Fri, 16 Sep 2022 16:29:03: Epoch [17/25], Step [1000/1289], Loss: 0.0671
|
||||
Fri, 16 Sep 2022 16:29:04: Epoch [17/25], Step [1050/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 16:29:04: Epoch [17/25], Step [1100/1289], Loss: 0.0112
|
||||
Fri, 16 Sep 2022 16:29:04: Epoch [17/25], Step [1150/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:29:04: Epoch [17/25], Step [1200/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 16:29:05: Epoch [17/25], Step [1250/1289], Loss: 0.0400
|
||||
Fri, 16 Sep 2022 16:29:05: Epoch [18/25], Step [50/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:29:06: Epoch [18/25], Step [100/1289], Loss: 0.0482
|
||||
Fri, 16 Sep 2022 16:29:06: Epoch [18/25], Step [150/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:29:06: Epoch [18/25], Step [200/1289], Loss: 0.0145
|
||||
Fri, 16 Sep 2022 16:29:07: Epoch [18/25], Step [250/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 16:29:07: Epoch [18/25], Step [300/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:29:07: Epoch [18/25], Step [350/1289], Loss: 0.0180
|
||||
Fri, 16 Sep 2022 16:29:08: Epoch [18/25], Step [400/1289], Loss: 0.0231
|
||||
Fri, 16 Sep 2022 16:29:08: Epoch [18/25], Step [450/1289], Loss: 0.0860
|
||||
Fri, 16 Sep 2022 16:29:08: Epoch [18/25], Step [500/1289], Loss: 0.0657
|
||||
Fri, 16 Sep 2022 16:29:08: Epoch [18/25], Step [550/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:29:09: Epoch [18/25], Step [600/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:29:09: Epoch [18/25], Step [650/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 16:29:09: Epoch [18/25], Step [700/1289], Loss: 0.0288
|
||||
Fri, 16 Sep 2022 16:29:10: Epoch [18/25], Step [750/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:29:10: Epoch [18/25], Step [800/1289], Loss: 0.0292
|
||||
Fri, 16 Sep 2022 16:29:10: Epoch [18/25], Step [850/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 16:29:10: Epoch [18/25], Step [900/1289], Loss: 0.0442
|
||||
Fri, 16 Sep 2022 16:29:11: Epoch [18/25], Step [950/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 16:29:11: Epoch [18/25], Step [1000/1289], Loss: 0.0164
|
||||
Fri, 16 Sep 2022 16:29:11: Epoch [18/25], Step [1050/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:29:11: Epoch [18/25], Step [1100/1289], Loss: 0.0731
|
||||
Fri, 16 Sep 2022 16:29:12: Epoch [18/25], Step [1150/1289], Loss: 0.0600
|
||||
Fri, 16 Sep 2022 16:29:12: Epoch [18/25], Step [1200/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 16:29:12: Epoch [18/25], Step [1250/1289], Loss: 0.0377
|
||||
Fri, 16 Sep 2022 16:29:12: Epoch [19/25], Step [50/1289], Loss: 0.0541
|
||||
Fri, 16 Sep 2022 16:29:13: Epoch [19/25], Step [100/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 16:29:13: Epoch [19/25], Step [150/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 16:29:13: Epoch [19/25], Step [200/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 16:29:13: Epoch [19/25], Step [250/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:29:14: Epoch [19/25], Step [300/1289], Loss: 0.0142
|
||||
Fri, 16 Sep 2022 16:29:14: Epoch [19/25], Step [350/1289], Loss: 0.0233
|
||||
Fri, 16 Sep 2022 16:29:14: Epoch [19/25], Step [400/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:29:14: Epoch [19/25], Step [450/1289], Loss: 0.0476
|
||||
Fri, 16 Sep 2022 16:29:15: Epoch [19/25], Step [500/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:29:15: Epoch [19/25], Step [550/1289], Loss: 0.0050
|
||||
Fri, 16 Sep 2022 16:29:15: Epoch [19/25], Step [600/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:29:15: Epoch [19/25], Step [650/1289], Loss: 0.0901
|
||||
Fri, 16 Sep 2022 16:29:16: Epoch [19/25], Step [700/1289], Loss: 0.0028
|
||||
Fri, 16 Sep 2022 16:29:16: Epoch [19/25], Step [750/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:29:16: Epoch [19/25], Step [800/1289], Loss: 0.0252
|
||||
Fri, 16 Sep 2022 16:29:16: Epoch [19/25], Step [850/1289], Loss: 0.0911
|
||||
Fri, 16 Sep 2022 16:29:16: Epoch [19/25], Step [900/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:29:17: Epoch [19/25], Step [950/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 16:29:17: Epoch [19/25], Step [1000/1289], Loss: 0.0275
|
||||
Fri, 16 Sep 2022 16:29:17: Epoch [19/25], Step [1050/1289], Loss: 0.0088
|
||||
Fri, 16 Sep 2022 16:29:18: Epoch [19/25], Step [1100/1289], Loss: 0.0303
|
||||
Fri, 16 Sep 2022 16:29:18: Epoch [19/25], Step [1150/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 16:29:18: Epoch [19/25], Step [1200/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:29:18: Epoch [19/25], Step [1250/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:29:19: Epoch [20/25], Step [50/1289], Loss: 0.0127
|
||||
Fri, 16 Sep 2022 16:29:19: Epoch [20/25], Step [100/1289], Loss: 0.0938
|
||||
Fri, 16 Sep 2022 16:29:19: Epoch [20/25], Step [150/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:29:19: Epoch [20/25], Step [200/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:29:20: Epoch [20/25], Step [250/1289], Loss: 0.0095
|
||||
Fri, 16 Sep 2022 16:29:20: Epoch [20/25], Step [300/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 16:29:20: Epoch [20/25], Step [350/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:29:21: Epoch [20/25], Step [400/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 16:29:21: Epoch [20/25], Step [450/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:29:21: Epoch [20/25], Step [500/1289], Loss: 0.0459
|
||||
Fri, 16 Sep 2022 16:29:21: Epoch [20/25], Step [550/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:29:22: Epoch [20/25], Step [600/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 16:29:22: Epoch [20/25], Step [650/1289], Loss: 0.0075
|
||||
Fri, 16 Sep 2022 16:29:22: Epoch [20/25], Step [700/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:29:22: Epoch [20/25], Step [750/1289], Loss: 0.0446
|
||||
Fri, 16 Sep 2022 16:29:23: Epoch [20/25], Step [800/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:29:23: Epoch [20/25], Step [850/1289], Loss: 0.0732
|
||||
Fri, 16 Sep 2022 16:29:23: Epoch [20/25], Step [900/1289], Loss: 0.0487
|
||||
Fri, 16 Sep 2022 16:29:23: Epoch [20/25], Step [950/1289], Loss: 0.0218
|
||||
Fri, 16 Sep 2022 16:29:24: Epoch [20/25], Step [1000/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:29:24: Epoch [20/25], Step [1050/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:29:24: Epoch [20/25], Step [1100/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:29:24: Epoch [20/25], Step [1150/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 16:29:25: Epoch [20/25], Step [1200/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:29:25: Epoch [20/25], Step [1250/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:29:25: Epoch [21/25], Step [50/1289], Loss: 0.0864
|
||||
Fri, 16 Sep 2022 16:29:26: Epoch [21/25], Step [100/1289], Loss: 0.0344
|
||||
Fri, 16 Sep 2022 16:29:26: Epoch [21/25], Step [150/1289], Loss: 0.0594
|
||||
Fri, 16 Sep 2022 16:29:26: Epoch [21/25], Step [200/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:29:26: Epoch [21/25], Step [250/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:29:27: Epoch [21/25], Step [300/1289], Loss: 0.0861
|
||||
Fri, 16 Sep 2022 16:29:27: Epoch [21/25], Step [350/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:29:27: Epoch [21/25], Step [400/1289], Loss: 0.0105
|
||||
Fri, 16 Sep 2022 16:29:27: Epoch [21/25], Step [450/1289], Loss: 0.0488
|
||||
Fri, 16 Sep 2022 16:29:28: Epoch [21/25], Step [500/1289], Loss: 0.0065
|
||||
Fri, 16 Sep 2022 16:29:28: Epoch [21/25], Step [550/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:29:28: Epoch [21/25], Step [600/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:29:28: Epoch [21/25], Step [650/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:29:29: Epoch [21/25], Step [700/1289], Loss: 0.0676
|
||||
Fri, 16 Sep 2022 16:29:29: Epoch [21/25], Step [750/1289], Loss: 0.0117
|
||||
Fri, 16 Sep 2022 16:29:29: Epoch [21/25], Step [800/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 16:29:29: Epoch [21/25], Step [850/1289], Loss: 0.0208
|
||||
Fri, 16 Sep 2022 16:29:30: Epoch [21/25], Step [900/1289], Loss: 0.0252
|
||||
Fri, 16 Sep 2022 16:29:30: Epoch [21/25], Step [950/1289], Loss: 0.0036
|
||||
Fri, 16 Sep 2022 16:29:30: Epoch [21/25], Step [1000/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:29:30: Epoch [21/25], Step [1050/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 16:29:31: Epoch [21/25], Step [1100/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:29:31: Epoch [21/25], Step [1150/1289], Loss: 0.0530
|
||||
Fri, 16 Sep 2022 16:29:31: Epoch [21/25], Step [1200/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:29:31: Epoch [21/25], Step [1250/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:29:32: Epoch [22/25], Step [50/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:29:32: Epoch [22/25], Step [100/1289], Loss: 0.0087
|
||||
Fri, 16 Sep 2022 16:29:32: Epoch [22/25], Step [150/1289], Loss: 0.0061
|
||||
Fri, 16 Sep 2022 16:29:32: Epoch [22/25], Step [200/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:29:33: Epoch [22/25], Step [250/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 16:29:33: Epoch [22/25], Step [300/1289], Loss: 0.0073
|
||||
Fri, 16 Sep 2022 16:29:33: Epoch [22/25], Step [350/1289], Loss: 0.0384
|
||||
Fri, 16 Sep 2022 16:29:33: Epoch [22/25], Step [400/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 16:29:34: Epoch [22/25], Step [450/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:29:34: Epoch [22/25], Step [500/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:29:34: Epoch [22/25], Step [550/1289], Loss: 0.0204
|
||||
Fri, 16 Sep 2022 16:29:34: Epoch [22/25], Step [600/1289], Loss: 0.0420
|
||||
Fri, 16 Sep 2022 16:29:34: Epoch [22/25], Step [650/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 16:29:35: Epoch [22/25], Step [700/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:29:35: Epoch [22/25], Step [750/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:29:35: Epoch [22/25], Step [800/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 16:29:35: Epoch [22/25], Step [850/1289], Loss: 0.0117
|
||||
Fri, 16 Sep 2022 16:29:36: Epoch [22/25], Step [900/1289], Loss: 0.0141
|
||||
Fri, 16 Sep 2022 16:29:36: Epoch [22/25], Step [950/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:29:36: Epoch [22/25], Step [1000/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:29:36: Epoch [22/25], Step [1050/1289], Loss: 0.0195
|
||||
Fri, 16 Sep 2022 16:29:37: Epoch [22/25], Step [1100/1289], Loss: 0.0559
|
||||
Fri, 16 Sep 2022 16:29:37: Epoch [22/25], Step [1150/1289], Loss: 0.0127
|
||||
Fri, 16 Sep 2022 16:29:37: Epoch [22/25], Step [1200/1289], Loss: 0.0440
|
||||
Fri, 16 Sep 2022 16:29:37: Epoch [22/25], Step [1250/1289], Loss: 0.0070
|
||||
Fri, 16 Sep 2022 16:29:38: Epoch [23/25], Step [50/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 16:29:38: Epoch [23/25], Step [100/1289], Loss: 0.0088
|
||||
Fri, 16 Sep 2022 16:29:38: Epoch [23/25], Step [150/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 16:29:39: Epoch [23/25], Step [200/1289], Loss: 0.0759
|
||||
Fri, 16 Sep 2022 16:29:39: Epoch [23/25], Step [250/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:29:39: Epoch [23/25], Step [300/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 16:29:39: Epoch [23/25], Step [350/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:29:40: Epoch [23/25], Step [400/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:29:40: Epoch [23/25], Step [450/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:29:40: Epoch [23/25], Step [500/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:29:40: Epoch [23/25], Step [550/1289], Loss: 0.0376
|
||||
Fri, 16 Sep 2022 16:29:41: Epoch [23/25], Step [600/1289], Loss: 0.0044
|
||||
Fri, 16 Sep 2022 16:29:41: Epoch [23/25], Step [650/1289], Loss: 0.0133
|
||||
Fri, 16 Sep 2022 16:29:41: Epoch [23/25], Step [700/1289], Loss: 0.0177
|
||||
Fri, 16 Sep 2022 16:29:41: Epoch [23/25], Step [750/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:29:41: Epoch [23/25], Step [800/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 16:29:42: Epoch [23/25], Step [850/1289], Loss: 0.0044
|
||||
Fri, 16 Sep 2022 16:29:42: Epoch [23/25], Step [900/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 16:29:42: Epoch [23/25], Step [950/1289], Loss: 0.0353
|
||||
Fri, 16 Sep 2022 16:29:42: Epoch [23/25], Step [1000/1289], Loss: 0.0494
|
||||
Fri, 16 Sep 2022 16:29:43: Epoch [23/25], Step [1050/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 16:29:43: Epoch [23/25], Step [1100/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 16:29:43: Epoch [23/25], Step [1150/1289], Loss: 0.0905
|
||||
Fri, 16 Sep 2022 16:29:43: Epoch [23/25], Step [1200/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 16:29:44: Epoch [23/25], Step [1250/1289], Loss: 0.0928
|
||||
Fri, 16 Sep 2022 16:29:44: Epoch [24/25], Step [50/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 16:29:44: Epoch [24/25], Step [100/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:29:44: Epoch [24/25], Step [150/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:29:45: Epoch [24/25], Step [200/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:29:45: Epoch [24/25], Step [250/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:29:45: Epoch [24/25], Step [300/1289], Loss: 0.1734
|
||||
Fri, 16 Sep 2022 16:29:45: Epoch [24/25], Step [350/1289], Loss: 0.0504
|
||||
Fri, 16 Sep 2022 16:29:46: Epoch [24/25], Step [400/1289], Loss: 0.0859
|
||||
Fri, 16 Sep 2022 16:29:46: Epoch [24/25], Step [450/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 16:29:46: Epoch [24/25], Step [500/1289], Loss: 0.0527
|
||||
Fri, 16 Sep 2022 16:29:46: Epoch [24/25], Step [550/1289], Loss: 0.0730
|
||||
Fri, 16 Sep 2022 16:29:47: Epoch [24/25], Step [600/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 16:29:47: Epoch [24/25], Step [650/1289], Loss: 0.0567
|
||||
Fri, 16 Sep 2022 16:29:47: Epoch [24/25], Step [700/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:29:47: Epoch [24/25], Step [750/1289], Loss: 0.0318
|
||||
Fri, 16 Sep 2022 16:29:47: Epoch [24/25], Step [800/1289], Loss: 0.0630
|
||||
Fri, 16 Sep 2022 16:29:48: Epoch [24/25], Step [850/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 16:29:48: Epoch [24/25], Step [900/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:29:48: Epoch [24/25], Step [950/1289], Loss: 0.0183
|
||||
Fri, 16 Sep 2022 16:29:48: Epoch [24/25], Step [1000/1289], Loss: 0.0112
|
||||
Fri, 16 Sep 2022 16:29:49: Epoch [24/25], Step [1050/1289], Loss: 0.0442
|
||||
Fri, 16 Sep 2022 16:29:49: Epoch [24/25], Step [1100/1289], Loss: 0.0612
|
||||
Fri, 16 Sep 2022 16:29:49: Epoch [24/25], Step [1150/1289], Loss: 0.1258
|
||||
Fri, 16 Sep 2022 16:29:49: Epoch [24/25], Step [1200/1289], Loss: 0.1314
|
||||
Fri, 16 Sep 2022 16:29:50: Epoch [24/25], Step [1250/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:29:50: Epoch [25/25], Step [50/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:29:50: Epoch [25/25], Step [100/1289], Loss: 0.0049
|
||||
Fri, 16 Sep 2022 16:29:50: Epoch [25/25], Step [150/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:29:51: Epoch [25/25], Step [200/1289], Loss: 0.1280
|
||||
Fri, 16 Sep 2022 16:29:51: Epoch [25/25], Step [250/1289], Loss: 0.0293
|
||||
Fri, 16 Sep 2022 16:29:51: Epoch [25/25], Step [300/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:29:51: Epoch [25/25], Step [350/1289], Loss: 0.0035
|
||||
Fri, 16 Sep 2022 16:29:52: Epoch [25/25], Step [400/1289], Loss: 0.0861
|
||||
Fri, 16 Sep 2022 16:29:52: Epoch [25/25], Step [450/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 16:29:52: Epoch [25/25], Step [500/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 16:29:52: Epoch [25/25], Step [550/1289], Loss: 0.0694
|
||||
Fri, 16 Sep 2022 16:29:53: Epoch [25/25], Step [600/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:29:53: Epoch [25/25], Step [650/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:29:53: Epoch [25/25], Step [700/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:29:53: Epoch [25/25], Step [750/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 16:29:53: Epoch [25/25], Step [800/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:29:54: Epoch [25/25], Step [850/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 16:29:54: Epoch [25/25], Step [900/1289], Loss: 0.0968
|
||||
Fri, 16 Sep 2022 16:29:54: Epoch [25/25], Step [950/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 16:29:54: Epoch [25/25], Step [1000/1289], Loss: 0.0284
|
||||
Fri, 16 Sep 2022 16:29:55: Epoch [25/25], Step [1050/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 16:29:55: Epoch [25/25], Step [1100/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:29:55: Epoch [25/25], Step [1150/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:29:55: Epoch [25/25], Step [1200/1289], Loss: 0.0187
|
||||
Fri, 16 Sep 2022 16:29:56: Epoch [25/25], Step [1250/1289], Loss: 0.0729
|
||||
Fri, 16 Sep 2022 16:29:56: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:29:57: f1 :0.9650224215246638
|
||||
Fri, 16 Sep 2022 16:29:57:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9465 0.9887 0.9671 16247
|
||||
1 0.9879 0.9432 0.9650 15972
|
||||
|
||||
accuracy 0.9661 32219
|
||||
macro avg 0.9672 0.9659 0.9661 32219
|
||||
weighted avg 0.9670 0.9661 0.9661 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:29:57:
|
||||
[[16063 184]
|
||||
[ 908 15064]]
|
||||
Fri, 16 Sep 2022 16:29:57: high_num,high_true,high_false:5551,5151,400
|
||||
Fri, 16 Sep 2022 16:29:57: low_num,low_true,low_false:10421,9913,508
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:08:17: -------------
|
||||
Fri, 16 Sep 2022 16:08:17: layers:(gru,fully connnected layer)-(2,3)
|
||||
Fri, 16 Sep 2022 16:08:17: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:08:17: model parameters - num_layers:2, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:08:17: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:08:17: reading csv file
|
||||
Fri, 16 Sep 2022 16:08:18: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:08:29: procols num: 31
|
||||
Fri, 16 Sep 2022 16:08:29: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:09:53: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:09:55: loader already prepared
|
||||
Fri, 16 Sep 2022 16:09:55: loader中(0:normal,1:high,2:low):Counter({0: 16094, 2: 10406, 1: 5719})
|
||||
Fri, 16 Sep 2022 16:09:57: start training
|
||||
Fri, 16 Sep 2022 16:09:57: Epoch [1/25], Step [50/1289], Loss: 0.3333
|
||||
Fri, 16 Sep 2022 16:09:57: Epoch [1/25], Step [100/1289], Loss: 0.4719
|
||||
Fri, 16 Sep 2022 16:09:57: Epoch [1/25], Step [150/1289], Loss: 0.3869
|
||||
Fri, 16 Sep 2022 16:09:58: Epoch [1/25], Step [200/1289], Loss: 0.3565
|
||||
Fri, 16 Sep 2022 16:09:58: Epoch [1/25], Step [250/1289], Loss: 0.2246
|
||||
Fri, 16 Sep 2022 16:09:58: Epoch [1/25], Step [300/1289], Loss: 0.2440
|
||||
Fri, 16 Sep 2022 16:09:58: Epoch [1/25], Step [350/1289], Loss: 0.4067
|
||||
Fri, 16 Sep 2022 16:09:59: Epoch [1/25], Step [400/1289], Loss: 0.1911
|
||||
Fri, 16 Sep 2022 16:09:59: Epoch [1/25], Step [450/1289], Loss: 0.1792
|
||||
Fri, 16 Sep 2022 16:09:59: Epoch [1/25], Step [500/1289], Loss: 0.1677
|
||||
Fri, 16 Sep 2022 16:09:59: Epoch [1/25], Step [550/1289], Loss: 0.1983
|
||||
Fri, 16 Sep 2022 16:10:00: Epoch [1/25], Step [600/1289], Loss: 0.1732
|
||||
Fri, 16 Sep 2022 16:10:00: Epoch [1/25], Step [650/1289], Loss: 0.0890
|
||||
Fri, 16 Sep 2022 16:10:00: Epoch [1/25], Step [700/1289], Loss: 0.1495
|
||||
Fri, 16 Sep 2022 16:10:01: Epoch [1/25], Step [750/1289], Loss: 0.1943
|
||||
Fri, 16 Sep 2022 16:10:01: Epoch [1/25], Step [800/1289], Loss: 0.1794
|
||||
Fri, 16 Sep 2022 16:10:01: Epoch [1/25], Step [850/1289], Loss: 0.2024
|
||||
Fri, 16 Sep 2022 16:10:01: Epoch [1/25], Step [900/1289], Loss: 0.2005
|
||||
Fri, 16 Sep 2022 16:10:02: Epoch [1/25], Step [950/1289], Loss: 0.2016
|
||||
Fri, 16 Sep 2022 16:10:02: Epoch [1/25], Step [1000/1289], Loss: 0.2183
|
||||
Fri, 16 Sep 2022 16:10:02: Epoch [1/25], Step [1050/1289], Loss: 0.2077
|
||||
Fri, 16 Sep 2022 16:10:03: Epoch [1/25], Step [1100/1289], Loss: 0.1042
|
||||
Fri, 16 Sep 2022 16:10:03: Epoch [1/25], Step [1150/1289], Loss: 0.1605
|
||||
Fri, 16 Sep 2022 16:10:03: Epoch [1/25], Step [1200/1289], Loss: 0.1263
|
||||
Fri, 16 Sep 2022 16:10:03: Epoch [1/25], Step [1250/1289], Loss: 0.1876
|
||||
Fri, 16 Sep 2022 16:10:04: Epoch [2/25], Step [50/1289], Loss: 0.2678
|
||||
Fri, 16 Sep 2022 16:10:04: Epoch [2/25], Step [100/1289], Loss: 0.1688
|
||||
Fri, 16 Sep 2022 16:10:04: Epoch [2/25], Step [150/1289], Loss: 0.1879
|
||||
Fri, 16 Sep 2022 16:10:05: Epoch [2/25], Step [200/1289], Loss: 0.1989
|
||||
Fri, 16 Sep 2022 16:10:05: Epoch [2/25], Step [250/1289], Loss: 0.0808
|
||||
Fri, 16 Sep 2022 16:10:05: Epoch [2/25], Step [300/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:10:05: Epoch [2/25], Step [350/1289], Loss: 0.2001
|
||||
Fri, 16 Sep 2022 16:10:06: Epoch [2/25], Step [400/1289], Loss: 0.1911
|
||||
Fri, 16 Sep 2022 16:10:06: Epoch [2/25], Step [450/1289], Loss: 0.1321
|
||||
Fri, 16 Sep 2022 16:10:06: Epoch [2/25], Step [500/1289], Loss: 0.1053
|
||||
Fri, 16 Sep 2022 16:10:06: Epoch [2/25], Step [550/1289], Loss: 0.1050
|
||||
Fri, 16 Sep 2022 16:10:07: Epoch [2/25], Step [600/1289], Loss: 0.1495
|
||||
Fri, 16 Sep 2022 16:10:07: Epoch [2/25], Step [650/1289], Loss: 0.1413
|
||||
Fri, 16 Sep 2022 16:10:07: Epoch [2/25], Step [700/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:10:07: Epoch [2/25], Step [750/1289], Loss: 0.2213
|
||||
Fri, 16 Sep 2022 16:10:08: Epoch [2/25], Step [800/1289], Loss: 0.0723
|
||||
Fri, 16 Sep 2022 16:10:08: Epoch [2/25], Step [850/1289], Loss: 0.0804
|
||||
Fri, 16 Sep 2022 16:10:08: Epoch [2/25], Step [900/1289], Loss: 0.1356
|
||||
Fri, 16 Sep 2022 16:10:08: Epoch [2/25], Step [950/1289], Loss: 0.1257
|
||||
Fri, 16 Sep 2022 16:10:09: Epoch [2/25], Step [1000/1289], Loss: 0.2130
|
||||
Fri, 16 Sep 2022 16:10:09: Epoch [2/25], Step [1050/1289], Loss: 0.0895
|
||||
Fri, 16 Sep 2022 16:10:09: Epoch [2/25], Step [1100/1289], Loss: 0.1494
|
||||
Fri, 16 Sep 2022 16:10:09: Epoch [2/25], Step [1150/1289], Loss: 0.1675
|
||||
Fri, 16 Sep 2022 16:10:10: Epoch [2/25], Step [1200/1289], Loss: 0.2198
|
||||
Fri, 16 Sep 2022 16:10:10: Epoch [2/25], Step [1250/1289], Loss: 0.0858
|
||||
Fri, 16 Sep 2022 16:10:10: Epoch [3/25], Step [50/1289], Loss: 0.1204
|
||||
Fri, 16 Sep 2022 16:10:11: Epoch [3/25], Step [100/1289], Loss: 0.1701
|
||||
Fri, 16 Sep 2022 16:10:11: Epoch [3/25], Step [150/1289], Loss: 0.1142
|
||||
Fri, 16 Sep 2022 16:10:11: Epoch [3/25], Step [200/1289], Loss: 0.1533
|
||||
Fri, 16 Sep 2022 16:10:11: Epoch [3/25], Step [250/1289], Loss: 0.1075
|
||||
Fri, 16 Sep 2022 16:10:12: Epoch [3/25], Step [300/1289], Loss: 0.1035
|
||||
Fri, 16 Sep 2022 16:10:12: Epoch [3/25], Step [350/1289], Loss: 0.2692
|
||||
Fri, 16 Sep 2022 16:10:12: Epoch [3/25], Step [400/1289], Loss: 0.1530
|
||||
Fri, 16 Sep 2022 16:10:12: Epoch [3/25], Step [450/1289], Loss: 0.1824
|
||||
Fri, 16 Sep 2022 16:10:13: Epoch [3/25], Step [500/1289], Loss: 0.0838
|
||||
Fri, 16 Sep 2022 16:10:13: Epoch [3/25], Step [550/1289], Loss: 0.1316
|
||||
Fri, 16 Sep 2022 16:10:13: Epoch [3/25], Step [600/1289], Loss: 0.1532
|
||||
Fri, 16 Sep 2022 16:10:13: Epoch [3/25], Step [650/1289], Loss: 0.1614
|
||||
Fri, 16 Sep 2022 16:10:14: Epoch [3/25], Step [700/1289], Loss: 0.1241
|
||||
Fri, 16 Sep 2022 16:10:14: Epoch [3/25], Step [750/1289], Loss: 0.1153
|
||||
Fri, 16 Sep 2022 16:10:14: Epoch [3/25], Step [800/1289], Loss: 0.1171
|
||||
Fri, 16 Sep 2022 16:10:14: Epoch [3/25], Step [850/1289], Loss: 0.0691
|
||||
Fri, 16 Sep 2022 16:10:15: Epoch [3/25], Step [900/1289], Loss: 0.0951
|
||||
Fri, 16 Sep 2022 16:10:15: Epoch [3/25], Step [950/1289], Loss: 0.1045
|
||||
Fri, 16 Sep 2022 16:10:15: Epoch [3/25], Step [1000/1289], Loss: 0.0793
|
||||
Fri, 16 Sep 2022 16:10:15: Epoch [3/25], Step [1050/1289], Loss: 0.1321
|
||||
Fri, 16 Sep 2022 16:10:16: Epoch [3/25], Step [1100/1289], Loss: 0.1035
|
||||
Fri, 16 Sep 2022 16:10:16: Epoch [3/25], Step [1150/1289], Loss: 0.0778
|
||||
Fri, 16 Sep 2022 16:10:16: Epoch [3/25], Step [1200/1289], Loss: 0.1168
|
||||
Fri, 16 Sep 2022 16:10:16: Epoch [3/25], Step [1250/1289], Loss: 0.0816
|
||||
Fri, 16 Sep 2022 16:10:17: Epoch [4/25], Step [50/1289], Loss: 0.1184
|
||||
Fri, 16 Sep 2022 16:10:17: Epoch [4/25], Step [100/1289], Loss: 0.1483
|
||||
Fri, 16 Sep 2022 16:10:17: Epoch [4/25], Step [150/1289], Loss: 0.1951
|
||||
Fri, 16 Sep 2022 16:10:17: Epoch [4/25], Step [200/1289], Loss: 0.0658
|
||||
Fri, 16 Sep 2022 16:10:18: Epoch [4/25], Step [250/1289], Loss: 0.1174
|
||||
Fri, 16 Sep 2022 16:10:18: Epoch [4/25], Step [300/1289], Loss: 0.1087
|
||||
Fri, 16 Sep 2022 16:10:18: Epoch [4/25], Step [350/1289], Loss: 0.1045
|
||||
Fri, 16 Sep 2022 16:10:18: Epoch [4/25], Step [400/1289], Loss: 0.1966
|
||||
Fri, 16 Sep 2022 16:10:19: Epoch [4/25], Step [450/1289], Loss: 0.0912
|
||||
Fri, 16 Sep 2022 16:10:19: Epoch [4/25], Step [500/1289], Loss: 0.0904
|
||||
Fri, 16 Sep 2022 16:10:19: Epoch [4/25], Step [550/1289], Loss: 0.1846
|
||||
Fri, 16 Sep 2022 16:10:19: Epoch [4/25], Step [600/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:10:20: Epoch [4/25], Step [650/1289], Loss: 0.0929
|
||||
Fri, 16 Sep 2022 16:10:20: Epoch [4/25], Step [700/1289], Loss: 0.0831
|
||||
Fri, 16 Sep 2022 16:10:20: Epoch [4/25], Step [750/1289], Loss: 0.0560
|
||||
Fri, 16 Sep 2022 16:10:20: Epoch [4/25], Step [800/1289], Loss: 0.1509
|
||||
Fri, 16 Sep 2022 16:10:21: Epoch [4/25], Step [850/1289], Loss: 0.1454
|
||||
Fri, 16 Sep 2022 16:10:21: Epoch [4/25], Step [900/1289], Loss: 0.1888
|
||||
Fri, 16 Sep 2022 16:10:21: Epoch [4/25], Step [950/1289], Loss: 0.0529
|
||||
Fri, 16 Sep 2022 16:10:21: Epoch [4/25], Step [1000/1289], Loss: 0.1158
|
||||
Fri, 16 Sep 2022 16:10:22: Epoch [4/25], Step [1050/1289], Loss: 0.1714
|
||||
Fri, 16 Sep 2022 16:10:22: Epoch [4/25], Step [1100/1289], Loss: 0.1338
|
||||
Fri, 16 Sep 2022 16:10:22: Epoch [4/25], Step [1150/1289], Loss: 0.1038
|
||||
Fri, 16 Sep 2022 16:10:22: Epoch [4/25], Step [1200/1289], Loss: 0.0970
|
||||
Fri, 16 Sep 2022 16:10:23: Epoch [4/25], Step [1250/1289], Loss: 0.0598
|
||||
Fri, 16 Sep 2022 16:10:23: Epoch [5/25], Step [50/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 16:10:23: Epoch [5/25], Step [100/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 16:10:24: Epoch [5/25], Step [150/1289], Loss: 0.1661
|
||||
Fri, 16 Sep 2022 16:10:24: Epoch [5/25], Step [200/1289], Loss: 0.1203
|
||||
Fri, 16 Sep 2022 16:10:24: Epoch [5/25], Step [250/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 16:10:24: Epoch [5/25], Step [300/1289], Loss: 0.1652
|
||||
Fri, 16 Sep 2022 16:10:25: Epoch [5/25], Step [350/1289], Loss: 0.0543
|
||||
Fri, 16 Sep 2022 16:10:25: Epoch [5/25], Step [400/1289], Loss: 0.0971
|
||||
Fri, 16 Sep 2022 16:10:25: Epoch [5/25], Step [450/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 16:10:25: Epoch [5/25], Step [500/1289], Loss: 0.1044
|
||||
Fri, 16 Sep 2022 16:10:26: Epoch [5/25], Step [550/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 16:10:26: Epoch [5/25], Step [600/1289], Loss: 0.1080
|
||||
Fri, 16 Sep 2022 16:10:26: Epoch [5/25], Step [650/1289], Loss: 0.1141
|
||||
Fri, 16 Sep 2022 16:10:26: Epoch [5/25], Step [700/1289], Loss: 0.0939
|
||||
Fri, 16 Sep 2022 16:10:27: Epoch [5/25], Step [750/1289], Loss: 0.0972
|
||||
Fri, 16 Sep 2022 16:10:27: Epoch [5/25], Step [800/1289], Loss: 0.0602
|
||||
Fri, 16 Sep 2022 16:10:27: Epoch [5/25], Step [850/1289], Loss: 0.0931
|
||||
Fri, 16 Sep 2022 16:10:27: Epoch [5/25], Step [900/1289], Loss: 0.0838
|
||||
Fri, 16 Sep 2022 16:10:28: Epoch [5/25], Step [950/1289], Loss: 0.0801
|
||||
Fri, 16 Sep 2022 16:10:28: Epoch [5/25], Step [1000/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:10:28: Epoch [5/25], Step [1050/1289], Loss: 0.1127
|
||||
Fri, 16 Sep 2022 16:10:28: Epoch [5/25], Step [1100/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:10:29: Epoch [5/25], Step [1150/1289], Loss: 0.0784
|
||||
Fri, 16 Sep 2022 16:10:29: Epoch [5/25], Step [1200/1289], Loss: 0.1313
|
||||
Fri, 16 Sep 2022 16:10:29: Epoch [5/25], Step [1250/1289], Loss: 0.0572
|
||||
Fri, 16 Sep 2022 16:10:30: Epoch [6/25], Step [50/1289], Loss: 0.0377
|
||||
Fri, 16 Sep 2022 16:10:30: Epoch [6/25], Step [100/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:10:30: Epoch [6/25], Step [150/1289], Loss: 0.0727
|
||||
Fri, 16 Sep 2022 16:10:30: Epoch [6/25], Step [200/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:10:31: Epoch [6/25], Step [250/1289], Loss: 0.2182
|
||||
Fri, 16 Sep 2022 16:10:31: Epoch [6/25], Step [300/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:10:31: Epoch [6/25], Step [350/1289], Loss: 0.1235
|
||||
Fri, 16 Sep 2022 16:10:31: Epoch [6/25], Step [400/1289], Loss: 0.1758
|
||||
Fri, 16 Sep 2022 16:10:32: Epoch [6/25], Step [450/1289], Loss: 0.0652
|
||||
Fri, 16 Sep 2022 16:10:32: Epoch [6/25], Step [500/1289], Loss: 0.0393
|
||||
Fri, 16 Sep 2022 16:10:32: Epoch [6/25], Step [550/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:10:32: Epoch [6/25], Step [600/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:10:33: Epoch [6/25], Step [650/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:10:33: Epoch [6/25], Step [700/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:10:33: Epoch [6/25], Step [750/1289], Loss: 0.0347
|
||||
Fri, 16 Sep 2022 16:10:33: Epoch [6/25], Step [800/1289], Loss: 0.1382
|
||||
Fri, 16 Sep 2022 16:10:34: Epoch [6/25], Step [850/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 16:10:34: Epoch [6/25], Step [900/1289], Loss: 0.0543
|
||||
Fri, 16 Sep 2022 16:10:34: Epoch [6/25], Step [950/1289], Loss: 0.1104
|
||||
Fri, 16 Sep 2022 16:10:34: Epoch [6/25], Step [1000/1289], Loss: 0.0829
|
||||
Fri, 16 Sep 2022 16:10:35: Epoch [6/25], Step [1050/1289], Loss: 0.0682
|
||||
Fri, 16 Sep 2022 16:10:35: Epoch [6/25], Step [1100/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:10:35: Epoch [6/25], Step [1150/1289], Loss: 0.0992
|
||||
Fri, 16 Sep 2022 16:10:35: Epoch [6/25], Step [1200/1289], Loss: 0.1483
|
||||
Fri, 16 Sep 2022 16:10:35: Epoch [6/25], Step [1250/1289], Loss: 0.1033
|
||||
Fri, 16 Sep 2022 16:10:36: Epoch [7/25], Step [50/1289], Loss: 0.1455
|
||||
Fri, 16 Sep 2022 16:10:36: Epoch [7/25], Step [100/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:10:36: Epoch [7/25], Step [150/1289], Loss: 0.0667
|
||||
Fri, 16 Sep 2022 16:10:37: Epoch [7/25], Step [200/1289], Loss: 0.0206
|
||||
Fri, 16 Sep 2022 16:10:37: Epoch [7/25], Step [250/1289], Loss: 0.0337
|
||||
Fri, 16 Sep 2022 16:10:37: Epoch [7/25], Step [300/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:10:37: Epoch [7/25], Step [350/1289], Loss: 0.1235
|
||||
Fri, 16 Sep 2022 16:10:38: Epoch [7/25], Step [400/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 16:10:38: Epoch [7/25], Step [450/1289], Loss: 0.0776
|
||||
Fri, 16 Sep 2022 16:10:38: Epoch [7/25], Step [500/1289], Loss: 0.1101
|
||||
Fri, 16 Sep 2022 16:10:38: Epoch [7/25], Step [550/1289], Loss: 0.1090
|
||||
Fri, 16 Sep 2022 16:10:39: Epoch [7/25], Step [600/1289], Loss: 0.0843
|
||||
Fri, 16 Sep 2022 16:10:39: Epoch [7/25], Step [650/1289], Loss: 0.1166
|
||||
Fri, 16 Sep 2022 16:10:39: Epoch [7/25], Step [700/1289], Loss: 0.1056
|
||||
Fri, 16 Sep 2022 16:10:39: Epoch [7/25], Step [750/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 16:10:40: Epoch [7/25], Step [800/1289], Loss: 0.0275
|
||||
Fri, 16 Sep 2022 16:10:40: Epoch [7/25], Step [850/1289], Loss: 0.0678
|
||||
Fri, 16 Sep 2022 16:10:40: Epoch [7/25], Step [900/1289], Loss: 0.1048
|
||||
Fri, 16 Sep 2022 16:10:40: Epoch [7/25], Step [950/1289], Loss: 0.0782
|
||||
Fri, 16 Sep 2022 16:10:41: Epoch [7/25], Step [1000/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 16:10:41: Epoch [7/25], Step [1050/1289], Loss: 0.1219
|
||||
Fri, 16 Sep 2022 16:10:41: Epoch [7/25], Step [1100/1289], Loss: 0.1009
|
||||
Fri, 16 Sep 2022 16:10:41: Epoch [7/25], Step [1150/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 16:10:42: Epoch [7/25], Step [1200/1289], Loss: 0.0968
|
||||
Fri, 16 Sep 2022 16:10:42: Epoch [7/25], Step [1250/1289], Loss: 0.0552
|
||||
Fri, 16 Sep 2022 16:10:42: Epoch [8/25], Step [50/1289], Loss: 0.0798
|
||||
Fri, 16 Sep 2022 16:10:42: Epoch [8/25], Step [100/1289], Loss: 0.0231
|
||||
Fri, 16 Sep 2022 16:10:43: Epoch [8/25], Step [150/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:10:43: Epoch [8/25], Step [200/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:10:43: Epoch [8/25], Step [250/1289], Loss: 0.1564
|
||||
Fri, 16 Sep 2022 16:10:43: Epoch [8/25], Step [300/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 16:10:44: Epoch [8/25], Step [350/1289], Loss: 0.0737
|
||||
Fri, 16 Sep 2022 16:10:44: Epoch [8/25], Step [400/1289], Loss: 0.1788
|
||||
Fri, 16 Sep 2022 16:10:44: Epoch [8/25], Step [450/1289], Loss: 0.0454
|
||||
Fri, 16 Sep 2022 16:10:44: Epoch [8/25], Step [500/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:10:45: Epoch [8/25], Step [550/1289], Loss: 0.0303
|
||||
Fri, 16 Sep 2022 16:10:45: Epoch [8/25], Step [600/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 16:10:45: Epoch [8/25], Step [650/1289], Loss: 0.0573
|
||||
Fri, 16 Sep 2022 16:10:45: Epoch [8/25], Step [700/1289], Loss: 0.0561
|
||||
Fri, 16 Sep 2022 16:10:46: Epoch [8/25], Step [750/1289], Loss: 0.0320
|
||||
Fri, 16 Sep 2022 16:10:46: Epoch [8/25], Step [800/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:10:46: Epoch [8/25], Step [850/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 16:10:46: Epoch [8/25], Step [900/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:10:47: Epoch [8/25], Step [950/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 16:10:47: Epoch [8/25], Step [1000/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:10:47: Epoch [8/25], Step [1050/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 16:10:47: Epoch [8/25], Step [1100/1289], Loss: 0.0530
|
||||
Fri, 16 Sep 2022 16:10:48: Epoch [8/25], Step [1150/1289], Loss: 0.1238
|
||||
Fri, 16 Sep 2022 16:10:48: Epoch [8/25], Step [1200/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 16:10:48: Epoch [8/25], Step [1250/1289], Loss: 0.0808
|
||||
Fri, 16 Sep 2022 16:10:49: Epoch [9/25], Step [50/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 16:10:49: Epoch [9/25], Step [100/1289], Loss: 0.0737
|
||||
Fri, 16 Sep 2022 16:10:49: Epoch [9/25], Step [150/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:10:49: Epoch [9/25], Step [200/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 16:10:49: Epoch [9/25], Step [250/1289], Loss: 0.0594
|
||||
Fri, 16 Sep 2022 16:10:50: Epoch [9/25], Step [300/1289], Loss: 0.0574
|
||||
Fri, 16 Sep 2022 16:10:50: Epoch [9/25], Step [350/1289], Loss: 0.0764
|
||||
Fri, 16 Sep 2022 16:10:50: Epoch [9/25], Step [400/1289], Loss: 0.0813
|
||||
Fri, 16 Sep 2022 16:10:50: Epoch [9/25], Step [450/1289], Loss: 0.0776
|
||||
Fri, 16 Sep 2022 16:10:51: Epoch [9/25], Step [500/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 16:10:51: Epoch [9/25], Step [550/1289], Loss: 0.0386
|
||||
Fri, 16 Sep 2022 16:10:51: Epoch [9/25], Step [600/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:10:51: Epoch [9/25], Step [650/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:10:52: Epoch [9/25], Step [700/1289], Loss: 0.0676
|
||||
Fri, 16 Sep 2022 16:10:52: Epoch [9/25], Step [750/1289], Loss: 0.0398
|
||||
Fri, 16 Sep 2022 16:10:52: Epoch [9/25], Step [800/1289], Loss: 0.0915
|
||||
Fri, 16 Sep 2022 16:10:52: Epoch [9/25], Step [850/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 16:10:53: Epoch [9/25], Step [900/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:10:53: Epoch [9/25], Step [950/1289], Loss: 0.1266
|
||||
Fri, 16 Sep 2022 16:10:53: Epoch [9/25], Step [1000/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 16:10:53: Epoch [9/25], Step [1050/1289], Loss: 0.0706
|
||||
Fri, 16 Sep 2022 16:10:54: Epoch [9/25], Step [1100/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 16:10:54: Epoch [9/25], Step [1150/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:10:54: Epoch [9/25], Step [1200/1289], Loss: 0.0802
|
||||
Fri, 16 Sep 2022 16:10:54: Epoch [9/25], Step [1250/1289], Loss: 0.0777
|
||||
Fri, 16 Sep 2022 16:10:55: Epoch [10/25], Step [50/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 16:10:55: Epoch [10/25], Step [100/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:10:55: Epoch [10/25], Step [150/1289], Loss: 0.0807
|
||||
Fri, 16 Sep 2022 16:10:56: Epoch [10/25], Step [200/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:10:56: Epoch [10/25], Step [250/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 16:10:56: Epoch [10/25], Step [300/1289], Loss: 0.0756
|
||||
Fri, 16 Sep 2022 16:10:56: Epoch [10/25], Step [350/1289], Loss: 0.0096
|
||||
Fri, 16 Sep 2022 16:10:57: Epoch [10/25], Step [400/1289], Loss: 0.1071
|
||||
Fri, 16 Sep 2022 16:10:57: Epoch [10/25], Step [450/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 16:10:57: Epoch [10/25], Step [500/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:10:57: Epoch [10/25], Step [550/1289], Loss: 0.0738
|
||||
Fri, 16 Sep 2022 16:10:58: Epoch [10/25], Step [600/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 16:10:58: Epoch [10/25], Step [650/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 16:10:58: Epoch [10/25], Step [700/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:10:58: Epoch [10/25], Step [750/1289], Loss: 0.0474
|
||||
Fri, 16 Sep 2022 16:10:59: Epoch [10/25], Step [800/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:10:59: Epoch [10/25], Step [850/1289], Loss: 0.0381
|
||||
Fri, 16 Sep 2022 16:10:59: Epoch [10/25], Step [900/1289], Loss: 0.0354
|
||||
Fri, 16 Sep 2022 16:10:59: Epoch [10/25], Step [950/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:11:00: Epoch [10/25], Step [1000/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:11:00: Epoch [10/25], Step [1050/1289], Loss: 0.0752
|
||||
Fri, 16 Sep 2022 16:11:00: Epoch [10/25], Step [1100/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:11:01: Epoch [10/25], Step [1150/1289], Loss: 0.0736
|
||||
Fri, 16 Sep 2022 16:11:01: Epoch [10/25], Step [1200/1289], Loss: 0.0291
|
||||
Fri, 16 Sep 2022 16:11:01: Epoch [10/25], Step [1250/1289], Loss: 0.0464
|
||||
Fri, 16 Sep 2022 16:11:02: Epoch [11/25], Step [50/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:11:02: Epoch [11/25], Step [100/1289], Loss: 0.0475
|
||||
Fri, 16 Sep 2022 16:11:02: Epoch [11/25], Step [150/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 16:11:02: Epoch [11/25], Step [200/1289], Loss: 0.1015
|
||||
Fri, 16 Sep 2022 16:11:03: Epoch [11/25], Step [250/1289], Loss: 0.0337
|
||||
Fri, 16 Sep 2022 16:11:03: Epoch [11/25], Step [300/1289], Loss: 0.0344
|
||||
Fri, 16 Sep 2022 16:11:03: Epoch [11/25], Step [350/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:11:03: Epoch [11/25], Step [400/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 16:11:04: Epoch [11/25], Step [450/1289], Loss: 0.0106
|
||||
Fri, 16 Sep 2022 16:11:04: Epoch [11/25], Step [500/1289], Loss: 0.0746
|
||||
Fri, 16 Sep 2022 16:11:04: Epoch [11/25], Step [550/1289], Loss: 0.1177
|
||||
Fri, 16 Sep 2022 16:11:04: Epoch [11/25], Step [600/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:11:05: Epoch [11/25], Step [650/1289], Loss: 0.0207
|
||||
Fri, 16 Sep 2022 16:11:05: Epoch [11/25], Step [700/1289], Loss: 0.0892
|
||||
Fri, 16 Sep 2022 16:11:05: Epoch [11/25], Step [750/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 16:11:05: Epoch [11/25], Step [800/1289], Loss: 0.1452
|
||||
Fri, 16 Sep 2022 16:11:06: Epoch [11/25], Step [850/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 16:11:06: Epoch [11/25], Step [900/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 16:11:06: Epoch [11/25], Step [950/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 16:11:06: Epoch [11/25], Step [1000/1289], Loss: 0.0332
|
||||
Fri, 16 Sep 2022 16:11:07: Epoch [11/25], Step [1050/1289], Loss: 0.1286
|
||||
Fri, 16 Sep 2022 16:11:07: Epoch [11/25], Step [1100/1289], Loss: 0.0592
|
||||
Fri, 16 Sep 2022 16:11:07: Epoch [11/25], Step [1150/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 16:11:08: Epoch [11/25], Step [1200/1289], Loss: 0.0507
|
||||
Fri, 16 Sep 2022 16:11:08: Epoch [11/25], Step [1250/1289], Loss: 0.0363
|
||||
Fri, 16 Sep 2022 16:11:08: Epoch [12/25], Step [50/1289], Loss: 0.0963
|
||||
Fri, 16 Sep 2022 16:11:09: Epoch [12/25], Step [100/1289], Loss: 0.0239
|
||||
Fri, 16 Sep 2022 16:11:09: Epoch [12/25], Step [150/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 16:11:09: Epoch [12/25], Step [200/1289], Loss: 0.0781
|
||||
Fri, 16 Sep 2022 16:11:10: Epoch [12/25], Step [250/1289], Loss: 0.0461
|
||||
Fri, 16 Sep 2022 16:11:10: Epoch [12/25], Step [300/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:11:10: Epoch [12/25], Step [350/1289], Loss: 0.1027
|
||||
Fri, 16 Sep 2022 16:11:10: Epoch [12/25], Step [400/1289], Loss: 0.0740
|
||||
Fri, 16 Sep 2022 16:11:11: Epoch [12/25], Step [450/1289], Loss: 0.0558
|
||||
Fri, 16 Sep 2022 16:11:11: Epoch [12/25], Step [500/1289], Loss: 0.0188
|
||||
Fri, 16 Sep 2022 16:11:11: Epoch [12/25], Step [550/1289], Loss: 0.0201
|
||||
Fri, 16 Sep 2022 16:11:12: Epoch [12/25], Step [600/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 16:11:12: Epoch [12/25], Step [650/1289], Loss: 0.0324
|
||||
Fri, 16 Sep 2022 16:11:12: Epoch [12/25], Step [700/1289], Loss: 0.0340
|
||||
Fri, 16 Sep 2022 16:11:12: Epoch [12/25], Step [750/1289], Loss: 0.0539
|
||||
Fri, 16 Sep 2022 16:11:13: Epoch [12/25], Step [800/1289], Loss: 0.0749
|
||||
Fri, 16 Sep 2022 16:11:13: Epoch [12/25], Step [850/1289], Loss: 0.0362
|
||||
Fri, 16 Sep 2022 16:11:13: Epoch [12/25], Step [900/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 16:11:14: Epoch [12/25], Step [950/1289], Loss: 0.0085
|
||||
Fri, 16 Sep 2022 16:11:14: Epoch [12/25], Step [1000/1289], Loss: 0.2060
|
||||
Fri, 16 Sep 2022 16:11:14: Epoch [12/25], Step [1050/1289], Loss: 0.0635
|
||||
Fri, 16 Sep 2022 16:11:15: Epoch [12/25], Step [1100/1289], Loss: 0.0418
|
||||
Fri, 16 Sep 2022 16:11:15: Epoch [12/25], Step [1150/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:11:16: Epoch [12/25], Step [1200/1289], Loss: 0.0460
|
||||
Fri, 16 Sep 2022 16:11:16: Epoch [12/25], Step [1250/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:11:16: Epoch [13/25], Step [50/1289], Loss: 0.0692
|
||||
Fri, 16 Sep 2022 16:11:17: Epoch [13/25], Step [100/1289], Loss: 0.0102
|
||||
Fri, 16 Sep 2022 16:11:17: Epoch [13/25], Step [150/1289], Loss: 0.0613
|
||||
Fri, 16 Sep 2022 16:11:17: Epoch [13/25], Step [200/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:11:17: Epoch [13/25], Step [250/1289], Loss: 0.0707
|
||||
Fri, 16 Sep 2022 16:11:18: Epoch [13/25], Step [300/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:11:18: Epoch [13/25], Step [350/1289], Loss: 0.0763
|
||||
Fri, 16 Sep 2022 16:11:18: Epoch [13/25], Step [400/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 16:11:18: Epoch [13/25], Step [450/1289], Loss: 0.0386
|
||||
Fri, 16 Sep 2022 16:11:19: Epoch [13/25], Step [500/1289], Loss: 0.0343
|
||||
Fri, 16 Sep 2022 16:11:19: Epoch [13/25], Step [550/1289], Loss: 0.0306
|
||||
Fri, 16 Sep 2022 16:11:19: Epoch [13/25], Step [600/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:11:19: Epoch [13/25], Step [650/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:11:20: Epoch [13/25], Step [700/1289], Loss: 0.0972
|
||||
Fri, 16 Sep 2022 16:11:20: Epoch [13/25], Step [750/1289], Loss: 0.1181
|
||||
Fri, 16 Sep 2022 16:11:20: Epoch [13/25], Step [800/1289], Loss: 0.0501
|
||||
Fri, 16 Sep 2022 16:11:21: Epoch [13/25], Step [850/1289], Loss: 0.0663
|
||||
Fri, 16 Sep 2022 16:11:21: Epoch [13/25], Step [900/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:11:21: Epoch [13/25], Step [950/1289], Loss: 0.0195
|
||||
Fri, 16 Sep 2022 16:11:21: Epoch [13/25], Step [1000/1289], Loss: 0.0051
|
||||
Fri, 16 Sep 2022 16:11:22: Epoch [13/25], Step [1050/1289], Loss: 0.0595
|
||||
Fri, 16 Sep 2022 16:11:22: Epoch [13/25], Step [1100/1289], Loss: 0.0993
|
||||
Fri, 16 Sep 2022 16:11:22: Epoch [13/25], Step [1150/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:11:22: Epoch [13/25], Step [1200/1289], Loss: 0.0369
|
||||
Fri, 16 Sep 2022 16:11:23: Epoch [13/25], Step [1250/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:11:23: Epoch [14/25], Step [50/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 16:11:23: Epoch [14/25], Step [100/1289], Loss: 0.0276
|
||||
Fri, 16 Sep 2022 16:11:23: Epoch [14/25], Step [150/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:11:24: Epoch [14/25], Step [200/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:11:24: Epoch [14/25], Step [250/1289], Loss: 0.0152
|
||||
Fri, 16 Sep 2022 16:11:24: Epoch [14/25], Step [300/1289], Loss: 0.1301
|
||||
Fri, 16 Sep 2022 16:11:24: Epoch [14/25], Step [350/1289], Loss: 0.0085
|
||||
Fri, 16 Sep 2022 16:11:25: Epoch [14/25], Step [400/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:11:25: Epoch [14/25], Step [450/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:11:25: Epoch [14/25], Step [500/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:11:25: Epoch [14/25], Step [550/1289], Loss: 0.0164
|
||||
Fri, 16 Sep 2022 16:11:26: Epoch [14/25], Step [600/1289], Loss: 0.0800
|
||||
Fri, 16 Sep 2022 16:11:26: Epoch [14/25], Step [650/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 16:11:26: Epoch [14/25], Step [700/1289], Loss: 0.1211
|
||||
Fri, 16 Sep 2022 16:11:27: Epoch [14/25], Step [750/1289], Loss: 0.0641
|
||||
Fri, 16 Sep 2022 16:11:27: Epoch [14/25], Step [800/1289], Loss: 0.0153
|
||||
Fri, 16 Sep 2022 16:11:27: Epoch [14/25], Step [850/1289], Loss: 0.0838
|
||||
Fri, 16 Sep 2022 16:11:27: Epoch [14/25], Step [900/1289], Loss: 0.0513
|
||||
Fri, 16 Sep 2022 16:11:28: Epoch [14/25], Step [950/1289], Loss: 0.1064
|
||||
Fri, 16 Sep 2022 16:11:28: Epoch [14/25], Step [1000/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 16:11:28: Epoch [14/25], Step [1050/1289], Loss: 0.1168
|
||||
Fri, 16 Sep 2022 16:11:28: Epoch [14/25], Step [1100/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 16:11:29: Epoch [14/25], Step [1150/1289], Loss: 0.0847
|
||||
Fri, 16 Sep 2022 16:11:29: Epoch [14/25], Step [1200/1289], Loss: 0.0324
|
||||
Fri, 16 Sep 2022 16:11:29: Epoch [14/25], Step [1250/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 16:11:30: Epoch [15/25], Step [50/1289], Loss: 0.0494
|
||||
Fri, 16 Sep 2022 16:11:30: Epoch [15/25], Step [100/1289], Loss: 0.0578
|
||||
Fri, 16 Sep 2022 16:11:30: Epoch [15/25], Step [150/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:11:30: Epoch [15/25], Step [200/1289], Loss: 0.0949
|
||||
Fri, 16 Sep 2022 16:11:31: Epoch [15/25], Step [250/1289], Loss: 0.0291
|
||||
Fri, 16 Sep 2022 16:11:31: Epoch [15/25], Step [300/1289], Loss: 0.0473
|
||||
Fri, 16 Sep 2022 16:11:31: Epoch [15/25], Step [350/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:11:31: Epoch [15/25], Step [400/1289], Loss: 0.1426
|
||||
Fri, 16 Sep 2022 16:11:32: Epoch [15/25], Step [450/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:11:32: Epoch [15/25], Step [500/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 16:11:32: Epoch [15/25], Step [550/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:11:32: Epoch [15/25], Step [600/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:11:33: Epoch [15/25], Step [650/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 16:11:33: Epoch [15/25], Step [700/1289], Loss: 0.0504
|
||||
Fri, 16 Sep 2022 16:11:33: Epoch [15/25], Step [750/1289], Loss: 0.0113
|
||||
Fri, 16 Sep 2022 16:11:33: Epoch [15/25], Step [800/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:11:34: Epoch [15/25], Step [850/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 16:11:34: Epoch [15/25], Step [900/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:11:34: Epoch [15/25], Step [950/1289], Loss: 0.0346
|
||||
Fri, 16 Sep 2022 16:11:34: Epoch [15/25], Step [1000/1289], Loss: 0.0570
|
||||
Fri, 16 Sep 2022 16:11:35: Epoch [15/25], Step [1050/1289], Loss: 0.0798
|
||||
Fri, 16 Sep 2022 16:11:35: Epoch [15/25], Step [1100/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 16:11:35: Epoch [15/25], Step [1150/1289], Loss: 0.0817
|
||||
Fri, 16 Sep 2022 16:11:35: Epoch [15/25], Step [1200/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 16:11:36: Epoch [15/25], Step [1250/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:11:36: Epoch [16/25], Step [50/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 16:11:36: Epoch [16/25], Step [100/1289], Loss: 0.1551
|
||||
Fri, 16 Sep 2022 16:11:37: Epoch [16/25], Step [150/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 16:11:37: Epoch [16/25], Step [200/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 16:11:37: Epoch [16/25], Step [250/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:11:37: Epoch [16/25], Step [300/1289], Loss: 0.0292
|
||||
Fri, 16 Sep 2022 16:11:38: Epoch [16/25], Step [350/1289], Loss: 0.0739
|
||||
Fri, 16 Sep 2022 16:11:38: Epoch [16/25], Step [400/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:11:38: Epoch [16/25], Step [450/1289], Loss: 0.0303
|
||||
Fri, 16 Sep 2022 16:11:38: Epoch [16/25], Step [500/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:11:39: Epoch [16/25], Step [550/1289], Loss: 0.0670
|
||||
Fri, 16 Sep 2022 16:11:39: Epoch [16/25], Step [600/1289], Loss: 0.0169
|
||||
Fri, 16 Sep 2022 16:11:39: Epoch [16/25], Step [650/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 16:11:39: Epoch [16/25], Step [700/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:11:40: Epoch [16/25], Step [750/1289], Loss: 0.0329
|
||||
Fri, 16 Sep 2022 16:11:40: Epoch [16/25], Step [800/1289], Loss: 0.1013
|
||||
Fri, 16 Sep 2022 16:11:40: Epoch [16/25], Step [850/1289], Loss: 0.0615
|
||||
Fri, 16 Sep 2022 16:11:40: Epoch [16/25], Step [900/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:11:40: Epoch [16/25], Step [950/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:11:41: Epoch [16/25], Step [1000/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:11:41: Epoch [16/25], Step [1050/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 16:11:41: Epoch [16/25], Step [1100/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 16:11:41: Epoch [16/25], Step [1150/1289], Loss: 0.1258
|
||||
Fri, 16 Sep 2022 16:11:42: Epoch [16/25], Step [1200/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 16:11:42: Epoch [16/25], Step [1250/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:11:42: Epoch [17/25], Step [50/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:11:43: Epoch [17/25], Step [100/1289], Loss: 0.0509
|
||||
Fri, 16 Sep 2022 16:11:43: Epoch [17/25], Step [150/1289], Loss: 0.0581
|
||||
Fri, 16 Sep 2022 16:11:43: Epoch [17/25], Step [200/1289], Loss: 0.0487
|
||||
Fri, 16 Sep 2022 16:11:43: Epoch [17/25], Step [250/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 16:11:44: Epoch [17/25], Step [300/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 16:11:44: Epoch [17/25], Step [350/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:11:44: Epoch [17/25], Step [400/1289], Loss: 0.0460
|
||||
Fri, 16 Sep 2022 16:11:44: Epoch [17/25], Step [450/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:11:45: Epoch [17/25], Step [500/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 16:11:45: Epoch [17/25], Step [550/1289], Loss: 0.0258
|
||||
Fri, 16 Sep 2022 16:11:45: Epoch [17/25], Step [600/1289], Loss: 0.0711
|
||||
Fri, 16 Sep 2022 16:11:45: Epoch [17/25], Step [650/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 16:11:46: Epoch [17/25], Step [700/1289], Loss: 0.0327
|
||||
Fri, 16 Sep 2022 16:11:46: Epoch [17/25], Step [750/1289], Loss: 0.0504
|
||||
Fri, 16 Sep 2022 16:11:46: Epoch [17/25], Step [800/1289], Loss: 0.1062
|
||||
Fri, 16 Sep 2022 16:11:46: Epoch [17/25], Step [850/1289], Loss: 0.1580
|
||||
Fri, 16 Sep 2022 16:11:47: Epoch [17/25], Step [900/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 16:11:47: Epoch [17/25], Step [950/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 16:11:47: Epoch [17/25], Step [1000/1289], Loss: 0.0520
|
||||
Fri, 16 Sep 2022 16:11:47: Epoch [17/25], Step [1050/1289], Loss: 0.0226
|
||||
Fri, 16 Sep 2022 16:11:48: Epoch [17/25], Step [1100/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:11:48: Epoch [17/25], Step [1150/1289], Loss: 0.0533
|
||||
Fri, 16 Sep 2022 16:11:48: Epoch [17/25], Step [1200/1289], Loss: 0.0092
|
||||
Fri, 16 Sep 2022 16:11:48: Epoch [17/25], Step [1250/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 16:11:49: Epoch [18/25], Step [50/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 16:11:49: Epoch [18/25], Step [100/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 16:11:49: Epoch [18/25], Step [150/1289], Loss: 0.1088
|
||||
Fri, 16 Sep 2022 16:11:49: Epoch [18/25], Step [200/1289], Loss: 0.0666
|
||||
Fri, 16 Sep 2022 16:11:50: Epoch [18/25], Step [250/1289], Loss: 0.0708
|
||||
Fri, 16 Sep 2022 16:11:50: Epoch [18/25], Step [300/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 16:11:50: Epoch [18/25], Step [350/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:11:50: Epoch [18/25], Step [400/1289], Loss: 0.0240
|
||||
Fri, 16 Sep 2022 16:11:51: Epoch [18/25], Step [450/1289], Loss: 0.1060
|
||||
Fri, 16 Sep 2022 16:11:51: Epoch [18/25], Step [500/1289], Loss: 0.0309
|
||||
Fri, 16 Sep 2022 16:11:51: Epoch [18/25], Step [550/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:11:51: Epoch [18/25], Step [600/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:11:52: Epoch [18/25], Step [650/1289], Loss: 0.0801
|
||||
Fri, 16 Sep 2022 16:11:52: Epoch [18/25], Step [700/1289], Loss: 0.0758
|
||||
Fri, 16 Sep 2022 16:11:52: Epoch [18/25], Step [750/1289], Loss: 0.0393
|
||||
Fri, 16 Sep 2022 16:11:52: Epoch [18/25], Step [800/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:11:53: Epoch [18/25], Step [850/1289], Loss: 0.1451
|
||||
Fri, 16 Sep 2022 16:11:53: Epoch [18/25], Step [900/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 16:11:53: Epoch [18/25], Step [950/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 16:11:53: Epoch [18/25], Step [1000/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 16:11:54: Epoch [18/25], Step [1050/1289], Loss: 0.1052
|
||||
Fri, 16 Sep 2022 16:11:54: Epoch [18/25], Step [1100/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:11:54: Epoch [18/25], Step [1150/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:11:54: Epoch [18/25], Step [1200/1289], Loss: 0.0509
|
||||
Fri, 16 Sep 2022 16:11:55: Epoch [18/25], Step [1250/1289], Loss: 0.0953
|
||||
Fri, 16 Sep 2022 16:11:55: Epoch [19/25], Step [50/1289], Loss: 0.0598
|
||||
Fri, 16 Sep 2022 16:11:55: Epoch [19/25], Step [100/1289], Loss: 0.0837
|
||||
Fri, 16 Sep 2022 16:11:56: Epoch [19/25], Step [150/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 16:11:56: Epoch [19/25], Step [200/1289], Loss: 0.0614
|
||||
Fri, 16 Sep 2022 16:11:56: Epoch [19/25], Step [250/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 16:11:56: Epoch [19/25], Step [300/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:11:57: Epoch [19/25], Step [350/1289], Loss: 0.0322
|
||||
Fri, 16 Sep 2022 16:11:57: Epoch [19/25], Step [400/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:11:57: Epoch [19/25], Step [450/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:11:57: Epoch [19/25], Step [500/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:11:58: Epoch [19/25], Step [550/1289], Loss: 0.0689
|
||||
Fri, 16 Sep 2022 16:11:58: Epoch [19/25], Step [600/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:11:58: Epoch [19/25], Step [650/1289], Loss: 0.0354
|
||||
Fri, 16 Sep 2022 16:11:58: Epoch [19/25], Step [700/1289], Loss: 0.0320
|
||||
Fri, 16 Sep 2022 16:11:59: Epoch [19/25], Step [750/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 16:11:59: Epoch [19/25], Step [800/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 16:11:59: Epoch [19/25], Step [850/1289], Loss: 0.0980
|
||||
Fri, 16 Sep 2022 16:11:59: Epoch [19/25], Step [900/1289], Loss: 0.0322
|
||||
Fri, 16 Sep 2022 16:12:00: Epoch [19/25], Step [950/1289], Loss: 0.0764
|
||||
Fri, 16 Sep 2022 16:12:00: Epoch [19/25], Step [1000/1289], Loss: 0.1045
|
||||
Fri, 16 Sep 2022 16:12:00: Epoch [19/25], Step [1050/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 16:12:00: Epoch [19/25], Step [1100/1289], Loss: 0.0369
|
||||
Fri, 16 Sep 2022 16:12:01: Epoch [19/25], Step [1150/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 16:12:01: Epoch [19/25], Step [1200/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 16:12:01: Epoch [19/25], Step [1250/1289], Loss: 0.0683
|
||||
Fri, 16 Sep 2022 16:12:02: Epoch [20/25], Step [50/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:12:02: Epoch [20/25], Step [100/1289], Loss: 0.0904
|
||||
Fri, 16 Sep 2022 16:12:02: Epoch [20/25], Step [150/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 16:12:02: Epoch [20/25], Step [200/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 16:12:03: Epoch [20/25], Step [250/1289], Loss: 0.0622
|
||||
Fri, 16 Sep 2022 16:12:03: Epoch [20/25], Step [300/1289], Loss: 0.0442
|
||||
Fri, 16 Sep 2022 16:12:03: Epoch [20/25], Step [350/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:12:03: Epoch [20/25], Step [400/1289], Loss: 0.0506
|
||||
Fri, 16 Sep 2022 16:12:04: Epoch [20/25], Step [450/1289], Loss: 0.0894
|
||||
Fri, 16 Sep 2022 16:12:04: Epoch [20/25], Step [500/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:12:04: Epoch [20/25], Step [550/1289], Loss: 0.0070
|
||||
Fri, 16 Sep 2022 16:12:04: Epoch [20/25], Step [600/1289], Loss: 0.0578
|
||||
Fri, 16 Sep 2022 16:12:05: Epoch [20/25], Step [650/1289], Loss: 0.0114
|
||||
Fri, 16 Sep 2022 16:12:05: Epoch [20/25], Step [700/1289], Loss: 0.0050
|
||||
Fri, 16 Sep 2022 16:12:05: Epoch [20/25], Step [750/1289], Loss: 0.0070
|
||||
Fri, 16 Sep 2022 16:12:05: Epoch [20/25], Step [800/1289], Loss: 0.0274
|
||||
Fri, 16 Sep 2022 16:12:06: Epoch [20/25], Step [850/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 16:12:06: Epoch [20/25], Step [900/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 16:12:06: Epoch [20/25], Step [950/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 16:12:06: Epoch [20/25], Step [1000/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:12:07: Epoch [20/25], Step [1050/1289], Loss: 0.0784
|
||||
Fri, 16 Sep 2022 16:12:07: Epoch [20/25], Step [1100/1289], Loss: 0.0509
|
||||
Fri, 16 Sep 2022 16:12:07: Epoch [20/25], Step [1150/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:12:07: Epoch [20/25], Step [1200/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:12:08: Epoch [20/25], Step [1250/1289], Loss: 0.0878
|
||||
Fri, 16 Sep 2022 16:12:08: Epoch [21/25], Step [50/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 16:12:08: Epoch [21/25], Step [100/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 16:12:09: Epoch [21/25], Step [150/1289], Loss: 0.0063
|
||||
Fri, 16 Sep 2022 16:12:09: Epoch [21/25], Step [200/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 16:12:09: Epoch [21/25], Step [250/1289], Loss: 0.0824
|
||||
Fri, 16 Sep 2022 16:12:09: Epoch [21/25], Step [300/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:12:10: Epoch [21/25], Step [350/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:12:10: Epoch [21/25], Step [400/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:12:10: Epoch [21/25], Step [450/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 16:12:10: Epoch [21/25], Step [500/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 16:12:11: Epoch [21/25], Step [550/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:12:11: Epoch [21/25], Step [600/1289], Loss: 0.0730
|
||||
Fri, 16 Sep 2022 16:12:11: Epoch [21/25], Step [650/1289], Loss: 0.0733
|
||||
Fri, 16 Sep 2022 16:12:11: Epoch [21/25], Step [700/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 16:12:12: Epoch [21/25], Step [750/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 16:12:12: Epoch [21/25], Step [800/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:12:12: Epoch [21/25], Step [850/1289], Loss: 0.0733
|
||||
Fri, 16 Sep 2022 16:12:12: Epoch [21/25], Step [900/1289], Loss: 0.0287
|
||||
Fri, 16 Sep 2022 16:12:13: Epoch [21/25], Step [950/1289], Loss: 0.0215
|
||||
Fri, 16 Sep 2022 16:12:13: Epoch [21/25], Step [1000/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:12:13: Epoch [21/25], Step [1050/1289], Loss: 0.0133
|
||||
Fri, 16 Sep 2022 16:12:13: Epoch [21/25], Step [1100/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:12:14: Epoch [21/25], Step [1150/1289], Loss: 0.0092
|
||||
Fri, 16 Sep 2022 16:12:14: Epoch [21/25], Step [1200/1289], Loss: 0.0031
|
||||
Fri, 16 Sep 2022 16:12:14: Epoch [21/25], Step [1250/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:12:14: Epoch [22/25], Step [50/1289], Loss: 0.0547
|
||||
Fri, 16 Sep 2022 16:12:15: Epoch [22/25], Step [100/1289], Loss: 0.0688
|
||||
Fri, 16 Sep 2022 16:12:15: Epoch [22/25], Step [150/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:12:15: Epoch [22/25], Step [200/1289], Loss: 0.0026
|
||||
Fri, 16 Sep 2022 16:12:15: Epoch [22/25], Step [250/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:12:16: Epoch [22/25], Step [300/1289], Loss: 0.0541
|
||||
Fri, 16 Sep 2022 16:12:16: Epoch [22/25], Step [350/1289], Loss: 0.0584
|
||||
Fri, 16 Sep 2022 16:12:16: Epoch [22/25], Step [400/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:12:16: Epoch [22/25], Step [450/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:12:17: Epoch [22/25], Step [500/1289], Loss: 0.0212
|
||||
Fri, 16 Sep 2022 16:12:17: Epoch [22/25], Step [550/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:12:17: Epoch [22/25], Step [600/1289], Loss: 0.0029
|
||||
Fri, 16 Sep 2022 16:12:17: Epoch [22/25], Step [650/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:12:18: Epoch [22/25], Step [700/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:12:18: Epoch [22/25], Step [750/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 16:12:18: Epoch [22/25], Step [800/1289], Loss: 0.0379
|
||||
Fri, 16 Sep 2022 16:12:18: Epoch [22/25], Step [850/1289], Loss: 0.0254
|
||||
Fri, 16 Sep 2022 16:12:19: Epoch [22/25], Step [900/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:12:19: Epoch [22/25], Step [950/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:12:19: Epoch [22/25], Step [1000/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 16:12:19: Epoch [22/25], Step [1050/1289], Loss: 0.0287
|
||||
Fri, 16 Sep 2022 16:12:20: Epoch [22/25], Step [1100/1289], Loss: 0.0084
|
||||
Fri, 16 Sep 2022 16:12:20: Epoch [22/25], Step [1150/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:12:20: Epoch [22/25], Step [1200/1289], Loss: 0.1009
|
||||
Fri, 16 Sep 2022 16:12:20: Epoch [22/25], Step [1250/1289], Loss: 0.0192
|
||||
Fri, 16 Sep 2022 16:12:21: Epoch [23/25], Step [50/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:12:21: Epoch [23/25], Step [100/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:12:21: Epoch [23/25], Step [150/1289], Loss: 0.1011
|
||||
Fri, 16 Sep 2022 16:12:22: Epoch [23/25], Step [200/1289], Loss: 0.0466
|
||||
Fri, 16 Sep 2022 16:12:22: Epoch [23/25], Step [250/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:12:22: Epoch [23/25], Step [300/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 16:12:22: Epoch [23/25], Step [350/1289], Loss: 0.0046
|
||||
Fri, 16 Sep 2022 16:12:23: Epoch [23/25], Step [400/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:12:23: Epoch [23/25], Step [450/1289], Loss: 0.0048
|
||||
Fri, 16 Sep 2022 16:12:23: Epoch [23/25], Step [500/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 16:12:23: Epoch [23/25], Step [550/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:12:24: Epoch [23/25], Step [600/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 16:12:24: Epoch [23/25], Step [650/1289], Loss: 0.0305
|
||||
Fri, 16 Sep 2022 16:12:24: Epoch [23/25], Step [700/1289], Loss: 0.0347
|
||||
Fri, 16 Sep 2022 16:12:24: Epoch [23/25], Step [750/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 16:12:24: Epoch [23/25], Step [800/1289], Loss: 0.0905
|
||||
Fri, 16 Sep 2022 16:12:25: Epoch [23/25], Step [850/1289], Loss: 0.0049
|
||||
Fri, 16 Sep 2022 16:12:25: Epoch [23/25], Step [900/1289], Loss: 0.0873
|
||||
Fri, 16 Sep 2022 16:12:25: Epoch [23/25], Step [950/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:12:26: Epoch [23/25], Step [1000/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:12:26: Epoch [23/25], Step [1050/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:12:26: Epoch [23/25], Step [1100/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:12:26: Epoch [23/25], Step [1150/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:12:27: Epoch [23/25], Step [1200/1289], Loss: 0.0626
|
||||
Fri, 16 Sep 2022 16:12:27: Epoch [23/25], Step [1250/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:12:27: Epoch [24/25], Step [50/1289], Loss: 0.0340
|
||||
Fri, 16 Sep 2022 16:12:28: Epoch [24/25], Step [100/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:12:28: Epoch [24/25], Step [150/1289], Loss: 0.0686
|
||||
Fri, 16 Sep 2022 16:12:28: Epoch [24/25], Step [200/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 16:12:28: Epoch [24/25], Step [250/1289], Loss: 0.0440
|
||||
Fri, 16 Sep 2022 16:12:29: Epoch [24/25], Step [300/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:12:29: Epoch [24/25], Step [350/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 16:12:29: Epoch [24/25], Step [400/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 16:12:29: Epoch [24/25], Step [450/1289], Loss: 0.0751
|
||||
Fri, 16 Sep 2022 16:12:30: Epoch [24/25], Step [500/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 16:12:30: Epoch [24/25], Step [550/1289], Loss: 0.0164
|
||||
Fri, 16 Sep 2022 16:12:30: Epoch [24/25], Step [600/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 16:12:31: Epoch [24/25], Step [650/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 16:12:31: Epoch [24/25], Step [700/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 16:12:31: Epoch [24/25], Step [750/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 16:12:31: Epoch [24/25], Step [800/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:12:32: Epoch [24/25], Step [850/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 16:12:32: Epoch [24/25], Step [900/1289], Loss: 0.0170
|
||||
Fri, 16 Sep 2022 16:12:32: Epoch [24/25], Step [950/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 16:12:32: Epoch [24/25], Step [1000/1289], Loss: 0.0629
|
||||
Fri, 16 Sep 2022 16:12:33: Epoch [24/25], Step [1050/1289], Loss: 0.0736
|
||||
Fri, 16 Sep 2022 16:12:33: Epoch [24/25], Step [1100/1289], Loss: 0.1013
|
||||
Fri, 16 Sep 2022 16:12:33: Epoch [24/25], Step [1150/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:12:33: Epoch [24/25], Step [1200/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:12:34: Epoch [24/25], Step [1250/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:12:34: Epoch [25/25], Step [50/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:12:34: Epoch [25/25], Step [100/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:12:35: Epoch [25/25], Step [150/1289], Loss: 0.0044
|
||||
Fri, 16 Sep 2022 16:12:35: Epoch [25/25], Step [200/1289], Loss: 0.0429
|
||||
Fri, 16 Sep 2022 16:12:35: Epoch [25/25], Step [250/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 16:12:35: Epoch [25/25], Step [300/1289], Loss: 0.0060
|
||||
Fri, 16 Sep 2022 16:12:36: Epoch [25/25], Step [350/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:12:36: Epoch [25/25], Step [400/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 16:12:36: Epoch [25/25], Step [450/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:12:36: Epoch [25/25], Step [500/1289], Loss: 0.0188
|
||||
Fri, 16 Sep 2022 16:12:37: Epoch [25/25], Step [550/1289], Loss: 0.0054
|
||||
Fri, 16 Sep 2022 16:12:37: Epoch [25/25], Step [600/1289], Loss: 0.0446
|
||||
Fri, 16 Sep 2022 16:12:37: Epoch [25/25], Step [650/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:12:38: Epoch [25/25], Step [700/1289], Loss: 0.0091
|
||||
Fri, 16 Sep 2022 16:12:38: Epoch [25/25], Step [750/1289], Loss: 0.0214
|
||||
Fri, 16 Sep 2022 16:12:38: Epoch [25/25], Step [800/1289], Loss: 0.0074
|
||||
Fri, 16 Sep 2022 16:12:38: Epoch [25/25], Step [850/1289], Loss: 0.1308
|
||||
Fri, 16 Sep 2022 16:12:39: Epoch [25/25], Step [900/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:12:39: Epoch [25/25], Step [950/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 16:12:39: Epoch [25/25], Step [1000/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:12:40: Epoch [25/25], Step [1050/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:12:40: Epoch [25/25], Step [1100/1289], Loss: 0.0559
|
||||
Fri, 16 Sep 2022 16:12:40: Epoch [25/25], Step [1150/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 16:12:40: Epoch [25/25], Step [1200/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:12:41: Epoch [25/25], Step [1250/1289], Loss: 0.0254
|
||||
Fri, 16 Sep 2022 16:12:41: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:12:42: f1 :0.9625654702612384
|
||||
Fri, 16 Sep 2022 16:12:42:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9413 0.9900 0.9650 16239
|
||||
1 0.9892 0.9373 0.9626 15980
|
||||
|
||||
accuracy 0.9638 32219
|
||||
macro avg 0.9653 0.9636 0.9638 32219
|
||||
weighted avg 0.9651 0.9638 0.9638 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:12:42:
|
||||
[[16076 163]
|
||||
[ 1002 14978]]
|
||||
Fri, 16 Sep 2022 16:12:42: high_num,high_true,high_false:5697,5261,436
|
||||
Fri, 16 Sep 2022 16:12:42: low_num,low_true,low_false:10283,9717,566
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 15:52:00: -------------
|
||||
Fri, 16 Sep 2022 15:52:00: layers:(gru,fully connnected layer)-(3,1)
|
||||
Fri, 16 Sep 2022 15:52:00: cuda is_available:True
|
||||
Fri, 16 Sep 2022 15:52:00: model parameters - num_layers:3, sequence_len:40
|
||||
Fri, 16 Sep 2022 15:52:00: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 15:52:00: reading csv file
|
||||
Fri, 16 Sep 2022 15:52:01: csv file alread loaded
|
||||
Fri, 16 Sep 2022 15:52:12: procols num: 31
|
||||
Fri, 16 Sep 2022 15:52:12: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 15:53:33: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 15:53:35: loader already prepared
|
||||
Fri, 16 Sep 2022 15:53:35: loader中(0:normal,1:high,2:low):Counter({0: 15984, 2: 10650, 1: 5585})
|
||||
Fri, 16 Sep 2022 15:53:36: start training
|
||||
Fri, 16 Sep 2022 15:53:37: Epoch [1/25], Step [50/1289], Loss: 0.5438
|
||||
Fri, 16 Sep 2022 15:53:37: Epoch [1/25], Step [100/1289], Loss: 0.5391
|
||||
Fri, 16 Sep 2022 15:53:37: Epoch [1/25], Step [150/1289], Loss: 0.3188
|
||||
Fri, 16 Sep 2022 15:53:38: Epoch [1/25], Step [200/1289], Loss: 0.3668
|
||||
Fri, 16 Sep 2022 15:53:38: Epoch [1/25], Step [250/1289], Loss: 0.3279
|
||||
Fri, 16 Sep 2022 15:53:38: Epoch [1/25], Step [300/1289], Loss: 0.3466
|
||||
Fri, 16 Sep 2022 15:53:39: Epoch [1/25], Step [350/1289], Loss: 0.2209
|
||||
Fri, 16 Sep 2022 15:53:39: Epoch [1/25], Step [400/1289], Loss: 0.2197
|
||||
Fri, 16 Sep 2022 15:53:39: Epoch [1/25], Step [450/1289], Loss: 0.5674
|
||||
Fri, 16 Sep 2022 15:53:40: Epoch [1/25], Step [500/1289], Loss: 0.2305
|
||||
Fri, 16 Sep 2022 15:53:40: Epoch [1/25], Step [550/1289], Loss: 0.2206
|
||||
Fri, 16 Sep 2022 15:53:40: Epoch [1/25], Step [600/1289], Loss: 0.2969
|
||||
Fri, 16 Sep 2022 15:53:41: Epoch [1/25], Step [650/1289], Loss: 0.1371
|
||||
Fri, 16 Sep 2022 15:53:41: Epoch [1/25], Step [700/1289], Loss: 0.1774
|
||||
Fri, 16 Sep 2022 15:53:41: Epoch [1/25], Step [750/1289], Loss: 0.1811
|
||||
Fri, 16 Sep 2022 15:53:42: Epoch [1/25], Step [800/1289], Loss: 0.1122
|
||||
Fri, 16 Sep 2022 15:53:42: Epoch [1/25], Step [850/1289], Loss: 0.1592
|
||||
Fri, 16 Sep 2022 15:53:42: Epoch [1/25], Step [900/1289], Loss: 0.2080
|
||||
Fri, 16 Sep 2022 15:53:42: Epoch [1/25], Step [950/1289], Loss: 0.2468
|
||||
Fri, 16 Sep 2022 15:53:43: Epoch [1/25], Step [1000/1289], Loss: 0.1718
|
||||
Fri, 16 Sep 2022 15:53:43: Epoch [1/25], Step [1050/1289], Loss: 0.1535
|
||||
Fri, 16 Sep 2022 15:53:43: Epoch [1/25], Step [1100/1289], Loss: 0.2181
|
||||
Fri, 16 Sep 2022 15:53:44: Epoch [1/25], Step [1150/1289], Loss: 0.1701
|
||||
Fri, 16 Sep 2022 15:53:44: Epoch [1/25], Step [1200/1289], Loss: 0.2171
|
||||
Fri, 16 Sep 2022 15:53:44: Epoch [1/25], Step [1250/1289], Loss: 0.1658
|
||||
Fri, 16 Sep 2022 15:53:45: Epoch [2/25], Step [50/1289], Loss: 0.1237
|
||||
Fri, 16 Sep 2022 15:53:45: Epoch [2/25], Step [100/1289], Loss: 0.0777
|
||||
Fri, 16 Sep 2022 15:53:46: Epoch [2/25], Step [150/1289], Loss: 0.0796
|
||||
Fri, 16 Sep 2022 15:53:46: Epoch [2/25], Step [200/1289], Loss: 0.1089
|
||||
Fri, 16 Sep 2022 15:53:46: Epoch [2/25], Step [250/1289], Loss: 0.0658
|
||||
Fri, 16 Sep 2022 15:53:47: Epoch [2/25], Step [300/1289], Loss: 0.1403
|
||||
Fri, 16 Sep 2022 15:53:47: Epoch [2/25], Step [350/1289], Loss: 0.2070
|
||||
Fri, 16 Sep 2022 15:53:47: Epoch [2/25], Step [400/1289], Loss: 0.0806
|
||||
Fri, 16 Sep 2022 15:53:48: Epoch [2/25], Step [450/1289], Loss: 0.0954
|
||||
Fri, 16 Sep 2022 15:53:48: Epoch [2/25], Step [500/1289], Loss: 0.1467
|
||||
Fri, 16 Sep 2022 15:53:48: Epoch [2/25], Step [550/1289], Loss: 0.1613
|
||||
Fri, 16 Sep 2022 15:53:49: Epoch [2/25], Step [600/1289], Loss: 0.1441
|
||||
Fri, 16 Sep 2022 15:53:49: Epoch [2/25], Step [650/1289], Loss: 0.1315
|
||||
Fri, 16 Sep 2022 15:53:49: Epoch [2/25], Step [700/1289], Loss: 0.1861
|
||||
Fri, 16 Sep 2022 15:53:49: Epoch [2/25], Step [750/1289], Loss: 0.0617
|
||||
Fri, 16 Sep 2022 15:53:50: Epoch [2/25], Step [800/1289], Loss: 0.1834
|
||||
Fri, 16 Sep 2022 15:53:50: Epoch [2/25], Step [850/1289], Loss: 0.1292
|
||||
Fri, 16 Sep 2022 15:53:50: Epoch [2/25], Step [900/1289], Loss: 0.1091
|
||||
Fri, 16 Sep 2022 15:53:51: Epoch [2/25], Step [950/1289], Loss: 0.1884
|
||||
Fri, 16 Sep 2022 15:53:51: Epoch [2/25], Step [1000/1289], Loss: 0.1190
|
||||
Fri, 16 Sep 2022 15:53:51: Epoch [2/25], Step [1050/1289], Loss: 0.1046
|
||||
Fri, 16 Sep 2022 15:53:52: Epoch [2/25], Step [1100/1289], Loss: 0.1788
|
||||
Fri, 16 Sep 2022 15:53:52: Epoch [2/25], Step [1150/1289], Loss: 0.0642
|
||||
Fri, 16 Sep 2022 15:53:52: Epoch [2/25], Step [1200/1289], Loss: 0.0947
|
||||
Fri, 16 Sep 2022 15:53:53: Epoch [2/25], Step [1250/1289], Loss: 0.1006
|
||||
Fri, 16 Sep 2022 15:53:53: Epoch [3/25], Step [50/1289], Loss: 0.1245
|
||||
Fri, 16 Sep 2022 15:53:54: Epoch [3/25], Step [100/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 15:53:54: Epoch [3/25], Step [150/1289], Loss: 0.0811
|
||||
Fri, 16 Sep 2022 15:53:54: Epoch [3/25], Step [200/1289], Loss: 0.1893
|
||||
Fri, 16 Sep 2022 15:53:55: Epoch [3/25], Step [250/1289], Loss: 0.0588
|
||||
Fri, 16 Sep 2022 15:53:55: Epoch [3/25], Step [300/1289], Loss: 0.1455
|
||||
Fri, 16 Sep 2022 15:53:55: Epoch [3/25], Step [350/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 15:53:56: Epoch [3/25], Step [400/1289], Loss: 0.1004
|
||||
Fri, 16 Sep 2022 15:53:56: Epoch [3/25], Step [450/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 15:53:56: Epoch [3/25], Step [500/1289], Loss: 0.0879
|
||||
Fri, 16 Sep 2022 15:53:56: Epoch [3/25], Step [550/1289], Loss: 0.0343
|
||||
Fri, 16 Sep 2022 15:53:57: Epoch [3/25], Step [600/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 15:53:57: Epoch [3/25], Step [650/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 15:53:57: Epoch [3/25], Step [700/1289], Loss: 0.0891
|
||||
Fri, 16 Sep 2022 15:53:58: Epoch [3/25], Step [750/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 15:53:58: Epoch [3/25], Step [800/1289], Loss: 0.0525
|
||||
Fri, 16 Sep 2022 15:53:58: Epoch [3/25], Step [850/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 15:53:59: Epoch [3/25], Step [900/1289], Loss: 0.0967
|
||||
Fri, 16 Sep 2022 15:53:59: Epoch [3/25], Step [950/1289], Loss: 0.1001
|
||||
Fri, 16 Sep 2022 15:53:59: Epoch [3/25], Step [1000/1289], Loss: 0.1114
|
||||
Fri, 16 Sep 2022 15:54:00: Epoch [3/25], Step [1050/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 15:54:00: Epoch [3/25], Step [1100/1289], Loss: 0.0931
|
||||
Fri, 16 Sep 2022 15:54:00: Epoch [3/25], Step [1150/1289], Loss: 0.1527
|
||||
Fri, 16 Sep 2022 15:54:01: Epoch [3/25], Step [1200/1289], Loss: 0.0384
|
||||
Fri, 16 Sep 2022 15:54:01: Epoch [3/25], Step [1250/1289], Loss: 0.1115
|
||||
Fri, 16 Sep 2022 15:54:02: Epoch [4/25], Step [50/1289], Loss: 0.1317
|
||||
Fri, 16 Sep 2022 15:54:02: Epoch [4/25], Step [100/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 15:54:02: Epoch [4/25], Step [150/1289], Loss: 0.0374
|
||||
Fri, 16 Sep 2022 15:54:03: Epoch [4/25], Step [200/1289], Loss: 0.0610
|
||||
Fri, 16 Sep 2022 15:54:03: Epoch [4/25], Step [250/1289], Loss: 0.0893
|
||||
Fri, 16 Sep 2022 15:54:03: Epoch [4/25], Step [300/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 15:54:04: Epoch [4/25], Step [350/1289], Loss: 0.0804
|
||||
Fri, 16 Sep 2022 15:54:04: Epoch [4/25], Step [400/1289], Loss: 0.1656
|
||||
Fri, 16 Sep 2022 15:54:04: Epoch [4/25], Step [450/1289], Loss: 0.0576
|
||||
Fri, 16 Sep 2022 15:54:05: Epoch [4/25], Step [500/1289], Loss: 0.1058
|
||||
Fri, 16 Sep 2022 15:54:05: Epoch [4/25], Step [550/1289], Loss: 0.0749
|
||||
Fri, 16 Sep 2022 15:54:05: Epoch [4/25], Step [600/1289], Loss: 0.0932
|
||||
Fri, 16 Sep 2022 15:54:05: Epoch [4/25], Step [650/1289], Loss: 0.1553
|
||||
Fri, 16 Sep 2022 15:54:06: Epoch [4/25], Step [700/1289], Loss: 0.0981
|
||||
Fri, 16 Sep 2022 15:54:06: Epoch [4/25], Step [750/1289], Loss: 0.1848
|
||||
Fri, 16 Sep 2022 15:54:06: Epoch [4/25], Step [800/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 15:54:07: Epoch [4/25], Step [850/1289], Loss: 0.0537
|
||||
Fri, 16 Sep 2022 15:54:07: Epoch [4/25], Step [900/1289], Loss: 0.1101
|
||||
Fri, 16 Sep 2022 15:54:07: Epoch [4/25], Step [950/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 15:54:08: Epoch [4/25], Step [1000/1289], Loss: 0.0400
|
||||
Fri, 16 Sep 2022 15:54:08: Epoch [4/25], Step [1050/1289], Loss: 0.0931
|
||||
Fri, 16 Sep 2022 15:54:08: Epoch [4/25], Step [1100/1289], Loss: 0.0780
|
||||
Fri, 16 Sep 2022 15:54:09: Epoch [4/25], Step [1150/1289], Loss: 0.0791
|
||||
Fri, 16 Sep 2022 15:54:09: Epoch [4/25], Step [1200/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 15:54:09: Epoch [4/25], Step [1250/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 15:54:10: Epoch [5/25], Step [50/1289], Loss: 0.0543
|
||||
Fri, 16 Sep 2022 15:54:10: Epoch [5/25], Step [100/1289], Loss: 0.1286
|
||||
Fri, 16 Sep 2022 15:54:11: Epoch [5/25], Step [150/1289], Loss: 0.1060
|
||||
Fri, 16 Sep 2022 15:54:11: Epoch [5/25], Step [200/1289], Loss: 0.1505
|
||||
Fri, 16 Sep 2022 15:54:11: Epoch [5/25], Step [250/1289], Loss: 0.0785
|
||||
Fri, 16 Sep 2022 15:54:11: Epoch [5/25], Step [300/1289], Loss: 0.1247
|
||||
Fri, 16 Sep 2022 15:54:12: Epoch [5/25], Step [350/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 15:54:12: Epoch [5/25], Step [400/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:54:12: Epoch [5/25], Step [450/1289], Loss: 0.0729
|
||||
Fri, 16 Sep 2022 15:54:13: Epoch [5/25], Step [500/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 15:54:13: Epoch [5/25], Step [550/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:54:13: Epoch [5/25], Step [600/1289], Loss: 0.1622
|
||||
Fri, 16 Sep 2022 15:54:14: Epoch [5/25], Step [650/1289], Loss: 0.0895
|
||||
Fri, 16 Sep 2022 15:54:14: Epoch [5/25], Step [700/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 15:54:14: Epoch [5/25], Step [750/1289], Loss: 0.0488
|
||||
Fri, 16 Sep 2022 15:54:15: Epoch [5/25], Step [800/1289], Loss: 0.0505
|
||||
Fri, 16 Sep 2022 15:54:15: Epoch [5/25], Step [850/1289], Loss: 0.0483
|
||||
Fri, 16 Sep 2022 15:54:15: Epoch [5/25], Step [900/1289], Loss: 0.0515
|
||||
Fri, 16 Sep 2022 15:54:16: Epoch [5/25], Step [950/1289], Loss: 0.0827
|
||||
Fri, 16 Sep 2022 15:54:16: Epoch [5/25], Step [1000/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 15:54:16: Epoch [5/25], Step [1050/1289], Loss: 0.0626
|
||||
Fri, 16 Sep 2022 15:54:17: Epoch [5/25], Step [1100/1289], Loss: 0.0739
|
||||
Fri, 16 Sep 2022 15:54:17: Epoch [5/25], Step [1150/1289], Loss: 0.1609
|
||||
Fri, 16 Sep 2022 15:54:17: Epoch [5/25], Step [1200/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 15:54:18: Epoch [5/25], Step [1250/1289], Loss: 0.1270
|
||||
Fri, 16 Sep 2022 15:54:18: Epoch [6/25], Step [50/1289], Loss: 0.0691
|
||||
Fri, 16 Sep 2022 15:54:18: Epoch [6/25], Step [100/1289], Loss: 0.0772
|
||||
Fri, 16 Sep 2022 15:54:19: Epoch [6/25], Step [150/1289], Loss: 0.1254
|
||||
Fri, 16 Sep 2022 15:54:19: Epoch [6/25], Step [200/1289], Loss: 0.0376
|
||||
Fri, 16 Sep 2022 15:54:19: Epoch [6/25], Step [250/1289], Loss: 0.0586
|
||||
Fri, 16 Sep 2022 15:54:20: Epoch [6/25], Step [300/1289], Loss: 0.0705
|
||||
Fri, 16 Sep 2022 15:54:20: Epoch [6/25], Step [350/1289], Loss: 0.0515
|
||||
Fri, 16 Sep 2022 15:54:20: Epoch [6/25], Step [400/1289], Loss: 0.0663
|
||||
Fri, 16 Sep 2022 15:54:21: Epoch [6/25], Step [450/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 15:54:21: Epoch [6/25], Step [500/1289], Loss: 0.0795
|
||||
Fri, 16 Sep 2022 15:54:21: Epoch [6/25], Step [550/1289], Loss: 0.0999
|
||||
Fri, 16 Sep 2022 15:54:22: Epoch [6/25], Step [600/1289], Loss: 0.0719
|
||||
Fri, 16 Sep 2022 15:54:22: Epoch [6/25], Step [650/1289], Loss: 0.1275
|
||||
Fri, 16 Sep 2022 15:54:22: Epoch [6/25], Step [700/1289], Loss: 0.0670
|
||||
Fri, 16 Sep 2022 15:54:23: Epoch [6/25], Step [750/1289], Loss: 0.0382
|
||||
Fri, 16 Sep 2022 15:54:23: Epoch [6/25], Step [800/1289], Loss: 0.0769
|
||||
Fri, 16 Sep 2022 15:54:23: Epoch [6/25], Step [850/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 15:54:24: Epoch [6/25], Step [900/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 15:54:24: Epoch [6/25], Step [950/1289], Loss: 0.0245
|
||||
Fri, 16 Sep 2022 15:54:24: Epoch [6/25], Step [1000/1289], Loss: 0.0592
|
||||
Fri, 16 Sep 2022 15:54:25: Epoch [6/25], Step [1050/1289], Loss: 0.0930
|
||||
Fri, 16 Sep 2022 15:54:25: Epoch [6/25], Step [1100/1289], Loss: 0.0480
|
||||
Fri, 16 Sep 2022 15:54:25: Epoch [6/25], Step [1150/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 15:54:25: Epoch [6/25], Step [1200/1289], Loss: 0.0699
|
||||
Fri, 16 Sep 2022 15:54:26: Epoch [6/25], Step [1250/1289], Loss: 0.1077
|
||||
Fri, 16 Sep 2022 15:54:26: Epoch [7/25], Step [50/1289], Loss: 0.0855
|
||||
Fri, 16 Sep 2022 15:54:27: Epoch [7/25], Step [100/1289], Loss: 0.1610
|
||||
Fri, 16 Sep 2022 15:54:27: Epoch [7/25], Step [150/1289], Loss: 0.0724
|
||||
Fri, 16 Sep 2022 15:54:27: Epoch [7/25], Step [200/1289], Loss: 0.0653
|
||||
Fri, 16 Sep 2022 15:54:28: Epoch [7/25], Step [250/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 15:54:28: Epoch [7/25], Step [300/1289], Loss: 0.0602
|
||||
Fri, 16 Sep 2022 15:54:28: Epoch [7/25], Step [350/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 15:54:29: Epoch [7/25], Step [400/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 15:54:29: Epoch [7/25], Step [450/1289], Loss: 0.0749
|
||||
Fri, 16 Sep 2022 15:54:29: Epoch [7/25], Step [500/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 15:54:30: Epoch [7/25], Step [550/1289], Loss: 0.0994
|
||||
Fri, 16 Sep 2022 15:54:30: Epoch [7/25], Step [600/1289], Loss: 0.0662
|
||||
Fri, 16 Sep 2022 15:54:30: Epoch [7/25], Step [650/1289], Loss: 0.1602
|
||||
Fri, 16 Sep 2022 15:54:31: Epoch [7/25], Step [700/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 15:54:31: Epoch [7/25], Step [750/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 15:54:31: Epoch [7/25], Step [800/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 15:54:32: Epoch [7/25], Step [850/1289], Loss: 0.1513
|
||||
Fri, 16 Sep 2022 15:54:32: Epoch [7/25], Step [900/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 15:54:32: Epoch [7/25], Step [950/1289], Loss: 0.1276
|
||||
Fri, 16 Sep 2022 15:54:32: Epoch [7/25], Step [1000/1289], Loss: 0.1674
|
||||
Fri, 16 Sep 2022 15:54:33: Epoch [7/25], Step [1050/1289], Loss: 0.0848
|
||||
Fri, 16 Sep 2022 15:54:33: Epoch [7/25], Step [1100/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 15:54:33: Epoch [7/25], Step [1150/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 15:54:34: Epoch [7/25], Step [1200/1289], Loss: 0.0216
|
||||
Fri, 16 Sep 2022 15:54:34: Epoch [7/25], Step [1250/1289], Loss: 0.0887
|
||||
Fri, 16 Sep 2022 15:54:35: Epoch [8/25], Step [50/1289], Loss: 0.1054
|
||||
Fri, 16 Sep 2022 15:54:35: Epoch [8/25], Step [100/1289], Loss: 0.0679
|
||||
Fri, 16 Sep 2022 15:54:35: Epoch [8/25], Step [150/1289], Loss: 0.1170
|
||||
Fri, 16 Sep 2022 15:54:36: Epoch [8/25], Step [200/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 15:54:36: Epoch [8/25], Step [250/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:54:36: Epoch [8/25], Step [300/1289], Loss: 0.0886
|
||||
Fri, 16 Sep 2022 15:54:37: Epoch [8/25], Step [350/1289], Loss: 0.0932
|
||||
Fri, 16 Sep 2022 15:54:37: Epoch [8/25], Step [400/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 15:54:37: Epoch [8/25], Step [450/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 15:54:38: Epoch [8/25], Step [500/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 15:54:38: Epoch [8/25], Step [550/1289], Loss: 0.0788
|
||||
Fri, 16 Sep 2022 15:54:38: Epoch [8/25], Step [600/1289], Loss: 0.1034
|
||||
Fri, 16 Sep 2022 15:54:38: Epoch [8/25], Step [650/1289], Loss: 0.0895
|
||||
Fri, 16 Sep 2022 15:54:39: Epoch [8/25], Step [700/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 15:54:39: Epoch [8/25], Step [750/1289], Loss: 0.1403
|
||||
Fri, 16 Sep 2022 15:54:39: Epoch [8/25], Step [800/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 15:54:40: Epoch [8/25], Step [850/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 15:54:40: Epoch [8/25], Step [900/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 15:54:40: Epoch [8/25], Step [950/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 15:54:41: Epoch [8/25], Step [1000/1289], Loss: 0.0091
|
||||
Fri, 16 Sep 2022 15:54:41: Epoch [8/25], Step [1050/1289], Loss: 0.0956
|
||||
Fri, 16 Sep 2022 15:54:41: Epoch [8/25], Step [1100/1289], Loss: 0.0535
|
||||
Fri, 16 Sep 2022 15:54:42: Epoch [8/25], Step [1150/1289], Loss: 0.0535
|
||||
Fri, 16 Sep 2022 15:54:42: Epoch [8/25], Step [1200/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 15:54:42: Epoch [8/25], Step [1250/1289], Loss: 0.1285
|
||||
Fri, 16 Sep 2022 15:54:43: Epoch [9/25], Step [50/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 15:54:43: Epoch [9/25], Step [100/1289], Loss: 0.0741
|
||||
Fri, 16 Sep 2022 15:54:44: Epoch [9/25], Step [150/1289], Loss: 0.0896
|
||||
Fri, 16 Sep 2022 15:54:44: Epoch [9/25], Step [200/1289], Loss: 0.1018
|
||||
Fri, 16 Sep 2022 15:54:44: Epoch [9/25], Step [250/1289], Loss: 0.0490
|
||||
Fri, 16 Sep 2022 15:54:45: Epoch [9/25], Step [300/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 15:54:45: Epoch [9/25], Step [350/1289], Loss: 0.0311
|
||||
Fri, 16 Sep 2022 15:54:45: Epoch [9/25], Step [400/1289], Loss: 0.0499
|
||||
Fri, 16 Sep 2022 15:54:45: Epoch [9/25], Step [450/1289], Loss: 0.1138
|
||||
Fri, 16 Sep 2022 15:54:46: Epoch [9/25], Step [500/1289], Loss: 0.0820
|
||||
Fri, 16 Sep 2022 15:54:46: Epoch [9/25], Step [550/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 15:54:46: Epoch [9/25], Step [600/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:54:47: Epoch [9/25], Step [650/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 15:54:47: Epoch [9/25], Step [700/1289], Loss: 0.0685
|
||||
Fri, 16 Sep 2022 15:54:47: Epoch [9/25], Step [750/1289], Loss: 0.0871
|
||||
Fri, 16 Sep 2022 15:54:48: Epoch [9/25], Step [800/1289], Loss: 0.0094
|
||||
Fri, 16 Sep 2022 15:54:48: Epoch [9/25], Step [850/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 15:54:48: Epoch [9/25], Step [900/1289], Loss: 0.0232
|
||||
Fri, 16 Sep 2022 15:54:49: Epoch [9/25], Step [950/1289], Loss: 0.0717
|
||||
Fri, 16 Sep 2022 15:54:49: Epoch [9/25], Step [1000/1289], Loss: 0.1593
|
||||
Fri, 16 Sep 2022 15:54:49: Epoch [9/25], Step [1050/1289], Loss: 0.0344
|
||||
Fri, 16 Sep 2022 15:54:50: Epoch [9/25], Step [1100/1289], Loss: 0.1039
|
||||
Fri, 16 Sep 2022 15:54:50: Epoch [9/25], Step [1150/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 15:54:50: Epoch [9/25], Step [1200/1289], Loss: 0.0273
|
||||
Fri, 16 Sep 2022 15:54:51: Epoch [9/25], Step [1250/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 15:54:51: Epoch [10/25], Step [50/1289], Loss: 0.0627
|
||||
Fri, 16 Sep 2022 15:54:52: Epoch [10/25], Step [100/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 15:54:52: Epoch [10/25], Step [150/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:54:52: Epoch [10/25], Step [200/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 15:54:52: Epoch [10/25], Step [250/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 15:54:53: Epoch [10/25], Step [300/1289], Loss: 0.0862
|
||||
Fri, 16 Sep 2022 15:54:53: Epoch [10/25], Step [350/1289], Loss: 0.0919
|
||||
Fri, 16 Sep 2022 15:54:53: Epoch [10/25], Step [400/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 15:54:54: Epoch [10/25], Step [450/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 15:54:54: Epoch [10/25], Step [500/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 15:54:54: Epoch [10/25], Step [550/1289], Loss: 0.1032
|
||||
Fri, 16 Sep 2022 15:54:55: Epoch [10/25], Step [600/1289], Loss: 0.0513
|
||||
Fri, 16 Sep 2022 15:54:55: Epoch [10/25], Step [650/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 15:54:55: Epoch [10/25], Step [700/1289], Loss: 0.0153
|
||||
Fri, 16 Sep 2022 15:54:56: Epoch [10/25], Step [750/1289], Loss: 0.0273
|
||||
Fri, 16 Sep 2022 15:54:56: Epoch [10/25], Step [800/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 15:54:56: Epoch [10/25], Step [850/1289], Loss: 0.0627
|
||||
Fri, 16 Sep 2022 15:54:57: Epoch [10/25], Step [900/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 15:54:57: Epoch [10/25], Step [950/1289], Loss: 0.0782
|
||||
Fri, 16 Sep 2022 15:54:57: Epoch [10/25], Step [1000/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 15:54:58: Epoch [10/25], Step [1050/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 15:54:58: Epoch [10/25], Step [1100/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 15:54:58: Epoch [10/25], Step [1150/1289], Loss: 0.0664
|
||||
Fri, 16 Sep 2022 15:54:59: Epoch [10/25], Step [1200/1289], Loss: 0.0556
|
||||
Fri, 16 Sep 2022 15:54:59: Epoch [10/25], Step [1250/1289], Loss: 0.1034
|
||||
Fri, 16 Sep 2022 15:54:59: Epoch [11/25], Step [50/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 15:55:00: Epoch [11/25], Step [100/1289], Loss: 0.0855
|
||||
Fri, 16 Sep 2022 15:55:00: Epoch [11/25], Step [150/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 15:55:01: Epoch [11/25], Step [200/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 15:55:01: Epoch [11/25], Step [250/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 15:55:01: Epoch [11/25], Step [300/1289], Loss: 0.0124
|
||||
Fri, 16 Sep 2022 15:55:02: Epoch [11/25], Step [350/1289], Loss: 0.1939
|
||||
Fri, 16 Sep 2022 15:55:02: Epoch [11/25], Step [400/1289], Loss: 0.0705
|
||||
Fri, 16 Sep 2022 15:55:02: Epoch [11/25], Step [450/1289], Loss: 0.0348
|
||||
Fri, 16 Sep 2022 15:55:03: Epoch [11/25], Step [500/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 15:55:03: Epoch [11/25], Step [550/1289], Loss: 0.0345
|
||||
Fri, 16 Sep 2022 15:55:03: Epoch [11/25], Step [600/1289], Loss: 0.0082
|
||||
Fri, 16 Sep 2022 15:55:03: Epoch [11/25], Step [650/1289], Loss: 0.0464
|
||||
Fri, 16 Sep 2022 15:55:04: Epoch [11/25], Step [700/1289], Loss: 0.0744
|
||||
Fri, 16 Sep 2022 15:55:04: Epoch [11/25], Step [750/1289], Loss: 0.0454
|
||||
Fri, 16 Sep 2022 15:55:04: Epoch [11/25], Step [800/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 15:55:05: Epoch [11/25], Step [850/1289], Loss: 0.0153
|
||||
Fri, 16 Sep 2022 15:55:05: Epoch [11/25], Step [900/1289], Loss: 0.0483
|
||||
Fri, 16 Sep 2022 15:55:05: Epoch [11/25], Step [950/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 15:55:06: Epoch [11/25], Step [1000/1289], Loss: 0.0413
|
||||
Fri, 16 Sep 2022 15:55:06: Epoch [11/25], Step [1050/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 15:55:06: Epoch [11/25], Step [1100/1289], Loss: 0.0222
|
||||
Fri, 16 Sep 2022 15:55:07: Epoch [11/25], Step [1150/1289], Loss: 0.0133
|
||||
Fri, 16 Sep 2022 15:55:07: Epoch [11/25], Step [1200/1289], Loss: 0.0105
|
||||
Fri, 16 Sep 2022 15:55:07: Epoch [11/25], Step [1250/1289], Loss: 0.0251
|
||||
Fri, 16 Sep 2022 15:55:08: Epoch [12/25], Step [50/1289], Loss: 0.0820
|
||||
Fri, 16 Sep 2022 15:55:08: Epoch [12/25], Step [100/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 15:55:09: Epoch [12/25], Step [150/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 15:55:09: Epoch [12/25], Step [200/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 15:55:09: Epoch [12/25], Step [250/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 15:55:09: Epoch [12/25], Step [300/1289], Loss: 0.0565
|
||||
Fri, 16 Sep 2022 15:55:10: Epoch [12/25], Step [350/1289], Loss: 0.0671
|
||||
Fri, 16 Sep 2022 15:55:10: Epoch [12/25], Step [400/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 15:55:10: Epoch [12/25], Step [450/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 15:55:11: Epoch [12/25], Step [500/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 15:55:11: Epoch [12/25], Step [550/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 15:55:11: Epoch [12/25], Step [600/1289], Loss: 0.1331
|
||||
Fri, 16 Sep 2022 15:55:12: Epoch [12/25], Step [650/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 15:55:12: Epoch [12/25], Step [700/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 15:55:12: Epoch [12/25], Step [750/1289], Loss: 0.0347
|
||||
Fri, 16 Sep 2022 15:55:13: Epoch [12/25], Step [800/1289], Loss: 0.0582
|
||||
Fri, 16 Sep 2022 15:55:13: Epoch [12/25], Step [850/1289], Loss: 0.0485
|
||||
Fri, 16 Sep 2022 15:55:13: Epoch [12/25], Step [900/1289], Loss: 0.0713
|
||||
Fri, 16 Sep 2022 15:55:14: Epoch [12/25], Step [950/1289], Loss: 0.0954
|
||||
Fri, 16 Sep 2022 15:55:14: Epoch [12/25], Step [1000/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:55:14: Epoch [12/25], Step [1050/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 15:55:15: Epoch [12/25], Step [1100/1289], Loss: 0.0634
|
||||
Fri, 16 Sep 2022 15:55:15: Epoch [12/25], Step [1150/1289], Loss: 0.0341
|
||||
Fri, 16 Sep 2022 15:55:15: Epoch [12/25], Step [1200/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 15:55:16: Epoch [12/25], Step [1250/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 15:55:16: Epoch [13/25], Step [50/1289], Loss: 0.0268
|
||||
Fri, 16 Sep 2022 15:55:16: Epoch [13/25], Step [100/1289], Loss: 0.0747
|
||||
Fri, 16 Sep 2022 15:55:17: Epoch [13/25], Step [150/1289], Loss: 0.0924
|
||||
Fri, 16 Sep 2022 15:55:17: Epoch [13/25], Step [200/1289], Loss: 0.0794
|
||||
Fri, 16 Sep 2022 15:55:17: Epoch [13/25], Step [250/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 15:55:18: Epoch [13/25], Step [300/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:55:18: Epoch [13/25], Step [350/1289], Loss: 0.0823
|
||||
Fri, 16 Sep 2022 15:55:18: Epoch [13/25], Step [400/1289], Loss: 0.0345
|
||||
Fri, 16 Sep 2022 15:55:19: Epoch [13/25], Step [450/1289], Loss: 0.0249
|
||||
Fri, 16 Sep 2022 15:55:19: Epoch [13/25], Step [500/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 15:55:19: Epoch [13/25], Step [550/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 15:55:20: Epoch [13/25], Step [600/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 15:55:20: Epoch [13/25], Step [650/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 15:55:20: Epoch [13/25], Step [700/1289], Loss: 0.1340
|
||||
Fri, 16 Sep 2022 15:55:21: Epoch [13/25], Step [750/1289], Loss: 0.0905
|
||||
Fri, 16 Sep 2022 15:55:21: Epoch [13/25], Step [800/1289], Loss: 0.0311
|
||||
Fri, 16 Sep 2022 15:55:21: Epoch [13/25], Step [850/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:55:22: Epoch [13/25], Step [900/1289], Loss: 0.0656
|
||||
Fri, 16 Sep 2022 15:55:22: Epoch [13/25], Step [950/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 15:55:22: Epoch [13/25], Step [1000/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 15:55:23: Epoch [13/25], Step [1050/1289], Loss: 0.1032
|
||||
Fri, 16 Sep 2022 15:55:23: Epoch [13/25], Step [1100/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 15:55:23: Epoch [13/25], Step [1150/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 15:55:23: Epoch [13/25], Step [1200/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:55:24: Epoch [13/25], Step [1250/1289], Loss: 0.0069
|
||||
Fri, 16 Sep 2022 15:55:24: Epoch [14/25], Step [50/1289], Loss: 0.0064
|
||||
Fri, 16 Sep 2022 15:55:25: Epoch [14/25], Step [100/1289], Loss: 0.0541
|
||||
Fri, 16 Sep 2022 15:55:25: Epoch [14/25], Step [150/1289], Loss: 0.1310
|
||||
Fri, 16 Sep 2022 15:55:25: Epoch [14/25], Step [200/1289], Loss: 0.0187
|
||||
Fri, 16 Sep 2022 15:55:26: Epoch [14/25], Step [250/1289], Loss: 0.0374
|
||||
Fri, 16 Sep 2022 15:55:26: Epoch [14/25], Step [300/1289], Loss: 0.0386
|
||||
Fri, 16 Sep 2022 15:55:26: Epoch [14/25], Step [350/1289], Loss: 0.1322
|
||||
Fri, 16 Sep 2022 15:55:27: Epoch [14/25], Step [400/1289], Loss: 0.1051
|
||||
Fri, 16 Sep 2022 15:55:27: Epoch [14/25], Step [450/1289], Loss: 0.0873
|
||||
Fri, 16 Sep 2022 15:55:27: Epoch [14/25], Step [500/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:55:28: Epoch [14/25], Step [550/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 15:55:28: Epoch [14/25], Step [600/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 15:55:28: Epoch [14/25], Step [650/1289], Loss: 0.0393
|
||||
Fri, 16 Sep 2022 15:55:29: Epoch [14/25], Step [700/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 15:55:29: Epoch [14/25], Step [750/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 15:55:29: Epoch [14/25], Step [800/1289], Loss: 0.0465
|
||||
Fri, 16 Sep 2022 15:55:30: Epoch [14/25], Step [850/1289], Loss: 0.1184
|
||||
Fri, 16 Sep 2022 15:55:30: Epoch [14/25], Step [900/1289], Loss: 0.0599
|
||||
Fri, 16 Sep 2022 15:55:30: Epoch [14/25], Step [950/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 15:55:30: Epoch [14/25], Step [1000/1289], Loss: 0.0201
|
||||
Fri, 16 Sep 2022 15:55:31: Epoch [14/25], Step [1050/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 15:55:31: Epoch [14/25], Step [1100/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 15:55:31: Epoch [14/25], Step [1150/1289], Loss: 0.0102
|
||||
Fri, 16 Sep 2022 15:55:32: Epoch [14/25], Step [1200/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 15:55:32: Epoch [14/25], Step [1250/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 15:55:33: Epoch [15/25], Step [50/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 15:55:33: Epoch [15/25], Step [100/1289], Loss: 0.0931
|
||||
Fri, 16 Sep 2022 15:55:33: Epoch [15/25], Step [150/1289], Loss: 0.0409
|
||||
Fri, 16 Sep 2022 15:55:34: Epoch [15/25], Step [200/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 15:55:34: Epoch [15/25], Step [250/1289], Loss: 0.1591
|
||||
Fri, 16 Sep 2022 15:55:34: Epoch [15/25], Step [300/1289], Loss: 0.1290
|
||||
Fri, 16 Sep 2022 15:55:35: Epoch [15/25], Step [350/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 15:55:35: Epoch [15/25], Step [400/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 15:55:35: Epoch [15/25], Step [450/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 15:55:36: Epoch [15/25], Step [500/1289], Loss: 0.0058
|
||||
Fri, 16 Sep 2022 15:55:36: Epoch [15/25], Step [550/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 15:55:36: Epoch [15/25], Step [600/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 15:55:37: Epoch [15/25], Step [650/1289], Loss: 0.0287
|
||||
Fri, 16 Sep 2022 15:55:37: Epoch [15/25], Step [700/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 15:55:37: Epoch [15/25], Step [750/1289], Loss: 0.0334
|
||||
Fri, 16 Sep 2022 15:55:38: Epoch [15/25], Step [800/1289], Loss: 0.0358
|
||||
Fri, 16 Sep 2022 15:55:38: Epoch [15/25], Step [850/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 15:55:38: Epoch [15/25], Step [900/1289], Loss: 0.0642
|
||||
Fri, 16 Sep 2022 15:55:38: Epoch [15/25], Step [950/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 15:55:39: Epoch [15/25], Step [1000/1289], Loss: 0.0760
|
||||
Fri, 16 Sep 2022 15:55:39: Epoch [15/25], Step [1050/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 15:55:39: Epoch [15/25], Step [1100/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 15:55:40: Epoch [15/25], Step [1150/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 15:55:40: Epoch [15/25], Step [1200/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 15:55:40: Epoch [15/25], Step [1250/1289], Loss: 0.0687
|
||||
Fri, 16 Sep 2022 15:55:41: Epoch [16/25], Step [50/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 15:55:41: Epoch [16/25], Step [100/1289], Loss: 0.0736
|
||||
Fri, 16 Sep 2022 15:55:42: Epoch [16/25], Step [150/1289], Loss: 0.1234
|
||||
Fri, 16 Sep 2022 15:55:42: Epoch [16/25], Step [200/1289], Loss: 0.0495
|
||||
Fri, 16 Sep 2022 15:55:42: Epoch [16/25], Step [250/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 15:55:43: Epoch [16/25], Step [300/1289], Loss: 0.0571
|
||||
Fri, 16 Sep 2022 15:55:43: Epoch [16/25], Step [350/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 15:55:43: Epoch [16/25], Step [400/1289], Loss: 0.0699
|
||||
Fri, 16 Sep 2022 15:55:44: Epoch [16/25], Step [450/1289], Loss: 0.0756
|
||||
Fri, 16 Sep 2022 15:55:44: Epoch [16/25], Step [500/1289], Loss: 0.0499
|
||||
Fri, 16 Sep 2022 15:55:44: Epoch [16/25], Step [550/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 15:55:45: Epoch [16/25], Step [600/1289], Loss: 0.1669
|
||||
Fri, 16 Sep 2022 15:55:45: Epoch [16/25], Step [650/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 15:55:45: Epoch [16/25], Step [700/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 15:55:46: Epoch [16/25], Step [750/1289], Loss: 0.0438
|
||||
Fri, 16 Sep 2022 15:55:46: Epoch [16/25], Step [800/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 15:55:46: Epoch [16/25], Step [850/1289], Loss: 0.0643
|
||||
Fri, 16 Sep 2022 15:55:47: Epoch [16/25], Step [900/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 15:55:47: Epoch [16/25], Step [950/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 15:55:47: Epoch [16/25], Step [1000/1289], Loss: 0.0542
|
||||
Fri, 16 Sep 2022 15:55:48: Epoch [16/25], Step [1050/1289], Loss: 0.0207
|
||||
Fri, 16 Sep 2022 15:55:48: Epoch [16/25], Step [1100/1289], Loss: 0.1089
|
||||
Fri, 16 Sep 2022 15:55:48: Epoch [16/25], Step [1150/1289], Loss: 0.0261
|
||||
Fri, 16 Sep 2022 15:55:49: Epoch [16/25], Step [1200/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 15:55:49: Epoch [16/25], Step [1250/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 15:55:50: Epoch [17/25], Step [50/1289], Loss: 0.0849
|
||||
Fri, 16 Sep 2022 15:55:50: Epoch [17/25], Step [100/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 15:55:50: Epoch [17/25], Step [150/1289], Loss: 0.0293
|
||||
Fri, 16 Sep 2022 15:55:51: Epoch [17/25], Step [200/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:55:51: Epoch [17/25], Step [250/1289], Loss: 0.0518
|
||||
Fri, 16 Sep 2022 15:55:51: Epoch [17/25], Step [300/1289], Loss: 0.0895
|
||||
Fri, 16 Sep 2022 15:55:52: Epoch [17/25], Step [350/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 15:55:52: Epoch [17/25], Step [400/1289], Loss: 0.0477
|
||||
Fri, 16 Sep 2022 15:55:52: Epoch [17/25], Step [450/1289], Loss: 0.0170
|
||||
Fri, 16 Sep 2022 15:55:53: Epoch [17/25], Step [500/1289], Loss: 0.0608
|
||||
Fri, 16 Sep 2022 15:55:53: Epoch [17/25], Step [550/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 15:55:53: Epoch [17/25], Step [600/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 15:55:54: Epoch [17/25], Step [650/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 15:55:54: Epoch [17/25], Step [700/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 15:55:54: Epoch [17/25], Step [750/1289], Loss: 0.1326
|
||||
Fri, 16 Sep 2022 15:55:55: Epoch [17/25], Step [800/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 15:55:55: Epoch [17/25], Step [850/1289], Loss: 0.0158
|
||||
Fri, 16 Sep 2022 15:55:55: Epoch [17/25], Step [900/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 15:55:56: Epoch [17/25], Step [950/1289], Loss: 0.1048
|
||||
Fri, 16 Sep 2022 15:55:56: Epoch [17/25], Step [1000/1289], Loss: 0.0155
|
||||
Fri, 16 Sep 2022 15:55:56: Epoch [17/25], Step [1050/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 15:55:57: Epoch [17/25], Step [1100/1289], Loss: 0.0475
|
||||
Fri, 16 Sep 2022 15:55:57: Epoch [17/25], Step [1150/1289], Loss: 0.0950
|
||||
Fri, 16 Sep 2022 15:55:57: Epoch [17/25], Step [1200/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 15:55:58: Epoch [17/25], Step [1250/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 15:55:58: Epoch [18/25], Step [50/1289], Loss: 0.1570
|
||||
Fri, 16 Sep 2022 15:55:59: Epoch [18/25], Step [100/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 15:55:59: Epoch [18/25], Step [150/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 15:55:59: Epoch [18/25], Step [200/1289], Loss: 0.0492
|
||||
Fri, 16 Sep 2022 15:56:00: Epoch [18/25], Step [250/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:56:00: Epoch [18/25], Step [300/1289], Loss: 0.0582
|
||||
Fri, 16 Sep 2022 15:56:00: Epoch [18/25], Step [350/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 15:56:01: Epoch [18/25], Step [400/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 15:56:01: Epoch [18/25], Step [450/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 15:56:01: Epoch [18/25], Step [500/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 15:56:02: Epoch [18/25], Step [550/1289], Loss: 0.0600
|
||||
Fri, 16 Sep 2022 15:56:02: Epoch [18/25], Step [600/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 15:56:02: Epoch [18/25], Step [650/1289], Loss: 0.0474
|
||||
Fri, 16 Sep 2022 15:56:03: Epoch [18/25], Step [700/1289], Loss: 0.0187
|
||||
Fri, 16 Sep 2022 15:56:03: Epoch [18/25], Step [750/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 15:56:03: Epoch [18/25], Step [800/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 15:56:04: Epoch [18/25], Step [850/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 15:56:04: Epoch [18/25], Step [900/1289], Loss: 0.1169
|
||||
Fri, 16 Sep 2022 15:56:04: Epoch [18/25], Step [950/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 15:56:05: Epoch [18/25], Step [1000/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 15:56:05: Epoch [18/25], Step [1050/1289], Loss: 0.0679
|
||||
Fri, 16 Sep 2022 15:56:05: Epoch [18/25], Step [1100/1289], Loss: 0.0518
|
||||
Fri, 16 Sep 2022 15:56:06: Epoch [18/25], Step [1150/1289], Loss: 0.0921
|
||||
Fri, 16 Sep 2022 15:56:06: Epoch [18/25], Step [1200/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 15:56:06: Epoch [18/25], Step [1250/1289], Loss: 0.0220
|
||||
Fri, 16 Sep 2022 15:56:07: Epoch [19/25], Step [50/1289], Loss: 0.0696
|
||||
Fri, 16 Sep 2022 15:56:07: Epoch [19/25], Step [100/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 15:56:08: Epoch [19/25], Step [150/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 15:56:08: Epoch [19/25], Step [200/1289], Loss: 0.0367
|
||||
Fri, 16 Sep 2022 15:56:08: Epoch [19/25], Step [250/1289], Loss: 0.0533
|
||||
Fri, 16 Sep 2022 15:56:09: Epoch [19/25], Step [300/1289], Loss: 0.0660
|
||||
Fri, 16 Sep 2022 15:56:09: Epoch [19/25], Step [350/1289], Loss: 0.1249
|
||||
Fri, 16 Sep 2022 15:56:09: Epoch [19/25], Step [400/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 15:56:10: Epoch [19/25], Step [450/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 15:56:10: Epoch [19/25], Step [500/1289], Loss: 0.0376
|
||||
Fri, 16 Sep 2022 15:56:10: Epoch [19/25], Step [550/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 15:56:11: Epoch [19/25], Step [600/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 15:56:11: Epoch [19/25], Step [650/1289], Loss: 0.0451
|
||||
Fri, 16 Sep 2022 15:56:11: Epoch [19/25], Step [700/1289], Loss: 0.0334
|
||||
Fri, 16 Sep 2022 15:56:12: Epoch [19/25], Step [750/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 15:56:12: Epoch [19/25], Step [800/1289], Loss: 0.0411
|
||||
Fri, 16 Sep 2022 15:56:12: Epoch [19/25], Step [850/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 15:56:12: Epoch [19/25], Step [900/1289], Loss: 0.0334
|
||||
Fri, 16 Sep 2022 15:56:13: Epoch [19/25], Step [950/1289], Loss: 0.0401
|
||||
Fri, 16 Sep 2022 15:56:13: Epoch [19/25], Step [1000/1289], Loss: 0.0823
|
||||
Fri, 16 Sep 2022 15:56:13: Epoch [19/25], Step [1050/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 15:56:14: Epoch [19/25], Step [1100/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 15:56:14: Epoch [19/25], Step [1150/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 15:56:14: Epoch [19/25], Step [1200/1289], Loss: 0.0401
|
||||
Fri, 16 Sep 2022 15:56:15: Epoch [19/25], Step [1250/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 15:56:15: Epoch [20/25], Step [50/1289], Loss: 0.0526
|
||||
Fri, 16 Sep 2022 15:56:16: Epoch [20/25], Step [100/1289], Loss: 0.1044
|
||||
Fri, 16 Sep 2022 15:56:16: Epoch [20/25], Step [150/1289], Loss: 0.0092
|
||||
Fri, 16 Sep 2022 15:56:16: Epoch [20/25], Step [200/1289], Loss: 0.0199
|
||||
Fri, 16 Sep 2022 15:56:17: Epoch [20/25], Step [250/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 15:56:17: Epoch [20/25], Step [300/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 15:56:17: Epoch [20/25], Step [350/1289], Loss: 0.1548
|
||||
Fri, 16 Sep 2022 15:56:18: Epoch [20/25], Step [400/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 15:56:18: Epoch [20/25], Step [450/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 15:56:18: Epoch [20/25], Step [500/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 15:56:19: Epoch [20/25], Step [550/1289], Loss: 0.0028
|
||||
Fri, 16 Sep 2022 15:56:19: Epoch [20/25], Step [600/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 15:56:19: Epoch [20/25], Step [650/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 15:56:20: Epoch [20/25], Step [700/1289], Loss: 0.0642
|
||||
Fri, 16 Sep 2022 15:56:20: Epoch [20/25], Step [750/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 15:56:20: Epoch [20/25], Step [800/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 15:56:21: Epoch [20/25], Step [850/1289], Loss: 0.0552
|
||||
Fri, 16 Sep 2022 15:56:21: Epoch [20/25], Step [900/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 15:56:21: Epoch [20/25], Step [950/1289], Loss: 0.0131
|
||||
Fri, 16 Sep 2022 15:56:21: Epoch [20/25], Step [1000/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 15:56:22: Epoch [20/25], Step [1050/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 15:56:22: Epoch [20/25], Step [1100/1289], Loss: 0.0478
|
||||
Fri, 16 Sep 2022 15:56:22: Epoch [20/25], Step [1150/1289], Loss: 0.0074
|
||||
Fri, 16 Sep 2022 15:56:23: Epoch [20/25], Step [1200/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 15:56:23: Epoch [20/25], Step [1250/1289], Loss: 0.0761
|
||||
Fri, 16 Sep 2022 15:56:24: Epoch [21/25], Step [50/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 15:56:24: Epoch [21/25], Step [100/1289], Loss: 0.0868
|
||||
Fri, 16 Sep 2022 15:56:24: Epoch [21/25], Step [150/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 15:56:25: Epoch [21/25], Step [200/1289], Loss: 0.1027
|
||||
Fri, 16 Sep 2022 15:56:25: Epoch [21/25], Step [250/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 15:56:25: Epoch [21/25], Step [300/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 15:56:26: Epoch [21/25], Step [350/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 15:56:26: Epoch [21/25], Step [400/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 15:56:26: Epoch [21/25], Step [450/1289], Loss: 0.0556
|
||||
Fri, 16 Sep 2022 15:56:27: Epoch [21/25], Step [500/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 15:56:27: Epoch [21/25], Step [550/1289], Loss: 0.0789
|
||||
Fri, 16 Sep 2022 15:56:27: Epoch [21/25], Step [600/1289], Loss: 0.0506
|
||||
Fri, 16 Sep 2022 15:56:28: Epoch [21/25], Step [650/1289], Loss: 0.0806
|
||||
Fri, 16 Sep 2022 15:56:28: Epoch [21/25], Step [700/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 15:56:28: Epoch [21/25], Step [750/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 15:56:29: Epoch [21/25], Step [800/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 15:56:29: Epoch [21/25], Step [850/1289], Loss: 0.0812
|
||||
Fri, 16 Sep 2022 15:56:29: Epoch [21/25], Step [900/1289], Loss: 0.0579
|
||||
Fri, 16 Sep 2022 15:56:30: Epoch [21/25], Step [950/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 15:56:30: Epoch [21/25], Step [1000/1289], Loss: 0.0799
|
||||
Fri, 16 Sep 2022 15:56:30: Epoch [21/25], Step [1050/1289], Loss: 0.1310
|
||||
Fri, 16 Sep 2022 15:56:30: Epoch [21/25], Step [1100/1289], Loss: 0.0561
|
||||
Fri, 16 Sep 2022 15:56:31: Epoch [21/25], Step [1150/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 15:56:31: Epoch [21/25], Step [1200/1289], Loss: 0.1141
|
||||
Fri, 16 Sep 2022 15:56:31: Epoch [21/25], Step [1250/1289], Loss: 0.1217
|
||||
Fri, 16 Sep 2022 15:56:32: Epoch [22/25], Step [50/1289], Loss: 0.0179
|
||||
Fri, 16 Sep 2022 15:56:32: Epoch [22/25], Step [100/1289], Loss: 0.0628
|
||||
Fri, 16 Sep 2022 15:56:33: Epoch [22/25], Step [150/1289], Loss: 0.0146
|
||||
Fri, 16 Sep 2022 15:56:33: Epoch [22/25], Step [200/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 15:56:33: Epoch [22/25], Step [250/1289], Loss: 0.0694
|
||||
Fri, 16 Sep 2022 15:56:34: Epoch [22/25], Step [300/1289], Loss: 0.0421
|
||||
Fri, 16 Sep 2022 15:56:34: Epoch [22/25], Step [350/1289], Loss: 0.0400
|
||||
Fri, 16 Sep 2022 15:56:34: Epoch [22/25], Step [400/1289], Loss: 0.0520
|
||||
Fri, 16 Sep 2022 15:56:35: Epoch [22/25], Step [450/1289], Loss: 0.0598
|
||||
Fri, 16 Sep 2022 15:56:35: Epoch [22/25], Step [500/1289], Loss: 0.0394
|
||||
Fri, 16 Sep 2022 15:56:35: Epoch [22/25], Step [550/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 15:56:36: Epoch [22/25], Step [600/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 15:56:36: Epoch [22/25], Step [650/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 15:56:36: Epoch [22/25], Step [700/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 15:56:37: Epoch [22/25], Step [750/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:56:37: Epoch [22/25], Step [800/1289], Loss: 0.0077
|
||||
Fri, 16 Sep 2022 15:56:37: Epoch [22/25], Step [850/1289], Loss: 0.0114
|
||||
Fri, 16 Sep 2022 15:56:38: Epoch [22/25], Step [900/1289], Loss: 0.0416
|
||||
Fri, 16 Sep 2022 15:56:38: Epoch [22/25], Step [950/1289], Loss: 0.0692
|
||||
Fri, 16 Sep 2022 15:56:38: Epoch [22/25], Step [1000/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 15:56:39: Epoch [22/25], Step [1050/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 15:56:39: Epoch [22/25], Step [1100/1289], Loss: 0.0508
|
||||
Fri, 16 Sep 2022 15:56:39: Epoch [22/25], Step [1150/1289], Loss: 0.0606
|
||||
Fri, 16 Sep 2022 15:56:39: Epoch [22/25], Step [1200/1289], Loss: 0.0482
|
||||
Fri, 16 Sep 2022 15:56:40: Epoch [22/25], Step [1250/1289], Loss: 0.0542
|
||||
Fri, 16 Sep 2022 15:56:40: Epoch [23/25], Step [50/1289], Loss: 0.0499
|
||||
Fri, 16 Sep 2022 15:56:41: Epoch [23/25], Step [100/1289], Loss: 0.0290
|
||||
Fri, 16 Sep 2022 15:56:41: Epoch [23/25], Step [150/1289], Loss: 0.0852
|
||||
Fri, 16 Sep 2022 15:56:41: Epoch [23/25], Step [200/1289], Loss: 0.1496
|
||||
Fri, 16 Sep 2022 15:56:42: Epoch [23/25], Step [250/1289], Loss: 0.0882
|
||||
Fri, 16 Sep 2022 15:56:42: Epoch [23/25], Step [300/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 15:56:42: Epoch [23/25], Step [350/1289], Loss: 0.0688
|
||||
Fri, 16 Sep 2022 15:56:43: Epoch [23/25], Step [400/1289], Loss: 0.0367
|
||||
Fri, 16 Sep 2022 15:56:43: Epoch [23/25], Step [450/1289], Loss: 0.0109
|
||||
Fri, 16 Sep 2022 15:56:43: Epoch [23/25], Step [500/1289], Loss: 0.0106
|
||||
Fri, 16 Sep 2022 15:56:44: Epoch [23/25], Step [550/1289], Loss: 0.0536
|
||||
Fri, 16 Sep 2022 15:56:44: Epoch [23/25], Step [600/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 15:56:44: Epoch [23/25], Step [650/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 15:56:45: Epoch [23/25], Step [700/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 15:56:45: Epoch [23/25], Step [750/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 15:56:45: Epoch [23/25], Step [800/1289], Loss: 0.0380
|
||||
Fri, 16 Sep 2022 15:56:46: Epoch [23/25], Step [850/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 15:56:46: Epoch [23/25], Step [900/1289], Loss: 0.0985
|
||||
Fri, 16 Sep 2022 15:56:46: Epoch [23/25], Step [950/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 15:56:47: Epoch [23/25], Step [1000/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 15:56:47: Epoch [23/25], Step [1050/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:56:47: Epoch [23/25], Step [1100/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 15:56:47: Epoch [23/25], Step [1150/1289], Loss: 0.0286
|
||||
Fri, 16 Sep 2022 15:56:48: Epoch [23/25], Step [1200/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 15:56:48: Epoch [23/25], Step [1250/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 15:56:49: Epoch [24/25], Step [50/1289], Loss: 0.0578
|
||||
Fri, 16 Sep 2022 15:56:49: Epoch [24/25], Step [100/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 15:56:49: Epoch [24/25], Step [150/1289], Loss: 0.0060
|
||||
Fri, 16 Sep 2022 15:56:50: Epoch [24/25], Step [200/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 15:56:50: Epoch [24/25], Step [250/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 15:56:50: Epoch [24/25], Step [300/1289], Loss: 0.0752
|
||||
Fri, 16 Sep 2022 15:56:51: Epoch [24/25], Step [350/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 15:56:51: Epoch [24/25], Step [400/1289], Loss: 0.0125
|
||||
Fri, 16 Sep 2022 15:56:51: Epoch [24/25], Step [450/1289], Loss: 0.1534
|
||||
Fri, 16 Sep 2022 15:56:52: Epoch [24/25], Step [500/1289], Loss: 0.0148
|
||||
Fri, 16 Sep 2022 15:56:52: Epoch [24/25], Step [550/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 15:56:52: Epoch [24/25], Step [600/1289], Loss: 0.0350
|
||||
Fri, 16 Sep 2022 15:56:53: Epoch [24/25], Step [650/1289], Loss: 0.0349
|
||||
Fri, 16 Sep 2022 15:56:53: Epoch [24/25], Step [700/1289], Loss: 0.0469
|
||||
Fri, 16 Sep 2022 15:56:53: Epoch [24/25], Step [750/1289], Loss: 0.0372
|
||||
Fri, 16 Sep 2022 15:56:54: Epoch [24/25], Step [800/1289], Loss: 0.1214
|
||||
Fri, 16 Sep 2022 15:56:54: Epoch [24/25], Step [850/1289], Loss: 0.0378
|
||||
Fri, 16 Sep 2022 15:56:54: Epoch [24/25], Step [900/1289], Loss: 0.0731
|
||||
Fri, 16 Sep 2022 15:56:55: Epoch [24/25], Step [950/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 15:56:55: Epoch [24/25], Step [1000/1289], Loss: 0.0489
|
||||
Fri, 16 Sep 2022 15:56:55: Epoch [24/25], Step [1050/1289], Loss: 0.0669
|
||||
Fri, 16 Sep 2022 15:56:56: Epoch [24/25], Step [1100/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 15:56:56: Epoch [24/25], Step [1150/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 15:56:56: Epoch [24/25], Step [1200/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 15:56:57: Epoch [24/25], Step [1250/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 15:56:57: Epoch [25/25], Step [50/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 15:56:57: Epoch [25/25], Step [100/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 15:56:58: Epoch [25/25], Step [150/1289], Loss: 0.0212
|
||||
Fri, 16 Sep 2022 15:56:58: Epoch [25/25], Step [200/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 15:56:58: Epoch [25/25], Step [250/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 15:56:59: Epoch [25/25], Step [300/1289], Loss: 0.0305
|
||||
Fri, 16 Sep 2022 15:56:59: Epoch [25/25], Step [350/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 15:56:59: Epoch [25/25], Step [400/1289], Loss: 0.0624
|
||||
Fri, 16 Sep 2022 15:57:00: Epoch [25/25], Step [450/1289], Loss: 0.0051
|
||||
Fri, 16 Sep 2022 15:57:00: Epoch [25/25], Step [500/1289], Loss: 0.0363
|
||||
Fri, 16 Sep 2022 15:57:00: Epoch [25/25], Step [550/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 15:57:01: Epoch [25/25], Step [600/1289], Loss: 0.0510
|
||||
Fri, 16 Sep 2022 15:57:01: Epoch [25/25], Step [650/1289], Loss: 0.1002
|
||||
Fri, 16 Sep 2022 15:57:01: Epoch [25/25], Step [700/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 15:57:02: Epoch [25/25], Step [750/1289], Loss: 0.0179
|
||||
Fri, 16 Sep 2022 15:57:02: Epoch [25/25], Step [800/1289], Loss: 0.0467
|
||||
Fri, 16 Sep 2022 15:57:02: Epoch [25/25], Step [850/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 15:57:03: Epoch [25/25], Step [900/1289], Loss: 0.0053
|
||||
Fri, 16 Sep 2022 15:57:03: Epoch [25/25], Step [950/1289], Loss: 0.0208
|
||||
Fri, 16 Sep 2022 15:57:03: Epoch [25/25], Step [1000/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 15:57:04: Epoch [25/25], Step [1050/1289], Loss: 0.0742
|
||||
Fri, 16 Sep 2022 15:57:04: Epoch [25/25], Step [1100/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 15:57:04: Epoch [25/25], Step [1150/1289], Loss: 0.1010
|
||||
Fri, 16 Sep 2022 15:57:05: Epoch [25/25], Step [1200/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 15:57:05: Epoch [25/25], Step [1250/1289], Loss: 0.0137
|
||||
Fri, 16 Sep 2022 15:57:05: start testing on test dataset
|
||||
Fri, 16 Sep 2022 15:57:07: f1 :0.9623470948012233
|
||||
Fri, 16 Sep 2022 15:57:07:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9368 0.9933 0.9642 16040
|
||||
1 0.9929 0.9336 0.9623 16179
|
||||
|
||||
accuracy 0.9633 32219
|
||||
macro avg 0.9649 0.9634 0.9633 32219
|
||||
weighted avg 0.9650 0.9633 0.9633 32219
|
||||
|
||||
Fri, 16 Sep 2022 15:57:07:
|
||||
[[15932 108]
|
||||
[ 1074 15105]]
|
||||
Fri, 16 Sep 2022 15:57:07: high_num,high_true,high_false:5519,5120,399
|
||||
Fri, 16 Sep 2022 15:57:07: low_num,low_true,low_false:10660,9985,675
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:19:48: -------------
|
||||
Fri, 16 Sep 2022 16:19:48: layers:(gru,fully connnected layer)-(3,2)
|
||||
Fri, 16 Sep 2022 16:19:49: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:19:49: model parameters - num_layers:3, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:19:49: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:19:49: reading csv file
|
||||
Fri, 16 Sep 2022 16:19:49: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:20:00: procols num: 31
|
||||
Fri, 16 Sep 2022 16:20:00: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:21:23: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:21:25: loader already prepared
|
||||
Fri, 16 Sep 2022 16:21:25: loader中(0:normal,1:high,2:low):Counter({0: 16267, 2: 10057, 1: 5895})
|
||||
Fri, 16 Sep 2022 16:21:27: start training
|
||||
Fri, 16 Sep 2022 16:21:27: Epoch [1/25], Step [50/1289], Loss: 0.4853
|
||||
Fri, 16 Sep 2022 16:21:28: Epoch [1/25], Step [100/1289], Loss: 0.4330
|
||||
Fri, 16 Sep 2022 16:21:28: Epoch [1/25], Step [150/1289], Loss: 0.4426
|
||||
Fri, 16 Sep 2022 16:21:29: Epoch [1/25], Step [200/1289], Loss: 0.4083
|
||||
Fri, 16 Sep 2022 16:21:29: Epoch [1/25], Step [250/1289], Loss: 0.2550
|
||||
Fri, 16 Sep 2022 16:21:30: Epoch [1/25], Step [300/1289], Loss: 0.4628
|
||||
Fri, 16 Sep 2022 16:21:30: Epoch [1/25], Step [350/1289], Loss: 0.3666
|
||||
Fri, 16 Sep 2022 16:21:30: Epoch [1/25], Step [400/1289], Loss: 0.2392
|
||||
Fri, 16 Sep 2022 16:21:31: Epoch [1/25], Step [450/1289], Loss: 0.3051
|
||||
Fri, 16 Sep 2022 16:21:31: Epoch [1/25], Step [500/1289], Loss: 0.2724
|
||||
Fri, 16 Sep 2022 16:21:31: Epoch [1/25], Step [550/1289], Loss: 0.3112
|
||||
Fri, 16 Sep 2022 16:21:32: Epoch [1/25], Step [600/1289], Loss: 0.2161
|
||||
Fri, 16 Sep 2022 16:21:32: Epoch [1/25], Step [650/1289], Loss: 0.2565
|
||||
Fri, 16 Sep 2022 16:21:32: Epoch [1/25], Step [700/1289], Loss: 0.1492
|
||||
Fri, 16 Sep 2022 16:21:33: Epoch [1/25], Step [750/1289], Loss: 0.2238
|
||||
Fri, 16 Sep 2022 16:21:33: Epoch [1/25], Step [800/1289], Loss: 0.1772
|
||||
Fri, 16 Sep 2022 16:21:33: Epoch [1/25], Step [850/1289], Loss: 0.2489
|
||||
Fri, 16 Sep 2022 16:21:34: Epoch [1/25], Step [900/1289], Loss: 0.1515
|
||||
Fri, 16 Sep 2022 16:21:34: Epoch [1/25], Step [950/1289], Loss: 0.1635
|
||||
Fri, 16 Sep 2022 16:21:34: Epoch [1/25], Step [1000/1289], Loss: 0.1205
|
||||
Fri, 16 Sep 2022 16:21:35: Epoch [1/25], Step [1050/1289], Loss: 0.0978
|
||||
Fri, 16 Sep 2022 16:21:35: Epoch [1/25], Step [1100/1289], Loss: 0.1579
|
||||
Fri, 16 Sep 2022 16:21:35: Epoch [1/25], Step [1150/1289], Loss: 0.1004
|
||||
Fri, 16 Sep 2022 16:21:36: Epoch [1/25], Step [1200/1289], Loss: 0.1673
|
||||
Fri, 16 Sep 2022 16:21:36: Epoch [1/25], Step [1250/1289], Loss: 0.0999
|
||||
Fri, 16 Sep 2022 16:21:37: Epoch [2/25], Step [50/1289], Loss: 0.1531
|
||||
Fri, 16 Sep 2022 16:21:37: Epoch [2/25], Step [100/1289], Loss: 0.1307
|
||||
Fri, 16 Sep 2022 16:21:37: Epoch [2/25], Step [150/1289], Loss: 0.1470
|
||||
Fri, 16 Sep 2022 16:21:38: Epoch [2/25], Step [200/1289], Loss: 0.1159
|
||||
Fri, 16 Sep 2022 16:21:38: Epoch [2/25], Step [250/1289], Loss: 0.1493
|
||||
Fri, 16 Sep 2022 16:21:38: Epoch [2/25], Step [300/1289], Loss: 0.1558
|
||||
Fri, 16 Sep 2022 16:21:39: Epoch [2/25], Step [350/1289], Loss: 0.1773
|
||||
Fri, 16 Sep 2022 16:21:39: Epoch [2/25], Step [400/1289], Loss: 0.0818
|
||||
Fri, 16 Sep 2022 16:21:39: Epoch [2/25], Step [450/1289], Loss: 0.1588
|
||||
Fri, 16 Sep 2022 16:21:40: Epoch [2/25], Step [500/1289], Loss: 0.1764
|
||||
Fri, 16 Sep 2022 16:21:40: Epoch [2/25], Step [550/1289], Loss: 0.2034
|
||||
Fri, 16 Sep 2022 16:21:40: Epoch [2/25], Step [600/1289], Loss: 0.2595
|
||||
Fri, 16 Sep 2022 16:21:41: Epoch [2/25], Step [650/1289], Loss: 0.1387
|
||||
Fri, 16 Sep 2022 16:21:41: Epoch [2/25], Step [700/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:21:41: Epoch [2/25], Step [750/1289], Loss: 0.1843
|
||||
Fri, 16 Sep 2022 16:21:42: Epoch [2/25], Step [800/1289], Loss: 0.0912
|
||||
Fri, 16 Sep 2022 16:21:42: Epoch [2/25], Step [850/1289], Loss: 0.1684
|
||||
Fri, 16 Sep 2022 16:21:42: Epoch [2/25], Step [900/1289], Loss: 0.1615
|
||||
Fri, 16 Sep 2022 16:21:43: Epoch [2/25], Step [950/1289], Loss: 0.0716
|
||||
Fri, 16 Sep 2022 16:21:43: Epoch [2/25], Step [1000/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:21:43: Epoch [2/25], Step [1050/1289], Loss: 0.1695
|
||||
Fri, 16 Sep 2022 16:21:44: Epoch [2/25], Step [1100/1289], Loss: 0.1150
|
||||
Fri, 16 Sep 2022 16:21:44: Epoch [2/25], Step [1150/1289], Loss: 0.0823
|
||||
Fri, 16 Sep 2022 16:21:44: Epoch [2/25], Step [1200/1289], Loss: 0.1110
|
||||
Fri, 16 Sep 2022 16:21:45: Epoch [2/25], Step [1250/1289], Loss: 0.0907
|
||||
Fri, 16 Sep 2022 16:21:45: Epoch [3/25], Step [50/1289], Loss: 0.0983
|
||||
Fri, 16 Sep 2022 16:21:45: Epoch [3/25], Step [100/1289], Loss: 0.0844
|
||||
Fri, 16 Sep 2022 16:21:46: Epoch [3/25], Step [150/1289], Loss: 0.1097
|
||||
Fri, 16 Sep 2022 16:21:46: Epoch [3/25], Step [200/1289], Loss: 0.0522
|
||||
Fri, 16 Sep 2022 16:21:46: Epoch [3/25], Step [250/1289], Loss: 0.0801
|
||||
Fri, 16 Sep 2022 16:21:47: Epoch [3/25], Step [300/1289], Loss: 0.0562
|
||||
Fri, 16 Sep 2022 16:21:47: Epoch [3/25], Step [350/1289], Loss: 0.1145
|
||||
Fri, 16 Sep 2022 16:21:47: Epoch [3/25], Step [400/1289], Loss: 0.1396
|
||||
Fri, 16 Sep 2022 16:21:48: Epoch [3/25], Step [450/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 16:21:48: Epoch [3/25], Step [500/1289], Loss: 0.1569
|
||||
Fri, 16 Sep 2022 16:21:48: Epoch [3/25], Step [550/1289], Loss: 0.1454
|
||||
Fri, 16 Sep 2022 16:21:49: Epoch [3/25], Step [600/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 16:21:49: Epoch [3/25], Step [650/1289], Loss: 0.1152
|
||||
Fri, 16 Sep 2022 16:21:49: Epoch [3/25], Step [700/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:21:50: Epoch [3/25], Step [750/1289], Loss: 0.2013
|
||||
Fri, 16 Sep 2022 16:21:50: Epoch [3/25], Step [800/1289], Loss: 0.0672
|
||||
Fri, 16 Sep 2022 16:21:50: Epoch [3/25], Step [850/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 16:21:51: Epoch [3/25], Step [900/1289], Loss: 0.1334
|
||||
Fri, 16 Sep 2022 16:21:51: Epoch [3/25], Step [950/1289], Loss: 0.1652
|
||||
Fri, 16 Sep 2022 16:21:51: Epoch [3/25], Step [1000/1289], Loss: 0.1123
|
||||
Fri, 16 Sep 2022 16:21:52: Epoch [3/25], Step [1050/1289], Loss: 0.1761
|
||||
Fri, 16 Sep 2022 16:21:52: Epoch [3/25], Step [1100/1289], Loss: 0.0777
|
||||
Fri, 16 Sep 2022 16:21:52: Epoch [3/25], Step [1150/1289], Loss: 0.1522
|
||||
Fri, 16 Sep 2022 16:21:53: Epoch [3/25], Step [1200/1289], Loss: 0.1102
|
||||
Fri, 16 Sep 2022 16:21:53: Epoch [3/25], Step [1250/1289], Loss: 0.0622
|
||||
Fri, 16 Sep 2022 16:21:54: Epoch [4/25], Step [50/1289], Loss: 0.0927
|
||||
Fri, 16 Sep 2022 16:21:54: Epoch [4/25], Step [100/1289], Loss: 0.0784
|
||||
Fri, 16 Sep 2022 16:21:54: Epoch [4/25], Step [150/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:21:54: Epoch [4/25], Step [200/1289], Loss: 0.1523
|
||||
Fri, 16 Sep 2022 16:21:55: Epoch [4/25], Step [250/1289], Loss: 0.1051
|
||||
Fri, 16 Sep 2022 16:21:55: Epoch [4/25], Step [300/1289], Loss: 0.1649
|
||||
Fri, 16 Sep 2022 16:21:56: Epoch [4/25], Step [350/1289], Loss: 0.0563
|
||||
Fri, 16 Sep 2022 16:21:56: Epoch [4/25], Step [400/1289], Loss: 0.0909
|
||||
Fri, 16 Sep 2022 16:21:56: Epoch [4/25], Step [450/1289], Loss: 0.1146
|
||||
Fri, 16 Sep 2022 16:21:57: Epoch [4/25], Step [500/1289], Loss: 0.0784
|
||||
Fri, 16 Sep 2022 16:21:57: Epoch [4/25], Step [550/1289], Loss: 0.0715
|
||||
Fri, 16 Sep 2022 16:21:57: Epoch [4/25], Step [600/1289], Loss: 0.0635
|
||||
Fri, 16 Sep 2022 16:21:58: Epoch [4/25], Step [650/1289], Loss: 0.1149
|
||||
Fri, 16 Sep 2022 16:21:58: Epoch [4/25], Step [700/1289], Loss: 0.0712
|
||||
Fri, 16 Sep 2022 16:21:58: Epoch [4/25], Step [750/1289], Loss: 0.0719
|
||||
Fri, 16 Sep 2022 16:21:59: Epoch [4/25], Step [800/1289], Loss: 0.1163
|
||||
Fri, 16 Sep 2022 16:21:59: Epoch [4/25], Step [850/1289], Loss: 0.0641
|
||||
Fri, 16 Sep 2022 16:21:59: Epoch [4/25], Step [900/1289], Loss: 0.0326
|
||||
Fri, 16 Sep 2022 16:22:00: Epoch [4/25], Step [950/1289], Loss: 0.1487
|
||||
Fri, 16 Sep 2022 16:22:00: Epoch [4/25], Step [1000/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:22:00: Epoch [4/25], Step [1050/1289], Loss: 0.0932
|
||||
Fri, 16 Sep 2022 16:22:01: Epoch [4/25], Step [1100/1289], Loss: 0.0403
|
||||
Fri, 16 Sep 2022 16:22:01: Epoch [4/25], Step [1150/1289], Loss: 0.1471
|
||||
Fri, 16 Sep 2022 16:22:02: Epoch [4/25], Step [1200/1289], Loss: 0.0822
|
||||
Fri, 16 Sep 2022 16:22:02: Epoch [4/25], Step [1250/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:22:03: Epoch [5/25], Step [50/1289], Loss: 0.0972
|
||||
Fri, 16 Sep 2022 16:22:03: Epoch [5/25], Step [100/1289], Loss: 0.0919
|
||||
Fri, 16 Sep 2022 16:22:03: Epoch [5/25], Step [150/1289], Loss: 0.0845
|
||||
Fri, 16 Sep 2022 16:22:04: Epoch [5/25], Step [200/1289], Loss: 0.1034
|
||||
Fri, 16 Sep 2022 16:22:04: Epoch [5/25], Step [250/1289], Loss: 0.1017
|
||||
Fri, 16 Sep 2022 16:22:04: Epoch [5/25], Step [300/1289], Loss: 0.0890
|
||||
Fri, 16 Sep 2022 16:22:05: Epoch [5/25], Step [350/1289], Loss: 0.0798
|
||||
Fri, 16 Sep 2022 16:22:05: Epoch [5/25], Step [400/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 16:22:05: Epoch [5/25], Step [450/1289], Loss: 0.1145
|
||||
Fri, 16 Sep 2022 16:22:06: Epoch [5/25], Step [500/1289], Loss: 0.0720
|
||||
Fri, 16 Sep 2022 16:22:06: Epoch [5/25], Step [550/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 16:22:06: Epoch [5/25], Step [600/1289], Loss: 0.1615
|
||||
Fri, 16 Sep 2022 16:22:06: Epoch [5/25], Step [650/1289], Loss: 0.0800
|
||||
Fri, 16 Sep 2022 16:22:07: Epoch [5/25], Step [700/1289], Loss: 0.2042
|
||||
Fri, 16 Sep 2022 16:22:07: Epoch [5/25], Step [750/1289], Loss: 0.1139
|
||||
Fri, 16 Sep 2022 16:22:08: Epoch [5/25], Step [800/1289], Loss: 0.1244
|
||||
Fri, 16 Sep 2022 16:22:08: Epoch [5/25], Step [850/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:22:08: Epoch [5/25], Step [900/1289], Loss: 0.1051
|
||||
Fri, 16 Sep 2022 16:22:09: Epoch [5/25], Step [950/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 16:22:09: Epoch [5/25], Step [1000/1289], Loss: 0.0663
|
||||
Fri, 16 Sep 2022 16:22:09: Epoch [5/25], Step [1050/1289], Loss: 0.1256
|
||||
Fri, 16 Sep 2022 16:22:10: Epoch [5/25], Step [1100/1289], Loss: 0.1144
|
||||
Fri, 16 Sep 2022 16:22:10: Epoch [5/25], Step [1150/1289], Loss: 0.0939
|
||||
Fri, 16 Sep 2022 16:22:10: Epoch [5/25], Step [1200/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 16:22:11: Epoch [5/25], Step [1250/1289], Loss: 0.1084
|
||||
Fri, 16 Sep 2022 16:22:11: Epoch [6/25], Step [50/1289], Loss: 0.0245
|
||||
Fri, 16 Sep 2022 16:22:12: Epoch [6/25], Step [100/1289], Loss: 0.0718
|
||||
Fri, 16 Sep 2022 16:22:12: Epoch [6/25], Step [150/1289], Loss: 0.0989
|
||||
Fri, 16 Sep 2022 16:22:12: Epoch [6/25], Step [200/1289], Loss: 0.1486
|
||||
Fri, 16 Sep 2022 16:22:13: Epoch [6/25], Step [250/1289], Loss: 0.0436
|
||||
Fri, 16 Sep 2022 16:22:13: Epoch [6/25], Step [300/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:22:13: Epoch [6/25], Step [350/1289], Loss: 0.0410
|
||||
Fri, 16 Sep 2022 16:22:14: Epoch [6/25], Step [400/1289], Loss: 0.1091
|
||||
Fri, 16 Sep 2022 16:22:14: Epoch [6/25], Step [450/1289], Loss: 0.0500
|
||||
Fri, 16 Sep 2022 16:22:14: Epoch [6/25], Step [500/1289], Loss: 0.0585
|
||||
Fri, 16 Sep 2022 16:22:15: Epoch [6/25], Step [550/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 16:22:15: Epoch [6/25], Step [600/1289], Loss: 0.0479
|
||||
Fri, 16 Sep 2022 16:22:15: Epoch [6/25], Step [650/1289], Loss: 0.1550
|
||||
Fri, 16 Sep 2022 16:22:16: Epoch [6/25], Step [700/1289], Loss: 0.0472
|
||||
Fri, 16 Sep 2022 16:22:16: Epoch [6/25], Step [750/1289], Loss: 0.0917
|
||||
Fri, 16 Sep 2022 16:22:16: Epoch [6/25], Step [800/1289], Loss: 0.1075
|
||||
Fri, 16 Sep 2022 16:22:17: Epoch [6/25], Step [850/1289], Loss: 0.0784
|
||||
Fri, 16 Sep 2022 16:22:17: Epoch [6/25], Step [900/1289], Loss: 0.0721
|
||||
Fri, 16 Sep 2022 16:22:17: Epoch [6/25], Step [950/1289], Loss: 0.0669
|
||||
Fri, 16 Sep 2022 16:22:17: Epoch [6/25], Step [1000/1289], Loss: 0.0287
|
||||
Fri, 16 Sep 2022 16:22:18: Epoch [6/25], Step [1050/1289], Loss: 0.0266
|
||||
Fri, 16 Sep 2022 16:22:18: Epoch [6/25], Step [1100/1289], Loss: 0.0403
|
||||
Fri, 16 Sep 2022 16:22:19: Epoch [6/25], Step [1150/1289], Loss: 0.1445
|
||||
Fri, 16 Sep 2022 16:22:19: Epoch [6/25], Step [1200/1289], Loss: 0.0830
|
||||
Fri, 16 Sep 2022 16:22:19: Epoch [6/25], Step [1250/1289], Loss: 0.0717
|
||||
Fri, 16 Sep 2022 16:22:20: Epoch [7/25], Step [50/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 16:22:20: Epoch [7/25], Step [100/1289], Loss: 0.0634
|
||||
Fri, 16 Sep 2022 16:22:20: Epoch [7/25], Step [150/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:22:21: Epoch [7/25], Step [200/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:22:21: Epoch [7/25], Step [250/1289], Loss: 0.0512
|
||||
Fri, 16 Sep 2022 16:22:21: Epoch [7/25], Step [300/1289], Loss: 0.0319
|
||||
Fri, 16 Sep 2022 16:22:22: Epoch [7/25], Step [350/1289], Loss: 0.1120
|
||||
Fri, 16 Sep 2022 16:22:22: Epoch [7/25], Step [400/1289], Loss: 0.0776
|
||||
Fri, 16 Sep 2022 16:22:23: Epoch [7/25], Step [450/1289], Loss: 0.0222
|
||||
Fri, 16 Sep 2022 16:22:23: Epoch [7/25], Step [500/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:22:23: Epoch [7/25], Step [550/1289], Loss: 0.0818
|
||||
Fri, 16 Sep 2022 16:22:24: Epoch [7/25], Step [600/1289], Loss: 0.0154
|
||||
Fri, 16 Sep 2022 16:22:24: Epoch [7/25], Step [650/1289], Loss: 0.1155
|
||||
Fri, 16 Sep 2022 16:22:24: Epoch [7/25], Step [700/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 16:22:25: Epoch [7/25], Step [750/1289], Loss: 0.0411
|
||||
Fri, 16 Sep 2022 16:22:25: Epoch [7/25], Step [800/1289], Loss: 0.0705
|
||||
Fri, 16 Sep 2022 16:22:25: Epoch [7/25], Step [850/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 16:22:26: Epoch [7/25], Step [900/1289], Loss: 0.1410
|
||||
Fri, 16 Sep 2022 16:22:26: Epoch [7/25], Step [950/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:22:26: Epoch [7/25], Step [1000/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:22:27: Epoch [7/25], Step [1050/1289], Loss: 0.0517
|
||||
Fri, 16 Sep 2022 16:22:27: Epoch [7/25], Step [1100/1289], Loss: 0.0062
|
||||
Fri, 16 Sep 2022 16:22:27: Epoch [7/25], Step [1150/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 16:22:28: Epoch [7/25], Step [1200/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:22:28: Epoch [7/25], Step [1250/1289], Loss: 0.0482
|
||||
Fri, 16 Sep 2022 16:22:29: Epoch [8/25], Step [50/1289], Loss: 0.0574
|
||||
Fri, 16 Sep 2022 16:22:29: Epoch [8/25], Step [100/1289], Loss: 0.0276
|
||||
Fri, 16 Sep 2022 16:22:29: Epoch [8/25], Step [150/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:22:30: Epoch [8/25], Step [200/1289], Loss: 0.0287
|
||||
Fri, 16 Sep 2022 16:22:30: Epoch [8/25], Step [250/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 16:22:30: Epoch [8/25], Step [300/1289], Loss: 0.0605
|
||||
Fri, 16 Sep 2022 16:22:31: Epoch [8/25], Step [350/1289], Loss: 0.0812
|
||||
Fri, 16 Sep 2022 16:22:31: Epoch [8/25], Step [400/1289], Loss: 0.0786
|
||||
Fri, 16 Sep 2022 16:22:31: Epoch [8/25], Step [450/1289], Loss: 0.0657
|
||||
Fri, 16 Sep 2022 16:22:31: Epoch [8/25], Step [500/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 16:22:32: Epoch [8/25], Step [550/1289], Loss: 0.1146
|
||||
Fri, 16 Sep 2022 16:22:32: Epoch [8/25], Step [600/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:22:32: Epoch [8/25], Step [650/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:22:33: Epoch [8/25], Step [700/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:22:33: Epoch [8/25], Step [750/1289], Loss: 0.0715
|
||||
Fri, 16 Sep 2022 16:22:33: Epoch [8/25], Step [800/1289], Loss: 0.0559
|
||||
Fri, 16 Sep 2022 16:22:34: Epoch [8/25], Step [850/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:22:34: Epoch [8/25], Step [900/1289], Loss: 0.1207
|
||||
Fri, 16 Sep 2022 16:22:34: Epoch [8/25], Step [950/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:22:35: Epoch [8/25], Step [1000/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 16:22:35: Epoch [8/25], Step [1050/1289], Loss: 0.0597
|
||||
Fri, 16 Sep 2022 16:22:35: Epoch [8/25], Step [1100/1289], Loss: 0.0700
|
||||
Fri, 16 Sep 2022 16:22:36: Epoch [8/25], Step [1150/1289], Loss: 0.0273
|
||||
Fri, 16 Sep 2022 16:22:36: Epoch [8/25], Step [1200/1289], Loss: 0.0460
|
||||
Fri, 16 Sep 2022 16:22:36: Epoch [8/25], Step [1250/1289], Loss: 0.0755
|
||||
Fri, 16 Sep 2022 16:22:37: Epoch [9/25], Step [50/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 16:22:37: Epoch [9/25], Step [100/1289], Loss: 0.0852
|
||||
Fri, 16 Sep 2022 16:22:38: Epoch [9/25], Step [150/1289], Loss: 0.0943
|
||||
Fri, 16 Sep 2022 16:22:38: Epoch [9/25], Step [200/1289], Loss: 0.1077
|
||||
Fri, 16 Sep 2022 16:22:38: Epoch [9/25], Step [250/1289], Loss: 0.0609
|
||||
Fri, 16 Sep 2022 16:22:39: Epoch [9/25], Step [300/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 16:22:39: Epoch [9/25], Step [350/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:22:39: Epoch [9/25], Step [400/1289], Loss: 0.0997
|
||||
Fri, 16 Sep 2022 16:22:40: Epoch [9/25], Step [450/1289], Loss: 0.0082
|
||||
Fri, 16 Sep 2022 16:22:40: Epoch [9/25], Step [500/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:22:40: Epoch [9/25], Step [550/1289], Loss: 0.0573
|
||||
Fri, 16 Sep 2022 16:22:41: Epoch [9/25], Step [600/1289], Loss: 0.0274
|
||||
Fri, 16 Sep 2022 16:22:41: Epoch [9/25], Step [650/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 16:22:41: Epoch [9/25], Step [700/1289], Loss: 0.0723
|
||||
Fri, 16 Sep 2022 16:22:42: Epoch [9/25], Step [750/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:22:42: Epoch [9/25], Step [800/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 16:22:42: Epoch [9/25], Step [850/1289], Loss: 0.0096
|
||||
Fri, 16 Sep 2022 16:22:43: Epoch [9/25], Step [900/1289], Loss: 0.0282
|
||||
Fri, 16 Sep 2022 16:22:43: Epoch [9/25], Step [950/1289], Loss: 0.0494
|
||||
Fri, 16 Sep 2022 16:22:43: Epoch [9/25], Step [1000/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 16:22:44: Epoch [9/25], Step [1050/1289], Loss: 0.0283
|
||||
Fri, 16 Sep 2022 16:22:44: Epoch [9/25], Step [1100/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:22:44: Epoch [9/25], Step [1150/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:22:45: Epoch [9/25], Step [1200/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:22:45: Epoch [9/25], Step [1250/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 16:22:45: Epoch [10/25], Step [50/1289], Loss: 0.0315
|
||||
Fri, 16 Sep 2022 16:22:46: Epoch [10/25], Step [100/1289], Loss: 0.0831
|
||||
Fri, 16 Sep 2022 16:22:46: Epoch [10/25], Step [150/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:22:46: Epoch [10/25], Step [200/1289], Loss: 0.0101
|
||||
Fri, 16 Sep 2022 16:22:47: Epoch [10/25], Step [250/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 16:22:47: Epoch [10/25], Step [300/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 16:22:47: Epoch [10/25], Step [350/1289], Loss: 0.0358
|
||||
Fri, 16 Sep 2022 16:22:48: Epoch [10/25], Step [400/1289], Loss: 0.0573
|
||||
Fri, 16 Sep 2022 16:22:48: Epoch [10/25], Step [450/1289], Loss: 0.0786
|
||||
Fri, 16 Sep 2022 16:22:48: Epoch [10/25], Step [500/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:22:49: Epoch [10/25], Step [550/1289], Loss: 0.0472
|
||||
Fri, 16 Sep 2022 16:22:49: Epoch [10/25], Step [600/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:22:49: Epoch [10/25], Step [650/1289], Loss: 0.0142
|
||||
Fri, 16 Sep 2022 16:22:50: Epoch [10/25], Step [700/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:22:50: Epoch [10/25], Step [750/1289], Loss: 0.1521
|
||||
Fri, 16 Sep 2022 16:22:50: Epoch [10/25], Step [800/1289], Loss: 0.0682
|
||||
Fri, 16 Sep 2022 16:22:51: Epoch [10/25], Step [850/1289], Loss: 0.0320
|
||||
Fri, 16 Sep 2022 16:22:51: Epoch [10/25], Step [900/1289], Loss: 0.0569
|
||||
Fri, 16 Sep 2022 16:22:51: Epoch [10/25], Step [950/1289], Loss: 0.0752
|
||||
Fri, 16 Sep 2022 16:22:52: Epoch [10/25], Step [1000/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:22:52: Epoch [10/25], Step [1050/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 16:22:52: Epoch [10/25], Step [1100/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 16:22:53: Epoch [10/25], Step [1150/1289], Loss: 0.1097
|
||||
Fri, 16 Sep 2022 16:22:53: Epoch [10/25], Step [1200/1289], Loss: 0.0599
|
||||
Fri, 16 Sep 2022 16:22:53: Epoch [10/25], Step [1250/1289], Loss: 0.0667
|
||||
Fri, 16 Sep 2022 16:22:54: Epoch [11/25], Step [50/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 16:22:54: Epoch [11/25], Step [100/1289], Loss: 0.0354
|
||||
Fri, 16 Sep 2022 16:22:54: Epoch [11/25], Step [150/1289], Loss: 0.0388
|
||||
Fri, 16 Sep 2022 16:22:55: Epoch [11/25], Step [200/1289], Loss: 0.0700
|
||||
Fri, 16 Sep 2022 16:22:55: Epoch [11/25], Step [250/1289], Loss: 0.0587
|
||||
Fri, 16 Sep 2022 16:22:56: Epoch [11/25], Step [300/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:22:56: Epoch [11/25], Step [350/1289], Loss: 0.0292
|
||||
Fri, 16 Sep 2022 16:22:56: Epoch [11/25], Step [400/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:22:57: Epoch [11/25], Step [450/1289], Loss: 0.0985
|
||||
Fri, 16 Sep 2022 16:22:57: Epoch [11/25], Step [500/1289], Loss: 0.1047
|
||||
Fri, 16 Sep 2022 16:22:57: Epoch [11/25], Step [550/1289], Loss: 0.0422
|
||||
Fri, 16 Sep 2022 16:22:57: Epoch [11/25], Step [600/1289], Loss: 0.0887
|
||||
Fri, 16 Sep 2022 16:22:58: Epoch [11/25], Step [650/1289], Loss: 0.0730
|
||||
Fri, 16 Sep 2022 16:22:58: Epoch [11/25], Step [700/1289], Loss: 0.0534
|
||||
Fri, 16 Sep 2022 16:22:58: Epoch [11/25], Step [750/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:22:59: Epoch [11/25], Step [800/1289], Loss: 0.0425
|
||||
Fri, 16 Sep 2022 16:22:59: Epoch [11/25], Step [850/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 16:22:59: Epoch [11/25], Step [900/1289], Loss: 0.0305
|
||||
Fri, 16 Sep 2022 16:23:00: Epoch [11/25], Step [950/1289], Loss: 0.0841
|
||||
Fri, 16 Sep 2022 16:23:00: Epoch [11/25], Step [1000/1289], Loss: 0.0610
|
||||
Fri, 16 Sep 2022 16:23:00: Epoch [11/25], Step [1050/1289], Loss: 0.0346
|
||||
Fri, 16 Sep 2022 16:23:01: Epoch [11/25], Step [1100/1289], Loss: 0.1253
|
||||
Fri, 16 Sep 2022 16:23:01: Epoch [11/25], Step [1150/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:23:02: Epoch [11/25], Step [1200/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:23:02: Epoch [11/25], Step [1250/1289], Loss: 0.1142
|
||||
Fri, 16 Sep 2022 16:23:02: Epoch [12/25], Step [50/1289], Loss: 0.0532
|
||||
Fri, 16 Sep 2022 16:23:03: Epoch [12/25], Step [100/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:23:03: Epoch [12/25], Step [150/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 16:23:03: Epoch [12/25], Step [200/1289], Loss: 0.0299
|
||||
Fri, 16 Sep 2022 16:23:04: Epoch [12/25], Step [250/1289], Loss: 0.0790
|
||||
Fri, 16 Sep 2022 16:23:04: Epoch [12/25], Step [300/1289], Loss: 0.0160
|
||||
Fri, 16 Sep 2022 16:23:04: Epoch [12/25], Step [350/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 16:23:05: Epoch [12/25], Step [400/1289], Loss: 0.0523
|
||||
Fri, 16 Sep 2022 16:23:05: Epoch [12/25], Step [450/1289], Loss: 0.1738
|
||||
Fri, 16 Sep 2022 16:23:05: Epoch [12/25], Step [500/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:23:06: Epoch [12/25], Step [550/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:23:06: Epoch [12/25], Step [600/1289], Loss: 0.0094
|
||||
Fri, 16 Sep 2022 16:23:06: Epoch [12/25], Step [650/1289], Loss: 0.0883
|
||||
Fri, 16 Sep 2022 16:23:07: Epoch [12/25], Step [700/1289], Loss: 0.0508
|
||||
Fri, 16 Sep 2022 16:23:07: Epoch [12/25], Step [750/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 16:23:07: Epoch [12/25], Step [800/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 16:23:08: Epoch [12/25], Step [850/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:23:08: Epoch [12/25], Step [900/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:23:08: Epoch [12/25], Step [950/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:23:09: Epoch [12/25], Step [1000/1289], Loss: 0.0310
|
||||
Fri, 16 Sep 2022 16:23:09: Epoch [12/25], Step [1050/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:23:09: Epoch [12/25], Step [1100/1289], Loss: 0.0727
|
||||
Fri, 16 Sep 2022 16:23:10: Epoch [12/25], Step [1150/1289], Loss: 0.0257
|
||||
Fri, 16 Sep 2022 16:23:10: Epoch [12/25], Step [1200/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 16:23:10: Epoch [12/25], Step [1250/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 16:23:11: Epoch [13/25], Step [50/1289], Loss: 0.0632
|
||||
Fri, 16 Sep 2022 16:23:11: Epoch [13/25], Step [100/1289], Loss: 0.0590
|
||||
Fri, 16 Sep 2022 16:23:11: Epoch [13/25], Step [150/1289], Loss: 0.1031
|
||||
Fri, 16 Sep 2022 16:23:12: Epoch [13/25], Step [200/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 16:23:12: Epoch [13/25], Step [250/1289], Loss: 0.0358
|
||||
Fri, 16 Sep 2022 16:23:12: Epoch [13/25], Step [300/1289], Loss: 0.0806
|
||||
Fri, 16 Sep 2022 16:23:13: Epoch [13/25], Step [350/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:23:13: Epoch [13/25], Step [400/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:23:13: Epoch [13/25], Step [450/1289], Loss: 0.0872
|
||||
Fri, 16 Sep 2022 16:23:14: Epoch [13/25], Step [500/1289], Loss: 0.0136
|
||||
Fri, 16 Sep 2022 16:23:14: Epoch [13/25], Step [550/1289], Loss: 0.0577
|
||||
Fri, 16 Sep 2022 16:23:14: Epoch [13/25], Step [600/1289], Loss: 0.0430
|
||||
Fri, 16 Sep 2022 16:23:15: Epoch [13/25], Step [650/1289], Loss: 0.0285
|
||||
Fri, 16 Sep 2022 16:23:15: Epoch [13/25], Step [700/1289], Loss: 0.0961
|
||||
Fri, 16 Sep 2022 16:23:15: Epoch [13/25], Step [750/1289], Loss: 0.0509
|
||||
Fri, 16 Sep 2022 16:23:16: Epoch [13/25], Step [800/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 16:23:16: Epoch [13/25], Step [850/1289], Loss: 0.0703
|
||||
Fri, 16 Sep 2022 16:23:16: Epoch [13/25], Step [900/1289], Loss: 0.0286
|
||||
Fri, 16 Sep 2022 16:23:17: Epoch [13/25], Step [950/1289], Loss: 0.0085
|
||||
Fri, 16 Sep 2022 16:23:17: Epoch [13/25], Step [1000/1289], Loss: 0.0829
|
||||
Fri, 16 Sep 2022 16:23:17: Epoch [13/25], Step [1050/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 16:23:18: Epoch [13/25], Step [1100/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 16:23:18: Epoch [13/25], Step [1150/1289], Loss: 0.0069
|
||||
Fri, 16 Sep 2022 16:23:18: Epoch [13/25], Step [1200/1289], Loss: 0.0589
|
||||
Fri, 16 Sep 2022 16:23:19: Epoch [13/25], Step [1250/1289], Loss: 0.0083
|
||||
Fri, 16 Sep 2022 16:23:19: Epoch [14/25], Step [50/1289], Loss: 0.1265
|
||||
Fri, 16 Sep 2022 16:23:20: Epoch [14/25], Step [100/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:23:20: Epoch [14/25], Step [150/1289], Loss: 0.0472
|
||||
Fri, 16 Sep 2022 16:23:20: Epoch [14/25], Step [200/1289], Loss: 0.0252
|
||||
Fri, 16 Sep 2022 16:23:21: Epoch [14/25], Step [250/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 16:23:21: Epoch [14/25], Step [300/1289], Loss: 0.0237
|
||||
Fri, 16 Sep 2022 16:23:21: Epoch [14/25], Step [350/1289], Loss: 0.0691
|
||||
Fri, 16 Sep 2022 16:23:22: Epoch [14/25], Step [400/1289], Loss: 0.0513
|
||||
Fri, 16 Sep 2022 16:23:22: Epoch [14/25], Step [450/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:23:22: Epoch [14/25], Step [500/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:23:23: Epoch [14/25], Step [550/1289], Loss: 0.0585
|
||||
Fri, 16 Sep 2022 16:23:23: Epoch [14/25], Step [600/1289], Loss: 0.0193
|
||||
Fri, 16 Sep 2022 16:23:23: Epoch [14/25], Step [650/1289], Loss: 0.0633
|
||||
Fri, 16 Sep 2022 16:23:24: Epoch [14/25], Step [700/1289], Loss: 0.0253
|
||||
Fri, 16 Sep 2022 16:23:24: Epoch [14/25], Step [750/1289], Loss: 0.0381
|
||||
Fri, 16 Sep 2022 16:23:24: Epoch [14/25], Step [800/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 16:23:24: Epoch [14/25], Step [850/1289], Loss: 0.0353
|
||||
Fri, 16 Sep 2022 16:23:25: Epoch [14/25], Step [900/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:23:25: Epoch [14/25], Step [950/1289], Loss: 0.0671
|
||||
Fri, 16 Sep 2022 16:23:25: Epoch [14/25], Step [1000/1289], Loss: 0.0778
|
||||
Fri, 16 Sep 2022 16:23:26: Epoch [14/25], Step [1050/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 16:23:26: Epoch [14/25], Step [1100/1289], Loss: 0.0356
|
||||
Fri, 16 Sep 2022 16:23:26: Epoch [14/25], Step [1150/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 16:23:27: Epoch [14/25], Step [1200/1289], Loss: 0.0076
|
||||
Fri, 16 Sep 2022 16:23:27: Epoch [14/25], Step [1250/1289], Loss: 0.0450
|
||||
Fri, 16 Sep 2022 16:23:28: Epoch [15/25], Step [50/1289], Loss: 0.0194
|
||||
Fri, 16 Sep 2022 16:23:28: Epoch [15/25], Step [100/1289], Loss: 0.0089
|
||||
Fri, 16 Sep 2022 16:23:28: Epoch [15/25], Step [150/1289], Loss: 0.0246
|
||||
Fri, 16 Sep 2022 16:23:29: Epoch [15/25], Step [200/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:23:29: Epoch [15/25], Step [250/1289], Loss: 0.0698
|
||||
Fri, 16 Sep 2022 16:23:29: Epoch [15/25], Step [300/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 16:23:30: Epoch [15/25], Step [350/1289], Loss: 0.0783
|
||||
Fri, 16 Sep 2022 16:23:30: Epoch [15/25], Step [400/1289], Loss: 0.0186
|
||||
Fri, 16 Sep 2022 16:23:30: Epoch [15/25], Step [450/1289], Loss: 0.0819
|
||||
Fri, 16 Sep 2022 16:23:31: Epoch [15/25], Step [500/1289], Loss: 0.0769
|
||||
Fri, 16 Sep 2022 16:23:31: Epoch [15/25], Step [550/1289], Loss: 0.0423
|
||||
Fri, 16 Sep 2022 16:23:31: Epoch [15/25], Step [600/1289], Loss: 0.0508
|
||||
Fri, 16 Sep 2022 16:23:32: Epoch [15/25], Step [650/1289], Loss: 0.0389
|
||||
Fri, 16 Sep 2022 16:23:32: Epoch [15/25], Step [700/1289], Loss: 0.0609
|
||||
Fri, 16 Sep 2022 16:23:32: Epoch [15/25], Step [750/1289], Loss: 0.0190
|
||||
Fri, 16 Sep 2022 16:23:33: Epoch [15/25], Step [800/1289], Loss: 0.0268
|
||||
Fri, 16 Sep 2022 16:23:33: Epoch [15/25], Step [850/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 16:23:33: Epoch [15/25], Step [900/1289], Loss: 0.0229
|
||||
Fri, 16 Sep 2022 16:23:34: Epoch [15/25], Step [950/1289], Loss: 0.0322
|
||||
Fri, 16 Sep 2022 16:23:34: Epoch [15/25], Step [1000/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:23:34: Epoch [15/25], Step [1050/1289], Loss: 0.0768
|
||||
Fri, 16 Sep 2022 16:23:35: Epoch [15/25], Step [1100/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:23:35: Epoch [15/25], Step [1150/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:23:35: Epoch [15/25], Step [1200/1289], Loss: 0.0153
|
||||
Fri, 16 Sep 2022 16:23:36: Epoch [15/25], Step [1250/1289], Loss: 0.0971
|
||||
Fri, 16 Sep 2022 16:23:36: Epoch [16/25], Step [50/1289], Loss: 0.0735
|
||||
Fri, 16 Sep 2022 16:23:37: Epoch [16/25], Step [100/1289], Loss: 0.0316
|
||||
Fri, 16 Sep 2022 16:23:37: Epoch [16/25], Step [150/1289], Loss: 0.0603
|
||||
Fri, 16 Sep 2022 16:23:37: Epoch [16/25], Step [200/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 16:23:38: Epoch [16/25], Step [250/1289], Loss: 0.0525
|
||||
Fri, 16 Sep 2022 16:23:38: Epoch [16/25], Step [300/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 16:23:38: Epoch [16/25], Step [350/1289], Loss: 0.0628
|
||||
Fri, 16 Sep 2022 16:23:39: Epoch [16/25], Step [400/1289], Loss: 0.0368
|
||||
Fri, 16 Sep 2022 16:23:39: Epoch [16/25], Step [450/1289], Loss: 0.0511
|
||||
Fri, 16 Sep 2022 16:23:39: Epoch [16/25], Step [500/1289], Loss: 0.0227
|
||||
Fri, 16 Sep 2022 16:23:40: Epoch [16/25], Step [550/1289], Loss: 0.0928
|
||||
Fri, 16 Sep 2022 16:23:40: Epoch [16/25], Step [600/1289], Loss: 0.0329
|
||||
Fri, 16 Sep 2022 16:23:40: Epoch [16/25], Step [650/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 16:23:41: Epoch [16/25], Step [700/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:23:41: Epoch [16/25], Step [750/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:23:41: Epoch [16/25], Step [800/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:23:42: Epoch [16/25], Step [850/1289], Loss: 0.0056
|
||||
Fri, 16 Sep 2022 16:23:42: Epoch [16/25], Step [900/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:23:42: Epoch [16/25], Step [950/1289], Loss: 0.0317
|
||||
Fri, 16 Sep 2022 16:23:43: Epoch [16/25], Step [1000/1289], Loss: 0.0589
|
||||
Fri, 16 Sep 2022 16:23:43: Epoch [16/25], Step [1050/1289], Loss: 0.0216
|
||||
Fri, 16 Sep 2022 16:23:43: Epoch [16/25], Step [1100/1289], Loss: 0.0086
|
||||
Fri, 16 Sep 2022 16:23:44: Epoch [16/25], Step [1150/1289], Loss: 0.0817
|
||||
Fri, 16 Sep 2022 16:23:44: Epoch [16/25], Step [1200/1289], Loss: 0.0761
|
||||
Fri, 16 Sep 2022 16:23:44: Epoch [16/25], Step [1250/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:23:45: Epoch [17/25], Step [50/1289], Loss: 0.0859
|
||||
Fri, 16 Sep 2022 16:23:45: Epoch [17/25], Step [100/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 16:23:46: Epoch [17/25], Step [150/1289], Loss: 0.0623
|
||||
Fri, 16 Sep 2022 16:23:46: Epoch [17/25], Step [200/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 16:23:46: Epoch [17/25], Step [250/1289], Loss: 0.0887
|
||||
Fri, 16 Sep 2022 16:23:47: Epoch [17/25], Step [300/1289], Loss: 0.0300
|
||||
Fri, 16 Sep 2022 16:23:47: Epoch [17/25], Step [350/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 16:23:47: Epoch [17/25], Step [400/1289], Loss: 0.0583
|
||||
Fri, 16 Sep 2022 16:23:48: Epoch [17/25], Step [450/1289], Loss: 0.0058
|
||||
Fri, 16 Sep 2022 16:23:48: Epoch [17/25], Step [500/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 16:23:48: Epoch [17/25], Step [550/1289], Loss: 0.0650
|
||||
Fri, 16 Sep 2022 16:23:48: Epoch [17/25], Step [600/1289], Loss: 0.0527
|
||||
Fri, 16 Sep 2022 16:23:49: Epoch [17/25], Step [650/1289], Loss: 0.1030
|
||||
Fri, 16 Sep 2022 16:23:49: Epoch [17/25], Step [700/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:23:49: Epoch [17/25], Step [750/1289], Loss: 0.0191
|
||||
Fri, 16 Sep 2022 16:23:50: Epoch [17/25], Step [800/1289], Loss: 0.0404
|
||||
Fri, 16 Sep 2022 16:23:50: Epoch [17/25], Step [850/1289], Loss: 0.0499
|
||||
Fri, 16 Sep 2022 16:23:50: Epoch [17/25], Step [900/1289], Loss: 0.0344
|
||||
Fri, 16 Sep 2022 16:23:51: Epoch [17/25], Step [950/1289], Loss: 0.0654
|
||||
Fri, 16 Sep 2022 16:23:51: Epoch [17/25], Step [1000/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:23:51: Epoch [17/25], Step [1050/1289], Loss: 0.1135
|
||||
Fri, 16 Sep 2022 16:23:52: Epoch [17/25], Step [1100/1289], Loss: 0.0475
|
||||
Fri, 16 Sep 2022 16:23:52: Epoch [17/25], Step [1150/1289], Loss: 0.0358
|
||||
Fri, 16 Sep 2022 16:23:52: Epoch [17/25], Step [1200/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 16:23:53: Epoch [17/25], Step [1250/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 16:23:53: Epoch [18/25], Step [50/1289], Loss: 0.0400
|
||||
Fri, 16 Sep 2022 16:23:54: Epoch [18/25], Step [100/1289], Loss: 0.0786
|
||||
Fri, 16 Sep 2022 16:23:54: Epoch [18/25], Step [150/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:23:54: Epoch [18/25], Step [200/1289], Loss: 0.0875
|
||||
Fri, 16 Sep 2022 16:23:55: Epoch [18/25], Step [250/1289], Loss: 0.0762
|
||||
Fri, 16 Sep 2022 16:23:55: Epoch [18/25], Step [300/1289], Loss: 0.0464
|
||||
Fri, 16 Sep 2022 16:23:55: Epoch [18/25], Step [350/1289], Loss: 0.1057
|
||||
Fri, 16 Sep 2022 16:23:56: Epoch [18/25], Step [400/1289], Loss: 0.0364
|
||||
Fri, 16 Sep 2022 16:23:56: Epoch [18/25], Step [450/1289], Loss: 0.0635
|
||||
Fri, 16 Sep 2022 16:23:56: Epoch [18/25], Step [500/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:23:57: Epoch [18/25], Step [550/1289], Loss: 0.0906
|
||||
Fri, 16 Sep 2022 16:23:57: Epoch [18/25], Step [600/1289], Loss: 0.1124
|
||||
Fri, 16 Sep 2022 16:23:57: Epoch [18/25], Step [650/1289], Loss: 0.0034
|
||||
Fri, 16 Sep 2022 16:23:58: Epoch [18/25], Step [700/1289], Loss: 0.1184
|
||||
Fri, 16 Sep 2022 16:23:58: Epoch [18/25], Step [750/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 16:23:58: Epoch [18/25], Step [800/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:23:59: Epoch [18/25], Step [850/1289], Loss: 0.0471
|
||||
Fri, 16 Sep 2022 16:23:59: Epoch [18/25], Step [900/1289], Loss: 0.0591
|
||||
Fri, 16 Sep 2022 16:23:59: Epoch [18/25], Step [950/1289], Loss: 0.0057
|
||||
Fri, 16 Sep 2022 16:23:59: Epoch [18/25], Step [1000/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:24:00: Epoch [18/25], Step [1050/1289], Loss: 0.0139
|
||||
Fri, 16 Sep 2022 16:24:00: Epoch [18/25], Step [1100/1289], Loss: 0.0278
|
||||
Fri, 16 Sep 2022 16:24:01: Epoch [18/25], Step [1150/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 16:24:01: Epoch [18/25], Step [1200/1289], Loss: 0.0056
|
||||
Fri, 16 Sep 2022 16:24:01: Epoch [18/25], Step [1250/1289], Loss: 0.0337
|
||||
Fri, 16 Sep 2022 16:24:02: Epoch [19/25], Step [50/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 16:24:02: Epoch [19/25], Step [100/1289], Loss: 0.0594
|
||||
Fri, 16 Sep 2022 16:24:02: Epoch [19/25], Step [150/1289], Loss: 0.0540
|
||||
Fri, 16 Sep 2022 16:24:03: Epoch [19/25], Step [200/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:24:03: Epoch [19/25], Step [250/1289], Loss: 0.0210
|
||||
Fri, 16 Sep 2022 16:24:03: Epoch [19/25], Step [300/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 16:24:04: Epoch [19/25], Step [350/1289], Loss: 0.0695
|
||||
Fri, 16 Sep 2022 16:24:04: Epoch [19/25], Step [400/1289], Loss: 0.0395
|
||||
Fri, 16 Sep 2022 16:24:04: Epoch [19/25], Step [450/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:24:05: Epoch [19/25], Step [500/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:24:05: Epoch [19/25], Step [550/1289], Loss: 0.0230
|
||||
Fri, 16 Sep 2022 16:24:05: Epoch [19/25], Step [600/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:24:06: Epoch [19/25], Step [650/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 16:24:06: Epoch [19/25], Step [700/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 16:24:06: Epoch [19/25], Step [750/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 16:24:07: Epoch [19/25], Step [800/1289], Loss: 0.0609
|
||||
Fri, 16 Sep 2022 16:24:07: Epoch [19/25], Step [850/1289], Loss: 0.0541
|
||||
Fri, 16 Sep 2022 16:24:07: Epoch [19/25], Step [900/1289], Loss: 0.0251
|
||||
Fri, 16 Sep 2022 16:24:08: Epoch [19/25], Step [950/1289], Loss: 0.0166
|
||||
Fri, 16 Sep 2022 16:24:08: Epoch [19/25], Step [1000/1289], Loss: 0.1003
|
||||
Fri, 16 Sep 2022 16:24:08: Epoch [19/25], Step [1050/1289], Loss: 0.0128
|
||||
Fri, 16 Sep 2022 16:24:09: Epoch [19/25], Step [1100/1289], Loss: 0.1115
|
||||
Fri, 16 Sep 2022 16:24:09: Epoch [19/25], Step [1150/1289], Loss: 0.0641
|
||||
Fri, 16 Sep 2022 16:24:09: Epoch [19/25], Step [1200/1289], Loss: 0.0277
|
||||
Fri, 16 Sep 2022 16:24:10: Epoch [19/25], Step [1250/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 16:24:10: Epoch [20/25], Step [50/1289], Loss: 0.0476
|
||||
Fri, 16 Sep 2022 16:24:11: Epoch [20/25], Step [100/1289], Loss: 0.0716
|
||||
Fri, 16 Sep 2022 16:24:11: Epoch [20/25], Step [150/1289], Loss: 0.0492
|
||||
Fri, 16 Sep 2022 16:24:11: Epoch [20/25], Step [200/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:24:12: Epoch [20/25], Step [250/1289], Loss: 0.0419
|
||||
Fri, 16 Sep 2022 16:24:12: Epoch [20/25], Step [300/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:24:12: Epoch [20/25], Step [350/1289], Loss: 0.0112
|
||||
Fri, 16 Sep 2022 16:24:12: Epoch [20/25], Step [400/1289], Loss: 0.0101
|
||||
Fri, 16 Sep 2022 16:24:13: Epoch [20/25], Step [450/1289], Loss: 0.0320
|
||||
Fri, 16 Sep 2022 16:24:13: Epoch [20/25], Step [500/1289], Loss: 0.1577
|
||||
Fri, 16 Sep 2022 16:24:13: Epoch [20/25], Step [550/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:24:14: Epoch [20/25], Step [600/1289], Loss: 0.0763
|
||||
Fri, 16 Sep 2022 16:24:14: Epoch [20/25], Step [650/1289], Loss: 0.1178
|
||||
Fri, 16 Sep 2022 16:24:14: Epoch [20/25], Step [700/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:24:15: Epoch [20/25], Step [750/1289], Loss: 0.0975
|
||||
Fri, 16 Sep 2022 16:24:15: Epoch [20/25], Step [800/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 16:24:15: Epoch [20/25], Step [850/1289], Loss: 0.0159
|
||||
Fri, 16 Sep 2022 16:24:16: Epoch [20/25], Step [900/1289], Loss: 0.0377
|
||||
Fri, 16 Sep 2022 16:24:16: Epoch [20/25], Step [950/1289], Loss: 0.0987
|
||||
Fri, 16 Sep 2022 16:24:16: Epoch [20/25], Step [1000/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:24:17: Epoch [20/25], Step [1050/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:24:17: Epoch [20/25], Step [1100/1289], Loss: 0.0049
|
||||
Fri, 16 Sep 2022 16:24:17: Epoch [20/25], Step [1150/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:24:18: Epoch [20/25], Step [1200/1289], Loss: 0.0345
|
||||
Fri, 16 Sep 2022 16:24:18: Epoch [20/25], Step [1250/1289], Loss: 0.0318
|
||||
Fri, 16 Sep 2022 16:24:19: Epoch [21/25], Step [50/1289], Loss: 0.1872
|
||||
Fri, 16 Sep 2022 16:24:19: Epoch [21/25], Step [100/1289], Loss: 0.0063
|
||||
Fri, 16 Sep 2022 16:24:19: Epoch [21/25], Step [150/1289], Loss: 0.0648
|
||||
Fri, 16 Sep 2022 16:24:20: Epoch [21/25], Step [200/1289], Loss: 0.0248
|
||||
Fri, 16 Sep 2022 16:24:20: Epoch [21/25], Step [250/1289], Loss: 0.1430
|
||||
Fri, 16 Sep 2022 16:24:20: Epoch [21/25], Step [300/1289], Loss: 0.0023
|
||||
Fri, 16 Sep 2022 16:24:21: Epoch [21/25], Step [350/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:24:21: Epoch [21/25], Step [400/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:24:21: Epoch [21/25], Step [450/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:24:22: Epoch [21/25], Step [500/1289], Loss: 0.0234
|
||||
Fri, 16 Sep 2022 16:24:22: Epoch [21/25], Step [550/1289], Loss: 0.1422
|
||||
Fri, 16 Sep 2022 16:24:22: Epoch [21/25], Step [600/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 16:24:22: Epoch [21/25], Step [650/1289], Loss: 0.0953
|
||||
Fri, 16 Sep 2022 16:24:23: Epoch [21/25], Step [700/1289], Loss: 0.0616
|
||||
Fri, 16 Sep 2022 16:24:23: Epoch [21/25], Step [750/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:24:23: Epoch [21/25], Step [800/1289], Loss: 0.0179
|
||||
Fri, 16 Sep 2022 16:24:24: Epoch [21/25], Step [850/1289], Loss: 0.0114
|
||||
Fri, 16 Sep 2022 16:24:24: Epoch [21/25], Step [900/1289], Loss: 0.0578
|
||||
Fri, 16 Sep 2022 16:24:24: Epoch [21/25], Step [950/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:24:25: Epoch [21/25], Step [1000/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 16:24:25: Epoch [21/25], Step [1050/1289], Loss: 0.0431
|
||||
Fri, 16 Sep 2022 16:24:25: Epoch [21/25], Step [1100/1289], Loss: 0.0351
|
||||
Fri, 16 Sep 2022 16:24:26: Epoch [21/25], Step [1150/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:24:26: Epoch [21/25], Step [1200/1289], Loss: 0.0281
|
||||
Fri, 16 Sep 2022 16:24:26: Epoch [21/25], Step [1250/1289], Loss: 0.0236
|
||||
Fri, 16 Sep 2022 16:24:27: Epoch [22/25], Step [50/1289], Loss: 0.0106
|
||||
Fri, 16 Sep 2022 16:24:27: Epoch [22/25], Step [100/1289], Loss: 0.0332
|
||||
Fri, 16 Sep 2022 16:24:28: Epoch [22/25], Step [150/1289], Loss: 0.0684
|
||||
Fri, 16 Sep 2022 16:24:28: Epoch [22/25], Step [200/1289], Loss: 0.0246
|
||||
Fri, 16 Sep 2022 16:24:28: Epoch [22/25], Step [250/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:24:29: Epoch [22/25], Step [300/1289], Loss: 0.0053
|
||||
Fri, 16 Sep 2022 16:24:29: Epoch [22/25], Step [350/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:24:29: Epoch [22/25], Step [400/1289], Loss: 0.0057
|
||||
Fri, 16 Sep 2022 16:24:30: Epoch [22/25], Step [450/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:24:30: Epoch [22/25], Step [500/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 16:24:30: Epoch [22/25], Step [550/1289], Loss: 0.0980
|
||||
Fri, 16 Sep 2022 16:24:31: Epoch [22/25], Step [600/1289], Loss: 0.0041
|
||||
Fri, 16 Sep 2022 16:24:31: Epoch [22/25], Step [650/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 16:24:31: Epoch [22/25], Step [700/1289], Loss: 0.0383
|
||||
Fri, 16 Sep 2022 16:24:32: Epoch [22/25], Step [750/1289], Loss: 0.0249
|
||||
Fri, 16 Sep 2022 16:24:32: Epoch [22/25], Step [800/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:24:32: Epoch [22/25], Step [850/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:24:33: Epoch [22/25], Step [900/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:24:33: Epoch [22/25], Step [950/1289], Loss: 0.0714
|
||||
Fri, 16 Sep 2022 16:24:33: Epoch [22/25], Step [1000/1289], Loss: 0.0096
|
||||
Fri, 16 Sep 2022 16:24:33: Epoch [22/25], Step [1050/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:24:34: Epoch [22/25], Step [1100/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:24:34: Epoch [22/25], Step [1150/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:24:34: Epoch [22/25], Step [1200/1289], Loss: 0.0527
|
||||
Fri, 16 Sep 2022 16:24:35: Epoch [22/25], Step [1250/1289], Loss: 0.1153
|
||||
Fri, 16 Sep 2022 16:24:35: Epoch [23/25], Step [50/1289], Loss: 0.0035
|
||||
Fri, 16 Sep 2022 16:24:36: Epoch [23/25], Step [100/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:24:36: Epoch [23/25], Step [150/1289], Loss: 0.0851
|
||||
Fri, 16 Sep 2022 16:24:36: Epoch [23/25], Step [200/1289], Loss: 0.0333
|
||||
Fri, 16 Sep 2022 16:24:37: Epoch [23/25], Step [250/1289], Loss: 0.0912
|
||||
Fri, 16 Sep 2022 16:24:37: Epoch [23/25], Step [300/1289], Loss: 0.0997
|
||||
Fri, 16 Sep 2022 16:24:37: Epoch [23/25], Step [350/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:24:38: Epoch [23/25], Step [400/1289], Loss: 0.0090
|
||||
Fri, 16 Sep 2022 16:24:38: Epoch [23/25], Step [450/1289], Loss: 0.0184
|
||||
Fri, 16 Sep 2022 16:24:38: Epoch [23/25], Step [500/1289], Loss: 0.0104
|
||||
Fri, 16 Sep 2022 16:24:39: Epoch [23/25], Step [550/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:24:39: Epoch [23/25], Step [600/1289], Loss: 0.0049
|
||||
Fri, 16 Sep 2022 16:24:39: Epoch [23/25], Step [650/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:24:40: Epoch [23/25], Step [700/1289], Loss: 0.1353
|
||||
Fri, 16 Sep 2022 16:24:40: Epoch [23/25], Step [750/1289], Loss: 0.0297
|
||||
Fri, 16 Sep 2022 16:24:40: Epoch [23/25], Step [800/1289], Loss: 0.0381
|
||||
Fri, 16 Sep 2022 16:24:41: Epoch [23/25], Step [850/1289], Loss: 0.0602
|
||||
Fri, 16 Sep 2022 16:24:41: Epoch [23/25], Step [900/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:24:41: Epoch [23/25], Step [950/1289], Loss: 0.0183
|
||||
Fri, 16 Sep 2022 16:24:42: Epoch [23/25], Step [1000/1289], Loss: 0.0070
|
||||
Fri, 16 Sep 2022 16:24:42: Epoch [23/25], Step [1050/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 16:24:42: Epoch [23/25], Step [1100/1289], Loss: 0.0056
|
||||
Fri, 16 Sep 2022 16:24:43: Epoch [23/25], Step [1150/1289], Loss: 0.0226
|
||||
Fri, 16 Sep 2022 16:24:43: Epoch [23/25], Step [1200/1289], Loss: 0.0075
|
||||
Fri, 16 Sep 2022 16:24:43: Epoch [23/25], Step [1250/1289], Loss: 0.0256
|
||||
Fri, 16 Sep 2022 16:24:44: Epoch [24/25], Step [50/1289], Loss: 0.0141
|
||||
Fri, 16 Sep 2022 16:24:44: Epoch [24/25], Step [100/1289], Loss: 0.0173
|
||||
Fri, 16 Sep 2022 16:24:44: Epoch [24/25], Step [150/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:24:45: Epoch [24/25], Step [200/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:24:45: Epoch [24/25], Step [250/1289], Loss: 0.0675
|
||||
Fri, 16 Sep 2022 16:24:45: Epoch [24/25], Step [300/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 16:24:46: Epoch [24/25], Step [350/1289], Loss: 0.0088
|
||||
Fri, 16 Sep 2022 16:24:46: Epoch [24/25], Step [400/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 16:24:46: Epoch [24/25], Step [450/1289], Loss: 0.0443
|
||||
Fri, 16 Sep 2022 16:24:47: Epoch [24/25], Step [500/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 16:24:47: Epoch [24/25], Step [550/1289], Loss: 0.0406
|
||||
Fri, 16 Sep 2022 16:24:47: Epoch [24/25], Step [600/1289], Loss: 0.0161
|
||||
Fri, 16 Sep 2022 16:24:48: Epoch [24/25], Step [650/1289], Loss: 0.0975
|
||||
Fri, 16 Sep 2022 16:24:48: Epoch [24/25], Step [700/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:24:48: Epoch [24/25], Step [750/1289], Loss: 0.0064
|
||||
Fri, 16 Sep 2022 16:24:49: Epoch [24/25], Step [800/1289], Loss: 0.0177
|
||||
Fri, 16 Sep 2022 16:24:49: Epoch [24/25], Step [850/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 16:24:49: Epoch [24/25], Step [900/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 16:24:50: Epoch [24/25], Step [950/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:24:50: Epoch [24/25], Step [1000/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:24:50: Epoch [24/25], Step [1050/1289], Loss: 0.0203
|
||||
Fri, 16 Sep 2022 16:24:51: Epoch [24/25], Step [1100/1289], Loss: 0.0241
|
||||
Fri, 16 Sep 2022 16:24:51: Epoch [24/25], Step [1150/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 16:24:51: Epoch [24/25], Step [1200/1289], Loss: 0.0074
|
||||
Fri, 16 Sep 2022 16:24:52: Epoch [24/25], Step [1250/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:24:52: Epoch [25/25], Step [50/1289], Loss: 0.0815
|
||||
Fri, 16 Sep 2022 16:24:53: Epoch [25/25], Step [100/1289], Loss: 0.0051
|
||||
Fri, 16 Sep 2022 16:24:53: Epoch [25/25], Step [150/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:24:53: Epoch [25/25], Step [200/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:24:54: Epoch [25/25], Step [250/1289], Loss: 0.0193
|
||||
Fri, 16 Sep 2022 16:24:54: Epoch [25/25], Step [300/1289], Loss: 0.0461
|
||||
Fri, 16 Sep 2022 16:24:54: Epoch [25/25], Step [350/1289], Loss: 0.0063
|
||||
Fri, 16 Sep 2022 16:24:55: Epoch [25/25], Step [400/1289], Loss: 0.0095
|
||||
Fri, 16 Sep 2022 16:24:55: Epoch [25/25], Step [450/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:24:55: Epoch [25/25], Step [500/1289], Loss: 0.0627
|
||||
Fri, 16 Sep 2022 16:24:56: Epoch [25/25], Step [550/1289], Loss: 0.0174
|
||||
Fri, 16 Sep 2022 16:24:56: Epoch [25/25], Step [600/1289], Loss: 0.0705
|
||||
Fri, 16 Sep 2022 16:24:56: Epoch [25/25], Step [650/1289], Loss: 0.0524
|
||||
Fri, 16 Sep 2022 16:24:56: Epoch [25/25], Step [700/1289], Loss: 0.0464
|
||||
Fri, 16 Sep 2022 16:24:57: Epoch [25/25], Step [750/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:24:57: Epoch [25/25], Step [800/1289], Loss: 0.0325
|
||||
Fri, 16 Sep 2022 16:24:57: Epoch [25/25], Step [850/1289], Loss: 0.0162
|
||||
Fri, 16 Sep 2022 16:24:58: Epoch [25/25], Step [900/1289], Loss: 0.0484
|
||||
Fri, 16 Sep 2022 16:24:58: Epoch [25/25], Step [950/1289], Loss: 0.0199
|
||||
Fri, 16 Sep 2022 16:24:58: Epoch [25/25], Step [1000/1289], Loss: 0.0209
|
||||
Fri, 16 Sep 2022 16:24:59: Epoch [25/25], Step [1050/1289], Loss: 0.0366
|
||||
Fri, 16 Sep 2022 16:24:59: Epoch [25/25], Step [1100/1289], Loss: 0.0946
|
||||
Fri, 16 Sep 2022 16:24:59: Epoch [25/25], Step [1150/1289], Loss: 0.0113
|
||||
Fri, 16 Sep 2022 16:25:00: Epoch [25/25], Step [1200/1289], Loss: 0.1181
|
||||
Fri, 16 Sep 2022 16:25:00: Epoch [25/25], Step [1250/1289], Loss: 0.0330
|
||||
Fri, 16 Sep 2022 16:25:00: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:25:02: f1 :0.9647088964324602
|
||||
Fri, 16 Sep 2022 16:25:02:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9439 0.9909 0.9668 16202
|
||||
1 0.9903 0.9404 0.9647 16017
|
||||
|
||||
accuracy 0.9658 32219
|
||||
macro avg 0.9671 0.9657 0.9658 32219
|
||||
weighted avg 0.9670 0.9658 0.9658 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:25:02:
|
||||
[[16055 147]
|
||||
[ 955 15062]]
|
||||
Fri, 16 Sep 2022 16:25:02: high_num,high_true,high_false:5794,5310,484
|
||||
Fri, 16 Sep 2022 16:25:02: low_num,low_true,low_false:10223,9752,471
|
||||
@@ -0,0 +1,655 @@
|
||||
Fri, 16 Sep 2022 16:13:11: -------------
|
||||
Fri, 16 Sep 2022 16:13:11: layers:(gru,fully connnected layer)-(3,3)
|
||||
Fri, 16 Sep 2022 16:13:11: cuda is_available:True
|
||||
Fri, 16 Sep 2022 16:13:11: model parameters - num_layers:3, sequence_len:40
|
||||
Fri, 16 Sep 2022 16:13:11: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Fri, 16 Sep 2022 16:13:11: reading csv file
|
||||
Fri, 16 Sep 2022 16:13:12: csv file alread loaded
|
||||
Fri, 16 Sep 2022 16:13:23: procols num: 31
|
||||
Fri, 16 Sep 2022 16:13:23: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Fri, 16 Sep 2022 16:14:43: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Fri, 16 Sep 2022 16:14:44: loader already prepared
|
||||
Fri, 16 Sep 2022 16:14:44: loader中(0:normal,1:high,2:low):Counter({0: 16122, 2: 10420, 1: 5677})
|
||||
Fri, 16 Sep 2022 16:14:46: start training
|
||||
Fri, 16 Sep 2022 16:14:46: Epoch [1/25], Step [50/1289], Loss: 0.4232
|
||||
Fri, 16 Sep 2022 16:14:47: Epoch [1/25], Step [100/1289], Loss: 0.4131
|
||||
Fri, 16 Sep 2022 16:14:47: Epoch [1/25], Step [150/1289], Loss: 0.2716
|
||||
Fri, 16 Sep 2022 16:14:48: Epoch [1/25], Step [200/1289], Loss: 0.3093
|
||||
Fri, 16 Sep 2022 16:14:48: Epoch [1/25], Step [250/1289], Loss: 0.3229
|
||||
Fri, 16 Sep 2022 16:14:48: Epoch [1/25], Step [300/1289], Loss: 0.3560
|
||||
Fri, 16 Sep 2022 16:14:49: Epoch [1/25], Step [350/1289], Loss: 0.2038
|
||||
Fri, 16 Sep 2022 16:14:49: Epoch [1/25], Step [400/1289], Loss: 0.3523
|
||||
Fri, 16 Sep 2022 16:14:49: Epoch [1/25], Step [450/1289], Loss: 0.1951
|
||||
Fri, 16 Sep 2022 16:14:50: Epoch [1/25], Step [500/1289], Loss: 0.1943
|
||||
Fri, 16 Sep 2022 16:14:50: Epoch [1/25], Step [550/1289], Loss: 0.2215
|
||||
Fri, 16 Sep 2022 16:14:50: Epoch [1/25], Step [600/1289], Loss: 0.2325
|
||||
Fri, 16 Sep 2022 16:14:51: Epoch [1/25], Step [650/1289], Loss: 0.1646
|
||||
Fri, 16 Sep 2022 16:14:51: Epoch [1/25], Step [700/1289], Loss: 0.1668
|
||||
Fri, 16 Sep 2022 16:14:51: Epoch [1/25], Step [750/1289], Loss: 0.2461
|
||||
Fri, 16 Sep 2022 16:14:52: Epoch [1/25], Step [800/1289], Loss: 0.1931
|
||||
Fri, 16 Sep 2022 16:14:52: Epoch [1/25], Step [850/1289], Loss: 0.2557
|
||||
Fri, 16 Sep 2022 16:14:52: Epoch [1/25], Step [900/1289], Loss: 0.1219
|
||||
Fri, 16 Sep 2022 16:14:53: Epoch [1/25], Step [950/1289], Loss: 0.2128
|
||||
Fri, 16 Sep 2022 16:14:53: Epoch [1/25], Step [1000/1289], Loss: 0.2226
|
||||
Fri, 16 Sep 2022 16:14:53: Epoch [1/25], Step [1050/1289], Loss: 0.1273
|
||||
Fri, 16 Sep 2022 16:14:53: Epoch [1/25], Step [1100/1289], Loss: 0.1617
|
||||
Fri, 16 Sep 2022 16:14:54: Epoch [1/25], Step [1150/1289], Loss: 0.1263
|
||||
Fri, 16 Sep 2022 16:14:54: Epoch [1/25], Step [1200/1289], Loss: 0.0958
|
||||
Fri, 16 Sep 2022 16:14:54: Epoch [1/25], Step [1250/1289], Loss: 0.0825
|
||||
Fri, 16 Sep 2022 16:14:55: Epoch [2/25], Step [50/1289], Loss: 0.2431
|
||||
Fri, 16 Sep 2022 16:14:55: Epoch [2/25], Step [100/1289], Loss: 0.1833
|
||||
Fri, 16 Sep 2022 16:14:56: Epoch [2/25], Step [150/1289], Loss: 0.2719
|
||||
Fri, 16 Sep 2022 16:14:56: Epoch [2/25], Step [200/1289], Loss: 0.0873
|
||||
Fri, 16 Sep 2022 16:14:56: Epoch [2/25], Step [250/1289], Loss: 0.1290
|
||||
Fri, 16 Sep 2022 16:14:57: Epoch [2/25], Step [300/1289], Loss: 0.1461
|
||||
Fri, 16 Sep 2022 16:14:57: Epoch [2/25], Step [350/1289], Loss: 0.1339
|
||||
Fri, 16 Sep 2022 16:14:57: Epoch [2/25], Step [400/1289], Loss: 0.1383
|
||||
Fri, 16 Sep 2022 16:14:58: Epoch [2/25], Step [450/1289], Loss: 0.0858
|
||||
Fri, 16 Sep 2022 16:14:58: Epoch [2/25], Step [500/1289], Loss: 0.1014
|
||||
Fri, 16 Sep 2022 16:14:58: Epoch [2/25], Step [550/1289], Loss: 0.1026
|
||||
Fri, 16 Sep 2022 16:14:59: Epoch [2/25], Step [600/1289], Loss: 0.1265
|
||||
Fri, 16 Sep 2022 16:14:59: Epoch [2/25], Step [650/1289], Loss: 0.1148
|
||||
Fri, 16 Sep 2022 16:14:59: Epoch [2/25], Step [700/1289], Loss: 0.1630
|
||||
Fri, 16 Sep 2022 16:15:00: Epoch [2/25], Step [750/1289], Loss: 0.1349
|
||||
Fri, 16 Sep 2022 16:15:00: Epoch [2/25], Step [800/1289], Loss: 0.1166
|
||||
Fri, 16 Sep 2022 16:15:00: Epoch [2/25], Step [850/1289], Loss: 0.0927
|
||||
Fri, 16 Sep 2022 16:15:01: Epoch [2/25], Step [900/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:15:01: Epoch [2/25], Step [950/1289], Loss: 0.0862
|
||||
Fri, 16 Sep 2022 16:15:02: Epoch [2/25], Step [1000/1289], Loss: 0.1341
|
||||
Fri, 16 Sep 2022 16:15:02: Epoch [2/25], Step [1050/1289], Loss: 0.1473
|
||||
Fri, 16 Sep 2022 16:15:02: Epoch [2/25], Step [1100/1289], Loss: 0.1442
|
||||
Fri, 16 Sep 2022 16:15:03: Epoch [2/25], Step [1150/1289], Loss: 0.0902
|
||||
Fri, 16 Sep 2022 16:15:03: Epoch [2/25], Step [1200/1289], Loss: 0.1461
|
||||
Fri, 16 Sep 2022 16:15:03: Epoch [2/25], Step [1250/1289], Loss: 0.0889
|
||||
Fri, 16 Sep 2022 16:15:04: Epoch [3/25], Step [50/1289], Loss: 0.1127
|
||||
Fri, 16 Sep 2022 16:15:04: Epoch [3/25], Step [100/1289], Loss: 0.0779
|
||||
Fri, 16 Sep 2022 16:15:05: Epoch [3/25], Step [150/1289], Loss: 0.0717
|
||||
Fri, 16 Sep 2022 16:15:05: Epoch [3/25], Step [200/1289], Loss: 0.1315
|
||||
Fri, 16 Sep 2022 16:15:05: Epoch [3/25], Step [250/1289], Loss: 0.2419
|
||||
Fri, 16 Sep 2022 16:15:06: Epoch [3/25], Step [300/1289], Loss: 0.0647
|
||||
Fri, 16 Sep 2022 16:15:06: Epoch [3/25], Step [350/1289], Loss: 0.0616
|
||||
Fri, 16 Sep 2022 16:15:07: Epoch [3/25], Step [400/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 16:15:07: Epoch [3/25], Step [450/1289], Loss: 0.0238
|
||||
Fri, 16 Sep 2022 16:15:07: Epoch [3/25], Step [500/1289], Loss: 0.1010
|
||||
Fri, 16 Sep 2022 16:15:08: Epoch [3/25], Step [550/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:15:08: Epoch [3/25], Step [600/1289], Loss: 0.0410
|
||||
Fri, 16 Sep 2022 16:15:08: Epoch [3/25], Step [650/1289], Loss: 0.0840
|
||||
Fri, 16 Sep 2022 16:15:09: Epoch [3/25], Step [700/1289], Loss: 0.1050
|
||||
Fri, 16 Sep 2022 16:15:09: Epoch [3/25], Step [750/1289], Loss: 0.0781
|
||||
Fri, 16 Sep 2022 16:15:09: Epoch [3/25], Step [800/1289], Loss: 0.0774
|
||||
Fri, 16 Sep 2022 16:15:10: Epoch [3/25], Step [850/1289], Loss: 0.0911
|
||||
Fri, 16 Sep 2022 16:15:10: Epoch [3/25], Step [900/1289], Loss: 0.0482
|
||||
Fri, 16 Sep 2022 16:15:10: Epoch [3/25], Step [950/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:15:11: Epoch [3/25], Step [1000/1289], Loss: 0.0867
|
||||
Fri, 16 Sep 2022 16:15:11: Epoch [3/25], Step [1050/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 16:15:11: Epoch [3/25], Step [1100/1289], Loss: 0.1909
|
||||
Fri, 16 Sep 2022 16:15:12: Epoch [3/25], Step [1150/1289], Loss: 0.1165
|
||||
Fri, 16 Sep 2022 16:15:12: Epoch [3/25], Step [1200/1289], Loss: 0.1670
|
||||
Fri, 16 Sep 2022 16:15:12: Epoch [3/25], Step [1250/1289], Loss: 0.0702
|
||||
Fri, 16 Sep 2022 16:15:13: Epoch [4/25], Step [50/1289], Loss: 0.1636
|
||||
Fri, 16 Sep 2022 16:15:13: Epoch [4/25], Step [100/1289], Loss: 0.0702
|
||||
Fri, 16 Sep 2022 16:15:14: Epoch [4/25], Step [150/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:15:14: Epoch [4/25], Step [200/1289], Loss: 0.1187
|
||||
Fri, 16 Sep 2022 16:15:14: Epoch [4/25], Step [250/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 16:15:15: Epoch [4/25], Step [300/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:15:15: Epoch [4/25], Step [350/1289], Loss: 0.0422
|
||||
Fri, 16 Sep 2022 16:15:15: Epoch [4/25], Step [400/1289], Loss: 0.1123
|
||||
Fri, 16 Sep 2022 16:15:16: Epoch [4/25], Step [450/1289], Loss: 0.0723
|
||||
Fri, 16 Sep 2022 16:15:16: Epoch [4/25], Step [500/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 16:15:16: Epoch [4/25], Step [550/1289], Loss: 0.0538
|
||||
Fri, 16 Sep 2022 16:15:17: Epoch [4/25], Step [600/1289], Loss: 0.0215
|
||||
Fri, 16 Sep 2022 16:15:17: Epoch [4/25], Step [650/1289], Loss: 0.0609
|
||||
Fri, 16 Sep 2022 16:15:17: Epoch [4/25], Step [700/1289], Loss: 0.0357
|
||||
Fri, 16 Sep 2022 16:15:18: Epoch [4/25], Step [750/1289], Loss: 0.0796
|
||||
Fri, 16 Sep 2022 16:15:18: Epoch [4/25], Step [800/1289], Loss: 0.0861
|
||||
Fri, 16 Sep 2022 16:15:18: Epoch [4/25], Step [850/1289], Loss: 0.0847
|
||||
Fri, 16 Sep 2022 16:15:19: Epoch [4/25], Step [900/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:15:19: Epoch [4/25], Step [950/1289], Loss: 0.0383
|
||||
Fri, 16 Sep 2022 16:15:19: Epoch [4/25], Step [1000/1289], Loss: 0.0754
|
||||
Fri, 16 Sep 2022 16:15:20: Epoch [4/25], Step [1050/1289], Loss: 0.0932
|
||||
Fri, 16 Sep 2022 16:15:20: Epoch [4/25], Step [1100/1289], Loss: 0.0999
|
||||
Fri, 16 Sep 2022 16:15:20: Epoch [4/25], Step [1150/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:15:21: Epoch [4/25], Step [1200/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:15:21: Epoch [4/25], Step [1250/1289], Loss: 0.0503
|
||||
Fri, 16 Sep 2022 16:15:22: Epoch [5/25], Step [50/1289], Loss: 0.0201
|
||||
Fri, 16 Sep 2022 16:15:22: Epoch [5/25], Step [100/1289], Loss: 0.0991
|
||||
Fri, 16 Sep 2022 16:15:22: Epoch [5/25], Step [150/1289], Loss: 0.1219
|
||||
Fri, 16 Sep 2022 16:15:22: Epoch [5/25], Step [200/1289], Loss: 0.0990
|
||||
Fri, 16 Sep 2022 16:15:23: Epoch [5/25], Step [250/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 16:15:23: Epoch [5/25], Step [300/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:15:23: Epoch [5/25], Step [350/1289], Loss: 0.1829
|
||||
Fri, 16 Sep 2022 16:15:24: Epoch [5/25], Step [400/1289], Loss: 0.0703
|
||||
Fri, 16 Sep 2022 16:15:24: Epoch [5/25], Step [450/1289], Loss: 0.0601
|
||||
Fri, 16 Sep 2022 16:15:24: Epoch [5/25], Step [500/1289], Loss: 0.0826
|
||||
Fri, 16 Sep 2022 16:15:25: Epoch [5/25], Step [550/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:15:25: Epoch [5/25], Step [600/1289], Loss: 0.0669
|
||||
Fri, 16 Sep 2022 16:15:25: Epoch [5/25], Step [650/1289], Loss: 0.0477
|
||||
Fri, 16 Sep 2022 16:15:26: Epoch [5/25], Step [700/1289], Loss: 0.0895
|
||||
Fri, 16 Sep 2022 16:15:26: Epoch [5/25], Step [750/1289], Loss: 0.0670
|
||||
Fri, 16 Sep 2022 16:15:26: Epoch [5/25], Step [800/1289], Loss: 0.0405
|
||||
Fri, 16 Sep 2022 16:15:27: Epoch [5/25], Step [850/1289], Loss: 0.0568
|
||||
Fri, 16 Sep 2022 16:15:27: Epoch [5/25], Step [900/1289], Loss: 0.0585
|
||||
Fri, 16 Sep 2022 16:15:27: Epoch [5/25], Step [950/1289], Loss: 0.0898
|
||||
Fri, 16 Sep 2022 16:15:28: Epoch [5/25], Step [1000/1289], Loss: 0.0547
|
||||
Fri, 16 Sep 2022 16:15:28: Epoch [5/25], Step [1050/1289], Loss: 0.0391
|
||||
Fri, 16 Sep 2022 16:15:28: Epoch [5/25], Step [1100/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:15:29: Epoch [5/25], Step [1150/1289], Loss: 0.0312
|
||||
Fri, 16 Sep 2022 16:15:29: Epoch [5/25], Step [1200/1289], Loss: 0.0280
|
||||
Fri, 16 Sep 2022 16:15:29: Epoch [5/25], Step [1250/1289], Loss: 0.0553
|
||||
Fri, 16 Sep 2022 16:15:30: Epoch [6/25], Step [50/1289], Loss: 0.0441
|
||||
Fri, 16 Sep 2022 16:15:30: Epoch [6/25], Step [100/1289], Loss: 0.0984
|
||||
Fri, 16 Sep 2022 16:15:31: Epoch [6/25], Step [150/1289], Loss: 0.0718
|
||||
Fri, 16 Sep 2022 16:15:31: Epoch [6/25], Step [200/1289], Loss: 0.0500
|
||||
Fri, 16 Sep 2022 16:15:31: Epoch [6/25], Step [250/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:15:32: Epoch [6/25], Step [300/1289], Loss: 0.0754
|
||||
Fri, 16 Sep 2022 16:15:32: Epoch [6/25], Step [350/1289], Loss: 0.0193
|
||||
Fri, 16 Sep 2022 16:15:32: Epoch [6/25], Step [400/1289], Loss: 0.0876
|
||||
Fri, 16 Sep 2022 16:15:33: Epoch [6/25], Step [450/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 16:15:33: Epoch [6/25], Step [500/1289], Loss: 0.0232
|
||||
Fri, 16 Sep 2022 16:15:33: Epoch [6/25], Step [550/1289], Loss: 0.0993
|
||||
Fri, 16 Sep 2022 16:15:34: Epoch [6/25], Step [600/1289], Loss: 0.1450
|
||||
Fri, 16 Sep 2022 16:15:34: Epoch [6/25], Step [650/1289], Loss: 0.1042
|
||||
Fri, 16 Sep 2022 16:15:34: Epoch [6/25], Step [700/1289], Loss: 0.0619
|
||||
Fri, 16 Sep 2022 16:15:35: Epoch [6/25], Step [750/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:15:35: Epoch [6/25], Step [800/1289], Loss: 0.0393
|
||||
Fri, 16 Sep 2022 16:15:35: Epoch [6/25], Step [850/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:15:36: Epoch [6/25], Step [900/1289], Loss: 0.0469
|
||||
Fri, 16 Sep 2022 16:15:36: Epoch [6/25], Step [950/1289], Loss: 0.0295
|
||||
Fri, 16 Sep 2022 16:15:36: Epoch [6/25], Step [1000/1289], Loss: 0.1269
|
||||
Fri, 16 Sep 2022 16:15:37: Epoch [6/25], Step [1050/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:15:37: Epoch [6/25], Step [1100/1289], Loss: 0.0544
|
||||
Fri, 16 Sep 2022 16:15:37: Epoch [6/25], Step [1150/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 16:15:38: Epoch [6/25], Step [1200/1289], Loss: 0.0727
|
||||
Fri, 16 Sep 2022 16:15:38: Epoch [6/25], Step [1250/1289], Loss: 0.0804
|
||||
Fri, 16 Sep 2022 16:15:38: Epoch [7/25], Step [50/1289], Loss: 0.0944
|
||||
Fri, 16 Sep 2022 16:15:39: Epoch [7/25], Step [100/1289], Loss: 0.0893
|
||||
Fri, 16 Sep 2022 16:15:39: Epoch [7/25], Step [150/1289], Loss: 0.0640
|
||||
Fri, 16 Sep 2022 16:15:39: Epoch [7/25], Step [200/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:15:40: Epoch [7/25], Step [250/1289], Loss: 0.0390
|
||||
Fri, 16 Sep 2022 16:15:40: Epoch [7/25], Step [300/1289], Loss: 0.0255
|
||||
Fri, 16 Sep 2022 16:15:40: Epoch [7/25], Step [350/1289], Loss: 0.0314
|
||||
Fri, 16 Sep 2022 16:15:41: Epoch [7/25], Step [400/1289], Loss: 0.0872
|
||||
Fri, 16 Sep 2022 16:15:41: Epoch [7/25], Step [450/1289], Loss: 0.0169
|
||||
Fri, 16 Sep 2022 16:15:41: Epoch [7/25], Step [500/1289], Loss: 0.1259
|
||||
Fri, 16 Sep 2022 16:15:42: Epoch [7/25], Step [550/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:15:42: Epoch [7/25], Step [600/1289], Loss: 0.0587
|
||||
Fri, 16 Sep 2022 16:15:42: Epoch [7/25], Step [650/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 16:15:43: Epoch [7/25], Step [700/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:15:43: Epoch [7/25], Step [750/1289], Loss: 0.0457
|
||||
Fri, 16 Sep 2022 16:15:43: Epoch [7/25], Step [800/1289], Loss: 0.0363
|
||||
Fri, 16 Sep 2022 16:15:44: Epoch [7/25], Step [850/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:15:44: Epoch [7/25], Step [900/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:15:44: Epoch [7/25], Step [950/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:15:45: Epoch [7/25], Step [1000/1289], Loss: 0.0135
|
||||
Fri, 16 Sep 2022 16:15:45: Epoch [7/25], Step [1050/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 16:15:45: Epoch [7/25], Step [1100/1289], Loss: 0.0404
|
||||
Fri, 16 Sep 2022 16:15:46: Epoch [7/25], Step [1150/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:15:46: Epoch [7/25], Step [1200/1289], Loss: 0.0748
|
||||
Fri, 16 Sep 2022 16:15:46: Epoch [7/25], Step [1250/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:15:47: Epoch [8/25], Step [50/1289], Loss: 0.1043
|
||||
Fri, 16 Sep 2022 16:15:47: Epoch [8/25], Step [100/1289], Loss: 0.0096
|
||||
Fri, 16 Sep 2022 16:15:48: Epoch [8/25], Step [150/1289], Loss: 0.0206
|
||||
Fri, 16 Sep 2022 16:15:48: Epoch [8/25], Step [200/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:15:48: Epoch [8/25], Step [250/1289], Loss: 0.0665
|
||||
Fri, 16 Sep 2022 16:15:49: Epoch [8/25], Step [300/1289], Loss: 0.0550
|
||||
Fri, 16 Sep 2022 16:15:49: Epoch [8/25], Step [350/1289], Loss: 0.0213
|
||||
Fri, 16 Sep 2022 16:15:49: Epoch [8/25], Step [400/1289], Loss: 0.0986
|
||||
Fri, 16 Sep 2022 16:15:50: Epoch [8/25], Step [450/1289], Loss: 0.0710
|
||||
Fri, 16 Sep 2022 16:15:50: Epoch [8/25], Step [500/1289], Loss: 0.1188
|
||||
Fri, 16 Sep 2022 16:15:50: Epoch [8/25], Step [550/1289], Loss: 0.0744
|
||||
Fri, 16 Sep 2022 16:15:51: Epoch [8/25], Step [600/1289], Loss: 0.0181
|
||||
Fri, 16 Sep 2022 16:15:51: Epoch [8/25], Step [650/1289], Loss: 0.0940
|
||||
Fri, 16 Sep 2022 16:15:51: Epoch [8/25], Step [700/1289], Loss: 0.0483
|
||||
Fri, 16 Sep 2022 16:15:52: Epoch [8/25], Step [750/1289], Loss: 0.0882
|
||||
Fri, 16 Sep 2022 16:15:52: Epoch [8/25], Step [800/1289], Loss: 0.0100
|
||||
Fri, 16 Sep 2022 16:15:52: Epoch [8/25], Step [850/1289], Loss: 0.0491
|
||||
Fri, 16 Sep 2022 16:15:53: Epoch [8/25], Step [900/1289], Loss: 0.0130
|
||||
Fri, 16 Sep 2022 16:15:53: Epoch [8/25], Step [950/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:15:53: Epoch [8/25], Step [1000/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 16:15:53: Epoch [8/25], Step [1050/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 16:15:54: Epoch [8/25], Step [1100/1289], Loss: 0.0965
|
||||
Fri, 16 Sep 2022 16:15:54: Epoch [8/25], Step [1150/1289], Loss: 0.1388
|
||||
Fri, 16 Sep 2022 16:15:54: Epoch [8/25], Step [1200/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:15:55: Epoch [8/25], Step [1250/1289], Loss: 0.0076
|
||||
Fri, 16 Sep 2022 16:15:55: Epoch [9/25], Step [50/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:15:56: Epoch [9/25], Step [100/1289], Loss: 0.0417
|
||||
Fri, 16 Sep 2022 16:15:56: Epoch [9/25], Step [150/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 16:15:56: Epoch [9/25], Step [200/1289], Loss: 0.0661
|
||||
Fri, 16 Sep 2022 16:15:57: Epoch [9/25], Step [250/1289], Loss: 0.0492
|
||||
Fri, 16 Sep 2022 16:15:57: Epoch [9/25], Step [300/1289], Loss: 0.0880
|
||||
Fri, 16 Sep 2022 16:15:57: Epoch [9/25], Step [350/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 16:15:58: Epoch [9/25], Step [400/1289], Loss: 0.0479
|
||||
Fri, 16 Sep 2022 16:15:58: Epoch [9/25], Step [450/1289], Loss: 0.0361
|
||||
Fri, 16 Sep 2022 16:15:58: Epoch [9/25], Step [500/1289], Loss: 0.0288
|
||||
Fri, 16 Sep 2022 16:15:59: Epoch [9/25], Step [550/1289], Loss: 0.0473
|
||||
Fri, 16 Sep 2022 16:15:59: Epoch [9/25], Step [600/1289], Loss: 0.0235
|
||||
Fri, 16 Sep 2022 16:15:59: Epoch [9/25], Step [650/1289], Loss: 0.0262
|
||||
Fri, 16 Sep 2022 16:16:00: Epoch [9/25], Step [700/1289], Loss: 0.0267
|
||||
Fri, 16 Sep 2022 16:16:00: Epoch [9/25], Step [750/1289], Loss: 0.1095
|
||||
Fri, 16 Sep 2022 16:16:00: Epoch [9/25], Step [800/1289], Loss: 0.0315
|
||||
Fri, 16 Sep 2022 16:16:01: Epoch [9/25], Step [850/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 16:16:01: Epoch [9/25], Step [900/1289], Loss: 0.0614
|
||||
Fri, 16 Sep 2022 16:16:01: Epoch [9/25], Step [950/1289], Loss: 0.0196
|
||||
Fri, 16 Sep 2022 16:16:02: Epoch [9/25], Step [1000/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:16:02: Epoch [9/25], Step [1050/1289], Loss: 0.0563
|
||||
Fri, 16 Sep 2022 16:16:02: Epoch [9/25], Step [1100/1289], Loss: 0.0779
|
||||
Fri, 16 Sep 2022 16:16:03: Epoch [9/25], Step [1150/1289], Loss: 0.0176
|
||||
Fri, 16 Sep 2022 16:16:03: Epoch [9/25], Step [1200/1289], Loss: 0.0415
|
||||
Fri, 16 Sep 2022 16:16:03: Epoch [9/25], Step [1250/1289], Loss: 0.0581
|
||||
Fri, 16 Sep 2022 16:16:04: Epoch [10/25], Step [50/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:16:04: Epoch [10/25], Step [100/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:16:05: Epoch [10/25], Step [150/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:16:05: Epoch [10/25], Step [200/1289], Loss: 0.1627
|
||||
Fri, 16 Sep 2022 16:16:05: Epoch [10/25], Step [250/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:16:06: Epoch [10/25], Step [300/1289], Loss: 0.0449
|
||||
Fri, 16 Sep 2022 16:16:06: Epoch [10/25], Step [350/1289], Loss: 0.0591
|
||||
Fri, 16 Sep 2022 16:16:06: Epoch [10/25], Step [400/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:16:07: Epoch [10/25], Step [450/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:16:07: Epoch [10/25], Step [500/1289], Loss: 0.1108
|
||||
Fri, 16 Sep 2022 16:16:07: Epoch [10/25], Step [550/1289], Loss: 0.0365
|
||||
Fri, 16 Sep 2022 16:16:08: Epoch [10/25], Step [600/1289], Loss: 0.0509
|
||||
Fri, 16 Sep 2022 16:16:08: Epoch [10/25], Step [650/1289], Loss: 0.0251
|
||||
Fri, 16 Sep 2022 16:16:08: Epoch [10/25], Step [700/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 16:16:09: Epoch [10/25], Step [750/1289], Loss: 0.0644
|
||||
Fri, 16 Sep 2022 16:16:09: Epoch [10/25], Step [800/1289], Loss: 0.0338
|
||||
Fri, 16 Sep 2022 16:16:09: Epoch [10/25], Step [850/1289], Loss: 0.0497
|
||||
Fri, 16 Sep 2022 16:16:10: Epoch [10/25], Step [900/1289], Loss: 0.0313
|
||||
Fri, 16 Sep 2022 16:16:10: Epoch [10/25], Step [950/1289], Loss: 0.0670
|
||||
Fri, 16 Sep 2022 16:16:10: Epoch [10/25], Step [1000/1289], Loss: 0.0726
|
||||
Fri, 16 Sep 2022 16:16:11: Epoch [10/25], Step [1050/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:16:11: Epoch [10/25], Step [1100/1289], Loss: 0.0115
|
||||
Fri, 16 Sep 2022 16:16:11: Epoch [10/25], Step [1150/1289], Loss: 0.0149
|
||||
Fri, 16 Sep 2022 16:16:12: Epoch [10/25], Step [1200/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:16:12: Epoch [10/25], Step [1250/1289], Loss: 0.0934
|
||||
Fri, 16 Sep 2022 16:16:13: Epoch [11/25], Step [50/1289], Loss: 0.0211
|
||||
Fri, 16 Sep 2022 16:16:13: Epoch [11/25], Step [100/1289], Loss: 0.0492
|
||||
Fri, 16 Sep 2022 16:16:13: Epoch [11/25], Step [150/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:16:14: Epoch [11/25], Step [200/1289], Loss: 0.0458
|
||||
Fri, 16 Sep 2022 16:16:14: Epoch [11/25], Step [250/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:16:14: Epoch [11/25], Step [300/1289], Loss: 0.0572
|
||||
Fri, 16 Sep 2022 16:16:15: Epoch [11/25], Step [350/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:16:15: Epoch [11/25], Step [400/1289], Loss: 0.0455
|
||||
Fri, 16 Sep 2022 16:16:15: Epoch [11/25], Step [450/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:16:16: Epoch [11/25], Step [500/1289], Loss: 0.0473
|
||||
Fri, 16 Sep 2022 16:16:16: Epoch [11/25], Step [550/1289], Loss: 0.0424
|
||||
Fri, 16 Sep 2022 16:16:16: Epoch [11/25], Step [600/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:16:17: Epoch [11/25], Step [650/1289], Loss: 0.0815
|
||||
Fri, 16 Sep 2022 16:16:17: Epoch [11/25], Step [700/1289], Loss: 0.0448
|
||||
Fri, 16 Sep 2022 16:16:17: Epoch [11/25], Step [750/1289], Loss: 0.0339
|
||||
Fri, 16 Sep 2022 16:16:18: Epoch [11/25], Step [800/1289], Loss: 0.0637
|
||||
Fri, 16 Sep 2022 16:16:18: Epoch [11/25], Step [850/1289], Loss: 0.0461
|
||||
Fri, 16 Sep 2022 16:16:18: Epoch [11/25], Step [900/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:16:19: Epoch [11/25], Step [950/1289], Loss: 0.0157
|
||||
Fri, 16 Sep 2022 16:16:19: Epoch [11/25], Step [1000/1289], Loss: 0.0575
|
||||
Fri, 16 Sep 2022 16:16:19: Epoch [11/25], Step [1050/1289], Loss: 0.0335
|
||||
Fri, 16 Sep 2022 16:16:19: Epoch [11/25], Step [1100/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:16:20: Epoch [11/25], Step [1150/1289], Loss: 0.1435
|
||||
Fri, 16 Sep 2022 16:16:20: Epoch [11/25], Step [1200/1289], Loss: 0.0209
|
||||
Fri, 16 Sep 2022 16:16:20: Epoch [11/25], Step [1250/1289], Loss: 0.0454
|
||||
Fri, 16 Sep 2022 16:16:21: Epoch [12/25], Step [50/1289], Loss: 0.0342
|
||||
Fri, 16 Sep 2022 16:16:21: Epoch [12/25], Step [100/1289], Loss: 0.0244
|
||||
Fri, 16 Sep 2022 16:16:22: Epoch [12/25], Step [150/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:16:22: Epoch [12/25], Step [200/1289], Loss: 0.0265
|
||||
Fri, 16 Sep 2022 16:16:22: Epoch [12/25], Step [250/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:16:23: Epoch [12/25], Step [300/1289], Loss: 0.0646
|
||||
Fri, 16 Sep 2022 16:16:23: Epoch [12/25], Step [350/1289], Loss: 0.0369
|
||||
Fri, 16 Sep 2022 16:16:23: Epoch [12/25], Step [400/1289], Loss: 0.0154
|
||||
Fri, 16 Sep 2022 16:16:24: Epoch [12/25], Step [450/1289], Loss: 0.0387
|
||||
Fri, 16 Sep 2022 16:16:24: Epoch [12/25], Step [500/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:16:24: Epoch [12/25], Step [550/1289], Loss: 0.0108
|
||||
Fri, 16 Sep 2022 16:16:25: Epoch [12/25], Step [600/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 16:16:25: Epoch [12/25], Step [650/1289], Loss: 0.0102
|
||||
Fri, 16 Sep 2022 16:16:25: Epoch [12/25], Step [700/1289], Loss: 0.0519
|
||||
Fri, 16 Sep 2022 16:16:26: Epoch [12/25], Step [750/1289], Loss: 0.0276
|
||||
Fri, 16 Sep 2022 16:16:26: Epoch [12/25], Step [800/1289], Loss: 0.0457
|
||||
Fri, 16 Sep 2022 16:16:26: Epoch [12/25], Step [850/1289], Loss: 0.0162
|
||||
Fri, 16 Sep 2022 16:16:27: Epoch [12/25], Step [900/1289], Loss: 0.0834
|
||||
Fri, 16 Sep 2022 16:16:27: Epoch [12/25], Step [950/1289], Loss: 0.0296
|
||||
Fri, 16 Sep 2022 16:16:27: Epoch [12/25], Step [1000/1289], Loss: 0.0408
|
||||
Fri, 16 Sep 2022 16:16:28: Epoch [12/25], Step [1050/1289], Loss: 0.0272
|
||||
Fri, 16 Sep 2022 16:16:28: Epoch [12/25], Step [1100/1289], Loss: 0.0244
|
||||
Fri, 16 Sep 2022 16:16:28: Epoch [12/25], Step [1150/1289], Loss: 0.0531
|
||||
Fri, 16 Sep 2022 16:16:29: Epoch [12/25], Step [1200/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:16:29: Epoch [12/25], Step [1250/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 16:16:30: Epoch [13/25], Step [50/1289], Loss: 0.0328
|
||||
Fri, 16 Sep 2022 16:16:30: Epoch [13/25], Step [100/1289], Loss: 0.0478
|
||||
Fri, 16 Sep 2022 16:16:30: Epoch [13/25], Step [150/1289], Loss: 0.0386
|
||||
Fri, 16 Sep 2022 16:16:31: Epoch [13/25], Step [200/1289], Loss: 0.0340
|
||||
Fri, 16 Sep 2022 16:16:31: Epoch [13/25], Step [250/1289], Loss: 0.0498
|
||||
Fri, 16 Sep 2022 16:16:31: Epoch [13/25], Step [300/1289], Loss: 0.0697
|
||||
Fri, 16 Sep 2022 16:16:32: Epoch [13/25], Step [350/1289], Loss: 0.0512
|
||||
Fri, 16 Sep 2022 16:16:32: Epoch [13/25], Step [400/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:16:32: Epoch [13/25], Step [450/1289], Loss: 0.0301
|
||||
Fri, 16 Sep 2022 16:16:33: Epoch [13/25], Step [500/1289], Loss: 0.0503
|
||||
Fri, 16 Sep 2022 16:16:33: Epoch [13/25], Step [550/1289], Loss: 0.0354
|
||||
Fri, 16 Sep 2022 16:16:33: Epoch [13/25], Step [600/1289], Loss: 0.0633
|
||||
Fri, 16 Sep 2022 16:16:34: Epoch [13/25], Step [650/1289], Loss: 0.0205
|
||||
Fri, 16 Sep 2022 16:16:34: Epoch [13/25], Step [700/1289], Loss: 0.0432
|
||||
Fri, 16 Sep 2022 16:16:34: Epoch [13/25], Step [750/1289], Loss: 0.1605
|
||||
Fri, 16 Sep 2022 16:16:35: Epoch [13/25], Step [800/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:16:35: Epoch [13/25], Step [850/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 16:16:35: Epoch [13/25], Step [900/1289], Loss: 0.0653
|
||||
Fri, 16 Sep 2022 16:16:36: Epoch [13/25], Step [950/1289], Loss: 0.0140
|
||||
Fri, 16 Sep 2022 16:16:36: Epoch [13/25], Step [1000/1289], Loss: 0.0634
|
||||
Fri, 16 Sep 2022 16:16:36: Epoch [13/25], Step [1050/1289], Loss: 0.0488
|
||||
Fri, 16 Sep 2022 16:16:37: Epoch [13/25], Step [1100/1289], Loss: 0.0403
|
||||
Fri, 16 Sep 2022 16:16:37: Epoch [13/25], Step [1150/1289], Loss: 0.0098
|
||||
Fri, 16 Sep 2022 16:16:37: Epoch [13/25], Step [1200/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:16:38: Epoch [13/25], Step [1250/1289], Loss: 0.0422
|
||||
Fri, 16 Sep 2022 16:16:38: Epoch [14/25], Step [50/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:16:39: Epoch [14/25], Step [100/1289], Loss: 0.0604
|
||||
Fri, 16 Sep 2022 16:16:39: Epoch [14/25], Step [150/1289], Loss: 0.0388
|
||||
Fri, 16 Sep 2022 16:16:39: Epoch [14/25], Step [200/1289], Loss: 0.0659
|
||||
Fri, 16 Sep 2022 16:16:40: Epoch [14/25], Step [250/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 16:16:40: Epoch [14/25], Step [300/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:16:40: Epoch [14/25], Step [350/1289], Loss: 0.0355
|
||||
Fri, 16 Sep 2022 16:16:41: Epoch [14/25], Step [400/1289], Loss: 0.0373
|
||||
Fri, 16 Sep 2022 16:16:41: Epoch [14/25], Step [450/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:16:42: Epoch [14/25], Step [500/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 16:16:42: Epoch [14/25], Step [550/1289], Loss: 0.0321
|
||||
Fri, 16 Sep 2022 16:16:42: Epoch [14/25], Step [600/1289], Loss: 0.0384
|
||||
Fri, 16 Sep 2022 16:16:43: Epoch [14/25], Step [650/1289], Loss: 0.0170
|
||||
Fri, 16 Sep 2022 16:16:43: Epoch [14/25], Step [700/1289], Loss: 0.0581
|
||||
Fri, 16 Sep 2022 16:16:43: Epoch [14/25], Step [750/1289], Loss: 0.0142
|
||||
Fri, 16 Sep 2022 16:16:44: Epoch [14/25], Step [800/1289], Loss: 0.0228
|
||||
Fri, 16 Sep 2022 16:16:44: Epoch [14/25], Step [850/1289], Loss: 0.1060
|
||||
Fri, 16 Sep 2022 16:16:44: Epoch [14/25], Step [900/1289], Loss: 0.0570
|
||||
Fri, 16 Sep 2022 16:16:45: Epoch [14/25], Step [950/1289], Loss: 0.0493
|
||||
Fri, 16 Sep 2022 16:16:45: Epoch [14/25], Step [1000/1289], Loss: 0.0846
|
||||
Fri, 16 Sep 2022 16:16:45: Epoch [14/25], Step [1050/1289], Loss: 0.0581
|
||||
Fri, 16 Sep 2022 16:16:46: Epoch [14/25], Step [1100/1289], Loss: 0.1034
|
||||
Fri, 16 Sep 2022 16:16:46: Epoch [14/25], Step [1150/1289], Loss: 0.0743
|
||||
Fri, 16 Sep 2022 16:16:46: Epoch [14/25], Step [1200/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:16:46: Epoch [14/25], Step [1250/1289], Loss: 0.0158
|
||||
Fri, 16 Sep 2022 16:16:47: Epoch [15/25], Step [50/1289], Loss: 0.0548
|
||||
Fri, 16 Sep 2022 16:16:47: Epoch [15/25], Step [100/1289], Loss: 0.0453
|
||||
Fri, 16 Sep 2022 16:16:48: Epoch [15/25], Step [150/1289], Loss: 0.0042
|
||||
Fri, 16 Sep 2022 16:16:48: Epoch [15/25], Step [200/1289], Loss: 0.0125
|
||||
Fri, 16 Sep 2022 16:16:48: Epoch [15/25], Step [250/1289], Loss: 0.0546
|
||||
Fri, 16 Sep 2022 16:16:49: Epoch [15/25], Step [300/1289], Loss: 0.0088
|
||||
Fri, 16 Sep 2022 16:16:49: Epoch [15/25], Step [350/1289], Loss: 0.0935
|
||||
Fri, 16 Sep 2022 16:16:49: Epoch [15/25], Step [400/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 16:16:50: Epoch [15/25], Step [450/1289], Loss: 0.0928
|
||||
Fri, 16 Sep 2022 16:16:50: Epoch [15/25], Step [500/1289], Loss: 0.0613
|
||||
Fri, 16 Sep 2022 16:16:50: Epoch [15/25], Step [550/1289], Loss: 0.0598
|
||||
Fri, 16 Sep 2022 16:16:51: Epoch [15/25], Step [600/1289], Loss: 0.0666
|
||||
Fri, 16 Sep 2022 16:16:51: Epoch [15/25], Step [650/1289], Loss: 0.0519
|
||||
Fri, 16 Sep 2022 16:16:51: Epoch [15/25], Step [700/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:16:52: Epoch [15/25], Step [750/1289], Loss: 0.0564
|
||||
Fri, 16 Sep 2022 16:16:52: Epoch [15/25], Step [800/1289], Loss: 0.0383
|
||||
Fri, 16 Sep 2022 16:16:52: Epoch [15/25], Step [850/1289], Loss: 0.0096
|
||||
Fri, 16 Sep 2022 16:16:53: Epoch [15/25], Step [900/1289], Loss: 0.0245
|
||||
Fri, 16 Sep 2022 16:16:53: Epoch [15/25], Step [950/1289], Loss: 0.0067
|
||||
Fri, 16 Sep 2022 16:16:54: Epoch [15/25], Step [1000/1289], Loss: 0.0374
|
||||
Fri, 16 Sep 2022 16:16:54: Epoch [15/25], Step [1050/1289], Loss: 0.0154
|
||||
Fri, 16 Sep 2022 16:16:54: Epoch [15/25], Step [1100/1289], Loss: 0.0147
|
||||
Fri, 16 Sep 2022 16:16:55: Epoch [15/25], Step [1150/1289], Loss: 0.0457
|
||||
Fri, 16 Sep 2022 16:16:55: Epoch [15/25], Step [1200/1289], Loss: 0.0129
|
||||
Fri, 16 Sep 2022 16:16:55: Epoch [15/25], Step [1250/1289], Loss: 0.0225
|
||||
Fri, 16 Sep 2022 16:16:56: Epoch [16/25], Step [50/1289], Loss: 0.0445
|
||||
Fri, 16 Sep 2022 16:16:56: Epoch [16/25], Step [100/1289], Loss: 0.1291
|
||||
Fri, 16 Sep 2022 16:16:57: Epoch [16/25], Step [150/1289], Loss: 0.0470
|
||||
Fri, 16 Sep 2022 16:16:57: Epoch [16/25], Step [200/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:16:57: Epoch [16/25], Step [250/1289], Loss: 0.0123
|
||||
Fri, 16 Sep 2022 16:16:58: Epoch [16/25], Step [300/1289], Loss: 0.0520
|
||||
Fri, 16 Sep 2022 16:16:58: Epoch [16/25], Step [350/1289], Loss: 0.0547
|
||||
Fri, 16 Sep 2022 16:16:58: Epoch [16/25], Step [400/1289], Loss: 0.0080
|
||||
Fri, 16 Sep 2022 16:16:59: Epoch [16/25], Step [450/1289], Loss: 0.0229
|
||||
Fri, 16 Sep 2022 16:16:59: Epoch [16/25], Step [500/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:16:59: Epoch [16/25], Step [550/1289], Loss: 0.0444
|
||||
Fri, 16 Sep 2022 16:17:00: Epoch [16/25], Step [600/1289], Loss: 0.0892
|
||||
Fri, 16 Sep 2022 16:17:00: Epoch [16/25], Step [650/1289], Loss: 0.0474
|
||||
Fri, 16 Sep 2022 16:17:00: Epoch [16/25], Step [700/1289], Loss: 0.0407
|
||||
Fri, 16 Sep 2022 16:17:01: Epoch [16/25], Step [750/1289], Loss: 0.0075
|
||||
Fri, 16 Sep 2022 16:17:01: Epoch [16/25], Step [800/1289], Loss: 0.0625
|
||||
Fri, 16 Sep 2022 16:17:01: Epoch [16/25], Step [850/1289], Loss: 0.0263
|
||||
Fri, 16 Sep 2022 16:17:02: Epoch [16/25], Step [900/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 16:17:02: Epoch [16/25], Step [950/1289], Loss: 0.0114
|
||||
Fri, 16 Sep 2022 16:17:02: Epoch [16/25], Step [1000/1289], Loss: 0.0259
|
||||
Fri, 16 Sep 2022 16:17:03: Epoch [16/25], Step [1050/1289], Loss: 0.0435
|
||||
Fri, 16 Sep 2022 16:17:03: Epoch [16/25], Step [1100/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:17:03: Epoch [16/25], Step [1150/1289], Loss: 0.0066
|
||||
Fri, 16 Sep 2022 16:17:04: Epoch [16/25], Step [1200/1289], Loss: 0.0081
|
||||
Fri, 16 Sep 2022 16:17:04: Epoch [16/25], Step [1250/1289], Loss: 0.0172
|
||||
Fri, 16 Sep 2022 16:17:05: Epoch [17/25], Step [50/1289], Loss: 0.1114
|
||||
Fri, 16 Sep 2022 16:17:05: Epoch [17/25], Step [100/1289], Loss: 0.0549
|
||||
Fri, 16 Sep 2022 16:17:05: Epoch [17/25], Step [150/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:17:06: Epoch [17/25], Step [200/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:17:06: Epoch [17/25], Step [250/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:17:06: Epoch [17/25], Step [300/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:17:07: Epoch [17/25], Step [350/1289], Loss: 0.0959
|
||||
Fri, 16 Sep 2022 16:17:07: Epoch [17/25], Step [400/1289], Loss: 0.0158
|
||||
Fri, 16 Sep 2022 16:17:07: Epoch [17/25], Step [450/1289], Loss: 0.0233
|
||||
Fri, 16 Sep 2022 16:17:08: Epoch [17/25], Step [500/1289], Loss: 0.0649
|
||||
Fri, 16 Sep 2022 16:17:08: Epoch [17/25], Step [550/1289], Loss: 0.0614
|
||||
Fri, 16 Sep 2022 16:17:08: Epoch [17/25], Step [600/1289], Loss: 0.0144
|
||||
Fri, 16 Sep 2022 16:17:09: Epoch [17/25], Step [650/1289], Loss: 0.0392
|
||||
Fri, 16 Sep 2022 16:17:09: Epoch [17/25], Step [700/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:17:09: Epoch [17/25], Step [750/1289], Loss: 0.0162
|
||||
Fri, 16 Sep 2022 16:17:10: Epoch [17/25], Step [800/1289], Loss: 0.0876
|
||||
Fri, 16 Sep 2022 16:17:10: Epoch [17/25], Step [850/1289], Loss: 0.0279
|
||||
Fri, 16 Sep 2022 16:17:10: Epoch [17/25], Step [900/1289], Loss: 0.0437
|
||||
Fri, 16 Sep 2022 16:17:11: Epoch [17/25], Step [950/1289], Loss: 0.0494
|
||||
Fri, 16 Sep 2022 16:17:11: Epoch [17/25], Step [1000/1289], Loss: 0.0084
|
||||
Fri, 16 Sep 2022 16:17:12: Epoch [17/25], Step [1050/1289], Loss: 0.0801
|
||||
Fri, 16 Sep 2022 16:17:12: Epoch [17/25], Step [1100/1289], Loss: 0.0234
|
||||
Fri, 16 Sep 2022 16:17:12: Epoch [17/25], Step [1150/1289], Loss: 0.0352
|
||||
Fri, 16 Sep 2022 16:17:13: Epoch [17/25], Step [1200/1289], Loss: 0.0366
|
||||
Fri, 16 Sep 2022 16:17:13: Epoch [17/25], Step [1250/1289], Loss: 0.0270
|
||||
Fri, 16 Sep 2022 16:17:14: Epoch [18/25], Step [50/1289], Loss: 0.0551
|
||||
Fri, 16 Sep 2022 16:17:14: Epoch [18/25], Step [100/1289], Loss: 0.0084
|
||||
Fri, 16 Sep 2022 16:17:14: Epoch [18/25], Step [150/1289], Loss: 0.0175
|
||||
Fri, 16 Sep 2022 16:17:15: Epoch [18/25], Step [200/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 16:17:15: Epoch [18/25], Step [250/1289], Loss: 0.0269
|
||||
Fri, 16 Sep 2022 16:17:15: Epoch [18/25], Step [300/1289], Loss: 0.0106
|
||||
Fri, 16 Sep 2022 16:17:16: Epoch [18/25], Step [350/1289], Loss: 0.0429
|
||||
Fri, 16 Sep 2022 16:17:16: Epoch [18/25], Step [400/1289], Loss: 0.0032
|
||||
Fri, 16 Sep 2022 16:17:16: Epoch [18/25], Step [450/1289], Loss: 0.0774
|
||||
Fri, 16 Sep 2022 16:17:17: Epoch [18/25], Step [500/1289], Loss: 0.0126
|
||||
Fri, 16 Sep 2022 16:17:17: Epoch [18/25], Step [550/1289], Loss: 0.0318
|
||||
Fri, 16 Sep 2022 16:17:17: Epoch [18/25], Step [600/1289], Loss: 0.0708
|
||||
Fri, 16 Sep 2022 16:17:18: Epoch [18/25], Step [650/1289], Loss: 0.0142
|
||||
Fri, 16 Sep 2022 16:17:18: Epoch [18/25], Step [700/1289], Loss: 0.0302
|
||||
Fri, 16 Sep 2022 16:17:18: Epoch [18/25], Step [750/1289], Loss: 0.0060
|
||||
Fri, 16 Sep 2022 16:17:18: Epoch [18/25], Step [800/1289], Loss: 0.1030
|
||||
Fri, 16 Sep 2022 16:17:19: Epoch [18/25], Step [850/1289], Loss: 0.1006
|
||||
Fri, 16 Sep 2022 16:17:19: Epoch [18/25], Step [900/1289], Loss: 0.0292
|
||||
Fri, 16 Sep 2022 16:17:19: Epoch [18/25], Step [950/1289], Loss: 0.0426
|
||||
Fri, 16 Sep 2022 16:17:20: Epoch [18/25], Step [1000/1289], Loss: 0.1422
|
||||
Fri, 16 Sep 2022 16:17:20: Epoch [18/25], Step [1050/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:17:20: Epoch [18/25], Step [1100/1289], Loss: 0.0514
|
||||
Fri, 16 Sep 2022 16:17:21: Epoch [18/25], Step [1150/1289], Loss: 0.0288
|
||||
Fri, 16 Sep 2022 16:17:21: Epoch [18/25], Step [1200/1289], Loss: 0.0521
|
||||
Fri, 16 Sep 2022 16:17:21: Epoch [18/25], Step [1250/1289], Loss: 0.0915
|
||||
Fri, 16 Sep 2022 16:17:22: Epoch [19/25], Step [50/1289], Loss: 0.0605
|
||||
Fri, 16 Sep 2022 16:17:22: Epoch [19/25], Step [100/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:17:23: Epoch [19/25], Step [150/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:17:23: Epoch [19/25], Step [200/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:17:23: Epoch [19/25], Step [250/1289], Loss: 0.0170
|
||||
Fri, 16 Sep 2022 16:17:24: Epoch [19/25], Step [300/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:17:24: Epoch [19/25], Step [350/1289], Loss: 0.0447
|
||||
Fri, 16 Sep 2022 16:17:24: Epoch [19/25], Step [400/1289], Loss: 0.0711
|
||||
Fri, 16 Sep 2022 16:17:25: Epoch [19/25], Step [450/1289], Loss: 0.0150
|
||||
Fri, 16 Sep 2022 16:17:25: Epoch [19/25], Step [500/1289], Loss: 0.0446
|
||||
Fri, 16 Sep 2022 16:17:25: Epoch [19/25], Step [550/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 16:17:26: Epoch [19/25], Step [600/1289], Loss: 0.0182
|
||||
Fri, 16 Sep 2022 16:17:26: Epoch [19/25], Step [650/1289], Loss: 0.0298
|
||||
Fri, 16 Sep 2022 16:17:26: Epoch [19/25], Step [700/1289], Loss: 0.0917
|
||||
Fri, 16 Sep 2022 16:17:27: Epoch [19/25], Step [750/1289], Loss: 0.0593
|
||||
Fri, 16 Sep 2022 16:17:27: Epoch [19/25], Step [800/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:17:27: Epoch [19/25], Step [850/1289], Loss: 0.0169
|
||||
Fri, 16 Sep 2022 16:17:28: Epoch [19/25], Step [900/1289], Loss: 0.0383
|
||||
Fri, 16 Sep 2022 16:17:28: Epoch [19/25], Step [950/1289], Loss: 0.0729
|
||||
Fri, 16 Sep 2022 16:17:28: Epoch [19/25], Step [1000/1289], Loss: 0.0087
|
||||
Fri, 16 Sep 2022 16:17:29: Epoch [19/25], Step [1050/1289], Loss: 0.0117
|
||||
Fri, 16 Sep 2022 16:17:29: Epoch [19/25], Step [1100/1289], Loss: 0.0837
|
||||
Fri, 16 Sep 2022 16:17:29: Epoch [19/25], Step [1150/1289], Loss: 0.0047
|
||||
Fri, 16 Sep 2022 16:17:30: Epoch [19/25], Step [1200/1289], Loss: 0.0207
|
||||
Fri, 16 Sep 2022 16:17:30: Epoch [19/25], Step [1250/1289], Loss: 0.0102
|
||||
Fri, 16 Sep 2022 16:17:30: Epoch [20/25], Step [50/1289], Loss: 0.0116
|
||||
Fri, 16 Sep 2022 16:17:31: Epoch [20/25], Step [100/1289], Loss: 0.0906
|
||||
Fri, 16 Sep 2022 16:17:31: Epoch [20/25], Step [150/1289], Loss: 0.0167
|
||||
Fri, 16 Sep 2022 16:17:31: Epoch [20/25], Step [200/1289], Loss: 0.0199
|
||||
Fri, 16 Sep 2022 16:17:32: Epoch [20/25], Step [250/1289], Loss: 0.0247
|
||||
Fri, 16 Sep 2022 16:17:32: Epoch [20/25], Step [300/1289], Loss: 0.0607
|
||||
Fri, 16 Sep 2022 16:17:32: Epoch [20/25], Step [350/1289], Loss: 0.0223
|
||||
Fri, 16 Sep 2022 16:17:33: Epoch [20/25], Step [400/1289], Loss: 0.0073
|
||||
Fri, 16 Sep 2022 16:17:33: Epoch [20/25], Step [450/1289], Loss: 0.0439
|
||||
Fri, 16 Sep 2022 16:17:33: Epoch [20/25], Step [500/1289], Loss: 0.0043
|
||||
Fri, 16 Sep 2022 16:17:34: Epoch [20/25], Step [550/1289], Loss: 0.0340
|
||||
Fri, 16 Sep 2022 16:17:34: Epoch [20/25], Step [600/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:17:34: Epoch [20/25], Step [650/1289], Loss: 0.0060
|
||||
Fri, 16 Sep 2022 16:17:35: Epoch [20/25], Step [700/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 16:17:35: Epoch [20/25], Step [750/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:17:35: Epoch [20/25], Step [800/1289], Loss: 0.0681
|
||||
Fri, 16 Sep 2022 16:17:36: Epoch [20/25], Step [850/1289], Loss: 0.0875
|
||||
Fri, 16 Sep 2022 16:17:36: Epoch [20/25], Step [900/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 16:17:36: Epoch [20/25], Step [950/1289], Loss: 0.0221
|
||||
Fri, 16 Sep 2022 16:17:37: Epoch [20/25], Step [1000/1289], Loss: 0.0271
|
||||
Fri, 16 Sep 2022 16:17:37: Epoch [20/25], Step [1050/1289], Loss: 0.0894
|
||||
Fri, 16 Sep 2022 16:17:37: Epoch [20/25], Step [1100/1289], Loss: 0.0370
|
||||
Fri, 16 Sep 2022 16:17:38: Epoch [20/25], Step [1150/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:17:38: Epoch [20/25], Step [1200/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:17:38: Epoch [20/25], Step [1250/1289], Loss: 0.0243
|
||||
Fri, 16 Sep 2022 16:17:39: Epoch [21/25], Step [50/1289], Loss: 0.0093
|
||||
Fri, 16 Sep 2022 16:17:39: Epoch [21/25], Step [100/1289], Loss: 0.0200
|
||||
Fri, 16 Sep 2022 16:17:40: Epoch [21/25], Step [150/1289], Loss: 0.0360
|
||||
Fri, 16 Sep 2022 16:17:40: Epoch [21/25], Step [200/1289], Loss: 0.0120
|
||||
Fri, 16 Sep 2022 16:17:40: Epoch [21/25], Step [250/1289], Loss: 0.0696
|
||||
Fri, 16 Sep 2022 16:17:41: Epoch [21/25], Step [300/1289], Loss: 0.0323
|
||||
Fri, 16 Sep 2022 16:17:41: Epoch [21/25], Step [350/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:17:41: Epoch [21/25], Step [400/1289], Loss: 0.1420
|
||||
Fri, 16 Sep 2022 16:17:42: Epoch [21/25], Step [450/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:17:42: Epoch [21/25], Step [500/1289], Loss: 0.0396
|
||||
Fri, 16 Sep 2022 16:17:42: Epoch [21/25], Step [550/1289], Loss: 0.0375
|
||||
Fri, 16 Sep 2022 16:17:43: Epoch [21/25], Step [600/1289], Loss: 0.0996
|
||||
Fri, 16 Sep 2022 16:17:43: Epoch [21/25], Step [650/1289], Loss: 0.0294
|
||||
Fri, 16 Sep 2022 16:17:43: Epoch [21/25], Step [700/1289], Loss: 0.0065
|
||||
Fri, 16 Sep 2022 16:17:43: Epoch [21/25], Step [750/1289], Loss: 0.0433
|
||||
Fri, 16 Sep 2022 16:17:44: Epoch [21/25], Step [800/1289], Loss: 0.0464
|
||||
Fri, 16 Sep 2022 16:17:44: Epoch [21/25], Step [850/1289], Loss: 0.0202
|
||||
Fri, 16 Sep 2022 16:17:44: Epoch [21/25], Step [900/1289], Loss: 0.0219
|
||||
Fri, 16 Sep 2022 16:17:45: Epoch [21/25], Step [950/1289], Loss: 0.0631
|
||||
Fri, 16 Sep 2022 16:17:45: Epoch [21/25], Step [1000/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:17:45: Epoch [21/25], Step [1050/1289], Loss: 0.0136
|
||||
Fri, 16 Sep 2022 16:17:46: Epoch [21/25], Step [1100/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:17:46: Epoch [21/25], Step [1150/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:17:47: Epoch [21/25], Step [1200/1289], Loss: 0.0057
|
||||
Fri, 16 Sep 2022 16:17:47: Epoch [21/25], Step [1250/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 16:17:48: Epoch [22/25], Step [50/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:17:48: Epoch [22/25], Step [100/1289], Loss: 0.0246
|
||||
Fri, 16 Sep 2022 16:17:48: Epoch [22/25], Step [150/1289], Loss: 0.0690
|
||||
Fri, 16 Sep 2022 16:17:49: Epoch [22/25], Step [200/1289], Loss: 0.0119
|
||||
Fri, 16 Sep 2022 16:17:49: Epoch [22/25], Step [250/1289], Loss: 0.0500
|
||||
Fri, 16 Sep 2022 16:17:49: Epoch [22/25], Step [300/1289], Loss: 0.0418
|
||||
Fri, 16 Sep 2022 16:17:50: Epoch [22/25], Step [350/1289], Loss: 0.0079
|
||||
Fri, 16 Sep 2022 16:17:50: Epoch [22/25], Step [400/1289], Loss: 0.0026
|
||||
Fri, 16 Sep 2022 16:17:50: Epoch [22/25], Step [450/1289], Loss: 0.0077
|
||||
Fri, 16 Sep 2022 16:17:51: Epoch [22/25], Step [500/1289], Loss: 0.0206
|
||||
Fri, 16 Sep 2022 16:17:51: Epoch [22/25], Step [550/1289], Loss: 0.0848
|
||||
Fri, 16 Sep 2022 16:17:51: Epoch [22/25], Step [600/1289], Loss: 0.0111
|
||||
Fri, 16 Sep 2022 16:17:52: Epoch [22/25], Step [650/1289], Loss: 0.0371
|
||||
Fri, 16 Sep 2022 16:17:52: Epoch [22/25], Step [700/1289], Loss: 0.1174
|
||||
Fri, 16 Sep 2022 16:17:52: Epoch [22/25], Step [750/1289], Loss: 0.0097
|
||||
Fri, 16 Sep 2022 16:17:53: Epoch [22/25], Step [800/1289], Loss: 0.0423
|
||||
Fri, 16 Sep 2022 16:17:53: Epoch [22/25], Step [850/1289], Loss: 0.0064
|
||||
Fri, 16 Sep 2022 16:17:53: Epoch [22/25], Step [900/1289], Loss: 0.0565
|
||||
Fri, 16 Sep 2022 16:17:54: Epoch [22/25], Step [950/1289], Loss: 0.0130
|
||||
Fri, 16 Sep 2022 16:17:54: Epoch [22/25], Step [1000/1289], Loss: 0.0138
|
||||
Fri, 16 Sep 2022 16:17:54: Epoch [22/25], Step [1050/1289], Loss: 0.0359
|
||||
Fri, 16 Sep 2022 16:17:55: Epoch [22/25], Step [1100/1289], Loss: 0.0620
|
||||
Fri, 16 Sep 2022 16:17:55: Epoch [22/25], Step [1150/1289], Loss: 0.0377
|
||||
Fri, 16 Sep 2022 16:17:55: Epoch [22/25], Step [1200/1289], Loss: 0.0336
|
||||
Fri, 16 Sep 2022 16:17:56: Epoch [22/25], Step [1250/1289], Loss: 0.0178
|
||||
Fri, 16 Sep 2022 16:17:56: Epoch [23/25], Step [50/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:17:56: Epoch [23/25], Step [100/1289], Loss: 0.1019
|
||||
Fri, 16 Sep 2022 16:17:57: Epoch [23/25], Step [150/1289], Loss: 0.0188
|
||||
Fri, 16 Sep 2022 16:17:57: Epoch [23/25], Step [200/1289], Loss: 0.0555
|
||||
Fri, 16 Sep 2022 16:17:57: Epoch [23/25], Step [250/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:17:58: Epoch [23/25], Step [300/1289], Loss: 0.0064
|
||||
Fri, 16 Sep 2022 16:17:58: Epoch [23/25], Step [350/1289], Loss: 0.0084
|
||||
Fri, 16 Sep 2022 16:17:58: Epoch [23/25], Step [400/1289], Loss: 0.0580
|
||||
Fri, 16 Sep 2022 16:17:59: Epoch [23/25], Step [450/1289], Loss: 0.0655
|
||||
Fri, 16 Sep 2022 16:17:59: Epoch [23/25], Step [500/1289], Loss: 0.0053
|
||||
Fri, 16 Sep 2022 16:17:59: Epoch [23/25], Step [550/1289], Loss: 0.0137
|
||||
Fri, 16 Sep 2022 16:18:00: Epoch [23/25], Step [600/1289], Loss: 0.0402
|
||||
Fri, 16 Sep 2022 16:18:00: Epoch [23/25], Step [650/1289], Loss: 0.0695
|
||||
Fri, 16 Sep 2022 16:18:00: Epoch [23/25], Step [700/1289], Loss: 0.0082
|
||||
Fri, 16 Sep 2022 16:18:01: Epoch [23/25], Step [750/1289], Loss: 0.0496
|
||||
Fri, 16 Sep 2022 16:18:01: Epoch [23/25], Step [800/1289], Loss: 0.0668
|
||||
Fri, 16 Sep 2022 16:18:02: Epoch [23/25], Step [850/1289], Loss: 0.0118
|
||||
Fri, 16 Sep 2022 16:18:02: Epoch [23/25], Step [900/1289], Loss: 0.0110
|
||||
Fri, 16 Sep 2022 16:18:02: Epoch [23/25], Step [950/1289], Loss: 0.0061
|
||||
Fri, 16 Sep 2022 16:18:03: Epoch [23/25], Step [1000/1289], Loss: 0.0326
|
||||
Fri, 16 Sep 2022 16:18:03: Epoch [23/25], Step [1050/1289], Loss: 0.0070
|
||||
Fri, 16 Sep 2022 16:18:03: Epoch [23/25], Step [1100/1289], Loss: 0.0165
|
||||
Fri, 16 Sep 2022 16:18:04: Epoch [23/25], Step [1150/1289], Loss: 0.0171
|
||||
Fri, 16 Sep 2022 16:18:04: Epoch [23/25], Step [1200/1289], Loss: 0.0385
|
||||
Fri, 16 Sep 2022 16:18:04: Epoch [23/25], Step [1250/1289], Loss: 0.0366
|
||||
Fri, 16 Sep 2022 16:18:05: Epoch [24/25], Step [50/1289], Loss: 0.0508
|
||||
Fri, 16 Sep 2022 16:18:05: Epoch [24/25], Step [100/1289], Loss: 0.0340
|
||||
Fri, 16 Sep 2022 16:18:05: Epoch [24/25], Step [150/1289], Loss: 0.0107
|
||||
Fri, 16 Sep 2022 16:18:06: Epoch [24/25], Step [200/1289], Loss: 0.0399
|
||||
Fri, 16 Sep 2022 16:18:06: Epoch [24/25], Step [250/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:18:06: Epoch [24/25], Step [300/1289], Loss: 0.0103
|
||||
Fri, 16 Sep 2022 16:18:07: Epoch [24/25], Step [350/1289], Loss: 0.0145
|
||||
Fri, 16 Sep 2022 16:18:07: Epoch [24/25], Step [400/1289], Loss: 0.0197
|
||||
Fri, 16 Sep 2022 16:18:07: Epoch [24/25], Step [450/1289], Loss: 0.0274
|
||||
Fri, 16 Sep 2022 16:18:08: Epoch [24/25], Step [500/1289], Loss: 0.0242
|
||||
Fri, 16 Sep 2022 16:18:08: Epoch [24/25], Step [550/1289], Loss: 0.0134
|
||||
Fri, 16 Sep 2022 16:18:08: Epoch [24/25], Step [600/1289], Loss: 0.0588
|
||||
Fri, 16 Sep 2022 16:18:09: Epoch [24/25], Step [650/1289], Loss: 0.0072
|
||||
Fri, 16 Sep 2022 16:18:09: Epoch [24/25], Step [700/1289], Loss: 0.0664
|
||||
Fri, 16 Sep 2022 16:18:09: Epoch [24/25], Step [750/1289], Loss: 0.0466
|
||||
Fri, 16 Sep 2022 16:18:10: Epoch [24/25], Step [800/1289], Loss: 0.0085
|
||||
Fri, 16 Sep 2022 16:18:10: Epoch [24/25], Step [850/1289], Loss: 0.0554
|
||||
Fri, 16 Sep 2022 16:18:10: Epoch [24/25], Step [900/1289], Loss: 0.0049
|
||||
Fri, 16 Sep 2022 16:18:11: Epoch [24/25], Step [950/1289], Loss: 0.1028
|
||||
Fri, 16 Sep 2022 16:18:11: Epoch [24/25], Step [1000/1289], Loss: 0.0596
|
||||
Fri, 16 Sep 2022 16:18:11: Epoch [24/25], Step [1050/1289], Loss: 0.0595
|
||||
Fri, 16 Sep 2022 16:18:12: Epoch [24/25], Step [1100/1289], Loss: 0.0168
|
||||
Fri, 16 Sep 2022 16:18:12: Epoch [24/25], Step [1150/1289], Loss: 0.0289
|
||||
Fri, 16 Sep 2022 16:18:12: Epoch [24/25], Step [1200/1289], Loss: 0.0486
|
||||
Fri, 16 Sep 2022 16:18:13: Epoch [24/25], Step [1250/1289], Loss: 0.0078
|
||||
Fri, 16 Sep 2022 16:18:13: Epoch [25/25], Step [50/1289], Loss: 0.0151
|
||||
Fri, 16 Sep 2022 16:18:14: Epoch [25/25], Step [100/1289], Loss: 0.0185
|
||||
Fri, 16 Sep 2022 16:18:14: Epoch [25/25], Step [150/1289], Loss: 0.0452
|
||||
Fri, 16 Sep 2022 16:18:14: Epoch [25/25], Step [200/1289], Loss: 0.0376
|
||||
Fri, 16 Sep 2022 16:18:15: Epoch [25/25], Step [250/1289], Loss: 0.0557
|
||||
Fri, 16 Sep 2022 16:18:15: Epoch [25/25], Step [300/1289], Loss: 0.0428
|
||||
Fri, 16 Sep 2022 16:18:15: Epoch [25/25], Step [350/1289], Loss: 0.0728
|
||||
Fri, 16 Sep 2022 16:18:16: Epoch [25/25], Step [400/1289], Loss: 0.0502
|
||||
Fri, 16 Sep 2022 16:18:16: Epoch [25/25], Step [450/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:18:16: Epoch [25/25], Step [500/1289], Loss: 0.0099
|
||||
Fri, 16 Sep 2022 16:18:17: Epoch [25/25], Step [550/1289], Loss: 0.0434
|
||||
Fri, 16 Sep 2022 16:18:17: Epoch [25/25], Step [600/1289], Loss: 0.0143
|
||||
Fri, 16 Sep 2022 16:18:17: Epoch [25/25], Step [650/1289], Loss: 0.0468
|
||||
Fri, 16 Sep 2022 16:18:18: Epoch [25/25], Step [700/1289], Loss: 0.0306
|
||||
Fri, 16 Sep 2022 16:18:18: Epoch [25/25], Step [750/1289], Loss: 0.0121
|
||||
Fri, 16 Sep 2022 16:18:18: Epoch [25/25], Step [800/1289], Loss: 0.0264
|
||||
Fri, 16 Sep 2022 16:18:19: Epoch [25/25], Step [850/1289], Loss: 0.0163
|
||||
Fri, 16 Sep 2022 16:18:19: Epoch [25/25], Step [900/1289], Loss: 0.0132
|
||||
Fri, 16 Sep 2022 16:18:19: Epoch [25/25], Step [950/1289], Loss: 0.0307
|
||||
Fri, 16 Sep 2022 16:18:20: Epoch [25/25], Step [1000/1289], Loss: 0.0112
|
||||
Fri, 16 Sep 2022 16:18:20: Epoch [25/25], Step [1050/1289], Loss: 0.0062
|
||||
Fri, 16 Sep 2022 16:18:20: Epoch [25/25], Step [1100/1289], Loss: 0.0028
|
||||
Fri, 16 Sep 2022 16:18:21: Epoch [25/25], Step [1150/1289], Loss: 0.0250
|
||||
Fri, 16 Sep 2022 16:18:21: Epoch [25/25], Step [1200/1289], Loss: 0.0122
|
||||
Fri, 16 Sep 2022 16:18:21: Epoch [25/25], Step [1250/1289], Loss: 0.0629
|
||||
Fri, 16 Sep 2022 16:18:22: start testing on test dataset
|
||||
Fri, 16 Sep 2022 16:18:23: f1 :0.9669242066279293
|
||||
Fri, 16 Sep 2022 16:18:23:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9461 0.9925 0.9687 16162
|
||||
1 0.9920 0.9431 0.9669 16057
|
||||
|
||||
accuracy 0.9678 32219
|
||||
macro avg 0.9690 0.9678 0.9678 32219
|
||||
weighted avg 0.9690 0.9678 0.9678 32219
|
||||
|
||||
Fri, 16 Sep 2022 16:18:23:
|
||||
[[16040 122]
|
||||
[ 914 15143]]
|
||||
Fri, 16 Sep 2022 16:18:23: high_num,high_true,high_false:5602,5227,375
|
||||
Fri, 16 Sep 2022 16:18:23: low_num,low_true,low_false:10455,9916,539
|
||||
BIN
代码/sequenceShield/新小论文数据/pic/cicddos2019.pdf
Normal file
BIN
代码/sequenceShield/新小论文数据/pic/cicddos2019.pdf
Normal file
Binary file not shown.
BIN
代码/sequenceShield/新小论文数据/pic/cicdos2017.pdf
Normal file
BIN
代码/sequenceShield/新小论文数据/pic/cicdos2017.pdf
Normal file
Binary file not shown.
647
代码/sequenceShield/新小论文数据/ss-RNN-cicddos2019.log
Normal file
647
代码/sequenceShield/新小论文数据/ss-RNN-cicddos2019.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Thu, 15 Sep 2022 09:32:29: -------------
|
||||
Thu, 15 Sep 2022 09:32:29: cuda is_available:True
|
||||
Thu, 15 Sep 2022 09:32:29: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Thu, 15 Sep 2022 09:32:29: get protocols:
|
||||
Thu, 15 Sep 2022 09:32:29: reading csv file: all.csv
|
||||
Thu, 15 Sep 2022 09:34:13: procols num: 484
|
||||
Thu, 15 Sep 2022 09:34:13: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Thu, 15 Sep 2022 09:34:15: preprocessing file ./cicddos2019/label/all.csv
|
||||
Thu, 15 Sep 2022 09:35:09: before sampling number_1:1546004
|
||||
Thu, 15 Sep 2022 09:35:09: before sampling number_0:20691
|
||||
Thu, 15 Sep 2022 09:58:04: start training ./cicddos2019/label/all.csv
|
||||
Thu, 15 Sep 2022 09:58:14: Epoch [1/10], Step [200/12534], Loss: 0.4172
|
||||
Thu, 15 Sep 2022 09:58:24: Epoch [1/10], Step [400/12534], Loss: 0.1180
|
||||
Thu, 15 Sep 2022 09:58:34: Epoch [1/10], Step [600/12534], Loss: 0.0422
|
||||
Thu, 15 Sep 2022 09:58:44: Epoch [1/10], Step [800/12534], Loss: 0.0830
|
||||
Thu, 15 Sep 2022 09:58:54: Epoch [1/10], Step [1000/12534], Loss: 0.0138
|
||||
Thu, 15 Sep 2022 09:59:04: Epoch [1/10], Step [1200/12534], Loss: 0.0511
|
||||
Thu, 15 Sep 2022 09:59:14: Epoch [1/10], Step [1400/12534], Loss: 0.0483
|
||||
Thu, 15 Sep 2022 09:59:24: Epoch [1/10], Step [1600/12534], Loss: 0.0197
|
||||
Thu, 15 Sep 2022 09:59:34: Epoch [1/10], Step [1800/12534], Loss: 0.0451
|
||||
Thu, 15 Sep 2022 09:59:44: Epoch [1/10], Step [2000/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 09:59:55: Epoch [1/10], Step [2200/12534], Loss: 0.0064
|
||||
Thu, 15 Sep 2022 10:00:06: Epoch [1/10], Step [2400/12534], Loss: 0.0202
|
||||
Thu, 15 Sep 2022 10:00:16: Epoch [1/10], Step [2600/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 10:00:26: Epoch [1/10], Step [2800/12534], Loss: 0.0033
|
||||
Thu, 15 Sep 2022 10:00:36: Epoch [1/10], Step [3000/12534], Loss: 0.0171
|
||||
Thu, 15 Sep 2022 10:00:47: Epoch [1/10], Step [3200/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 10:00:57: Epoch [1/10], Step [3400/12534], Loss: 0.0484
|
||||
Thu, 15 Sep 2022 10:01:07: Epoch [1/10], Step [3600/12534], Loss: 0.0110
|
||||
Thu, 15 Sep 2022 10:01:17: Epoch [1/10], Step [3800/12534], Loss: 0.0455
|
||||
Thu, 15 Sep 2022 10:01:27: Epoch [1/10], Step [4000/12534], Loss: 0.0338
|
||||
Thu, 15 Sep 2022 10:01:37: Epoch [1/10], Step [4200/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:01:47: Epoch [1/10], Step [4400/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 10:01:57: Epoch [1/10], Step [4600/12534], Loss: 0.0392
|
||||
Thu, 15 Sep 2022 10:02:07: Epoch [1/10], Step [4800/12534], Loss: 0.0094
|
||||
Thu, 15 Sep 2022 10:02:17: Epoch [1/10], Step [5000/12534], Loss: 0.0106
|
||||
Thu, 15 Sep 2022 10:02:27: Epoch [1/10], Step [5200/12534], Loss: 0.0119
|
||||
Thu, 15 Sep 2022 10:02:37: Epoch [1/10], Step [5400/12534], Loss: 0.0485
|
||||
Thu, 15 Sep 2022 10:02:47: Epoch [1/10], Step [5600/12534], Loss: 0.0418
|
||||
Thu, 15 Sep 2022 10:02:57: Epoch [1/10], Step [5800/12534], Loss: 0.0738
|
||||
Thu, 15 Sep 2022 10:03:07: Epoch [1/10], Step [6000/12534], Loss: 0.0324
|
||||
Thu, 15 Sep 2022 10:03:17: Epoch [1/10], Step [6200/12534], Loss: 0.0095
|
||||
Thu, 15 Sep 2022 10:03:27: Epoch [1/10], Step [6400/12534], Loss: 0.0083
|
||||
Thu, 15 Sep 2022 10:03:37: Epoch [1/10], Step [6600/12534], Loss: 0.0382
|
||||
Thu, 15 Sep 2022 10:03:48: Epoch [1/10], Step [6800/12534], Loss: 0.0083
|
||||
Thu, 15 Sep 2022 10:03:58: Epoch [1/10], Step [7000/12534], Loss: 0.0173
|
||||
Thu, 15 Sep 2022 10:04:08: Epoch [1/10], Step [7200/12534], Loss: 0.0821
|
||||
Thu, 15 Sep 2022 10:04:18: Epoch [1/10], Step [7400/12534], Loss: 0.0324
|
||||
Thu, 15 Sep 2022 10:04:28: Epoch [1/10], Step [7600/12534], Loss: 0.1388
|
||||
Thu, 15 Sep 2022 10:04:38: Epoch [1/10], Step [7800/12534], Loss: 0.0421
|
||||
Thu, 15 Sep 2022 10:04:48: Epoch [1/10], Step [8000/12534], Loss: 0.0332
|
||||
Thu, 15 Sep 2022 10:04:58: Epoch [1/10], Step [8200/12534], Loss: 0.0099
|
||||
Thu, 15 Sep 2022 10:05:08: Epoch [1/10], Step [8400/12534], Loss: 0.0082
|
||||
Thu, 15 Sep 2022 10:05:18: Epoch [1/10], Step [8600/12534], Loss: 0.0768
|
||||
Thu, 15 Sep 2022 10:05:28: Epoch [1/10], Step [8800/12534], Loss: 0.0091
|
||||
Thu, 15 Sep 2022 10:05:39: Epoch [1/10], Step [9000/12534], Loss: 0.0479
|
||||
Thu, 15 Sep 2022 10:05:49: Epoch [1/10], Step [9200/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:05:59: Epoch [1/10], Step [9400/12534], Loss: 0.0535
|
||||
Thu, 15 Sep 2022 10:06:09: Epoch [1/10], Step [9600/12534], Loss: 0.0178
|
||||
Thu, 15 Sep 2022 10:06:20: Epoch [1/10], Step [9800/12534], Loss: 0.0448
|
||||
Thu, 15 Sep 2022 10:06:30: Epoch [1/10], Step [10000/12534], Loss: 0.0984
|
||||
Thu, 15 Sep 2022 10:06:40: Epoch [1/10], Step [10200/12534], Loss: 0.0175
|
||||
Thu, 15 Sep 2022 10:06:50: Epoch [1/10], Step [10400/12534], Loss: 0.0081
|
||||
Thu, 15 Sep 2022 10:07:00: Epoch [1/10], Step [10600/12534], Loss: 0.0229
|
||||
Thu, 15 Sep 2022 10:07:09: Epoch [1/10], Step [10800/12534], Loss: 0.0569
|
||||
Thu, 15 Sep 2022 10:07:19: Epoch [1/10], Step [11000/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 10:07:29: Epoch [1/10], Step [11200/12534], Loss: 0.0356
|
||||
Thu, 15 Sep 2022 10:07:39: Epoch [1/10], Step [11400/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 10:07:49: Epoch [1/10], Step [11600/12534], Loss: 0.3616
|
||||
Thu, 15 Sep 2022 10:08:00: Epoch [1/10], Step [11800/12534], Loss: 0.0325
|
||||
Thu, 15 Sep 2022 10:08:10: Epoch [1/10], Step [12000/12534], Loss: 0.0447
|
||||
Thu, 15 Sep 2022 10:08:21: Epoch [1/10], Step [12200/12534], Loss: 0.0252
|
||||
Thu, 15 Sep 2022 10:08:31: Epoch [1/10], Step [12400/12534], Loss: 0.0524
|
||||
Thu, 15 Sep 2022 10:08:49: Epoch [2/10], Step [200/12534], Loss: 0.0380
|
||||
Thu, 15 Sep 2022 10:09:00: Epoch [2/10], Step [400/12534], Loss: 0.1446
|
||||
Thu, 15 Sep 2022 10:09:10: Epoch [2/10], Step [600/12534], Loss: 0.0050
|
||||
Thu, 15 Sep 2022 10:09:20: Epoch [2/10], Step [800/12534], Loss: 0.0045
|
||||
Thu, 15 Sep 2022 10:09:31: Epoch [2/10], Step [1000/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 10:09:41: Epoch [2/10], Step [1200/12534], Loss: 0.0412
|
||||
Thu, 15 Sep 2022 10:09:51: Epoch [2/10], Step [1400/12534], Loss: 0.0531
|
||||
Thu, 15 Sep 2022 10:10:01: Epoch [2/10], Step [1600/12534], Loss: 0.0423
|
||||
Thu, 15 Sep 2022 10:10:11: Epoch [2/10], Step [1800/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 10:10:21: Epoch [2/10], Step [2000/12534], Loss: 0.2180
|
||||
Thu, 15 Sep 2022 10:10:32: Epoch [2/10], Step [2200/12534], Loss: 0.0396
|
||||
Thu, 15 Sep 2022 10:10:42: Epoch [2/10], Step [2400/12534], Loss: 0.0986
|
||||
Thu, 15 Sep 2022 10:10:52: Epoch [2/10], Step [2600/12534], Loss: 0.0441
|
||||
Thu, 15 Sep 2022 10:11:03: Epoch [2/10], Step [2800/12534], Loss: 0.0102
|
||||
Thu, 15 Sep 2022 10:11:13: Epoch [2/10], Step [3000/12534], Loss: 0.0583
|
||||
Thu, 15 Sep 2022 10:11:23: Epoch [2/10], Step [3200/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 10:11:33: Epoch [2/10], Step [3400/12534], Loss: 0.1097
|
||||
Thu, 15 Sep 2022 10:11:42: Epoch [2/10], Step [3600/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 10:11:52: Epoch [2/10], Step [3800/12534], Loss: 0.0881
|
||||
Thu, 15 Sep 2022 10:12:02: Epoch [2/10], Step [4000/12534], Loss: 0.0052
|
||||
Thu, 15 Sep 2022 10:12:12: Epoch [2/10], Step [4200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 10:12:22: Epoch [2/10], Step [4400/12534], Loss: 0.0047
|
||||
Thu, 15 Sep 2022 10:12:32: Epoch [2/10], Step [4600/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 10:12:42: Epoch [2/10], Step [4800/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 10:12:52: Epoch [2/10], Step [5000/12534], Loss: 0.0215
|
||||
Thu, 15 Sep 2022 10:13:02: Epoch [2/10], Step [5200/12534], Loss: 0.0675
|
||||
Thu, 15 Sep 2022 10:13:12: Epoch [2/10], Step [5400/12534], Loss: 0.0112
|
||||
Thu, 15 Sep 2022 10:13:22: Epoch [2/10], Step [5600/12534], Loss: 0.0093
|
||||
Thu, 15 Sep 2022 10:13:32: Epoch [2/10], Step [5800/12534], Loss: 0.0346
|
||||
Thu, 15 Sep 2022 10:13:41: Epoch [2/10], Step [6000/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 10:13:51: Epoch [2/10], Step [6200/12534], Loss: 0.1015
|
||||
Thu, 15 Sep 2022 10:14:00: Epoch [2/10], Step [6400/12534], Loss: 0.0112
|
||||
Thu, 15 Sep 2022 10:14:10: Epoch [2/10], Step [6600/12534], Loss: 0.0289
|
||||
Thu, 15 Sep 2022 10:14:20: Epoch [2/10], Step [6800/12534], Loss: 0.0079
|
||||
Thu, 15 Sep 2022 10:14:29: Epoch [2/10], Step [7000/12534], Loss: 0.0097
|
||||
Thu, 15 Sep 2022 10:14:39: Epoch [2/10], Step [7200/12534], Loss: 0.0075
|
||||
Thu, 15 Sep 2022 10:14:49: Epoch [2/10], Step [7400/12534], Loss: 0.0111
|
||||
Thu, 15 Sep 2022 10:14:59: Epoch [2/10], Step [7600/12534], Loss: 0.0470
|
||||
Thu, 15 Sep 2022 10:15:09: Epoch [2/10], Step [7800/12534], Loss: 0.0868
|
||||
Thu, 15 Sep 2022 10:15:19: Epoch [2/10], Step [8000/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 10:15:28: Epoch [2/10], Step [8200/12534], Loss: 0.0393
|
||||
Thu, 15 Sep 2022 10:15:38: Epoch [2/10], Step [8400/12534], Loss: 0.0412
|
||||
Thu, 15 Sep 2022 10:15:48: Epoch [2/10], Step [8600/12534], Loss: 0.0564
|
||||
Thu, 15 Sep 2022 10:15:58: Epoch [2/10], Step [8800/12534], Loss: 0.0690
|
||||
Thu, 15 Sep 2022 10:16:08: Epoch [2/10], Step [9000/12534], Loss: 0.0034
|
||||
Thu, 15 Sep 2022 10:16:17: Epoch [2/10], Step [9200/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 10:16:27: Epoch [2/10], Step [9400/12534], Loss: 0.0048
|
||||
Thu, 15 Sep 2022 10:16:37: Epoch [2/10], Step [9600/12534], Loss: 0.0636
|
||||
Thu, 15 Sep 2022 10:16:47: Epoch [2/10], Step [9800/12534], Loss: 0.0451
|
||||
Thu, 15 Sep 2022 10:16:57: Epoch [2/10], Step [10000/12534], Loss: 0.0174
|
||||
Thu, 15 Sep 2022 10:17:06: Epoch [2/10], Step [10200/12534], Loss: 0.0633
|
||||
Thu, 15 Sep 2022 10:17:16: Epoch [2/10], Step [10400/12534], Loss: 0.1128
|
||||
Thu, 15 Sep 2022 10:17:26: Epoch [2/10], Step [10600/12534], Loss: 0.0073
|
||||
Thu, 15 Sep 2022 10:17:36: Epoch [2/10], Step [10800/12534], Loss: 0.0433
|
||||
Thu, 15 Sep 2022 10:17:46: Epoch [2/10], Step [11000/12534], Loss: 0.0879
|
||||
Thu, 15 Sep 2022 10:17:56: Epoch [2/10], Step [11200/12534], Loss: 0.0591
|
||||
Thu, 15 Sep 2022 10:18:06: Epoch [2/10], Step [11400/12534], Loss: 0.0715
|
||||
Thu, 15 Sep 2022 10:18:15: Epoch [2/10], Step [11600/12534], Loss: 0.0781
|
||||
Thu, 15 Sep 2022 10:18:25: Epoch [2/10], Step [11800/12534], Loss: 0.0278
|
||||
Thu, 15 Sep 2022 10:18:35: Epoch [2/10], Step [12000/12534], Loss: 0.0745
|
||||
Thu, 15 Sep 2022 10:18:45: Epoch [2/10], Step [12200/12534], Loss: 0.0074
|
||||
Thu, 15 Sep 2022 10:18:56: Epoch [2/10], Step [12400/12534], Loss: 0.0750
|
||||
Thu, 15 Sep 2022 10:19:13: Epoch [3/10], Step [200/12534], Loss: 0.0579
|
||||
Thu, 15 Sep 2022 10:19:23: Epoch [3/10], Step [400/12534], Loss: 0.0060
|
||||
Thu, 15 Sep 2022 10:19:33: Epoch [3/10], Step [600/12534], Loss: 0.0178
|
||||
Thu, 15 Sep 2022 10:19:43: Epoch [3/10], Step [800/12534], Loss: 0.0658
|
||||
Thu, 15 Sep 2022 10:19:53: Epoch [3/10], Step [1000/12534], Loss: 0.0124
|
||||
Thu, 15 Sep 2022 10:20:03: Epoch [3/10], Step [1200/12534], Loss: 0.0059
|
||||
Thu, 15 Sep 2022 10:20:13: Epoch [3/10], Step [1400/12534], Loss: 0.0230
|
||||
Thu, 15 Sep 2022 10:20:22: Epoch [3/10], Step [1600/12534], Loss: 0.0081
|
||||
Thu, 15 Sep 2022 10:20:32: Epoch [3/10], Step [1800/12534], Loss: 0.0725
|
||||
Thu, 15 Sep 2022 10:20:41: Epoch [3/10], Step [2000/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 10:20:51: Epoch [3/10], Step [2200/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 10:21:01: Epoch [3/10], Step [2400/12534], Loss: 0.0946
|
||||
Thu, 15 Sep 2022 10:21:10: Epoch [3/10], Step [2600/12534], Loss: 0.0197
|
||||
Thu, 15 Sep 2022 10:21:20: Epoch [3/10], Step [2800/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 10:21:30: Epoch [3/10], Step [3000/12534], Loss: 0.1256
|
||||
Thu, 15 Sep 2022 10:21:40: Epoch [3/10], Step [3200/12534], Loss: 0.0522
|
||||
Thu, 15 Sep 2022 10:21:50: Epoch [3/10], Step [3400/12534], Loss: 0.0238
|
||||
Thu, 15 Sep 2022 10:22:00: Epoch [3/10], Step [3600/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 10:22:10: Epoch [3/10], Step [3800/12534], Loss: 0.0086
|
||||
Thu, 15 Sep 2022 10:22:20: Epoch [3/10], Step [4000/12534], Loss: 0.0295
|
||||
Thu, 15 Sep 2022 10:22:30: Epoch [3/10], Step [4200/12534], Loss: 0.0581
|
||||
Thu, 15 Sep 2022 10:22:40: Epoch [3/10], Step [4400/12534], Loss: 0.0338
|
||||
Thu, 15 Sep 2022 10:22:50: Epoch [3/10], Step [4600/12534], Loss: 0.0624
|
||||
Thu, 15 Sep 2022 10:23:00: Epoch [3/10], Step [4800/12534], Loss: 0.0372
|
||||
Thu, 15 Sep 2022 10:23:10: Epoch [3/10], Step [5000/12534], Loss: 0.0200
|
||||
Thu, 15 Sep 2022 10:23:20: Epoch [3/10], Step [5200/12534], Loss: 0.0226
|
||||
Thu, 15 Sep 2022 10:23:30: Epoch [3/10], Step [5400/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 10:23:40: Epoch [3/10], Step [5600/12534], Loss: 0.0045
|
||||
Thu, 15 Sep 2022 10:23:50: Epoch [3/10], Step [5800/12534], Loss: 0.0068
|
||||
Thu, 15 Sep 2022 10:24:00: Epoch [3/10], Step [6000/12534], Loss: 0.0110
|
||||
Thu, 15 Sep 2022 10:24:10: Epoch [3/10], Step [6200/12534], Loss: 0.0936
|
||||
Thu, 15 Sep 2022 10:24:20: Epoch [3/10], Step [6400/12534], Loss: 0.0122
|
||||
Thu, 15 Sep 2022 10:24:30: Epoch [3/10], Step [6600/12534], Loss: 0.1165
|
||||
Thu, 15 Sep 2022 10:24:41: Epoch [3/10], Step [6800/12534], Loss: 0.1311
|
||||
Thu, 15 Sep 2022 10:24:51: Epoch [3/10], Step [7000/12534], Loss: 0.2682
|
||||
Thu, 15 Sep 2022 10:25:01: Epoch [3/10], Step [7200/12534], Loss: 0.0229
|
||||
Thu, 15 Sep 2022 10:25:11: Epoch [3/10], Step [7400/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 10:25:21: Epoch [3/10], Step [7600/12534], Loss: 0.0247
|
||||
Thu, 15 Sep 2022 10:25:31: Epoch [3/10], Step [7800/12534], Loss: 0.1066
|
||||
Thu, 15 Sep 2022 10:25:41: Epoch [3/10], Step [8000/12534], Loss: 0.0427
|
||||
Thu, 15 Sep 2022 10:25:51: Epoch [3/10], Step [8200/12534], Loss: 0.0053
|
||||
Thu, 15 Sep 2022 10:26:02: Epoch [3/10], Step [8400/12534], Loss: 0.0448
|
||||
Thu, 15 Sep 2022 10:26:12: Epoch [3/10], Step [8600/12534], Loss: 0.0482
|
||||
Thu, 15 Sep 2022 10:26:22: Epoch [3/10], Step [8800/12534], Loss: 0.1582
|
||||
Thu, 15 Sep 2022 10:26:32: Epoch [3/10], Step [9000/12534], Loss: 0.0221
|
||||
Thu, 15 Sep 2022 10:26:42: Epoch [3/10], Step [9200/12534], Loss: 0.3903
|
||||
Thu, 15 Sep 2022 10:26:51: Epoch [3/10], Step [9400/12534], Loss: 0.0114
|
||||
Thu, 15 Sep 2022 10:27:01: Epoch [3/10], Step [9600/12534], Loss: 0.0792
|
||||
Thu, 15 Sep 2022 10:27:12: Epoch [3/10], Step [9800/12534], Loss: 0.0045
|
||||
Thu, 15 Sep 2022 10:27:21: Epoch [3/10], Step [10000/12534], Loss: 0.0428
|
||||
Thu, 15 Sep 2022 10:27:31: Epoch [3/10], Step [10200/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 10:27:41: Epoch [3/10], Step [10400/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 10:27:51: Epoch [3/10], Step [10600/12534], Loss: 0.0471
|
||||
Thu, 15 Sep 2022 10:28:01: Epoch [3/10], Step [10800/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 10:28:11: Epoch [3/10], Step [11000/12534], Loss: 0.1086
|
||||
Thu, 15 Sep 2022 10:28:21: Epoch [3/10], Step [11200/12534], Loss: 0.0286
|
||||
Thu, 15 Sep 2022 10:28:31: Epoch [3/10], Step [11400/12534], Loss: 0.0047
|
||||
Thu, 15 Sep 2022 10:28:41: Epoch [3/10], Step [11600/12534], Loss: 0.0075
|
||||
Thu, 15 Sep 2022 10:28:51: Epoch [3/10], Step [11800/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 10:29:01: Epoch [3/10], Step [12000/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 10:29:11: Epoch [3/10], Step [12200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 10:29:21: Epoch [3/10], Step [12400/12534], Loss: 0.0282
|
||||
Thu, 15 Sep 2022 10:29:38: Epoch [4/10], Step [200/12534], Loss: 0.0050
|
||||
Thu, 15 Sep 2022 10:29:48: Epoch [4/10], Step [400/12534], Loss: 0.0621
|
||||
Thu, 15 Sep 2022 10:29:58: Epoch [4/10], Step [600/12534], Loss: 0.0057
|
||||
Thu, 15 Sep 2022 10:30:08: Epoch [4/10], Step [800/12534], Loss: 0.0559
|
||||
Thu, 15 Sep 2022 10:30:18: Epoch [4/10], Step [1000/12534], Loss: 0.0048
|
||||
Thu, 15 Sep 2022 10:30:29: Epoch [4/10], Step [1200/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 10:30:38: Epoch [4/10], Step [1400/12534], Loss: 0.0628
|
||||
Thu, 15 Sep 2022 10:30:49: Epoch [4/10], Step [1600/12534], Loss: 0.2447
|
||||
Thu, 15 Sep 2022 10:30:58: Epoch [4/10], Step [1800/12534], Loss: 0.0217
|
||||
Thu, 15 Sep 2022 10:31:09: Epoch [4/10], Step [2000/12534], Loss: 0.1052
|
||||
Thu, 15 Sep 2022 10:31:19: Epoch [4/10], Step [2200/12534], Loss: 0.1279
|
||||
Thu, 15 Sep 2022 10:31:29: Epoch [4/10], Step [2400/12534], Loss: 0.0533
|
||||
Thu, 15 Sep 2022 10:31:38: Epoch [4/10], Step [2600/12534], Loss: 0.1359
|
||||
Thu, 15 Sep 2022 10:31:48: Epoch [4/10], Step [2800/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 10:31:58: Epoch [4/10], Step [3000/12534], Loss: 0.0749
|
||||
Thu, 15 Sep 2022 10:32:08: Epoch [4/10], Step [3200/12534], Loss: 0.0793
|
||||
Thu, 15 Sep 2022 10:32:18: Epoch [4/10], Step [3400/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 10:32:29: Epoch [4/10], Step [3600/12534], Loss: 0.0544
|
||||
Thu, 15 Sep 2022 10:32:39: Epoch [4/10], Step [3800/12534], Loss: 0.0123
|
||||
Thu, 15 Sep 2022 10:32:49: Epoch [4/10], Step [4000/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 10:32:59: Epoch [4/10], Step [4200/12534], Loss: 0.0799
|
||||
Thu, 15 Sep 2022 10:33:09: Epoch [4/10], Step [4400/12534], Loss: 0.0155
|
||||
Thu, 15 Sep 2022 10:33:19: Epoch [4/10], Step [4600/12534], Loss: 0.0649
|
||||
Thu, 15 Sep 2022 10:33:29: Epoch [4/10], Step [4800/12534], Loss: 0.0496
|
||||
Thu, 15 Sep 2022 10:33:39: Epoch [4/10], Step [5000/12534], Loss: 0.3092
|
||||
Thu, 15 Sep 2022 10:33:49: Epoch [4/10], Step [5200/12534], Loss: 0.0255
|
||||
Thu, 15 Sep 2022 10:33:59: Epoch [4/10], Step [5400/12534], Loss: 0.0914
|
||||
Thu, 15 Sep 2022 10:34:08: Epoch [4/10], Step [5600/12534], Loss: 0.0189
|
||||
Thu, 15 Sep 2022 10:34:18: Epoch [4/10], Step [5800/12534], Loss: 0.0062
|
||||
Thu, 15 Sep 2022 10:34:28: Epoch [4/10], Step [6000/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 10:34:38: Epoch [4/10], Step [6200/12534], Loss: 0.0653
|
||||
Thu, 15 Sep 2022 10:34:48: Epoch [4/10], Step [6400/12534], Loss: 0.0066
|
||||
Thu, 15 Sep 2022 10:34:58: Epoch [4/10], Step [6600/12534], Loss: 0.0125
|
||||
Thu, 15 Sep 2022 10:35:08: Epoch [4/10], Step [6800/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 10:35:18: Epoch [4/10], Step [7000/12534], Loss: 0.0141
|
||||
Thu, 15 Sep 2022 10:35:28: Epoch [4/10], Step [7200/12534], Loss: 0.0116
|
||||
Thu, 15 Sep 2022 10:35:38: Epoch [4/10], Step [7400/12534], Loss: 0.1237
|
||||
Thu, 15 Sep 2022 10:35:48: Epoch [4/10], Step [7600/12534], Loss: 0.1081
|
||||
Thu, 15 Sep 2022 10:35:57: Epoch [4/10], Step [7800/12534], Loss: 0.0319
|
||||
Thu, 15 Sep 2022 10:36:07: Epoch [4/10], Step [8000/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:36:17: Epoch [4/10], Step [8200/12534], Loss: 0.0141
|
||||
Thu, 15 Sep 2022 10:36:28: Epoch [4/10], Step [8400/12534], Loss: 0.0544
|
||||
Thu, 15 Sep 2022 10:36:38: Epoch [4/10], Step [8600/12534], Loss: 0.0814
|
||||
Thu, 15 Sep 2022 10:36:47: Epoch [4/10], Step [8800/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 10:36:57: Epoch [4/10], Step [9000/12534], Loss: 0.0527
|
||||
Thu, 15 Sep 2022 10:37:07: Epoch [4/10], Step [9200/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 10:37:17: Epoch [4/10], Step [9400/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:37:28: Epoch [4/10], Step [9600/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 10:37:38: Epoch [4/10], Step [9800/12534], Loss: 0.0581
|
||||
Thu, 15 Sep 2022 10:37:48: Epoch [4/10], Step [10000/12534], Loss: 0.1760
|
||||
Thu, 15 Sep 2022 10:37:58: Epoch [4/10], Step [10200/12534], Loss: 0.0499
|
||||
Thu, 15 Sep 2022 10:38:08: Epoch [4/10], Step [10400/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 10:38:18: Epoch [4/10], Step [10600/12534], Loss: 0.0062
|
||||
Thu, 15 Sep 2022 10:38:28: Epoch [4/10], Step [10800/12534], Loss: 0.0222
|
||||
Thu, 15 Sep 2022 10:38:38: Epoch [4/10], Step [11000/12534], Loss: 0.0511
|
||||
Thu, 15 Sep 2022 10:38:48: Epoch [4/10], Step [11200/12534], Loss: 0.0058
|
||||
Thu, 15 Sep 2022 10:38:58: Epoch [4/10], Step [11400/12534], Loss: 0.0359
|
||||
Thu, 15 Sep 2022 10:39:08: Epoch [4/10], Step [11600/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 10:39:18: Epoch [4/10], Step [11800/12534], Loss: 0.0425
|
||||
Thu, 15 Sep 2022 10:39:28: Epoch [4/10], Step [12000/12534], Loss: 0.0109
|
||||
Thu, 15 Sep 2022 10:39:38: Epoch [4/10], Step [12200/12534], Loss: 0.0728
|
||||
Thu, 15 Sep 2022 10:39:47: Epoch [4/10], Step [12400/12534], Loss: 0.2688
|
||||
Thu, 15 Sep 2022 10:40:04: Epoch [5/10], Step [200/12534], Loss: 0.0507
|
||||
Thu, 15 Sep 2022 10:40:15: Epoch [5/10], Step [400/12534], Loss: 0.1425
|
||||
Thu, 15 Sep 2022 10:40:25: Epoch [5/10], Step [600/12534], Loss: 0.0377
|
||||
Thu, 15 Sep 2022 10:40:35: Epoch [5/10], Step [800/12534], Loss: 0.0077
|
||||
Thu, 15 Sep 2022 10:40:45: Epoch [5/10], Step [1000/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 10:40:55: Epoch [5/10], Step [1200/12534], Loss: 0.1012
|
||||
Thu, 15 Sep 2022 10:41:04: Epoch [5/10], Step [1400/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 10:41:15: Epoch [5/10], Step [1600/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:41:25: Epoch [5/10], Step [1800/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 10:41:35: Epoch [5/10], Step [2000/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 10:41:45: Epoch [5/10], Step [2200/12534], Loss: 0.0502
|
||||
Thu, 15 Sep 2022 10:41:54: Epoch [5/10], Step [2400/12534], Loss: 0.0036
|
||||
Thu, 15 Sep 2022 10:42:04: Epoch [5/10], Step [2600/12534], Loss: 0.0527
|
||||
Thu, 15 Sep 2022 10:42:15: Epoch [5/10], Step [2800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 10:42:25: Epoch [5/10], Step [3000/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 10:42:35: Epoch [5/10], Step [3200/12534], Loss: 0.0053
|
||||
Thu, 15 Sep 2022 10:42:45: Epoch [5/10], Step [3400/12534], Loss: 0.0478
|
||||
Thu, 15 Sep 2022 10:42:55: Epoch [5/10], Step [3600/12534], Loss: 0.0244
|
||||
Thu, 15 Sep 2022 10:43:05: Epoch [5/10], Step [3800/12534], Loss: 0.0544
|
||||
Thu, 15 Sep 2022 10:43:15: Epoch [5/10], Step [4000/12534], Loss: 0.0236
|
||||
Thu, 15 Sep 2022 10:43:25: Epoch [5/10], Step [4200/12534], Loss: 0.0454
|
||||
Thu, 15 Sep 2022 10:43:34: Epoch [5/10], Step [4400/12534], Loss: 0.0403
|
||||
Thu, 15 Sep 2022 10:43:44: Epoch [5/10], Step [4600/12534], Loss: 0.0452
|
||||
Thu, 15 Sep 2022 10:43:54: Epoch [5/10], Step [4800/12534], Loss: 0.0423
|
||||
Thu, 15 Sep 2022 10:44:04: Epoch [5/10], Step [5000/12534], Loss: 0.0086
|
||||
Thu, 15 Sep 2022 10:44:14: Epoch [5/10], Step [5200/12534], Loss: 0.0036
|
||||
Thu, 15 Sep 2022 10:44:24: Epoch [5/10], Step [5400/12534], Loss: 0.0541
|
||||
Thu, 15 Sep 2022 10:44:34: Epoch [5/10], Step [5600/12534], Loss: 0.0424
|
||||
Thu, 15 Sep 2022 10:44:44: Epoch [5/10], Step [5800/12534], Loss: 0.0604
|
||||
Thu, 15 Sep 2022 10:44:54: Epoch [5/10], Step [6000/12534], Loss: 0.0339
|
||||
Thu, 15 Sep 2022 10:45:05: Epoch [5/10], Step [6200/12534], Loss: 0.1396
|
||||
Thu, 15 Sep 2022 10:45:15: Epoch [5/10], Step [6400/12534], Loss: 0.0225
|
||||
Thu, 15 Sep 2022 10:45:25: Epoch [5/10], Step [6600/12534], Loss: 0.0210
|
||||
Thu, 15 Sep 2022 10:45:36: Epoch [5/10], Step [6800/12534], Loss: 0.0479
|
||||
Thu, 15 Sep 2022 10:45:45: Epoch [5/10], Step [7000/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 10:45:55: Epoch [5/10], Step [7200/12534], Loss: 0.0209
|
||||
Thu, 15 Sep 2022 10:46:05: Epoch [5/10], Step [7400/12534], Loss: 0.1018
|
||||
Thu, 15 Sep 2022 10:46:16: Epoch [5/10], Step [7600/12534], Loss: 0.2930
|
||||
Thu, 15 Sep 2022 10:46:26: Epoch [5/10], Step [7800/12534], Loss: 0.0833
|
||||
Thu, 15 Sep 2022 10:46:36: Epoch [5/10], Step [8000/12534], Loss: 0.0321
|
||||
Thu, 15 Sep 2022 10:46:46: Epoch [5/10], Step [8200/12534], Loss: 0.4353
|
||||
Thu, 15 Sep 2022 10:46:57: Epoch [5/10], Step [8400/12534], Loss: 0.1781
|
||||
Thu, 15 Sep 2022 10:47:07: Epoch [5/10], Step [8600/12534], Loss: 0.1777
|
||||
Thu, 15 Sep 2022 10:47:17: Epoch [5/10], Step [8800/12534], Loss: 0.0549
|
||||
Thu, 15 Sep 2022 10:47:27: Epoch [5/10], Step [9000/12534], Loss: 0.1662
|
||||
Thu, 15 Sep 2022 10:47:37: Epoch [5/10], Step [9200/12534], Loss: 0.1734
|
||||
Thu, 15 Sep 2022 10:47:47: Epoch [5/10], Step [9400/12534], Loss: 0.0573
|
||||
Thu, 15 Sep 2022 10:47:57: Epoch [5/10], Step [9600/12534], Loss: 0.0150
|
||||
Thu, 15 Sep 2022 10:48:07: Epoch [5/10], Step [9800/12534], Loss: 0.0152
|
||||
Thu, 15 Sep 2022 10:48:16: Epoch [5/10], Step [10000/12534], Loss: 0.0162
|
||||
Thu, 15 Sep 2022 10:48:26: Epoch [5/10], Step [10200/12534], Loss: 0.0167
|
||||
Thu, 15 Sep 2022 10:48:36: Epoch [5/10], Step [10400/12534], Loss: 0.0437
|
||||
Thu, 15 Sep 2022 10:48:46: Epoch [5/10], Step [10600/12534], Loss: 0.0068
|
||||
Thu, 15 Sep 2022 10:48:56: Epoch [5/10], Step [10800/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 10:49:06: Epoch [5/10], Step [11000/12534], Loss: 0.0459
|
||||
Thu, 15 Sep 2022 10:49:16: Epoch [5/10], Step [11200/12534], Loss: 0.1042
|
||||
Thu, 15 Sep 2022 10:49:26: Epoch [5/10], Step [11400/12534], Loss: 0.0047
|
||||
Thu, 15 Sep 2022 10:49:36: Epoch [5/10], Step [11600/12534], Loss: 0.0097
|
||||
Thu, 15 Sep 2022 10:49:46: Epoch [5/10], Step [11800/12534], Loss: 0.0385
|
||||
Thu, 15 Sep 2022 10:49:56: Epoch [5/10], Step [12000/12534], Loss: 0.3163
|
||||
Thu, 15 Sep 2022 10:50:06: Epoch [5/10], Step [12200/12534], Loss: 0.1108
|
||||
Thu, 15 Sep 2022 10:50:16: Epoch [5/10], Step [12400/12534], Loss: 0.0161
|
||||
Thu, 15 Sep 2022 10:50:33: Epoch [6/10], Step [200/12534], Loss: 0.0272
|
||||
Thu, 15 Sep 2022 10:50:43: Epoch [6/10], Step [400/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 10:50:53: Epoch [6/10], Step [600/12534], Loss: 0.0051
|
||||
Thu, 15 Sep 2022 10:51:03: Epoch [6/10], Step [800/12534], Loss: 0.0549
|
||||
Thu, 15 Sep 2022 10:51:12: Epoch [6/10], Step [1000/12534], Loss: 0.0744
|
||||
Thu, 15 Sep 2022 10:51:23: Epoch [6/10], Step [1200/12534], Loss: 0.0259
|
||||
Thu, 15 Sep 2022 10:51:33: Epoch [6/10], Step [1400/12534], Loss: 0.0508
|
||||
Thu, 15 Sep 2022 10:51:43: Epoch [6/10], Step [1600/12534], Loss: 0.0154
|
||||
Thu, 15 Sep 2022 10:51:53: Epoch [6/10], Step [1800/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 10:52:03: Epoch [6/10], Step [2000/12534], Loss: 0.0119
|
||||
Thu, 15 Sep 2022 10:52:12: Epoch [6/10], Step [2200/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 10:52:22: Epoch [6/10], Step [2400/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 10:52:32: Epoch [6/10], Step [2600/12534], Loss: 0.0742
|
||||
Thu, 15 Sep 2022 10:52:42: Epoch [6/10], Step [2800/12534], Loss: 0.0409
|
||||
Thu, 15 Sep 2022 10:52:52: Epoch [6/10], Step [3000/12534], Loss: 0.0058
|
||||
Thu, 15 Sep 2022 10:53:02: Epoch [6/10], Step [3200/12534], Loss: 0.0911
|
||||
Thu, 15 Sep 2022 10:53:11: Epoch [6/10], Step [3400/12534], Loss: 0.0825
|
||||
Thu, 15 Sep 2022 10:53:21: Epoch [6/10], Step [3600/12534], Loss: 0.0464
|
||||
Thu, 15 Sep 2022 10:53:31: Epoch [6/10], Step [3800/12534], Loss: 0.1664
|
||||
Thu, 15 Sep 2022 10:53:41: Epoch [6/10], Step [4000/12534], Loss: 0.1150
|
||||
Thu, 15 Sep 2022 10:53:51: Epoch [6/10], Step [4200/12534], Loss: 0.0636
|
||||
Thu, 15 Sep 2022 10:54:01: Epoch [6/10], Step [4400/12534], Loss: 0.0255
|
||||
Thu, 15 Sep 2022 10:54:11: Epoch [6/10], Step [4600/12534], Loss: 0.0128
|
||||
Thu, 15 Sep 2022 10:54:21: Epoch [6/10], Step [4800/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 10:54:31: Epoch [6/10], Step [5000/12534], Loss: 0.0629
|
||||
Thu, 15 Sep 2022 10:54:41: Epoch [6/10], Step [5200/12534], Loss: 0.0290
|
||||
Thu, 15 Sep 2022 10:54:51: Epoch [6/10], Step [5400/12534], Loss: 0.0061
|
||||
Thu, 15 Sep 2022 10:55:01: Epoch [6/10], Step [5600/12534], Loss: 0.0202
|
||||
Thu, 15 Sep 2022 10:55:10: Epoch [6/10], Step [5800/12534], Loss: 0.0050
|
||||
Thu, 15 Sep 2022 10:55:21: Epoch [6/10], Step [6000/12534], Loss: 0.1025
|
||||
Thu, 15 Sep 2022 10:55:31: Epoch [6/10], Step [6200/12534], Loss: 0.0888
|
||||
Thu, 15 Sep 2022 10:55:41: Epoch [6/10], Step [6400/12534], Loss: 0.0565
|
||||
Thu, 15 Sep 2022 10:55:52: Epoch [6/10], Step [6600/12534], Loss: 0.0077
|
||||
Thu, 15 Sep 2022 10:56:02: Epoch [6/10], Step [6800/12534], Loss: 0.0791
|
||||
Thu, 15 Sep 2022 10:56:12: Epoch [6/10], Step [7000/12534], Loss: 0.0932
|
||||
Thu, 15 Sep 2022 10:56:22: Epoch [6/10], Step [7200/12534], Loss: 0.0062
|
||||
Thu, 15 Sep 2022 10:56:32: Epoch [6/10], Step [7400/12534], Loss: 0.0423
|
||||
Thu, 15 Sep 2022 10:56:42: Epoch [6/10], Step [7600/12534], Loss: 0.0142
|
||||
Thu, 15 Sep 2022 10:56:52: Epoch [6/10], Step [7800/12534], Loss: 0.1356
|
||||
Thu, 15 Sep 2022 10:57:02: Epoch [6/10], Step [8000/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 10:57:12: Epoch [6/10], Step [8200/12534], Loss: 0.0155
|
||||
Thu, 15 Sep 2022 10:57:21: Epoch [6/10], Step [8400/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 10:57:31: Epoch [6/10], Step [8600/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 10:57:41: Epoch [6/10], Step [8800/12534], Loss: 0.0599
|
||||
Thu, 15 Sep 2022 10:57:51: Epoch [6/10], Step [9000/12534], Loss: 0.0061
|
||||
Thu, 15 Sep 2022 10:58:01: Epoch [6/10], Step [9200/12534], Loss: 0.0380
|
||||
Thu, 15 Sep 2022 10:58:10: Epoch [6/10], Step [9400/12534], Loss: 0.0368
|
||||
Thu, 15 Sep 2022 10:58:20: Epoch [6/10], Step [9600/12534], Loss: 0.0752
|
||||
Thu, 15 Sep 2022 10:58:30: Epoch [6/10], Step [9800/12534], Loss: 0.0127
|
||||
Thu, 15 Sep 2022 10:58:40: Epoch [6/10], Step [10000/12534], Loss: 0.0428
|
||||
Thu, 15 Sep 2022 10:58:50: Epoch [6/10], Step [10200/12534], Loss: 0.0092
|
||||
Thu, 15 Sep 2022 10:59:00: Epoch [6/10], Step [10400/12534], Loss: 0.1103
|
||||
Thu, 15 Sep 2022 10:59:09: Epoch [6/10], Step [10600/12534], Loss: 0.0653
|
||||
Thu, 15 Sep 2022 10:59:19: Epoch [6/10], Step [10800/12534], Loss: 0.0776
|
||||
Thu, 15 Sep 2022 10:59:29: Epoch [6/10], Step [11000/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 10:59:39: Epoch [6/10], Step [11200/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 10:59:49: Epoch [6/10], Step [11400/12534], Loss: 0.0288
|
||||
Thu, 15 Sep 2022 10:59:59: Epoch [6/10], Step [11600/12534], Loss: 0.0120
|
||||
Thu, 15 Sep 2022 11:00:09: Epoch [6/10], Step [11800/12534], Loss: 0.0892
|
||||
Thu, 15 Sep 2022 11:00:19: Epoch [6/10], Step [12000/12534], Loss: 0.1272
|
||||
Thu, 15 Sep 2022 11:00:29: Epoch [6/10], Step [12200/12534], Loss: 0.0656
|
||||
Thu, 15 Sep 2022 11:00:39: Epoch [6/10], Step [12400/12534], Loss: 0.0370
|
||||
Thu, 15 Sep 2022 11:00:55: Epoch [7/10], Step [200/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 11:01:05: Epoch [7/10], Step [400/12534], Loss: 0.1496
|
||||
Thu, 15 Sep 2022 11:01:15: Epoch [7/10], Step [600/12534], Loss: 0.0282
|
||||
Thu, 15 Sep 2022 11:01:25: Epoch [7/10], Step [800/12534], Loss: 0.0583
|
||||
Thu, 15 Sep 2022 11:01:35: Epoch [7/10], Step [1000/12534], Loss: 0.0398
|
||||
Thu, 15 Sep 2022 11:01:45: Epoch [7/10], Step [1200/12534], Loss: 0.0567
|
||||
Thu, 15 Sep 2022 11:01:55: Epoch [7/10], Step [1400/12534], Loss: 0.0564
|
||||
Thu, 15 Sep 2022 11:02:05: Epoch [7/10], Step [1600/12534], Loss: 0.0051
|
||||
Thu, 15 Sep 2022 11:02:14: Epoch [7/10], Step [1800/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 11:02:24: Epoch [7/10], Step [2000/12534], Loss: 0.0058
|
||||
Thu, 15 Sep 2022 11:02:35: Epoch [7/10], Step [2200/12534], Loss: 0.0958
|
||||
Thu, 15 Sep 2022 11:02:45: Epoch [7/10], Step [2400/12534], Loss: 0.1105
|
||||
Thu, 15 Sep 2022 11:02:55: Epoch [7/10], Step [2600/12534], Loss: 0.0088
|
||||
Thu, 15 Sep 2022 11:03:04: Epoch [7/10], Step [2800/12534], Loss: 0.0213
|
||||
Thu, 15 Sep 2022 11:03:14: Epoch [7/10], Step [3000/12534], Loss: 0.0104
|
||||
Thu, 15 Sep 2022 11:03:25: Epoch [7/10], Step [3200/12534], Loss: 0.0569
|
||||
Thu, 15 Sep 2022 11:03:35: Epoch [7/10], Step [3400/12534], Loss: 0.0108
|
||||
Thu, 15 Sep 2022 11:03:45: Epoch [7/10], Step [3600/12534], Loss: 0.0100
|
||||
Thu, 15 Sep 2022 11:03:55: Epoch [7/10], Step [3800/12534], Loss: 0.0062
|
||||
Thu, 15 Sep 2022 11:04:05: Epoch [7/10], Step [4000/12534], Loss: 0.0096
|
||||
Thu, 15 Sep 2022 11:04:15: Epoch [7/10], Step [4200/12534], Loss: 0.0183
|
||||
Thu, 15 Sep 2022 11:04:25: Epoch [7/10], Step [4400/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 11:04:35: Epoch [7/10], Step [4600/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 11:04:44: Epoch [7/10], Step [4800/12534], Loss: 0.0097
|
||||
Thu, 15 Sep 2022 11:04:55: Epoch [7/10], Step [5000/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 11:05:05: Epoch [7/10], Step [5200/12534], Loss: 0.0549
|
||||
Thu, 15 Sep 2022 11:05:15: Epoch [7/10], Step [5400/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 11:05:25: Epoch [7/10], Step [5600/12534], Loss: 0.1021
|
||||
Thu, 15 Sep 2022 11:05:35: Epoch [7/10], Step [5800/12534], Loss: 0.0520
|
||||
Thu, 15 Sep 2022 11:05:45: Epoch [7/10], Step [6000/12534], Loss: 0.0073
|
||||
Thu, 15 Sep 2022 11:05:55: Epoch [7/10], Step [6200/12534], Loss: 0.0045
|
||||
Thu, 15 Sep 2022 11:06:05: Epoch [7/10], Step [6400/12534], Loss: 0.0505
|
||||
Thu, 15 Sep 2022 11:06:15: Epoch [7/10], Step [6600/12534], Loss: 0.0340
|
||||
Thu, 15 Sep 2022 11:06:24: Epoch [7/10], Step [6800/12534], Loss: 0.0662
|
||||
Thu, 15 Sep 2022 11:06:34: Epoch [7/10], Step [7000/12534], Loss: 0.0071
|
||||
Thu, 15 Sep 2022 11:06:44: Epoch [7/10], Step [7200/12534], Loss: 0.0143
|
||||
Thu, 15 Sep 2022 11:06:53: Epoch [7/10], Step [7400/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 11:07:03: Epoch [7/10], Step [7600/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 11:07:13: Epoch [7/10], Step [7800/12534], Loss: 0.0156
|
||||
Thu, 15 Sep 2022 11:07:22: Epoch [7/10], Step [8000/12534], Loss: 0.3126
|
||||
Thu, 15 Sep 2022 11:07:32: Epoch [7/10], Step [8200/12534], Loss: 0.0333
|
||||
Thu, 15 Sep 2022 11:07:42: Epoch [7/10], Step [8400/12534], Loss: 0.0409
|
||||
Thu, 15 Sep 2022 11:07:51: Epoch [7/10], Step [8600/12534], Loss: 0.0062
|
||||
Thu, 15 Sep 2022 11:08:01: Epoch [7/10], Step [8800/12534], Loss: 0.0070
|
||||
Thu, 15 Sep 2022 11:08:11: Epoch [7/10], Step [9000/12534], Loss: 0.0211
|
||||
Thu, 15 Sep 2022 11:08:21: Epoch [7/10], Step [9200/12534], Loss: 0.0391
|
||||
Thu, 15 Sep 2022 11:08:30: Epoch [7/10], Step [9400/12534], Loss: 0.0870
|
||||
Thu, 15 Sep 2022 11:08:40: Epoch [7/10], Step [9600/12534], Loss: 0.3660
|
||||
Thu, 15 Sep 2022 11:08:50: Epoch [7/10], Step [9800/12534], Loss: 0.1993
|
||||
Thu, 15 Sep 2022 11:09:01: Epoch [7/10], Step [10000/12534], Loss: 0.0598
|
||||
Thu, 15 Sep 2022 11:09:11: Epoch [7/10], Step [10200/12534], Loss: 0.0835
|
||||
Thu, 15 Sep 2022 11:09:20: Epoch [7/10], Step [10400/12534], Loss: 0.0731
|
||||
Thu, 15 Sep 2022 11:09:30: Epoch [7/10], Step [10600/12534], Loss: 0.0065
|
||||
Thu, 15 Sep 2022 11:09:39: Epoch [7/10], Step [10800/12534], Loss: 0.0931
|
||||
Thu, 15 Sep 2022 11:09:49: Epoch [7/10], Step [11000/12534], Loss: 0.0252
|
||||
Thu, 15 Sep 2022 11:09:59: Epoch [7/10], Step [11200/12534], Loss: 0.0268
|
||||
Thu, 15 Sep 2022 11:10:09: Epoch [7/10], Step [11400/12534], Loss: 0.1435
|
||||
Thu, 15 Sep 2022 11:10:19: Epoch [7/10], Step [11600/12534], Loss: 0.0088
|
||||
Thu, 15 Sep 2022 11:10:29: Epoch [7/10], Step [11800/12534], Loss: 0.0185
|
||||
Thu, 15 Sep 2022 11:10:39: Epoch [7/10], Step [12000/12534], Loss: 0.0556
|
||||
Thu, 15 Sep 2022 11:10:48: Epoch [7/10], Step [12200/12534], Loss: 0.0428
|
||||
Thu, 15 Sep 2022 11:10:58: Epoch [7/10], Step [12400/12534], Loss: 0.0164
|
||||
Thu, 15 Sep 2022 11:11:14: Epoch [8/10], Step [200/12534], Loss: 0.1468
|
||||
Thu, 15 Sep 2022 11:11:24: Epoch [8/10], Step [400/12534], Loss: 0.0888
|
||||
Thu, 15 Sep 2022 11:11:34: Epoch [8/10], Step [600/12534], Loss: 0.0622
|
||||
Thu, 15 Sep 2022 11:11:43: Epoch [8/10], Step [800/12534], Loss: 0.0222
|
||||
Thu, 15 Sep 2022 11:11:52: Epoch [8/10], Step [1000/12534], Loss: 0.1521
|
||||
Thu, 15 Sep 2022 11:12:02: Epoch [8/10], Step [1200/12534], Loss: 0.0448
|
||||
Thu, 15 Sep 2022 11:12:11: Epoch [8/10], Step [1400/12534], Loss: 0.0078
|
||||
Thu, 15 Sep 2022 11:12:21: Epoch [8/10], Step [1600/12534], Loss: 0.0045
|
||||
Thu, 15 Sep 2022 11:12:31: Epoch [8/10], Step [1800/12534], Loss: 0.2617
|
||||
Thu, 15 Sep 2022 11:12:41: Epoch [8/10], Step [2000/12534], Loss: 0.0610
|
||||
Thu, 15 Sep 2022 11:12:51: Epoch [8/10], Step [2200/12534], Loss: 0.0321
|
||||
Thu, 15 Sep 2022 11:13:01: Epoch [8/10], Step [2400/12534], Loss: 0.0529
|
||||
Thu, 15 Sep 2022 11:13:11: Epoch [8/10], Step [2600/12534], Loss: 0.0256
|
||||
Thu, 15 Sep 2022 11:13:21: Epoch [8/10], Step [2800/12534], Loss: 0.0248
|
||||
Thu, 15 Sep 2022 11:13:31: Epoch [8/10], Step [3000/12534], Loss: 0.0113
|
||||
Thu, 15 Sep 2022 11:13:41: Epoch [8/10], Step [3200/12534], Loss: 0.0895
|
||||
Thu, 15 Sep 2022 11:13:51: Epoch [8/10], Step [3400/12534], Loss: 0.0132
|
||||
Thu, 15 Sep 2022 11:14:01: Epoch [8/10], Step [3600/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 11:14:11: Epoch [8/10], Step [3800/12534], Loss: 0.0535
|
||||
Thu, 15 Sep 2022 11:14:20: Epoch [8/10], Step [4000/12534], Loss: 0.0058
|
||||
Thu, 15 Sep 2022 11:14:30: Epoch [8/10], Step [4200/12534], Loss: 0.0831
|
||||
Thu, 15 Sep 2022 11:14:40: Epoch [8/10], Step [4400/12534], Loss: 0.0098
|
||||
Thu, 15 Sep 2022 11:14:50: Epoch [8/10], Step [4600/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 11:14:59: Epoch [8/10], Step [4800/12534], Loss: 0.0296
|
||||
Thu, 15 Sep 2022 11:15:09: Epoch [8/10], Step [5000/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 11:15:19: Epoch [8/10], Step [5200/12534], Loss: 0.0065
|
||||
Thu, 15 Sep 2022 11:15:29: Epoch [8/10], Step [5400/12534], Loss: 0.0107
|
||||
Thu, 15 Sep 2022 11:15:38: Epoch [8/10], Step [5600/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 11:15:48: Epoch [8/10], Step [5800/12534], Loss: 0.0201
|
||||
Thu, 15 Sep 2022 11:15:58: Epoch [8/10], Step [6000/12534], Loss: 0.0552
|
||||
Thu, 15 Sep 2022 11:16:08: Epoch [8/10], Step [6200/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 11:16:17: Epoch [8/10], Step [6400/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 11:16:27: Epoch [8/10], Step [6600/12534], Loss: 0.0469
|
||||
Thu, 15 Sep 2022 11:16:37: Epoch [8/10], Step [6800/12534], Loss: 0.0061
|
||||
Thu, 15 Sep 2022 11:16:48: Epoch [8/10], Step [7000/12534], Loss: 0.0258
|
||||
Thu, 15 Sep 2022 11:16:58: Epoch [8/10], Step [7200/12534], Loss: 0.0984
|
||||
Thu, 15 Sep 2022 11:17:09: Epoch [8/10], Step [7400/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 11:17:19: Epoch [8/10], Step [7600/12534], Loss: 0.0101
|
||||
Thu, 15 Sep 2022 11:17:29: Epoch [8/10], Step [7800/12534], Loss: 0.0146
|
||||
Thu, 15 Sep 2022 11:17:38: Epoch [8/10], Step [8000/12534], Loss: 0.0197
|
||||
Thu, 15 Sep 2022 11:17:48: Epoch [8/10], Step [8200/12534], Loss: 0.0619
|
||||
Thu, 15 Sep 2022 11:17:58: Epoch [8/10], Step [8400/12534], Loss: 0.0230
|
||||
Thu, 15 Sep 2022 11:18:08: Epoch [8/10], Step [8600/12534], Loss: 0.0532
|
||||
Thu, 15 Sep 2022 11:18:17: Epoch [8/10], Step [8800/12534], Loss: 0.0599
|
||||
Thu, 15 Sep 2022 11:18:27: Epoch [8/10], Step [9000/12534], Loss: 0.0956
|
||||
Thu, 15 Sep 2022 11:18:37: Epoch [8/10], Step [9200/12534], Loss: 0.0215
|
||||
Thu, 15 Sep 2022 11:18:46: Epoch [8/10], Step [9400/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 11:18:56: Epoch [8/10], Step [9600/12534], Loss: 0.0407
|
||||
Thu, 15 Sep 2022 11:19:06: Epoch [8/10], Step [9800/12534], Loss: 0.0036
|
||||
Thu, 15 Sep 2022 11:19:16: Epoch [8/10], Step [10000/12534], Loss: 0.0033
|
||||
Thu, 15 Sep 2022 11:19:26: Epoch [8/10], Step [10200/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 11:19:36: Epoch [8/10], Step [10400/12534], Loss: 0.0487
|
||||
Thu, 15 Sep 2022 11:19:46: Epoch [8/10], Step [10600/12534], Loss: 0.0824
|
||||
Thu, 15 Sep 2022 11:19:57: Epoch [8/10], Step [10800/12534], Loss: 0.0316
|
||||
Thu, 15 Sep 2022 11:20:07: Epoch [8/10], Step [11000/12534], Loss: 0.0410
|
||||
Thu, 15 Sep 2022 11:20:17: Epoch [8/10], Step [11200/12534], Loss: 0.1013
|
||||
Thu, 15 Sep 2022 11:20:27: Epoch [8/10], Step [11400/12534], Loss: 0.0299
|
||||
Thu, 15 Sep 2022 11:20:37: Epoch [8/10], Step [11600/12534], Loss: 0.0168
|
||||
Thu, 15 Sep 2022 11:20:47: Epoch [8/10], Step [11800/12534], Loss: 0.0693
|
||||
Thu, 15 Sep 2022 11:20:57: Epoch [8/10], Step [12000/12534], Loss: 0.0034
|
||||
Thu, 15 Sep 2022 11:21:07: Epoch [8/10], Step [12200/12534], Loss: 0.1427
|
||||
Thu, 15 Sep 2022 11:21:16: Epoch [8/10], Step [12400/12534], Loss: 0.0103
|
||||
Thu, 15 Sep 2022 11:21:33: Epoch [9/10], Step [200/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 11:21:43: Epoch [9/10], Step [400/12534], Loss: 0.0617
|
||||
Thu, 15 Sep 2022 11:21:53: Epoch [9/10], Step [600/12534], Loss: 0.0075
|
||||
Thu, 15 Sep 2022 11:22:03: Epoch [9/10], Step [800/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 11:22:12: Epoch [9/10], Step [1000/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 11:22:22: Epoch [9/10], Step [1200/12534], Loss: 0.0102
|
||||
Thu, 15 Sep 2022 11:22:31: Epoch [9/10], Step [1400/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 11:22:41: Epoch [9/10], Step [1600/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 11:22:50: Epoch [9/10], Step [1800/12534], Loss: 0.0592
|
||||
Thu, 15 Sep 2022 11:23:00: Epoch [9/10], Step [2000/12534], Loss: 0.0358
|
||||
Thu, 15 Sep 2022 11:23:10: Epoch [9/10], Step [2200/12534], Loss: 0.0224
|
||||
Thu, 15 Sep 2022 11:23:19: Epoch [9/10], Step [2400/12534], Loss: 0.0395
|
||||
Thu, 15 Sep 2022 11:23:29: Epoch [9/10], Step [2600/12534], Loss: 0.0575
|
||||
Thu, 15 Sep 2022 11:23:39: Epoch [9/10], Step [2800/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 11:23:49: Epoch [9/10], Step [3000/12534], Loss: 0.0078
|
||||
Thu, 15 Sep 2022 11:23:59: Epoch [9/10], Step [3200/12534], Loss: 0.0853
|
||||
Thu, 15 Sep 2022 11:24:08: Epoch [9/10], Step [3400/12534], Loss: 0.0983
|
||||
Thu, 15 Sep 2022 11:24:18: Epoch [9/10], Step [3600/12534], Loss: 0.0913
|
||||
Thu, 15 Sep 2022 11:24:27: Epoch [9/10], Step [3800/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 11:24:37: Epoch [9/10], Step [4000/12534], Loss: 0.0579
|
||||
Thu, 15 Sep 2022 11:24:48: Epoch [9/10], Step [4200/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 11:24:57: Epoch [9/10], Step [4400/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 11:25:07: Epoch [9/10], Step [4600/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 11:25:17: Epoch [9/10], Step [4800/12534], Loss: 0.0231
|
||||
Thu, 15 Sep 2022 11:25:27: Epoch [9/10], Step [5000/12534], Loss: 0.1940
|
||||
Thu, 15 Sep 2022 11:25:36: Epoch [9/10], Step [5200/12534], Loss: 0.0749
|
||||
Thu, 15 Sep 2022 11:25:46: Epoch [9/10], Step [5400/12534], Loss: 0.0764
|
||||
Thu, 15 Sep 2022 11:25:55: Epoch [9/10], Step [5600/12534], Loss: 0.0494
|
||||
Thu, 15 Sep 2022 11:26:05: Epoch [9/10], Step [5800/12534], Loss: 0.1118
|
||||
Thu, 15 Sep 2022 11:26:15: Epoch [9/10], Step [6000/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 11:26:25: Epoch [9/10], Step [6200/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 11:26:35: Epoch [9/10], Step [6400/12534], Loss: 0.0412
|
||||
Thu, 15 Sep 2022 11:26:45: Epoch [9/10], Step [6600/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 11:26:55: Epoch [9/10], Step [6800/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 11:27:04: Epoch [9/10], Step [7000/12534], Loss: 0.0051
|
||||
Thu, 15 Sep 2022 11:27:14: Epoch [9/10], Step [7200/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 11:27:24: Epoch [9/10], Step [7400/12534], Loss: 0.0524
|
||||
Thu, 15 Sep 2022 11:27:34: Epoch [9/10], Step [7600/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 11:27:44: Epoch [9/10], Step [7800/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 11:27:54: Epoch [9/10], Step [8000/12534], Loss: 0.0067
|
||||
Thu, 15 Sep 2022 11:28:04: Epoch [9/10], Step [8200/12534], Loss: 0.1043
|
||||
Thu, 15 Sep 2022 11:28:13: Epoch [9/10], Step [8400/12534], Loss: 0.0117
|
||||
Thu, 15 Sep 2022 11:28:23: Epoch [9/10], Step [8600/12534], Loss: 0.0390
|
||||
Thu, 15 Sep 2022 11:28:33: Epoch [9/10], Step [8800/12534], Loss: 0.0599
|
||||
Thu, 15 Sep 2022 11:28:43: Epoch [9/10], Step [9000/12534], Loss: 0.0052
|
||||
Thu, 15 Sep 2022 11:28:52: Epoch [9/10], Step [9200/12534], Loss: 0.0060
|
||||
Thu, 15 Sep 2022 11:29:02: Epoch [9/10], Step [9400/12534], Loss: 0.0574
|
||||
Thu, 15 Sep 2022 11:29:12: Epoch [9/10], Step [9600/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 11:29:22: Epoch [9/10], Step [9800/12534], Loss: 0.1083
|
||||
Thu, 15 Sep 2022 11:29:32: Epoch [9/10], Step [10000/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 11:29:42: Epoch [9/10], Step [10200/12534], Loss: 0.0386
|
||||
Thu, 15 Sep 2022 11:29:51: Epoch [9/10], Step [10400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 11:30:01: Epoch [9/10], Step [10600/12534], Loss: 0.0518
|
||||
Thu, 15 Sep 2022 11:30:11: Epoch [9/10], Step [10800/12534], Loss: 0.1059
|
||||
Thu, 15 Sep 2022 11:30:20: Epoch [9/10], Step [11000/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 11:30:30: Epoch [9/10], Step [11200/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 11:30:40: Epoch [9/10], Step [11400/12534], Loss: 0.0065
|
||||
Thu, 15 Sep 2022 11:30:49: Epoch [9/10], Step [11600/12534], Loss: 0.1719
|
||||
Thu, 15 Sep 2022 11:31:00: Epoch [9/10], Step [11800/12534], Loss: 0.1312
|
||||
Thu, 15 Sep 2022 11:31:09: Epoch [9/10], Step [12000/12534], Loss: 0.2129
|
||||
Thu, 15 Sep 2022 11:31:19: Epoch [9/10], Step [12200/12534], Loss: 0.1835
|
||||
Thu, 15 Sep 2022 11:31:29: Epoch [9/10], Step [12400/12534], Loss: 0.0691
|
||||
Thu, 15 Sep 2022 11:31:46: Epoch [10/10], Step [200/12534], Loss: 0.0418
|
||||
Thu, 15 Sep 2022 11:31:56: Epoch [10/10], Step [400/12534], Loss: 0.0682
|
||||
Thu, 15 Sep 2022 11:32:06: Epoch [10/10], Step [600/12534], Loss: 0.0758
|
||||
Thu, 15 Sep 2022 11:32:16: Epoch [10/10], Step [800/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 11:32:26: Epoch [10/10], Step [1000/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 11:32:36: Epoch [10/10], Step [1200/12534], Loss: 0.0048
|
||||
Thu, 15 Sep 2022 11:32:45: Epoch [10/10], Step [1400/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 11:32:55: Epoch [10/10], Step [1600/12534], Loss: 0.0304
|
||||
Thu, 15 Sep 2022 11:33:05: Epoch [10/10], Step [1800/12534], Loss: 0.0609
|
||||
Thu, 15 Sep 2022 11:33:15: Epoch [10/10], Step [2000/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 11:33:25: Epoch [10/10], Step [2200/12534], Loss: 0.0206
|
||||
Thu, 15 Sep 2022 11:33:35: Epoch [10/10], Step [2400/12534], Loss: 0.0539
|
||||
Thu, 15 Sep 2022 11:33:45: Epoch [10/10], Step [2600/12534], Loss: 0.0033
|
||||
Thu, 15 Sep 2022 11:33:54: Epoch [10/10], Step [2800/12534], Loss: 0.0704
|
||||
Thu, 15 Sep 2022 11:34:04: Epoch [10/10], Step [3000/12534], Loss: 0.1016
|
||||
Thu, 15 Sep 2022 11:34:14: Epoch [10/10], Step [3200/12534], Loss: 0.0442
|
||||
Thu, 15 Sep 2022 11:34:24: Epoch [10/10], Step [3400/12534], Loss: 0.1265
|
||||
Thu, 15 Sep 2022 11:34:34: Epoch [10/10], Step [3600/12534], Loss: 0.0915
|
||||
Thu, 15 Sep 2022 11:34:44: Epoch [10/10], Step [3800/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 11:34:53: Epoch [10/10], Step [4000/12534], Loss: 0.0182
|
||||
Thu, 15 Sep 2022 11:35:03: Epoch [10/10], Step [4200/12534], Loss: 0.0635
|
||||
Thu, 15 Sep 2022 11:35:13: Epoch [10/10], Step [4400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 11:35:23: Epoch [10/10], Step [4600/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 11:35:33: Epoch [10/10], Step [4800/12534], Loss: 0.0430
|
||||
Thu, 15 Sep 2022 11:35:43: Epoch [10/10], Step [5000/12534], Loss: 0.0503
|
||||
Thu, 15 Sep 2022 11:35:53: Epoch [10/10], Step [5200/12534], Loss: 0.0228
|
||||
Thu, 15 Sep 2022 11:36:03: Epoch [10/10], Step [5400/12534], Loss: 0.1004
|
||||
Thu, 15 Sep 2022 11:36:14: Epoch [10/10], Step [5600/12534], Loss: 0.0238
|
||||
Thu, 15 Sep 2022 11:36:24: Epoch [10/10], Step [5800/12534], Loss: 0.0576
|
||||
Thu, 15 Sep 2022 11:36:34: Epoch [10/10], Step [6000/12534], Loss: 0.0090
|
||||
Thu, 15 Sep 2022 11:36:44: Epoch [10/10], Step [6200/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 11:36:55: Epoch [10/10], Step [6400/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 11:37:05: Epoch [10/10], Step [6600/12534], Loss: 0.0974
|
||||
Thu, 15 Sep 2022 11:37:15: Epoch [10/10], Step [6800/12534], Loss: 0.1631
|
||||
Thu, 15 Sep 2022 11:37:26: Epoch [10/10], Step [7000/12534], Loss: 0.2439
|
||||
Thu, 15 Sep 2022 11:37:36: Epoch [10/10], Step [7200/12534], Loss: 0.0624
|
||||
Thu, 15 Sep 2022 11:37:46: Epoch [10/10], Step [7400/12534], Loss: 0.0400
|
||||
Thu, 15 Sep 2022 11:37:56: Epoch [10/10], Step [7600/12534], Loss: 0.2631
|
||||
Thu, 15 Sep 2022 11:38:06: Epoch [10/10], Step [7800/12534], Loss: 0.1269
|
||||
Thu, 15 Sep 2022 11:38:16: Epoch [10/10], Step [8000/12534], Loss: 0.1711
|
||||
Thu, 15 Sep 2022 11:38:26: Epoch [10/10], Step [8200/12534], Loss: 0.1253
|
||||
Thu, 15 Sep 2022 11:38:36: Epoch [10/10], Step [8400/12534], Loss: 0.1272
|
||||
Thu, 15 Sep 2022 11:38:47: Epoch [10/10], Step [8600/12534], Loss: 0.2333
|
||||
Thu, 15 Sep 2022 11:38:57: Epoch [10/10], Step [8800/12534], Loss: 0.2781
|
||||
Thu, 15 Sep 2022 11:39:07: Epoch [10/10], Step [9000/12534], Loss: 0.0612
|
||||
Thu, 15 Sep 2022 11:39:17: Epoch [10/10], Step [9200/12534], Loss: 0.0992
|
||||
Thu, 15 Sep 2022 11:39:27: Epoch [10/10], Step [9400/12534], Loss: 0.0568
|
||||
Thu, 15 Sep 2022 11:39:38: Epoch [10/10], Step [9600/12534], Loss: 0.0983
|
||||
Thu, 15 Sep 2022 11:39:48: Epoch [10/10], Step [9800/12534], Loss: 0.0519
|
||||
Thu, 15 Sep 2022 11:39:58: Epoch [10/10], Step [10000/12534], Loss: 0.0965
|
||||
Thu, 15 Sep 2022 11:40:08: Epoch [10/10], Step [10200/12534], Loss: 0.0732
|
||||
Thu, 15 Sep 2022 11:40:18: Epoch [10/10], Step [10400/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 11:40:29: Epoch [10/10], Step [10600/12534], Loss: 0.0173
|
||||
Thu, 15 Sep 2022 11:40:39: Epoch [10/10], Step [10800/12534], Loss: 0.0583
|
||||
Thu, 15 Sep 2022 11:40:50: Epoch [10/10], Step [11000/12534], Loss: 0.0034
|
||||
Thu, 15 Sep 2022 11:41:00: Epoch [10/10], Step [11200/12534], Loss: 0.0146
|
||||
Thu, 15 Sep 2022 11:41:10: Epoch [10/10], Step [11400/12534], Loss: 0.2055
|
||||
Thu, 15 Sep 2022 11:41:21: Epoch [10/10], Step [11600/12534], Loss: 0.0079
|
||||
Thu, 15 Sep 2022 11:41:31: Epoch [10/10], Step [11800/12534], Loss: 0.0641
|
||||
Thu, 15 Sep 2022 11:41:41: Epoch [10/10], Step [12000/12534], Loss: 0.0280
|
||||
Thu, 15 Sep 2022 11:41:52: Epoch [10/10], Step [12200/12534], Loss: 0.0103
|
||||
Thu, 15 Sep 2022 11:42:02: Epoch [10/10], Step [12400/12534], Loss: 0.0247
|
||||
Thu, 15 Sep 2022 11:42:09: start testing on test dataset
|
||||
Thu, 15 Sep 2022 11:44:45:
|
||||
f1:0.9940846477676625
|
||||
Thu, 15 Sep 2022 11:44:45:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9950 0.9931 0.9940 156353
|
||||
1.0 0.9932 0.9950 0.9941 156986
|
||||
|
||||
accuracy 0.9941 313339
|
||||
macro avg 0.9941 0.9941 0.9941 313339
|
||||
weighted avg 0.9941 0.9941 0.9941 313339
|
||||
|
||||
Thu, 15 Sep 2022 11:44:46:
|
||||
[[155276 1077]
|
||||
[ 782 156204]]
|
||||
654
代码/sequenceShield/新小论文数据/ss-RNN-cicdos2017.log
Normal file
654
代码/sequenceShield/新小论文数据/ss-RNN-cicdos2017.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Thu, 15 Sep 2022 09:27:07: -------------
|
||||
Thu, 15 Sep 2022 09:27:07: cuda is_available:True
|
||||
Thu, 15 Sep 2022 09:27:07: model parameters - num_layers:1, sequence_len:40
|
||||
Thu, 15 Sep 2022 09:27:07: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Thu, 15 Sep 2022 09:27:07: reading csv file
|
||||
Thu, 15 Sep 2022 09:27:07: csv file alread loaded
|
||||
Thu, 15 Sep 2022 09:27:18: procols num: 31
|
||||
Thu, 15 Sep 2022 09:27:18: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Thu, 15 Sep 2022 09:28:36: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Thu, 15 Sep 2022 09:28:37: loader already prepared
|
||||
Thu, 15 Sep 2022 09:28:37: loader中(0:normal,1:high,2:low):Counter({0: 16151, 2: 10595, 1: 5473})
|
||||
Thu, 15 Sep 2022 09:28:39: start training
|
||||
Thu, 15 Sep 2022 09:28:39: Epoch [1/25], Step [50/1289], Loss: 0.5443
|
||||
Thu, 15 Sep 2022 09:28:39: Epoch [1/25], Step [100/1289], Loss: 0.4951
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [150/1289], Loss: 0.3108
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [200/1289], Loss: 0.3947
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [250/1289], Loss: 0.3169
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [300/1289], Loss: 0.4638
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [350/1289], Loss: 0.5269
|
||||
Thu, 15 Sep 2022 09:28:40: Epoch [1/25], Step [400/1289], Loss: 0.3680
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [450/1289], Loss: 0.3264
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [500/1289], Loss: 0.2998
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [550/1289], Loss: 0.4145
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [600/1289], Loss: 0.3118
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [650/1289], Loss: 0.3591
|
||||
Thu, 15 Sep 2022 09:28:41: Epoch [1/25], Step [700/1289], Loss: 0.3695
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [750/1289], Loss: 0.2734
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [800/1289], Loss: 0.4975
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [850/1289], Loss: 0.3381
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [900/1289], Loss: 0.3124
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [950/1289], Loss: 0.4123
|
||||
Thu, 15 Sep 2022 09:28:42: Epoch [1/25], Step [1000/1289], Loss: 0.1982
|
||||
Thu, 15 Sep 2022 09:28:43: Epoch [1/25], Step [1050/1289], Loss: 0.3072
|
||||
Thu, 15 Sep 2022 09:28:43: Epoch [1/25], Step [1100/1289], Loss: 0.2907
|
||||
Thu, 15 Sep 2022 09:28:43: Epoch [1/25], Step [1150/1289], Loss: 0.3631
|
||||
Thu, 15 Sep 2022 09:28:43: Epoch [1/25], Step [1200/1289], Loss: 0.1935
|
||||
Thu, 15 Sep 2022 09:28:43: Epoch [1/25], Step [1250/1289], Loss: 0.3289
|
||||
Thu, 15 Sep 2022 09:28:44: Epoch [2/25], Step [50/1289], Loss: 0.2975
|
||||
Thu, 15 Sep 2022 09:28:44: Epoch [2/25], Step [100/1289], Loss: 0.4601
|
||||
Thu, 15 Sep 2022 09:28:44: Epoch [2/25], Step [150/1289], Loss: 0.2545
|
||||
Thu, 15 Sep 2022 09:28:44: Epoch [2/25], Step [200/1289], Loss: 0.2422
|
||||
Thu, 15 Sep 2022 09:28:44: Epoch [2/25], Step [250/1289], Loss: 0.2827
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [300/1289], Loss: 0.3192
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [350/1289], Loss: 0.2241
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [400/1289], Loss: 0.2291
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [450/1289], Loss: 0.2278
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [500/1289], Loss: 0.3294
|
||||
Thu, 15 Sep 2022 09:28:45: Epoch [2/25], Step [550/1289], Loss: 0.2033
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [600/1289], Loss: 0.1654
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [650/1289], Loss: 0.2201
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [700/1289], Loss: 0.2915
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [750/1289], Loss: 0.2350
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [800/1289], Loss: 0.2193
|
||||
Thu, 15 Sep 2022 09:28:46: Epoch [2/25], Step [850/1289], Loss: 0.2015
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [900/1289], Loss: 0.2808
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [950/1289], Loss: 0.2176
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [1000/1289], Loss: 0.1062
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [1050/1289], Loss: 0.2950
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [1100/1289], Loss: 0.1581
|
||||
Thu, 15 Sep 2022 09:28:47: Epoch [2/25], Step [1150/1289], Loss: 0.1067
|
||||
Thu, 15 Sep 2022 09:28:48: Epoch [2/25], Step [1200/1289], Loss: 0.1631
|
||||
Thu, 15 Sep 2022 09:28:48: Epoch [2/25], Step [1250/1289], Loss: 0.2395
|
||||
Thu, 15 Sep 2022 09:28:48: Epoch [3/25], Step [50/1289], Loss: 0.2480
|
||||
Thu, 15 Sep 2022 09:28:48: Epoch [3/25], Step [100/1289], Loss: 0.2466
|
||||
Thu, 15 Sep 2022 09:28:48: Epoch [3/25], Step [150/1289], Loss: 0.1465
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [200/1289], Loss: 0.1570
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [250/1289], Loss: 0.1121
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [300/1289], Loss: 0.1865
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [350/1289], Loss: 0.2437
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [400/1289], Loss: 0.1186
|
||||
Thu, 15 Sep 2022 09:28:49: Epoch [3/25], Step [450/1289], Loss: 0.1476
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [500/1289], Loss: 0.2107
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [550/1289], Loss: 0.2924
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [600/1289], Loss: 0.1998
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [650/1289], Loss: 0.1686
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [700/1289], Loss: 0.1669
|
||||
Thu, 15 Sep 2022 09:28:50: Epoch [3/25], Step [750/1289], Loss: 0.3269
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [800/1289], Loss: 0.2263
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [850/1289], Loss: 0.3663
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [900/1289], Loss: 0.1932
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [950/1289], Loss: 0.1526
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [1000/1289], Loss: 0.1391
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [1050/1289], Loss: 0.2093
|
||||
Thu, 15 Sep 2022 09:28:51: Epoch [3/25], Step [1100/1289], Loss: 0.2004
|
||||
Thu, 15 Sep 2022 09:28:52: Epoch [3/25], Step [1150/1289], Loss: 0.2632
|
||||
Thu, 15 Sep 2022 09:28:52: Epoch [3/25], Step [1200/1289], Loss: 0.1679
|
||||
Thu, 15 Sep 2022 09:28:52: Epoch [3/25], Step [1250/1289], Loss: 0.0945
|
||||
Thu, 15 Sep 2022 09:28:52: Epoch [4/25], Step [50/1289], Loss: 0.1122
|
||||
Thu, 15 Sep 2022 09:28:52: Epoch [4/25], Step [100/1289], Loss: 0.1289
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [150/1289], Loss: 0.1784
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [200/1289], Loss: 0.1225
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [250/1289], Loss: 0.2041
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [300/1289], Loss: 0.1489
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [350/1289], Loss: 0.1041
|
||||
Thu, 15 Sep 2022 09:28:53: Epoch [4/25], Step [400/1289], Loss: 0.0496
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [450/1289], Loss: 0.1751
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [500/1289], Loss: 0.0928
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [550/1289], Loss: 0.1345
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [600/1289], Loss: 0.2100
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [650/1289], Loss: 0.1928
|
||||
Thu, 15 Sep 2022 09:28:54: Epoch [4/25], Step [700/1289], Loss: 0.0806
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [750/1289], Loss: 0.1400
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [800/1289], Loss: 0.1994
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [850/1289], Loss: 0.1880
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [900/1289], Loss: 0.1401
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [950/1289], Loss: 0.1755
|
||||
Thu, 15 Sep 2022 09:28:55: Epoch [4/25], Step [1000/1289], Loss: 0.0999
|
||||
Thu, 15 Sep 2022 09:28:56: Epoch [4/25], Step [1050/1289], Loss: 0.0944
|
||||
Thu, 15 Sep 2022 09:28:56: Epoch [4/25], Step [1100/1289], Loss: 0.0570
|
||||
Thu, 15 Sep 2022 09:28:56: Epoch [4/25], Step [1150/1289], Loss: 0.1749
|
||||
Thu, 15 Sep 2022 09:28:56: Epoch [4/25], Step [1200/1289], Loss: 0.2473
|
||||
Thu, 15 Sep 2022 09:28:56: Epoch [4/25], Step [1250/1289], Loss: 0.1204
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [50/1289], Loss: 0.1250
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [100/1289], Loss: 0.1721
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [150/1289], Loss: 0.1596
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [200/1289], Loss: 0.2230
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [250/1289], Loss: 0.1541
|
||||
Thu, 15 Sep 2022 09:28:57: Epoch [5/25], Step [300/1289], Loss: 0.2460
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [350/1289], Loss: 0.0725
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [400/1289], Loss: 0.4158
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [450/1289], Loss: 0.2059
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [500/1289], Loss: 0.2281
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [550/1289], Loss: 0.3190
|
||||
Thu, 15 Sep 2022 09:28:58: Epoch [5/25], Step [600/1289], Loss: 0.2319
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [650/1289], Loss: 0.2387
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [700/1289], Loss: 0.2496
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [750/1289], Loss: 0.1752
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [800/1289], Loss: 0.1720
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [850/1289], Loss: 0.0679
|
||||
Thu, 15 Sep 2022 09:28:59: Epoch [5/25], Step [900/1289], Loss: 0.3826
|
||||
Thu, 15 Sep 2022 09:29:00: Epoch [5/25], Step [950/1289], Loss: 0.3275
|
||||
Thu, 15 Sep 2022 09:29:00: Epoch [5/25], Step [1000/1289], Loss: 0.4985
|
||||
Thu, 15 Sep 2022 09:29:00: Epoch [5/25], Step [1050/1289], Loss: 0.3009
|
||||
Thu, 15 Sep 2022 09:29:00: Epoch [5/25], Step [1100/1289], Loss: 0.1486
|
||||
Thu, 15 Sep 2022 09:29:00: Epoch [5/25], Step [1150/1289], Loss: 0.2819
|
||||
Thu, 15 Sep 2022 09:29:01: Epoch [5/25], Step [1200/1289], Loss: 0.2681
|
||||
Thu, 15 Sep 2022 09:29:01: Epoch [5/25], Step [1250/1289], Loss: 0.2425
|
||||
Thu, 15 Sep 2022 09:29:01: Epoch [6/25], Step [50/1289], Loss: 0.1290
|
||||
Thu, 15 Sep 2022 09:29:01: Epoch [6/25], Step [100/1289], Loss: 0.2742
|
||||
Thu, 15 Sep 2022 09:29:01: Epoch [6/25], Step [150/1289], Loss: 0.3529
|
||||
Thu, 15 Sep 2022 09:29:02: Epoch [6/25], Step [200/1289], Loss: 0.2592
|
||||
Thu, 15 Sep 2022 09:29:02: Epoch [6/25], Step [250/1289], Loss: 0.3439
|
||||
Thu, 15 Sep 2022 09:29:02: Epoch [6/25], Step [300/1289], Loss: 0.1002
|
||||
Thu, 15 Sep 2022 09:29:02: Epoch [6/25], Step [350/1289], Loss: 0.1720
|
||||
Thu, 15 Sep 2022 09:29:02: Epoch [6/25], Step [400/1289], Loss: 0.2870
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [450/1289], Loss: 0.1020
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [500/1289], Loss: 0.1307
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [550/1289], Loss: 0.1874
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [600/1289], Loss: 0.1537
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [650/1289], Loss: 0.2894
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [700/1289], Loss: 0.2233
|
||||
Thu, 15 Sep 2022 09:29:03: Epoch [6/25], Step [750/1289], Loss: 0.1955
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [800/1289], Loss: 0.1465
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [850/1289], Loss: 0.0909
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [900/1289], Loss: 0.0968
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [950/1289], Loss: 0.1636
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [1000/1289], Loss: 0.1548
|
||||
Thu, 15 Sep 2022 09:29:04: Epoch [6/25], Step [1050/1289], Loss: 0.1848
|
||||
Thu, 15 Sep 2022 09:29:05: Epoch [6/25], Step [1100/1289], Loss: 0.2029
|
||||
Thu, 15 Sep 2022 09:29:05: Epoch [6/25], Step [1150/1289], Loss: 0.1035
|
||||
Thu, 15 Sep 2022 09:29:05: Epoch [6/25], Step [1200/1289], Loss: 0.1247
|
||||
Thu, 15 Sep 2022 09:29:05: Epoch [6/25], Step [1250/1289], Loss: 0.2317
|
||||
Thu, 15 Sep 2022 09:29:05: Epoch [7/25], Step [50/1289], Loss: 0.1137
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [100/1289], Loss: 0.1625
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [150/1289], Loss: 0.0887
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [200/1289], Loss: 0.1816
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [250/1289], Loss: 0.0828
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [300/1289], Loss: 0.1666
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [350/1289], Loss: 0.1574
|
||||
Thu, 15 Sep 2022 09:29:06: Epoch [7/25], Step [400/1289], Loss: 0.2100
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [450/1289], Loss: 0.1034
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [500/1289], Loss: 0.1223
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [550/1289], Loss: 0.2499
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [600/1289], Loss: 0.2635
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [650/1289], Loss: 0.0609
|
||||
Thu, 15 Sep 2022 09:29:07: Epoch [7/25], Step [700/1289], Loss: 0.2405
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [750/1289], Loss: 0.1457
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [800/1289], Loss: 0.2062
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [850/1289], Loss: 0.1760
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [900/1289], Loss: 0.0799
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [950/1289], Loss: 0.1647
|
||||
Thu, 15 Sep 2022 09:29:08: Epoch [7/25], Step [1000/1289], Loss: 0.1376
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [7/25], Step [1050/1289], Loss: 0.0853
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [7/25], Step [1100/1289], Loss: 0.2317
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [7/25], Step [1150/1289], Loss: 0.0631
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [7/25], Step [1200/1289], Loss: 0.0883
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [7/25], Step [1250/1289], Loss: 0.1932
|
||||
Thu, 15 Sep 2022 09:29:09: Epoch [8/25], Step [50/1289], Loss: 0.1430
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [100/1289], Loss: 0.0913
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [150/1289], Loss: 0.1178
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [200/1289], Loss: 0.2296
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [250/1289], Loss: 0.2097
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [300/1289], Loss: 0.2053
|
||||
Thu, 15 Sep 2022 09:29:10: Epoch [8/25], Step [350/1289], Loss: 0.1898
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [400/1289], Loss: 0.2407
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [450/1289], Loss: 0.1881
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [500/1289], Loss: 0.1055
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [550/1289], Loss: 0.0994
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [600/1289], Loss: 0.1150
|
||||
Thu, 15 Sep 2022 09:29:11: Epoch [8/25], Step [650/1289], Loss: 0.1196
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [700/1289], Loss: 0.1055
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [750/1289], Loss: 0.0807
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [800/1289], Loss: 0.1073
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [850/1289], Loss: 0.1051
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [900/1289], Loss: 0.1841
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [950/1289], Loss: 0.2292
|
||||
Thu, 15 Sep 2022 09:29:12: Epoch [8/25], Step [1000/1289], Loss: 0.1353
|
||||
Thu, 15 Sep 2022 09:29:13: Epoch [8/25], Step [1050/1289], Loss: 0.0829
|
||||
Thu, 15 Sep 2022 09:29:13: Epoch [8/25], Step [1100/1289], Loss: 0.0919
|
||||
Thu, 15 Sep 2022 09:29:13: Epoch [8/25], Step [1150/1289], Loss: 0.1739
|
||||
Thu, 15 Sep 2022 09:29:13: Epoch [8/25], Step [1200/1289], Loss: 0.1053
|
||||
Thu, 15 Sep 2022 09:29:13: Epoch [8/25], Step [1250/1289], Loss: 0.0618
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [50/1289], Loss: 0.1572
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [100/1289], Loss: 0.2711
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [150/1289], Loss: 0.1131
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [200/1289], Loss: 0.0415
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [250/1289], Loss: 0.2196
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [300/1289], Loss: 0.1120
|
||||
Thu, 15 Sep 2022 09:29:14: Epoch [9/25], Step [350/1289], Loss: 0.0710
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [400/1289], Loss: 0.1191
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [450/1289], Loss: 0.1711
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [500/1289], Loss: 0.1179
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [550/1289], Loss: 0.0569
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [600/1289], Loss: 0.1790
|
||||
Thu, 15 Sep 2022 09:29:15: Epoch [9/25], Step [650/1289], Loss: 0.1303
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [700/1289], Loss: 0.1051
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [750/1289], Loss: 0.1671
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [800/1289], Loss: 0.2753
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [850/1289], Loss: 0.0976
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [900/1289], Loss: 0.1318
|
||||
Thu, 15 Sep 2022 09:29:16: Epoch [9/25], Step [950/1289], Loss: 0.2435
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1000/1289], Loss: 0.0716
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1050/1289], Loss: 0.1505
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1100/1289], Loss: 0.2117
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1150/1289], Loss: 0.1504
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1200/1289], Loss: 0.6539
|
||||
Thu, 15 Sep 2022 09:29:17: Epoch [9/25], Step [1250/1289], Loss: 0.2162
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [50/1289], Loss: 0.1965
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [100/1289], Loss: 0.1223
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [150/1289], Loss: 0.2988
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [200/1289], Loss: 0.1858
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [250/1289], Loss: 0.2081
|
||||
Thu, 15 Sep 2022 09:29:18: Epoch [10/25], Step [300/1289], Loss: 0.8037
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [350/1289], Loss: 0.4073
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [400/1289], Loss: 0.2909
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [450/1289], Loss: 0.2907
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [500/1289], Loss: 0.3648
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [550/1289], Loss: 0.2219
|
||||
Thu, 15 Sep 2022 09:29:19: Epoch [10/25], Step [600/1289], Loss: 0.2909
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [650/1289], Loss: 0.2392
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [700/1289], Loss: 0.2076
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [750/1289], Loss: 0.1576
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [800/1289], Loss: 0.3229
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [850/1289], Loss: 0.4279
|
||||
Thu, 15 Sep 2022 09:29:20: Epoch [10/25], Step [900/1289], Loss: 0.2481
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [950/1289], Loss: 0.2198
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [1000/1289], Loss: 0.6909
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [1050/1289], Loss: 0.2321
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [1100/1289], Loss: 0.2143
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [1150/1289], Loss: 0.2161
|
||||
Thu, 15 Sep 2022 09:29:21: Epoch [10/25], Step [1200/1289], Loss: 0.1822
|
||||
Thu, 15 Sep 2022 09:29:22: Epoch [10/25], Step [1250/1289], Loss: 0.1686
|
||||
Thu, 15 Sep 2022 09:29:22: Epoch [11/25], Step [50/1289], Loss: 0.1776
|
||||
Thu, 15 Sep 2022 09:29:22: Epoch [11/25], Step [100/1289], Loss: 0.1111
|
||||
Thu, 15 Sep 2022 09:29:22: Epoch [11/25], Step [150/1289], Loss: 0.2025
|
||||
Thu, 15 Sep 2022 09:29:22: Epoch [11/25], Step [200/1289], Loss: 0.3346
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [250/1289], Loss: 0.1716
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [300/1289], Loss: 0.2217
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [350/1289], Loss: 0.2478
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [400/1289], Loss: 0.1778
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [450/1289], Loss: 0.1788
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [500/1289], Loss: 0.0948
|
||||
Thu, 15 Sep 2022 09:29:23: Epoch [11/25], Step [550/1289], Loss: 0.2683
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [600/1289], Loss: 0.0780
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [650/1289], Loss: 0.2039
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [700/1289], Loss: 0.1477
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [750/1289], Loss: 0.1660
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [800/1289], Loss: 0.2602
|
||||
Thu, 15 Sep 2022 09:29:24: Epoch [11/25], Step [850/1289], Loss: 0.1092
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [900/1289], Loss: 0.1680
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [950/1289], Loss: 0.1010
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [1000/1289], Loss: 0.2060
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [1050/1289], Loss: 0.1472
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [1100/1289], Loss: 0.1672
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [1150/1289], Loss: 0.1212
|
||||
Thu, 15 Sep 2022 09:29:25: Epoch [11/25], Step [1200/1289], Loss: 0.1345
|
||||
Thu, 15 Sep 2022 09:29:26: Epoch [11/25], Step [1250/1289], Loss: 0.1917
|
||||
Thu, 15 Sep 2022 09:29:26: Epoch [12/25], Step [50/1289], Loss: 0.1011
|
||||
Thu, 15 Sep 2022 09:29:26: Epoch [12/25], Step [100/1289], Loss: 0.2141
|
||||
Thu, 15 Sep 2022 09:29:26: Epoch [12/25], Step [150/1289], Loss: 0.0935
|
||||
Thu, 15 Sep 2022 09:29:26: Epoch [12/25], Step [200/1289], Loss: 0.1275
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [250/1289], Loss: 0.0828
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [300/1289], Loss: 0.1973
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [350/1289], Loss: 0.0467
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [400/1289], Loss: 0.2960
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [450/1289], Loss: 0.1373
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [500/1289], Loss: 0.1857
|
||||
Thu, 15 Sep 2022 09:29:27: Epoch [12/25], Step [550/1289], Loss: 0.1499
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [600/1289], Loss: 0.1187
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [650/1289], Loss: 0.1646
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [700/1289], Loss: 0.2783
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [750/1289], Loss: 0.0725
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [800/1289], Loss: 0.1530
|
||||
Thu, 15 Sep 2022 09:29:28: Epoch [12/25], Step [850/1289], Loss: 0.1236
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [900/1289], Loss: 0.2214
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [950/1289], Loss: 0.2118
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [1000/1289], Loss: 0.1148
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [1050/1289], Loss: 0.0864
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [1100/1289], Loss: 0.1256
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [1150/1289], Loss: 0.1507
|
||||
Thu, 15 Sep 2022 09:29:29: Epoch [12/25], Step [1200/1289], Loss: 0.1418
|
||||
Thu, 15 Sep 2022 09:29:30: Epoch [12/25], Step [1250/1289], Loss: 0.1074
|
||||
Thu, 15 Sep 2022 09:29:30: Epoch [13/25], Step [50/1289], Loss: 0.1417
|
||||
Thu, 15 Sep 2022 09:29:30: Epoch [13/25], Step [100/1289], Loss: 0.1411
|
||||
Thu, 15 Sep 2022 09:29:30: Epoch [13/25], Step [150/1289], Loss: 0.0394
|
||||
Thu, 15 Sep 2022 09:29:30: Epoch [13/25], Step [200/1289], Loss: 0.4471
|
||||
Thu, 15 Sep 2022 09:29:31: Epoch [13/25], Step [250/1289], Loss: 0.2217
|
||||
Thu, 15 Sep 2022 09:29:31: Epoch [13/25], Step [300/1289], Loss: 0.1370
|
||||
Thu, 15 Sep 2022 09:29:31: Epoch [13/25], Step [350/1289], Loss: 0.2325
|
||||
Thu, 15 Sep 2022 09:29:31: Epoch [13/25], Step [400/1289], Loss: 0.1341
|
||||
Thu, 15 Sep 2022 09:29:32: Epoch [13/25], Step [450/1289], Loss: 0.1558
|
||||
Thu, 15 Sep 2022 09:29:32: Epoch [13/25], Step [500/1289], Loss: 0.1529
|
||||
Thu, 15 Sep 2022 09:29:32: Epoch [13/25], Step [550/1289], Loss: 0.1528
|
||||
Thu, 15 Sep 2022 09:29:32: Epoch [13/25], Step [600/1289], Loss: 0.2408
|
||||
Thu, 15 Sep 2022 09:29:32: Epoch [13/25], Step [650/1289], Loss: 0.1466
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [700/1289], Loss: 0.2152
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [750/1289], Loss: 0.1887
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [800/1289], Loss: 0.2411
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [850/1289], Loss: 0.2153
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [900/1289], Loss: 0.0808
|
||||
Thu, 15 Sep 2022 09:29:33: Epoch [13/25], Step [950/1289], Loss: 0.1295
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1000/1289], Loss: 0.1981
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1050/1289], Loss: 0.1374
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1100/1289], Loss: 0.1830
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1150/1289], Loss: 0.1117
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1200/1289], Loss: 0.0920
|
||||
Thu, 15 Sep 2022 09:29:34: Epoch [13/25], Step [1250/1289], Loss: 0.2069
|
||||
Thu, 15 Sep 2022 09:29:35: Epoch [14/25], Step [50/1289], Loss: 0.1061
|
||||
Thu, 15 Sep 2022 09:29:35: Epoch [14/25], Step [100/1289], Loss: 0.1024
|
||||
Thu, 15 Sep 2022 09:29:35: Epoch [14/25], Step [150/1289], Loss: 0.3164
|
||||
Thu, 15 Sep 2022 09:29:35: Epoch [14/25], Step [200/1289], Loss: 0.1164
|
||||
Thu, 15 Sep 2022 09:29:35: Epoch [14/25], Step [250/1289], Loss: 0.0701
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [300/1289], Loss: 0.1535
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [350/1289], Loss: 0.1828
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [400/1289], Loss: 0.1892
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [450/1289], Loss: 0.2264
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [500/1289], Loss: 0.1550
|
||||
Thu, 15 Sep 2022 09:29:36: Epoch [14/25], Step [550/1289], Loss: 0.2610
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [600/1289], Loss: 0.1885
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [650/1289], Loss: 0.2605
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [700/1289], Loss: 0.1876
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [750/1289], Loss: 0.2393
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [800/1289], Loss: 0.1455
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [850/1289], Loss: 0.1491
|
||||
Thu, 15 Sep 2022 09:29:37: Epoch [14/25], Step [900/1289], Loss: 0.1202
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [950/1289], Loss: 0.1092
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [1000/1289], Loss: 0.0689
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [1050/1289], Loss: 0.1311
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [1100/1289], Loss: 0.1100
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [1150/1289], Loss: 0.1490
|
||||
Thu, 15 Sep 2022 09:29:38: Epoch [14/25], Step [1200/1289], Loss: 0.1327
|
||||
Thu, 15 Sep 2022 09:29:39: Epoch [14/25], Step [1250/1289], Loss: 0.1622
|
||||
Thu, 15 Sep 2022 09:29:39: Epoch [15/25], Step [50/1289], Loss: 0.1369
|
||||
Thu, 15 Sep 2022 09:29:39: Epoch [15/25], Step [100/1289], Loss: 0.1594
|
||||
Thu, 15 Sep 2022 09:29:39: Epoch [15/25], Step [150/1289], Loss: 0.1219
|
||||
Thu, 15 Sep 2022 09:29:39: Epoch [15/25], Step [200/1289], Loss: 0.0934
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [250/1289], Loss: 0.2748
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [300/1289], Loss: 0.1073
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [350/1289], Loss: 0.5638
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [400/1289], Loss: 0.3781
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [450/1289], Loss: 0.3674
|
||||
Thu, 15 Sep 2022 09:29:40: Epoch [15/25], Step [500/1289], Loss: 0.3680
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [550/1289], Loss: 0.1312
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [600/1289], Loss: 0.1390
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [650/1289], Loss: 0.2249
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [700/1289], Loss: 0.2940
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [750/1289], Loss: 0.2377
|
||||
Thu, 15 Sep 2022 09:29:41: Epoch [15/25], Step [800/1289], Loss: 0.2673
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [850/1289], Loss: 0.0935
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [900/1289], Loss: 0.2052
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [950/1289], Loss: 0.2642
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [1000/1289], Loss: 0.0990
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [1050/1289], Loss: 0.1531
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [1100/1289], Loss: 0.1533
|
||||
Thu, 15 Sep 2022 09:29:42: Epoch [15/25], Step [1150/1289], Loss: 0.1881
|
||||
Thu, 15 Sep 2022 09:29:43: Epoch [15/25], Step [1200/1289], Loss: 0.2635
|
||||
Thu, 15 Sep 2022 09:29:43: Epoch [15/25], Step [1250/1289], Loss: 0.2016
|
||||
Thu, 15 Sep 2022 09:29:43: Epoch [16/25], Step [50/1289], Loss: 0.2460
|
||||
Thu, 15 Sep 2022 09:29:43: Epoch [16/25], Step [100/1289], Loss: 0.1326
|
||||
Thu, 15 Sep 2022 09:29:43: Epoch [16/25], Step [150/1289], Loss: 0.1283
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [200/1289], Loss: 0.3636
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [250/1289], Loss: 0.1643
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [300/1289], Loss: 0.1290
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [350/1289], Loss: 0.1788
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [400/1289], Loss: 0.1585
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [450/1289], Loss: 0.1869
|
||||
Thu, 15 Sep 2022 09:29:44: Epoch [16/25], Step [500/1289], Loss: 0.1494
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [550/1289], Loss: 0.1667
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [600/1289], Loss: 0.1631
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [650/1289], Loss: 0.2111
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [700/1289], Loss: 0.1657
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [750/1289], Loss: 0.0424
|
||||
Thu, 15 Sep 2022 09:29:45: Epoch [16/25], Step [800/1289], Loss: 0.2314
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [850/1289], Loss: 0.2518
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [900/1289], Loss: 0.1894
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [950/1289], Loss: 0.1517
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [1000/1289], Loss: 0.1981
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [1050/1289], Loss: 0.1554
|
||||
Thu, 15 Sep 2022 09:29:46: Epoch [16/25], Step [1100/1289], Loss: 0.2538
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [16/25], Step [1150/1289], Loss: 0.1388
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [16/25], Step [1200/1289], Loss: 0.1646
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [16/25], Step [1250/1289], Loss: 0.1625
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [17/25], Step [50/1289], Loss: 0.2189
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [17/25], Step [100/1289], Loss: 0.1202
|
||||
Thu, 15 Sep 2022 09:29:47: Epoch [17/25], Step [150/1289], Loss: 0.2163
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [200/1289], Loss: 0.0430
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [250/1289], Loss: 0.0981
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [300/1289], Loss: 0.2105
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [350/1289], Loss: 0.1390
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [400/1289], Loss: 0.1995
|
||||
Thu, 15 Sep 2022 09:29:48: Epoch [17/25], Step [450/1289], Loss: 0.1054
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [500/1289], Loss: 0.0683
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [550/1289], Loss: 0.1593
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [600/1289], Loss: 0.0953
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [650/1289], Loss: 0.1092
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [700/1289], Loss: 0.1893
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [750/1289], Loss: 0.1445
|
||||
Thu, 15 Sep 2022 09:29:49: Epoch [17/25], Step [800/1289], Loss: 0.0793
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [850/1289], Loss: 0.1561
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [900/1289], Loss: 0.1401
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [950/1289], Loss: 0.5636
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [1000/1289], Loss: 0.3885
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [1050/1289], Loss: 0.1959
|
||||
Thu, 15 Sep 2022 09:29:50: Epoch [17/25], Step [1100/1289], Loss: 0.3200
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [17/25], Step [1150/1289], Loss: 0.1922
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [17/25], Step [1200/1289], Loss: 0.1654
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [17/25], Step [1250/1289], Loss: 0.1557
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [18/25], Step [50/1289], Loss: 0.2320
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [18/25], Step [100/1289], Loss: 0.2577
|
||||
Thu, 15 Sep 2022 09:29:51: Epoch [18/25], Step [150/1289], Loss: 0.2178
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [200/1289], Loss: 0.1588
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [250/1289], Loss: 0.1556
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [300/1289], Loss: 0.1357
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [350/1289], Loss: 0.1803
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [400/1289], Loss: 0.2757
|
||||
Thu, 15 Sep 2022 09:29:52: Epoch [18/25], Step [450/1289], Loss: 0.2196
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [500/1289], Loss: 0.1419
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [550/1289], Loss: 0.2176
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [600/1289], Loss: 0.3513
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [650/1289], Loss: 0.1802
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [700/1289], Loss: 0.1137
|
||||
Thu, 15 Sep 2022 09:29:53: Epoch [18/25], Step [750/1289], Loss: 0.2997
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [800/1289], Loss: 0.3577
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [850/1289], Loss: 0.3208
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [900/1289], Loss: 0.3699
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [950/1289], Loss: 0.3090
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [1000/1289], Loss: 0.1881
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [1050/1289], Loss: 0.1220
|
||||
Thu, 15 Sep 2022 09:29:54: Epoch [18/25], Step [1100/1289], Loss: 0.0817
|
||||
Thu, 15 Sep 2022 09:29:55: Epoch [18/25], Step [1150/1289], Loss: 0.1105
|
||||
Thu, 15 Sep 2022 09:29:55: Epoch [18/25], Step [1200/1289], Loss: 0.2129
|
||||
Thu, 15 Sep 2022 09:29:55: Epoch [18/25], Step [1250/1289], Loss: 0.1060
|
||||
Thu, 15 Sep 2022 09:29:55: Epoch [19/25], Step [50/1289], Loss: 0.1603
|
||||
Thu, 15 Sep 2022 09:29:55: Epoch [19/25], Step [100/1289], Loss: 0.2612
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [150/1289], Loss: 0.1704
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [200/1289], Loss: 0.1779
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [250/1289], Loss: 0.2855
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [300/1289], Loss: 0.2357
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [350/1289], Loss: 0.1996
|
||||
Thu, 15 Sep 2022 09:29:56: Epoch [19/25], Step [400/1289], Loss: 0.1864
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [450/1289], Loss: 0.1404
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [500/1289], Loss: 0.1271
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [550/1289], Loss: 0.2081
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [600/1289], Loss: 0.1454
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [650/1289], Loss: 0.1195
|
||||
Thu, 15 Sep 2022 09:29:57: Epoch [19/25], Step [700/1289], Loss: 0.1710
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [750/1289], Loss: 0.0723
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [800/1289], Loss: 0.2556
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [850/1289], Loss: 0.0984
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [900/1289], Loss: 0.1404
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [950/1289], Loss: 0.1149
|
||||
Thu, 15 Sep 2022 09:29:58: Epoch [19/25], Step [1000/1289], Loss: 0.2047
|
||||
Thu, 15 Sep 2022 09:29:59: Epoch [19/25], Step [1050/1289], Loss: 0.1855
|
||||
Thu, 15 Sep 2022 09:29:59: Epoch [19/25], Step [1100/1289], Loss: 0.1015
|
||||
Thu, 15 Sep 2022 09:29:59: Epoch [19/25], Step [1150/1289], Loss: 0.1051
|
||||
Thu, 15 Sep 2022 09:29:59: Epoch [19/25], Step [1200/1289], Loss: 0.1574
|
||||
Thu, 15 Sep 2022 09:29:59: Epoch [19/25], Step [1250/1289], Loss: 0.2618
|
||||
Thu, 15 Sep 2022 09:30:00: Epoch [20/25], Step [50/1289], Loss: 0.1111
|
||||
Thu, 15 Sep 2022 09:30:00: Epoch [20/25], Step [100/1289], Loss: 0.1994
|
||||
Thu, 15 Sep 2022 09:30:00: Epoch [20/25], Step [150/1289], Loss: 0.0855
|
||||
Thu, 15 Sep 2022 09:30:00: Epoch [20/25], Step [200/1289], Loss: 0.1939
|
||||
Thu, 15 Sep 2022 09:30:01: Epoch [20/25], Step [250/1289], Loss: 0.1620
|
||||
Thu, 15 Sep 2022 09:30:01: Epoch [20/25], Step [300/1289], Loss: 0.0651
|
||||
Thu, 15 Sep 2022 09:30:01: Epoch [20/25], Step [350/1289], Loss: 0.0922
|
||||
Thu, 15 Sep 2022 09:30:01: Epoch [20/25], Step [400/1289], Loss: 0.1903
|
||||
Thu, 15 Sep 2022 09:30:01: Epoch [20/25], Step [450/1289], Loss: 0.0935
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [500/1289], Loss: 0.2211
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [550/1289], Loss: 0.1695
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [600/1289], Loss: 0.1985
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [650/1289], Loss: 0.1028
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [700/1289], Loss: 0.1340
|
||||
Thu, 15 Sep 2022 09:30:02: Epoch [20/25], Step [750/1289], Loss: 0.1229
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [800/1289], Loss: 0.1299
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [850/1289], Loss: 0.1611
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [900/1289], Loss: 0.0778
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [950/1289], Loss: 0.1929
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [1000/1289], Loss: 0.1264
|
||||
Thu, 15 Sep 2022 09:30:03: Epoch [20/25], Step [1050/1289], Loss: 0.2057
|
||||
Thu, 15 Sep 2022 09:30:04: Epoch [20/25], Step [1100/1289], Loss: 0.0810
|
||||
Thu, 15 Sep 2022 09:30:04: Epoch [20/25], Step [1150/1289], Loss: 0.0742
|
||||
Thu, 15 Sep 2022 09:30:04: Epoch [20/25], Step [1200/1289], Loss: 0.1456
|
||||
Thu, 15 Sep 2022 09:30:04: Epoch [20/25], Step [1250/1289], Loss: 0.3194
|
||||
Thu, 15 Sep 2022 09:30:04: Epoch [21/25], Step [50/1289], Loss: 0.2413
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [100/1289], Loss: 0.1516
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [150/1289], Loss: 0.2501
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [200/1289], Loss: 0.1614
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [250/1289], Loss: 0.0560
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [300/1289], Loss: 0.1383
|
||||
Thu, 15 Sep 2022 09:30:05: Epoch [21/25], Step [350/1289], Loss: 0.0794
|
||||
Thu, 15 Sep 2022 09:30:06: Epoch [21/25], Step [400/1289], Loss: 0.2501
|
||||
Thu, 15 Sep 2022 09:30:06: Epoch [21/25], Step [450/1289], Loss: 0.2163
|
||||
Thu, 15 Sep 2022 09:30:06: Epoch [21/25], Step [500/1289], Loss: 0.2321
|
||||
Thu, 15 Sep 2022 09:30:06: Epoch [21/25], Step [550/1289], Loss: 0.0611
|
||||
Thu, 15 Sep 2022 09:30:06: Epoch [21/25], Step [600/1289], Loss: 0.1618
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [650/1289], Loss: 0.3630
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [700/1289], Loss: 0.1724
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [750/1289], Loss: 0.1816
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [800/1289], Loss: 0.1555
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [850/1289], Loss: 0.0903
|
||||
Thu, 15 Sep 2022 09:30:07: Epoch [21/25], Step [900/1289], Loss: 0.2131
|
||||
Thu, 15 Sep 2022 09:30:08: Epoch [21/25], Step [950/1289], Loss: 0.1488
|
||||
Thu, 15 Sep 2022 09:30:08: Epoch [21/25], Step [1000/1289], Loss: 0.1039
|
||||
Thu, 15 Sep 2022 09:30:08: Epoch [21/25], Step [1050/1289], Loss: 0.1101
|
||||
Thu, 15 Sep 2022 09:30:08: Epoch [21/25], Step [1100/1289], Loss: 0.1060
|
||||
Thu, 15 Sep 2022 09:30:08: Epoch [21/25], Step [1150/1289], Loss: 0.2804
|
||||
Thu, 15 Sep 2022 09:30:09: Epoch [21/25], Step [1200/1289], Loss: 0.1165
|
||||
Thu, 15 Sep 2022 09:30:09: Epoch [21/25], Step [1250/1289], Loss: 0.0562
|
||||
Thu, 15 Sep 2022 09:30:09: Epoch [22/25], Step [50/1289], Loss: 0.1682
|
||||
Thu, 15 Sep 2022 09:30:09: Epoch [22/25], Step [100/1289], Loss: 0.0867
|
||||
Thu, 15 Sep 2022 09:30:09: Epoch [22/25], Step [150/1289], Loss: 0.1655
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [200/1289], Loss: 0.1477
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [250/1289], Loss: 0.1145
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [300/1289], Loss: 0.1645
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [350/1289], Loss: 0.1626
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [400/1289], Loss: 0.1606
|
||||
Thu, 15 Sep 2022 09:30:10: Epoch [22/25], Step [450/1289], Loss: 0.0931
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [500/1289], Loss: 0.1813
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [550/1289], Loss: 0.1334
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [600/1289], Loss: 0.1256
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [650/1289], Loss: 0.0645
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [700/1289], Loss: 0.1084
|
||||
Thu, 15 Sep 2022 09:30:11: Epoch [22/25], Step [750/1289], Loss: 0.1779
|
||||
Thu, 15 Sep 2022 09:30:12: Epoch [22/25], Step [800/1289], Loss: 0.0925
|
||||
Thu, 15 Sep 2022 09:30:12: Epoch [22/25], Step [850/1289], Loss: 0.1029
|
||||
Thu, 15 Sep 2022 09:30:12: Epoch [22/25], Step [900/1289], Loss: 0.1533
|
||||
Thu, 15 Sep 2022 09:30:12: Epoch [22/25], Step [950/1289], Loss: 0.1509
|
||||
Thu, 15 Sep 2022 09:30:12: Epoch [22/25], Step [1000/1289], Loss: 0.2337
|
||||
Thu, 15 Sep 2022 09:30:13: Epoch [22/25], Step [1050/1289], Loss: 0.0536
|
||||
Thu, 15 Sep 2022 09:30:13: Epoch [22/25], Step [1100/1289], Loss: 0.1959
|
||||
Thu, 15 Sep 2022 09:30:13: Epoch [22/25], Step [1150/1289], Loss: 0.0741
|
||||
Thu, 15 Sep 2022 09:30:13: Epoch [22/25], Step [1200/1289], Loss: 0.1814
|
||||
Thu, 15 Sep 2022 09:30:13: Epoch [22/25], Step [1250/1289], Loss: 0.1141
|
||||
Thu, 15 Sep 2022 09:30:14: Epoch [23/25], Step [50/1289], Loss: 0.1374
|
||||
Thu, 15 Sep 2022 09:30:14: Epoch [23/25], Step [100/1289], Loss: 0.2736
|
||||
Thu, 15 Sep 2022 09:30:14: Epoch [23/25], Step [150/1289], Loss: 0.1248
|
||||
Thu, 15 Sep 2022 09:30:14: Epoch [23/25], Step [200/1289], Loss: 0.2788
|
||||
Thu, 15 Sep 2022 09:30:14: Epoch [23/25], Step [250/1289], Loss: 0.1453
|
||||
Thu, 15 Sep 2022 09:30:15: Epoch [23/25], Step [300/1289], Loss: 0.0774
|
||||
Thu, 15 Sep 2022 09:30:15: Epoch [23/25], Step [350/1289], Loss: 0.0979
|
||||
Thu, 15 Sep 2022 09:30:15: Epoch [23/25], Step [400/1289], Loss: 0.1046
|
||||
Thu, 15 Sep 2022 09:30:15: Epoch [23/25], Step [450/1289], Loss: 0.1482
|
||||
Thu, 15 Sep 2022 09:30:15: Epoch [23/25], Step [500/1289], Loss: 0.0514
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [550/1289], Loss: 0.0973
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [600/1289], Loss: 0.1945
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [650/1289], Loss: 0.1745
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [700/1289], Loss: 0.0877
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [750/1289], Loss: 0.1470
|
||||
Thu, 15 Sep 2022 09:30:16: Epoch [23/25], Step [800/1289], Loss: 0.0982
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [850/1289], Loss: 0.1017
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [900/1289], Loss: 0.2046
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [950/1289], Loss: 0.1222
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [1000/1289], Loss: 0.0903
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [1050/1289], Loss: 0.1361
|
||||
Thu, 15 Sep 2022 09:30:17: Epoch [23/25], Step [1100/1289], Loss: 0.1442
|
||||
Thu, 15 Sep 2022 09:30:18: Epoch [23/25], Step [1150/1289], Loss: 0.1691
|
||||
Thu, 15 Sep 2022 09:30:18: Epoch [23/25], Step [1200/1289], Loss: 0.1527
|
||||
Thu, 15 Sep 2022 09:30:18: Epoch [23/25], Step [1250/1289], Loss: 0.1204
|
||||
Thu, 15 Sep 2022 09:30:18: Epoch [24/25], Step [50/1289], Loss: 0.1570
|
||||
Thu, 15 Sep 2022 09:30:18: Epoch [24/25], Step [100/1289], Loss: 0.1168
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [150/1289], Loss: 0.1027
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [200/1289], Loss: 0.1418
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [250/1289], Loss: 0.0842
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [300/1289], Loss: 0.1272
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [350/1289], Loss: 0.1018
|
||||
Thu, 15 Sep 2022 09:30:19: Epoch [24/25], Step [400/1289], Loss: 0.1358
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [450/1289], Loss: 0.1715
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [500/1289], Loss: 0.1769
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [550/1289], Loss: 0.0759
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [600/1289], Loss: 0.1348
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [650/1289], Loss: 0.0943
|
||||
Thu, 15 Sep 2022 09:30:20: Epoch [24/25], Step [700/1289], Loss: 0.1059
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [750/1289], Loss: 0.1957
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [800/1289], Loss: 0.1467
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [850/1289], Loss: 0.0677
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [900/1289], Loss: 0.1452
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [950/1289], Loss: 0.1412
|
||||
Thu, 15 Sep 2022 09:30:21: Epoch [24/25], Step [1000/1289], Loss: 0.1448
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [24/25], Step [1050/1289], Loss: 0.0903
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [24/25], Step [1100/1289], Loss: 0.0999
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [24/25], Step [1150/1289], Loss: 0.1147
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [24/25], Step [1200/1289], Loss: 0.0652
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [24/25], Step [1250/1289], Loss: 0.1669
|
||||
Thu, 15 Sep 2022 09:30:22: Epoch [25/25], Step [50/1289], Loss: 0.1580
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [100/1289], Loss: 0.2490
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [150/1289], Loss: 0.1054
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [200/1289], Loss: 0.1019
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [250/1289], Loss: 0.2214
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [300/1289], Loss: 0.1172
|
||||
Thu, 15 Sep 2022 09:30:23: Epoch [25/25], Step [350/1289], Loss: 0.1115
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [400/1289], Loss: 0.1783
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [450/1289], Loss: 0.1059
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [500/1289], Loss: 0.1444
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [550/1289], Loss: 0.1509
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [600/1289], Loss: 0.1964
|
||||
Thu, 15 Sep 2022 09:30:24: Epoch [25/25], Step [650/1289], Loss: 0.1630
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [700/1289], Loss: 0.0737
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [750/1289], Loss: 0.1385
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [800/1289], Loss: 0.1275
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [850/1289], Loss: 0.1645
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [900/1289], Loss: 0.1737
|
||||
Thu, 15 Sep 2022 09:30:25: Epoch [25/25], Step [950/1289], Loss: 0.0864
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1000/1289], Loss: 0.1748
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1050/1289], Loss: 0.1672
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1100/1289], Loss: 0.1251
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1150/1289], Loss: 0.0826
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1200/1289], Loss: 0.1869
|
||||
Thu, 15 Sep 2022 09:30:26: Epoch [25/25], Step [1250/1289], Loss: 0.2154
|
||||
Thu, 15 Sep 2022 09:30:27: start testing on test dataset
|
||||
Thu, 15 Sep 2022 09:30:27: f1 :0.9587134094015193
|
||||
Thu, 15 Sep 2022 09:30:27:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9396 0.9826 0.9606 16119
|
||||
1 0.9817 0.9368 0.9587 16100
|
||||
|
||||
accuracy 0.9597 32219
|
||||
macro avg 0.9607 0.9597 0.9597 32219
|
||||
weighted avg 0.9606 0.9597 0.9597 32219
|
||||
|
||||
Thu, 15 Sep 2022 09:30:27:
|
||||
[[15838 281]
|
||||
[ 1018 15082]]
|
||||
Thu, 15 Sep 2022 09:30:27: high_num,high_true,high_false:5400,4976,424
|
||||
Thu, 15 Sep 2022 09:30:27: low_num,low_true,low_false:10700,10106,594
|
||||
647
代码/sequenceShield/新小论文数据/ss-gru-cicddos2019.log
Normal file
647
代码/sequenceShield/新小论文数据/ss-gru-cicddos2019.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Wed, 14 Sep 2022 23:35:03: -------------
|
||||
Wed, 14 Sep 2022 23:35:03: cuda is_available:True
|
||||
Wed, 14 Sep 2022 23:35:03: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 23:35:03: get protocols:
|
||||
Wed, 14 Sep 2022 23:35:03: reading csv file: all.csv
|
||||
Wed, 14 Sep 2022 23:36:45: procols num: 484
|
||||
Wed, 14 Sep 2022 23:36:45: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Wed, 14 Sep 2022 23:36:47: preprocessing file ./cicddos2019/label/all.csv
|
||||
Wed, 14 Sep 2022 23:37:41: before sampling number_1:1546004
|
||||
Wed, 14 Sep 2022 23:37:41: before sampling number_0:20691
|
||||
Thu, 15 Sep 2022 00:01:39: start training ./cicddos2019/label/all.csv
|
||||
Thu, 15 Sep 2022 00:01:48: Epoch [1/10], Step [200/12534], Loss: 0.1325
|
||||
Thu, 15 Sep 2022 00:01:58: Epoch [1/10], Step [400/12534], Loss: 0.0119
|
||||
Thu, 15 Sep 2022 00:02:08: Epoch [1/10], Step [600/12534], Loss: 0.0075
|
||||
Thu, 15 Sep 2022 00:02:17: Epoch [1/10], Step [800/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 00:02:27: Epoch [1/10], Step [1000/12534], Loss: 0.0465
|
||||
Thu, 15 Sep 2022 00:02:37: Epoch [1/10], Step [1200/12534], Loss: 0.0043
|
||||
Thu, 15 Sep 2022 00:02:47: Epoch [1/10], Step [1400/12534], Loss: 0.0869
|
||||
Thu, 15 Sep 2022 00:02:57: Epoch [1/10], Step [1600/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:03:07: Epoch [1/10], Step [1800/12534], Loss: 0.0129
|
||||
Thu, 15 Sep 2022 00:03:17: Epoch [1/10], Step [2000/12534], Loss: 0.0081
|
||||
Thu, 15 Sep 2022 00:03:26: Epoch [1/10], Step [2200/12534], Loss: 0.0157
|
||||
Thu, 15 Sep 2022 00:03:36: Epoch [1/10], Step [2400/12534], Loss: 0.0394
|
||||
Thu, 15 Sep 2022 00:03:46: Epoch [1/10], Step [2600/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:03:56: Epoch [1/10], Step [2800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 00:04:06: Epoch [1/10], Step [3000/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 00:04:16: Epoch [1/10], Step [3200/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 00:04:26: Epoch [1/10], Step [3400/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 00:04:35: Epoch [1/10], Step [3600/12534], Loss: 0.0270
|
||||
Thu, 15 Sep 2022 00:04:45: Epoch [1/10], Step [3800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:04:55: Epoch [1/10], Step [4000/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 00:05:05: Epoch [1/10], Step [4200/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:05:15: Epoch [1/10], Step [4400/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 00:05:24: Epoch [1/10], Step [4600/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 00:05:34: Epoch [1/10], Step [4800/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 00:05:44: Epoch [1/10], Step [5000/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:05:53: Epoch [1/10], Step [5200/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 00:06:03: Epoch [1/10], Step [5400/12534], Loss: 0.0523
|
||||
Thu, 15 Sep 2022 00:06:13: Epoch [1/10], Step [5600/12534], Loss: 0.0173
|
||||
Thu, 15 Sep 2022 00:06:23: Epoch [1/10], Step [5800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:06:32: Epoch [1/10], Step [6000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:06:42: Epoch [1/10], Step [6200/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 00:06:52: Epoch [1/10], Step [6400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:07:02: Epoch [1/10], Step [6600/12534], Loss: 0.0107
|
||||
Thu, 15 Sep 2022 00:07:12: Epoch [1/10], Step [6800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:07:22: Epoch [1/10], Step [7000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:07:32: Epoch [1/10], Step [7200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:07:41: Epoch [1/10], Step [7400/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 00:07:51: Epoch [1/10], Step [7600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:08:01: Epoch [1/10], Step [7800/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 00:08:11: Epoch [1/10], Step [8000/12534], Loss: 0.0168
|
||||
Thu, 15 Sep 2022 00:08:21: Epoch [1/10], Step [8200/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 00:08:31: Epoch [1/10], Step [8400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:08:41: Epoch [1/10], Step [8600/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 00:08:51: Epoch [1/10], Step [8800/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:09:00: Epoch [1/10], Step [9000/12534], Loss: 0.0130
|
||||
Thu, 15 Sep 2022 00:09:11: Epoch [1/10], Step [9200/12534], Loss: 0.0051
|
||||
Thu, 15 Sep 2022 00:09:20: Epoch [1/10], Step [9400/12534], Loss: 0.0282
|
||||
Thu, 15 Sep 2022 00:09:30: Epoch [1/10], Step [9600/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 00:09:40: Epoch [1/10], Step [9800/12534], Loss: 0.0088
|
||||
Thu, 15 Sep 2022 00:09:50: Epoch [1/10], Step [10000/12534], Loss: 0.0318
|
||||
Thu, 15 Sep 2022 00:10:00: Epoch [1/10], Step [10200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:10:10: Epoch [1/10], Step [10400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:10:20: Epoch [1/10], Step [10600/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 00:10:30: Epoch [1/10], Step [10800/12534], Loss: 0.0161
|
||||
Thu, 15 Sep 2022 00:10:39: Epoch [1/10], Step [11000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:10:49: Epoch [1/10], Step [11200/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 00:10:59: Epoch [1/10], Step [11400/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 00:11:09: Epoch [1/10], Step [11600/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:11:19: Epoch [1/10], Step [11800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:11:29: Epoch [1/10], Step [12000/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 00:11:39: Epoch [1/10], Step [12200/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 00:11:48: Epoch [1/10], Step [12400/12534], Loss: 0.0035
|
||||
Thu, 15 Sep 2022 00:12:05: Epoch [2/10], Step [200/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:12:15: Epoch [2/10], Step [400/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 00:12:25: Epoch [2/10], Step [600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:12:35: Epoch [2/10], Step [800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:12:45: Epoch [2/10], Step [1000/12534], Loss: 0.0264
|
||||
Thu, 15 Sep 2022 00:12:55: Epoch [2/10], Step [1200/12534], Loss: 0.0116
|
||||
Thu, 15 Sep 2022 00:13:05: Epoch [2/10], Step [1400/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 00:13:15: Epoch [2/10], Step [1600/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 00:13:26: Epoch [2/10], Step [1800/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 00:13:36: Epoch [2/10], Step [2000/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 00:13:46: Epoch [2/10], Step [2200/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 00:13:56: Epoch [2/10], Step [2400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:14:06: Epoch [2/10], Step [2600/12534], Loss: 0.0416
|
||||
Thu, 15 Sep 2022 00:14:15: Epoch [2/10], Step [2800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 00:14:25: Epoch [2/10], Step [3000/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:14:35: Epoch [2/10], Step [3200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:14:45: Epoch [2/10], Step [3400/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:14:55: Epoch [2/10], Step [3600/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 00:15:05: Epoch [2/10], Step [3800/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 00:15:15: Epoch [2/10], Step [4000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:15:25: Epoch [2/10], Step [4200/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 00:15:35: Epoch [2/10], Step [4400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:15:45: Epoch [2/10], Step [4600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:15:55: Epoch [2/10], Step [4800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:16:05: Epoch [2/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:16:15: Epoch [2/10], Step [5200/12534], Loss: 0.0093
|
||||
Thu, 15 Sep 2022 00:16:24: Epoch [2/10], Step [5400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:16:34: Epoch [2/10], Step [5600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:16:44: Epoch [2/10], Step [5800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:16:54: Epoch [2/10], Step [6000/12534], Loss: 0.0048
|
||||
Thu, 15 Sep 2022 00:17:04: Epoch [2/10], Step [6200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:17:14: Epoch [2/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:17:23: Epoch [2/10], Step [6600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:17:33: Epoch [2/10], Step [6800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:17:43: Epoch [2/10], Step [7000/12534], Loss: 0.0220
|
||||
Thu, 15 Sep 2022 00:17:53: Epoch [2/10], Step [7200/12534], Loss: 0.0097
|
||||
Thu, 15 Sep 2022 00:18:03: Epoch [2/10], Step [7400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:18:13: Epoch [2/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:18:23: Epoch [2/10], Step [7800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:18:33: Epoch [2/10], Step [8000/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:18:42: Epoch [2/10], Step [8200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:18:52: Epoch [2/10], Step [8400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:19:02: Epoch [2/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:19:12: Epoch [2/10], Step [8800/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 00:19:22: Epoch [2/10], Step [9000/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 00:19:32: Epoch [2/10], Step [9200/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:19:42: Epoch [2/10], Step [9400/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 00:19:51: Epoch [2/10], Step [9600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:20:01: Epoch [2/10], Step [9800/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 00:20:11: Epoch [2/10], Step [10000/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:20:21: Epoch [2/10], Step [10200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:20:31: Epoch [2/10], Step [10400/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 00:20:41: Epoch [2/10], Step [10600/12534], Loss: 0.0085
|
||||
Thu, 15 Sep 2022 00:20:51: Epoch [2/10], Step [10800/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 00:21:01: Epoch [2/10], Step [11000/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 00:21:10: Epoch [2/10], Step [11200/12534], Loss: 0.0083
|
||||
Thu, 15 Sep 2022 00:21:20: Epoch [2/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:21:30: Epoch [2/10], Step [11600/12534], Loss: 0.0122
|
||||
Thu, 15 Sep 2022 00:21:40: Epoch [2/10], Step [11800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:21:50: Epoch [2/10], Step [12000/12534], Loss: 0.0325
|
||||
Thu, 15 Sep 2022 00:22:00: Epoch [2/10], Step [12200/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:22:10: Epoch [2/10], Step [12400/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 00:22:28: Epoch [3/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:22:38: Epoch [3/10], Step [400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:22:47: Epoch [3/10], Step [600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:22:57: Epoch [3/10], Step [800/12534], Loss: 0.0229
|
||||
Thu, 15 Sep 2022 00:23:07: Epoch [3/10], Step [1000/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 00:23:17: Epoch [3/10], Step [1200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:23:27: Epoch [3/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:23:37: Epoch [3/10], Step [1600/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 00:23:47: Epoch [3/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:23:57: Epoch [3/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:24:07: Epoch [3/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:24:17: Epoch [3/10], Step [2400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:24:27: Epoch [3/10], Step [2600/12534], Loss: 0.0037
|
||||
Thu, 15 Sep 2022 00:24:37: Epoch [3/10], Step [2800/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 00:24:47: Epoch [3/10], Step [3000/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 00:24:56: Epoch [3/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:25:06: Epoch [3/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:25:16: Epoch [3/10], Step [3600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:25:26: Epoch [3/10], Step [3800/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 00:25:36: Epoch [3/10], Step [4000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:25:46: Epoch [3/10], Step [4200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:25:56: Epoch [3/10], Step [4400/12534], Loss: 0.0057
|
||||
Thu, 15 Sep 2022 00:26:06: Epoch [3/10], Step [4600/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 00:26:16: Epoch [3/10], Step [4800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:26:26: Epoch [3/10], Step [5000/12534], Loss: 0.0190
|
||||
Thu, 15 Sep 2022 00:26:35: Epoch [3/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:26:45: Epoch [3/10], Step [5400/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 00:26:55: Epoch [3/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:27:05: Epoch [3/10], Step [5800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:27:15: Epoch [3/10], Step [6000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:27:25: Epoch [3/10], Step [6200/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 00:27:35: Epoch [3/10], Step [6400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:27:45: Epoch [3/10], Step [6600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:27:55: Epoch [3/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:28:05: Epoch [3/10], Step [7000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:28:14: Epoch [3/10], Step [7200/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 00:28:25: Epoch [3/10], Step [7400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:28:35: Epoch [3/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:28:44: Epoch [3/10], Step [7800/12534], Loss: 0.0104
|
||||
Thu, 15 Sep 2022 00:28:54: Epoch [3/10], Step [8000/12534], Loss: 0.0180
|
||||
Thu, 15 Sep 2022 00:29:04: Epoch [3/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:29:14: Epoch [3/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:29:24: Epoch [3/10], Step [8600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:29:34: Epoch [3/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:29:44: Epoch [3/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:29:53: Epoch [3/10], Step [9200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:30:03: Epoch [3/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:30:13: Epoch [3/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:30:22: Epoch [3/10], Step [9800/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 00:30:32: Epoch [3/10], Step [10000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:30:42: Epoch [3/10], Step [10200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:30:52: Epoch [3/10], Step [10400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:31:01: Epoch [3/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:31:11: Epoch [3/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:31:21: Epoch [3/10], Step [11000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:31:31: Epoch [3/10], Step [11200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:31:40: Epoch [3/10], Step [11400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:31:50: Epoch [3/10], Step [11600/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 00:32:00: Epoch [3/10], Step [11800/12534], Loss: 0.0039
|
||||
Thu, 15 Sep 2022 00:32:09: Epoch [3/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:32:19: Epoch [3/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:32:29: Epoch [3/10], Step [12400/12534], Loss: 0.0032
|
||||
Thu, 15 Sep 2022 00:32:45: Epoch [4/10], Step [200/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 00:32:55: Epoch [4/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:33:05: Epoch [4/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:33:15: Epoch [4/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:33:24: Epoch [4/10], Step [1000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:33:34: Epoch [4/10], Step [1200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:33:44: Epoch [4/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:33:54: Epoch [4/10], Step [1600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:34:03: Epoch [4/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:34:13: Epoch [4/10], Step [2000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:34:23: Epoch [4/10], Step [2200/12534], Loss: 0.0043
|
||||
Thu, 15 Sep 2022 00:34:33: Epoch [4/10], Step [2400/12534], Loss: 0.0225
|
||||
Thu, 15 Sep 2022 00:34:43: Epoch [4/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:34:52: Epoch [4/10], Step [2800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:35:02: Epoch [4/10], Step [3000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:35:12: Epoch [4/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:35:22: Epoch [4/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:35:32: Epoch [4/10], Step [3600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:35:42: Epoch [4/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:35:51: Epoch [4/10], Step [4000/12534], Loss: 0.0172
|
||||
Thu, 15 Sep 2022 00:36:01: Epoch [4/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:36:11: Epoch [4/10], Step [4400/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:36:21: Epoch [4/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:36:31: Epoch [4/10], Step [4800/12534], Loss: 0.0057
|
||||
Thu, 15 Sep 2022 00:36:40: Epoch [4/10], Step [5000/12534], Loss: 0.0514
|
||||
Thu, 15 Sep 2022 00:36:50: Epoch [4/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:00: Epoch [4/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:10: Epoch [4/10], Step [5600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:37:19: Epoch [4/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:29: Epoch [4/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:39: Epoch [4/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:49: Epoch [4/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:37:59: Epoch [4/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:38:08: Epoch [4/10], Step [6800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:38:18: Epoch [4/10], Step [7000/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 00:38:28: Epoch [4/10], Step [7200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:38:38: Epoch [4/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:38:48: Epoch [4/10], Step [7600/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 00:38:57: Epoch [4/10], Step [7800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:39:07: Epoch [4/10], Step [8000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:39:16: Epoch [4/10], Step [8200/12534], Loss: 0.0063
|
||||
Thu, 15 Sep 2022 00:39:26: Epoch [4/10], Step [8400/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 00:39:36: Epoch [4/10], Step [8600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:39:45: Epoch [4/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:39:55: Epoch [4/10], Step [9000/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 00:40:05: Epoch [4/10], Step [9200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:40:15: Epoch [4/10], Step [9400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:40:24: Epoch [4/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:40:34: Epoch [4/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:40:44: Epoch [4/10], Step [10000/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 00:40:54: Epoch [4/10], Step [10200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:41:04: Epoch [4/10], Step [10400/12534], Loss: 0.0053
|
||||
Thu, 15 Sep 2022 00:41:13: Epoch [4/10], Step [10600/12534], Loss: 0.0053
|
||||
Thu, 15 Sep 2022 00:41:23: Epoch [4/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:41:33: Epoch [4/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:41:43: Epoch [4/10], Step [11200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:41:53: Epoch [4/10], Step [11400/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 00:42:03: Epoch [4/10], Step [11600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:42:12: Epoch [4/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:42:22: Epoch [4/10], Step [12000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:42:31: Epoch [4/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:42:41: Epoch [4/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:42:58: Epoch [5/10], Step [200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:43:07: Epoch [5/10], Step [400/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 00:43:17: Epoch [5/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:43:27: Epoch [5/10], Step [800/12534], Loss: 0.0042
|
||||
Thu, 15 Sep 2022 00:43:37: Epoch [5/10], Step [1000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:43:47: Epoch [5/10], Step [1200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:43:57: Epoch [5/10], Step [1400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:44:06: Epoch [5/10], Step [1600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:44:16: Epoch [5/10], Step [1800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:44:26: Epoch [5/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:44:36: Epoch [5/10], Step [2200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:44:46: Epoch [5/10], Step [2400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:44:56: Epoch [5/10], Step [2600/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:45:06: Epoch [5/10], Step [2800/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 00:45:15: Epoch [5/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:45:25: Epoch [5/10], Step [3200/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 00:45:35: Epoch [5/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:45:45: Epoch [5/10], Step [3600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:45:55: Epoch [5/10], Step [3800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:46:04: Epoch [5/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:46:14: Epoch [5/10], Step [4200/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 00:46:23: Epoch [5/10], Step [4400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 00:46:33: Epoch [5/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:46:43: Epoch [5/10], Step [4800/12534], Loss: 0.0199
|
||||
Thu, 15 Sep 2022 00:46:53: Epoch [5/10], Step [5000/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:47:03: Epoch [5/10], Step [5200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 00:47:13: Epoch [5/10], Step [5400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:47:23: Epoch [5/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:47:32: Epoch [5/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:47:42: Epoch [5/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:47:52: Epoch [5/10], Step [6200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:48:02: Epoch [5/10], Step [6400/12534], Loss: 0.0103
|
||||
Thu, 15 Sep 2022 00:48:12: Epoch [5/10], Step [6600/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 00:48:22: Epoch [5/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:48:31: Epoch [5/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:48:41: Epoch [5/10], Step [7200/12534], Loss: 0.0148
|
||||
Thu, 15 Sep 2022 00:48:51: Epoch [5/10], Step [7400/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:49:01: Epoch [5/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:49:11: Epoch [5/10], Step [7800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:49:20: Epoch [5/10], Step [8000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:49:30: Epoch [5/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:49:40: Epoch [5/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:49:50: Epoch [5/10], Step [8600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:50:00: Epoch [5/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:50:10: Epoch [5/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:50:20: Epoch [5/10], Step [9200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:50:29: Epoch [5/10], Step [9400/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 00:50:39: Epoch [5/10], Step [9600/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 00:50:49: Epoch [5/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:50:59: Epoch [5/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:51:09: Epoch [5/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:51:19: Epoch [5/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:51:29: Epoch [5/10], Step [10600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:51:39: Epoch [5/10], Step [10800/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:51:49: Epoch [5/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:51:58: Epoch [5/10], Step [11200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:52:08: Epoch [5/10], Step [11400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 00:52:18: Epoch [5/10], Step [11600/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 00:52:28: Epoch [5/10], Step [11800/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 00:52:38: Epoch [5/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:52:48: Epoch [5/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:52:57: Epoch [5/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:53:14: Epoch [6/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:53:23: Epoch [6/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:53:33: Epoch [6/10], Step [600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 00:53:43: Epoch [6/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:53:53: Epoch [6/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:54:03: Epoch [6/10], Step [1200/12534], Loss: 0.0317
|
||||
Thu, 15 Sep 2022 00:54:13: Epoch [6/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:54:23: Epoch [6/10], Step [1600/12534], Loss: 0.0245
|
||||
Thu, 15 Sep 2022 00:54:32: Epoch [6/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:54:42: Epoch [6/10], Step [2000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:54:52: Epoch [6/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:55:02: Epoch [6/10], Step [2400/12534], Loss: 0.0024
|
||||
Thu, 15 Sep 2022 00:55:12: Epoch [6/10], Step [2600/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 00:55:22: Epoch [6/10], Step [2800/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 00:55:32: Epoch [6/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:55:41: Epoch [6/10], Step [3200/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 00:55:52: Epoch [6/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:56:01: Epoch [6/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:56:11: Epoch [6/10], Step [3800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:56:21: Epoch [6/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:56:31: Epoch [6/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:56:41: Epoch [6/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:56:51: Epoch [6/10], Step [4600/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 00:57:01: Epoch [6/10], Step [4800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:57:10: Epoch [6/10], Step [5000/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 00:57:20: Epoch [6/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:57:30: Epoch [6/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:57:40: Epoch [6/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:57:50: Epoch [6/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:58:00: Epoch [6/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:58:10: Epoch [6/10], Step [6200/12534], Loss: 0.0138
|
||||
Thu, 15 Sep 2022 00:58:20: Epoch [6/10], Step [6400/12534], Loss: 0.0186
|
||||
Thu, 15 Sep 2022 00:58:30: Epoch [6/10], Step [6600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:58:39: Epoch [6/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:58:49: Epoch [6/10], Step [7000/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 00:58:59: Epoch [6/10], Step [7200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 00:59:09: Epoch [6/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:59:19: Epoch [6/10], Step [7600/12534], Loss: 0.0049
|
||||
Thu, 15 Sep 2022 00:59:29: Epoch [6/10], Step [7800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 00:59:39: Epoch [6/10], Step [8000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 00:59:48: Epoch [6/10], Step [8200/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 00:59:58: Epoch [6/10], Step [8400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:00:08: Epoch [6/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:00:18: Epoch [6/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:00:27: Epoch [6/10], Step [9000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 01:00:37: Epoch [6/10], Step [9200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:00:47: Epoch [6/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:00:57: Epoch [6/10], Step [9600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:01:07: Epoch [6/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:01:17: Epoch [6/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:01:26: Epoch [6/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:01:36: Epoch [6/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:01:46: Epoch [6/10], Step [10600/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 01:01:56: Epoch [6/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:02:06: Epoch [6/10], Step [11000/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 01:02:16: Epoch [6/10], Step [11200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:02:26: Epoch [6/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:02:35: Epoch [6/10], Step [11600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:02:45: Epoch [6/10], Step [11800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:02:55: Epoch [6/10], Step [12000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:03:05: Epoch [6/10], Step [12200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:03:15: Epoch [6/10], Step [12400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:03:32: Epoch [7/10], Step [200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:03:41: Epoch [7/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:03:51: Epoch [7/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:04:01: Epoch [7/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:04:11: Epoch [7/10], Step [1000/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 01:04:21: Epoch [7/10], Step [1200/12534], Loss: 0.0272
|
||||
Thu, 15 Sep 2022 01:04:31: Epoch [7/10], Step [1400/12534], Loss: 0.0355
|
||||
Thu, 15 Sep 2022 01:04:41: Epoch [7/10], Step [1600/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 01:04:50: Epoch [7/10], Step [1800/12534], Loss: 0.0181
|
||||
Thu, 15 Sep 2022 01:05:00: Epoch [7/10], Step [2000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:05:10: Epoch [7/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:05:20: Epoch [7/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:05:30: Epoch [7/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:05:40: Epoch [7/10], Step [2800/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 01:05:50: Epoch [7/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:05:59: Epoch [7/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:06:09: Epoch [7/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:06:19: Epoch [7/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:06:29: Epoch [7/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:06:39: Epoch [7/10], Step [4000/12534], Loss: 0.0098
|
||||
Thu, 15 Sep 2022 01:06:49: Epoch [7/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:06:59: Epoch [7/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:07:09: Epoch [7/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:07:19: Epoch [7/10], Step [4800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:07:28: Epoch [7/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:07:38: Epoch [7/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:07:48: Epoch [7/10], Step [5400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:07:58: Epoch [7/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:08:08: Epoch [7/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:08:18: Epoch [7/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:08:28: Epoch [7/10], Step [6200/12534], Loss: 0.0242
|
||||
Thu, 15 Sep 2022 01:08:37: Epoch [7/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:08:47: Epoch [7/10], Step [6600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:08:57: Epoch [7/10], Step [6800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:09:07: Epoch [7/10], Step [7000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:09:17: Epoch [7/10], Step [7200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:09:27: Epoch [7/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:09:37: Epoch [7/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:09:46: Epoch [7/10], Step [7800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:09:56: Epoch [7/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:10:06: Epoch [7/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:10:16: Epoch [7/10], Step [8400/12534], Loss: 0.0043
|
||||
Thu, 15 Sep 2022 01:10:26: Epoch [7/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:10:36: Epoch [7/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:10:46: Epoch [7/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:10:56: Epoch [7/10], Step [9200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:11:05: Epoch [7/10], Step [9400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:11:15: Epoch [7/10], Step [9600/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 01:11:25: Epoch [7/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:11:35: Epoch [7/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:11:45: Epoch [7/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:11:55: Epoch [7/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:12:05: Epoch [7/10], Step [10600/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 01:12:15: Epoch [7/10], Step [10800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:12:24: Epoch [7/10], Step [11000/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 01:12:34: Epoch [7/10], Step [11200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:12:44: Epoch [7/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:12:54: Epoch [7/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:13:04: Epoch [7/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:13:14: Epoch [7/10], Step [12000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:13:24: Epoch [7/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:13:33: Epoch [7/10], Step [12400/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 01:13:50: Epoch [8/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:14:00: Epoch [8/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:14:10: Epoch [8/10], Step [600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:14:20: Epoch [8/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:14:30: Epoch [8/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:14:39: Epoch [8/10], Step [1200/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 01:14:49: Epoch [8/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:14:59: Epoch [8/10], Step [1600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:15:09: Epoch [8/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:15:19: Epoch [8/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:15:29: Epoch [8/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:15:39: Epoch [8/10], Step [2400/12534], Loss: 0.0084
|
||||
Thu, 15 Sep 2022 01:15:49: Epoch [8/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:15:58: Epoch [8/10], Step [2800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 01:16:08: Epoch [8/10], Step [3000/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 01:16:18: Epoch [8/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:16:28: Epoch [8/10], Step [3400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:16:38: Epoch [8/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:16:48: Epoch [8/10], Step [3800/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 01:16:58: Epoch [8/10], Step [4000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:17:08: Epoch [8/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:17:18: Epoch [8/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:17:28: Epoch [8/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:17:38: Epoch [8/10], Step [4800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 01:17:48: Epoch [8/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:17:57: Epoch [8/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:18:07: Epoch [8/10], Step [5400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:18:17: Epoch [8/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:18:27: Epoch [8/10], Step [5800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:18:37: Epoch [8/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:18:47: Epoch [8/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:18:57: Epoch [8/10], Step [6400/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 01:19:07: Epoch [8/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:19:17: Epoch [8/10], Step [6800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:19:26: Epoch [8/10], Step [7000/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 01:19:36: Epoch [8/10], Step [7200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:19:46: Epoch [8/10], Step [7400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:19:56: Epoch [8/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:20:06: Epoch [8/10], Step [7800/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 01:20:16: Epoch [8/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:20:26: Epoch [8/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:20:36: Epoch [8/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:20:45: Epoch [8/10], Step [8600/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 01:20:55: Epoch [8/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:21:05: Epoch [8/10], Step [9000/12534], Loss: 0.0257
|
||||
Thu, 15 Sep 2022 01:21:15: Epoch [8/10], Step [9200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:21:25: Epoch [8/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:21:35: Epoch [8/10], Step [9600/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 01:21:44: Epoch [8/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:21:54: Epoch [8/10], Step [10000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:22:04: Epoch [8/10], Step [10200/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 01:22:14: Epoch [8/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:22:24: Epoch [8/10], Step [10600/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 01:22:33: Epoch [8/10], Step [10800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:22:43: Epoch [8/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:22:53: Epoch [8/10], Step [11200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:23:02: Epoch [8/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:23:12: Epoch [8/10], Step [11600/12534], Loss: 0.0166
|
||||
Thu, 15 Sep 2022 01:23:22: Epoch [8/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:23:32: Epoch [8/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:23:42: Epoch [8/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:23:52: Epoch [8/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:24:08: Epoch [9/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:24:18: Epoch [9/10], Step [400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:24:28: Epoch [9/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:24:38: Epoch [9/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:24:48: Epoch [9/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:24:58: Epoch [9/10], Step [1200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:25:07: Epoch [9/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:25:17: Epoch [9/10], Step [1600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:25:27: Epoch [9/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:25:37: Epoch [9/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:25:47: Epoch [9/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:25:57: Epoch [9/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:26:06: Epoch [9/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:26:16: Epoch [9/10], Step [2800/12534], Loss: 0.0202
|
||||
Thu, 15 Sep 2022 01:26:26: Epoch [9/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:26:36: Epoch [9/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:26:46: Epoch [9/10], Step [3400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 01:26:56: Epoch [9/10], Step [3600/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 01:27:06: Epoch [9/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:27:15: Epoch [9/10], Step [4000/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 01:27:25: Epoch [9/10], Step [4200/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 01:27:35: Epoch [9/10], Step [4400/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 01:27:45: Epoch [9/10], Step [4600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:27:55: Epoch [9/10], Step [4800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:28:05: Epoch [9/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:28:14: Epoch [9/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:28:24: Epoch [9/10], Step [5400/12534], Loss: 0.0155
|
||||
Thu, 15 Sep 2022 01:28:34: Epoch [9/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:28:44: Epoch [9/10], Step [5800/12534], Loss: 0.0024
|
||||
Thu, 15 Sep 2022 01:28:54: Epoch [9/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:29:04: Epoch [9/10], Step [6200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 01:29:14: Epoch [9/10], Step [6400/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 01:29:23: Epoch [9/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:29:33: Epoch [9/10], Step [6800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 01:29:43: Epoch [9/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:29:53: Epoch [9/10], Step [7200/12534], Loss: 0.0248
|
||||
Thu, 15 Sep 2022 01:30:03: Epoch [9/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:30:13: Epoch [9/10], Step [7600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:30:22: Epoch [9/10], Step [7800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:30:32: Epoch [9/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:30:42: Epoch [9/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:30:52: Epoch [9/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:31:02: Epoch [9/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:31:12: Epoch [9/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:31:22: Epoch [9/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:31:32: Epoch [9/10], Step [9200/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 01:31:41: Epoch [9/10], Step [9400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:31:51: Epoch [9/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:32:01: Epoch [9/10], Step [9800/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 01:32:11: Epoch [9/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:32:21: Epoch [9/10], Step [10200/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 01:32:31: Epoch [9/10], Step [10400/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 01:32:40: Epoch [9/10], Step [10600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:32:50: Epoch [9/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:33:00: Epoch [9/10], Step [11000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:33:10: Epoch [9/10], Step [11200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:33:20: Epoch [9/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:33:30: Epoch [9/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:33:40: Epoch [9/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:33:50: Epoch [9/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:34:00: Epoch [9/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:34:09: Epoch [9/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:34:26: Epoch [10/10], Step [200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:34:36: Epoch [10/10], Step [400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:34:46: Epoch [10/10], Step [600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:34:56: Epoch [10/10], Step [800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:35:06: Epoch [10/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:35:16: Epoch [10/10], Step [1200/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 01:35:25: Epoch [10/10], Step [1400/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 01:35:35: Epoch [10/10], Step [1600/12534], Loss: 0.0105
|
||||
Thu, 15 Sep 2022 01:35:45: Epoch [10/10], Step [1800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:35:55: Epoch [10/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:36:05: Epoch [10/10], Step [2200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:36:15: Epoch [10/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:36:25: Epoch [10/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:36:35: Epoch [10/10], Step [2800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:36:45: Epoch [10/10], Step [3000/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 01:36:55: Epoch [10/10], Step [3200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:37:04: Epoch [10/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:37:14: Epoch [10/10], Step [3600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:37:24: Epoch [10/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:37:34: Epoch [10/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:37:44: Epoch [10/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:37:54: Epoch [10/10], Step [4400/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 01:38:04: Epoch [10/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:38:14: Epoch [10/10], Step [4800/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 01:38:23: Epoch [10/10], Step [5000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:38:33: Epoch [10/10], Step [5200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:38:43: Epoch [10/10], Step [5400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:38:53: Epoch [10/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:39:03: Epoch [10/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:39:13: Epoch [10/10], Step [6000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:39:23: Epoch [10/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:39:33: Epoch [10/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:39:42: Epoch [10/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:39:52: Epoch [10/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:40:02: Epoch [10/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:40:12: Epoch [10/10], Step [7200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:40:22: Epoch [10/10], Step [7400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 01:40:32: Epoch [10/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:40:42: Epoch [10/10], Step [7800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:40:52: Epoch [10/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:01: Epoch [10/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:11: Epoch [10/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:21: Epoch [10/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:31: Epoch [10/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:41: Epoch [10/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:41:51: Epoch [10/10], Step [9200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:42:01: Epoch [10/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:42:11: Epoch [10/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:42:20: Epoch [10/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:42:30: Epoch [10/10], Step [10000/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 01:42:40: Epoch [10/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:42:50: Epoch [10/10], Step [10400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 01:43:00: Epoch [10/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:43:10: Epoch [10/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:43:20: Epoch [10/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:43:30: Epoch [10/10], Step [11200/12534], Loss: 0.0186
|
||||
Thu, 15 Sep 2022 01:43:40: Epoch [10/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:43:49: Epoch [10/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:43:59: Epoch [10/10], Step [11800/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 01:44:09: Epoch [10/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:44:19: Epoch [10/10], Step [12200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 01:44:29: Epoch [10/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 01:44:35: start testing on test dataset
|
||||
Thu, 15 Sep 2022 01:48:06:
|
||||
f1:0.9980171759740383
|
||||
Thu, 15 Sep 2022 01:48:07:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9993 0.9968 0.9980 156687
|
||||
1.0 0.9968 0.9993 0.9980 156652
|
||||
|
||||
accuracy 0.9980 313339
|
||||
macro avg 0.9980 0.9980 0.9980 313339
|
||||
weighted avg 0.9980 0.9980 0.9980 313339
|
||||
|
||||
Thu, 15 Sep 2022 01:48:07:
|
||||
[[156181 506]
|
||||
[ 116 156536]]
|
||||
654
代码/sequenceShield/新小论文数据/ss-gru-cicdos2017-1layer.log
Normal file
654
代码/sequenceShield/新小论文数据/ss-gru-cicdos2017-1layer.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Wed, 14 Sep 2022 17:36:27: -------------
|
||||
Wed, 14 Sep 2022 17:36:27: cuda is_available:True
|
||||
Wed, 14 Sep 2022 17:36:27: model parameters - num_layers:1, sequence_len:40
|
||||
Wed, 14 Sep 2022 17:36:27: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 17:36:27: reading csv file
|
||||
Wed, 14 Sep 2022 17:36:28: csv file alread loaded
|
||||
Wed, 14 Sep 2022 17:36:38: procols num: 31
|
||||
Wed, 14 Sep 2022 17:36:38: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Wed, 14 Sep 2022 17:37:54: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Wed, 14 Sep 2022 17:37:55: loader already prepared
|
||||
Wed, 14 Sep 2022 17:37:56: loader中(0:normal,1:high,2:low):Counter({0: 16130, 2: 10467, 1: 5622})
|
||||
Wed, 14 Sep 2022 17:37:57: start training
|
||||
Wed, 14 Sep 2022 17:37:57: Epoch [1/25], Step [50/1289], Loss: 0.4817
|
||||
Wed, 14 Sep 2022 17:37:57: Epoch [1/25], Step [100/1289], Loss: 0.3683
|
||||
Wed, 14 Sep 2022 17:37:58: Epoch [1/25], Step [150/1289], Loss: 0.3459
|
||||
Wed, 14 Sep 2022 17:37:58: Epoch [1/25], Step [200/1289], Loss: 0.4197
|
||||
Wed, 14 Sep 2022 17:37:58: Epoch [1/25], Step [250/1289], Loss: 0.3442
|
||||
Wed, 14 Sep 2022 17:37:58: Epoch [1/25], Step [300/1289], Loss: 0.3981
|
||||
Wed, 14 Sep 2022 17:37:58: Epoch [1/25], Step [350/1289], Loss: 0.3517
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [400/1289], Loss: 0.2562
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [450/1289], Loss: 0.2009
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [500/1289], Loss: 0.2935
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [550/1289], Loss: 0.1985
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [600/1289], Loss: 0.2804
|
||||
Wed, 14 Sep 2022 17:37:59: Epoch [1/25], Step [650/1289], Loss: 0.2324
|
||||
Wed, 14 Sep 2022 17:38:00: Epoch [1/25], Step [700/1289], Loss: 0.1571
|
||||
Wed, 14 Sep 2022 17:38:00: Epoch [1/25], Step [750/1289], Loss: 0.2556
|
||||
Wed, 14 Sep 2022 17:38:00: Epoch [1/25], Step [800/1289], Loss: 0.1024
|
||||
Wed, 14 Sep 2022 17:38:00: Epoch [1/25], Step [850/1289], Loss: 0.2717
|
||||
Wed, 14 Sep 2022 17:38:00: Epoch [1/25], Step [900/1289], Loss: 0.1500
|
||||
Wed, 14 Sep 2022 17:38:01: Epoch [1/25], Step [950/1289], Loss: 0.2620
|
||||
Wed, 14 Sep 2022 17:38:01: Epoch [1/25], Step [1000/1289], Loss: 0.1625
|
||||
Wed, 14 Sep 2022 17:38:01: Epoch [1/25], Step [1050/1289], Loss: 0.2860
|
||||
Wed, 14 Sep 2022 17:38:01: Epoch [1/25], Step [1100/1289], Loss: 0.1839
|
||||
Wed, 14 Sep 2022 17:38:01: Epoch [1/25], Step [1150/1289], Loss: 0.1770
|
||||
Wed, 14 Sep 2022 17:38:02: Epoch [1/25], Step [1200/1289], Loss: 0.1603
|
||||
Wed, 14 Sep 2022 17:38:02: Epoch [1/25], Step [1250/1289], Loss: 0.1094
|
||||
Wed, 14 Sep 2022 17:38:02: Epoch [2/25], Step [50/1289], Loss: 0.1230
|
||||
Wed, 14 Sep 2022 17:38:02: Epoch [2/25], Step [100/1289], Loss: 0.1291
|
||||
Wed, 14 Sep 2022 17:38:02: Epoch [2/25], Step [150/1289], Loss: 0.2175
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [200/1289], Loss: 0.1382
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [250/1289], Loss: 0.2038
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [300/1289], Loss: 0.2281
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [350/1289], Loss: 0.0946
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [400/1289], Loss: 0.0997
|
||||
Wed, 14 Sep 2022 17:38:03: Epoch [2/25], Step [450/1289], Loss: 0.0882
|
||||
Wed, 14 Sep 2022 17:38:04: Epoch [2/25], Step [500/1289], Loss: 0.2078
|
||||
Wed, 14 Sep 2022 17:38:04: Epoch [2/25], Step [550/1289], Loss: 0.1052
|
||||
Wed, 14 Sep 2022 17:38:04: Epoch [2/25], Step [600/1289], Loss: 0.1354
|
||||
Wed, 14 Sep 2022 17:38:04: Epoch [2/25], Step [650/1289], Loss: 0.1457
|
||||
Wed, 14 Sep 2022 17:38:04: Epoch [2/25], Step [700/1289], Loss: 0.1837
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [750/1289], Loss: 0.1149
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [800/1289], Loss: 0.1255
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [850/1289], Loss: 0.2033
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [900/1289], Loss: 0.1154
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [950/1289], Loss: 0.1463
|
||||
Wed, 14 Sep 2022 17:38:05: Epoch [2/25], Step [1000/1289], Loss: 0.1683
|
||||
Wed, 14 Sep 2022 17:38:06: Epoch [2/25], Step [1050/1289], Loss: 0.1846
|
||||
Wed, 14 Sep 2022 17:38:06: Epoch [2/25], Step [1100/1289], Loss: 0.1863
|
||||
Wed, 14 Sep 2022 17:38:06: Epoch [2/25], Step [1150/1289], Loss: 0.0714
|
||||
Wed, 14 Sep 2022 17:38:06: Epoch [2/25], Step [1200/1289], Loss: 0.1182
|
||||
Wed, 14 Sep 2022 17:38:06: Epoch [2/25], Step [1250/1289], Loss: 0.1903
|
||||
Wed, 14 Sep 2022 17:38:07: Epoch [3/25], Step [50/1289], Loss: 0.1390
|
||||
Wed, 14 Sep 2022 17:38:07: Epoch [3/25], Step [100/1289], Loss: 0.0730
|
||||
Wed, 14 Sep 2022 17:38:07: Epoch [3/25], Step [150/1289], Loss: 0.1800
|
||||
Wed, 14 Sep 2022 17:38:07: Epoch [3/25], Step [200/1289], Loss: 0.1804
|
||||
Wed, 14 Sep 2022 17:38:07: Epoch [3/25], Step [250/1289], Loss: 0.1266
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [300/1289], Loss: 0.1013
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [350/1289], Loss: 0.0890
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [400/1289], Loss: 0.1258
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [450/1289], Loss: 0.2022
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [500/1289], Loss: 0.0924
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [550/1289], Loss: 0.1528
|
||||
Wed, 14 Sep 2022 17:38:08: Epoch [3/25], Step [600/1289], Loss: 0.2118
|
||||
Wed, 14 Sep 2022 17:38:09: Epoch [3/25], Step [650/1289], Loss: 0.2370
|
||||
Wed, 14 Sep 2022 17:38:09: Epoch [3/25], Step [700/1289], Loss: 0.1002
|
||||
Wed, 14 Sep 2022 17:38:09: Epoch [3/25], Step [750/1289], Loss: 0.2110
|
||||
Wed, 14 Sep 2022 17:38:09: Epoch [3/25], Step [800/1289], Loss: 0.1304
|
||||
Wed, 14 Sep 2022 17:38:09: Epoch [3/25], Step [850/1289], Loss: 0.0858
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [900/1289], Loss: 0.0941
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [950/1289], Loss: 0.1367
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [1000/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [1050/1289], Loss: 0.0963
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [1100/1289], Loss: 0.1466
|
||||
Wed, 14 Sep 2022 17:38:10: Epoch [3/25], Step [1150/1289], Loss: 0.1142
|
||||
Wed, 14 Sep 2022 17:38:11: Epoch [3/25], Step [1200/1289], Loss: 0.1339
|
||||
Wed, 14 Sep 2022 17:38:11: Epoch [3/25], Step [1250/1289], Loss: 0.1366
|
||||
Wed, 14 Sep 2022 17:38:11: Epoch [4/25], Step [50/1289], Loss: 0.0795
|
||||
Wed, 14 Sep 2022 17:38:11: Epoch [4/25], Step [100/1289], Loss: 0.0730
|
||||
Wed, 14 Sep 2022 17:38:11: Epoch [4/25], Step [150/1289], Loss: 0.1253
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [200/1289], Loss: 0.1387
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [250/1289], Loss: 0.1049
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [300/1289], Loss: 0.1724
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [350/1289], Loss: 0.1378
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [400/1289], Loss: 0.1277
|
||||
Wed, 14 Sep 2022 17:38:12: Epoch [4/25], Step [450/1289], Loss: 0.1229
|
||||
Wed, 14 Sep 2022 17:38:13: Epoch [4/25], Step [500/1289], Loss: 0.0945
|
||||
Wed, 14 Sep 2022 17:38:13: Epoch [4/25], Step [550/1289], Loss: 0.1313
|
||||
Wed, 14 Sep 2022 17:38:13: Epoch [4/25], Step [600/1289], Loss: 0.0870
|
||||
Wed, 14 Sep 2022 17:38:13: Epoch [4/25], Step [650/1289], Loss: 0.1212
|
||||
Wed, 14 Sep 2022 17:38:13: Epoch [4/25], Step [700/1289], Loss: 0.0818
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [750/1289], Loss: 0.0805
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [800/1289], Loss: 0.1541
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [850/1289], Loss: 0.2427
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [900/1289], Loss: 0.1051
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [950/1289], Loss: 0.0561
|
||||
Wed, 14 Sep 2022 17:38:14: Epoch [4/25], Step [1000/1289], Loss: 0.0273
|
||||
Wed, 14 Sep 2022 17:38:15: Epoch [4/25], Step [1050/1289], Loss: 0.1042
|
||||
Wed, 14 Sep 2022 17:38:15: Epoch [4/25], Step [1100/1289], Loss: 0.1233
|
||||
Wed, 14 Sep 2022 17:38:15: Epoch [4/25], Step [1150/1289], Loss: 0.1548
|
||||
Wed, 14 Sep 2022 17:38:15: Epoch [4/25], Step [1200/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 17:38:15: Epoch [4/25], Step [1250/1289], Loss: 0.0667
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [50/1289], Loss: 0.0976
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [100/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [150/1289], Loss: 0.1097
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [200/1289], Loss: 0.1158
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [250/1289], Loss: 0.1924
|
||||
Wed, 14 Sep 2022 17:38:16: Epoch [5/25], Step [300/1289], Loss: 0.0441
|
||||
Wed, 14 Sep 2022 17:38:17: Epoch [5/25], Step [350/1289], Loss: 0.0569
|
||||
Wed, 14 Sep 2022 17:38:17: Epoch [5/25], Step [400/1289], Loss: 0.0198
|
||||
Wed, 14 Sep 2022 17:38:17: Epoch [5/25], Step [450/1289], Loss: 0.1085
|
||||
Wed, 14 Sep 2022 17:38:17: Epoch [5/25], Step [500/1289], Loss: 0.0937
|
||||
Wed, 14 Sep 2022 17:38:17: Epoch [5/25], Step [550/1289], Loss: 0.0964
|
||||
Wed, 14 Sep 2022 17:38:18: Epoch [5/25], Step [600/1289], Loss: 0.0616
|
||||
Wed, 14 Sep 2022 17:38:18: Epoch [5/25], Step [650/1289], Loss: 0.1949
|
||||
Wed, 14 Sep 2022 17:38:18: Epoch [5/25], Step [700/1289], Loss: 0.0834
|
||||
Wed, 14 Sep 2022 17:38:18: Epoch [5/25], Step [750/1289], Loss: 0.0346
|
||||
Wed, 14 Sep 2022 17:38:18: Epoch [5/25], Step [800/1289], Loss: 0.1896
|
||||
Wed, 14 Sep 2022 17:38:19: Epoch [5/25], Step [850/1289], Loss: 0.0477
|
||||
Wed, 14 Sep 2022 17:38:19: Epoch [5/25], Step [900/1289], Loss: 0.1292
|
||||
Wed, 14 Sep 2022 17:38:19: Epoch [5/25], Step [950/1289], Loss: 0.1078
|
||||
Wed, 14 Sep 2022 17:38:19: Epoch [5/25], Step [1000/1289], Loss: 0.1185
|
||||
Wed, 14 Sep 2022 17:38:19: Epoch [5/25], Step [1050/1289], Loss: 0.0729
|
||||
Wed, 14 Sep 2022 17:38:20: Epoch [5/25], Step [1100/1289], Loss: 0.0800
|
||||
Wed, 14 Sep 2022 17:38:20: Epoch [5/25], Step [1150/1289], Loss: 0.0667
|
||||
Wed, 14 Sep 2022 17:38:20: Epoch [5/25], Step [1200/1289], Loss: 0.1354
|
||||
Wed, 14 Sep 2022 17:38:20: Epoch [5/25], Step [1250/1289], Loss: 0.0557
|
||||
Wed, 14 Sep 2022 17:38:20: Epoch [6/25], Step [50/1289], Loss: 0.0889
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [100/1289], Loss: 0.1202
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [150/1289], Loss: 0.0719
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [200/1289], Loss: 0.1990
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [250/1289], Loss: 0.0654
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [300/1289], Loss: 0.1139
|
||||
Wed, 14 Sep 2022 17:38:21: Epoch [6/25], Step [350/1289], Loss: 0.0871
|
||||
Wed, 14 Sep 2022 17:38:22: Epoch [6/25], Step [400/1289], Loss: 0.1610
|
||||
Wed, 14 Sep 2022 17:38:22: Epoch [6/25], Step [450/1289], Loss: 0.0924
|
||||
Wed, 14 Sep 2022 17:38:22: Epoch [6/25], Step [500/1289], Loss: 0.0915
|
||||
Wed, 14 Sep 2022 17:38:22: Epoch [6/25], Step [550/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 17:38:22: Epoch [6/25], Step [600/1289], Loss: 0.1238
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [650/1289], Loss: 0.0957
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [700/1289], Loss: 0.0533
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [750/1289], Loss: 0.0719
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [800/1289], Loss: 0.1911
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [850/1289], Loss: 0.1115
|
||||
Wed, 14 Sep 2022 17:38:23: Epoch [6/25], Step [900/1289], Loss: 0.1159
|
||||
Wed, 14 Sep 2022 17:38:24: Epoch [6/25], Step [950/1289], Loss: 0.1306
|
||||
Wed, 14 Sep 2022 17:38:24: Epoch [6/25], Step [1000/1289], Loss: 0.1390
|
||||
Wed, 14 Sep 2022 17:38:24: Epoch [6/25], Step [1050/1289], Loss: 0.1274
|
||||
Wed, 14 Sep 2022 17:38:24: Epoch [6/25], Step [1100/1289], Loss: 0.1271
|
||||
Wed, 14 Sep 2022 17:38:24: Epoch [6/25], Step [1150/1289], Loss: 0.1110
|
||||
Wed, 14 Sep 2022 17:38:25: Epoch [6/25], Step [1200/1289], Loss: 0.0770
|
||||
Wed, 14 Sep 2022 17:38:25: Epoch [6/25], Step [1250/1289], Loss: 0.1127
|
||||
Wed, 14 Sep 2022 17:38:25: Epoch [7/25], Step [50/1289], Loss: 0.0361
|
||||
Wed, 14 Sep 2022 17:38:25: Epoch [7/25], Step [100/1289], Loss: 0.0503
|
||||
Wed, 14 Sep 2022 17:38:25: Epoch [7/25], Step [150/1289], Loss: 0.0309
|
||||
Wed, 14 Sep 2022 17:38:26: Epoch [7/25], Step [200/1289], Loss: 0.0596
|
||||
Wed, 14 Sep 2022 17:38:26: Epoch [7/25], Step [250/1289], Loss: 0.0334
|
||||
Wed, 14 Sep 2022 17:38:26: Epoch [7/25], Step [300/1289], Loss: 0.1998
|
||||
Wed, 14 Sep 2022 17:38:26: Epoch [7/25], Step [350/1289], Loss: 0.0510
|
||||
Wed, 14 Sep 2022 17:38:26: Epoch [7/25], Step [400/1289], Loss: 0.0606
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [450/1289], Loss: 0.1063
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [500/1289], Loss: 0.0731
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [550/1289], Loss: 0.0936
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [600/1289], Loss: 0.0745
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [650/1289], Loss: 0.0993
|
||||
Wed, 14 Sep 2022 17:38:27: Epoch [7/25], Step [700/1289], Loss: 0.1022
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [750/1289], Loss: 0.0909
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [800/1289], Loss: 0.1067
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [850/1289], Loss: 0.0722
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [900/1289], Loss: 0.0754
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [950/1289], Loss: 0.0567
|
||||
Wed, 14 Sep 2022 17:38:28: Epoch [7/25], Step [1000/1289], Loss: 0.0457
|
||||
Wed, 14 Sep 2022 17:38:29: Epoch [7/25], Step [1050/1289], Loss: 0.0980
|
||||
Wed, 14 Sep 2022 17:38:29: Epoch [7/25], Step [1100/1289], Loss: 0.0815
|
||||
Wed, 14 Sep 2022 17:38:29: Epoch [7/25], Step [1150/1289], Loss: 0.0547
|
||||
Wed, 14 Sep 2022 17:38:29: Epoch [7/25], Step [1200/1289], Loss: 0.1110
|
||||
Wed, 14 Sep 2022 17:38:29: Epoch [7/25], Step [1250/1289], Loss: 0.1513
|
||||
Wed, 14 Sep 2022 17:38:30: Epoch [8/25], Step [50/1289], Loss: 0.1689
|
||||
Wed, 14 Sep 2022 17:38:30: Epoch [8/25], Step [100/1289], Loss: 0.0678
|
||||
Wed, 14 Sep 2022 17:38:30: Epoch [8/25], Step [150/1289], Loss: 0.1135
|
||||
Wed, 14 Sep 2022 17:38:30: Epoch [8/25], Step [200/1289], Loss: 0.0870
|
||||
Wed, 14 Sep 2022 17:38:30: Epoch [8/25], Step [250/1289], Loss: 0.0861
|
||||
Wed, 14 Sep 2022 17:38:31: Epoch [8/25], Step [300/1289], Loss: 0.0655
|
||||
Wed, 14 Sep 2022 17:38:31: Epoch [8/25], Step [350/1289], Loss: 0.1014
|
||||
Wed, 14 Sep 2022 17:38:31: Epoch [8/25], Step [400/1289], Loss: 0.2085
|
||||
Wed, 14 Sep 2022 17:38:31: Epoch [8/25], Step [450/1289], Loss: 0.0364
|
||||
Wed, 14 Sep 2022 17:38:31: Epoch [8/25], Step [500/1289], Loss: 0.1175
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [550/1289], Loss: 0.0522
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [600/1289], Loss: 0.0638
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [650/1289], Loss: 0.1067
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [700/1289], Loss: 0.0296
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [750/1289], Loss: 0.0622
|
||||
Wed, 14 Sep 2022 17:38:32: Epoch [8/25], Step [800/1289], Loss: 0.0535
|
||||
Wed, 14 Sep 2022 17:38:33: Epoch [8/25], Step [850/1289], Loss: 0.0742
|
||||
Wed, 14 Sep 2022 17:38:33: Epoch [8/25], Step [900/1289], Loss: 0.0792
|
||||
Wed, 14 Sep 2022 17:38:33: Epoch [8/25], Step [950/1289], Loss: 0.0547
|
||||
Wed, 14 Sep 2022 17:38:33: Epoch [8/25], Step [1000/1289], Loss: 0.0967
|
||||
Wed, 14 Sep 2022 17:38:33: Epoch [8/25], Step [1050/1289], Loss: 0.1418
|
||||
Wed, 14 Sep 2022 17:38:34: Epoch [8/25], Step [1100/1289], Loss: 0.0852
|
||||
Wed, 14 Sep 2022 17:38:34: Epoch [8/25], Step [1150/1289], Loss: 0.0638
|
||||
Wed, 14 Sep 2022 17:38:34: Epoch [8/25], Step [1200/1289], Loss: 0.0807
|
||||
Wed, 14 Sep 2022 17:38:34: Epoch [8/25], Step [1250/1289], Loss: 0.1084
|
||||
Wed, 14 Sep 2022 17:38:34: Epoch [9/25], Step [50/1289], Loss: 0.0857
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [100/1289], Loss: 0.1020
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [150/1289], Loss: 0.0165
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [200/1289], Loss: 0.0651
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [250/1289], Loss: 0.0722
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [300/1289], Loss: 0.1173
|
||||
Wed, 14 Sep 2022 17:38:35: Epoch [9/25], Step [350/1289], Loss: 0.0973
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [400/1289], Loss: 0.0654
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [450/1289], Loss: 0.0860
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [500/1289], Loss: 0.0757
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [550/1289], Loss: 0.1483
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [600/1289], Loss: 0.0716
|
||||
Wed, 14 Sep 2022 17:38:36: Epoch [9/25], Step [650/1289], Loss: 0.0429
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [700/1289], Loss: 0.0194
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [750/1289], Loss: 0.0609
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [800/1289], Loss: 0.0740
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [850/1289], Loss: 0.0507
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [900/1289], Loss: 0.0617
|
||||
Wed, 14 Sep 2022 17:38:37: Epoch [9/25], Step [950/1289], Loss: 0.0425
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1000/1289], Loss: 0.0660
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1050/1289], Loss: 0.0901
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1100/1289], Loss: 0.0565
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1150/1289], Loss: 0.0695
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1200/1289], Loss: 0.0608
|
||||
Wed, 14 Sep 2022 17:38:38: Epoch [9/25], Step [1250/1289], Loss: 0.0916
|
||||
Wed, 14 Sep 2022 17:38:39: Epoch [10/25], Step [50/1289], Loss: 0.2767
|
||||
Wed, 14 Sep 2022 17:38:39: Epoch [10/25], Step [100/1289], Loss: 0.1635
|
||||
Wed, 14 Sep 2022 17:38:39: Epoch [10/25], Step [150/1289], Loss: 0.0804
|
||||
Wed, 14 Sep 2022 17:38:39: Epoch [10/25], Step [200/1289], Loss: 0.1452
|
||||
Wed, 14 Sep 2022 17:38:39: Epoch [10/25], Step [250/1289], Loss: 0.0670
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [300/1289], Loss: 0.0729
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [350/1289], Loss: 0.0557
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [400/1289], Loss: 0.0532
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [450/1289], Loss: 0.0439
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [500/1289], Loss: 0.1120
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [550/1289], Loss: 0.1064
|
||||
Wed, 14 Sep 2022 17:38:40: Epoch [10/25], Step [600/1289], Loss: 0.0499
|
||||
Wed, 14 Sep 2022 17:38:41: Epoch [10/25], Step [650/1289], Loss: 0.0552
|
||||
Wed, 14 Sep 2022 17:38:41: Epoch [10/25], Step [700/1289], Loss: 0.0524
|
||||
Wed, 14 Sep 2022 17:38:41: Epoch [10/25], Step [750/1289], Loss: 0.0508
|
||||
Wed, 14 Sep 2022 17:38:41: Epoch [10/25], Step [800/1289], Loss: 0.0915
|
||||
Wed, 14 Sep 2022 17:38:41: Epoch [10/25], Step [850/1289], Loss: 0.1343
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [900/1289], Loss: 0.0397
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [950/1289], Loss: 0.1507
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [1000/1289], Loss: 0.1189
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [1050/1289], Loss: 0.0919
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [1100/1289], Loss: 0.0374
|
||||
Wed, 14 Sep 2022 17:38:42: Epoch [10/25], Step [1150/1289], Loss: 0.0872
|
||||
Wed, 14 Sep 2022 17:38:43: Epoch [10/25], Step [1200/1289], Loss: 0.0376
|
||||
Wed, 14 Sep 2022 17:38:43: Epoch [10/25], Step [1250/1289], Loss: 0.1715
|
||||
Wed, 14 Sep 2022 17:38:43: Epoch [11/25], Step [50/1289], Loss: 0.0727
|
||||
Wed, 14 Sep 2022 17:38:43: Epoch [11/25], Step [100/1289], Loss: 0.0270
|
||||
Wed, 14 Sep 2022 17:38:43: Epoch [11/25], Step [150/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [200/1289], Loss: 0.0786
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [250/1289], Loss: 0.1262
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [300/1289], Loss: 0.0298
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [350/1289], Loss: 0.0906
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [400/1289], Loss: 0.0236
|
||||
Wed, 14 Sep 2022 17:38:44: Epoch [11/25], Step [450/1289], Loss: 0.0378
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [500/1289], Loss: 0.0573
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [550/1289], Loss: 0.0213
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [600/1289], Loss: 0.0416
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [650/1289], Loss: 0.0853
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [700/1289], Loss: 0.0441
|
||||
Wed, 14 Sep 2022 17:38:45: Epoch [11/25], Step [750/1289], Loss: 0.0528
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [800/1289], Loss: 0.0316
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [850/1289], Loss: 0.1402
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [900/1289], Loss: 0.0577
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [950/1289], Loss: 0.0611
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [1000/1289], Loss: 0.1442
|
||||
Wed, 14 Sep 2022 17:38:46: Epoch [11/25], Step [1050/1289], Loss: 0.0870
|
||||
Wed, 14 Sep 2022 17:38:47: Epoch [11/25], Step [1100/1289], Loss: 0.1071
|
||||
Wed, 14 Sep 2022 17:38:47: Epoch [11/25], Step [1150/1289], Loss: 0.1344
|
||||
Wed, 14 Sep 2022 17:38:47: Epoch [11/25], Step [1200/1289], Loss: 0.1190
|
||||
Wed, 14 Sep 2022 17:38:47: Epoch [11/25], Step [1250/1289], Loss: 0.1349
|
||||
Wed, 14 Sep 2022 17:38:47: Epoch [12/25], Step [50/1289], Loss: 0.0768
|
||||
Wed, 14 Sep 2022 17:38:48: Epoch [12/25], Step [100/1289], Loss: 0.1782
|
||||
Wed, 14 Sep 2022 17:38:48: Epoch [12/25], Step [150/1289], Loss: 0.0294
|
||||
Wed, 14 Sep 2022 17:38:48: Epoch [12/25], Step [200/1289], Loss: 0.0210
|
||||
Wed, 14 Sep 2022 17:38:48: Epoch [12/25], Step [250/1289], Loss: 0.1335
|
||||
Wed, 14 Sep 2022 17:38:48: Epoch [12/25], Step [300/1289], Loss: 0.0290
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [350/1289], Loss: 0.0524
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [400/1289], Loss: 0.1045
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [450/1289], Loss: 0.0461
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [500/1289], Loss: 0.0762
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [550/1289], Loss: 0.0446
|
||||
Wed, 14 Sep 2022 17:38:49: Epoch [12/25], Step [600/1289], Loss: 0.0498
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [650/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [700/1289], Loss: 0.1032
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [750/1289], Loss: 0.0343
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [800/1289], Loss: 0.1037
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [850/1289], Loss: 0.0907
|
||||
Wed, 14 Sep 2022 17:38:50: Epoch [12/25], Step [900/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [950/1289], Loss: 0.0254
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [1000/1289], Loss: 0.1054
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [1050/1289], Loss: 0.0741
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [1100/1289], Loss: 0.0730
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [1150/1289], Loss: 0.0752
|
||||
Wed, 14 Sep 2022 17:38:51: Epoch [12/25], Step [1200/1289], Loss: 0.0837
|
||||
Wed, 14 Sep 2022 17:38:52: Epoch [12/25], Step [1250/1289], Loss: 0.0677
|
||||
Wed, 14 Sep 2022 17:38:52: Epoch [13/25], Step [50/1289], Loss: 0.0192
|
||||
Wed, 14 Sep 2022 17:38:52: Epoch [13/25], Step [100/1289], Loss: 0.0735
|
||||
Wed, 14 Sep 2022 17:38:52: Epoch [13/25], Step [150/1289], Loss: 0.0889
|
||||
Wed, 14 Sep 2022 17:38:52: Epoch [13/25], Step [200/1289], Loss: 0.0510
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [250/1289], Loss: 0.0381
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [300/1289], Loss: 0.2369
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [350/1289], Loss: 0.0335
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [400/1289], Loss: 0.0836
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [450/1289], Loss: 0.0282
|
||||
Wed, 14 Sep 2022 17:38:53: Epoch [13/25], Step [500/1289], Loss: 0.0350
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [550/1289], Loss: 0.0845
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [600/1289], Loss: 0.0317
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [650/1289], Loss: 0.0762
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [700/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [750/1289], Loss: 0.0655
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [800/1289], Loss: 0.0102
|
||||
Wed, 14 Sep 2022 17:38:54: Epoch [13/25], Step [850/1289], Loss: 0.0471
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [900/1289], Loss: 0.0253
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [950/1289], Loss: 0.0202
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [1000/1289], Loss: 0.0238
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [1050/1289], Loss: 0.0803
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [1100/1289], Loss: 0.0527
|
||||
Wed, 14 Sep 2022 17:38:55: Epoch [13/25], Step [1150/1289], Loss: 0.0603
|
||||
Wed, 14 Sep 2022 17:38:56: Epoch [13/25], Step [1200/1289], Loss: 0.0367
|
||||
Wed, 14 Sep 2022 17:38:56: Epoch [13/25], Step [1250/1289], Loss: 0.0460
|
||||
Wed, 14 Sep 2022 17:38:56: Epoch [14/25], Step [50/1289], Loss: 0.1108
|
||||
Wed, 14 Sep 2022 17:38:56: Epoch [14/25], Step [100/1289], Loss: 0.0276
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [150/1289], Loss: 0.0713
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [200/1289], Loss: 0.1121
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [250/1289], Loss: 0.1324
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [300/1289], Loss: 0.0844
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [350/1289], Loss: 0.0412
|
||||
Wed, 14 Sep 2022 17:38:57: Epoch [14/25], Step [400/1289], Loss: 0.0852
|
||||
Wed, 14 Sep 2022 17:38:58: Epoch [14/25], Step [450/1289], Loss: 0.0843
|
||||
Wed, 14 Sep 2022 17:38:58: Epoch [14/25], Step [500/1289], Loss: 0.0715
|
||||
Wed, 14 Sep 2022 17:38:58: Epoch [14/25], Step [550/1289], Loss: 0.0913
|
||||
Wed, 14 Sep 2022 17:38:58: Epoch [14/25], Step [600/1289], Loss: 0.1096
|
||||
Wed, 14 Sep 2022 17:38:58: Epoch [14/25], Step [650/1289], Loss: 0.0428
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [700/1289], Loss: 0.0547
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [750/1289], Loss: 0.0349
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [800/1289], Loss: 0.0332
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [850/1289], Loss: 0.1750
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [900/1289], Loss: 0.0424
|
||||
Wed, 14 Sep 2022 17:38:59: Epoch [14/25], Step [950/1289], Loss: 0.0666
|
||||
Wed, 14 Sep 2022 17:39:00: Epoch [14/25], Step [1000/1289], Loss: 0.1483
|
||||
Wed, 14 Sep 2022 17:39:00: Epoch [14/25], Step [1050/1289], Loss: 0.1058
|
||||
Wed, 14 Sep 2022 17:39:00: Epoch [14/25], Step [1100/1289], Loss: 0.0748
|
||||
Wed, 14 Sep 2022 17:39:00: Epoch [14/25], Step [1150/1289], Loss: 0.0778
|
||||
Wed, 14 Sep 2022 17:39:00: Epoch [14/25], Step [1200/1289], Loss: 0.0392
|
||||
Wed, 14 Sep 2022 17:39:01: Epoch [14/25], Step [1250/1289], Loss: 0.0748
|
||||
Wed, 14 Sep 2022 17:39:01: Epoch [15/25], Step [50/1289], Loss: 0.1403
|
||||
Wed, 14 Sep 2022 17:39:01: Epoch [15/25], Step [100/1289], Loss: 0.0966
|
||||
Wed, 14 Sep 2022 17:39:01: Epoch [15/25], Step [150/1289], Loss: 0.1375
|
||||
Wed, 14 Sep 2022 17:39:01: Epoch [15/25], Step [200/1289], Loss: 0.0136
|
||||
Wed, 14 Sep 2022 17:39:02: Epoch [15/25], Step [250/1289], Loss: 0.0538
|
||||
Wed, 14 Sep 2022 17:39:02: Epoch [15/25], Step [300/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 17:39:02: Epoch [15/25], Step [350/1289], Loss: 0.0695
|
||||
Wed, 14 Sep 2022 17:39:02: Epoch [15/25], Step [400/1289], Loss: 0.0615
|
||||
Wed, 14 Sep 2022 17:39:02: Epoch [15/25], Step [450/1289], Loss: 0.0847
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [500/1289], Loss: 0.0869
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [550/1289], Loss: 0.1098
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [600/1289], Loss: 0.0580
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [650/1289], Loss: 0.1136
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [700/1289], Loss: 0.1085
|
||||
Wed, 14 Sep 2022 17:39:03: Epoch [15/25], Step [750/1289], Loss: 0.0897
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [800/1289], Loss: 0.0582
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [850/1289], Loss: 0.0561
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [900/1289], Loss: 0.1122
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [950/1289], Loss: 0.0070
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [1000/1289], Loss: 0.0922
|
||||
Wed, 14 Sep 2022 17:39:04: Epoch [15/25], Step [1050/1289], Loss: 0.1603
|
||||
Wed, 14 Sep 2022 17:39:05: Epoch [15/25], Step [1100/1289], Loss: 0.0623
|
||||
Wed, 14 Sep 2022 17:39:05: Epoch [15/25], Step [1150/1289], Loss: 0.0267
|
||||
Wed, 14 Sep 2022 17:39:05: Epoch [15/25], Step [1200/1289], Loss: 0.0242
|
||||
Wed, 14 Sep 2022 17:39:05: Epoch [15/25], Step [1250/1289], Loss: 0.0671
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [50/1289], Loss: 0.0852
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [100/1289], Loss: 0.0602
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [150/1289], Loss: 0.0840
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [200/1289], Loss: 0.0739
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [250/1289], Loss: 0.0656
|
||||
Wed, 14 Sep 2022 17:39:06: Epoch [16/25], Step [300/1289], Loss: 0.0215
|
||||
Wed, 14 Sep 2022 17:39:07: Epoch [16/25], Step [350/1289], Loss: 0.0359
|
||||
Wed, 14 Sep 2022 17:39:07: Epoch [16/25], Step [400/1289], Loss: 0.0519
|
||||
Wed, 14 Sep 2022 17:39:07: Epoch [16/25], Step [450/1289], Loss: 0.0418
|
||||
Wed, 14 Sep 2022 17:39:08: Epoch [16/25], Step [500/1289], Loss: 0.1371
|
||||
Wed, 14 Sep 2022 17:39:08: Epoch [16/25], Step [550/1289], Loss: 0.0921
|
||||
Wed, 14 Sep 2022 17:39:08: Epoch [16/25], Step [600/1289], Loss: 0.0489
|
||||
Wed, 14 Sep 2022 17:39:08: Epoch [16/25], Step [650/1289], Loss: 0.0833
|
||||
Wed, 14 Sep 2022 17:39:09: Epoch [16/25], Step [700/1289], Loss: 0.0094
|
||||
Wed, 14 Sep 2022 17:39:09: Epoch [16/25], Step [750/1289], Loss: 0.0170
|
||||
Wed, 14 Sep 2022 17:39:09: Epoch [16/25], Step [800/1289], Loss: 0.0188
|
||||
Wed, 14 Sep 2022 17:39:09: Epoch [16/25], Step [850/1289], Loss: 0.0482
|
||||
Wed, 14 Sep 2022 17:39:09: Epoch [16/25], Step [900/1289], Loss: 0.1059
|
||||
Wed, 14 Sep 2022 17:39:10: Epoch [16/25], Step [950/1289], Loss: 0.0854
|
||||
Wed, 14 Sep 2022 17:39:10: Epoch [16/25], Step [1000/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 17:39:10: Epoch [16/25], Step [1050/1289], Loss: 0.0482
|
||||
Wed, 14 Sep 2022 17:39:10: Epoch [16/25], Step [1100/1289], Loss: 0.0680
|
||||
Wed, 14 Sep 2022 17:39:10: Epoch [16/25], Step [1150/1289], Loss: 0.0389
|
||||
Wed, 14 Sep 2022 17:39:11: Epoch [16/25], Step [1200/1289], Loss: 0.0990
|
||||
Wed, 14 Sep 2022 17:39:11: Epoch [16/25], Step [1250/1289], Loss: 0.1647
|
||||
Wed, 14 Sep 2022 17:39:11: Epoch [17/25], Step [50/1289], Loss: 0.0227
|
||||
Wed, 14 Sep 2022 17:39:11: Epoch [17/25], Step [100/1289], Loss: 0.0297
|
||||
Wed, 14 Sep 2022 17:39:11: Epoch [17/25], Step [150/1289], Loss: 0.0578
|
||||
Wed, 14 Sep 2022 17:39:12: Epoch [17/25], Step [200/1289], Loss: 0.0489
|
||||
Wed, 14 Sep 2022 17:39:12: Epoch [17/25], Step [250/1289], Loss: 0.0205
|
||||
Wed, 14 Sep 2022 17:39:12: Epoch [17/25], Step [300/1289], Loss: 0.0811
|
||||
Wed, 14 Sep 2022 17:39:13: Epoch [17/25], Step [350/1289], Loss: 0.0490
|
||||
Wed, 14 Sep 2022 17:39:13: Epoch [17/25], Step [400/1289], Loss: 0.0700
|
||||
Wed, 14 Sep 2022 17:39:14: Epoch [17/25], Step [450/1289], Loss: 0.0490
|
||||
Wed, 14 Sep 2022 17:39:14: Epoch [17/25], Step [500/1289], Loss: 0.1474
|
||||
Wed, 14 Sep 2022 17:39:14: Epoch [17/25], Step [550/1289], Loss: 0.0355
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [600/1289], Loss: 0.0512
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [650/1289], Loss: 0.0135
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [700/1289], Loss: 0.0688
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [750/1289], Loss: 0.0983
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [800/1289], Loss: 0.0171
|
||||
Wed, 14 Sep 2022 17:39:15: Epoch [17/25], Step [850/1289], Loss: 0.0176
|
||||
Wed, 14 Sep 2022 17:39:16: Epoch [17/25], Step [900/1289], Loss: 0.0248
|
||||
Wed, 14 Sep 2022 17:39:16: Epoch [17/25], Step [950/1289], Loss: 0.0954
|
||||
Wed, 14 Sep 2022 17:39:16: Epoch [17/25], Step [1000/1289], Loss: 0.0778
|
||||
Wed, 14 Sep 2022 17:39:16: Epoch [17/25], Step [1050/1289], Loss: 0.1180
|
||||
Wed, 14 Sep 2022 17:39:16: Epoch [17/25], Step [1100/1289], Loss: 0.0159
|
||||
Wed, 14 Sep 2022 17:39:17: Epoch [17/25], Step [1150/1289], Loss: 0.0517
|
||||
Wed, 14 Sep 2022 17:39:17: Epoch [17/25], Step [1200/1289], Loss: 0.0323
|
||||
Wed, 14 Sep 2022 17:39:17: Epoch [17/25], Step [1250/1289], Loss: 0.0525
|
||||
Wed, 14 Sep 2022 17:39:17: Epoch [18/25], Step [50/1289], Loss: 0.0330
|
||||
Wed, 14 Sep 2022 17:39:17: Epoch [18/25], Step [100/1289], Loss: 0.0143
|
||||
Wed, 14 Sep 2022 17:39:18: Epoch [18/25], Step [150/1289], Loss: 0.0344
|
||||
Wed, 14 Sep 2022 17:39:18: Epoch [18/25], Step [200/1289], Loss: 0.0218
|
||||
Wed, 14 Sep 2022 17:39:18: Epoch [18/25], Step [250/1289], Loss: 0.0538
|
||||
Wed, 14 Sep 2022 17:39:18: Epoch [18/25], Step [300/1289], Loss: 0.0988
|
||||
Wed, 14 Sep 2022 17:39:18: Epoch [18/25], Step [350/1289], Loss: 0.0170
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [400/1289], Loss: 0.0548
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [450/1289], Loss: 0.0556
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [500/1289], Loss: 0.0794
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [550/1289], Loss: 0.0587
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [600/1289], Loss: 0.0698
|
||||
Wed, 14 Sep 2022 17:39:19: Epoch [18/25], Step [650/1289], Loss: 0.0785
|
||||
Wed, 14 Sep 2022 17:39:20: Epoch [18/25], Step [700/1289], Loss: 0.0154
|
||||
Wed, 14 Sep 2022 17:39:20: Epoch [18/25], Step [750/1289], Loss: 0.0388
|
||||
Wed, 14 Sep 2022 17:39:20: Epoch [18/25], Step [800/1289], Loss: 0.0559
|
||||
Wed, 14 Sep 2022 17:39:21: Epoch [18/25], Step [850/1289], Loss: 0.0193
|
||||
Wed, 14 Sep 2022 17:39:21: Epoch [18/25], Step [900/1289], Loss: 0.1016
|
||||
Wed, 14 Sep 2022 17:39:21: Epoch [18/25], Step [950/1289], Loss: 0.1313
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1000/1289], Loss: 0.0531
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1050/1289], Loss: 0.0566
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1100/1289], Loss: 0.0281
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1150/1289], Loss: 0.0427
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1200/1289], Loss: 0.0475
|
||||
Wed, 14 Sep 2022 17:39:22: Epoch [18/25], Step [1250/1289], Loss: 0.0392
|
||||
Wed, 14 Sep 2022 17:39:23: Epoch [19/25], Step [50/1289], Loss: 0.0581
|
||||
Wed, 14 Sep 2022 17:39:23: Epoch [19/25], Step [100/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 17:39:23: Epoch [19/25], Step [150/1289], Loss: 0.0308
|
||||
Wed, 14 Sep 2022 17:39:23: Epoch [19/25], Step [200/1289], Loss: 0.0227
|
||||
Wed, 14 Sep 2022 17:39:24: Epoch [19/25], Step [250/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 17:39:24: Epoch [19/25], Step [300/1289], Loss: 0.0446
|
||||
Wed, 14 Sep 2022 17:39:24: Epoch [19/25], Step [350/1289], Loss: 0.0665
|
||||
Wed, 14 Sep 2022 17:39:24: Epoch [19/25], Step [400/1289], Loss: 0.0430
|
||||
Wed, 14 Sep 2022 17:39:24: Epoch [19/25], Step [450/1289], Loss: 0.0069
|
||||
Wed, 14 Sep 2022 17:39:25: Epoch [19/25], Step [500/1289], Loss: 0.0803
|
||||
Wed, 14 Sep 2022 17:39:25: Epoch [19/25], Step [550/1289], Loss: 0.0723
|
||||
Wed, 14 Sep 2022 17:39:25: Epoch [19/25], Step [600/1289], Loss: 0.0181
|
||||
Wed, 14 Sep 2022 17:39:25: Epoch [19/25], Step [650/1289], Loss: 0.0717
|
||||
Wed, 14 Sep 2022 17:39:25: Epoch [19/25], Step [700/1289], Loss: 0.0640
|
||||
Wed, 14 Sep 2022 17:39:26: Epoch [19/25], Step [750/1289], Loss: 0.0384
|
||||
Wed, 14 Sep 2022 17:39:26: Epoch [19/25], Step [800/1289], Loss: 0.0274
|
||||
Wed, 14 Sep 2022 17:39:26: Epoch [19/25], Step [850/1289], Loss: 0.0593
|
||||
Wed, 14 Sep 2022 17:39:27: Epoch [19/25], Step [900/1289], Loss: 0.0804
|
||||
Wed, 14 Sep 2022 17:39:27: Epoch [19/25], Step [950/1289], Loss: 0.0368
|
||||
Wed, 14 Sep 2022 17:39:27: Epoch [19/25], Step [1000/1289], Loss: 0.0334
|
||||
Wed, 14 Sep 2022 17:39:27: Epoch [19/25], Step [1050/1289], Loss: 0.1263
|
||||
Wed, 14 Sep 2022 17:39:28: Epoch [19/25], Step [1100/1289], Loss: 0.1166
|
||||
Wed, 14 Sep 2022 17:39:28: Epoch [19/25], Step [1150/1289], Loss: 0.0531
|
||||
Wed, 14 Sep 2022 17:39:28: Epoch [19/25], Step [1200/1289], Loss: 0.0265
|
||||
Wed, 14 Sep 2022 17:39:28: Epoch [19/25], Step [1250/1289], Loss: 0.0486
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [50/1289], Loss: 0.1474
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [100/1289], Loss: 0.0588
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [150/1289], Loss: 0.0656
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [200/1289], Loss: 0.0334
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [250/1289], Loss: 0.0132
|
||||
Wed, 14 Sep 2022 17:39:29: Epoch [20/25], Step [300/1289], Loss: 0.0224
|
||||
Wed, 14 Sep 2022 17:39:30: Epoch [20/25], Step [350/1289], Loss: 0.0109
|
||||
Wed, 14 Sep 2022 17:39:30: Epoch [20/25], Step [400/1289], Loss: 0.0304
|
||||
Wed, 14 Sep 2022 17:39:30: Epoch [20/25], Step [450/1289], Loss: 0.0693
|
||||
Wed, 14 Sep 2022 17:39:30: Epoch [20/25], Step [500/1289], Loss: 0.0288
|
||||
Wed, 14 Sep 2022 17:39:30: Epoch [20/25], Step [550/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 17:39:31: Epoch [20/25], Step [600/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 17:39:31: Epoch [20/25], Step [650/1289], Loss: 0.0443
|
||||
Wed, 14 Sep 2022 17:39:31: Epoch [20/25], Step [700/1289], Loss: 0.0765
|
||||
Wed, 14 Sep 2022 17:39:31: Epoch [20/25], Step [750/1289], Loss: 0.0941
|
||||
Wed, 14 Sep 2022 17:39:31: Epoch [20/25], Step [800/1289], Loss: 0.0778
|
||||
Wed, 14 Sep 2022 17:39:32: Epoch [20/25], Step [850/1289], Loss: 0.1023
|
||||
Wed, 14 Sep 2022 17:39:32: Epoch [20/25], Step [900/1289], Loss: 0.1010
|
||||
Wed, 14 Sep 2022 17:39:32: Epoch [20/25], Step [950/1289], Loss: 0.0823
|
||||
Wed, 14 Sep 2022 17:39:32: Epoch [20/25], Step [1000/1289], Loss: 0.0905
|
||||
Wed, 14 Sep 2022 17:39:32: Epoch [20/25], Step [1050/1289], Loss: 0.0187
|
||||
Wed, 14 Sep 2022 17:39:33: Epoch [20/25], Step [1100/1289], Loss: 0.0091
|
||||
Wed, 14 Sep 2022 17:39:33: Epoch [20/25], Step [1150/1289], Loss: 0.0255
|
||||
Wed, 14 Sep 2022 17:39:33: Epoch [20/25], Step [1200/1289], Loss: 0.0354
|
||||
Wed, 14 Sep 2022 17:39:33: Epoch [20/25], Step [1250/1289], Loss: 0.0752
|
||||
Wed, 14 Sep 2022 17:39:34: Epoch [21/25], Step [50/1289], Loss: 0.1516
|
||||
Wed, 14 Sep 2022 17:39:34: Epoch [21/25], Step [100/1289], Loss: 0.0858
|
||||
Wed, 14 Sep 2022 17:39:34: Epoch [21/25], Step [150/1289], Loss: 0.0977
|
||||
Wed, 14 Sep 2022 17:39:34: Epoch [21/25], Step [200/1289], Loss: 0.0178
|
||||
Wed, 14 Sep 2022 17:39:34: Epoch [21/25], Step [250/1289], Loss: 0.0644
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [300/1289], Loss: 0.0070
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [350/1289], Loss: 0.0687
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [400/1289], Loss: 0.0793
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [450/1289], Loss: 0.0522
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [500/1289], Loss: 0.0910
|
||||
Wed, 14 Sep 2022 17:39:35: Epoch [21/25], Step [550/1289], Loss: 0.0278
|
||||
Wed, 14 Sep 2022 17:39:36: Epoch [21/25], Step [600/1289], Loss: 0.0686
|
||||
Wed, 14 Sep 2022 17:39:36: Epoch [21/25], Step [650/1289], Loss: 0.0643
|
||||
Wed, 14 Sep 2022 17:39:36: Epoch [21/25], Step [700/1289], Loss: 0.0386
|
||||
Wed, 14 Sep 2022 17:39:36: Epoch [21/25], Step [750/1289], Loss: 0.0445
|
||||
Wed, 14 Sep 2022 17:39:36: Epoch [21/25], Step [800/1289], Loss: 0.0083
|
||||
Wed, 14 Sep 2022 17:39:37: Epoch [21/25], Step [850/1289], Loss: 0.0157
|
||||
Wed, 14 Sep 2022 17:39:37: Epoch [21/25], Step [900/1289], Loss: 0.0380
|
||||
Wed, 14 Sep 2022 17:39:37: Epoch [21/25], Step [950/1289], Loss: 0.0217
|
||||
Wed, 14 Sep 2022 17:39:37: Epoch [21/25], Step [1000/1289], Loss: 0.0508
|
||||
Wed, 14 Sep 2022 17:39:37: Epoch [21/25], Step [1050/1289], Loss: 0.1166
|
||||
Wed, 14 Sep 2022 17:39:38: Epoch [21/25], Step [1100/1289], Loss: 0.1054
|
||||
Wed, 14 Sep 2022 17:39:38: Epoch [21/25], Step [1150/1289], Loss: 0.0083
|
||||
Wed, 14 Sep 2022 17:39:38: Epoch [21/25], Step [1200/1289], Loss: 0.0155
|
||||
Wed, 14 Sep 2022 17:39:38: Epoch [21/25], Step [1250/1289], Loss: 0.0213
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [50/1289], Loss: 0.0388
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [100/1289], Loss: 0.0490
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [150/1289], Loss: 0.0262
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [200/1289], Loss: 0.0666
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [250/1289], Loss: 0.0869
|
||||
Wed, 14 Sep 2022 17:39:39: Epoch [22/25], Step [300/1289], Loss: 0.1228
|
||||
Wed, 14 Sep 2022 17:39:40: Epoch [22/25], Step [350/1289], Loss: 0.0187
|
||||
Wed, 14 Sep 2022 17:39:40: Epoch [22/25], Step [400/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 17:39:40: Epoch [22/25], Step [450/1289], Loss: 0.0409
|
||||
Wed, 14 Sep 2022 17:39:40: Epoch [22/25], Step [500/1289], Loss: 0.0585
|
||||
Wed, 14 Sep 2022 17:39:40: Epoch [22/25], Step [550/1289], Loss: 0.0483
|
||||
Wed, 14 Sep 2022 17:39:41: Epoch [22/25], Step [600/1289], Loss: 0.1391
|
||||
Wed, 14 Sep 2022 17:39:41: Epoch [22/25], Step [650/1289], Loss: 0.0334
|
||||
Wed, 14 Sep 2022 17:39:41: Epoch [22/25], Step [700/1289], Loss: 0.1048
|
||||
Wed, 14 Sep 2022 17:39:41: Epoch [22/25], Step [750/1289], Loss: 0.0996
|
||||
Wed, 14 Sep 2022 17:39:41: Epoch [22/25], Step [800/1289], Loss: 0.0523
|
||||
Wed, 14 Sep 2022 17:39:42: Epoch [22/25], Step [850/1289], Loss: 0.0461
|
||||
Wed, 14 Sep 2022 17:39:42: Epoch [22/25], Step [900/1289], Loss: 0.0446
|
||||
Wed, 14 Sep 2022 17:39:42: Epoch [22/25], Step [950/1289], Loss: 0.0552
|
||||
Wed, 14 Sep 2022 17:39:42: Epoch [22/25], Step [1000/1289], Loss: 0.0449
|
||||
Wed, 14 Sep 2022 17:39:42: Epoch [22/25], Step [1050/1289], Loss: 0.1441
|
||||
Wed, 14 Sep 2022 17:39:43: Epoch [22/25], Step [1100/1289], Loss: 0.0568
|
||||
Wed, 14 Sep 2022 17:39:43: Epoch [22/25], Step [1150/1289], Loss: 0.0146
|
||||
Wed, 14 Sep 2022 17:39:43: Epoch [22/25], Step [1200/1289], Loss: 0.0271
|
||||
Wed, 14 Sep 2022 17:39:43: Epoch [22/25], Step [1250/1289], Loss: 0.0257
|
||||
Wed, 14 Sep 2022 17:39:43: Epoch [23/25], Step [50/1289], Loss: 0.0784
|
||||
Wed, 14 Sep 2022 17:39:44: Epoch [23/25], Step [100/1289], Loss: 0.0538
|
||||
Wed, 14 Sep 2022 17:39:44: Epoch [23/25], Step [150/1289], Loss: 0.0376
|
||||
Wed, 14 Sep 2022 17:39:44: Epoch [23/25], Step [200/1289], Loss: 0.1076
|
||||
Wed, 14 Sep 2022 17:39:44: Epoch [23/25], Step [250/1289], Loss: 0.0674
|
||||
Wed, 14 Sep 2022 17:39:44: Epoch [23/25], Step [300/1289], Loss: 0.0383
|
||||
Wed, 14 Sep 2022 17:39:45: Epoch [23/25], Step [350/1289], Loss: 0.0416
|
||||
Wed, 14 Sep 2022 17:39:45: Epoch [23/25], Step [400/1289], Loss: 0.0381
|
||||
Wed, 14 Sep 2022 17:39:45: Epoch [23/25], Step [450/1289], Loss: 0.0339
|
||||
Wed, 14 Sep 2022 17:39:45: Epoch [23/25], Step [500/1289], Loss: 0.0337
|
||||
Wed, 14 Sep 2022 17:39:45: Epoch [23/25], Step [550/1289], Loss: 0.0417
|
||||
Wed, 14 Sep 2022 17:39:46: Epoch [23/25], Step [600/1289], Loss: 0.0140
|
||||
Wed, 14 Sep 2022 17:39:46: Epoch [23/25], Step [650/1289], Loss: 0.0303
|
||||
Wed, 14 Sep 2022 17:39:46: Epoch [23/25], Step [700/1289], Loss: 0.0476
|
||||
Wed, 14 Sep 2022 17:39:46: Epoch [23/25], Step [750/1289], Loss: 0.0302
|
||||
Wed, 14 Sep 2022 17:39:46: Epoch [23/25], Step [800/1289], Loss: 0.0441
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [850/1289], Loss: 0.0304
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [900/1289], Loss: 0.0280
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [950/1289], Loss: 0.0720
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [1000/1289], Loss: 0.0084
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [1050/1289], Loss: 0.0313
|
||||
Wed, 14 Sep 2022 17:39:47: Epoch [23/25], Step [1100/1289], Loss: 0.0350
|
||||
Wed, 14 Sep 2022 17:39:48: Epoch [23/25], Step [1150/1289], Loss: 0.0802
|
||||
Wed, 14 Sep 2022 17:39:48: Epoch [23/25], Step [1200/1289], Loss: 0.0117
|
||||
Wed, 14 Sep 2022 17:39:48: Epoch [23/25], Step [1250/1289], Loss: 0.0683
|
||||
Wed, 14 Sep 2022 17:39:48: Epoch [24/25], Step [50/1289], Loss: 0.0951
|
||||
Wed, 14 Sep 2022 17:39:48: Epoch [24/25], Step [100/1289], Loss: 0.0728
|
||||
Wed, 14 Sep 2022 17:39:49: Epoch [24/25], Step [150/1289], Loss: 0.0172
|
||||
Wed, 14 Sep 2022 17:39:49: Epoch [24/25], Step [200/1289], Loss: 0.0366
|
||||
Wed, 14 Sep 2022 17:39:49: Epoch [24/25], Step [250/1289], Loss: 0.0086
|
||||
Wed, 14 Sep 2022 17:39:49: Epoch [24/25], Step [300/1289], Loss: 0.0095
|
||||
Wed, 14 Sep 2022 17:39:49: Epoch [24/25], Step [350/1289], Loss: 0.0435
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [400/1289], Loss: 0.0384
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [450/1289], Loss: 0.0149
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [500/1289], Loss: 0.0200
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [550/1289], Loss: 0.0197
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [600/1289], Loss: 0.0286
|
||||
Wed, 14 Sep 2022 17:39:50: Epoch [24/25], Step [650/1289], Loss: 0.0423
|
||||
Wed, 14 Sep 2022 17:39:51: Epoch [24/25], Step [700/1289], Loss: 0.0932
|
||||
Wed, 14 Sep 2022 17:39:51: Epoch [24/25], Step [750/1289], Loss: 0.0449
|
||||
Wed, 14 Sep 2022 17:39:51: Epoch [24/25], Step [800/1289], Loss: 0.0173
|
||||
Wed, 14 Sep 2022 17:39:51: Epoch [24/25], Step [850/1289], Loss: 0.0447
|
||||
Wed, 14 Sep 2022 17:39:51: Epoch [24/25], Step [900/1289], Loss: 0.0322
|
||||
Wed, 14 Sep 2022 17:39:52: Epoch [24/25], Step [950/1289], Loss: 0.0215
|
||||
Wed, 14 Sep 2022 17:39:52: Epoch [24/25], Step [1000/1289], Loss: 0.0470
|
||||
Wed, 14 Sep 2022 17:39:52: Epoch [24/25], Step [1050/1289], Loss: 0.0598
|
||||
Wed, 14 Sep 2022 17:39:52: Epoch [24/25], Step [1100/1289], Loss: 0.0225
|
||||
Wed, 14 Sep 2022 17:39:52: Epoch [24/25], Step [1150/1289], Loss: 0.0382
|
||||
Wed, 14 Sep 2022 17:39:53: Epoch [24/25], Step [1200/1289], Loss: 0.1700
|
||||
Wed, 14 Sep 2022 17:39:53: Epoch [24/25], Step [1250/1289], Loss: 0.0495
|
||||
Wed, 14 Sep 2022 17:39:53: Epoch [25/25], Step [50/1289], Loss: 0.1137
|
||||
Wed, 14 Sep 2022 17:39:53: Epoch [25/25], Step [100/1289], Loss: 0.0146
|
||||
Wed, 14 Sep 2022 17:39:53: Epoch [25/25], Step [150/1289], Loss: 0.0246
|
||||
Wed, 14 Sep 2022 17:39:54: Epoch [25/25], Step [200/1289], Loss: 0.0108
|
||||
Wed, 14 Sep 2022 17:39:54: Epoch [25/25], Step [250/1289], Loss: 0.0376
|
||||
Wed, 14 Sep 2022 17:39:54: Epoch [25/25], Step [300/1289], Loss: 0.0764
|
||||
Wed, 14 Sep 2022 17:39:54: Epoch [25/25], Step [350/1289], Loss: 0.0291
|
||||
Wed, 14 Sep 2022 17:39:54: Epoch [25/25], Step [400/1289], Loss: 0.0296
|
||||
Wed, 14 Sep 2022 17:39:55: Epoch [25/25], Step [450/1289], Loss: 0.0495
|
||||
Wed, 14 Sep 2022 17:39:55: Epoch [25/25], Step [500/1289], Loss: 0.0418
|
||||
Wed, 14 Sep 2022 17:39:55: Epoch [25/25], Step [550/1289], Loss: 0.0614
|
||||
Wed, 14 Sep 2022 17:39:55: Epoch [25/25], Step [600/1289], Loss: 0.0133
|
||||
Wed, 14 Sep 2022 17:39:55: Epoch [25/25], Step [650/1289], Loss: 0.0351
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [700/1289], Loss: 0.0354
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [750/1289], Loss: 0.0518
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [800/1289], Loss: 0.0681
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [850/1289], Loss: 0.0264
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [900/1289], Loss: 0.0171
|
||||
Wed, 14 Sep 2022 17:39:56: Epoch [25/25], Step [950/1289], Loss: 0.0640
|
||||
Wed, 14 Sep 2022 17:39:57: Epoch [25/25], Step [1000/1289], Loss: 0.0274
|
||||
Wed, 14 Sep 2022 17:39:57: Epoch [25/25], Step [1050/1289], Loss: 0.0157
|
||||
Wed, 14 Sep 2022 17:39:57: Epoch [25/25], Step [1100/1289], Loss: 0.0437
|
||||
Wed, 14 Sep 2022 17:39:57: Epoch [25/25], Step [1150/1289], Loss: 0.0341
|
||||
Wed, 14 Sep 2022 17:39:57: Epoch [25/25], Step [1200/1289], Loss: 0.0525
|
||||
Wed, 14 Sep 2022 17:39:58: Epoch [25/25], Step [1250/1289], Loss: 0.0339
|
||||
Wed, 14 Sep 2022 17:39:58: start testing on test dataset
|
||||
Wed, 14 Sep 2022 17:39:59: f1 :0.9686898943717484
|
||||
Wed, 14 Sep 2022 17:39:59:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9539 0.9860 0.9697 16091
|
||||
1 0.9855 0.9524 0.9687 16128
|
||||
|
||||
accuracy 0.9692 32219
|
||||
macro avg 0.9697 0.9692 0.9692 32219
|
||||
weighted avg 0.9697 0.9692 0.9692 32219
|
||||
|
||||
Wed, 14 Sep 2022 17:39:59:
|
||||
[[15865 226]
|
||||
[ 767 15361]]
|
||||
Wed, 14 Sep 2022 17:39:59: high_num,high_true,high_false:5657,5329,328
|
||||
Wed, 14 Sep 2022 17:39:59: low_num,low_true,low_false:10471,10032,439
|
||||
647
代码/sequenceShield/新小论文数据/ss-lstm-cicddos2019.log
Normal file
647
代码/sequenceShield/新小论文数据/ss-lstm-cicddos2019.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Thu, 15 Sep 2022 03:49:01: -------------
|
||||
Thu, 15 Sep 2022 03:49:01: cuda is_available:True
|
||||
Thu, 15 Sep 2022 03:49:01: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Thu, 15 Sep 2022 03:49:01: get protocols:
|
||||
Thu, 15 Sep 2022 03:49:01: reading csv file: all.csv
|
||||
Thu, 15 Sep 2022 03:50:41: procols num: 484
|
||||
Thu, 15 Sep 2022 03:50:41: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Thu, 15 Sep 2022 03:50:42: preprocessing file ./cicddos2019/label/all.csv
|
||||
Thu, 15 Sep 2022 03:51:34: before sampling number_1:1546004
|
||||
Thu, 15 Sep 2022 03:51:34: before sampling number_0:20691
|
||||
Thu, 15 Sep 2022 04:15:09: start training ./cicddos2019/label/all.csv
|
||||
Thu, 15 Sep 2022 04:15:19: Epoch [1/10], Step [200/12534], Loss: 0.1628
|
||||
Thu, 15 Sep 2022 04:15:30: Epoch [1/10], Step [400/12534], Loss: 0.1413
|
||||
Thu, 15 Sep 2022 04:15:40: Epoch [1/10], Step [600/12534], Loss: 0.0205
|
||||
Thu, 15 Sep 2022 04:15:50: Epoch [1/10], Step [800/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 04:16:00: Epoch [1/10], Step [1000/12534], Loss: 0.0578
|
||||
Thu, 15 Sep 2022 04:16:11: Epoch [1/10], Step [1200/12534], Loss: 0.0868
|
||||
Thu, 15 Sep 2022 04:16:21: Epoch [1/10], Step [1400/12534], Loss: 0.0044
|
||||
Thu, 15 Sep 2022 04:16:31: Epoch [1/10], Step [1600/12534], Loss: 0.0060
|
||||
Thu, 15 Sep 2022 04:16:41: Epoch [1/10], Step [1800/12534], Loss: 0.0870
|
||||
Thu, 15 Sep 2022 04:16:51: Epoch [1/10], Step [2000/12534], Loss: 0.0587
|
||||
Thu, 15 Sep 2022 04:17:02: Epoch [1/10], Step [2200/12534], Loss: 0.0043
|
||||
Thu, 15 Sep 2022 04:17:12: Epoch [1/10], Step [2400/12534], Loss: 0.0180
|
||||
Thu, 15 Sep 2022 04:17:22: Epoch [1/10], Step [2600/12534], Loss: 0.0342
|
||||
Thu, 15 Sep 2022 04:17:32: Epoch [1/10], Step [2800/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 04:17:43: Epoch [1/10], Step [3000/12534], Loss: 0.0105
|
||||
Thu, 15 Sep 2022 04:17:53: Epoch [1/10], Step [3200/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 04:18:03: Epoch [1/10], Step [3400/12534], Loss: 0.0657
|
||||
Thu, 15 Sep 2022 04:18:13: Epoch [1/10], Step [3600/12534], Loss: 0.0331
|
||||
Thu, 15 Sep 2022 04:18:23: Epoch [1/10], Step [3800/12534], Loss: 0.0535
|
||||
Thu, 15 Sep 2022 04:18:34: Epoch [1/10], Step [4000/12534], Loss: 0.0087
|
||||
Thu, 15 Sep 2022 04:18:44: Epoch [1/10], Step [4200/12534], Loss: 0.0077
|
||||
Thu, 15 Sep 2022 04:18:54: Epoch [1/10], Step [4400/12534], Loss: 0.0737
|
||||
Thu, 15 Sep 2022 04:19:04: Epoch [1/10], Step [4600/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:19:15: Epoch [1/10], Step [4800/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 04:19:25: Epoch [1/10], Step [5000/12534], Loss: 0.0131
|
||||
Thu, 15 Sep 2022 04:19:35: Epoch [1/10], Step [5200/12534], Loss: 0.0041
|
||||
Thu, 15 Sep 2022 04:19:45: Epoch [1/10], Step [5400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 04:19:56: Epoch [1/10], Step [5600/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:20:06: Epoch [1/10], Step [5800/12534], Loss: 0.0149
|
||||
Thu, 15 Sep 2022 04:20:17: Epoch [1/10], Step [6000/12534], Loss: 0.0067
|
||||
Thu, 15 Sep 2022 04:20:29: Epoch [1/10], Step [6200/12534], Loss: 0.0053
|
||||
Thu, 15 Sep 2022 04:20:41: Epoch [1/10], Step [6400/12534], Loss: 0.0615
|
||||
Thu, 15 Sep 2022 04:20:52: Epoch [1/10], Step [6600/12534], Loss: 0.0383
|
||||
Thu, 15 Sep 2022 04:21:03: Epoch [1/10], Step [6800/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 04:21:13: Epoch [1/10], Step [7000/12534], Loss: 0.0328
|
||||
Thu, 15 Sep 2022 04:21:24: Epoch [1/10], Step [7200/12534], Loss: 0.0616
|
||||
Thu, 15 Sep 2022 04:21:34: Epoch [1/10], Step [7400/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 04:21:44: Epoch [1/10], Step [7600/12534], Loss: 0.0024
|
||||
Thu, 15 Sep 2022 04:21:54: Epoch [1/10], Step [7800/12534], Loss: 0.0124
|
||||
Thu, 15 Sep 2022 04:22:04: Epoch [1/10], Step [8000/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 04:22:14: Epoch [1/10], Step [8200/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 04:22:25: Epoch [1/10], Step [8400/12534], Loss: 0.0245
|
||||
Thu, 15 Sep 2022 04:22:35: Epoch [1/10], Step [8600/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:22:45: Epoch [1/10], Step [8800/12534], Loss: 0.0076
|
||||
Thu, 15 Sep 2022 04:22:55: Epoch [1/10], Step [9000/12534], Loss: 0.0459
|
||||
Thu, 15 Sep 2022 04:23:05: Epoch [1/10], Step [9200/12534], Loss: 0.0209
|
||||
Thu, 15 Sep 2022 04:23:16: Epoch [1/10], Step [9400/12534], Loss: 0.0104
|
||||
Thu, 15 Sep 2022 04:23:26: Epoch [1/10], Step [9600/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 04:23:37: Epoch [1/10], Step [9800/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:23:47: Epoch [1/10], Step [10000/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 04:23:57: Epoch [1/10], Step [10200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 04:24:07: Epoch [1/10], Step [10400/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:24:17: Epoch [1/10], Step [10600/12534], Loss: 0.0259
|
||||
Thu, 15 Sep 2022 04:24:28: Epoch [1/10], Step [10800/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 04:24:38: Epoch [1/10], Step [11000/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 04:24:48: Epoch [1/10], Step [11200/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 04:24:58: Epoch [1/10], Step [11400/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:25:08: Epoch [1/10], Step [11600/12534], Loss: 0.0700
|
||||
Thu, 15 Sep 2022 04:25:19: Epoch [1/10], Step [11800/12534], Loss: 0.0070
|
||||
Thu, 15 Sep 2022 04:25:29: Epoch [1/10], Step [12000/12534], Loss: 0.0070
|
||||
Thu, 15 Sep 2022 04:25:39: Epoch [1/10], Step [12200/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 04:25:49: Epoch [1/10], Step [12400/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 04:26:06: Epoch [2/10], Step [200/12534], Loss: 0.0069
|
||||
Thu, 15 Sep 2022 04:26:16: Epoch [2/10], Step [400/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 04:26:27: Epoch [2/10], Step [600/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:26:37: Epoch [2/10], Step [800/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:26:47: Epoch [2/10], Step [1000/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:26:57: Epoch [2/10], Step [1200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:27:07: Epoch [2/10], Step [1400/12534], Loss: 0.0034
|
||||
Thu, 15 Sep 2022 04:27:17: Epoch [2/10], Step [1600/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:27:28: Epoch [2/10], Step [1800/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:27:38: Epoch [2/10], Step [2000/12534], Loss: 0.0107
|
||||
Thu, 15 Sep 2022 04:27:48: Epoch [2/10], Step [2200/12534], Loss: 0.0201
|
||||
Thu, 15 Sep 2022 04:27:58: Epoch [2/10], Step [2400/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 04:28:08: Epoch [2/10], Step [2600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:28:18: Epoch [2/10], Step [2800/12534], Loss: 0.0160
|
||||
Thu, 15 Sep 2022 04:28:28: Epoch [2/10], Step [3000/12534], Loss: 0.0180
|
||||
Thu, 15 Sep 2022 04:28:39: Epoch [2/10], Step [3200/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 04:28:49: Epoch [2/10], Step [3400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 04:28:59: Epoch [2/10], Step [3600/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 04:29:09: Epoch [2/10], Step [3800/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 04:29:19: Epoch [2/10], Step [4000/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:29:29: Epoch [2/10], Step [4200/12534], Loss: 0.0190
|
||||
Thu, 15 Sep 2022 04:29:39: Epoch [2/10], Step [4400/12534], Loss: 0.0691
|
||||
Thu, 15 Sep 2022 04:29:49: Epoch [2/10], Step [4600/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 04:30:00: Epoch [2/10], Step [4800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:30:10: Epoch [2/10], Step [5000/12534], Loss: 0.0191
|
||||
Thu, 15 Sep 2022 04:30:20: Epoch [2/10], Step [5200/12534], Loss: 0.0292
|
||||
Thu, 15 Sep 2022 04:30:30: Epoch [2/10], Step [5400/12534], Loss: 0.0416
|
||||
Thu, 15 Sep 2022 04:30:40: Epoch [2/10], Step [5600/12534], Loss: 0.0034
|
||||
Thu, 15 Sep 2022 04:30:50: Epoch [2/10], Step [5800/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 04:31:01: Epoch [2/10], Step [6000/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 04:31:11: Epoch [2/10], Step [6200/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 04:31:21: Epoch [2/10], Step [6400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 04:31:31: Epoch [2/10], Step [6600/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:31:42: Epoch [2/10], Step [6800/12534], Loss: 0.0137
|
||||
Thu, 15 Sep 2022 04:31:52: Epoch [2/10], Step [7000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:32:02: Epoch [2/10], Step [7200/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 04:32:12: Epoch [2/10], Step [7400/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:32:22: Epoch [2/10], Step [7600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:32:32: Epoch [2/10], Step [7800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:32:43: Epoch [2/10], Step [8000/12534], Loss: 0.0172
|
||||
Thu, 15 Sep 2022 04:32:53: Epoch [2/10], Step [8200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:33:03: Epoch [2/10], Step [8400/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 04:33:14: Epoch [2/10], Step [8600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:33:24: Epoch [2/10], Step [8800/12534], Loss: 0.0377
|
||||
Thu, 15 Sep 2022 04:33:34: Epoch [2/10], Step [9000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:33:45: Epoch [2/10], Step [9200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:33:55: Epoch [2/10], Step [9400/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:34:05: Epoch [2/10], Step [9600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:34:16: Epoch [2/10], Step [9800/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:34:26: Epoch [2/10], Step [10000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:34:36: Epoch [2/10], Step [10200/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:34:46: Epoch [2/10], Step [10400/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 04:34:56: Epoch [2/10], Step [10600/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 04:35:07: Epoch [2/10], Step [10800/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:35:17: Epoch [2/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:35:27: Epoch [2/10], Step [11200/12534], Loss: 0.0077
|
||||
Thu, 15 Sep 2022 04:35:37: Epoch [2/10], Step [11400/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 04:35:48: Epoch [2/10], Step [11600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:35:58: Epoch [2/10], Step [11800/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 04:36:08: Epoch [2/10], Step [12000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:36:19: Epoch [2/10], Step [12200/12534], Loss: 0.0147
|
||||
Thu, 15 Sep 2022 04:36:29: Epoch [2/10], Step [12400/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 04:36:46: Epoch [3/10], Step [200/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 04:36:57: Epoch [3/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:37:07: Epoch [3/10], Step [600/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 04:37:17: Epoch [3/10], Step [800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:37:28: Epoch [3/10], Step [1000/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:37:38: Epoch [3/10], Step [1200/12534], Loss: 0.0619
|
||||
Thu, 15 Sep 2022 04:37:48: Epoch [3/10], Step [1400/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 04:37:58: Epoch [3/10], Step [1600/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:38:09: Epoch [3/10], Step [1800/12534], Loss: 0.0090
|
||||
Thu, 15 Sep 2022 04:38:19: Epoch [3/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:38:29: Epoch [3/10], Step [2200/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 04:38:39: Epoch [3/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:38:50: Epoch [3/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:39:00: Epoch [3/10], Step [2800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 04:39:10: Epoch [3/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:39:21: Epoch [3/10], Step [3200/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:39:31: Epoch [3/10], Step [3400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 04:39:41: Epoch [3/10], Step [3600/12534], Loss: 0.0348
|
||||
Thu, 15 Sep 2022 04:39:51: Epoch [3/10], Step [3800/12534], Loss: 0.0036
|
||||
Thu, 15 Sep 2022 04:40:02: Epoch [3/10], Step [4000/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 04:40:12: Epoch [3/10], Step [4200/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 04:40:22: Epoch [3/10], Step [4400/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 04:40:32: Epoch [3/10], Step [4600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:40:43: Epoch [3/10], Step [4800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 04:40:53: Epoch [3/10], Step [5000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:41:03: Epoch [3/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:41:13: Epoch [3/10], Step [5400/12534], Loss: 0.0058
|
||||
Thu, 15 Sep 2022 04:41:24: Epoch [3/10], Step [5600/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 04:41:34: Epoch [3/10], Step [5800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:41:44: Epoch [3/10], Step [6000/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 04:41:54: Epoch [3/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:42:05: Epoch [3/10], Step [6400/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 04:42:15: Epoch [3/10], Step [6600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 04:42:25: Epoch [3/10], Step [6800/12534], Loss: 0.0080
|
||||
Thu, 15 Sep 2022 04:42:35: Epoch [3/10], Step [7000/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 04:42:45: Epoch [3/10], Step [7200/12534], Loss: 0.0082
|
||||
Thu, 15 Sep 2022 04:42:56: Epoch [3/10], Step [7400/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 04:43:06: Epoch [3/10], Step [7600/12534], Loss: 0.0142
|
||||
Thu, 15 Sep 2022 04:43:16: Epoch [3/10], Step [7800/12534], Loss: 0.0074
|
||||
Thu, 15 Sep 2022 04:43:27: Epoch [3/10], Step [8000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:43:37: Epoch [3/10], Step [8200/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:43:47: Epoch [3/10], Step [8400/12534], Loss: 0.0380
|
||||
Thu, 15 Sep 2022 04:43:57: Epoch [3/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:44:07: Epoch [3/10], Step [8800/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 04:44:18: Epoch [3/10], Step [9000/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 04:44:28: Epoch [3/10], Step [9200/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:44:38: Epoch [3/10], Step [9400/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 04:44:48: Epoch [3/10], Step [9600/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:44:59: Epoch [3/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:45:09: Epoch [3/10], Step [10000/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 04:45:19: Epoch [3/10], Step [10200/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 04:45:29: Epoch [3/10], Step [10400/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 04:45:40: Epoch [3/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:45:50: Epoch [3/10], Step [10800/12534], Loss: 0.0072
|
||||
Thu, 15 Sep 2022 04:46:00: Epoch [3/10], Step [11000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:46:11: Epoch [3/10], Step [11200/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 04:46:21: Epoch [3/10], Step [11400/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 04:46:31: Epoch [3/10], Step [11600/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 04:46:41: Epoch [3/10], Step [11800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:46:51: Epoch [3/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:47:01: Epoch [3/10], Step [12200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 04:47:11: Epoch [3/10], Step [12400/12534], Loss: 0.0205
|
||||
Thu, 15 Sep 2022 04:47:28: Epoch [4/10], Step [200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:47:38: Epoch [4/10], Step [400/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 04:47:48: Epoch [4/10], Step [600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:47:58: Epoch [4/10], Step [800/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:48:08: Epoch [4/10], Step [1000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:48:18: Epoch [4/10], Step [1200/12534], Loss: 0.0046
|
||||
Thu, 15 Sep 2022 04:48:28: Epoch [4/10], Step [1400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:48:39: Epoch [4/10], Step [1600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:48:49: Epoch [4/10], Step [1800/12534], Loss: 0.0213
|
||||
Thu, 15 Sep 2022 04:48:59: Epoch [4/10], Step [2000/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 04:49:09: Epoch [4/10], Step [2200/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 04:49:19: Epoch [4/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:49:29: Epoch [4/10], Step [2600/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:49:39: Epoch [4/10], Step [2800/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:49:49: Epoch [4/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:49:59: Epoch [4/10], Step [3200/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 04:50:09: Epoch [4/10], Step [3400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:50:19: Epoch [4/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:50:30: Epoch [4/10], Step [3800/12534], Loss: 0.0175
|
||||
Thu, 15 Sep 2022 04:50:40: Epoch [4/10], Step [4000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:50:50: Epoch [4/10], Step [4200/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:51:00: Epoch [4/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:51:10: Epoch [4/10], Step [4600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:51:20: Epoch [4/10], Step [4800/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 04:51:30: Epoch [4/10], Step [5000/12534], Loss: 0.0056
|
||||
Thu, 15 Sep 2022 04:51:40: Epoch [4/10], Step [5200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:51:50: Epoch [4/10], Step [5400/12534], Loss: 0.0147
|
||||
Thu, 15 Sep 2022 04:52:01: Epoch [4/10], Step [5600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 04:52:11: Epoch [4/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:52:21: Epoch [4/10], Step [6000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:52:31: Epoch [4/10], Step [6200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:52:41: Epoch [4/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:52:51: Epoch [4/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:53:01: Epoch [4/10], Step [6800/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 04:53:11: Epoch [4/10], Step [7000/12534], Loss: 0.0007
|
||||
Thu, 15 Sep 2022 04:53:21: Epoch [4/10], Step [7200/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 04:53:31: Epoch [4/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:53:41: Epoch [4/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:53:51: Epoch [4/10], Step [7800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 04:54:02: Epoch [4/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:54:12: Epoch [4/10], Step [8200/12534], Loss: 0.0051
|
||||
Thu, 15 Sep 2022 04:54:22: Epoch [4/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:54:32: Epoch [4/10], Step [8600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:54:42: Epoch [4/10], Step [8800/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:54:52: Epoch [4/10], Step [9000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:55:02: Epoch [4/10], Step [9200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 04:55:12: Epoch [4/10], Step [9400/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 04:55:22: Epoch [4/10], Step [9600/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 04:55:32: Epoch [4/10], Step [9800/12534], Loss: 0.0431
|
||||
Thu, 15 Sep 2022 04:55:42: Epoch [4/10], Step [10000/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 04:55:52: Epoch [4/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:56:02: Epoch [4/10], Step [10400/12534], Loss: 0.0100
|
||||
Thu, 15 Sep 2022 04:56:12: Epoch [4/10], Step [10600/12534], Loss: 0.0070
|
||||
Thu, 15 Sep 2022 04:56:22: Epoch [4/10], Step [10800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:56:32: Epoch [4/10], Step [11000/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 04:56:42: Epoch [4/10], Step [11200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 04:56:52: Epoch [4/10], Step [11400/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 04:57:02: Epoch [4/10], Step [11600/12534], Loss: 0.0029
|
||||
Thu, 15 Sep 2022 04:57:12: Epoch [4/10], Step [11800/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 04:57:22: Epoch [4/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:57:32: Epoch [4/10], Step [12200/12534], Loss: 0.0009
|
||||
Thu, 15 Sep 2022 04:57:42: Epoch [4/10], Step [12400/12534], Loss: 0.0448
|
||||
Thu, 15 Sep 2022 04:57:59: Epoch [5/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:58:09: Epoch [5/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:58:19: Epoch [5/10], Step [600/12534], Loss: 0.0059
|
||||
Thu, 15 Sep 2022 04:58:29: Epoch [5/10], Step [800/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 04:58:39: Epoch [5/10], Step [1000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 04:58:49: Epoch [5/10], Step [1200/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 04:58:59: Epoch [5/10], Step [1400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 04:59:10: Epoch [5/10], Step [1600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 04:59:19: Epoch [5/10], Step [1800/12534], Loss: 0.0067
|
||||
Thu, 15 Sep 2022 04:59:29: Epoch [5/10], Step [2000/12534], Loss: 0.0172
|
||||
Thu, 15 Sep 2022 04:59:39: Epoch [5/10], Step [2200/12534], Loss: 0.0838
|
||||
Thu, 15 Sep 2022 04:59:49: Epoch [5/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 04:59:59: Epoch [5/10], Step [2600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:00:09: Epoch [5/10], Step [2800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:00:19: Epoch [5/10], Step [3000/12534], Loss: 0.0067
|
||||
Thu, 15 Sep 2022 05:00:29: Epoch [5/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:00:39: Epoch [5/10], Step [3400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:00:49: Epoch [5/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:00:59: Epoch [5/10], Step [3800/12534], Loss: 0.0060
|
||||
Thu, 15 Sep 2022 05:01:10: Epoch [5/10], Step [4000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:01:20: Epoch [5/10], Step [4200/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:01:30: Epoch [5/10], Step [4400/12534], Loss: 0.0030
|
||||
Thu, 15 Sep 2022 05:01:40: Epoch [5/10], Step [4600/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 05:01:50: Epoch [5/10], Step [4800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:02:00: Epoch [5/10], Step [5000/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 05:02:10: Epoch [5/10], Step [5200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:02:20: Epoch [5/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:02:30: Epoch [5/10], Step [5600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:02:40: Epoch [5/10], Step [5800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 05:02:50: Epoch [5/10], Step [6000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:03:00: Epoch [5/10], Step [6200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:03:10: Epoch [5/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:03:20: Epoch [5/10], Step [6600/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 05:03:30: Epoch [5/10], Step [6800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:03:40: Epoch [5/10], Step [7000/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 05:03:50: Epoch [5/10], Step [7200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:04:00: Epoch [5/10], Step [7400/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:04:10: Epoch [5/10], Step [7600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:04:20: Epoch [5/10], Step [7800/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 05:04:30: Epoch [5/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:04:40: Epoch [5/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:04:50: Epoch [5/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:05:00: Epoch [5/10], Step [8600/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 05:05:10: Epoch [5/10], Step [8800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:05:20: Epoch [5/10], Step [9000/12534], Loss: 0.0209
|
||||
Thu, 15 Sep 2022 05:05:30: Epoch [5/10], Step [9200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:05:40: Epoch [5/10], Step [9400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:05:50: Epoch [5/10], Step [9600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:06:00: Epoch [5/10], Step [9800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:06:10: Epoch [5/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:06:20: Epoch [5/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:06:30: Epoch [5/10], Step [10400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:06:40: Epoch [5/10], Step [10600/12534], Loss: 0.0237
|
||||
Thu, 15 Sep 2022 05:06:50: Epoch [5/10], Step [10800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 05:07:00: Epoch [5/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:07:10: Epoch [5/10], Step [11200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:07:20: Epoch [5/10], Step [11400/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 05:07:30: Epoch [5/10], Step [11600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:07:40: Epoch [5/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:07:50: Epoch [5/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:08:00: Epoch [5/10], Step [12200/12534], Loss: 0.0093
|
||||
Thu, 15 Sep 2022 05:08:10: Epoch [5/10], Step [12400/12534], Loss: 0.0041
|
||||
Thu, 15 Sep 2022 05:08:27: Epoch [6/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:08:37: Epoch [6/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:08:47: Epoch [6/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:08:57: Epoch [6/10], Step [800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:09:07: Epoch [6/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:09:17: Epoch [6/10], Step [1200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:09:27: Epoch [6/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:09:37: Epoch [6/10], Step [1600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:09:47: Epoch [6/10], Step [1800/12534], Loss: 0.0087
|
||||
Thu, 15 Sep 2022 05:09:57: Epoch [6/10], Step [2000/12534], Loss: 0.0077
|
||||
Thu, 15 Sep 2022 05:10:07: Epoch [6/10], Step [2200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:10:18: Epoch [6/10], Step [2400/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:10:28: Epoch [6/10], Step [2600/12534], Loss: 0.0130
|
||||
Thu, 15 Sep 2022 05:10:38: Epoch [6/10], Step [2800/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 05:10:48: Epoch [6/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:10:58: Epoch [6/10], Step [3200/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:11:07: Epoch [6/10], Step [3400/12534], Loss: 0.0104
|
||||
Thu, 15 Sep 2022 05:11:18: Epoch [6/10], Step [3600/12534], Loss: 0.0025
|
||||
Thu, 15 Sep 2022 05:11:28: Epoch [6/10], Step [3800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 05:11:37: Epoch [6/10], Step [4000/12534], Loss: 0.0027
|
||||
Thu, 15 Sep 2022 05:11:47: Epoch [6/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:11:57: Epoch [6/10], Step [4400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:12:07: Epoch [6/10], Step [4600/12534], Loss: 0.0028
|
||||
Thu, 15 Sep 2022 05:12:17: Epoch [6/10], Step [4800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:12:27: Epoch [6/10], Step [5000/12534], Loss: 0.0302
|
||||
Thu, 15 Sep 2022 05:12:37: Epoch [6/10], Step [5200/12534], Loss: 0.0031
|
||||
Thu, 15 Sep 2022 05:12:47: Epoch [6/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:12:57: Epoch [6/10], Step [5600/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 05:13:07: Epoch [6/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:13:17: Epoch [6/10], Step [6000/12534], Loss: 0.0183
|
||||
Thu, 15 Sep 2022 05:13:27: Epoch [6/10], Step [6200/12534], Loss: 0.0047
|
||||
Thu, 15 Sep 2022 05:13:37: Epoch [6/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:13:47: Epoch [6/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:13:57: Epoch [6/10], Step [6800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:14:07: Epoch [6/10], Step [7000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:14:17: Epoch [6/10], Step [7200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:14:27: Epoch [6/10], Step [7400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:14:37: Epoch [6/10], Step [7600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:14:47: Epoch [6/10], Step [7800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:14:57: Epoch [6/10], Step [8000/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 05:15:07: Epoch [6/10], Step [8200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:15:17: Epoch [6/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:15:27: Epoch [6/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:15:37: Epoch [6/10], Step [8800/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:15:47: Epoch [6/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:15:57: Epoch [6/10], Step [9200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:16:07: Epoch [6/10], Step [9400/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 05:16:17: Epoch [6/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:16:27: Epoch [6/10], Step [9800/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:16:37: Epoch [6/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:16:47: Epoch [6/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:16:57: Epoch [6/10], Step [10400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:17:07: Epoch [6/10], Step [10600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:17:17: Epoch [6/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:17:27: Epoch [6/10], Step [11000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:17:37: Epoch [6/10], Step [11200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:17:47: Epoch [6/10], Step [11400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:17:57: Epoch [6/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:18:07: Epoch [6/10], Step [11800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:18:17: Epoch [6/10], Step [12000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:18:27: Epoch [6/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:18:37: Epoch [6/10], Step [12400/12534], Loss: 0.0218
|
||||
Thu, 15 Sep 2022 05:18:54: Epoch [7/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:19:04: Epoch [7/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:19:14: Epoch [7/10], Step [600/12534], Loss: 0.0087
|
||||
Thu, 15 Sep 2022 05:19:25: Epoch [7/10], Step [800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:19:35: Epoch [7/10], Step [1000/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 05:19:45: Epoch [7/10], Step [1200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:19:55: Epoch [7/10], Step [1400/12534], Loss: 0.0780
|
||||
Thu, 15 Sep 2022 05:20:05: Epoch [7/10], Step [1600/12534], Loss: 0.0055
|
||||
Thu, 15 Sep 2022 05:20:15: Epoch [7/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:20:25: Epoch [7/10], Step [2000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:20:35: Epoch [7/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:20:45: Epoch [7/10], Step [2400/12534], Loss: 0.0088
|
||||
Thu, 15 Sep 2022 05:20:55: Epoch [7/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:21:05: Epoch [7/10], Step [2800/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 05:21:15: Epoch [7/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:21:25: Epoch [7/10], Step [3200/12534], Loss: 0.0271
|
||||
Thu, 15 Sep 2022 05:21:35: Epoch [7/10], Step [3400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 05:21:45: Epoch [7/10], Step [3600/12534], Loss: 0.0293
|
||||
Thu, 15 Sep 2022 05:21:55: Epoch [7/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:22:05: Epoch [7/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:22:15: Epoch [7/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:22:26: Epoch [7/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:22:36: Epoch [7/10], Step [4600/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:22:46: Epoch [7/10], Step [4800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:22:56: Epoch [7/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:23:06: Epoch [7/10], Step [5200/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 05:23:17: Epoch [7/10], Step [5400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:23:27: Epoch [7/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:23:37: Epoch [7/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:23:47: Epoch [7/10], Step [6000/12534], Loss: 0.0267
|
||||
Thu, 15 Sep 2022 05:23:57: Epoch [7/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:24:07: Epoch [7/10], Step [6400/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 05:24:17: Epoch [7/10], Step [6600/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 05:24:27: Epoch [7/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:24:37: Epoch [7/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:24:47: Epoch [7/10], Step [7200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:24:57: Epoch [7/10], Step [7400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:25:07: Epoch [7/10], Step [7600/12534], Loss: 0.0015
|
||||
Thu, 15 Sep 2022 05:25:17: Epoch [7/10], Step [7800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:25:27: Epoch [7/10], Step [8000/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 05:25:37: Epoch [7/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:25:47: Epoch [7/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:25:57: Epoch [7/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:26:07: Epoch [7/10], Step [8800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:26:17: Epoch [7/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:26:27: Epoch [7/10], Step [9200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 05:26:37: Epoch [7/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:26:47: Epoch [7/10], Step [9600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:26:57: Epoch [7/10], Step [9800/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 05:27:07: Epoch [7/10], Step [10000/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 05:27:17: Epoch [7/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:27:27: Epoch [7/10], Step [10400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:27:37: Epoch [7/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:27:47: Epoch [7/10], Step [10800/12534], Loss: 0.0014
|
||||
Thu, 15 Sep 2022 05:27:57: Epoch [7/10], Step [11000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:28:06: Epoch [7/10], Step [11200/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 05:28:16: Epoch [7/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:28:26: Epoch [7/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:28:36: Epoch [7/10], Step [11800/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 05:28:46: Epoch [7/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:28:56: Epoch [7/10], Step [12200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:29:06: Epoch [7/10], Step [12400/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 05:29:23: Epoch [8/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:29:33: Epoch [8/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:29:43: Epoch [8/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:29:53: Epoch [8/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:30:03: Epoch [8/10], Step [1000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:30:13: Epoch [8/10], Step [1200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:30:23: Epoch [8/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:30:33: Epoch [8/10], Step [1600/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:30:43: Epoch [8/10], Step [1800/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 05:30:53: Epoch [8/10], Step [2000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:31:03: Epoch [8/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:31:13: Epoch [8/10], Step [2400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:31:22: Epoch [8/10], Step [2600/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 05:31:33: Epoch [8/10], Step [2800/12534], Loss: 0.0221
|
||||
Thu, 15 Sep 2022 05:31:43: Epoch [8/10], Step [3000/12534], Loss: 0.0249
|
||||
Thu, 15 Sep 2022 05:31:52: Epoch [8/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:32:02: Epoch [8/10], Step [3400/12534], Loss: 0.0192
|
||||
Thu, 15 Sep 2022 05:32:12: Epoch [8/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:32:22: Epoch [8/10], Step [3800/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 05:32:32: Epoch [8/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:32:42: Epoch [8/10], Step [4200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:32:52: Epoch [8/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:33:02: Epoch [8/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:33:12: Epoch [8/10], Step [4800/12534], Loss: 0.0347
|
||||
Thu, 15 Sep 2022 05:33:22: Epoch [8/10], Step [5000/12534], Loss: 0.0060
|
||||
Thu, 15 Sep 2022 05:33:32: Epoch [8/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:33:42: Epoch [8/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:33:52: Epoch [8/10], Step [5600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:34:02: Epoch [8/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:34:12: Epoch [8/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:34:22: Epoch [8/10], Step [6200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:34:32: Epoch [8/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:34:42: Epoch [8/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:34:52: Epoch [8/10], Step [6800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:35:02: Epoch [8/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:35:12: Epoch [8/10], Step [7200/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 05:35:22: Epoch [8/10], Step [7400/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:35:32: Epoch [8/10], Step [7600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:35:42: Epoch [8/10], Step [7800/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 05:35:52: Epoch [8/10], Step [8000/12534], Loss: 0.0006
|
||||
Thu, 15 Sep 2022 05:36:02: Epoch [8/10], Step [8200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:36:12: Epoch [8/10], Step [8400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:36:21: Epoch [8/10], Step [8600/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:36:31: Epoch [8/10], Step [8800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:36:41: Epoch [8/10], Step [9000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:36:51: Epoch [8/10], Step [9200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:37:01: Epoch [8/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:37:11: Epoch [8/10], Step [9600/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:37:21: Epoch [8/10], Step [9800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:37:31: Epoch [8/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:37:41: Epoch [8/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:37:51: Epoch [8/10], Step [10400/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 05:38:01: Epoch [8/10], Step [10600/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 05:38:11: Epoch [8/10], Step [10800/12534], Loss: 0.0245
|
||||
Thu, 15 Sep 2022 05:38:21: Epoch [8/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:38:31: Epoch [8/10], Step [11200/12534], Loss: 0.0012
|
||||
Thu, 15 Sep 2022 05:38:41: Epoch [8/10], Step [11400/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:38:51: Epoch [8/10], Step [11600/12534], Loss: 0.0161
|
||||
Thu, 15 Sep 2022 05:39:01: Epoch [8/10], Step [11800/12534], Loss: 0.0087
|
||||
Thu, 15 Sep 2022 05:39:11: Epoch [8/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:39:21: Epoch [8/10], Step [12200/12534], Loss: 0.0010
|
||||
Thu, 15 Sep 2022 05:39:31: Epoch [8/10], Step [12400/12534], Loss: 0.0150
|
||||
Thu, 15 Sep 2022 05:39:48: Epoch [9/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:39:58: Epoch [9/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:40:08: Epoch [9/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:40:18: Epoch [9/10], Step [800/12534], Loss: 0.0129
|
||||
Thu, 15 Sep 2022 05:40:28: Epoch [9/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:40:38: Epoch [9/10], Step [1200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:40:48: Epoch [9/10], Step [1400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:40:58: Epoch [9/10], Step [1600/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:41:08: Epoch [9/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:41:18: Epoch [9/10], Step [2000/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:41:28: Epoch [9/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:41:38: Epoch [9/10], Step [2400/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:41:48: Epoch [9/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:41:58: Epoch [9/10], Step [2800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:42:07: Epoch [9/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:42:17: Epoch [9/10], Step [3200/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:42:27: Epoch [9/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:42:37: Epoch [9/10], Step [3600/12534], Loss: 0.0022
|
||||
Thu, 15 Sep 2022 05:42:47: Epoch [9/10], Step [3800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:42:57: Epoch [9/10], Step [4000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:43:07: Epoch [9/10], Step [4200/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:43:17: Epoch [9/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:43:27: Epoch [9/10], Step [4600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:43:37: Epoch [9/10], Step [4800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:43:47: Epoch [9/10], Step [5000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:43:57: Epoch [9/10], Step [5200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:44:07: Epoch [9/10], Step [5400/12534], Loss: 0.0005
|
||||
Thu, 15 Sep 2022 05:44:17: Epoch [9/10], Step [5600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:44:27: Epoch [9/10], Step [5800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:44:37: Epoch [9/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:44:47: Epoch [9/10], Step [6200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:44:57: Epoch [9/10], Step [6400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:45:07: Epoch [9/10], Step [6600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:45:17: Epoch [9/10], Step [6800/12534], Loss: 0.0054
|
||||
Thu, 15 Sep 2022 05:45:27: Epoch [9/10], Step [7000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:45:37: Epoch [9/10], Step [7200/12534], Loss: 0.0017
|
||||
Thu, 15 Sep 2022 05:45:47: Epoch [9/10], Step [7400/12534], Loss: 0.0173
|
||||
Thu, 15 Sep 2022 05:45:57: Epoch [9/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:46:07: Epoch [9/10], Step [7800/12534], Loss: 0.0483
|
||||
Thu, 15 Sep 2022 05:46:17: Epoch [9/10], Step [8000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:46:27: Epoch [9/10], Step [8200/12534], Loss: 0.0040
|
||||
Thu, 15 Sep 2022 05:46:37: Epoch [9/10], Step [8400/12534], Loss: 0.0021
|
||||
Thu, 15 Sep 2022 05:46:47: Epoch [9/10], Step [8600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:46:57: Epoch [9/10], Step [8800/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 05:47:07: Epoch [9/10], Step [9000/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 05:47:17: Epoch [9/10], Step [9200/12534], Loss: 0.0016
|
||||
Thu, 15 Sep 2022 05:47:27: Epoch [9/10], Step [9400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:47:37: Epoch [9/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:47:47: Epoch [9/10], Step [9800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:47:57: Epoch [9/10], Step [10000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:48:07: Epoch [9/10], Step [10200/12534], Loss: 0.0038
|
||||
Thu, 15 Sep 2022 05:48:16: Epoch [9/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:48:26: Epoch [9/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:48:36: Epoch [9/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:48:46: Epoch [9/10], Step [11000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:48:56: Epoch [9/10], Step [11200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:49:06: Epoch [9/10], Step [11400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:49:16: Epoch [9/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:49:26: Epoch [9/10], Step [11800/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 05:49:36: Epoch [9/10], Step [12000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:49:46: Epoch [9/10], Step [12200/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:49:56: Epoch [9/10], Step [12400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:50:13: Epoch [10/10], Step [200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:50:23: Epoch [10/10], Step [400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:50:33: Epoch [10/10], Step [600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:50:43: Epoch [10/10], Step [800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:50:53: Epoch [10/10], Step [1000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:51:03: Epoch [10/10], Step [1200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:51:13: Epoch [10/10], Step [1400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:51:23: Epoch [10/10], Step [1600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:51:33: Epoch [10/10], Step [1800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:51:43: Epoch [10/10], Step [2000/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:51:53: Epoch [10/10], Step [2200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:03: Epoch [10/10], Step [2400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:13: Epoch [10/10], Step [2600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:23: Epoch [10/10], Step [2800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:33: Epoch [10/10], Step [3000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:43: Epoch [10/10], Step [3200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:52:53: Epoch [10/10], Step [3400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:53:03: Epoch [10/10], Step [3600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:53:13: Epoch [10/10], Step [3800/12534], Loss: 0.0002
|
||||
Thu, 15 Sep 2022 05:53:22: Epoch [10/10], Step [4000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:53:32: Epoch [10/10], Step [4200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:53:42: Epoch [10/10], Step [4400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:53:52: Epoch [10/10], Step [4600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:54:02: Epoch [10/10], Step [4800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:54:12: Epoch [10/10], Step [5000/12534], Loss: 0.0190
|
||||
Thu, 15 Sep 2022 05:54:22: Epoch [10/10], Step [5200/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 05:54:32: Epoch [10/10], Step [5400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:54:42: Epoch [10/10], Step [5600/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:54:52: Epoch [10/10], Step [5800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:55:02: Epoch [10/10], Step [6000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:55:12: Epoch [10/10], Step [6200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:55:22: Epoch [10/10], Step [6400/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:55:32: Epoch [10/10], Step [6600/12534], Loss: 0.0232
|
||||
Thu, 15 Sep 2022 05:55:42: Epoch [10/10], Step [6800/12534], Loss: 0.0008
|
||||
Thu, 15 Sep 2022 05:55:52: Epoch [10/10], Step [7000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:56:02: Epoch [10/10], Step [7200/12534], Loss: 0.0023
|
||||
Thu, 15 Sep 2022 05:56:12: Epoch [10/10], Step [7400/12534], Loss: 0.0090
|
||||
Thu, 15 Sep 2022 05:56:22: Epoch [10/10], Step [7600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:56:32: Epoch [10/10], Step [7800/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:56:41: Epoch [10/10], Step [8000/12534], Loss: 0.0004
|
||||
Thu, 15 Sep 2022 05:56:51: Epoch [10/10], Step [8200/12534], Loss: 0.0003
|
||||
Thu, 15 Sep 2022 05:57:01: Epoch [10/10], Step [8400/12534], Loss: 0.0019
|
||||
Thu, 15 Sep 2022 05:57:11: Epoch [10/10], Step [8600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:57:21: Epoch [10/10], Step [8800/12534], Loss: 0.0026
|
||||
Thu, 15 Sep 2022 05:57:31: Epoch [10/10], Step [9000/12534], Loss: 0.0018
|
||||
Thu, 15 Sep 2022 05:57:42: Epoch [10/10], Step [9200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:57:51: Epoch [10/10], Step [9400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:58:01: Epoch [10/10], Step [9600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:58:11: Epoch [10/10], Step [9800/12534], Loss: 0.0011
|
||||
Thu, 15 Sep 2022 05:58:21: Epoch [10/10], Step [10000/12534], Loss: 0.0001
|
||||
Thu, 15 Sep 2022 05:58:31: Epoch [10/10], Step [10200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:58:41: Epoch [10/10], Step [10400/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:58:51: Epoch [10/10], Step [10600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:59:01: Epoch [10/10], Step [10800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:59:11: Epoch [10/10], Step [11000/12534], Loss: 0.0168
|
||||
Thu, 15 Sep 2022 05:59:21: Epoch [10/10], Step [11200/12534], Loss: 0.0020
|
||||
Thu, 15 Sep 2022 05:59:31: Epoch [10/10], Step [11400/12534], Loss: 0.1761
|
||||
Thu, 15 Sep 2022 05:59:41: Epoch [10/10], Step [11600/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 05:59:51: Epoch [10/10], Step [11800/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 06:00:01: Epoch [10/10], Step [12000/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 06:00:11: Epoch [10/10], Step [12200/12534], Loss: 0.0000
|
||||
Thu, 15 Sep 2022 06:00:21: Epoch [10/10], Step [12400/12534], Loss: 0.0013
|
||||
Thu, 15 Sep 2022 06:00:27: start testing on test dataset
|
||||
Thu, 15 Sep 2022 06:03:42:
|
||||
f1:0.9979992098790605
|
||||
Thu, 15 Sep 2022 06:03:43:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9992 0.9968 0.9980 156595
|
||||
1.0 0.9968 0.9992 0.9980 156744
|
||||
|
||||
accuracy 0.9980 313339
|
||||
macro avg 0.9980 0.9980 0.9980 313339
|
||||
weighted avg 0.9980 0.9980 0.9980 313339
|
||||
|
||||
Thu, 15 Sep 2022 06:03:43:
|
||||
[[156087 508]
|
||||
[ 120 156624]]
|
||||
654
代码/sequenceShield/新小论文数据/ss-lstm-cicdos2017-1layer.log
Normal file
654
代码/sequenceShield/新小论文数据/ss-lstm-cicdos2017-1layer.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Wed, 14 Sep 2022 17:30:12: -------------
|
||||
Wed, 14 Sep 2022 17:30:13: cuda is_available:True
|
||||
Wed, 14 Sep 2022 17:30:13: model parameters - num_layers:1, sequence_len:40
|
||||
Wed, 14 Sep 2022 17:30:13: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 17:30:13: reading csv file
|
||||
Wed, 14 Sep 2022 17:30:13: csv file alread loaded
|
||||
Wed, 14 Sep 2022 17:30:23: procols num: 31
|
||||
Wed, 14 Sep 2022 17:30:23: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Wed, 14 Sep 2022 17:31:40: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Wed, 14 Sep 2022 17:31:42: loader already prepared
|
||||
Wed, 14 Sep 2022 17:31:42: loader中(0:normal,1:high,2:low):Counter({0: 16282, 2: 10727, 1: 5210})
|
||||
Wed, 14 Sep 2022 17:31:43: start training
|
||||
Wed, 14 Sep 2022 17:31:44: Epoch [1/25], Step [50/1289], Loss: 0.6544
|
||||
Wed, 14 Sep 2022 17:31:44: Epoch [1/25], Step [100/1289], Loss: 0.3606
|
||||
Wed, 14 Sep 2022 17:31:44: Epoch [1/25], Step [150/1289], Loss: 0.4330
|
||||
Wed, 14 Sep 2022 17:31:44: Epoch [1/25], Step [200/1289], Loss: 0.3389
|
||||
Wed, 14 Sep 2022 17:31:44: Epoch [1/25], Step [250/1289], Loss: 0.2951
|
||||
Wed, 14 Sep 2022 17:31:45: Epoch [1/25], Step [300/1289], Loss: 0.3289
|
||||
Wed, 14 Sep 2022 17:31:45: Epoch [1/25], Step [350/1289], Loss: 0.4685
|
||||
Wed, 14 Sep 2022 17:31:45: Epoch [1/25], Step [400/1289], Loss: 0.3589
|
||||
Wed, 14 Sep 2022 17:31:45: Epoch [1/25], Step [450/1289], Loss: 0.3917
|
||||
Wed, 14 Sep 2022 17:31:45: Epoch [1/25], Step [500/1289], Loss: 0.3513
|
||||
Wed, 14 Sep 2022 17:31:46: Epoch [1/25], Step [550/1289], Loss: 0.3050
|
||||
Wed, 14 Sep 2022 17:31:46: Epoch [1/25], Step [600/1289], Loss: 0.2553
|
||||
Wed, 14 Sep 2022 17:31:46: Epoch [1/25], Step [650/1289], Loss: 0.2951
|
||||
Wed, 14 Sep 2022 17:31:46: Epoch [1/25], Step [700/1289], Loss: 0.3188
|
||||
Wed, 14 Sep 2022 17:31:46: Epoch [1/25], Step [750/1289], Loss: 0.2736
|
||||
Wed, 14 Sep 2022 17:31:47: Epoch [1/25], Step [800/1289], Loss: 0.3197
|
||||
Wed, 14 Sep 2022 17:31:47: Epoch [1/25], Step [850/1289], Loss: 0.2327
|
||||
Wed, 14 Sep 2022 17:31:47: Epoch [1/25], Step [900/1289], Loss: 0.3609
|
||||
Wed, 14 Sep 2022 17:31:47: Epoch [1/25], Step [950/1289], Loss: 0.2211
|
||||
Wed, 14 Sep 2022 17:31:47: Epoch [1/25], Step [1000/1289], Loss: 0.2436
|
||||
Wed, 14 Sep 2022 17:31:48: Epoch [1/25], Step [1050/1289], Loss: 0.3339
|
||||
Wed, 14 Sep 2022 17:31:48: Epoch [1/25], Step [1100/1289], Loss: 0.2786
|
||||
Wed, 14 Sep 2022 17:31:48: Epoch [1/25], Step [1150/1289], Loss: 0.2881
|
||||
Wed, 14 Sep 2022 17:31:48: Epoch [1/25], Step [1200/1289], Loss: 0.2175
|
||||
Wed, 14 Sep 2022 17:31:48: Epoch [1/25], Step [1250/1289], Loss: 0.2127
|
||||
Wed, 14 Sep 2022 17:31:49: Epoch [2/25], Step [50/1289], Loss: 0.4125
|
||||
Wed, 14 Sep 2022 17:31:49: Epoch [2/25], Step [100/1289], Loss: 0.3218
|
||||
Wed, 14 Sep 2022 17:31:49: Epoch [2/25], Step [150/1289], Loss: 0.2924
|
||||
Wed, 14 Sep 2022 17:31:49: Epoch [2/25], Step [200/1289], Loss: 0.2553
|
||||
Wed, 14 Sep 2022 17:31:50: Epoch [2/25], Step [250/1289], Loss: 0.3660
|
||||
Wed, 14 Sep 2022 17:31:50: Epoch [2/25], Step [300/1289], Loss: 0.1944
|
||||
Wed, 14 Sep 2022 17:31:50: Epoch [2/25], Step [350/1289], Loss: 0.1631
|
||||
Wed, 14 Sep 2022 17:31:50: Epoch [2/25], Step [400/1289], Loss: 0.2179
|
||||
Wed, 14 Sep 2022 17:31:50: Epoch [2/25], Step [450/1289], Loss: 0.1589
|
||||
Wed, 14 Sep 2022 17:31:51: Epoch [2/25], Step [500/1289], Loss: 0.1303
|
||||
Wed, 14 Sep 2022 17:31:51: Epoch [2/25], Step [550/1289], Loss: 0.2947
|
||||
Wed, 14 Sep 2022 17:31:51: Epoch [2/25], Step [600/1289], Loss: 0.2849
|
||||
Wed, 14 Sep 2022 17:31:51: Epoch [2/25], Step [650/1289], Loss: 0.2641
|
||||
Wed, 14 Sep 2022 17:31:51: Epoch [2/25], Step [700/1289], Loss: 0.1680
|
||||
Wed, 14 Sep 2022 17:31:52: Epoch [2/25], Step [750/1289], Loss: 0.2442
|
||||
Wed, 14 Sep 2022 17:31:52: Epoch [2/25], Step [800/1289], Loss: 0.2618
|
||||
Wed, 14 Sep 2022 17:31:52: Epoch [2/25], Step [850/1289], Loss: 0.1620
|
||||
Wed, 14 Sep 2022 17:31:52: Epoch [2/25], Step [900/1289], Loss: 0.2025
|
||||
Wed, 14 Sep 2022 17:31:53: Epoch [2/25], Step [950/1289], Loss: 0.1963
|
||||
Wed, 14 Sep 2022 17:31:53: Epoch [2/25], Step [1000/1289], Loss: 0.1215
|
||||
Wed, 14 Sep 2022 17:31:53: Epoch [2/25], Step [1050/1289], Loss: 0.1232
|
||||
Wed, 14 Sep 2022 17:31:53: Epoch [2/25], Step [1100/1289], Loss: 0.1399
|
||||
Wed, 14 Sep 2022 17:31:53: Epoch [2/25], Step [1150/1289], Loss: 0.1820
|
||||
Wed, 14 Sep 2022 17:31:54: Epoch [2/25], Step [1200/1289], Loss: 0.2165
|
||||
Wed, 14 Sep 2022 17:31:54: Epoch [2/25], Step [1250/1289], Loss: 0.1916
|
||||
Wed, 14 Sep 2022 17:31:54: Epoch [3/25], Step [50/1289], Loss: 0.1772
|
||||
Wed, 14 Sep 2022 17:31:54: Epoch [3/25], Step [100/1289], Loss: 0.1700
|
||||
Wed, 14 Sep 2022 17:31:54: Epoch [3/25], Step [150/1289], Loss: 0.0986
|
||||
Wed, 14 Sep 2022 17:31:55: Epoch [3/25], Step [200/1289], Loss: 0.2246
|
||||
Wed, 14 Sep 2022 17:31:55: Epoch [3/25], Step [250/1289], Loss: 0.1704
|
||||
Wed, 14 Sep 2022 17:31:55: Epoch [3/25], Step [300/1289], Loss: 0.0973
|
||||
Wed, 14 Sep 2022 17:31:55: Epoch [3/25], Step [350/1289], Loss: 0.1654
|
||||
Wed, 14 Sep 2022 17:31:55: Epoch [3/25], Step [400/1289], Loss: 0.1667
|
||||
Wed, 14 Sep 2022 17:31:56: Epoch [3/25], Step [450/1289], Loss: 0.1520
|
||||
Wed, 14 Sep 2022 17:31:56: Epoch [3/25], Step [500/1289], Loss: 0.1140
|
||||
Wed, 14 Sep 2022 17:31:56: Epoch [3/25], Step [550/1289], Loss: 0.2423
|
||||
Wed, 14 Sep 2022 17:31:56: Epoch [3/25], Step [600/1289], Loss: 0.2595
|
||||
Wed, 14 Sep 2022 17:31:56: Epoch [3/25], Step [650/1289], Loss: 0.1675
|
||||
Wed, 14 Sep 2022 17:31:57: Epoch [3/25], Step [700/1289], Loss: 0.1557
|
||||
Wed, 14 Sep 2022 17:31:57: Epoch [3/25], Step [750/1289], Loss: 0.2151
|
||||
Wed, 14 Sep 2022 17:31:57: Epoch [3/25], Step [800/1289], Loss: 0.1269
|
||||
Wed, 14 Sep 2022 17:31:57: Epoch [3/25], Step [850/1289], Loss: 0.1198
|
||||
Wed, 14 Sep 2022 17:31:57: Epoch [3/25], Step [900/1289], Loss: 0.2423
|
||||
Wed, 14 Sep 2022 17:31:58: Epoch [3/25], Step [950/1289], Loss: 0.1731
|
||||
Wed, 14 Sep 2022 17:31:58: Epoch [3/25], Step [1000/1289], Loss: 0.1679
|
||||
Wed, 14 Sep 2022 17:31:58: Epoch [3/25], Step [1050/1289], Loss: 0.1208
|
||||
Wed, 14 Sep 2022 17:31:58: Epoch [3/25], Step [1100/1289], Loss: 0.1354
|
||||
Wed, 14 Sep 2022 17:31:58: Epoch [3/25], Step [1150/1289], Loss: 0.0773
|
||||
Wed, 14 Sep 2022 17:31:59: Epoch [3/25], Step [1200/1289], Loss: 0.0621
|
||||
Wed, 14 Sep 2022 17:31:59: Epoch [3/25], Step [1250/1289], Loss: 0.0979
|
||||
Wed, 14 Sep 2022 17:31:59: Epoch [4/25], Step [50/1289], Loss: 0.1489
|
||||
Wed, 14 Sep 2022 17:31:59: Epoch [4/25], Step [100/1289], Loss: 0.0549
|
||||
Wed, 14 Sep 2022 17:32:00: Epoch [4/25], Step [150/1289], Loss: 0.0746
|
||||
Wed, 14 Sep 2022 17:32:00: Epoch [4/25], Step [200/1289], Loss: 0.0515
|
||||
Wed, 14 Sep 2022 17:32:00: Epoch [4/25], Step [250/1289], Loss: 0.1325
|
||||
Wed, 14 Sep 2022 17:32:00: Epoch [4/25], Step [300/1289], Loss: 0.1329
|
||||
Wed, 14 Sep 2022 17:32:00: Epoch [4/25], Step [350/1289], Loss: 0.1050
|
||||
Wed, 14 Sep 2022 17:32:01: Epoch [4/25], Step [400/1289], Loss: 0.1605
|
||||
Wed, 14 Sep 2022 17:32:01: Epoch [4/25], Step [450/1289], Loss: 0.1265
|
||||
Wed, 14 Sep 2022 17:32:01: Epoch [4/25], Step [500/1289], Loss: 0.2573
|
||||
Wed, 14 Sep 2022 17:32:01: Epoch [4/25], Step [550/1289], Loss: 0.0742
|
||||
Wed, 14 Sep 2022 17:32:01: Epoch [4/25], Step [600/1289], Loss: 0.2025
|
||||
Wed, 14 Sep 2022 17:32:02: Epoch [4/25], Step [650/1289], Loss: 0.0870
|
||||
Wed, 14 Sep 2022 17:32:02: Epoch [4/25], Step [700/1289], Loss: 0.1529
|
||||
Wed, 14 Sep 2022 17:32:02: Epoch [4/25], Step [750/1289], Loss: 0.0929
|
||||
Wed, 14 Sep 2022 17:32:02: Epoch [4/25], Step [800/1289], Loss: 0.2328
|
||||
Wed, 14 Sep 2022 17:32:02: Epoch [4/25], Step [850/1289], Loss: 0.0993
|
||||
Wed, 14 Sep 2022 17:32:03: Epoch [4/25], Step [900/1289], Loss: 0.1220
|
||||
Wed, 14 Sep 2022 17:32:03: Epoch [4/25], Step [950/1289], Loss: 0.1195
|
||||
Wed, 14 Sep 2022 17:32:03: Epoch [4/25], Step [1000/1289], Loss: 0.1374
|
||||
Wed, 14 Sep 2022 17:32:03: Epoch [4/25], Step [1050/1289], Loss: 0.0757
|
||||
Wed, 14 Sep 2022 17:32:03: Epoch [4/25], Step [1100/1289], Loss: 0.2469
|
||||
Wed, 14 Sep 2022 17:32:04: Epoch [4/25], Step [1150/1289], Loss: 0.3388
|
||||
Wed, 14 Sep 2022 17:32:04: Epoch [4/25], Step [1200/1289], Loss: 0.0580
|
||||
Wed, 14 Sep 2022 17:32:04: Epoch [4/25], Step [1250/1289], Loss: 0.0995
|
||||
Wed, 14 Sep 2022 17:32:04: Epoch [5/25], Step [50/1289], Loss: 0.0902
|
||||
Wed, 14 Sep 2022 17:32:04: Epoch [5/25], Step [100/1289], Loss: 0.2554
|
||||
Wed, 14 Sep 2022 17:32:05: Epoch [5/25], Step [150/1289], Loss: 0.1202
|
||||
Wed, 14 Sep 2022 17:32:05: Epoch [5/25], Step [200/1289], Loss: 0.2236
|
||||
Wed, 14 Sep 2022 17:32:05: Epoch [5/25], Step [250/1289], Loss: 0.1228
|
||||
Wed, 14 Sep 2022 17:32:05: Epoch [5/25], Step [300/1289], Loss: 0.2914
|
||||
Wed, 14 Sep 2022 17:32:05: Epoch [5/25], Step [350/1289], Loss: 0.0664
|
||||
Wed, 14 Sep 2022 17:32:06: Epoch [5/25], Step [400/1289], Loss: 0.0769
|
||||
Wed, 14 Sep 2022 17:32:06: Epoch [5/25], Step [450/1289], Loss: 0.1036
|
||||
Wed, 14 Sep 2022 17:32:06: Epoch [5/25], Step [500/1289], Loss: 0.1496
|
||||
Wed, 14 Sep 2022 17:32:06: Epoch [5/25], Step [550/1289], Loss: 0.1829
|
||||
Wed, 14 Sep 2022 17:32:06: Epoch [5/25], Step [600/1289], Loss: 0.0631
|
||||
Wed, 14 Sep 2022 17:32:07: Epoch [5/25], Step [650/1289], Loss: 0.1339
|
||||
Wed, 14 Sep 2022 17:32:07: Epoch [5/25], Step [700/1289], Loss: 0.1630
|
||||
Wed, 14 Sep 2022 17:32:07: Epoch [5/25], Step [750/1289], Loss: 0.1224
|
||||
Wed, 14 Sep 2022 17:32:07: Epoch [5/25], Step [800/1289], Loss: 0.1132
|
||||
Wed, 14 Sep 2022 17:32:07: Epoch [5/25], Step [850/1289], Loss: 0.0937
|
||||
Wed, 14 Sep 2022 17:32:08: Epoch [5/25], Step [900/1289], Loss: 0.1498
|
||||
Wed, 14 Sep 2022 17:32:08: Epoch [5/25], Step [950/1289], Loss: 0.1224
|
||||
Wed, 14 Sep 2022 17:32:08: Epoch [5/25], Step [1000/1289], Loss: 0.0682
|
||||
Wed, 14 Sep 2022 17:32:08: Epoch [5/25], Step [1050/1289], Loss: 0.0775
|
||||
Wed, 14 Sep 2022 17:32:08: Epoch [5/25], Step [1100/1289], Loss: 0.0623
|
||||
Wed, 14 Sep 2022 17:32:09: Epoch [5/25], Step [1150/1289], Loss: 0.1318
|
||||
Wed, 14 Sep 2022 17:32:09: Epoch [5/25], Step [1200/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 17:32:09: Epoch [5/25], Step [1250/1289], Loss: 0.1033
|
||||
Wed, 14 Sep 2022 17:32:09: Epoch [6/25], Step [50/1289], Loss: 0.1104
|
||||
Wed, 14 Sep 2022 17:32:10: Epoch [6/25], Step [100/1289], Loss: 0.1816
|
||||
Wed, 14 Sep 2022 17:32:10: Epoch [6/25], Step [150/1289], Loss: 0.1207
|
||||
Wed, 14 Sep 2022 17:32:10: Epoch [6/25], Step [200/1289], Loss: 0.1829
|
||||
Wed, 14 Sep 2022 17:32:10: Epoch [6/25], Step [250/1289], Loss: 0.0723
|
||||
Wed, 14 Sep 2022 17:32:10: Epoch [6/25], Step [300/1289], Loss: 0.1290
|
||||
Wed, 14 Sep 2022 17:32:11: Epoch [6/25], Step [350/1289], Loss: 0.1643
|
||||
Wed, 14 Sep 2022 17:32:11: Epoch [6/25], Step [400/1289], Loss: 0.0593
|
||||
Wed, 14 Sep 2022 17:32:11: Epoch [6/25], Step [450/1289], Loss: 0.1421
|
||||
Wed, 14 Sep 2022 17:32:11: Epoch [6/25], Step [500/1289], Loss: 0.1747
|
||||
Wed, 14 Sep 2022 17:32:11: Epoch [6/25], Step [550/1289], Loss: 0.2097
|
||||
Wed, 14 Sep 2022 17:32:12: Epoch [6/25], Step [600/1289], Loss: 0.2389
|
||||
Wed, 14 Sep 2022 17:32:12: Epoch [6/25], Step [650/1289], Loss: 0.1725
|
||||
Wed, 14 Sep 2022 17:32:12: Epoch [6/25], Step [700/1289], Loss: 0.2709
|
||||
Wed, 14 Sep 2022 17:32:12: Epoch [6/25], Step [750/1289], Loss: 0.0877
|
||||
Wed, 14 Sep 2022 17:32:12: Epoch [6/25], Step [800/1289], Loss: 0.1239
|
||||
Wed, 14 Sep 2022 17:32:13: Epoch [6/25], Step [850/1289], Loss: 0.0356
|
||||
Wed, 14 Sep 2022 17:32:13: Epoch [6/25], Step [900/1289], Loss: 0.1375
|
||||
Wed, 14 Sep 2022 17:32:13: Epoch [6/25], Step [950/1289], Loss: 0.0899
|
||||
Wed, 14 Sep 2022 17:32:13: Epoch [6/25], Step [1000/1289], Loss: 0.0549
|
||||
Wed, 14 Sep 2022 17:32:13: Epoch [6/25], Step [1050/1289], Loss: 0.0760
|
||||
Wed, 14 Sep 2022 17:32:14: Epoch [6/25], Step [1100/1289], Loss: 0.2083
|
||||
Wed, 14 Sep 2022 17:32:14: Epoch [6/25], Step [1150/1289], Loss: 0.1917
|
||||
Wed, 14 Sep 2022 17:32:14: Epoch [6/25], Step [1200/1289], Loss: 0.1259
|
||||
Wed, 14 Sep 2022 17:32:14: Epoch [6/25], Step [1250/1289], Loss: 0.1819
|
||||
Wed, 14 Sep 2022 17:32:14: Epoch [7/25], Step [50/1289], Loss: 0.1048
|
||||
Wed, 14 Sep 2022 17:32:15: Epoch [7/25], Step [100/1289], Loss: 0.1256
|
||||
Wed, 14 Sep 2022 17:32:15: Epoch [7/25], Step [150/1289], Loss: 0.2132
|
||||
Wed, 14 Sep 2022 17:32:15: Epoch [7/25], Step [200/1289], Loss: 0.2176
|
||||
Wed, 14 Sep 2022 17:32:15: Epoch [7/25], Step [250/1289], Loss: 0.0570
|
||||
Wed, 14 Sep 2022 17:32:15: Epoch [7/25], Step [300/1289], Loss: 0.1402
|
||||
Wed, 14 Sep 2022 17:32:16: Epoch [7/25], Step [350/1289], Loss: 0.0615
|
||||
Wed, 14 Sep 2022 17:32:16: Epoch [7/25], Step [400/1289], Loss: 0.1517
|
||||
Wed, 14 Sep 2022 17:32:16: Epoch [7/25], Step [450/1289], Loss: 0.0563
|
||||
Wed, 14 Sep 2022 17:32:16: Epoch [7/25], Step [500/1289], Loss: 0.1179
|
||||
Wed, 14 Sep 2022 17:32:16: Epoch [7/25], Step [550/1289], Loss: 0.0600
|
||||
Wed, 14 Sep 2022 17:32:17: Epoch [7/25], Step [600/1289], Loss: 0.0540
|
||||
Wed, 14 Sep 2022 17:32:17: Epoch [7/25], Step [650/1289], Loss: 0.2643
|
||||
Wed, 14 Sep 2022 17:32:17: Epoch [7/25], Step [700/1289], Loss: 0.1068
|
||||
Wed, 14 Sep 2022 17:32:17: Epoch [7/25], Step [750/1289], Loss: 0.1890
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [800/1289], Loss: 0.0678
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [850/1289], Loss: 0.1130
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [900/1289], Loss: 0.1805
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [950/1289], Loss: 0.1245
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [1000/1289], Loss: 0.1009
|
||||
Wed, 14 Sep 2022 17:32:18: Epoch [7/25], Step [1050/1289], Loss: 0.1273
|
||||
Wed, 14 Sep 2022 17:32:19: Epoch [7/25], Step [1100/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 17:32:19: Epoch [7/25], Step [1150/1289], Loss: 0.1389
|
||||
Wed, 14 Sep 2022 17:32:19: Epoch [7/25], Step [1200/1289], Loss: 0.0579
|
||||
Wed, 14 Sep 2022 17:32:19: Epoch [7/25], Step [1250/1289], Loss: 0.1592
|
||||
Wed, 14 Sep 2022 17:32:20: Epoch [8/25], Step [50/1289], Loss: 0.1091
|
||||
Wed, 14 Sep 2022 17:32:20: Epoch [8/25], Step [100/1289], Loss: 0.1091
|
||||
Wed, 14 Sep 2022 17:32:20: Epoch [8/25], Step [150/1289], Loss: 0.0729
|
||||
Wed, 14 Sep 2022 17:32:20: Epoch [8/25], Step [200/1289], Loss: 0.1257
|
||||
Wed, 14 Sep 2022 17:32:20: Epoch [8/25], Step [250/1289], Loss: 0.0265
|
||||
Wed, 14 Sep 2022 17:32:21: Epoch [8/25], Step [300/1289], Loss: 0.0791
|
||||
Wed, 14 Sep 2022 17:32:21: Epoch [8/25], Step [350/1289], Loss: 0.0682
|
||||
Wed, 14 Sep 2022 17:32:21: Epoch [8/25], Step [400/1289], Loss: 0.0726
|
||||
Wed, 14 Sep 2022 17:32:21: Epoch [8/25], Step [450/1289], Loss: 0.0925
|
||||
Wed, 14 Sep 2022 17:32:21: Epoch [8/25], Step [500/1289], Loss: 0.1801
|
||||
Wed, 14 Sep 2022 17:32:22: Epoch [8/25], Step [550/1289], Loss: 0.1397
|
||||
Wed, 14 Sep 2022 17:32:22: Epoch [8/25], Step [600/1289], Loss: 0.1333
|
||||
Wed, 14 Sep 2022 17:32:22: Epoch [8/25], Step [650/1289], Loss: 0.1027
|
||||
Wed, 14 Sep 2022 17:32:22: Epoch [8/25], Step [700/1289], Loss: 0.0860
|
||||
Wed, 14 Sep 2022 17:32:22: Epoch [8/25], Step [750/1289], Loss: 0.0784
|
||||
Wed, 14 Sep 2022 17:32:23: Epoch [8/25], Step [800/1289], Loss: 0.1041
|
||||
Wed, 14 Sep 2022 17:32:23: Epoch [8/25], Step [850/1289], Loss: 0.0314
|
||||
Wed, 14 Sep 2022 17:32:23: Epoch [8/25], Step [900/1289], Loss: 0.0425
|
||||
Wed, 14 Sep 2022 17:32:23: Epoch [8/25], Step [950/1289], Loss: 0.0549
|
||||
Wed, 14 Sep 2022 17:32:23: Epoch [8/25], Step [1000/1289], Loss: 0.1260
|
||||
Wed, 14 Sep 2022 17:32:24: Epoch [8/25], Step [1050/1289], Loss: 0.0989
|
||||
Wed, 14 Sep 2022 17:32:24: Epoch [8/25], Step [1100/1289], Loss: 0.1272
|
||||
Wed, 14 Sep 2022 17:32:24: Epoch [8/25], Step [1150/1289], Loss: 0.0831
|
||||
Wed, 14 Sep 2022 17:32:24: Epoch [8/25], Step [1200/1289], Loss: 0.1584
|
||||
Wed, 14 Sep 2022 17:32:24: Epoch [8/25], Step [1250/1289], Loss: 0.1817
|
||||
Wed, 14 Sep 2022 17:32:25: Epoch [9/25], Step [50/1289], Loss: 0.1593
|
||||
Wed, 14 Sep 2022 17:32:25: Epoch [9/25], Step [100/1289], Loss: 0.1042
|
||||
Wed, 14 Sep 2022 17:32:25: Epoch [9/25], Step [150/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 17:32:25: Epoch [9/25], Step [200/1289], Loss: 0.1483
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [250/1289], Loss: 0.0388
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [300/1289], Loss: 0.1088
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [350/1289], Loss: 0.0397
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [400/1289], Loss: 0.1422
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [450/1289], Loss: 0.0747
|
||||
Wed, 14 Sep 2022 17:32:26: Epoch [9/25], Step [500/1289], Loss: 0.0759
|
||||
Wed, 14 Sep 2022 17:32:27: Epoch [9/25], Step [550/1289], Loss: 0.1110
|
||||
Wed, 14 Sep 2022 17:32:27: Epoch [9/25], Step [600/1289], Loss: 0.1195
|
||||
Wed, 14 Sep 2022 17:32:27: Epoch [9/25], Step [650/1289], Loss: 0.0931
|
||||
Wed, 14 Sep 2022 17:32:27: Epoch [9/25], Step [700/1289], Loss: 0.1544
|
||||
Wed, 14 Sep 2022 17:32:27: Epoch [9/25], Step [750/1289], Loss: 0.0776
|
||||
Wed, 14 Sep 2022 17:32:28: Epoch [9/25], Step [800/1289], Loss: 0.1420
|
||||
Wed, 14 Sep 2022 17:32:28: Epoch [9/25], Step [850/1289], Loss: 0.1636
|
||||
Wed, 14 Sep 2022 17:32:28: Epoch [9/25], Step [900/1289], Loss: 0.0803
|
||||
Wed, 14 Sep 2022 17:32:28: Epoch [9/25], Step [950/1289], Loss: 0.0784
|
||||
Wed, 14 Sep 2022 17:32:28: Epoch [9/25], Step [1000/1289], Loss: 0.0224
|
||||
Wed, 14 Sep 2022 17:32:29: Epoch [9/25], Step [1050/1289], Loss: 0.0998
|
||||
Wed, 14 Sep 2022 17:32:29: Epoch [9/25], Step [1100/1289], Loss: 0.0583
|
||||
Wed, 14 Sep 2022 17:32:29: Epoch [9/25], Step [1150/1289], Loss: 0.1440
|
||||
Wed, 14 Sep 2022 17:32:29: Epoch [9/25], Step [1200/1289], Loss: 0.0828
|
||||
Wed, 14 Sep 2022 17:32:29: Epoch [9/25], Step [1250/1289], Loss: 0.0609
|
||||
Wed, 14 Sep 2022 17:32:30: Epoch [10/25], Step [50/1289], Loss: 0.1610
|
||||
Wed, 14 Sep 2022 17:32:30: Epoch [10/25], Step [100/1289], Loss: 0.1713
|
||||
Wed, 14 Sep 2022 17:32:30: Epoch [10/25], Step [150/1289], Loss: 0.2554
|
||||
Wed, 14 Sep 2022 17:32:30: Epoch [10/25], Step [200/1289], Loss: 0.1474
|
||||
Wed, 14 Sep 2022 17:32:31: Epoch [10/25], Step [250/1289], Loss: 0.0976
|
||||
Wed, 14 Sep 2022 17:32:31: Epoch [10/25], Step [300/1289], Loss: 0.0705
|
||||
Wed, 14 Sep 2022 17:32:31: Epoch [10/25], Step [350/1289], Loss: 0.1416
|
||||
Wed, 14 Sep 2022 17:32:31: Epoch [10/25], Step [400/1289], Loss: 0.0623
|
||||
Wed, 14 Sep 2022 17:32:31: Epoch [10/25], Step [450/1289], Loss: 0.1184
|
||||
Wed, 14 Sep 2022 17:32:32: Epoch [10/25], Step [500/1289], Loss: 0.1291
|
||||
Wed, 14 Sep 2022 17:32:32: Epoch [10/25], Step [550/1289], Loss: 0.0635
|
||||
Wed, 14 Sep 2022 17:32:32: Epoch [10/25], Step [600/1289], Loss: 0.0602
|
||||
Wed, 14 Sep 2022 17:32:32: Epoch [10/25], Step [650/1289], Loss: 0.0521
|
||||
Wed, 14 Sep 2022 17:32:32: Epoch [10/25], Step [700/1289], Loss: 0.0860
|
||||
Wed, 14 Sep 2022 17:32:33: Epoch [10/25], Step [750/1289], Loss: 0.1636
|
||||
Wed, 14 Sep 2022 17:32:33: Epoch [10/25], Step [800/1289], Loss: 0.1370
|
||||
Wed, 14 Sep 2022 17:32:33: Epoch [10/25], Step [850/1289], Loss: 0.0342
|
||||
Wed, 14 Sep 2022 17:32:33: Epoch [10/25], Step [900/1289], Loss: 0.1139
|
||||
Wed, 14 Sep 2022 17:32:33: Epoch [10/25], Step [950/1289], Loss: 0.0751
|
||||
Wed, 14 Sep 2022 17:32:34: Epoch [10/25], Step [1000/1289], Loss: 0.2152
|
||||
Wed, 14 Sep 2022 17:32:34: Epoch [10/25], Step [1050/1289], Loss: 0.0693
|
||||
Wed, 14 Sep 2022 17:32:34: Epoch [10/25], Step [1100/1289], Loss: 0.0813
|
||||
Wed, 14 Sep 2022 17:32:34: Epoch [10/25], Step [1150/1289], Loss: 0.0679
|
||||
Wed, 14 Sep 2022 17:32:35: Epoch [10/25], Step [1200/1289], Loss: 0.1023
|
||||
Wed, 14 Sep 2022 17:32:35: Epoch [10/25], Step [1250/1289], Loss: 0.0335
|
||||
Wed, 14 Sep 2022 17:32:35: Epoch [11/25], Step [50/1289], Loss: 0.0811
|
||||
Wed, 14 Sep 2022 17:32:36: Epoch [11/25], Step [100/1289], Loss: 0.1601
|
||||
Wed, 14 Sep 2022 17:32:36: Epoch [11/25], Step [150/1289], Loss: 0.1143
|
||||
Wed, 14 Sep 2022 17:32:36: Epoch [11/25], Step [200/1289], Loss: 0.1605
|
||||
Wed, 14 Sep 2022 17:32:36: Epoch [11/25], Step [250/1289], Loss: 0.0402
|
||||
Wed, 14 Sep 2022 17:32:36: Epoch [11/25], Step [300/1289], Loss: 0.0703
|
||||
Wed, 14 Sep 2022 17:32:37: Epoch [11/25], Step [350/1289], Loss: 0.0418
|
||||
Wed, 14 Sep 2022 17:32:37: Epoch [11/25], Step [400/1289], Loss: 0.0813
|
||||
Wed, 14 Sep 2022 17:32:37: Epoch [11/25], Step [450/1289], Loss: 0.1613
|
||||
Wed, 14 Sep 2022 17:32:37: Epoch [11/25], Step [500/1289], Loss: 0.0979
|
||||
Wed, 14 Sep 2022 17:32:38: Epoch [11/25], Step [550/1289], Loss: 0.1028
|
||||
Wed, 14 Sep 2022 17:32:38: Epoch [11/25], Step [600/1289], Loss: 0.0882
|
||||
Wed, 14 Sep 2022 17:32:38: Epoch [11/25], Step [650/1289], Loss: 0.0947
|
||||
Wed, 14 Sep 2022 17:32:38: Epoch [11/25], Step [700/1289], Loss: 0.0768
|
||||
Wed, 14 Sep 2022 17:32:38: Epoch [11/25], Step [750/1289], Loss: 0.1793
|
||||
Wed, 14 Sep 2022 17:32:39: Epoch [11/25], Step [800/1289], Loss: 0.0653
|
||||
Wed, 14 Sep 2022 17:32:39: Epoch [11/25], Step [850/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 17:32:39: Epoch [11/25], Step [900/1289], Loss: 0.1020
|
||||
Wed, 14 Sep 2022 17:32:39: Epoch [11/25], Step [950/1289], Loss: 0.1176
|
||||
Wed, 14 Sep 2022 17:32:39: Epoch [11/25], Step [1000/1289], Loss: 0.1921
|
||||
Wed, 14 Sep 2022 17:32:40: Epoch [11/25], Step [1050/1289], Loss: 0.0965
|
||||
Wed, 14 Sep 2022 17:32:40: Epoch [11/25], Step [1100/1289], Loss: 0.1094
|
||||
Wed, 14 Sep 2022 17:32:40: Epoch [11/25], Step [1150/1289], Loss: 0.1102
|
||||
Wed, 14 Sep 2022 17:32:40: Epoch [11/25], Step [1200/1289], Loss: 0.0495
|
||||
Wed, 14 Sep 2022 17:32:40: Epoch [11/25], Step [1250/1289], Loss: 0.0769
|
||||
Wed, 14 Sep 2022 17:32:41: Epoch [12/25], Step [50/1289], Loss: 0.2089
|
||||
Wed, 14 Sep 2022 17:32:41: Epoch [12/25], Step [100/1289], Loss: 0.0580
|
||||
Wed, 14 Sep 2022 17:32:41: Epoch [12/25], Step [150/1289], Loss: 0.1825
|
||||
Wed, 14 Sep 2022 17:32:41: Epoch [12/25], Step [200/1289], Loss: 0.1815
|
||||
Wed, 14 Sep 2022 17:32:42: Epoch [12/25], Step [250/1289], Loss: 0.1277
|
||||
Wed, 14 Sep 2022 17:32:42: Epoch [12/25], Step [300/1289], Loss: 0.1557
|
||||
Wed, 14 Sep 2022 17:32:42: Epoch [12/25], Step [350/1289], Loss: 0.0882
|
||||
Wed, 14 Sep 2022 17:32:42: Epoch [12/25], Step [400/1289], Loss: 0.0997
|
||||
Wed, 14 Sep 2022 17:32:42: Epoch [12/25], Step [450/1289], Loss: 0.0219
|
||||
Wed, 14 Sep 2022 17:32:43: Epoch [12/25], Step [500/1289], Loss: 0.0340
|
||||
Wed, 14 Sep 2022 17:32:43: Epoch [12/25], Step [550/1289], Loss: 0.1277
|
||||
Wed, 14 Sep 2022 17:32:43: Epoch [12/25], Step [600/1289], Loss: 0.1374
|
||||
Wed, 14 Sep 2022 17:32:43: Epoch [12/25], Step [650/1289], Loss: 0.0694
|
||||
Wed, 14 Sep 2022 17:32:43: Epoch [12/25], Step [700/1289], Loss: 0.0942
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [750/1289], Loss: 0.0819
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [800/1289], Loss: 0.1508
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [850/1289], Loss: 0.0457
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [900/1289], Loss: 0.1691
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [950/1289], Loss: 0.1119
|
||||
Wed, 14 Sep 2022 17:32:44: Epoch [12/25], Step [1000/1289], Loss: 0.1064
|
||||
Wed, 14 Sep 2022 17:32:45: Epoch [12/25], Step [1050/1289], Loss: 0.1030
|
||||
Wed, 14 Sep 2022 17:32:45: Epoch [12/25], Step [1100/1289], Loss: 0.0432
|
||||
Wed, 14 Sep 2022 17:32:45: Epoch [12/25], Step [1150/1289], Loss: 0.0599
|
||||
Wed, 14 Sep 2022 17:32:45: Epoch [12/25], Step [1200/1289], Loss: 0.0226
|
||||
Wed, 14 Sep 2022 17:32:45: Epoch [12/25], Step [1250/1289], Loss: 0.0590
|
||||
Wed, 14 Sep 2022 17:32:46: Epoch [13/25], Step [50/1289], Loss: 0.0362
|
||||
Wed, 14 Sep 2022 17:32:46: Epoch [13/25], Step [100/1289], Loss: 0.1848
|
||||
Wed, 14 Sep 2022 17:32:46: Epoch [13/25], Step [150/1289], Loss: 0.0460
|
||||
Wed, 14 Sep 2022 17:32:46: Epoch [13/25], Step [200/1289], Loss: 0.0351
|
||||
Wed, 14 Sep 2022 17:32:47: Epoch [13/25], Step [250/1289], Loss: 0.0218
|
||||
Wed, 14 Sep 2022 17:32:47: Epoch [13/25], Step [300/1289], Loss: 0.0273
|
||||
Wed, 14 Sep 2022 17:32:47: Epoch [13/25], Step [350/1289], Loss: 0.0401
|
||||
Wed, 14 Sep 2022 17:32:47: Epoch [13/25], Step [400/1289], Loss: 0.1162
|
||||
Wed, 14 Sep 2022 17:32:47: Epoch [13/25], Step [450/1289], Loss: 0.0284
|
||||
Wed, 14 Sep 2022 17:32:48: Epoch [13/25], Step [500/1289], Loss: 0.1161
|
||||
Wed, 14 Sep 2022 17:32:48: Epoch [13/25], Step [550/1289], Loss: 0.0569
|
||||
Wed, 14 Sep 2022 17:32:48: Epoch [13/25], Step [600/1289], Loss: 0.0582
|
||||
Wed, 14 Sep 2022 17:32:48: Epoch [13/25], Step [650/1289], Loss: 0.0144
|
||||
Wed, 14 Sep 2022 17:32:48: Epoch [13/25], Step [700/1289], Loss: 0.0589
|
||||
Wed, 14 Sep 2022 17:32:49: Epoch [13/25], Step [750/1289], Loss: 0.1608
|
||||
Wed, 14 Sep 2022 17:32:49: Epoch [13/25], Step [800/1289], Loss: 0.1188
|
||||
Wed, 14 Sep 2022 17:32:49: Epoch [13/25], Step [850/1289], Loss: 0.0622
|
||||
Wed, 14 Sep 2022 17:32:49: Epoch [13/25], Step [900/1289], Loss: 0.0975
|
||||
Wed, 14 Sep 2022 17:32:49: Epoch [13/25], Step [950/1289], Loss: 0.0633
|
||||
Wed, 14 Sep 2022 17:32:50: Epoch [13/25], Step [1000/1289], Loss: 0.0644
|
||||
Wed, 14 Sep 2022 17:32:50: Epoch [13/25], Step [1050/1289], Loss: 0.1117
|
||||
Wed, 14 Sep 2022 17:32:50: Epoch [13/25], Step [1100/1289], Loss: 0.1229
|
||||
Wed, 14 Sep 2022 17:32:50: Epoch [13/25], Step [1150/1289], Loss: 0.1765
|
||||
Wed, 14 Sep 2022 17:32:51: Epoch [13/25], Step [1200/1289], Loss: 0.1133
|
||||
Wed, 14 Sep 2022 17:32:51: Epoch [13/25], Step [1250/1289], Loss: 0.0639
|
||||
Wed, 14 Sep 2022 17:32:51: Epoch [14/25], Step [50/1289], Loss: 0.0974
|
||||
Wed, 14 Sep 2022 17:32:51: Epoch [14/25], Step [100/1289], Loss: 0.0868
|
||||
Wed, 14 Sep 2022 17:32:52: Epoch [14/25], Step [150/1289], Loss: 0.0876
|
||||
Wed, 14 Sep 2022 17:32:52: Epoch [14/25], Step [200/1289], Loss: 0.0963
|
||||
Wed, 14 Sep 2022 17:32:52: Epoch [14/25], Step [250/1289], Loss: 0.0316
|
||||
Wed, 14 Sep 2022 17:32:52: Epoch [14/25], Step [300/1289], Loss: 0.0373
|
||||
Wed, 14 Sep 2022 17:32:52: Epoch [14/25], Step [350/1289], Loss: 0.1282
|
||||
Wed, 14 Sep 2022 17:32:53: Epoch [14/25], Step [400/1289], Loss: 0.0537
|
||||
Wed, 14 Sep 2022 17:32:53: Epoch [14/25], Step [450/1289], Loss: 0.1024
|
||||
Wed, 14 Sep 2022 17:32:53: Epoch [14/25], Step [500/1289], Loss: 0.1540
|
||||
Wed, 14 Sep 2022 17:32:53: Epoch [14/25], Step [550/1289], Loss: 0.0677
|
||||
Wed, 14 Sep 2022 17:32:53: Epoch [14/25], Step [600/1289], Loss: 0.0437
|
||||
Wed, 14 Sep 2022 17:32:54: Epoch [14/25], Step [650/1289], Loss: 0.1008
|
||||
Wed, 14 Sep 2022 17:32:54: Epoch [14/25], Step [700/1289], Loss: 0.0575
|
||||
Wed, 14 Sep 2022 17:32:54: Epoch [14/25], Step [750/1289], Loss: 0.1030
|
||||
Wed, 14 Sep 2022 17:32:54: Epoch [14/25], Step [800/1289], Loss: 0.1601
|
||||
Wed, 14 Sep 2022 17:32:54: Epoch [14/25], Step [850/1289], Loss: 0.0571
|
||||
Wed, 14 Sep 2022 17:32:55: Epoch [14/25], Step [900/1289], Loss: 0.0611
|
||||
Wed, 14 Sep 2022 17:32:55: Epoch [14/25], Step [950/1289], Loss: 0.0401
|
||||
Wed, 14 Sep 2022 17:32:55: Epoch [14/25], Step [1000/1289], Loss: 0.0978
|
||||
Wed, 14 Sep 2022 17:32:55: Epoch [14/25], Step [1050/1289], Loss: 0.0934
|
||||
Wed, 14 Sep 2022 17:32:56: Epoch [14/25], Step [1100/1289], Loss: 0.0986
|
||||
Wed, 14 Sep 2022 17:32:56: Epoch [14/25], Step [1150/1289], Loss: 0.0659
|
||||
Wed, 14 Sep 2022 17:32:56: Epoch [14/25], Step [1200/1289], Loss: 0.0891
|
||||
Wed, 14 Sep 2022 17:32:56: Epoch [14/25], Step [1250/1289], Loss: 0.0943
|
||||
Wed, 14 Sep 2022 17:32:57: Epoch [15/25], Step [50/1289], Loss: 0.1098
|
||||
Wed, 14 Sep 2022 17:32:57: Epoch [15/25], Step [100/1289], Loss: 0.1401
|
||||
Wed, 14 Sep 2022 17:32:57: Epoch [15/25], Step [150/1289], Loss: 0.1621
|
||||
Wed, 14 Sep 2022 17:32:57: Epoch [15/25], Step [200/1289], Loss: 0.0759
|
||||
Wed, 14 Sep 2022 17:32:57: Epoch [15/25], Step [250/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 17:32:58: Epoch [15/25], Step [300/1289], Loss: 0.0972
|
||||
Wed, 14 Sep 2022 17:32:58: Epoch [15/25], Step [350/1289], Loss: 0.0436
|
||||
Wed, 14 Sep 2022 17:32:58: Epoch [15/25], Step [400/1289], Loss: 0.0374
|
||||
Wed, 14 Sep 2022 17:32:58: Epoch [15/25], Step [450/1289], Loss: 0.0849
|
||||
Wed, 14 Sep 2022 17:32:58: Epoch [15/25], Step [500/1289], Loss: 0.0307
|
||||
Wed, 14 Sep 2022 17:32:59: Epoch [15/25], Step [550/1289], Loss: 0.1064
|
||||
Wed, 14 Sep 2022 17:32:59: Epoch [15/25], Step [600/1289], Loss: 0.0560
|
||||
Wed, 14 Sep 2022 17:32:59: Epoch [15/25], Step [650/1289], Loss: 0.0916
|
||||
Wed, 14 Sep 2022 17:32:59: Epoch [15/25], Step [700/1289], Loss: 0.0614
|
||||
Wed, 14 Sep 2022 17:32:59: Epoch [15/25], Step [750/1289], Loss: 0.1393
|
||||
Wed, 14 Sep 2022 17:33:00: Epoch [15/25], Step [800/1289], Loss: 0.0822
|
||||
Wed, 14 Sep 2022 17:33:00: Epoch [15/25], Step [850/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 17:33:00: Epoch [15/25], Step [900/1289], Loss: 0.1165
|
||||
Wed, 14 Sep 2022 17:33:00: Epoch [15/25], Step [950/1289], Loss: 0.1113
|
||||
Wed, 14 Sep 2022 17:33:01: Epoch [15/25], Step [1000/1289], Loss: 0.1258
|
||||
Wed, 14 Sep 2022 17:33:01: Epoch [15/25], Step [1050/1289], Loss: 0.1684
|
||||
Wed, 14 Sep 2022 17:33:01: Epoch [15/25], Step [1100/1289], Loss: 0.0551
|
||||
Wed, 14 Sep 2022 17:33:01: Epoch [15/25], Step [1150/1289], Loss: 0.0980
|
||||
Wed, 14 Sep 2022 17:33:01: Epoch [15/25], Step [1200/1289], Loss: 0.0680
|
||||
Wed, 14 Sep 2022 17:33:02: Epoch [15/25], Step [1250/1289], Loss: 0.1485
|
||||
Wed, 14 Sep 2022 17:33:02: Epoch [16/25], Step [50/1289], Loss: 0.0380
|
||||
Wed, 14 Sep 2022 17:33:02: Epoch [16/25], Step [100/1289], Loss: 0.0420
|
||||
Wed, 14 Sep 2022 17:33:02: Epoch [16/25], Step [150/1289], Loss: 0.0364
|
||||
Wed, 14 Sep 2022 17:33:03: Epoch [16/25], Step [200/1289], Loss: 0.1034
|
||||
Wed, 14 Sep 2022 17:33:03: Epoch [16/25], Step [250/1289], Loss: 0.1172
|
||||
Wed, 14 Sep 2022 17:33:03: Epoch [16/25], Step [300/1289], Loss: 0.1854
|
||||
Wed, 14 Sep 2022 17:33:03: Epoch [16/25], Step [350/1289], Loss: 0.0211
|
||||
Wed, 14 Sep 2022 17:33:03: Epoch [16/25], Step [400/1289], Loss: 0.0786
|
||||
Wed, 14 Sep 2022 17:33:04: Epoch [16/25], Step [450/1289], Loss: 0.1031
|
||||
Wed, 14 Sep 2022 17:33:04: Epoch [16/25], Step [500/1289], Loss: 0.1636
|
||||
Wed, 14 Sep 2022 17:33:04: Epoch [16/25], Step [550/1289], Loss: 0.0793
|
||||
Wed, 14 Sep 2022 17:33:04: Epoch [16/25], Step [600/1289], Loss: 0.0784
|
||||
Wed, 14 Sep 2022 17:33:04: Epoch [16/25], Step [650/1289], Loss: 0.0284
|
||||
Wed, 14 Sep 2022 17:33:05: Epoch [16/25], Step [700/1289], Loss: 0.0845
|
||||
Wed, 14 Sep 2022 17:33:05: Epoch [16/25], Step [750/1289], Loss: 0.0622
|
||||
Wed, 14 Sep 2022 17:33:05: Epoch [16/25], Step [800/1289], Loss: 0.0753
|
||||
Wed, 14 Sep 2022 17:33:05: Epoch [16/25], Step [850/1289], Loss: 0.1034
|
||||
Wed, 14 Sep 2022 17:33:06: Epoch [16/25], Step [900/1289], Loss: 0.0836
|
||||
Wed, 14 Sep 2022 17:33:06: Epoch [16/25], Step [950/1289], Loss: 0.1057
|
||||
Wed, 14 Sep 2022 17:33:06: Epoch [16/25], Step [1000/1289], Loss: 0.0373
|
||||
Wed, 14 Sep 2022 17:33:06: Epoch [16/25], Step [1050/1289], Loss: 0.1344
|
||||
Wed, 14 Sep 2022 17:33:06: Epoch [16/25], Step [1100/1289], Loss: 0.0609
|
||||
Wed, 14 Sep 2022 17:33:07: Epoch [16/25], Step [1150/1289], Loss: 0.0335
|
||||
Wed, 14 Sep 2022 17:33:07: Epoch [16/25], Step [1200/1289], Loss: 0.0781
|
||||
Wed, 14 Sep 2022 17:33:07: Epoch [16/25], Step [1250/1289], Loss: 0.0892
|
||||
Wed, 14 Sep 2022 17:33:07: Epoch [17/25], Step [50/1289], Loss: 0.1423
|
||||
Wed, 14 Sep 2022 17:33:08: Epoch [17/25], Step [100/1289], Loss: 0.0467
|
||||
Wed, 14 Sep 2022 17:33:08: Epoch [17/25], Step [150/1289], Loss: 0.0388
|
||||
Wed, 14 Sep 2022 17:33:08: Epoch [17/25], Step [200/1289], Loss: 0.0252
|
||||
Wed, 14 Sep 2022 17:33:08: Epoch [17/25], Step [250/1289], Loss: 0.1508
|
||||
Wed, 14 Sep 2022 17:33:08: Epoch [17/25], Step [300/1289], Loss: 0.1155
|
||||
Wed, 14 Sep 2022 17:33:09: Epoch [17/25], Step [350/1289], Loss: 0.1472
|
||||
Wed, 14 Sep 2022 17:33:09: Epoch [17/25], Step [400/1289], Loss: 0.0425
|
||||
Wed, 14 Sep 2022 17:33:09: Epoch [17/25], Step [450/1289], Loss: 0.0688
|
||||
Wed, 14 Sep 2022 17:33:09: Epoch [17/25], Step [500/1289], Loss: 0.0615
|
||||
Wed, 14 Sep 2022 17:33:09: Epoch [17/25], Step [550/1289], Loss: 0.1157
|
||||
Wed, 14 Sep 2022 17:33:10: Epoch [17/25], Step [600/1289], Loss: 0.0285
|
||||
Wed, 14 Sep 2022 17:33:10: Epoch [17/25], Step [650/1289], Loss: 0.0977
|
||||
Wed, 14 Sep 2022 17:33:10: Epoch [17/25], Step [700/1289], Loss: 0.1552
|
||||
Wed, 14 Sep 2022 17:33:10: Epoch [17/25], Step [750/1289], Loss: 0.0829
|
||||
Wed, 14 Sep 2022 17:33:10: Epoch [17/25], Step [800/1289], Loss: 0.0283
|
||||
Wed, 14 Sep 2022 17:33:11: Epoch [17/25], Step [850/1289], Loss: 0.0569
|
||||
Wed, 14 Sep 2022 17:33:11: Epoch [17/25], Step [900/1289], Loss: 0.1083
|
||||
Wed, 14 Sep 2022 17:33:11: Epoch [17/25], Step [950/1289], Loss: 0.0158
|
||||
Wed, 14 Sep 2022 17:33:11: Epoch [17/25], Step [1000/1289], Loss: 0.0677
|
||||
Wed, 14 Sep 2022 17:33:11: Epoch [17/25], Step [1050/1289], Loss: 0.0772
|
||||
Wed, 14 Sep 2022 17:33:12: Epoch [17/25], Step [1100/1289], Loss: 0.0900
|
||||
Wed, 14 Sep 2022 17:33:12: Epoch [17/25], Step [1150/1289], Loss: 0.0640
|
||||
Wed, 14 Sep 2022 17:33:12: Epoch [17/25], Step [1200/1289], Loss: 0.0730
|
||||
Wed, 14 Sep 2022 17:33:12: Epoch [17/25], Step [1250/1289], Loss: 0.0601
|
||||
Wed, 14 Sep 2022 17:33:13: Epoch [18/25], Step [50/1289], Loss: 0.0974
|
||||
Wed, 14 Sep 2022 17:33:13: Epoch [18/25], Step [100/1289], Loss: 0.0763
|
||||
Wed, 14 Sep 2022 17:33:13: Epoch [18/25], Step [150/1289], Loss: 0.0672
|
||||
Wed, 14 Sep 2022 17:33:13: Epoch [18/25], Step [200/1289], Loss: 0.1193
|
||||
Wed, 14 Sep 2022 17:33:13: Epoch [18/25], Step [250/1289], Loss: 0.1176
|
||||
Wed, 14 Sep 2022 17:33:14: Epoch [18/25], Step [300/1289], Loss: 0.0509
|
||||
Wed, 14 Sep 2022 17:33:14: Epoch [18/25], Step [350/1289], Loss: 0.0576
|
||||
Wed, 14 Sep 2022 17:33:14: Epoch [18/25], Step [400/1289], Loss: 0.0841
|
||||
Wed, 14 Sep 2022 17:33:14: Epoch [18/25], Step [450/1289], Loss: 0.0406
|
||||
Wed, 14 Sep 2022 17:33:15: Epoch [18/25], Step [500/1289], Loss: 0.0909
|
||||
Wed, 14 Sep 2022 17:33:15: Epoch [18/25], Step [550/1289], Loss: 0.0358
|
||||
Wed, 14 Sep 2022 17:33:15: Epoch [18/25], Step [600/1289], Loss: 0.0272
|
||||
Wed, 14 Sep 2022 17:33:15: Epoch [18/25], Step [650/1289], Loss: 0.0887
|
||||
Wed, 14 Sep 2022 17:33:15: Epoch [18/25], Step [700/1289], Loss: 0.1472
|
||||
Wed, 14 Sep 2022 17:33:16: Epoch [18/25], Step [750/1289], Loss: 0.1201
|
||||
Wed, 14 Sep 2022 17:33:16: Epoch [18/25], Step [800/1289], Loss: 0.0407
|
||||
Wed, 14 Sep 2022 17:33:16: Epoch [18/25], Step [850/1289], Loss: 0.0626
|
||||
Wed, 14 Sep 2022 17:33:16: Epoch [18/25], Step [900/1289], Loss: 0.1144
|
||||
Wed, 14 Sep 2022 17:33:16: Epoch [18/25], Step [950/1289], Loss: 0.1255
|
||||
Wed, 14 Sep 2022 17:33:17: Epoch [18/25], Step [1000/1289], Loss: 0.0306
|
||||
Wed, 14 Sep 2022 17:33:17: Epoch [18/25], Step [1050/1289], Loss: 0.0311
|
||||
Wed, 14 Sep 2022 17:33:17: Epoch [18/25], Step [1100/1289], Loss: 0.0617
|
||||
Wed, 14 Sep 2022 17:33:17: Epoch [18/25], Step [1150/1289], Loss: 0.0530
|
||||
Wed, 14 Sep 2022 17:33:17: Epoch [18/25], Step [1200/1289], Loss: 0.0185
|
||||
Wed, 14 Sep 2022 17:33:18: Epoch [18/25], Step [1250/1289], Loss: 0.0578
|
||||
Wed, 14 Sep 2022 17:33:18: Epoch [19/25], Step [50/1289], Loss: 0.0636
|
||||
Wed, 14 Sep 2022 17:33:18: Epoch [19/25], Step [100/1289], Loss: 0.0137
|
||||
Wed, 14 Sep 2022 17:33:18: Epoch [19/25], Step [150/1289], Loss: 0.0240
|
||||
Wed, 14 Sep 2022 17:33:19: Epoch [19/25], Step [200/1289], Loss: 0.0876
|
||||
Wed, 14 Sep 2022 17:33:19: Epoch [19/25], Step [250/1289], Loss: 0.0571
|
||||
Wed, 14 Sep 2022 17:33:19: Epoch [19/25], Step [300/1289], Loss: 0.0150
|
||||
Wed, 14 Sep 2022 17:33:19: Epoch [19/25], Step [350/1289], Loss: 0.0541
|
||||
Wed, 14 Sep 2022 17:33:20: Epoch [19/25], Step [400/1289], Loss: 0.0125
|
||||
Wed, 14 Sep 2022 17:33:20: Epoch [19/25], Step [450/1289], Loss: 0.0423
|
||||
Wed, 14 Sep 2022 17:33:20: Epoch [19/25], Step [500/1289], Loss: 0.0608
|
||||
Wed, 14 Sep 2022 17:33:20: Epoch [19/25], Step [550/1289], Loss: 0.1181
|
||||
Wed, 14 Sep 2022 17:33:20: Epoch [19/25], Step [600/1289], Loss: 0.0325
|
||||
Wed, 14 Sep 2022 17:33:21: Epoch [19/25], Step [650/1289], Loss: 0.0589
|
||||
Wed, 14 Sep 2022 17:33:21: Epoch [19/25], Step [700/1289], Loss: 0.0739
|
||||
Wed, 14 Sep 2022 17:33:21: Epoch [19/25], Step [750/1289], Loss: 0.0446
|
||||
Wed, 14 Sep 2022 17:33:21: Epoch [19/25], Step [800/1289], Loss: 0.0547
|
||||
Wed, 14 Sep 2022 17:33:21: Epoch [19/25], Step [850/1289], Loss: 0.0133
|
||||
Wed, 14 Sep 2022 17:33:22: Epoch [19/25], Step [900/1289], Loss: 0.0308
|
||||
Wed, 14 Sep 2022 17:33:22: Epoch [19/25], Step [950/1289], Loss: 0.0928
|
||||
Wed, 14 Sep 2022 17:33:22: Epoch [19/25], Step [1000/1289], Loss: 0.0097
|
||||
Wed, 14 Sep 2022 17:33:22: Epoch [19/25], Step [1050/1289], Loss: 0.0514
|
||||
Wed, 14 Sep 2022 17:33:22: Epoch [19/25], Step [1100/1289], Loss: 0.0743
|
||||
Wed, 14 Sep 2022 17:33:23: Epoch [19/25], Step [1150/1289], Loss: 0.1459
|
||||
Wed, 14 Sep 2022 17:33:23: Epoch [19/25], Step [1200/1289], Loss: 0.0493
|
||||
Wed, 14 Sep 2022 17:33:23: Epoch [19/25], Step [1250/1289], Loss: 0.0337
|
||||
Wed, 14 Sep 2022 17:33:23: Epoch [20/25], Step [50/1289], Loss: 0.0676
|
||||
Wed, 14 Sep 2022 17:33:24: Epoch [20/25], Step [100/1289], Loss: 0.0355
|
||||
Wed, 14 Sep 2022 17:33:24: Epoch [20/25], Step [150/1289], Loss: 0.0893
|
||||
Wed, 14 Sep 2022 17:33:24: Epoch [20/25], Step [200/1289], Loss: 0.0223
|
||||
Wed, 14 Sep 2022 17:33:24: Epoch [20/25], Step [250/1289], Loss: 0.0638
|
||||
Wed, 14 Sep 2022 17:33:24: Epoch [20/25], Step [300/1289], Loss: 0.0714
|
||||
Wed, 14 Sep 2022 17:33:25: Epoch [20/25], Step [350/1289], Loss: 0.1322
|
||||
Wed, 14 Sep 2022 17:33:25: Epoch [20/25], Step [400/1289], Loss: 0.0731
|
||||
Wed, 14 Sep 2022 17:33:25: Epoch [20/25], Step [450/1289], Loss: 0.0454
|
||||
Wed, 14 Sep 2022 17:33:25: Epoch [20/25], Step [500/1289], Loss: 0.0300
|
||||
Wed, 14 Sep 2022 17:33:25: Epoch [20/25], Step [550/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 17:33:26: Epoch [20/25], Step [600/1289], Loss: 0.0344
|
||||
Wed, 14 Sep 2022 17:33:26: Epoch [20/25], Step [650/1289], Loss: 0.0829
|
||||
Wed, 14 Sep 2022 17:33:26: Epoch [20/25], Step [700/1289], Loss: 0.0324
|
||||
Wed, 14 Sep 2022 17:33:26: Epoch [20/25], Step [750/1289], Loss: 0.1012
|
||||
Wed, 14 Sep 2022 17:33:27: Epoch [20/25], Step [800/1289], Loss: 0.0760
|
||||
Wed, 14 Sep 2022 17:33:27: Epoch [20/25], Step [850/1289], Loss: 0.0702
|
||||
Wed, 14 Sep 2022 17:33:27: Epoch [20/25], Step [900/1289], Loss: 0.0575
|
||||
Wed, 14 Sep 2022 17:33:27: Epoch [20/25], Step [950/1289], Loss: 0.0748
|
||||
Wed, 14 Sep 2022 17:33:27: Epoch [20/25], Step [1000/1289], Loss: 0.0714
|
||||
Wed, 14 Sep 2022 17:33:28: Epoch [20/25], Step [1050/1289], Loss: 0.0436
|
||||
Wed, 14 Sep 2022 17:33:28: Epoch [20/25], Step [1100/1289], Loss: 0.0585
|
||||
Wed, 14 Sep 2022 17:33:28: Epoch [20/25], Step [1150/1289], Loss: 0.0278
|
||||
Wed, 14 Sep 2022 17:33:28: Epoch [20/25], Step [1200/1289], Loss: 0.1572
|
||||
Wed, 14 Sep 2022 17:33:28: Epoch [20/25], Step [1250/1289], Loss: 0.0140
|
||||
Wed, 14 Sep 2022 17:33:29: Epoch [21/25], Step [50/1289], Loss: 0.0206
|
||||
Wed, 14 Sep 2022 17:33:29: Epoch [21/25], Step [100/1289], Loss: 0.0600
|
||||
Wed, 14 Sep 2022 17:33:29: Epoch [21/25], Step [150/1289], Loss: 0.0180
|
||||
Wed, 14 Sep 2022 17:33:29: Epoch [21/25], Step [200/1289], Loss: 0.1074
|
||||
Wed, 14 Sep 2022 17:33:30: Epoch [21/25], Step [250/1289], Loss: 0.0620
|
||||
Wed, 14 Sep 2022 17:33:30: Epoch [21/25], Step [300/1289], Loss: 0.0672
|
||||
Wed, 14 Sep 2022 17:33:30: Epoch [21/25], Step [350/1289], Loss: 0.0353
|
||||
Wed, 14 Sep 2022 17:33:30: Epoch [21/25], Step [400/1289], Loss: 0.0703
|
||||
Wed, 14 Sep 2022 17:33:31: Epoch [21/25], Step [450/1289], Loss: 0.0711
|
||||
Wed, 14 Sep 2022 17:33:31: Epoch [21/25], Step [500/1289], Loss: 0.0508
|
||||
Wed, 14 Sep 2022 17:33:31: Epoch [21/25], Step [550/1289], Loss: 0.0639
|
||||
Wed, 14 Sep 2022 17:33:31: Epoch [21/25], Step [600/1289], Loss: 0.1244
|
||||
Wed, 14 Sep 2022 17:33:31: Epoch [21/25], Step [650/1289], Loss: 0.0306
|
||||
Wed, 14 Sep 2022 17:33:32: Epoch [21/25], Step [700/1289], Loss: 0.0372
|
||||
Wed, 14 Sep 2022 17:33:32: Epoch [21/25], Step [750/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 17:33:32: Epoch [21/25], Step [800/1289], Loss: 0.0658
|
||||
Wed, 14 Sep 2022 17:33:32: Epoch [21/25], Step [850/1289], Loss: 0.1340
|
||||
Wed, 14 Sep 2022 17:33:32: Epoch [21/25], Step [900/1289], Loss: 0.0399
|
||||
Wed, 14 Sep 2022 17:33:33: Epoch [21/25], Step [950/1289], Loss: 0.0323
|
||||
Wed, 14 Sep 2022 17:33:33: Epoch [21/25], Step [1000/1289], Loss: 0.0785
|
||||
Wed, 14 Sep 2022 17:33:33: Epoch [21/25], Step [1050/1289], Loss: 0.0619
|
||||
Wed, 14 Sep 2022 17:33:33: Epoch [21/25], Step [1100/1289], Loss: 0.0634
|
||||
Wed, 14 Sep 2022 17:33:33: Epoch [21/25], Step [1150/1289], Loss: 0.0785
|
||||
Wed, 14 Sep 2022 17:33:34: Epoch [21/25], Step [1200/1289], Loss: 0.0251
|
||||
Wed, 14 Sep 2022 17:33:34: Epoch [21/25], Step [1250/1289], Loss: 0.0488
|
||||
Wed, 14 Sep 2022 17:33:34: Epoch [22/25], Step [50/1289], Loss: 0.0219
|
||||
Wed, 14 Sep 2022 17:33:34: Epoch [22/25], Step [100/1289], Loss: 0.0950
|
||||
Wed, 14 Sep 2022 17:33:35: Epoch [22/25], Step [150/1289], Loss: 0.0179
|
||||
Wed, 14 Sep 2022 17:33:35: Epoch [22/25], Step [200/1289], Loss: 0.0586
|
||||
Wed, 14 Sep 2022 17:33:35: Epoch [22/25], Step [250/1289], Loss: 0.1261
|
||||
Wed, 14 Sep 2022 17:33:35: Epoch [22/25], Step [300/1289], Loss: 0.0671
|
||||
Wed, 14 Sep 2022 17:33:36: Epoch [22/25], Step [350/1289], Loss: 0.0896
|
||||
Wed, 14 Sep 2022 17:33:36: Epoch [22/25], Step [400/1289], Loss: 0.0820
|
||||
Wed, 14 Sep 2022 17:33:36: Epoch [22/25], Step [450/1289], Loss: 0.0864
|
||||
Wed, 14 Sep 2022 17:33:36: Epoch [22/25], Step [500/1289], Loss: 0.0422
|
||||
Wed, 14 Sep 2022 17:33:36: Epoch [22/25], Step [550/1289], Loss: 0.1064
|
||||
Wed, 14 Sep 2022 17:33:37: Epoch [22/25], Step [600/1289], Loss: 0.0211
|
||||
Wed, 14 Sep 2022 17:33:37: Epoch [22/25], Step [650/1289], Loss: 0.0916
|
||||
Wed, 14 Sep 2022 17:33:37: Epoch [22/25], Step [700/1289], Loss: 0.0238
|
||||
Wed, 14 Sep 2022 17:33:37: Epoch [22/25], Step [750/1289], Loss: 0.0577
|
||||
Wed, 14 Sep 2022 17:33:37: Epoch [22/25], Step [800/1289], Loss: 0.0920
|
||||
Wed, 14 Sep 2022 17:33:38: Epoch [22/25], Step [850/1289], Loss: 0.0574
|
||||
Wed, 14 Sep 2022 17:33:38: Epoch [22/25], Step [900/1289], Loss: 0.0417
|
||||
Wed, 14 Sep 2022 17:33:38: Epoch [22/25], Step [950/1289], Loss: 0.0113
|
||||
Wed, 14 Sep 2022 17:33:38: Epoch [22/25], Step [1000/1289], Loss: 0.0246
|
||||
Wed, 14 Sep 2022 17:33:38: Epoch [22/25], Step [1050/1289], Loss: 0.0261
|
||||
Wed, 14 Sep 2022 17:33:39: Epoch [22/25], Step [1100/1289], Loss: 0.0257
|
||||
Wed, 14 Sep 2022 17:33:39: Epoch [22/25], Step [1150/1289], Loss: 0.0805
|
||||
Wed, 14 Sep 2022 17:33:39: Epoch [22/25], Step [1200/1289], Loss: 0.0575
|
||||
Wed, 14 Sep 2022 17:33:39: Epoch [22/25], Step [1250/1289], Loss: 0.0561
|
||||
Wed, 14 Sep 2022 17:33:40: Epoch [23/25], Step [50/1289], Loss: 0.0221
|
||||
Wed, 14 Sep 2022 17:33:40: Epoch [23/25], Step [100/1289], Loss: 0.0927
|
||||
Wed, 14 Sep 2022 17:33:40: Epoch [23/25], Step [150/1289], Loss: 0.0491
|
||||
Wed, 14 Sep 2022 17:33:40: Epoch [23/25], Step [200/1289], Loss: 0.0658
|
||||
Wed, 14 Sep 2022 17:33:40: Epoch [23/25], Step [250/1289], Loss: 0.0358
|
||||
Wed, 14 Sep 2022 17:33:41: Epoch [23/25], Step [300/1289], Loss: 0.0681
|
||||
Wed, 14 Sep 2022 17:33:41: Epoch [23/25], Step [350/1289], Loss: 0.1424
|
||||
Wed, 14 Sep 2022 17:33:41: Epoch [23/25], Step [400/1289], Loss: 0.0600
|
||||
Wed, 14 Sep 2022 17:33:41: Epoch [23/25], Step [450/1289], Loss: 0.0746
|
||||
Wed, 14 Sep 2022 17:33:41: Epoch [23/25], Step [500/1289], Loss: 0.1390
|
||||
Wed, 14 Sep 2022 17:33:42: Epoch [23/25], Step [550/1289], Loss: 0.1182
|
||||
Wed, 14 Sep 2022 17:33:42: Epoch [23/25], Step [600/1289], Loss: 0.0363
|
||||
Wed, 14 Sep 2022 17:33:42: Epoch [23/25], Step [650/1289], Loss: 0.0476
|
||||
Wed, 14 Sep 2022 17:33:42: Epoch [23/25], Step [700/1289], Loss: 0.0317
|
||||
Wed, 14 Sep 2022 17:33:43: Epoch [23/25], Step [750/1289], Loss: 0.0710
|
||||
Wed, 14 Sep 2022 17:33:43: Epoch [23/25], Step [800/1289], Loss: 0.0113
|
||||
Wed, 14 Sep 2022 17:33:43: Epoch [23/25], Step [850/1289], Loss: 0.0254
|
||||
Wed, 14 Sep 2022 17:33:43: Epoch [23/25], Step [900/1289], Loss: 0.0520
|
||||
Wed, 14 Sep 2022 17:33:43: Epoch [23/25], Step [950/1289], Loss: 0.0232
|
||||
Wed, 14 Sep 2022 17:33:44: Epoch [23/25], Step [1000/1289], Loss: 0.0367
|
||||
Wed, 14 Sep 2022 17:33:44: Epoch [23/25], Step [1050/1289], Loss: 0.0401
|
||||
Wed, 14 Sep 2022 17:33:44: Epoch [23/25], Step [1100/1289], Loss: 0.0215
|
||||
Wed, 14 Sep 2022 17:33:44: Epoch [23/25], Step [1150/1289], Loss: 0.0254
|
||||
Wed, 14 Sep 2022 17:33:44: Epoch [23/25], Step [1200/1289], Loss: 0.0201
|
||||
Wed, 14 Sep 2022 17:33:45: Epoch [23/25], Step [1250/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 17:33:45: Epoch [24/25], Step [50/1289], Loss: 0.0298
|
||||
Wed, 14 Sep 2022 17:33:45: Epoch [24/25], Step [100/1289], Loss: 0.0628
|
||||
Wed, 14 Sep 2022 17:33:45: Epoch [24/25], Step [150/1289], Loss: 0.0880
|
||||
Wed, 14 Sep 2022 17:33:46: Epoch [24/25], Step [200/1289], Loss: 0.0272
|
||||
Wed, 14 Sep 2022 17:33:46: Epoch [24/25], Step [250/1289], Loss: 0.0252
|
||||
Wed, 14 Sep 2022 17:33:46: Epoch [24/25], Step [300/1289], Loss: 0.0476
|
||||
Wed, 14 Sep 2022 17:33:46: Epoch [24/25], Step [350/1289], Loss: 0.1227
|
||||
Wed, 14 Sep 2022 17:33:46: Epoch [24/25], Step [400/1289], Loss: 0.0316
|
||||
Wed, 14 Sep 2022 17:33:47: Epoch [24/25], Step [450/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 17:33:47: Epoch [24/25], Step [500/1289], Loss: 0.0445
|
||||
Wed, 14 Sep 2022 17:33:47: Epoch [24/25], Step [550/1289], Loss: 0.1187
|
||||
Wed, 14 Sep 2022 17:33:47: Epoch [24/25], Step [600/1289], Loss: 0.0503
|
||||
Wed, 14 Sep 2022 17:33:47: Epoch [24/25], Step [650/1289], Loss: 0.0691
|
||||
Wed, 14 Sep 2022 17:33:48: Epoch [24/25], Step [700/1289], Loss: 0.0660
|
||||
Wed, 14 Sep 2022 17:33:48: Epoch [24/25], Step [750/1289], Loss: 0.0108
|
||||
Wed, 14 Sep 2022 17:33:48: Epoch [24/25], Step [800/1289], Loss: 0.0858
|
||||
Wed, 14 Sep 2022 17:33:48: Epoch [24/25], Step [850/1289], Loss: 0.0309
|
||||
Wed, 14 Sep 2022 17:33:49: Epoch [24/25], Step [900/1289], Loss: 0.1149
|
||||
Wed, 14 Sep 2022 17:33:49: Epoch [24/25], Step [950/1289], Loss: 0.0543
|
||||
Wed, 14 Sep 2022 17:33:49: Epoch [24/25], Step [1000/1289], Loss: 0.0060
|
||||
Wed, 14 Sep 2022 17:33:49: Epoch [24/25], Step [1050/1289], Loss: 0.0526
|
||||
Wed, 14 Sep 2022 17:33:49: Epoch [24/25], Step [1100/1289], Loss: 0.1118
|
||||
Wed, 14 Sep 2022 17:33:50: Epoch [24/25], Step [1150/1289], Loss: 0.0718
|
||||
Wed, 14 Sep 2022 17:33:50: Epoch [24/25], Step [1200/1289], Loss: 0.0744
|
||||
Wed, 14 Sep 2022 17:33:50: Epoch [24/25], Step [1250/1289], Loss: 0.0177
|
||||
Wed, 14 Sep 2022 17:33:50: Epoch [25/25], Step [50/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 17:33:51: Epoch [25/25], Step [100/1289], Loss: 0.0257
|
||||
Wed, 14 Sep 2022 17:33:51: Epoch [25/25], Step [150/1289], Loss: 0.0118
|
||||
Wed, 14 Sep 2022 17:33:51: Epoch [25/25], Step [200/1289], Loss: 0.0512
|
||||
Wed, 14 Sep 2022 17:33:51: Epoch [25/25], Step [250/1289], Loss: 0.0753
|
||||
Wed, 14 Sep 2022 17:33:51: Epoch [25/25], Step [300/1289], Loss: 0.0415
|
||||
Wed, 14 Sep 2022 17:33:52: Epoch [25/25], Step [350/1289], Loss: 0.0529
|
||||
Wed, 14 Sep 2022 17:33:52: Epoch [25/25], Step [400/1289], Loss: 0.0211
|
||||
Wed, 14 Sep 2022 17:33:52: Epoch [25/25], Step [450/1289], Loss: 0.0303
|
||||
Wed, 14 Sep 2022 17:33:52: Epoch [25/25], Step [500/1289], Loss: 0.0996
|
||||
Wed, 14 Sep 2022 17:33:52: Epoch [25/25], Step [550/1289], Loss: 0.0453
|
||||
Wed, 14 Sep 2022 17:33:53: Epoch [25/25], Step [600/1289], Loss: 0.0135
|
||||
Wed, 14 Sep 2022 17:33:53: Epoch [25/25], Step [650/1289], Loss: 0.0672
|
||||
Wed, 14 Sep 2022 17:33:53: Epoch [25/25], Step [700/1289], Loss: 0.1113
|
||||
Wed, 14 Sep 2022 17:33:53: Epoch [25/25], Step [750/1289], Loss: 0.0512
|
||||
Wed, 14 Sep 2022 17:33:53: Epoch [25/25], Step [800/1289], Loss: 0.0859
|
||||
Wed, 14 Sep 2022 17:33:54: Epoch [25/25], Step [850/1289], Loss: 0.0357
|
||||
Wed, 14 Sep 2022 17:33:54: Epoch [25/25], Step [900/1289], Loss: 0.0942
|
||||
Wed, 14 Sep 2022 17:33:54: Epoch [25/25], Step [950/1289], Loss: 0.0152
|
||||
Wed, 14 Sep 2022 17:33:54: Epoch [25/25], Step [1000/1289], Loss: 0.0153
|
||||
Wed, 14 Sep 2022 17:33:55: Epoch [25/25], Step [1050/1289], Loss: 0.0457
|
||||
Wed, 14 Sep 2022 17:33:55: Epoch [25/25], Step [1100/1289], Loss: 0.0401
|
||||
Wed, 14 Sep 2022 17:33:55: Epoch [25/25], Step [1150/1289], Loss: 0.0155
|
||||
Wed, 14 Sep 2022 17:33:55: Epoch [25/25], Step [1200/1289], Loss: 0.0438
|
||||
Wed, 14 Sep 2022 17:33:55: Epoch [25/25], Step [1250/1289], Loss: 0.0561
|
||||
Wed, 14 Sep 2022 17:33:55: start testing on test dataset
|
||||
Wed, 14 Sep 2022 17:33:56: f1 :0.9691445931833287
|
||||
Wed, 14 Sep 2022 17:33:56:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9547 0.9864 0.9703 16151
|
||||
1 0.9859 0.9529 0.9691 16068
|
||||
|
||||
accuracy 0.9697 32219
|
||||
macro avg 0.9703 0.9697 0.9697 32219
|
||||
weighted avg 0.9703 0.9697 0.9697 32219
|
||||
|
||||
Wed, 14 Sep 2022 17:33:56:
|
||||
[[15932 219]
|
||||
[ 756 15312]]
|
||||
Wed, 14 Sep 2022 17:33:56: high_num,high_true,high_false:5253,4948,305
|
||||
Wed, 14 Sep 2022 17:33:56: low_num,low_true,low_false:10815,10364,451
|
||||
34
代码/sequenceShield/论文数据/DDoS_portion.log
Normal file
34
代码/sequenceShield/论文数据/DDoS_portion.log
Normal file
@@ -0,0 +1,34 @@
|
||||
/mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/MSSQL.csv
|
||||
{'LDAP': 45744, 'BENIGN': 35401, 'MSSQL': 11895740}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/LDAP.csv
|
||||
{'NetBIOS': 408401, 'BENIGN': 89037, 'LDAP': 8688649}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/NetBIOS.csv
|
||||
{'NetBIOS': 6929990, 'BENIGN': 26616}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/Portmap.csv
|
||||
{'BENIGN': 127393, 'Portmap': 380732}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/Syn.csv
|
||||
{'Syn': 16770526, 'BENIGN': 741967}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-03-11/03-11/UDPLag.csv
|
||||
{'UDP': 436451, 'BENIGN': 69766, 'UDPLag': 6646, 'Syn': 2423109}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_DNS.csv
|
||||
{'DrDoS_DNS': 30491900, 'BENIGN': 64041}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_LDAP.csv
|
||||
{'DrDoS_LDAP': 9781039, 'BENIGN': 11388}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_MSSQL.csv
|
||||
{'DrDoS_MSSQL': 9398879, 'BENIGN': 21411}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_NetBIOS.csv
|
||||
{'DrDoS_NetBIOS': 8218094, 'BENIGN': 19843}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_NTP.csv
|
||||
{'DrDoS_NTP': 76782920, 'BENIGN': 218907}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_SNMP.csv
|
||||
{'DrDoS_SNMP': 18043391, 'BENIGN': 12224}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_SSDP.csv
|
||||
{'DrDoS_SSDP': 9697154, 'BENIGN': 7959}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/DrDoS_UDP.csv
|
||||
{'DrDoS_UDP': 11821277, 'BENIGN': 21520}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/Syn.csv
|
||||
{'Syn': 5200240, 'BENIGN': 7267}
|
||||
already read file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/UDPLag.csv
|
||||
{'UDP-lag': 1169331, 'BENIGN': 49870, 'WebDDoS': 3089}
|
||||
file /mnt/c/Users/邓泽一/Downloads/DDOS数据集/cicddos2019/csv/CSV-01-12/01-12/TFTP.csv
|
||||
{'TFTP': 69214707, 'BENIGN': 299307}
|
||||
52
代码/sequenceShield/论文数据/cicddos2019.log
Normal file
52
代码/sequenceShield/论文数据/cicddos2019.log
Normal file
@@ -0,0 +1,52 @@
|
||||
Fri, 01 Jul 2022 19:35:21: -------------
|
||||
Fri, 01 Jul 2022 19:35:21: reading csv file
|
||||
Fri, 01 Jul 2022 19:35:45: csv file alread loaded
|
||||
Fri, 01 Jul 2022 19:55:19: processing train/test dataset
|
||||
Fri, 01 Jul 2022 19:55:19: procols num: 590
|
||||
Fri, 01 Jul 2022 19:55:24: row_idx: 0
|
||||
Fri, 01 Jul 2022 19:55:25: row_idx: 200000
|
||||
Fri, 01 Jul 2022 19:55:27: row_idx: 400000
|
||||
Fri, 01 Jul 2022 19:55:28: row_idx: 600000
|
||||
Fri, 01 Jul 2022 19:55:29: row_idx: 800000
|
||||
Fri, 01 Jul 2022 19:55:31: row_idx: 1000000
|
||||
Fri, 01 Jul 2022 19:55:32: row_idx: 1200000
|
||||
Fri, 01 Jul 2022 19:55:34: row_idx: 1400000
|
||||
Fri, 01 Jul 2022 19:55:35: row_idx: 1600000
|
||||
Fri, 01 Jul 2022 19:55:37: row_idx: 1800000
|
||||
Fri, 01 Jul 2022 19:55:38: row_idx: 2000000
|
||||
Fri, 01 Jul 2022 19:55:40: row_idx: 2200000
|
||||
Fri, 01 Jul 2022 19:55:41: row_idx: 2400000
|
||||
Fri, 01 Jul 2022 19:55:43: row_idx: 2600000
|
||||
Fri, 01 Jul 2022 19:55:44: row_idx: 2800000
|
||||
Fri, 01 Jul 2022 19:55:46: row_idx: 3000000
|
||||
Fri, 01 Jul 2022 19:55:47: row_idx: 3200000
|
||||
Fri, 01 Jul 2022 19:55:49: row_idx: 3400000
|
||||
Fri, 01 Jul 2022 19:55:50: row_idx: 3600000
|
||||
Fri, 01 Jul 2022 19:55:52: row_idx: 3800000
|
||||
Fri, 01 Jul 2022 19:55:53: row_idx: 4000000
|
||||
Fri, 01 Jul 2022 19:55:55: row_idx: 4200000
|
||||
Fri, 01 Jul 2022 19:55:56: row_idx: 4400000
|
||||
Fri, 01 Jul 2022 19:55:58: row_idx: 4600000
|
||||
Fri, 01 Jul 2022 19:55:59: row_idx: 4800000
|
||||
Fri, 01 Jul 2022 19:56:01: row_idx: 5000000
|
||||
Fri, 01 Jul 2022 19:56:01: train_labels_true_num:16544
|
||||
Fri, 01 Jul 2022 19:56:01: train_labels_false_num:13205
|
||||
Fri, 01 Jul 2022 19:56:11: test_labels_true_num:4267
|
||||
Fri, 01 Jul 2022 19:56:11: test_labels_false_num:3300
|
||||
Fri, 01 Jul 2022 19:56:26: start training
|
||||
Fri, 01 Jul 2022 20:08:50: Epoch [1/1], Step [100/298], Loss: 0.1185
|
||||
Fri, 01 Jul 2022 20:21:13: Epoch [1/1], Step [200/298], Loss: 0.0068
|
||||
Fri, 01 Jul 2022 20:33:18: start testing
|
||||
Fri, 01 Jul 2022 20:36:44: f1 :0.9988290398126464
|
||||
Fri, 01 Jul 2022 20:36:44: precision recall f1-score support
|
||||
|
||||
0 0.9994 0.9976 0.9985 3300
|
||||
1 0.9981 0.9995 0.9988 4267
|
||||
|
||||
accuracy 0.9987 7567
|
||||
macro avg 0.9988 0.9986 0.9987 7567
|
||||
weighted avg 0.9987 0.9987 0.9987 7567
|
||||
|
||||
Fri, 01 Jul 2022 20:36:44: [[3292 8]
|
||||
[ 2 4265]]
|
||||
Fri, 01 Jul 2022 20:36:44: parameters - batch_size:100, num_epochs:1, learning_rage:0.001
|
||||
785
代码/sequenceShield/论文数据/cicdos.log
Normal file
785
代码/sequenceShield/论文数据/cicdos.log
Normal file
@@ -0,0 +1,785 @@
|
||||
train_labels_true_num:8801
|
||||
train_labels_false_num:11850
|
||||
test_labels_true_num:2213
|
||||
test_labels_false_num:3028
|
||||
Epoch [1/10], Step [100/207], Loss: 0.4406
|
||||
Epoch [1/10], Step [200/207], Loss: 0.3632
|
||||
Epoch [2/10], Step [100/207], Loss: 0.3753
|
||||
Epoch [2/10], Step [200/207], Loss: 0.3257
|
||||
Epoch [3/10], Step [100/207], Loss: 0.2597
|
||||
Epoch [3/10], Step [200/207], Loss: 0.3262
|
||||
Epoch [4/10], Step [100/207], Loss: 0.6204
|
||||
Epoch [4/10], Step [200/207], Loss: 0.4784
|
||||
Epoch [5/10], Step [100/207], Loss: 0.1813
|
||||
Epoch [5/10], Step [200/207], Loss: 0.2082
|
||||
Epoch [6/10], Step [100/207], Loss: 0.3078
|
||||
Epoch [6/10], Step [200/207], Loss: 0.3634
|
||||
Epoch [7/10], Step [100/207], Loss: 0.2819
|
||||
Epoch [7/10], Step [200/207], Loss: 0.2676
|
||||
Epoch [8/10], Step [100/207], Loss: 0.2819
|
||||
Epoch [8/10], Step [200/207], Loss: 0.2099
|
||||
Epoch [9/10], Step [100/207], Loss: 0.1634
|
||||
Epoch [9/10], Step [200/207], Loss: 0.2010
|
||||
Epoch [10/10], Step [100/207], Loss: 0.1844
|
||||
Epoch [10/10], Step [200/207], Loss: 0.1624
|
||||
f1 :0.945589256772401
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9455 0.9789 0.9619 3028
|
||||
1.0 0.9696 0.9227 0.9456 2213
|
||||
|
||||
accuracy 0.9552 5241
|
||||
macro avg 0.9575 0.9508 0.9537 5241
|
||||
weighted avg 0.9557 0.9552 0.9550 5241
|
||||
|
||||
[[2964 64]
|
||||
[ 171 2042]]
|
||||
parameters: batch_size:100, num_epochs:10, learning_rage:0.002
|
||||
Epoch [1/10], Step [100/207], Loss: 0.3360
|
||||
Epoch [1/10], Step [200/207], Loss: 0.3115
|
||||
Epoch [2/10], Step [100/207], Loss: 0.2935
|
||||
Epoch [2/10], Step [200/207], Loss: 0.3120
|
||||
Epoch [3/10], Step [100/207], Loss: 0.3761
|
||||
Epoch [3/10], Step [200/207], Loss: 0.2726
|
||||
Epoch [4/10], Step [100/207], Loss: 0.4038
|
||||
Epoch [4/10], Step [200/207], Loss: 0.4420
|
||||
Epoch [5/10], Step [100/207], Loss: 0.4543
|
||||
Epoch [5/10], Step [200/207], Loss: 0.4015
|
||||
Epoch [6/10], Step [100/207], Loss: 0.3143
|
||||
Epoch [6/10], Step [200/207], Loss: 0.3145
|
||||
Epoch [7/10], Step [100/207], Loss: 0.3680
|
||||
Epoch [7/10], Step [200/207], Loss: 0.2943
|
||||
Epoch [8/10], Step [100/207], Loss: 0.3600
|
||||
Epoch [8/10], Step [200/207], Loss: 0.3049
|
||||
Epoch [9/10], Step [100/207], Loss: 0.2462
|
||||
Epoch [9/10], Step [200/207], Loss: 0.1874
|
||||
Epoch [10/10], Step [100/207], Loss: 0.1276
|
||||
Epoch [10/10], Step [200/207], Loss: 0.1179
|
||||
f1 :0.9130132219902575
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9220 0.9571 0.9392 3028
|
||||
1.0 0.9380 0.8893 0.9130 2213
|
||||
|
||||
accuracy 0.9284 5241
|
||||
macro avg 0.9300 0.9232 0.9261 5241
|
||||
weighted avg 0.9288 0.9284 0.9282 5241
|
||||
|
||||
[[2898 130]
|
||||
[ 245 1968]]
|
||||
parameters: batch_size:100, num_epochs:10, learning_rage:0.002
|
||||
-------------
|
||||
|
||||
Epoch [1/10], Step [100/207], Loss: 0.4122
|
||||
Epoch [1/10], Step [200/207], Loss: 0.4311
|
||||
Epoch [2/10], Step [100/207], Loss: 0.3142
|
||||
Epoch [2/10], Step [200/207], Loss: 0.3392
|
||||
Epoch [3/10], Step [100/207], Loss: 0.6274
|
||||
Epoch [3/10], Step [200/207], Loss: 0.6496
|
||||
Epoch [4/10], Step [100/207], Loss: 0.6772
|
||||
Epoch [4/10], Step [200/207], Loss: 0.6546
|
||||
Epoch [5/10], Step [100/207], Loss: 0.6551
|
||||
Epoch [5/10], Step [200/207], Loss: 0.6727
|
||||
Epoch [6/10], Step [100/207], Loss: 0.5048
|
||||
Epoch [6/10], Step [200/207], Loss: 0.4690
|
||||
Epoch [7/10], Step [100/207], Loss: 0.4654
|
||||
Epoch [7/10], Step [200/207], Loss: 0.3827
|
||||
Epoch [8/10], Step [100/207], Loss: 0.4112
|
||||
Epoch [8/10], Step [200/207], Loss: 0.3528
|
||||
Epoch [9/10], Step [100/207], Loss: 0.3355
|
||||
Epoch [9/10], Step [200/207], Loss: 0.1818
|
||||
Epoch [10/10], Step [100/207], Loss: 0.2670
|
||||
Epoch [10/10], Step [200/207], Loss: 0.2105
|
||||
f1 :0.9100281162136832
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9149 0.9627 0.9382 3028
|
||||
1.0 0.9450 0.8775 0.9100 2213
|
||||
|
||||
accuracy 0.9267 5241
|
||||
macro avg 0.9300 0.9201 0.9241 5241
|
||||
weighted avg 0.9276 0.9267 0.9263 5241
|
||||
|
||||
[[2915 113]
|
||||
[ 271 1942]]
|
||||
parameters: batch_size:100, num_epochs:10, learning_rage:0.002
|
||||
-------------
|
||||
|
||||
Epoch [1/10], Step [100/207], Loss: 0.4016
|
||||
Epoch [1/10], Step [200/207], Loss: 0.2908
|
||||
Epoch [2/10], Step [100/207], Loss: 0.3171
|
||||
Epoch [2/10], Step [200/207], Loss: 0.3165
|
||||
Epoch [3/10], Step [100/207], Loss: 0.2826
|
||||
Epoch [3/10], Step [200/207], Loss: 0.4435
|
||||
Epoch [4/10], Step [100/207], Loss: 0.4115
|
||||
Epoch [4/10], Step [200/207], Loss: 0.3216
|
||||
Epoch [5/10], Step [100/207], Loss: 0.2801
|
||||
Epoch [5/10], Step [200/207], Loss: 0.2841
|
||||
Epoch [6/10], Step [100/207], Loss: 0.2352
|
||||
Epoch [6/10], Step [200/207], Loss: 0.2783
|
||||
Epoch [7/10], Step [100/207], Loss: 0.1566
|
||||
Epoch [7/10], Step [200/207], Loss: 0.1833
|
||||
Epoch [8/10], Step [100/207], Loss: 0.1379
|
||||
Epoch [8/10], Step [200/207], Loss: 0.1803
|
||||
Epoch [9/10], Step [100/207], Loss: 0.1303
|
||||
Epoch [9/10], Step [200/207], Loss: 0.1986
|
||||
Epoch [10/10], Step [100/207], Loss: 0.1007
|
||||
Epoch [10/10], Step [200/207], Loss: 0.1824
|
||||
f1 :0.9553488372093023
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9496 0.9891 0.9689 3028
|
||||
1.0 0.9842 0.9282 0.9553 2213
|
||||
|
||||
accuracy 0.9634 5241
|
||||
macro avg 0.9669 0.9586 0.9621 5241
|
||||
weighted avg 0.9642 0.9634 0.9632 5241
|
||||
|
||||
[[2995 33]
|
||||
[ 159 2054]]
|
||||
parameters: batch_size:100, num_epochs:10, learning_rage:0.002
|
||||
-------------
|
||||
|
||||
Epoch [1/100], Step [100/207], Loss: 0.2838
|
||||
Epoch [1/100], Step [200/207], Loss: 0.3853
|
||||
Epoch [2/100], Step [100/207], Loss: 0.3937
|
||||
Epoch [2/100], Step [200/207], Loss: 0.3066
|
||||
Epoch [3/100], Step [100/207], Loss: 0.3955
|
||||
Epoch [3/100], Step [200/207], Loss: 0.3117
|
||||
Epoch [4/100], Step [100/207], Loss: 0.2929
|
||||
Epoch [4/100], Step [200/207], Loss: 0.2005
|
||||
Epoch [5/100], Step [100/207], Loss: 0.3714
|
||||
Epoch [5/100], Step [200/207], Loss: 0.3277
|
||||
Epoch [6/100], Step [100/207], Loss: 0.2288
|
||||
Epoch [6/100], Step [200/207], Loss: 0.2347
|
||||
Epoch [7/100], Step [100/207], Loss: 0.2542
|
||||
Epoch [7/100], Step [200/207], Loss: 0.1867
|
||||
Epoch [8/100], Step [100/207], Loss: 0.1426
|
||||
Epoch [8/100], Step [200/207], Loss: 0.1485
|
||||
Epoch [9/100], Step [100/207], Loss: 0.1831
|
||||
Epoch [9/100], Step [200/207], Loss: 0.1099
|
||||
Epoch [10/100], Step [100/207], Loss: 0.1479
|
||||
Epoch [10/100], Step [200/207], Loss: 0.1037
|
||||
Epoch [11/100], Step [100/207], Loss: 0.1369
|
||||
Epoch [11/100], Step [200/207], Loss: 0.0470
|
||||
Epoch [12/100], Step [100/207], Loss: 0.1893
|
||||
Epoch [12/100], Step [200/207], Loss: 0.1926
|
||||
Epoch [13/100], Step [100/207], Loss: 0.0719
|
||||
Epoch [13/100], Step [200/207], Loss: 0.1220
|
||||
Epoch [14/100], Step [100/207], Loss: 0.2265
|
||||
Epoch [14/100], Step [200/207], Loss: 0.1245
|
||||
Epoch [15/100], Step [100/207], Loss: 0.1289
|
||||
Epoch [15/100], Step [200/207], Loss: 0.1326
|
||||
Epoch [16/100], Step [100/207], Loss: 0.1467
|
||||
Epoch [16/100], Step [200/207], Loss: 0.0773
|
||||
Epoch [17/100], Step [100/207], Loss: 0.0769
|
||||
Epoch [17/100], Step [200/207], Loss: 0.1293
|
||||
Epoch [18/100], Step [100/207], Loss: 0.2146
|
||||
Epoch [18/100], Step [200/207], Loss: 0.0990
|
||||
Epoch [19/100], Step [100/207], Loss: 0.1335
|
||||
Epoch [19/100], Step [200/207], Loss: 0.1031
|
||||
Epoch [20/100], Step [100/207], Loss: 0.0830
|
||||
Epoch [20/100], Step [200/207], Loss: 0.1801
|
||||
Epoch [21/100], Step [100/207], Loss: 0.2223
|
||||
Epoch [21/100], Step [200/207], Loss: 0.0284
|
||||
Epoch [22/100], Step [100/207], Loss: 0.1959
|
||||
Epoch [22/100], Step [200/207], Loss: 0.0926
|
||||
Epoch [23/100], Step [100/207], Loss: 0.0364
|
||||
Epoch [23/100], Step [200/207], Loss: 0.1076
|
||||
Epoch [24/100], Step [100/207], Loss: 0.1068
|
||||
Epoch [24/100], Step [200/207], Loss: 0.0921
|
||||
Epoch [25/100], Step [100/207], Loss: 0.0683
|
||||
Epoch [25/100], Step [200/207], Loss: 0.1006
|
||||
Epoch [26/100], Step [100/207], Loss: 0.0819
|
||||
Epoch [26/100], Step [200/207], Loss: 0.2243
|
||||
Epoch [27/100], Step [100/207], Loss: 0.0885
|
||||
Epoch [27/100], Step [200/207], Loss: 0.2360
|
||||
Epoch [28/100], Step [100/207], Loss: 0.1059
|
||||
Epoch [28/100], Step [200/207], Loss: 0.2793
|
||||
Epoch [29/100], Step [100/207], Loss: 0.1880
|
||||
Epoch [29/100], Step [200/207], Loss: 0.1290
|
||||
Epoch [30/100], Step [100/207], Loss: 0.0723
|
||||
Epoch [30/100], Step [200/207], Loss: 0.1186
|
||||
Epoch [31/100], Step [100/207], Loss: 0.1277
|
||||
Epoch [31/100], Step [200/207], Loss: 0.0776
|
||||
Epoch [32/100], Step [100/207], Loss: 0.1279
|
||||
Epoch [32/100], Step [200/207], Loss: 0.1167
|
||||
Epoch [33/100], Step [100/207], Loss: 0.0947
|
||||
Epoch [33/100], Step [200/207], Loss: 0.1393
|
||||
Epoch [34/100], Step [100/207], Loss: 0.0733
|
||||
Epoch [34/100], Step [200/207], Loss: 0.1324
|
||||
Epoch [35/100], Step [100/207], Loss: 0.1056
|
||||
Epoch [35/100], Step [200/207], Loss: 0.0995
|
||||
Epoch [36/100], Step [100/207], Loss: 0.0339
|
||||
Epoch [36/100], Step [200/207], Loss: 0.0877
|
||||
Epoch [37/100], Step [100/207], Loss: 0.1323
|
||||
Epoch [37/100], Step [200/207], Loss: 0.0546
|
||||
Epoch [38/100], Step [100/207], Loss: 0.0805
|
||||
Epoch [38/100], Step [200/207], Loss: 0.0978
|
||||
Epoch [39/100], Step [100/207], Loss: 0.2052
|
||||
Epoch [39/100], Step [200/207], Loss: 0.0617
|
||||
Epoch [40/100], Step [100/207], Loss: 0.0420
|
||||
Epoch [40/100], Step [200/207], Loss: 0.1225
|
||||
Epoch [41/100], Step [100/207], Loss: 0.0250
|
||||
Epoch [41/100], Step [200/207], Loss: 0.0921
|
||||
Epoch [42/100], Step [100/207], Loss: 0.1798
|
||||
Epoch [42/100], Step [200/207], Loss: 0.0133
|
||||
Epoch [43/100], Step [100/207], Loss: 0.0932
|
||||
Epoch [43/100], Step [200/207], Loss: 0.1830
|
||||
Epoch [44/100], Step [100/207], Loss: 0.0628
|
||||
Epoch [44/100], Step [200/207], Loss: 0.0748
|
||||
Epoch [45/100], Step [100/207], Loss: 0.0846
|
||||
Epoch [45/100], Step [200/207], Loss: 0.0276
|
||||
Epoch [46/100], Step [100/207], Loss: 0.0336
|
||||
Epoch [46/100], Step [200/207], Loss: 0.0500
|
||||
Epoch [47/100], Step [100/207], Loss: 0.0352
|
||||
Epoch [47/100], Step [200/207], Loss: 0.0773
|
||||
Epoch [48/100], Step [100/207], Loss: 0.0730
|
||||
Epoch [48/100], Step [200/207], Loss: 0.1637
|
||||
Epoch [49/100], Step [100/207], Loss: 0.0524
|
||||
Epoch [49/100], Step [200/207], Loss: 0.0703
|
||||
Epoch [50/100], Step [100/207], Loss: 0.0312
|
||||
Epoch [50/100], Step [200/207], Loss: 0.0159
|
||||
Epoch [51/100], Step [100/207], Loss: 0.0335
|
||||
Epoch [51/100], Step [200/207], Loss: 0.0896
|
||||
Epoch [52/100], Step [100/207], Loss: 0.0663
|
||||
Epoch [52/100], Step [200/207], Loss: 0.2056
|
||||
Epoch [53/100], Step [100/207], Loss: 0.0794
|
||||
Epoch [53/100], Step [200/207], Loss: 0.1159
|
||||
Epoch [54/100], Step [100/207], Loss: 0.1572
|
||||
Epoch [54/100], Step [200/207], Loss: 0.0539
|
||||
Epoch [55/100], Step [100/207], Loss: 0.0644
|
||||
Epoch [55/100], Step [200/207], Loss: 0.0335
|
||||
Epoch [56/100], Step [100/207], Loss: 0.0534
|
||||
Epoch [56/100], Step [200/207], Loss: 0.1250
|
||||
Epoch [57/100], Step [100/207], Loss: 0.0801
|
||||
Epoch [57/100], Step [200/207], Loss: 0.0773
|
||||
Epoch [58/100], Step [100/207], Loss: 0.1057
|
||||
Epoch [58/100], Step [200/207], Loss: 0.0424
|
||||
Epoch [59/100], Step [100/207], Loss: 0.0853
|
||||
Epoch [59/100], Step [200/207], Loss: 0.0449
|
||||
Epoch [60/100], Step [100/207], Loss: 0.0670
|
||||
Epoch [60/100], Step [200/207], Loss: 0.0715
|
||||
Epoch [61/100], Step [100/207], Loss: 0.0760
|
||||
Epoch [61/100], Step [200/207], Loss: 0.0897
|
||||
Epoch [62/100], Step [100/207], Loss: 0.0886
|
||||
Epoch [62/100], Step [200/207], Loss: 0.0088
|
||||
Epoch [63/100], Step [100/207], Loss: 0.0238
|
||||
Epoch [63/100], Step [200/207], Loss: 0.0725
|
||||
Epoch [64/100], Step [100/207], Loss: 0.0850
|
||||
Epoch [64/100], Step [200/207], Loss: 0.0593
|
||||
Epoch [65/100], Step [100/207], Loss: 0.0603
|
||||
Epoch [65/100], Step [200/207], Loss: 0.0419
|
||||
Epoch [66/100], Step [100/207], Loss: 0.0883
|
||||
Epoch [66/100], Step [200/207], Loss: 0.0098
|
||||
Epoch [67/100], Step [100/207], Loss: 0.0126
|
||||
Epoch [67/100], Step [200/207], Loss: 0.0150
|
||||
Epoch [68/100], Step [100/207], Loss: 0.0928
|
||||
Epoch [68/100], Step [200/207], Loss: 0.0608
|
||||
Epoch [69/100], Step [100/207], Loss: 0.0163
|
||||
Epoch [69/100], Step [200/207], Loss: 0.0751
|
||||
Epoch [70/100], Step [100/207], Loss: 0.0379
|
||||
Epoch [70/100], Step [200/207], Loss: 0.0658
|
||||
Epoch [71/100], Step [100/207], Loss: 0.0337
|
||||
Epoch [71/100], Step [200/207], Loss: 0.0110
|
||||
Epoch [72/100], Step [100/207], Loss: 0.0563
|
||||
Epoch [72/100], Step [200/207], Loss: 0.0387
|
||||
Epoch [73/100], Step [100/207], Loss: 0.0143
|
||||
Epoch [73/100], Step [200/207], Loss: 0.1225
|
||||
Epoch [74/100], Step [100/207], Loss: 0.0209
|
||||
Epoch [74/100], Step [200/207], Loss: 0.0282
|
||||
Epoch [75/100], Step [100/207], Loss: 0.0785
|
||||
Epoch [75/100], Step [200/207], Loss: 0.0229
|
||||
Epoch [76/100], Step [100/207], Loss: 0.0401
|
||||
Epoch [76/100], Step [200/207], Loss: 0.0317
|
||||
Epoch [77/100], Step [100/207], Loss: 0.0475
|
||||
Epoch [77/100], Step [200/207], Loss: 0.0784
|
||||
Epoch [78/100], Step [100/207], Loss: 0.0457
|
||||
Epoch [78/100], Step [200/207], Loss: 0.0302
|
||||
Epoch [79/100], Step [100/207], Loss: 0.0713
|
||||
Epoch [79/100], Step [200/207], Loss: 0.0788
|
||||
Epoch [80/100], Step [100/207], Loss: 0.0361
|
||||
Epoch [80/100], Step [200/207], Loss: 0.0556
|
||||
Epoch [81/100], Step [100/207], Loss: 0.0283
|
||||
Epoch [81/100], Step [200/207], Loss: 0.0096
|
||||
Epoch [82/100], Step [100/207], Loss: 0.0158
|
||||
Epoch [82/100], Step [200/207], Loss: 0.0192
|
||||
Epoch [83/100], Step [100/207], Loss: 0.0082
|
||||
Epoch [83/100], Step [200/207], Loss: 0.0272
|
||||
Epoch [84/100], Step [100/207], Loss: 0.0877
|
||||
Epoch [84/100], Step [200/207], Loss: 0.0341
|
||||
Epoch [85/100], Step [100/207], Loss: 0.0525
|
||||
Epoch [85/100], Step [200/207], Loss: 0.0859
|
||||
Epoch [86/100], Step [100/207], Loss: 0.0983
|
||||
Epoch [86/100], Step [200/207], Loss: 0.0780
|
||||
Epoch [87/100], Step [100/207], Loss: 0.1127
|
||||
Epoch [87/100], Step [200/207], Loss: 0.0411
|
||||
Epoch [88/100], Step [100/207], Loss: 0.0949
|
||||
Epoch [88/100], Step [200/207], Loss: 0.0754
|
||||
Epoch [89/100], Step [100/207], Loss: 0.0279
|
||||
Epoch [89/100], Step [200/207], Loss: 0.0351
|
||||
Epoch [90/100], Step [100/207], Loss: 0.0567
|
||||
Epoch [90/100], Step [200/207], Loss: 0.0308
|
||||
Epoch [91/100], Step [100/207], Loss: 0.0680
|
||||
Epoch [91/100], Step [200/207], Loss: 0.0711
|
||||
Epoch [92/100], Step [100/207], Loss: 0.0432
|
||||
Epoch [92/100], Step [200/207], Loss: 0.0706
|
||||
Epoch [93/100], Step [100/207], Loss: 0.0773
|
||||
Epoch [93/100], Step [200/207], Loss: 0.0479
|
||||
Epoch [94/100], Step [100/207], Loss: 0.0389
|
||||
Epoch [94/100], Step [200/207], Loss: 0.0713
|
||||
Epoch [95/100], Step [100/207], Loss: 0.0778
|
||||
Epoch [95/100], Step [200/207], Loss: 0.1012
|
||||
Epoch [96/100], Step [100/207], Loss: 0.0505
|
||||
Epoch [96/100], Step [200/207], Loss: 0.0147
|
||||
Epoch [97/100], Step [100/207], Loss: 0.0999
|
||||
Epoch [97/100], Step [200/207], Loss: 0.0289
|
||||
Epoch [98/100], Step [100/207], Loss: 0.0142
|
||||
Epoch [98/100], Step [200/207], Loss: 0.0715
|
||||
Epoch [99/100], Step [100/207], Loss: 0.0238
|
||||
Epoch [99/100], Step [200/207], Loss: 0.0614
|
||||
Epoch [100/100], Step [100/207], Loss: 0.0466
|
||||
Epoch [100/100], Step [200/207], Loss: 0.0246
|
||||
f1 :0.958400367731556
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9587 0.9825 0.9705 3028
|
||||
1.0 0.9752 0.9422 0.9584 2213
|
||||
|
||||
accuracy 0.9655 5241
|
||||
macro avg 0.9670 0.9623 0.9644 5241
|
||||
weighted avg 0.9657 0.9655 0.9654 5241
|
||||
|
||||
[[2975 53]
|
||||
[ 128 2085]]
|
||||
parameters: batch_size:100, num_epochs:100, learning_rage:0.002
|
||||
-------------
|
||||
|
||||
Epoch [1/100], Step [100/207], Loss: 0.6263
|
||||
Epoch [1/100], Step [200/207], Loss: 0.6736
|
||||
Epoch [2/100], Step [100/207], Loss: 0.6330
|
||||
Epoch [2/100], Step [200/207], Loss: 0.6857
|
||||
Epoch [3/100], Step [100/207], Loss: 0.6912
|
||||
Epoch [3/100], Step [200/207], Loss: 0.6785
|
||||
Epoch [4/100], Step [100/207], Loss: 0.6984
|
||||
Epoch [4/100], Step [200/207], Loss: 0.6666
|
||||
Epoch [5/100], Step [100/207], Loss: 0.6899
|
||||
Epoch [5/100], Step [200/207], Loss: 0.6834
|
||||
Epoch [6/100], Step [100/207], Loss: 0.7032
|
||||
Epoch [6/100], Step [200/207], Loss: 0.6861
|
||||
Epoch [7/100], Step [100/207], Loss: 0.6627
|
||||
Epoch [7/100], Step [200/207], Loss: 0.6882
|
||||
Epoch [8/100], Step [100/207], Loss: 0.6644
|
||||
Epoch [8/100], Step [200/207], Loss: 0.6947
|
||||
Epoch [9/100], Step [100/207], Loss: 0.6880
|
||||
Epoch [9/100], Step [200/207], Loss: 0.6909
|
||||
Epoch [10/100], Step [100/207], Loss: 0.7111
|
||||
Epoch [10/100], Step [200/207], Loss: 0.6758
|
||||
Epoch [11/100], Step [100/207], Loss: 0.6773
|
||||
Epoch [11/100], Step [200/207], Loss: 0.6923
|
||||
Epoch [12/100], Step [100/207], Loss: 0.7168
|
||||
Epoch [12/100], Step [200/207], Loss: 0.6860
|
||||
Epoch [13/100], Step [100/207], Loss: 0.6570
|
||||
Epoch [13/100], Step [200/207], Loss: 0.6600
|
||||
Epoch [14/100], Step [100/207], Loss: 0.6834
|
||||
Epoch [14/100], Step [200/207], Loss: 0.6592
|
||||
Epoch [15/100], Step [100/207], Loss: 0.6617
|
||||
Epoch [15/100], Step [200/207], Loss: 0.6920
|
||||
Epoch [16/100], Step [100/207], Loss: 0.6860
|
||||
Epoch [16/100], Step [200/207], Loss: 0.6834
|
||||
Epoch [17/100], Step [100/207], Loss: 0.7145
|
||||
Epoch [17/100], Step [200/207], Loss: 0.6889
|
||||
Epoch [18/100], Step [100/207], Loss: 0.7067
|
||||
Epoch [18/100], Step [200/207], Loss: 0.6910
|
||||
Epoch [19/100], Step [100/207], Loss: 0.6603
|
||||
Epoch [19/100], Step [200/207], Loss: 0.7076
|
||||
Epoch [20/100], Step [100/207], Loss: 0.6663
|
||||
Epoch [20/100], Step [200/207], Loss: 0.6556
|
||||
Epoch [21/100], Step [100/207], Loss: 0.6925
|
||||
Epoch [21/100], Step [200/207], Loss: 0.6390
|
||||
Epoch [22/100], Step [100/207], Loss: 0.6868
|
||||
Epoch [22/100], Step [200/207], Loss: 0.6871
|
||||
Epoch [23/100], Step [100/207], Loss: 0.6803
|
||||
Epoch [23/100], Step [200/207], Loss: 0.6769
|
||||
Epoch [24/100], Step [100/207], Loss: 0.6834
|
||||
Epoch [24/100], Step [200/207], Loss: 0.6886
|
||||
Epoch [25/100], Step [100/207], Loss: 0.6809
|
||||
Epoch [25/100], Step [200/207], Loss: 0.6810
|
||||
Epoch [26/100], Step [100/207], Loss: 0.6745
|
||||
Epoch [26/100], Step [200/207], Loss: 0.6772
|
||||
Epoch [27/100], Step [100/207], Loss: 0.6698
|
||||
Epoch [27/100], Step [200/207], Loss: 0.6860
|
||||
Epoch [28/100], Step [100/207], Loss: 0.6676
|
||||
Epoch [28/100], Step [200/207], Loss: 0.6775
|
||||
Epoch [29/100], Step [100/207], Loss: 0.6860
|
||||
Epoch [29/100], Step [200/207], Loss: 0.6721
|
||||
Epoch [30/100], Step [100/207], Loss: 0.6833
|
||||
Epoch [30/100], Step [200/207], Loss: 0.6894
|
||||
Epoch [31/100], Step [100/207], Loss: 0.6886
|
||||
Epoch [31/100], Step [200/207], Loss: 0.6914
|
||||
Epoch [32/100], Step [100/207], Loss: 0.6885
|
||||
Epoch [32/100], Step [200/207], Loss: 0.6677
|
||||
Epoch [33/100], Step [100/207], Loss: 0.6706
|
||||
Epoch [33/100], Step [200/207], Loss: 0.6814
|
||||
Epoch [34/100], Step [100/207], Loss: 0.6974
|
||||
Epoch [34/100], Step [200/207], Loss: 0.6862
|
||||
Epoch [35/100], Step [100/207], Loss: 0.6689
|
||||
Epoch [35/100], Step [200/207], Loss: 0.6444
|
||||
Epoch [36/100], Step [100/207], Loss: 0.6694
|
||||
Epoch [36/100], Step [200/207], Loss: 0.6837
|
||||
Epoch [37/100], Step [100/207], Loss: 0.7096
|
||||
Epoch [37/100], Step [200/207], Loss: 0.6946
|
||||
Epoch [38/100], Step [100/207], Loss: 0.6788
|
||||
Epoch [38/100], Step [200/207], Loss: 0.6919
|
||||
Epoch [39/100], Step [100/207], Loss: 0.6861
|
||||
Epoch [39/100], Step [200/207], Loss: 0.6946
|
||||
Epoch [40/100], Step [100/207], Loss: 0.6834
|
||||
Epoch [40/100], Step [200/207], Loss: 0.6862
|
||||
Epoch [41/100], Step [100/207], Loss: 0.6642
|
||||
Epoch [41/100], Step [200/207], Loss: 0.7326
|
||||
Epoch [42/100], Step [100/207], Loss: 0.6863
|
||||
Epoch [42/100], Step [200/207], Loss: 0.6665
|
||||
Epoch [43/100], Step [100/207], Loss: 0.6804
|
||||
Epoch [43/100], Step [200/207], Loss: 0.6990
|
||||
Epoch [44/100], Step [100/207], Loss: 0.6691
|
||||
Epoch [44/100], Step [200/207], Loss: 0.6681
|
||||
Epoch [45/100], Step [100/207], Loss: 0.6488
|
||||
Epoch [45/100], Step [200/207], Loss: 0.6873
|
||||
Epoch [46/100], Step [100/207], Loss: 0.6803
|
||||
Epoch [46/100], Step [200/207], Loss: 0.6835
|
||||
Epoch [47/100], Step [100/207], Loss: 0.6920
|
||||
Epoch [47/100], Step [200/207], Loss: 0.6759
|
||||
Epoch [48/100], Step [100/207], Loss: 0.6713
|
||||
Epoch [48/100], Step [200/207], Loss: 0.6804
|
||||
Epoch [49/100], Step [100/207], Loss: 0.6780
|
||||
Epoch [49/100], Step [200/207], Loss: 0.6887
|
||||
Epoch [50/100], Step [100/207], Loss: 0.6736
|
||||
Epoch [50/100], Step [200/207], Loss: 0.6805
|
||||
Epoch [51/100], Step [100/207], Loss: 0.6977
|
||||
Epoch [51/100], Step [200/207], Loss: 0.7142
|
||||
Epoch [52/100], Step [100/207], Loss: 0.6834
|
||||
Epoch [52/100], Step [200/207], Loss: 0.6942
|
||||
Epoch [53/100], Step [100/207], Loss: 0.6774
|
||||
Epoch [53/100], Step [200/207], Loss: 0.6835
|
||||
Epoch [54/100], Step [100/207], Loss: 0.6755
|
||||
Epoch [54/100], Step [200/207], Loss: 0.6656
|
||||
Epoch [55/100], Step [100/207], Loss: 0.6975
|
||||
Epoch [55/100], Step [200/207], Loss: 0.6803
|
||||
Epoch [56/100], Step [100/207], Loss: 0.7036
|
||||
Epoch [56/100], Step [200/207], Loss: 0.7010
|
||||
Epoch [57/100], Step [100/207], Loss: 0.6786
|
||||
Epoch [57/100], Step [200/207], Loss: 0.6951
|
||||
Epoch [58/100], Step [100/207], Loss: 0.6957
|
||||
Epoch [58/100], Step [200/207], Loss: 0.6642
|
||||
Epoch [59/100], Step [100/207], Loss: 0.6746
|
||||
Epoch [59/100], Step [200/207], Loss: 0.6915
|
||||
Epoch [60/100], Step [100/207], Loss: 0.6732
|
||||
Epoch [60/100], Step [200/207], Loss: 0.6837
|
||||
Epoch [61/100], Step [100/207], Loss: 0.6983
|
||||
Epoch [61/100], Step [200/207], Loss: 0.6834
|
||||
Epoch [62/100], Step [100/207], Loss: 0.6738
|
||||
Epoch [62/100], Step [200/207], Loss: 0.6870
|
||||
Epoch [63/100], Step [100/207], Loss: 0.6933
|
||||
Epoch [63/100], Step [200/207], Loss: 0.6803
|
||||
Epoch [64/100], Step [100/207], Loss: 0.6613
|
||||
Epoch [64/100], Step [200/207], Loss: 0.6773
|
||||
Epoch [65/100], Step [100/207], Loss: 0.6833
|
||||
Epoch [65/100], Step [200/207], Loss: 0.6991
|
||||
Epoch [66/100], Step [100/207], Loss: 0.6954
|
||||
Epoch [66/100], Step [200/207], Loss: 0.6755
|
||||
Epoch [67/100], Step [100/207], Loss: 0.6600
|
||||
Epoch [67/100], Step [200/207], Loss: 0.6537
|
||||
Epoch [68/100], Step [100/207], Loss: 0.7016
|
||||
Epoch [68/100], Step [200/207], Loss: 0.6687
|
||||
Epoch [69/100], Step [100/207], Loss: 0.6833
|
||||
Epoch [69/100], Step [200/207], Loss: 0.6837
|
||||
Epoch [70/100], Step [100/207], Loss: 0.6811
|
||||
Epoch [70/100], Step [200/207], Loss: 0.7081
|
||||
Epoch [71/100], Step [100/207], Loss: 0.6806
|
||||
Epoch [71/100], Step [200/207], Loss: 0.6769
|
||||
Epoch [72/100], Step [100/207], Loss: 0.6641
|
||||
Epoch [72/100], Step [200/207], Loss: 0.6811
|
||||
Epoch [73/100], Step [100/207], Loss: 0.6835
|
||||
Epoch [73/100], Step [200/207], Loss: 0.6744
|
||||
Epoch [74/100], Step [100/207], Loss: 0.6547
|
||||
Epoch [74/100], Step [200/207], Loss: 0.6668
|
||||
Epoch [75/100], Step [100/207], Loss: 0.6562
|
||||
Epoch [75/100], Step [200/207], Loss: 0.6870
|
||||
Epoch [76/100], Step [100/207], Loss: 0.6863
|
||||
Epoch [76/100], Step [200/207], Loss: 0.6938
|
||||
Epoch [77/100], Step [100/207], Loss: 0.6739
|
||||
Epoch [77/100], Step [200/207], Loss: 0.6389
|
||||
Epoch [78/100], Step [100/207], Loss: 0.6386
|
||||
Epoch [78/100], Step [200/207], Loss: 0.6599
|
||||
Epoch [79/100], Step [100/207], Loss: 0.6645
|
||||
Epoch [79/100], Step [200/207], Loss: 0.6776
|
||||
Epoch [80/100], Step [100/207], Loss: 0.6782
|
||||
Epoch [80/100], Step [200/207], Loss: 0.6834
|
||||
Epoch [81/100], Step [100/207], Loss: 0.6898
|
||||
Epoch [81/100], Step [200/207], Loss: 0.6893
|
||||
Epoch [82/100], Step [100/207], Loss: 0.6997
|
||||
Epoch [82/100], Step [200/207], Loss: 0.6758
|
||||
Epoch [83/100], Step [100/207], Loss: 0.6868
|
||||
Epoch [83/100], Step [200/207], Loss: 0.6693
|
||||
Epoch [84/100], Step [100/207], Loss: 0.6594
|
||||
Epoch [84/100], Step [200/207], Loss: 0.6862
|
||||
Epoch [85/100], Step [100/207], Loss: 0.6907
|
||||
Epoch [85/100], Step [200/207], Loss: 0.6769
|
||||
Epoch [86/100], Step [100/207], Loss: 0.6867
|
||||
Epoch [86/100], Step [200/207], Loss: 0.6805
|
||||
Epoch [87/100], Step [100/207], Loss: 0.7058
|
||||
Epoch [87/100], Step [200/207], Loss: 0.6836
|
||||
Epoch [88/100], Step [100/207], Loss: 0.6607
|
||||
Epoch [88/100], Step [200/207], Loss: 0.6728
|
||||
Epoch [89/100], Step [100/207], Loss: 0.6871
|
||||
Epoch [89/100], Step [200/207], Loss: 0.6952
|
||||
Epoch [90/100], Step [100/207], Loss: 0.6961
|
||||
Epoch [90/100], Step [200/207], Loss: 0.6860
|
||||
Epoch [91/100], Step [100/207], Loss: 0.6833
|
||||
Epoch [91/100], Step [200/207], Loss: 0.6900
|
||||
Epoch [92/100], Step [100/207], Loss: 0.6623
|
||||
Epoch [92/100], Step [200/207], Loss: 0.6861
|
||||
Epoch [93/100], Step [100/207], Loss: 0.6833
|
||||
Epoch [93/100], Step [200/207], Loss: 0.6804
|
||||
Epoch [94/100], Step [100/207], Loss: 0.6915
|
||||
Epoch [94/100], Step [200/207], Loss: 0.6952
|
||||
Epoch [95/100], Step [100/207], Loss: 0.6648
|
||||
Epoch [95/100], Step [200/207], Loss: 0.6630
|
||||
Epoch [96/100], Step [100/207], Loss: 0.6695
|
||||
Epoch [96/100], Step [200/207], Loss: 0.6908
|
||||
Epoch [97/100], Step [100/207], Loss: 0.6837
|
||||
Epoch [97/100], Step [200/207], Loss: 0.6934
|
||||
Epoch [98/100], Step [100/207], Loss: 0.6863
|
||||
Epoch [98/100], Step [200/207], Loss: 0.6898
|
||||
Epoch [99/100], Step [100/207], Loss: 0.6860
|
||||
Epoch [99/100], Step [200/207], Loss: 0.6835
|
||||
Epoch [100/100], Step [100/207], Loss: 0.6737
|
||||
Epoch [100/100], Step [200/207], Loss: 0.7070
|
||||
f1 :0.0
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.5778 1.0000 0.7324 3028
|
||||
1.0 0.0000 0.0000 0.0000 2213
|
||||
|
||||
accuracy 0.5778 5241
|
||||
macro avg 0.2889 0.5000 0.3662 5241
|
||||
weighted avg 0.3338 0.5778 0.4231 5241
|
||||
|
||||
[[3028 0]
|
||||
[2213 0]]
|
||||
parameters: batch_size:100, num_epochs:100, learning_rage:0.01
|
||||
-------------
|
||||
|
||||
Epoch [1/100], Step [100/207], Loss: 0.4183
|
||||
Epoch [1/100], Step [200/207], Loss: 0.3119
|
||||
Epoch [2/100], Step [100/207], Loss: 0.6171
|
||||
Epoch [2/100], Step [200/207], Loss: 0.4372
|
||||
Epoch [3/100], Step [100/207], Loss: 0.3393
|
||||
Epoch [3/100], Step [200/207], Loss: 0.3167
|
||||
Epoch [4/100], Step [100/207], Loss: 0.3548
|
||||
Epoch [4/100], Step [200/207], Loss: 0.3397
|
||||
Epoch [5/100], Step [100/207], Loss: 0.3671
|
||||
Epoch [5/100], Step [200/207], Loss: 0.2522
|
||||
Epoch [6/100], Step [100/207], Loss: 0.2113
|
||||
Epoch [6/100], Step [200/207], Loss: 0.3351
|
||||
Epoch [7/100], Step [100/207], Loss: 0.3132
|
||||
Epoch [7/100], Step [200/207], Loss: 0.2315
|
||||
Epoch [8/100], Step [100/207], Loss: 0.2142
|
||||
Epoch [8/100], Step [200/207], Loss: 0.2862
|
||||
Epoch [9/100], Step [100/207], Loss: 0.3079
|
||||
Epoch [9/100], Step [200/207], Loss: 0.2287
|
||||
Epoch [10/100], Step [100/207], Loss: 0.1736
|
||||
Epoch [10/100], Step [200/207], Loss: 0.2786
|
||||
Epoch [11/100], Step [100/207], Loss: 0.3882
|
||||
Epoch [11/100], Step [200/207], Loss: 0.1262
|
||||
Epoch [12/100], Step [100/207], Loss: 0.2097
|
||||
Epoch [12/100], Step [200/207], Loss: 0.2173
|
||||
Epoch [13/100], Step [100/207], Loss: 0.1966
|
||||
Epoch [13/100], Step [200/207], Loss: 0.0897
|
||||
Epoch [14/100], Step [100/207], Loss: 0.2640
|
||||
Epoch [14/100], Step [200/207], Loss: 0.2117
|
||||
Epoch [15/100], Step [100/207], Loss: 0.1231
|
||||
Epoch [15/100], Step [200/207], Loss: 0.1126
|
||||
Epoch [16/100], Step [100/207], Loss: 0.1028
|
||||
Epoch [16/100], Step [200/207], Loss: 0.1067
|
||||
Epoch [17/100], Step [100/207], Loss: 0.1815
|
||||
Epoch [17/100], Step [200/207], Loss: 0.1387
|
||||
Epoch [18/100], Step [100/207], Loss: 0.1612
|
||||
Epoch [18/100], Step [200/207], Loss: 0.0953
|
||||
Epoch [19/100], Step [100/207], Loss: 0.1887
|
||||
Epoch [19/100], Step [200/207], Loss: 0.1349
|
||||
Epoch [20/100], Step [100/207], Loss: 0.1506
|
||||
Epoch [20/100], Step [200/207], Loss: 0.0593
|
||||
Epoch [21/100], Step [100/207], Loss: 0.1208
|
||||
Epoch [21/100], Step [200/207], Loss: 0.1032
|
||||
Epoch [22/100], Step [100/207], Loss: 0.0868
|
||||
Epoch [22/100], Step [200/207], Loss: 0.0802
|
||||
Epoch [23/100], Step [100/207], Loss: 0.2060
|
||||
Epoch [23/100], Step [200/207], Loss: 0.1778
|
||||
Epoch [24/100], Step [100/207], Loss: 0.1285
|
||||
Epoch [24/100], Step [200/207], Loss: 0.1424
|
||||
Epoch [25/100], Step [100/207], Loss: 0.1088
|
||||
Epoch [25/100], Step [200/207], Loss: 0.1293
|
||||
Epoch [26/100], Step [100/207], Loss: 0.2240
|
||||
Epoch [26/100], Step [200/207], Loss: 0.2737
|
||||
Epoch [27/100], Step [100/207], Loss: 0.1695
|
||||
Epoch [27/100], Step [200/207], Loss: 0.1340
|
||||
Epoch [28/100], Step [100/207], Loss: 0.1410
|
||||
Epoch [28/100], Step [200/207], Loss: 0.2150
|
||||
Epoch [29/100], Step [100/207], Loss: 0.0577
|
||||
Epoch [29/100], Step [200/207], Loss: 0.1000
|
||||
Epoch [30/100], Step [100/207], Loss: 0.0322
|
||||
Epoch [30/100], Step [200/207], Loss: 0.1251
|
||||
Epoch [31/100], Step [100/207], Loss: 0.0790
|
||||
Epoch [31/100], Step [200/207], Loss: 0.1044
|
||||
Epoch [32/100], Step [100/207], Loss: 0.2068
|
||||
Epoch [32/100], Step [200/207], Loss: 0.0845
|
||||
Epoch [33/100], Step [100/207], Loss: 0.2508
|
||||
Epoch [33/100], Step [200/207], Loss: 0.0998
|
||||
Epoch [34/100], Step [100/207], Loss: 0.0364
|
||||
Epoch [34/100], Step [200/207], Loss: 0.1073
|
||||
Epoch [35/100], Step [100/207], Loss: 0.0898
|
||||
Epoch [35/100], Step [200/207], Loss: 0.0635
|
||||
Epoch [36/100], Step [100/207], Loss: 0.0802
|
||||
Epoch [36/100], Step [200/207], Loss: 0.0780
|
||||
Epoch [37/100], Step [100/207], Loss: 0.0825
|
||||
Epoch [37/100], Step [200/207], Loss: 0.0246
|
||||
Epoch [38/100], Step [100/207], Loss: 0.1136
|
||||
Epoch [38/100], Step [200/207], Loss: 0.2183
|
||||
Epoch [39/100], Step [100/207], Loss: 0.0884
|
||||
Epoch [39/100], Step [200/207], Loss: 0.0439
|
||||
Epoch [40/100], Step [100/207], Loss: 0.0675
|
||||
Epoch [40/100], Step [200/207], Loss: 0.1200
|
||||
Epoch [41/100], Step [100/207], Loss: 0.0897
|
||||
Epoch [41/100], Step [200/207], Loss: 0.0535
|
||||
Epoch [42/100], Step [100/207], Loss: 0.0330
|
||||
Epoch [42/100], Step [200/207], Loss: 0.0669
|
||||
Epoch [43/100], Step [100/207], Loss: 0.0975
|
||||
Epoch [43/100], Step [200/207], Loss: 0.1110
|
||||
Epoch [44/100], Step [100/207], Loss: 0.0957
|
||||
Epoch [44/100], Step [200/207], Loss: 0.0608
|
||||
Epoch [45/100], Step [100/207], Loss: 0.1677
|
||||
Epoch [45/100], Step [200/207], Loss: 0.0743
|
||||
Epoch [46/100], Step [100/207], Loss: 0.0884
|
||||
Epoch [46/100], Step [200/207], Loss: 0.0585
|
||||
Epoch [47/100], Step [100/207], Loss: 0.0659
|
||||
Epoch [47/100], Step [200/207], Loss: 0.1890
|
||||
Epoch [48/100], Step [100/207], Loss: 0.1372
|
||||
Epoch [48/100], Step [200/207], Loss: 0.0981
|
||||
Epoch [49/100], Step [100/207], Loss: 0.0267
|
||||
Epoch [49/100], Step [200/207], Loss: 0.0684
|
||||
Epoch [50/100], Step [100/207], Loss: 0.0171
|
||||
Epoch [50/100], Step [200/207], Loss: 0.0693
|
||||
Epoch [51/100], Step [100/207], Loss: 0.0651
|
||||
Epoch [51/100], Step [200/207], Loss: 0.0837
|
||||
Epoch [52/100], Step [100/207], Loss: 0.0903
|
||||
Epoch [52/100], Step [200/207], Loss: 0.1263
|
||||
Epoch [53/100], Step [100/207], Loss: 0.0311
|
||||
Epoch [53/100], Step [200/207], Loss: 0.0420
|
||||
Epoch [54/100], Step [100/207], Loss: 0.0162
|
||||
Epoch [54/100], Step [200/207], Loss: 0.0910
|
||||
Epoch [55/100], Step [100/207], Loss: 0.0862
|
||||
Epoch [55/100], Step [200/207], Loss: 0.0995
|
||||
Epoch [56/100], Step [100/207], Loss: 0.0984
|
||||
Epoch [56/100], Step [200/207], Loss: 0.1420
|
||||
Epoch [57/100], Step [100/207], Loss: 0.0757
|
||||
Epoch [57/100], Step [200/207], Loss: 0.0464
|
||||
Epoch [58/100], Step [100/207], Loss: 0.1270
|
||||
Epoch [58/100], Step [200/207], Loss: 0.0575
|
||||
Epoch [59/100], Step [100/207], Loss: 0.0161
|
||||
Epoch [59/100], Step [200/207], Loss: 0.0579
|
||||
Epoch [60/100], Step [100/207], Loss: 0.0890
|
||||
Epoch [60/100], Step [200/207], Loss: 0.0477
|
||||
Epoch [61/100], Step [100/207], Loss: 0.0224
|
||||
Epoch [61/100], Step [200/207], Loss: 0.0336
|
||||
Epoch [62/100], Step [100/207], Loss: 0.0569
|
||||
Epoch [62/100], Step [200/207], Loss: 0.0857
|
||||
Epoch [63/100], Step [100/207], Loss: 0.0792
|
||||
Epoch [63/100], Step [200/207], Loss: 0.1519
|
||||
Epoch [64/100], Step [100/207], Loss: 0.0533
|
||||
Epoch [64/100], Step [200/207], Loss: 0.1669
|
||||
Epoch [65/100], Step [100/207], Loss: 0.0571
|
||||
Epoch [65/100], Step [200/207], Loss: 0.0981
|
||||
Epoch [66/100], Step [100/207], Loss: 0.1036
|
||||
Epoch [66/100], Step [200/207], Loss: 0.0881
|
||||
Epoch [67/100], Step [100/207], Loss: 0.0510
|
||||
Epoch [67/100], Step [200/207], Loss: 0.1150
|
||||
Epoch [68/100], Step [100/207], Loss: 0.0681
|
||||
Epoch [68/100], Step [200/207], Loss: 0.1276
|
||||
Epoch [69/100], Step [100/207], Loss: 0.0596
|
||||
Epoch [69/100], Step [200/207], Loss: 0.0629
|
||||
Epoch [70/100], Step [100/207], Loss: 0.0146
|
||||
Epoch [70/100], Step [200/207], Loss: 0.2023
|
||||
Epoch [71/100], Step [100/207], Loss: 0.0197
|
||||
Epoch [71/100], Step [200/207], Loss: 0.0561
|
||||
Epoch [72/100], Step [100/207], Loss: 0.0472
|
||||
Epoch [72/100], Step [200/207], Loss: 0.0442
|
||||
Epoch [73/100], Step [100/207], Loss: 0.0115
|
||||
Epoch [73/100], Step [200/207], Loss: 0.0372
|
||||
Epoch [74/100], Step [100/207], Loss: 0.0551
|
||||
Epoch [74/100], Step [200/207], Loss: 0.0068
|
||||
Epoch [75/100], Step [100/207], Loss: 0.1155
|
||||
Epoch [75/100], Step [200/207], Loss: 0.0345
|
||||
Epoch [76/100], Step [100/207], Loss: 0.0660
|
||||
Epoch [76/100], Step [200/207], Loss: 0.0196
|
||||
Epoch [77/100], Step [100/207], Loss: 0.0274
|
||||
Epoch [77/100], Step [200/207], Loss: 0.0911
|
||||
Epoch [78/100], Step [100/207], Loss: 0.1111
|
||||
Epoch [78/100], Step [200/207], Loss: 0.1091
|
||||
Epoch [79/100], Step [100/207], Loss: 0.0951
|
||||
Epoch [79/100], Step [200/207], Loss: 0.1440
|
||||
Epoch [80/100], Step [100/207], Loss: 0.0200
|
||||
Epoch [80/100], Step [200/207], Loss: 0.0177
|
||||
Epoch [81/100], Step [100/207], Loss: 0.0689
|
||||
Epoch [81/100], Step [200/207], Loss: 0.0496
|
||||
Epoch [82/100], Step [100/207], Loss: 0.0246
|
||||
Epoch [82/100], Step [200/207], Loss: 0.0548
|
||||
Epoch [83/100], Step [100/207], Loss: 0.0249
|
||||
Epoch [83/100], Step [200/207], Loss: 0.1030
|
||||
Epoch [84/100], Step [100/207], Loss: 0.0168
|
||||
Epoch [84/100], Step [200/207], Loss: 0.0954
|
||||
Epoch [85/100], Step [100/207], Loss: 0.1479
|
||||
Epoch [85/100], Step [200/207], Loss: 0.1268
|
||||
Epoch [86/100], Step [100/207], Loss: 0.0270
|
||||
Epoch [86/100], Step [200/207], Loss: 0.0660
|
||||
Epoch [87/100], Step [100/207], Loss: 0.0264
|
||||
Epoch [87/100], Step [200/207], Loss: 0.0298
|
||||
Epoch [88/100], Step [100/207], Loss: 0.0938
|
||||
Epoch [88/100], Step [200/207], Loss: 0.0599
|
||||
Epoch [89/100], Step [100/207], Loss: 0.0782
|
||||
Epoch [89/100], Step [200/207], Loss: 0.0279
|
||||
Epoch [90/100], Step [100/207], Loss: 0.0746
|
||||
Epoch [90/100], Step [200/207], Loss: 0.0561
|
||||
Epoch [91/100], Step [100/207], Loss: 0.0660
|
||||
Epoch [91/100], Step [200/207], Loss: 0.0409
|
||||
Epoch [92/100], Step [100/207], Loss: 0.0208
|
||||
Epoch [92/100], Step [200/207], Loss: 0.0537
|
||||
Epoch [93/100], Step [100/207], Loss: 0.1397
|
||||
Epoch [93/100], Step [200/207], Loss: 0.0905
|
||||
Epoch [94/100], Step [100/207], Loss: 0.0172
|
||||
Epoch [94/100], Step [200/207], Loss: 0.0729
|
||||
Epoch [95/100], Step [100/207], Loss: 0.0679
|
||||
Epoch [95/100], Step [200/207], Loss: 0.0540
|
||||
Epoch [96/100], Step [100/207], Loss: 0.0226
|
||||
Epoch [96/100], Step [200/207], Loss: 0.0201
|
||||
Epoch [97/100], Step [100/207], Loss: 0.0572
|
||||
Epoch [97/100], Step [200/207], Loss: 0.0184
|
||||
Epoch [98/100], Step [100/207], Loss: 0.0318
|
||||
Epoch [98/100], Step [200/207], Loss: 0.0317
|
||||
Epoch [99/100], Step [100/207], Loss: 0.0109
|
||||
Epoch [99/100], Step [200/207], Loss: 0.0667
|
||||
Epoch [100/100], Step [100/207], Loss: 0.0133
|
||||
Epoch [100/100], Step [200/207], Loss: 0.0337
|
||||
f1 :0.9578683671145524
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9641 0.9752 0.9696 3028
|
||||
1.0 0.9656 0.9503 0.9579 2213
|
||||
|
||||
accuracy 0.9647 5241
|
||||
macro avg 0.9648 0.9628 0.9637 5241
|
||||
weighted avg 0.9647 0.9647 0.9647 5241
|
||||
|
||||
[[2953 75]
|
||||
[ 110 2103]]
|
||||
parameters: batch_size:100, num_epochs:100, learning_rage:0.001
|
||||
1319
代码/sequenceShield/论文数据/cicids.log
Normal file
1319
代码/sequenceShield/论文数据/cicids.log
Normal file
File diff suppressed because it is too large
Load Diff
647
代码/sequenceShield/论文数据/ss-gru-cicddos2019.log
Normal file
647
代码/sequenceShield/论文数据/ss-gru-cicddos2019.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Wed, 14 Sep 2022 14:23:07: -------------
|
||||
Wed, 14 Sep 2022 14:23:07: cuda is_available:True
|
||||
Wed, 14 Sep 2022 14:23:07: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 14:23:07: get protocols:
|
||||
Wed, 14 Sep 2022 14:23:07: reading csv file: all.csv
|
||||
Wed, 14 Sep 2022 14:24:53: procols num: 484
|
||||
Wed, 14 Sep 2022 14:24:53: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Wed, 14 Sep 2022 14:24:55: preprocessing file ./cicddos2019/label/all.csv
|
||||
Wed, 14 Sep 2022 14:25:51: before sampling number_1:1546004
|
||||
Wed, 14 Sep 2022 14:25:51: before sampling number_0:20691
|
||||
Wed, 14 Sep 2022 14:49:49: start training ./cicddos2019/label/all.csv
|
||||
Wed, 14 Sep 2022 14:50:00: Epoch [1/10], Step [200/12534], Loss: 0.0651
|
||||
Wed, 14 Sep 2022 14:50:11: Epoch [1/10], Step [400/12534], Loss: 0.0041
|
||||
Wed, 14 Sep 2022 14:50:21: Epoch [1/10], Step [600/12534], Loss: 0.0649
|
||||
Wed, 14 Sep 2022 14:50:31: Epoch [1/10], Step [800/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 14:50:42: Epoch [1/10], Step [1000/12534], Loss: 0.0356
|
||||
Wed, 14 Sep 2022 14:50:52: Epoch [1/10], Step [1200/12534], Loss: 0.0118
|
||||
Wed, 14 Sep 2022 14:51:02: Epoch [1/10], Step [1400/12534], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 14:51:12: Epoch [1/10], Step [1600/12534], Loss: 0.0280
|
||||
Wed, 14 Sep 2022 14:51:22: Epoch [1/10], Step [1800/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 14:51:32: Epoch [1/10], Step [2000/12534], Loss: 0.0229
|
||||
Wed, 14 Sep 2022 14:51:42: Epoch [1/10], Step [2200/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 14:51:52: Epoch [1/10], Step [2400/12534], Loss: 0.0113
|
||||
Wed, 14 Sep 2022 14:52:02: Epoch [1/10], Step [2600/12534], Loss: 0.0038
|
||||
Wed, 14 Sep 2022 14:52:12: Epoch [1/10], Step [2800/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 14:52:22: Epoch [1/10], Step [3000/12534], Loss: 0.0099
|
||||
Wed, 14 Sep 2022 14:52:33: Epoch [1/10], Step [3200/12534], Loss: 0.0116
|
||||
Wed, 14 Sep 2022 14:52:43: Epoch [1/10], Step [3400/12534], Loss: 0.0213
|
||||
Wed, 14 Sep 2022 14:52:53: Epoch [1/10], Step [3600/12534], Loss: 0.0037
|
||||
Wed, 14 Sep 2022 14:53:03: Epoch [1/10], Step [3800/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 14:53:13: Epoch [1/10], Step [4000/12534], Loss: 0.0405
|
||||
Wed, 14 Sep 2022 14:53:23: Epoch [1/10], Step [4200/12534], Loss: 0.0121
|
||||
Wed, 14 Sep 2022 14:53:33: Epoch [1/10], Step [4400/12534], Loss: 0.0064
|
||||
Wed, 14 Sep 2022 14:53:43: Epoch [1/10], Step [4600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:53:53: Epoch [1/10], Step [4800/12534], Loss: 0.0313
|
||||
Wed, 14 Sep 2022 14:54:03: Epoch [1/10], Step [5000/12534], Loss: 0.0178
|
||||
Wed, 14 Sep 2022 14:54:13: Epoch [1/10], Step [5200/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 14:54:23: Epoch [1/10], Step [5400/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 14:54:33: Epoch [1/10], Step [5600/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 14:54:43: Epoch [1/10], Step [5800/12534], Loss: 0.0170
|
||||
Wed, 14 Sep 2022 14:54:53: Epoch [1/10], Step [6000/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 14:55:04: Epoch [1/10], Step [6200/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 14:55:14: Epoch [1/10], Step [6400/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 14:55:24: Epoch [1/10], Step [6600/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 14:55:34: Epoch [1/10], Step [6800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 14:55:44: Epoch [1/10], Step [7000/12534], Loss: 0.0338
|
||||
Wed, 14 Sep 2022 14:55:54: Epoch [1/10], Step [7200/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 14:56:04: Epoch [1/10], Step [7400/12534], Loss: 0.0051
|
||||
Wed, 14 Sep 2022 14:56:14: Epoch [1/10], Step [7600/12534], Loss: 0.0034
|
||||
Wed, 14 Sep 2022 14:56:25: Epoch [1/10], Step [7800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:56:35: Epoch [1/10], Step [8000/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 14:56:45: Epoch [1/10], Step [8200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:56:55: Epoch [1/10], Step [8400/12534], Loss: 0.0523
|
||||
Wed, 14 Sep 2022 14:57:06: Epoch [1/10], Step [8600/12534], Loss: 0.0065
|
||||
Wed, 14 Sep 2022 14:57:15: Epoch [1/10], Step [8800/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 14:57:26: Epoch [1/10], Step [9000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 14:57:36: Epoch [1/10], Step [9200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:57:47: Epoch [1/10], Step [9400/12534], Loss: 0.0440
|
||||
Wed, 14 Sep 2022 14:57:57: Epoch [1/10], Step [9600/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 14:58:07: Epoch [1/10], Step [9800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 14:58:17: Epoch [1/10], Step [10000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 14:58:28: Epoch [1/10], Step [10200/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 14:58:38: Epoch [1/10], Step [10400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 14:58:48: Epoch [1/10], Step [10600/12534], Loss: 0.0200
|
||||
Wed, 14 Sep 2022 14:58:59: Epoch [1/10], Step [10800/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 14:59:09: Epoch [1/10], Step [11000/12534], Loss: 0.0221
|
||||
Wed, 14 Sep 2022 14:59:20: Epoch [1/10], Step [11200/12534], Loss: 0.0329
|
||||
Wed, 14 Sep 2022 14:59:30: Epoch [1/10], Step [11400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:59:41: Epoch [1/10], Step [11600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 14:59:52: Epoch [1/10], Step [11800/12534], Loss: 0.0034
|
||||
Wed, 14 Sep 2022 15:00:03: Epoch [1/10], Step [12000/12534], Loss: 0.0105
|
||||
Wed, 14 Sep 2022 15:00:13: Epoch [1/10], Step [12200/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 15:00:24: Epoch [1/10], Step [12400/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 15:00:42: Epoch [2/10], Step [200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:00:53: Epoch [2/10], Step [400/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 15:01:04: Epoch [2/10], Step [600/12534], Loss: 0.0040
|
||||
Wed, 14 Sep 2022 15:01:15: Epoch [2/10], Step [800/12534], Loss: 0.0040
|
||||
Wed, 14 Sep 2022 15:01:26: Epoch [2/10], Step [1000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:01:37: Epoch [2/10], Step [1200/12534], Loss: 0.0373
|
||||
Wed, 14 Sep 2022 15:01:48: Epoch [2/10], Step [1400/12534], Loss: 0.0140
|
||||
Wed, 14 Sep 2022 15:01:59: Epoch [2/10], Step [1600/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 15:02:10: Epoch [2/10], Step [1800/12534], Loss: 0.0169
|
||||
Wed, 14 Sep 2022 15:02:21: Epoch [2/10], Step [2000/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 15:02:32: Epoch [2/10], Step [2200/12534], Loss: 0.0186
|
||||
Wed, 14 Sep 2022 15:02:43: Epoch [2/10], Step [2400/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 15:02:54: Epoch [2/10], Step [2600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:03:05: Epoch [2/10], Step [2800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:03:16: Epoch [2/10], Step [3000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:03:27: Epoch [2/10], Step [3200/12534], Loss: 0.0252
|
||||
Wed, 14 Sep 2022 15:03:39: Epoch [2/10], Step [3400/12534], Loss: 0.0064
|
||||
Wed, 14 Sep 2022 15:03:50: Epoch [2/10], Step [3600/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 15:04:01: Epoch [2/10], Step [3800/12534], Loss: 0.0053
|
||||
Wed, 14 Sep 2022 15:04:12: Epoch [2/10], Step [4000/12534], Loss: 0.0255
|
||||
Wed, 14 Sep 2022 15:04:23: Epoch [2/10], Step [4200/12534], Loss: 0.0035
|
||||
Wed, 14 Sep 2022 15:04:34: Epoch [2/10], Step [4400/12534], Loss: 0.0091
|
||||
Wed, 14 Sep 2022 15:04:44: Epoch [2/10], Step [4600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:04:55: Epoch [2/10], Step [4800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:05:06: Epoch [2/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:05:17: Epoch [2/10], Step [5200/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 15:05:28: Epoch [2/10], Step [5400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:05:39: Epoch [2/10], Step [5600/12534], Loss: 0.0101
|
||||
Wed, 14 Sep 2022 15:05:50: Epoch [2/10], Step [5800/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 15:06:01: Epoch [2/10], Step [6000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:06:12: Epoch [2/10], Step [6200/12534], Loss: 0.0026
|
||||
Wed, 14 Sep 2022 15:06:23: Epoch [2/10], Step [6400/12534], Loss: 0.0237
|
||||
Wed, 14 Sep 2022 15:06:34: Epoch [2/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:06:45: Epoch [2/10], Step [6800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:06:56: Epoch [2/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:07:06: Epoch [2/10], Step [7200/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 15:07:17: Epoch [2/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:07:28: Epoch [2/10], Step [7600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:07:39: Epoch [2/10], Step [7800/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 15:07:50: Epoch [2/10], Step [8000/12534], Loss: 0.0142
|
||||
Wed, 14 Sep 2022 15:08:01: Epoch [2/10], Step [8200/12534], Loss: 0.0201
|
||||
Wed, 14 Sep 2022 15:08:12: Epoch [2/10], Step [8400/12534], Loss: 0.0059
|
||||
Wed, 14 Sep 2022 15:08:23: Epoch [2/10], Step [8600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:08:33: Epoch [2/10], Step [8800/12534], Loss: 0.0302
|
||||
Wed, 14 Sep 2022 15:08:44: Epoch [2/10], Step [9000/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:08:55: Epoch [2/10], Step [9200/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 15:09:06: Epoch [2/10], Step [9400/12534], Loss: 0.0190
|
||||
Wed, 14 Sep 2022 15:09:16: Epoch [2/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:09:27: Epoch [2/10], Step [9800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:09:38: Epoch [2/10], Step [10000/12534], Loss: 0.0125
|
||||
Wed, 14 Sep 2022 15:09:49: Epoch [2/10], Step [10200/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 15:10:00: Epoch [2/10], Step [10400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:10:10: Epoch [2/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:10:21: Epoch [2/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:10:32: Epoch [2/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:10:43: Epoch [2/10], Step [11200/12534], Loss: 0.0167
|
||||
Wed, 14 Sep 2022 15:10:54: Epoch [2/10], Step [11400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:11:04: Epoch [2/10], Step [11600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:11:15: Epoch [2/10], Step [11800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:11:26: Epoch [2/10], Step [12000/12534], Loss: 0.0206
|
||||
Wed, 14 Sep 2022 15:11:37: Epoch [2/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:11:48: Epoch [2/10], Step [12400/12534], Loss: 0.0058
|
||||
Wed, 14 Sep 2022 15:12:06: Epoch [3/10], Step [200/12534], Loss: 0.0101
|
||||
Wed, 14 Sep 2022 15:12:17: Epoch [3/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:12:28: Epoch [3/10], Step [600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:12:39: Epoch [3/10], Step [800/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 15:12:49: Epoch [3/10], Step [1000/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:13:00: Epoch [3/10], Step [1200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:13:11: Epoch [3/10], Step [1400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:13:22: Epoch [3/10], Step [1600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:13:33: Epoch [3/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:13:43: Epoch [3/10], Step [2000/12534], Loss: 0.0160
|
||||
Wed, 14 Sep 2022 15:13:54: Epoch [3/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:14:05: Epoch [3/10], Step [2400/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 15:14:16: Epoch [3/10], Step [2600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:14:27: Epoch [3/10], Step [2800/12534], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 15:14:38: Epoch [3/10], Step [3000/12534], Loss: 0.0123
|
||||
Wed, 14 Sep 2022 15:14:48: Epoch [3/10], Step [3200/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 15:14:59: Epoch [3/10], Step [3400/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 15:15:10: Epoch [3/10], Step [3600/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:15:21: Epoch [3/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:15:32: Epoch [3/10], Step [4000/12534], Loss: 0.0035
|
||||
Wed, 14 Sep 2022 15:15:42: Epoch [3/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:15:53: Epoch [3/10], Step [4400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:16:04: Epoch [3/10], Step [4600/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:16:15: Epoch [3/10], Step [4800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:16:26: Epoch [3/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:16:37: Epoch [3/10], Step [5200/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:16:47: Epoch [3/10], Step [5400/12534], Loss: 0.0057
|
||||
Wed, 14 Sep 2022 15:16:58: Epoch [3/10], Step [5600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:17:08: Epoch [3/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:17:19: Epoch [3/10], Step [6000/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 15:17:30: Epoch [3/10], Step [6200/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:17:40: Epoch [3/10], Step [6400/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 15:17:50: Epoch [3/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:18:01: Epoch [3/10], Step [6800/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:18:11: Epoch [3/10], Step [7000/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 15:18:21: Epoch [3/10], Step [7200/12534], Loss: 0.0075
|
||||
Wed, 14 Sep 2022 15:18:31: Epoch [3/10], Step [7400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:18:42: Epoch [3/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:18:52: Epoch [3/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:19:03: Epoch [3/10], Step [8000/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 15:19:13: Epoch [3/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:19:23: Epoch [3/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:19:33: Epoch [3/10], Step [8600/12534], Loss: 0.0130
|
||||
Wed, 14 Sep 2022 15:19:43: Epoch [3/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:19:54: Epoch [3/10], Step [9000/12534], Loss: 0.0030
|
||||
Wed, 14 Sep 2022 15:20:04: Epoch [3/10], Step [9200/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 15:20:14: Epoch [3/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:20:24: Epoch [3/10], Step [9600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 15:20:34: Epoch [3/10], Step [9800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 15:20:44: Epoch [3/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:20:54: Epoch [3/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:21:05: Epoch [3/10], Step [10400/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:21:15: Epoch [3/10], Step [10600/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 15:21:25: Epoch [3/10], Step [10800/12534], Loss: 0.0034
|
||||
Wed, 14 Sep 2022 15:21:35: Epoch [3/10], Step [11000/12534], Loss: 0.0138
|
||||
Wed, 14 Sep 2022 15:21:46: Epoch [3/10], Step [11200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:21:56: Epoch [3/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:22:06: Epoch [3/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:22:17: Epoch [3/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:22:27: Epoch [3/10], Step [12000/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 15:22:37: Epoch [3/10], Step [12200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:22:47: Epoch [3/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:23:05: Epoch [4/10], Step [200/12534], Loss: 0.0070
|
||||
Wed, 14 Sep 2022 15:23:15: Epoch [4/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:23:25: Epoch [4/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:23:35: Epoch [4/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:23:45: Epoch [4/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:23:55: Epoch [4/10], Step [1200/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 15:24:06: Epoch [4/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:24:16: Epoch [4/10], Step [1600/12534], Loss: 0.0079
|
||||
Wed, 14 Sep 2022 15:24:27: Epoch [4/10], Step [1800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:24:38: Epoch [4/10], Step [2000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:24:48: Epoch [4/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:24:59: Epoch [4/10], Step [2400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:25:10: Epoch [4/10], Step [2600/12534], Loss: 0.0051
|
||||
Wed, 14 Sep 2022 15:25:20: Epoch [4/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:25:31: Epoch [4/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:25:41: Epoch [4/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:25:51: Epoch [4/10], Step [3400/12534], Loss: 0.0092
|
||||
Wed, 14 Sep 2022 15:26:02: Epoch [4/10], Step [3600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:26:12: Epoch [4/10], Step [3800/12534], Loss: 0.0163
|
||||
Wed, 14 Sep 2022 15:26:23: Epoch [4/10], Step [4000/12534], Loss: 0.0287
|
||||
Wed, 14 Sep 2022 15:26:33: Epoch [4/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:26:43: Epoch [4/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:26:54: Epoch [4/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:27:04: Epoch [4/10], Step [4800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:27:14: Epoch [4/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:27:24: Epoch [4/10], Step [5200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:27:35: Epoch [4/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:27:45: Epoch [4/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:27:55: Epoch [4/10], Step [5800/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 15:28:05: Epoch [4/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:28:16: Epoch [4/10], Step [6200/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 15:28:26: Epoch [4/10], Step [6400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:28:36: Epoch [4/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:28:47: Epoch [4/10], Step [6800/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 15:28:57: Epoch [4/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:29:07: Epoch [4/10], Step [7200/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 15:29:18: Epoch [4/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:29:28: Epoch [4/10], Step [7600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:29:39: Epoch [4/10], Step [7800/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 15:29:49: Epoch [4/10], Step [8000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:29:59: Epoch [4/10], Step [8200/12534], Loss: 0.0073
|
||||
Wed, 14 Sep 2022 15:30:10: Epoch [4/10], Step [8400/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 15:30:20: Epoch [4/10], Step [8600/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 15:30:30: Epoch [4/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:30:40: Epoch [4/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:30:51: Epoch [4/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:31:01: Epoch [4/10], Step [9400/12534], Loss: 0.0060
|
||||
Wed, 14 Sep 2022 15:31:12: Epoch [4/10], Step [9600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:31:22: Epoch [4/10], Step [9800/12534], Loss: 0.0069
|
||||
Wed, 14 Sep 2022 15:31:32: Epoch [4/10], Step [10000/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:31:42: Epoch [4/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:31:53: Epoch [4/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:32:03: Epoch [4/10], Step [10600/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 15:32:13: Epoch [4/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:32:23: Epoch [4/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:32:34: Epoch [4/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:32:44: Epoch [4/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:32:54: Epoch [4/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:33:05: Epoch [4/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:33:15: Epoch [4/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:33:25: Epoch [4/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:33:35: Epoch [4/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:33:53: Epoch [5/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:34:03: Epoch [5/10], Step [400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:34:13: Epoch [5/10], Step [600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:34:23: Epoch [5/10], Step [800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:34:34: Epoch [5/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:34:44: Epoch [5/10], Step [1200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:34:54: Epoch [5/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:35:05: Epoch [5/10], Step [1600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:35:15: Epoch [5/10], Step [1800/12534], Loss: 0.0038
|
||||
Wed, 14 Sep 2022 15:35:25: Epoch [5/10], Step [2000/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:35:35: Epoch [5/10], Step [2200/12534], Loss: 0.0026
|
||||
Wed, 14 Sep 2022 15:35:45: Epoch [5/10], Step [2400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 15:35:55: Epoch [5/10], Step [2600/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 15:36:06: Epoch [5/10], Step [2800/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:36:16: Epoch [5/10], Step [3000/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 15:36:26: Epoch [5/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:36:36: Epoch [5/10], Step [3400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:36:47: Epoch [5/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:36:57: Epoch [5/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:37:07: Epoch [5/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:37:17: Epoch [5/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:37:28: Epoch [5/10], Step [4400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:37:38: Epoch [5/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:37:48: Epoch [5/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:37:59: Epoch [5/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:38:09: Epoch [5/10], Step [5200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:38:19: Epoch [5/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:38:30: Epoch [5/10], Step [5600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:38:40: Epoch [5/10], Step [5800/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 15:38:50: Epoch [5/10], Step [6000/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 15:39:01: Epoch [5/10], Step [6200/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 15:39:11: Epoch [5/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:39:21: Epoch [5/10], Step [6600/12534], Loss: 0.0037
|
||||
Wed, 14 Sep 2022 15:39:31: Epoch [5/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:39:41: Epoch [5/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:39:52: Epoch [5/10], Step [7200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:40:02: Epoch [5/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:40:12: Epoch [5/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:40:23: Epoch [5/10], Step [7800/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 15:40:33: Epoch [5/10], Step [8000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:40:43: Epoch [5/10], Step [8200/12534], Loss: 0.0232
|
||||
Wed, 14 Sep 2022 15:40:53: Epoch [5/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:41:03: Epoch [5/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:41:14: Epoch [5/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:41:24: Epoch [5/10], Step [9000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:41:34: Epoch [5/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:41:44: Epoch [5/10], Step [9400/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 15:41:54: Epoch [5/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:42:05: Epoch [5/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:42:15: Epoch [5/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:42:25: Epoch [5/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:42:36: Epoch [5/10], Step [10400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:42:46: Epoch [5/10], Step [10600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:42:56: Epoch [5/10], Step [10800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:43:07: Epoch [5/10], Step [11000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:43:17: Epoch [5/10], Step [11200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:43:28: Epoch [5/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:43:38: Epoch [5/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:43:48: Epoch [5/10], Step [11800/12534], Loss: 0.0048
|
||||
Wed, 14 Sep 2022 15:43:58: Epoch [5/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:44:08: Epoch [5/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:44:18: Epoch [5/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:44:36: Epoch [6/10], Step [200/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 15:44:46: Epoch [6/10], Step [400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:44:56: Epoch [6/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:45:06: Epoch [6/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:45:17: Epoch [6/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:45:27: Epoch [6/10], Step [1200/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 15:45:37: Epoch [6/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:45:47: Epoch [6/10], Step [1600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:45:57: Epoch [6/10], Step [1800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:46:07: Epoch [6/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:46:17: Epoch [6/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:46:28: Epoch [6/10], Step [2400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:46:38: Epoch [6/10], Step [2600/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 15:46:48: Epoch [6/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:46:58: Epoch [6/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:47:09: Epoch [6/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:47:19: Epoch [6/10], Step [3400/12534], Loss: 0.0045
|
||||
Wed, 14 Sep 2022 15:47:29: Epoch [6/10], Step [3600/12534], Loss: 0.0024
|
||||
Wed, 14 Sep 2022 15:47:39: Epoch [6/10], Step [3800/12534], Loss: 0.0040
|
||||
Wed, 14 Sep 2022 15:47:50: Epoch [6/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:48:00: Epoch [6/10], Step [4200/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 15:48:10: Epoch [6/10], Step [4400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:48:20: Epoch [6/10], Step [4600/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 15:48:30: Epoch [6/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:48:40: Epoch [6/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:48:50: Epoch [6/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:49:01: Epoch [6/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:49:12: Epoch [6/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:49:22: Epoch [6/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:49:33: Epoch [6/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:49:44: Epoch [6/10], Step [6200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:49:55: Epoch [6/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:05: Epoch [6/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:16: Epoch [6/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:27: Epoch [6/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:37: Epoch [6/10], Step [7200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:47: Epoch [6/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:50:58: Epoch [6/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:51:08: Epoch [6/10], Step [7800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 15:51:18: Epoch [6/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:51:28: Epoch [6/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:51:38: Epoch [6/10], Step [8400/12534], Loss: 0.0031
|
||||
Wed, 14 Sep 2022 15:51:49: Epoch [6/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:51:59: Epoch [6/10], Step [8800/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 15:52:10: Epoch [6/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:52:20: Epoch [6/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:52:30: Epoch [6/10], Step [9400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:52:41: Epoch [6/10], Step [9600/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 15:52:51: Epoch [6/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:53:01: Epoch [6/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:53:12: Epoch [6/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:53:22: Epoch [6/10], Step [10400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:53:32: Epoch [6/10], Step [10600/12534], Loss: 0.0040
|
||||
Wed, 14 Sep 2022 15:53:42: Epoch [6/10], Step [10800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 15:53:53: Epoch [6/10], Step [11000/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 15:54:03: Epoch [6/10], Step [11200/12534], Loss: 0.0169
|
||||
Wed, 14 Sep 2022 15:54:13: Epoch [6/10], Step [11400/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 15:54:23: Epoch [6/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:54:34: Epoch [6/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:54:44: Epoch [6/10], Step [12000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:54:54: Epoch [6/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:55:05: Epoch [6/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:55:22: Epoch [7/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:55:33: Epoch [7/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:55:43: Epoch [7/10], Step [600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:55:53: Epoch [7/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:56:04: Epoch [7/10], Step [1000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:56:14: Epoch [7/10], Step [1200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:56:24: Epoch [7/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:56:35: Epoch [7/10], Step [1600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:56:45: Epoch [7/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:56:55: Epoch [7/10], Step [2000/12534], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 15:57:06: Epoch [7/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:57:16: Epoch [7/10], Step [2400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:57:27: Epoch [7/10], Step [2600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 15:57:37: Epoch [7/10], Step [2800/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 15:57:47: Epoch [7/10], Step [3000/12534], Loss: 0.0197
|
||||
Wed, 14 Sep 2022 15:57:58: Epoch [7/10], Step [3200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 15:58:08: Epoch [7/10], Step [3400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 15:58:18: Epoch [7/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:58:28: Epoch [7/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:58:38: Epoch [7/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:58:48: Epoch [7/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:58:59: Epoch [7/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:59:09: Epoch [7/10], Step [4600/12534], Loss: 0.0024
|
||||
Wed, 14 Sep 2022 15:59:19: Epoch [7/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 15:59:29: Epoch [7/10], Step [5000/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 15:59:39: Epoch [7/10], Step [5200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 15:59:50: Epoch [7/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:00:00: Epoch [7/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:00:10: Epoch [7/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:00:20: Epoch [7/10], Step [6000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 16:00:30: Epoch [7/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:00:40: Epoch [7/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:00:50: Epoch [7/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:01:01: Epoch [7/10], Step [6800/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 16:01:11: Epoch [7/10], Step [7000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 16:01:21: Epoch [7/10], Step [7200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:01:32: Epoch [7/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:01:42: Epoch [7/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:01:52: Epoch [7/10], Step [7800/12534], Loss: 0.0040
|
||||
Wed, 14 Sep 2022 16:02:03: Epoch [7/10], Step [8000/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 16:02:13: Epoch [7/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:02:23: Epoch [7/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:02:33: Epoch [7/10], Step [8600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:02:43: Epoch [7/10], Step [8800/12534], Loss: 0.0231
|
||||
Wed, 14 Sep 2022 16:02:53: Epoch [7/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:03:04: Epoch [7/10], Step [9200/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 16:03:14: Epoch [7/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:03:24: Epoch [7/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:03:35: Epoch [7/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:03:45: Epoch [7/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:03:55: Epoch [7/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:04:05: Epoch [7/10], Step [10400/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 16:04:16: Epoch [7/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:04:26: Epoch [7/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:04:36: Epoch [7/10], Step [11000/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 16:04:47: Epoch [7/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:04:57: Epoch [7/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:05:07: Epoch [7/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:05:17: Epoch [7/10], Step [11800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 16:05:27: Epoch [7/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:05:37: Epoch [7/10], Step [12200/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 16:05:47: Epoch [7/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:06:04: Epoch [8/10], Step [200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:06:15: Epoch [8/10], Step [400/12534], Loss: 0.0237
|
||||
Wed, 14 Sep 2022 16:06:25: Epoch [8/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:06:35: Epoch [8/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:06:45: Epoch [8/10], Step [1000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 16:06:55: Epoch [8/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:07:05: Epoch [8/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:07:16: Epoch [8/10], Step [1600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:07:26: Epoch [8/10], Step [1800/12534], Loss: 0.0049
|
||||
Wed, 14 Sep 2022 16:07:36: Epoch [8/10], Step [2000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:07:46: Epoch [8/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:07:56: Epoch [8/10], Step [2400/12534], Loss: 0.0183
|
||||
Wed, 14 Sep 2022 16:08:07: Epoch [8/10], Step [2600/12534], Loss: 0.0030
|
||||
Wed, 14 Sep 2022 16:08:17: Epoch [8/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:08:27: Epoch [8/10], Step [3000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:08:37: Epoch [8/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:08:47: Epoch [8/10], Step [3400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:08:58: Epoch [8/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:09:08: Epoch [8/10], Step [3800/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 16:09:18: Epoch [8/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:09:28: Epoch [8/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:09:39: Epoch [8/10], Step [4400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 16:09:49: Epoch [8/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:09:59: Epoch [8/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:10:09: Epoch [8/10], Step [5000/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 16:10:19: Epoch [8/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:10:30: Epoch [8/10], Step [5400/12534], Loss: 0.0079
|
||||
Wed, 14 Sep 2022 16:10:40: Epoch [8/10], Step [5600/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 16:10:50: Epoch [8/10], Step [5800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 16:11:00: Epoch [8/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:11:11: Epoch [8/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:11:21: Epoch [8/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:11:31: Epoch [8/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:11:41: Epoch [8/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:11:52: Epoch [8/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:12:02: Epoch [8/10], Step [7200/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 16:12:12: Epoch [8/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:12:22: Epoch [8/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:12:32: Epoch [8/10], Step [7800/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 16:12:42: Epoch [8/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:12:52: Epoch [8/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:13:02: Epoch [8/10], Step [8400/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 16:13:12: Epoch [8/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:13:22: Epoch [8/10], Step [8800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 16:13:32: Epoch [8/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:13:42: Epoch [8/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:13:53: Epoch [8/10], Step [9400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:14:03: Epoch [8/10], Step [9600/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 16:14:13: Epoch [8/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:14:23: Epoch [8/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:14:33: Epoch [8/10], Step [10200/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 16:14:43: Epoch [8/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:14:53: Epoch [8/10], Step [10600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 16:15:03: Epoch [8/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:15:13: Epoch [8/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:15:24: Epoch [8/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:15:34: Epoch [8/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:15:44: Epoch [8/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:15:55: Epoch [8/10], Step [11800/12534], Loss: 0.0706
|
||||
Wed, 14 Sep 2022 16:16:05: Epoch [8/10], Step [12000/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 16:16:15: Epoch [8/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:16:25: Epoch [8/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:16:43: Epoch [9/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:16:53: Epoch [9/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:17:03: Epoch [9/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:17:13: Epoch [9/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:17:23: Epoch [9/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:17:33: Epoch [9/10], Step [1200/12534], Loss: 0.0301
|
||||
Wed, 14 Sep 2022 16:17:43: Epoch [9/10], Step [1400/12534], Loss: 0.0020
|
||||
Wed, 14 Sep 2022 16:17:54: Epoch [9/10], Step [1600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:18:04: Epoch [9/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:18:14: Epoch [9/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:18:24: Epoch [9/10], Step [2200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 16:18:34: Epoch [9/10], Step [2400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:18:44: Epoch [9/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:18:55: Epoch [9/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:19:05: Epoch [9/10], Step [3000/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 16:19:15: Epoch [9/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:19:25: Epoch [9/10], Step [3400/12534], Loss: 0.0020
|
||||
Wed, 14 Sep 2022 16:19:35: Epoch [9/10], Step [3600/12534], Loss: 0.0045
|
||||
Wed, 14 Sep 2022 16:19:45: Epoch [9/10], Step [3800/12534], Loss: 0.0156
|
||||
Wed, 14 Sep 2022 16:19:55: Epoch [9/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:05: Epoch [9/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:16: Epoch [9/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:26: Epoch [9/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:36: Epoch [9/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:46: Epoch [9/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:20:56: Epoch [9/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:21:06: Epoch [9/10], Step [5400/12534], Loss: 0.0024
|
||||
Wed, 14 Sep 2022 16:21:17: Epoch [9/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:21:27: Epoch [9/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:21:37: Epoch [9/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:21:47: Epoch [9/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:21:57: Epoch [9/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:08: Epoch [9/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:18: Epoch [9/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:28: Epoch [9/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:38: Epoch [9/10], Step [7200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:48: Epoch [9/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:22:58: Epoch [9/10], Step [7600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 16:23:09: Epoch [9/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:23:19: Epoch [9/10], Step [8000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:23:30: Epoch [9/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:23:40: Epoch [9/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:23:50: Epoch [9/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:24:00: Epoch [9/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:24:10: Epoch [9/10], Step [9000/12534], Loss: 0.0055
|
||||
Wed, 14 Sep 2022 16:24:20: Epoch [9/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:24:31: Epoch [9/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:24:41: Epoch [9/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:24:51: Epoch [9/10], Step [9800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:25:02: Epoch [9/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:25:12: Epoch [9/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:25:22: Epoch [9/10], Step [10400/12534], Loss: 0.0047
|
||||
Wed, 14 Sep 2022 16:25:32: Epoch [9/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:25:42: Epoch [9/10], Step [10800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 16:25:53: Epoch [9/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:26:03: Epoch [9/10], Step [11200/12534], Loss: 0.0020
|
||||
Wed, 14 Sep 2022 16:26:13: Epoch [9/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:26:23: Epoch [9/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:26:33: Epoch [9/10], Step [11800/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 16:26:43: Epoch [9/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:26:54: Epoch [9/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:27:04: Epoch [9/10], Step [12400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:27:21: Epoch [10/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:27:31: Epoch [10/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:27:41: Epoch [10/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:27:51: Epoch [10/10], Step [800/12534], Loss: 0.0037
|
||||
Wed, 14 Sep 2022 16:28:01: Epoch [10/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:28:11: Epoch [10/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:28:21: Epoch [10/10], Step [1400/12534], Loss: 0.0074
|
||||
Wed, 14 Sep 2022 16:28:31: Epoch [10/10], Step [1600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:28:42: Epoch [10/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:28:52: Epoch [10/10], Step [2000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:29:02: Epoch [10/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:29:12: Epoch [10/10], Step [2400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:29:22: Epoch [10/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:29:32: Epoch [10/10], Step [2800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:29:43: Epoch [10/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:29:53: Epoch [10/10], Step [3200/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 16:30:03: Epoch [10/10], Step [3400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 16:30:13: Epoch [10/10], Step [3600/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 16:30:23: Epoch [10/10], Step [3800/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 16:30:34: Epoch [10/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:30:44: Epoch [10/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:30:54: Epoch [10/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:31:05: Epoch [10/10], Step [4600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 16:31:15: Epoch [10/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:31:25: Epoch [10/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:31:35: Epoch [10/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:31:45: Epoch [10/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:31:56: Epoch [10/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:32:06: Epoch [10/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:32:16: Epoch [10/10], Step [6000/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 16:32:26: Epoch [10/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:32:36: Epoch [10/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:32:47: Epoch [10/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:32:57: Epoch [10/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:33:07: Epoch [10/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:33:17: Epoch [10/10], Step [7200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:33:28: Epoch [10/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:33:38: Epoch [10/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:33:48: Epoch [10/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:33:58: Epoch [10/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:34:09: Epoch [10/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:34:19: Epoch [10/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:34:30: Epoch [10/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:34:40: Epoch [10/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:34:50: Epoch [10/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:35:00: Epoch [10/10], Step [9200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:35:11: Epoch [10/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:35:21: Epoch [10/10], Step [9600/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 16:35:31: Epoch [10/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:35:41: Epoch [10/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:35:52: Epoch [10/10], Step [10200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 16:36:02: Epoch [10/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:36:12: Epoch [10/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:36:22: Epoch [10/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:36:32: Epoch [10/10], Step [11000/12534], Loss: 0.0196
|
||||
Wed, 14 Sep 2022 16:36:42: Epoch [10/10], Step [11200/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 16:36:51: Epoch [10/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:37:01: Epoch [10/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:37:11: Epoch [10/10], Step [11800/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 16:37:22: Epoch [10/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:37:32: Epoch [10/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 16:37:42: Epoch [10/10], Step [12400/12534], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 16:37:49: start testing on test dataset
|
||||
Wed, 14 Sep 2022 16:40:34:
|
||||
f1:0.9976059494702527
|
||||
Wed, 14 Sep 2022 16:40:35:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9994 0.9958 0.9976 156562
|
||||
1.0 0.9958 0.9994 0.9976 156777
|
||||
|
||||
accuracy 0.9976 313339
|
||||
macro avg 0.9976 0.9976 0.9976 313339
|
||||
weighted avg 0.9976 0.9976 0.9976 313339
|
||||
|
||||
Wed, 14 Sep 2022 16:40:35:
|
||||
[[155907 655]
|
||||
[ 97 156680]]
|
||||
654
代码/sequenceShield/论文数据/ss-gru-cicdos2017-1layer.log
Normal file
654
代码/sequenceShield/论文数据/ss-gru-cicdos2017-1layer.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Wed, 14 Sep 2022 10:31:57: -------------
|
||||
Wed, 14 Sep 2022 10:31:57: cuda is_available:True
|
||||
Wed, 14 Sep 2022 10:31:57: model parameters - num_layers:1, sequence_len:40
|
||||
Wed, 14 Sep 2022 10:31:57: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 10:31:57: reading csv file
|
||||
Wed, 14 Sep 2022 10:31:57: csv file alread loaded
|
||||
Wed, 14 Sep 2022 10:32:08: procols num: 31
|
||||
Wed, 14 Sep 2022 10:32:08: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Wed, 14 Sep 2022 10:33:26: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Wed, 14 Sep 2022 10:33:28: loader already prepared
|
||||
Wed, 14 Sep 2022 10:33:28: loader中(0:normal,1:high,2:low):Counter({0: 16151, 2: 10685, 1: 5383})
|
||||
Wed, 14 Sep 2022 10:33:29: start training
|
||||
Wed, 14 Sep 2022 10:33:30: Epoch [1/25], Step [50/1289], Loss: 0.3715
|
||||
Wed, 14 Sep 2022 10:33:30: Epoch [1/25], Step [100/1289], Loss: 0.4521
|
||||
Wed, 14 Sep 2022 10:33:30: Epoch [1/25], Step [150/1289], Loss: 0.4765
|
||||
Wed, 14 Sep 2022 10:33:30: Epoch [1/25], Step [200/1289], Loss: 0.3783
|
||||
Wed, 14 Sep 2022 10:33:30: Epoch [1/25], Step [250/1289], Loss: 0.4360
|
||||
Wed, 14 Sep 2022 10:33:31: Epoch [1/25], Step [300/1289], Loss: 0.3067
|
||||
Wed, 14 Sep 2022 10:33:31: Epoch [1/25], Step [350/1289], Loss: 0.3837
|
||||
Wed, 14 Sep 2022 10:33:31: Epoch [1/25], Step [400/1289], Loss: 0.2644
|
||||
Wed, 14 Sep 2022 10:33:31: Epoch [1/25], Step [450/1289], Loss: 0.2799
|
||||
Wed, 14 Sep 2022 10:33:31: Epoch [1/25], Step [500/1289], Loss: 0.2459
|
||||
Wed, 14 Sep 2022 10:33:32: Epoch [1/25], Step [550/1289], Loss: 0.2986
|
||||
Wed, 14 Sep 2022 10:33:32: Epoch [1/25], Step [600/1289], Loss: 0.2679
|
||||
Wed, 14 Sep 2022 10:33:32: Epoch [1/25], Step [650/1289], Loss: 0.3439
|
||||
Wed, 14 Sep 2022 10:33:32: Epoch [1/25], Step [700/1289], Loss: 0.3004
|
||||
Wed, 14 Sep 2022 10:33:32: Epoch [1/25], Step [750/1289], Loss: 0.3274
|
||||
Wed, 14 Sep 2022 10:33:33: Epoch [1/25], Step [800/1289], Loss: 0.2396
|
||||
Wed, 14 Sep 2022 10:33:33: Epoch [1/25], Step [850/1289], Loss: 0.2709
|
||||
Wed, 14 Sep 2022 10:33:33: Epoch [1/25], Step [900/1289], Loss: 0.3230
|
||||
Wed, 14 Sep 2022 10:33:33: Epoch [1/25], Step [950/1289], Loss: 0.1673
|
||||
Wed, 14 Sep 2022 10:33:34: Epoch [1/25], Step [1000/1289], Loss: 0.1347
|
||||
Wed, 14 Sep 2022 10:33:34: Epoch [1/25], Step [1050/1289], Loss: 0.2112
|
||||
Wed, 14 Sep 2022 10:33:34: Epoch [1/25], Step [1100/1289], Loss: 0.2715
|
||||
Wed, 14 Sep 2022 10:33:34: Epoch [1/25], Step [1150/1289], Loss: 0.1475
|
||||
Wed, 14 Sep 2022 10:33:34: Epoch [1/25], Step [1200/1289], Loss: 0.1412
|
||||
Wed, 14 Sep 2022 10:33:35: Epoch [1/25], Step [1250/1289], Loss: 0.1510
|
||||
Wed, 14 Sep 2022 10:33:35: Epoch [2/25], Step [50/1289], Loss: 0.2278
|
||||
Wed, 14 Sep 2022 10:33:35: Epoch [2/25], Step [100/1289], Loss: 0.2103
|
||||
Wed, 14 Sep 2022 10:33:35: Epoch [2/25], Step [150/1289], Loss: 0.1350
|
||||
Wed, 14 Sep 2022 10:33:36: Epoch [2/25], Step [200/1289], Loss: 0.1517
|
||||
Wed, 14 Sep 2022 10:33:36: Epoch [2/25], Step [250/1289], Loss: 0.1759
|
||||
Wed, 14 Sep 2022 10:33:36: Epoch [2/25], Step [300/1289], Loss: 0.0732
|
||||
Wed, 14 Sep 2022 10:33:36: Epoch [2/25], Step [350/1289], Loss: 0.2161
|
||||
Wed, 14 Sep 2022 10:33:36: Epoch [2/25], Step [400/1289], Loss: 0.1698
|
||||
Wed, 14 Sep 2022 10:33:37: Epoch [2/25], Step [450/1289], Loss: 0.2098
|
||||
Wed, 14 Sep 2022 10:33:37: Epoch [2/25], Step [500/1289], Loss: 0.1601
|
||||
Wed, 14 Sep 2022 10:33:37: Epoch [2/25], Step [550/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 10:33:37: Epoch [2/25], Step [600/1289], Loss: 0.1097
|
||||
Wed, 14 Sep 2022 10:33:37: Epoch [2/25], Step [650/1289], Loss: 0.2921
|
||||
Wed, 14 Sep 2022 10:33:38: Epoch [2/25], Step [700/1289], Loss: 0.1362
|
||||
Wed, 14 Sep 2022 10:33:38: Epoch [2/25], Step [750/1289], Loss: 0.1864
|
||||
Wed, 14 Sep 2022 10:33:38: Epoch [2/25], Step [800/1289], Loss: 0.2250
|
||||
Wed, 14 Sep 2022 10:33:38: Epoch [2/25], Step [850/1289], Loss: 0.1941
|
||||
Wed, 14 Sep 2022 10:33:38: Epoch [2/25], Step [900/1289], Loss: 0.2128
|
||||
Wed, 14 Sep 2022 10:33:39: Epoch [2/25], Step [950/1289], Loss: 0.1381
|
||||
Wed, 14 Sep 2022 10:33:39: Epoch [2/25], Step [1000/1289], Loss: 0.0739
|
||||
Wed, 14 Sep 2022 10:33:39: Epoch [2/25], Step [1050/1289], Loss: 0.3092
|
||||
Wed, 14 Sep 2022 10:33:39: Epoch [2/25], Step [1100/1289], Loss: 0.1396
|
||||
Wed, 14 Sep 2022 10:33:39: Epoch [2/25], Step [1150/1289], Loss: 0.2021
|
||||
Wed, 14 Sep 2022 10:33:40: Epoch [2/25], Step [1200/1289], Loss: 0.0819
|
||||
Wed, 14 Sep 2022 10:33:40: Epoch [2/25], Step [1250/1289], Loss: 0.1554
|
||||
Wed, 14 Sep 2022 10:33:40: Epoch [3/25], Step [50/1289], Loss: 0.1206
|
||||
Wed, 14 Sep 2022 10:33:40: Epoch [3/25], Step [100/1289], Loss: 0.2293
|
||||
Wed, 14 Sep 2022 10:33:41: Epoch [3/25], Step [150/1289], Loss: 0.1217
|
||||
Wed, 14 Sep 2022 10:33:41: Epoch [3/25], Step [200/1289], Loss: 0.1858
|
||||
Wed, 14 Sep 2022 10:33:41: Epoch [3/25], Step [250/1289], Loss: 0.2408
|
||||
Wed, 14 Sep 2022 10:33:41: Epoch [3/25], Step [300/1289], Loss: 0.1908
|
||||
Wed, 14 Sep 2022 10:33:41: Epoch [3/25], Step [350/1289], Loss: 0.1051
|
||||
Wed, 14 Sep 2022 10:33:42: Epoch [3/25], Step [400/1289], Loss: 0.2868
|
||||
Wed, 14 Sep 2022 10:33:42: Epoch [3/25], Step [450/1289], Loss: 0.1066
|
||||
Wed, 14 Sep 2022 10:33:42: Epoch [3/25], Step [500/1289], Loss: 0.1947
|
||||
Wed, 14 Sep 2022 10:33:42: Epoch [3/25], Step [550/1289], Loss: 0.1186
|
||||
Wed, 14 Sep 2022 10:33:42: Epoch [3/25], Step [600/1289], Loss: 0.2062
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [650/1289], Loss: 0.1520
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [700/1289], Loss: 0.1409
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [750/1289], Loss: 0.0338
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [800/1289], Loss: 0.1586
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [850/1289], Loss: 0.0578
|
||||
Wed, 14 Sep 2022 10:33:43: Epoch [3/25], Step [900/1289], Loss: 0.1459
|
||||
Wed, 14 Sep 2022 10:33:44: Epoch [3/25], Step [950/1289], Loss: 0.1681
|
||||
Wed, 14 Sep 2022 10:33:44: Epoch [3/25], Step [1000/1289], Loss: 0.0794
|
||||
Wed, 14 Sep 2022 10:33:44: Epoch [3/25], Step [1050/1289], Loss: 0.1163
|
||||
Wed, 14 Sep 2022 10:33:44: Epoch [3/25], Step [1100/1289], Loss: 0.1118
|
||||
Wed, 14 Sep 2022 10:33:44: Epoch [3/25], Step [1150/1289], Loss: 0.1161
|
||||
Wed, 14 Sep 2022 10:33:45: Epoch [3/25], Step [1200/1289], Loss: 0.1326
|
||||
Wed, 14 Sep 2022 10:33:45: Epoch [3/25], Step [1250/1289], Loss: 0.0471
|
||||
Wed, 14 Sep 2022 10:33:45: Epoch [4/25], Step [50/1289], Loss: 0.0960
|
||||
Wed, 14 Sep 2022 10:33:45: Epoch [4/25], Step [100/1289], Loss: 0.1941
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [150/1289], Loss: 0.0954
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [200/1289], Loss: 0.1613
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [250/1289], Loss: 0.1227
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [300/1289], Loss: 0.1295
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [350/1289], Loss: 0.0946
|
||||
Wed, 14 Sep 2022 10:33:46: Epoch [4/25], Step [400/1289], Loss: 0.2195
|
||||
Wed, 14 Sep 2022 10:33:47: Epoch [4/25], Step [450/1289], Loss: 0.0865
|
||||
Wed, 14 Sep 2022 10:33:47: Epoch [4/25], Step [500/1289], Loss: 0.0867
|
||||
Wed, 14 Sep 2022 10:33:47: Epoch [4/25], Step [550/1289], Loss: 0.0984
|
||||
Wed, 14 Sep 2022 10:33:47: Epoch [4/25], Step [600/1289], Loss: 0.1219
|
||||
Wed, 14 Sep 2022 10:33:47: Epoch [4/25], Step [650/1289], Loss: 0.1092
|
||||
Wed, 14 Sep 2022 10:33:48: Epoch [4/25], Step [700/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 10:33:48: Epoch [4/25], Step [750/1289], Loss: 0.1096
|
||||
Wed, 14 Sep 2022 10:33:48: Epoch [4/25], Step [800/1289], Loss: 0.0952
|
||||
Wed, 14 Sep 2022 10:33:48: Epoch [4/25], Step [850/1289], Loss: 0.1362
|
||||
Wed, 14 Sep 2022 10:33:48: Epoch [4/25], Step [900/1289], Loss: 0.0524
|
||||
Wed, 14 Sep 2022 10:33:49: Epoch [4/25], Step [950/1289], Loss: 0.2142
|
||||
Wed, 14 Sep 2022 10:33:49: Epoch [4/25], Step [1000/1289], Loss: 0.0583
|
||||
Wed, 14 Sep 2022 10:33:49: Epoch [4/25], Step [1050/1289], Loss: 0.0873
|
||||
Wed, 14 Sep 2022 10:33:49: Epoch [4/25], Step [1100/1289], Loss: 0.1263
|
||||
Wed, 14 Sep 2022 10:33:49: Epoch [4/25], Step [1150/1289], Loss: 0.1753
|
||||
Wed, 14 Sep 2022 10:33:50: Epoch [4/25], Step [1200/1289], Loss: 0.1407
|
||||
Wed, 14 Sep 2022 10:33:50: Epoch [4/25], Step [1250/1289], Loss: 0.1675
|
||||
Wed, 14 Sep 2022 10:33:50: Epoch [5/25], Step [50/1289], Loss: 0.1412
|
||||
Wed, 14 Sep 2022 10:33:50: Epoch [5/25], Step [100/1289], Loss: 0.1536
|
||||
Wed, 14 Sep 2022 10:33:51: Epoch [5/25], Step [150/1289], Loss: 0.1118
|
||||
Wed, 14 Sep 2022 10:33:51: Epoch [5/25], Step [200/1289], Loss: 0.1322
|
||||
Wed, 14 Sep 2022 10:33:51: Epoch [5/25], Step [250/1289], Loss: 0.1253
|
||||
Wed, 14 Sep 2022 10:33:51: Epoch [5/25], Step [300/1289], Loss: 0.1463
|
||||
Wed, 14 Sep 2022 10:33:51: Epoch [5/25], Step [350/1289], Loss: 0.0585
|
||||
Wed, 14 Sep 2022 10:33:52: Epoch [5/25], Step [400/1289], Loss: 0.0626
|
||||
Wed, 14 Sep 2022 10:33:52: Epoch [5/25], Step [450/1289], Loss: 0.1031
|
||||
Wed, 14 Sep 2022 10:33:52: Epoch [5/25], Step [500/1289], Loss: 0.1202
|
||||
Wed, 14 Sep 2022 10:33:52: Epoch [5/25], Step [550/1289], Loss: 0.1008
|
||||
Wed, 14 Sep 2022 10:33:52: Epoch [5/25], Step [600/1289], Loss: 0.0713
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [650/1289], Loss: 0.1732
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [700/1289], Loss: 0.0927
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [750/1289], Loss: 0.1223
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [800/1289], Loss: 0.0403
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [850/1289], Loss: 0.1277
|
||||
Wed, 14 Sep 2022 10:33:53: Epoch [5/25], Step [900/1289], Loss: 0.0777
|
||||
Wed, 14 Sep 2022 10:33:54: Epoch [5/25], Step [950/1289], Loss: 0.1587
|
||||
Wed, 14 Sep 2022 10:33:54: Epoch [5/25], Step [1000/1289], Loss: 0.1011
|
||||
Wed, 14 Sep 2022 10:33:54: Epoch [5/25], Step [1050/1289], Loss: 0.0623
|
||||
Wed, 14 Sep 2022 10:33:54: Epoch [5/25], Step [1100/1289], Loss: 0.0219
|
||||
Wed, 14 Sep 2022 10:33:54: Epoch [5/25], Step [1150/1289], Loss: 0.0913
|
||||
Wed, 14 Sep 2022 10:33:55: Epoch [5/25], Step [1200/1289], Loss: 0.0427
|
||||
Wed, 14 Sep 2022 10:33:55: Epoch [5/25], Step [1250/1289], Loss: 0.1529
|
||||
Wed, 14 Sep 2022 10:33:55: Epoch [6/25], Step [50/1289], Loss: 0.1036
|
||||
Wed, 14 Sep 2022 10:33:55: Epoch [6/25], Step [100/1289], Loss: 0.1298
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [150/1289], Loss: 0.0462
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [200/1289], Loss: 0.0561
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [250/1289], Loss: 0.1065
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [300/1289], Loss: 0.0581
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [350/1289], Loss: 0.1538
|
||||
Wed, 14 Sep 2022 10:33:56: Epoch [6/25], Step [400/1289], Loss: 0.0959
|
||||
Wed, 14 Sep 2022 10:33:57: Epoch [6/25], Step [450/1289], Loss: 0.1078
|
||||
Wed, 14 Sep 2022 10:33:57: Epoch [6/25], Step [500/1289], Loss: 0.0842
|
||||
Wed, 14 Sep 2022 10:33:57: Epoch [6/25], Step [550/1289], Loss: 0.1069
|
||||
Wed, 14 Sep 2022 10:33:57: Epoch [6/25], Step [600/1289], Loss: 0.0888
|
||||
Wed, 14 Sep 2022 10:33:57: Epoch [6/25], Step [650/1289], Loss: 0.0975
|
||||
Wed, 14 Sep 2022 10:33:58: Epoch [6/25], Step [700/1289], Loss: 0.1825
|
||||
Wed, 14 Sep 2022 10:33:58: Epoch [6/25], Step [750/1289], Loss: 0.0895
|
||||
Wed, 14 Sep 2022 10:33:58: Epoch [6/25], Step [800/1289], Loss: 0.0274
|
||||
Wed, 14 Sep 2022 10:33:58: Epoch [6/25], Step [850/1289], Loss: 0.0509
|
||||
Wed, 14 Sep 2022 10:33:58: Epoch [6/25], Step [900/1289], Loss: 0.1168
|
||||
Wed, 14 Sep 2022 10:33:59: Epoch [6/25], Step [950/1289], Loss: 0.0817
|
||||
Wed, 14 Sep 2022 10:33:59: Epoch [6/25], Step [1000/1289], Loss: 0.1626
|
||||
Wed, 14 Sep 2022 10:33:59: Epoch [6/25], Step [1050/1289], Loss: 0.0223
|
||||
Wed, 14 Sep 2022 10:33:59: Epoch [6/25], Step [1100/1289], Loss: 0.0932
|
||||
Wed, 14 Sep 2022 10:33:59: Epoch [6/25], Step [1150/1289], Loss: 0.1550
|
||||
Wed, 14 Sep 2022 10:34:00: Epoch [6/25], Step [1200/1289], Loss: 0.0828
|
||||
Wed, 14 Sep 2022 10:34:00: Epoch [6/25], Step [1250/1289], Loss: 0.0790
|
||||
Wed, 14 Sep 2022 10:34:00: Epoch [7/25], Step [50/1289], Loss: 0.0999
|
||||
Wed, 14 Sep 2022 10:34:00: Epoch [7/25], Step [100/1289], Loss: 0.0996
|
||||
Wed, 14 Sep 2022 10:34:01: Epoch [7/25], Step [150/1289], Loss: 0.1123
|
||||
Wed, 14 Sep 2022 10:34:01: Epoch [7/25], Step [200/1289], Loss: 0.0510
|
||||
Wed, 14 Sep 2022 10:34:01: Epoch [7/25], Step [250/1289], Loss: 0.1750
|
||||
Wed, 14 Sep 2022 10:34:01: Epoch [7/25], Step [300/1289], Loss: 0.1264
|
||||
Wed, 14 Sep 2022 10:34:01: Epoch [7/25], Step [350/1289], Loss: 0.0773
|
||||
Wed, 14 Sep 2022 10:34:02: Epoch [7/25], Step [400/1289], Loss: 0.1628
|
||||
Wed, 14 Sep 2022 10:34:02: Epoch [7/25], Step [450/1289], Loss: 0.0684
|
||||
Wed, 14 Sep 2022 10:34:02: Epoch [7/25], Step [500/1289], Loss: 0.0283
|
||||
Wed, 14 Sep 2022 10:34:02: Epoch [7/25], Step [550/1289], Loss: 0.0572
|
||||
Wed, 14 Sep 2022 10:34:02: Epoch [7/25], Step [600/1289], Loss: 0.0315
|
||||
Wed, 14 Sep 2022 10:34:03: Epoch [7/25], Step [650/1289], Loss: 0.0602
|
||||
Wed, 14 Sep 2022 10:34:03: Epoch [7/25], Step [700/1289], Loss: 0.1619
|
||||
Wed, 14 Sep 2022 10:34:03: Epoch [7/25], Step [750/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 10:34:03: Epoch [7/25], Step [800/1289], Loss: 0.1637
|
||||
Wed, 14 Sep 2022 10:34:03: Epoch [7/25], Step [850/1289], Loss: 0.1035
|
||||
Wed, 14 Sep 2022 10:34:04: Epoch [7/25], Step [900/1289], Loss: 0.0459
|
||||
Wed, 14 Sep 2022 10:34:04: Epoch [7/25], Step [950/1289], Loss: 0.0940
|
||||
Wed, 14 Sep 2022 10:34:04: Epoch [7/25], Step [1000/1289], Loss: 0.0849
|
||||
Wed, 14 Sep 2022 10:34:04: Epoch [7/25], Step [1050/1289], Loss: 0.1060
|
||||
Wed, 14 Sep 2022 10:34:04: Epoch [7/25], Step [1100/1289], Loss: 0.0230
|
||||
Wed, 14 Sep 2022 10:34:05: Epoch [7/25], Step [1150/1289], Loss: 0.0414
|
||||
Wed, 14 Sep 2022 10:34:05: Epoch [7/25], Step [1200/1289], Loss: 0.0350
|
||||
Wed, 14 Sep 2022 10:34:05: Epoch [7/25], Step [1250/1289], Loss: 0.0465
|
||||
Wed, 14 Sep 2022 10:34:05: Epoch [8/25], Step [50/1289], Loss: 0.0464
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [100/1289], Loss: 0.0713
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [150/1289], Loss: 0.0944
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [200/1289], Loss: 0.1457
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [250/1289], Loss: 0.1482
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [300/1289], Loss: 0.1240
|
||||
Wed, 14 Sep 2022 10:34:06: Epoch [8/25], Step [350/1289], Loss: 0.0150
|
||||
Wed, 14 Sep 2022 10:34:07: Epoch [8/25], Step [400/1289], Loss: 0.0602
|
||||
Wed, 14 Sep 2022 10:34:07: Epoch [8/25], Step [450/1289], Loss: 0.1333
|
||||
Wed, 14 Sep 2022 10:34:07: Epoch [8/25], Step [500/1289], Loss: 0.0615
|
||||
Wed, 14 Sep 2022 10:34:07: Epoch [8/25], Step [550/1289], Loss: 0.1029
|
||||
Wed, 14 Sep 2022 10:34:07: Epoch [8/25], Step [600/1289], Loss: 0.1486
|
||||
Wed, 14 Sep 2022 10:34:08: Epoch [8/25], Step [650/1289], Loss: 0.0360
|
||||
Wed, 14 Sep 2022 10:34:08: Epoch [8/25], Step [700/1289], Loss: 0.0599
|
||||
Wed, 14 Sep 2022 10:34:08: Epoch [8/25], Step [750/1289], Loss: 0.0833
|
||||
Wed, 14 Sep 2022 10:34:08: Epoch [8/25], Step [800/1289], Loss: 0.0614
|
||||
Wed, 14 Sep 2022 10:34:09: Epoch [8/25], Step [850/1289], Loss: 0.0666
|
||||
Wed, 14 Sep 2022 10:34:09: Epoch [8/25], Step [900/1289], Loss: 0.0477
|
||||
Wed, 14 Sep 2022 10:34:09: Epoch [8/25], Step [950/1289], Loss: 0.0791
|
||||
Wed, 14 Sep 2022 10:34:09: Epoch [8/25], Step [1000/1289], Loss: 0.0435
|
||||
Wed, 14 Sep 2022 10:34:09: Epoch [8/25], Step [1050/1289], Loss: 0.2211
|
||||
Wed, 14 Sep 2022 10:34:10: Epoch [8/25], Step [1100/1289], Loss: 0.0360
|
||||
Wed, 14 Sep 2022 10:34:10: Epoch [8/25], Step [1150/1289], Loss: 0.1668
|
||||
Wed, 14 Sep 2022 10:34:10: Epoch [8/25], Step [1200/1289], Loss: 0.0696
|
||||
Wed, 14 Sep 2022 10:34:10: Epoch [8/25], Step [1250/1289], Loss: 0.0724
|
||||
Wed, 14 Sep 2022 10:34:11: Epoch [9/25], Step [50/1289], Loss: 0.1371
|
||||
Wed, 14 Sep 2022 10:34:11: Epoch [9/25], Step [100/1289], Loss: 0.0544
|
||||
Wed, 14 Sep 2022 10:34:11: Epoch [9/25], Step [150/1289], Loss: 0.1107
|
||||
Wed, 14 Sep 2022 10:34:11: Epoch [9/25], Step [200/1289], Loss: 0.0636
|
||||
Wed, 14 Sep 2022 10:34:11: Epoch [9/25], Step [250/1289], Loss: 0.0232
|
||||
Wed, 14 Sep 2022 10:34:12: Epoch [9/25], Step [300/1289], Loss: 0.0395
|
||||
Wed, 14 Sep 2022 10:34:12: Epoch [9/25], Step [350/1289], Loss: 0.1758
|
||||
Wed, 14 Sep 2022 10:34:12: Epoch [9/25], Step [400/1289], Loss: 0.0829
|
||||
Wed, 14 Sep 2022 10:34:12: Epoch [9/25], Step [450/1289], Loss: 0.0932
|
||||
Wed, 14 Sep 2022 10:34:12: Epoch [9/25], Step [500/1289], Loss: 0.0626
|
||||
Wed, 14 Sep 2022 10:34:13: Epoch [9/25], Step [550/1289], Loss: 0.0400
|
||||
Wed, 14 Sep 2022 10:34:13: Epoch [9/25], Step [600/1289], Loss: 0.1095
|
||||
Wed, 14 Sep 2022 10:34:13: Epoch [9/25], Step [650/1289], Loss: 0.1630
|
||||
Wed, 14 Sep 2022 10:34:13: Epoch [9/25], Step [700/1289], Loss: 0.1124
|
||||
Wed, 14 Sep 2022 10:34:13: Epoch [9/25], Step [750/1289], Loss: 0.0346
|
||||
Wed, 14 Sep 2022 10:34:14: Epoch [9/25], Step [800/1289], Loss: 0.0709
|
||||
Wed, 14 Sep 2022 10:34:14: Epoch [9/25], Step [850/1289], Loss: 0.0533
|
||||
Wed, 14 Sep 2022 10:34:14: Epoch [9/25], Step [900/1289], Loss: 0.0822
|
||||
Wed, 14 Sep 2022 10:34:14: Epoch [9/25], Step [950/1289], Loss: 0.0794
|
||||
Wed, 14 Sep 2022 10:34:14: Epoch [9/25], Step [1000/1289], Loss: 0.0697
|
||||
Wed, 14 Sep 2022 10:34:15: Epoch [9/25], Step [1050/1289], Loss: 0.0934
|
||||
Wed, 14 Sep 2022 10:34:15: Epoch [9/25], Step [1100/1289], Loss: 0.0854
|
||||
Wed, 14 Sep 2022 10:34:15: Epoch [9/25], Step [1150/1289], Loss: 0.1298
|
||||
Wed, 14 Sep 2022 10:34:15: Epoch [9/25], Step [1200/1289], Loss: 0.0545
|
||||
Wed, 14 Sep 2022 10:34:15: Epoch [9/25], Step [1250/1289], Loss: 0.0698
|
||||
Wed, 14 Sep 2022 10:34:16: Epoch [10/25], Step [50/1289], Loss: 0.0432
|
||||
Wed, 14 Sep 2022 10:34:16: Epoch [10/25], Step [100/1289], Loss: 0.0926
|
||||
Wed, 14 Sep 2022 10:34:16: Epoch [10/25], Step [150/1289], Loss: 0.0843
|
||||
Wed, 14 Sep 2022 10:34:16: Epoch [10/25], Step [200/1289], Loss: 0.0622
|
||||
Wed, 14 Sep 2022 10:34:17: Epoch [10/25], Step [250/1289], Loss: 0.1083
|
||||
Wed, 14 Sep 2022 10:34:17: Epoch [10/25], Step [300/1289], Loss: 0.0301
|
||||
Wed, 14 Sep 2022 10:34:17: Epoch [10/25], Step [350/1289], Loss: 0.0461
|
||||
Wed, 14 Sep 2022 10:34:17: Epoch [10/25], Step [400/1289], Loss: 0.0492
|
||||
Wed, 14 Sep 2022 10:34:17: Epoch [10/25], Step [450/1289], Loss: 0.0696
|
||||
Wed, 14 Sep 2022 10:34:18: Epoch [10/25], Step [500/1289], Loss: 0.1552
|
||||
Wed, 14 Sep 2022 10:34:18: Epoch [10/25], Step [550/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 10:34:18: Epoch [10/25], Step [600/1289], Loss: 0.0621
|
||||
Wed, 14 Sep 2022 10:34:18: Epoch [10/25], Step [650/1289], Loss: 0.0424
|
||||
Wed, 14 Sep 2022 10:34:18: Epoch [10/25], Step [700/1289], Loss: 0.1539
|
||||
Wed, 14 Sep 2022 10:34:19: Epoch [10/25], Step [750/1289], Loss: 0.0432
|
||||
Wed, 14 Sep 2022 10:34:19: Epoch [10/25], Step [800/1289], Loss: 0.0472
|
||||
Wed, 14 Sep 2022 10:34:19: Epoch [10/25], Step [850/1289], Loss: 0.1921
|
||||
Wed, 14 Sep 2022 10:34:19: Epoch [10/25], Step [900/1289], Loss: 0.0723
|
||||
Wed, 14 Sep 2022 10:34:19: Epoch [10/25], Step [950/1289], Loss: 0.1974
|
||||
Wed, 14 Sep 2022 10:34:20: Epoch [10/25], Step [1000/1289], Loss: 0.1727
|
||||
Wed, 14 Sep 2022 10:34:20: Epoch [10/25], Step [1050/1289], Loss: 0.0753
|
||||
Wed, 14 Sep 2022 10:34:20: Epoch [10/25], Step [1100/1289], Loss: 0.1882
|
||||
Wed, 14 Sep 2022 10:34:20: Epoch [10/25], Step [1150/1289], Loss: 0.1135
|
||||
Wed, 14 Sep 2022 10:34:20: Epoch [10/25], Step [1200/1289], Loss: 0.0505
|
||||
Wed, 14 Sep 2022 10:34:21: Epoch [10/25], Step [1250/1289], Loss: 0.0570
|
||||
Wed, 14 Sep 2022 10:34:21: Epoch [11/25], Step [50/1289], Loss: 0.0643
|
||||
Wed, 14 Sep 2022 10:34:21: Epoch [11/25], Step [100/1289], Loss: 0.1177
|
||||
Wed, 14 Sep 2022 10:34:21: Epoch [11/25], Step [150/1289], Loss: 0.0595
|
||||
Wed, 14 Sep 2022 10:34:21: Epoch [11/25], Step [200/1289], Loss: 0.0244
|
||||
Wed, 14 Sep 2022 10:34:22: Epoch [11/25], Step [250/1289], Loss: 0.0888
|
||||
Wed, 14 Sep 2022 10:34:22: Epoch [11/25], Step [300/1289], Loss: 0.0248
|
||||
Wed, 14 Sep 2022 10:34:22: Epoch [11/25], Step [350/1289], Loss: 0.0833
|
||||
Wed, 14 Sep 2022 10:34:22: Epoch [11/25], Step [400/1289], Loss: 0.0493
|
||||
Wed, 14 Sep 2022 10:34:22: Epoch [11/25], Step [450/1289], Loss: 0.0787
|
||||
Wed, 14 Sep 2022 10:34:23: Epoch [11/25], Step [500/1289], Loss: 0.0420
|
||||
Wed, 14 Sep 2022 10:34:23: Epoch [11/25], Step [550/1289], Loss: 0.0825
|
||||
Wed, 14 Sep 2022 10:34:23: Epoch [11/25], Step [600/1289], Loss: 0.0195
|
||||
Wed, 14 Sep 2022 10:34:23: Epoch [11/25], Step [650/1289], Loss: 0.0242
|
||||
Wed, 14 Sep 2022 10:34:23: Epoch [11/25], Step [700/1289], Loss: 0.0316
|
||||
Wed, 14 Sep 2022 10:34:24: Epoch [11/25], Step [750/1289], Loss: 0.0645
|
||||
Wed, 14 Sep 2022 10:34:24: Epoch [11/25], Step [800/1289], Loss: 0.1046
|
||||
Wed, 14 Sep 2022 10:34:24: Epoch [11/25], Step [850/1289], Loss: 0.0399
|
||||
Wed, 14 Sep 2022 10:34:24: Epoch [11/25], Step [900/1289], Loss: 0.1319
|
||||
Wed, 14 Sep 2022 10:34:24: Epoch [11/25], Step [950/1289], Loss: 0.0321
|
||||
Wed, 14 Sep 2022 10:34:25: Epoch [11/25], Step [1000/1289], Loss: 0.0733
|
||||
Wed, 14 Sep 2022 10:34:25: Epoch [11/25], Step [1050/1289], Loss: 0.0798
|
||||
Wed, 14 Sep 2022 10:34:25: Epoch [11/25], Step [1100/1289], Loss: 0.0783
|
||||
Wed, 14 Sep 2022 10:34:25: Epoch [11/25], Step [1150/1289], Loss: 0.1271
|
||||
Wed, 14 Sep 2022 10:34:25: Epoch [11/25], Step [1200/1289], Loss: 0.0591
|
||||
Wed, 14 Sep 2022 10:34:26: Epoch [11/25], Step [1250/1289], Loss: 0.0815
|
||||
Wed, 14 Sep 2022 10:34:26: Epoch [12/25], Step [50/1289], Loss: 0.0428
|
||||
Wed, 14 Sep 2022 10:34:26: Epoch [12/25], Step [100/1289], Loss: 0.1005
|
||||
Wed, 14 Sep 2022 10:34:26: Epoch [12/25], Step [150/1289], Loss: 0.1108
|
||||
Wed, 14 Sep 2022 10:34:27: Epoch [12/25], Step [200/1289], Loss: 0.0426
|
||||
Wed, 14 Sep 2022 10:34:27: Epoch [12/25], Step [250/1289], Loss: 0.1152
|
||||
Wed, 14 Sep 2022 10:34:27: Epoch [12/25], Step [300/1289], Loss: 0.0930
|
||||
Wed, 14 Sep 2022 10:34:27: Epoch [12/25], Step [350/1289], Loss: 0.0458
|
||||
Wed, 14 Sep 2022 10:34:27: Epoch [12/25], Step [400/1289], Loss: 0.0363
|
||||
Wed, 14 Sep 2022 10:34:28: Epoch [12/25], Step [450/1289], Loss: 0.1024
|
||||
Wed, 14 Sep 2022 10:34:28: Epoch [12/25], Step [500/1289], Loss: 0.0674
|
||||
Wed, 14 Sep 2022 10:34:28: Epoch [12/25], Step [550/1289], Loss: 0.0244
|
||||
Wed, 14 Sep 2022 10:34:28: Epoch [12/25], Step [600/1289], Loss: 0.0785
|
||||
Wed, 14 Sep 2022 10:34:28: Epoch [12/25], Step [650/1289], Loss: 0.0573
|
||||
Wed, 14 Sep 2022 10:34:29: Epoch [12/25], Step [700/1289], Loss: 0.0945
|
||||
Wed, 14 Sep 2022 10:34:29: Epoch [12/25], Step [750/1289], Loss: 0.1101
|
||||
Wed, 14 Sep 2022 10:34:29: Epoch [12/25], Step [800/1289], Loss: 0.1053
|
||||
Wed, 14 Sep 2022 10:34:29: Epoch [12/25], Step [850/1289], Loss: 0.0554
|
||||
Wed, 14 Sep 2022 10:34:29: Epoch [12/25], Step [900/1289], Loss: 0.0652
|
||||
Wed, 14 Sep 2022 10:34:30: Epoch [12/25], Step [950/1289], Loss: 0.0287
|
||||
Wed, 14 Sep 2022 10:34:30: Epoch [12/25], Step [1000/1289], Loss: 0.1077
|
||||
Wed, 14 Sep 2022 10:34:30: Epoch [12/25], Step [1050/1289], Loss: 0.0273
|
||||
Wed, 14 Sep 2022 10:34:30: Epoch [12/25], Step [1100/1289], Loss: 0.0502
|
||||
Wed, 14 Sep 2022 10:34:30: Epoch [12/25], Step [1150/1289], Loss: 0.1080
|
||||
Wed, 14 Sep 2022 10:34:31: Epoch [12/25], Step [1200/1289], Loss: 0.0451
|
||||
Wed, 14 Sep 2022 10:34:31: Epoch [12/25], Step [1250/1289], Loss: 0.0656
|
||||
Wed, 14 Sep 2022 10:34:31: Epoch [13/25], Step [50/1289], Loss: 0.0334
|
||||
Wed, 14 Sep 2022 10:34:31: Epoch [13/25], Step [100/1289], Loss: 0.0284
|
||||
Wed, 14 Sep 2022 10:34:32: Epoch [13/25], Step [150/1289], Loss: 0.0810
|
||||
Wed, 14 Sep 2022 10:34:32: Epoch [13/25], Step [200/1289], Loss: 0.1465
|
||||
Wed, 14 Sep 2022 10:34:32: Epoch [13/25], Step [250/1289], Loss: 0.1134
|
||||
Wed, 14 Sep 2022 10:34:32: Epoch [13/25], Step [300/1289], Loss: 0.0344
|
||||
Wed, 14 Sep 2022 10:34:32: Epoch [13/25], Step [350/1289], Loss: 0.0894
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [400/1289], Loss: 0.0405
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [450/1289], Loss: 0.0722
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [500/1289], Loss: 0.0759
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [550/1289], Loss: 0.0201
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [600/1289], Loss: 0.0597
|
||||
Wed, 14 Sep 2022 10:34:33: Epoch [13/25], Step [650/1289], Loss: 0.0480
|
||||
Wed, 14 Sep 2022 10:34:34: Epoch [13/25], Step [700/1289], Loss: 0.0620
|
||||
Wed, 14 Sep 2022 10:34:34: Epoch [13/25], Step [750/1289], Loss: 0.0607
|
||||
Wed, 14 Sep 2022 10:34:34: Epoch [13/25], Step [800/1289], Loss: 0.0909
|
||||
Wed, 14 Sep 2022 10:34:34: Epoch [13/25], Step [850/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 10:34:34: Epoch [13/25], Step [900/1289], Loss: 0.0841
|
||||
Wed, 14 Sep 2022 10:34:35: Epoch [13/25], Step [950/1289], Loss: 0.1323
|
||||
Wed, 14 Sep 2022 10:34:35: Epoch [13/25], Step [1000/1289], Loss: 0.0409
|
||||
Wed, 14 Sep 2022 10:34:35: Epoch [13/25], Step [1050/1289], Loss: 0.0141
|
||||
Wed, 14 Sep 2022 10:34:35: Epoch [13/25], Step [1100/1289], Loss: 0.1058
|
||||
Wed, 14 Sep 2022 10:34:35: Epoch [13/25], Step [1150/1289], Loss: 0.0864
|
||||
Wed, 14 Sep 2022 10:34:36: Epoch [13/25], Step [1200/1289], Loss: 0.0554
|
||||
Wed, 14 Sep 2022 10:34:36: Epoch [13/25], Step [1250/1289], Loss: 0.0319
|
||||
Wed, 14 Sep 2022 10:34:36: Epoch [14/25], Step [50/1289], Loss: 0.1223
|
||||
Wed, 14 Sep 2022 10:34:36: Epoch [14/25], Step [100/1289], Loss: 0.0156
|
||||
Wed, 14 Sep 2022 10:34:37: Epoch [14/25], Step [150/1289], Loss: 0.1265
|
||||
Wed, 14 Sep 2022 10:34:37: Epoch [14/25], Step [200/1289], Loss: 0.0348
|
||||
Wed, 14 Sep 2022 10:34:37: Epoch [14/25], Step [250/1289], Loss: 0.0351
|
||||
Wed, 14 Sep 2022 10:34:37: Epoch [14/25], Step [300/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 10:34:37: Epoch [14/25], Step [350/1289], Loss: 0.0281
|
||||
Wed, 14 Sep 2022 10:34:38: Epoch [14/25], Step [400/1289], Loss: 0.0404
|
||||
Wed, 14 Sep 2022 10:34:38: Epoch [14/25], Step [450/1289], Loss: 0.0077
|
||||
Wed, 14 Sep 2022 10:34:38: Epoch [14/25], Step [500/1289], Loss: 0.0222
|
||||
Wed, 14 Sep 2022 10:34:38: Epoch [14/25], Step [550/1289], Loss: 0.0564
|
||||
Wed, 14 Sep 2022 10:34:38: Epoch [14/25], Step [600/1289], Loss: 0.0225
|
||||
Wed, 14 Sep 2022 10:34:39: Epoch [14/25], Step [650/1289], Loss: 0.1508
|
||||
Wed, 14 Sep 2022 10:34:39: Epoch [14/25], Step [700/1289], Loss: 0.0308
|
||||
Wed, 14 Sep 2022 10:34:39: Epoch [14/25], Step [750/1289], Loss: 0.0165
|
||||
Wed, 14 Sep 2022 10:34:39: Epoch [14/25], Step [800/1289], Loss: 0.0374
|
||||
Wed, 14 Sep 2022 10:34:39: Epoch [14/25], Step [850/1289], Loss: 0.0941
|
||||
Wed, 14 Sep 2022 10:34:40: Epoch [14/25], Step [900/1289], Loss: 0.0371
|
||||
Wed, 14 Sep 2022 10:34:40: Epoch [14/25], Step [950/1289], Loss: 0.0913
|
||||
Wed, 14 Sep 2022 10:34:40: Epoch [14/25], Step [1000/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 10:34:40: Epoch [14/25], Step [1050/1289], Loss: 0.0398
|
||||
Wed, 14 Sep 2022 10:34:40: Epoch [14/25], Step [1100/1289], Loss: 0.0276
|
||||
Wed, 14 Sep 2022 10:34:41: Epoch [14/25], Step [1150/1289], Loss: 0.0301
|
||||
Wed, 14 Sep 2022 10:34:41: Epoch [14/25], Step [1200/1289], Loss: 0.0965
|
||||
Wed, 14 Sep 2022 10:34:41: Epoch [14/25], Step [1250/1289], Loss: 0.0807
|
||||
Wed, 14 Sep 2022 10:34:41: Epoch [15/25], Step [50/1289], Loss: 0.0575
|
||||
Wed, 14 Sep 2022 10:34:42: Epoch [15/25], Step [100/1289], Loss: 0.0157
|
||||
Wed, 14 Sep 2022 10:34:42: Epoch [15/25], Step [150/1289], Loss: 0.0427
|
||||
Wed, 14 Sep 2022 10:34:42: Epoch [15/25], Step [200/1289], Loss: 0.0370
|
||||
Wed, 14 Sep 2022 10:34:42: Epoch [15/25], Step [250/1289], Loss: 0.0125
|
||||
Wed, 14 Sep 2022 10:34:42: Epoch [15/25], Step [300/1289], Loss: 0.0544
|
||||
Wed, 14 Sep 2022 10:34:43: Epoch [15/25], Step [350/1289], Loss: 0.1121
|
||||
Wed, 14 Sep 2022 10:34:43: Epoch [15/25], Step [400/1289], Loss: 0.0583
|
||||
Wed, 14 Sep 2022 10:34:43: Epoch [15/25], Step [450/1289], Loss: 0.0595
|
||||
Wed, 14 Sep 2022 10:34:43: Epoch [15/25], Step [500/1289], Loss: 0.0494
|
||||
Wed, 14 Sep 2022 10:34:43: Epoch [15/25], Step [550/1289], Loss: 0.0184
|
||||
Wed, 14 Sep 2022 10:34:44: Epoch [15/25], Step [600/1289], Loss: 0.0412
|
||||
Wed, 14 Sep 2022 10:34:44: Epoch [15/25], Step [650/1289], Loss: 0.0402
|
||||
Wed, 14 Sep 2022 10:34:44: Epoch [15/25], Step [700/1289], Loss: 0.0768
|
||||
Wed, 14 Sep 2022 10:34:44: Epoch [15/25], Step [750/1289], Loss: 0.0494
|
||||
Wed, 14 Sep 2022 10:34:44: Epoch [15/25], Step [800/1289], Loss: 0.0217
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [850/1289], Loss: 0.0328
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [900/1289], Loss: 0.0206
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [950/1289], Loss: 0.0915
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [1000/1289], Loss: 0.0592
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [1050/1289], Loss: 0.0138
|
||||
Wed, 14 Sep 2022 10:34:45: Epoch [15/25], Step [1100/1289], Loss: 0.0883
|
||||
Wed, 14 Sep 2022 10:34:46: Epoch [15/25], Step [1150/1289], Loss: 0.0377
|
||||
Wed, 14 Sep 2022 10:34:46: Epoch [15/25], Step [1200/1289], Loss: 0.0183
|
||||
Wed, 14 Sep 2022 10:34:46: Epoch [15/25], Step [1250/1289], Loss: 0.0410
|
||||
Wed, 14 Sep 2022 10:34:46: Epoch [16/25], Step [50/1289], Loss: 0.0100
|
||||
Wed, 14 Sep 2022 10:34:47: Epoch [16/25], Step [100/1289], Loss: 0.0519
|
||||
Wed, 14 Sep 2022 10:34:47: Epoch [16/25], Step [150/1289], Loss: 0.1138
|
||||
Wed, 14 Sep 2022 10:34:47: Epoch [16/25], Step [200/1289], Loss: 0.0280
|
||||
Wed, 14 Sep 2022 10:34:47: Epoch [16/25], Step [250/1289], Loss: 0.0421
|
||||
Wed, 14 Sep 2022 10:34:47: Epoch [16/25], Step [300/1289], Loss: 0.0182
|
||||
Wed, 14 Sep 2022 10:34:48: Epoch [16/25], Step [350/1289], Loss: 0.0492
|
||||
Wed, 14 Sep 2022 10:34:48: Epoch [16/25], Step [400/1289], Loss: 0.0230
|
||||
Wed, 14 Sep 2022 10:34:48: Epoch [16/25], Step [450/1289], Loss: 0.1185
|
||||
Wed, 14 Sep 2022 10:34:48: Epoch [16/25], Step [500/1289], Loss: 0.0625
|
||||
Wed, 14 Sep 2022 10:34:48: Epoch [16/25], Step [550/1289], Loss: 0.0297
|
||||
Wed, 14 Sep 2022 10:34:49: Epoch [16/25], Step [600/1289], Loss: 0.1145
|
||||
Wed, 14 Sep 2022 10:34:49: Epoch [16/25], Step [650/1289], Loss: 0.0587
|
||||
Wed, 14 Sep 2022 10:34:49: Epoch [16/25], Step [700/1289], Loss: 0.0599
|
||||
Wed, 14 Sep 2022 10:34:49: Epoch [16/25], Step [750/1289], Loss: 0.0606
|
||||
Wed, 14 Sep 2022 10:34:49: Epoch [16/25], Step [800/1289], Loss: 0.0679
|
||||
Wed, 14 Sep 2022 10:34:50: Epoch [16/25], Step [850/1289], Loss: 0.0830
|
||||
Wed, 14 Sep 2022 10:34:50: Epoch [16/25], Step [900/1289], Loss: 0.0290
|
||||
Wed, 14 Sep 2022 10:34:50: Epoch [16/25], Step [950/1289], Loss: 0.1536
|
||||
Wed, 14 Sep 2022 10:34:50: Epoch [16/25], Step [1000/1289], Loss: 0.0841
|
||||
Wed, 14 Sep 2022 10:34:50: Epoch [16/25], Step [1050/1289], Loss: 0.0523
|
||||
Wed, 14 Sep 2022 10:34:51: Epoch [16/25], Step [1100/1289], Loss: 0.1166
|
||||
Wed, 14 Sep 2022 10:34:51: Epoch [16/25], Step [1150/1289], Loss: 0.0252
|
||||
Wed, 14 Sep 2022 10:34:51: Epoch [16/25], Step [1200/1289], Loss: 0.1149
|
||||
Wed, 14 Sep 2022 10:34:51: Epoch [16/25], Step [1250/1289], Loss: 0.1154
|
||||
Wed, 14 Sep 2022 10:34:52: Epoch [17/25], Step [50/1289], Loss: 0.0884
|
||||
Wed, 14 Sep 2022 10:34:52: Epoch [17/25], Step [100/1289], Loss: 0.0407
|
||||
Wed, 14 Sep 2022 10:34:52: Epoch [17/25], Step [150/1289], Loss: 0.0833
|
||||
Wed, 14 Sep 2022 10:34:52: Epoch [17/25], Step [200/1289], Loss: 0.0316
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [250/1289], Loss: 0.0194
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [300/1289], Loss: 0.0207
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [350/1289], Loss: 0.0734
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [400/1289], Loss: 0.0079
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [450/1289], Loss: 0.0485
|
||||
Wed, 14 Sep 2022 10:34:53: Epoch [17/25], Step [500/1289], Loss: 0.0390
|
||||
Wed, 14 Sep 2022 10:34:54: Epoch [17/25], Step [550/1289], Loss: 0.0380
|
||||
Wed, 14 Sep 2022 10:34:54: Epoch [17/25], Step [600/1289], Loss: 0.0644
|
||||
Wed, 14 Sep 2022 10:34:54: Epoch [17/25], Step [650/1289], Loss: 0.0303
|
||||
Wed, 14 Sep 2022 10:34:54: Epoch [17/25], Step [700/1289], Loss: 0.0168
|
||||
Wed, 14 Sep 2022 10:34:54: Epoch [17/25], Step [750/1289], Loss: 0.0729
|
||||
Wed, 14 Sep 2022 10:34:55: Epoch [17/25], Step [800/1289], Loss: 0.0068
|
||||
Wed, 14 Sep 2022 10:34:55: Epoch [17/25], Step [850/1289], Loss: 0.0218
|
||||
Wed, 14 Sep 2022 10:34:55: Epoch [17/25], Step [900/1289], Loss: 0.0765
|
||||
Wed, 14 Sep 2022 10:34:55: Epoch [17/25], Step [950/1289], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 10:34:55: Epoch [17/25], Step [1000/1289], Loss: 0.0633
|
||||
Wed, 14 Sep 2022 10:34:56: Epoch [17/25], Step [1050/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 10:34:56: Epoch [17/25], Step [1100/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 10:34:56: Epoch [17/25], Step [1150/1289], Loss: 0.0272
|
||||
Wed, 14 Sep 2022 10:34:56: Epoch [17/25], Step [1200/1289], Loss: 0.0205
|
||||
Wed, 14 Sep 2022 10:34:56: Epoch [17/25], Step [1250/1289], Loss: 0.0120
|
||||
Wed, 14 Sep 2022 10:34:57: Epoch [18/25], Step [50/1289], Loss: 0.0136
|
||||
Wed, 14 Sep 2022 10:34:57: Epoch [18/25], Step [100/1289], Loss: 0.0154
|
||||
Wed, 14 Sep 2022 10:34:57: Epoch [18/25], Step [150/1289], Loss: 0.0424
|
||||
Wed, 14 Sep 2022 10:34:57: Epoch [18/25], Step [200/1289], Loss: 0.0287
|
||||
Wed, 14 Sep 2022 10:34:57: Epoch [18/25], Step [250/1289], Loss: 0.0545
|
||||
Wed, 14 Sep 2022 10:34:58: Epoch [18/25], Step [300/1289], Loss: 0.0090
|
||||
Wed, 14 Sep 2022 10:34:58: Epoch [18/25], Step [350/1289], Loss: 0.0214
|
||||
Wed, 14 Sep 2022 10:34:58: Epoch [18/25], Step [400/1289], Loss: 0.0507
|
||||
Wed, 14 Sep 2022 10:34:58: Epoch [18/25], Step [450/1289], Loss: 0.0452
|
||||
Wed, 14 Sep 2022 10:34:58: Epoch [18/25], Step [500/1289], Loss: 0.0603
|
||||
Wed, 14 Sep 2022 10:34:59: Epoch [18/25], Step [550/1289], Loss: 0.0794
|
||||
Wed, 14 Sep 2022 10:34:59: Epoch [18/25], Step [600/1289], Loss: 0.0766
|
||||
Wed, 14 Sep 2022 10:34:59: Epoch [18/25], Step [650/1289], Loss: 0.0399
|
||||
Wed, 14 Sep 2022 10:34:59: Epoch [18/25], Step [700/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 10:34:59: Epoch [18/25], Step [750/1289], Loss: 0.0323
|
||||
Wed, 14 Sep 2022 10:35:00: Epoch [18/25], Step [800/1289], Loss: 0.0228
|
||||
Wed, 14 Sep 2022 10:35:00: Epoch [18/25], Step [850/1289], Loss: 0.0771
|
||||
Wed, 14 Sep 2022 10:35:00: Epoch [18/25], Step [900/1289], Loss: 0.0377
|
||||
Wed, 14 Sep 2022 10:35:00: Epoch [18/25], Step [950/1289], Loss: 0.0878
|
||||
Wed, 14 Sep 2022 10:35:00: Epoch [18/25], Step [1000/1289], Loss: 0.0905
|
||||
Wed, 14 Sep 2022 10:35:01: Epoch [18/25], Step [1050/1289], Loss: 0.0392
|
||||
Wed, 14 Sep 2022 10:35:01: Epoch [18/25], Step [1100/1289], Loss: 0.0249
|
||||
Wed, 14 Sep 2022 10:35:01: Epoch [18/25], Step [1150/1289], Loss: 0.0409
|
||||
Wed, 14 Sep 2022 10:35:01: Epoch [18/25], Step [1200/1289], Loss: 0.0157
|
||||
Wed, 14 Sep 2022 10:35:01: Epoch [18/25], Step [1250/1289], Loss: 0.1194
|
||||
Wed, 14 Sep 2022 10:35:02: Epoch [19/25], Step [50/1289], Loss: 0.0483
|
||||
Wed, 14 Sep 2022 10:35:02: Epoch [19/25], Step [100/1289], Loss: 0.0253
|
||||
Wed, 14 Sep 2022 10:35:02: Epoch [19/25], Step [150/1289], Loss: 0.0068
|
||||
Wed, 14 Sep 2022 10:35:02: Epoch [19/25], Step [200/1289], Loss: 0.0247
|
||||
Wed, 14 Sep 2022 10:35:03: Epoch [19/25], Step [250/1289], Loss: 0.0575
|
||||
Wed, 14 Sep 2022 10:35:03: Epoch [19/25], Step [300/1289], Loss: 0.0319
|
||||
Wed, 14 Sep 2022 10:35:03: Epoch [19/25], Step [350/1289], Loss: 0.0198
|
||||
Wed, 14 Sep 2022 10:35:03: Epoch [19/25], Step [400/1289], Loss: 0.0570
|
||||
Wed, 14 Sep 2022 10:35:04: Epoch [19/25], Step [450/1289], Loss: 0.0210
|
||||
Wed, 14 Sep 2022 10:35:04: Epoch [19/25], Step [500/1289], Loss: 0.0220
|
||||
Wed, 14 Sep 2022 10:35:04: Epoch [19/25], Step [550/1289], Loss: 0.0220
|
||||
Wed, 14 Sep 2022 10:35:04: Epoch [19/25], Step [600/1289], Loss: 0.0288
|
||||
Wed, 14 Sep 2022 10:35:04: Epoch [19/25], Step [650/1289], Loss: 0.0153
|
||||
Wed, 14 Sep 2022 10:35:05: Epoch [19/25], Step [700/1289], Loss: 0.1033
|
||||
Wed, 14 Sep 2022 10:35:05: Epoch [19/25], Step [750/1289], Loss: 0.0268
|
||||
Wed, 14 Sep 2022 10:35:05: Epoch [19/25], Step [800/1289], Loss: 0.0154
|
||||
Wed, 14 Sep 2022 10:35:05: Epoch [19/25], Step [850/1289], Loss: 0.0254
|
||||
Wed, 14 Sep 2022 10:35:05: Epoch [19/25], Step [900/1289], Loss: 0.0118
|
||||
Wed, 14 Sep 2022 10:35:06: Epoch [19/25], Step [950/1289], Loss: 0.0327
|
||||
Wed, 14 Sep 2022 10:35:06: Epoch [19/25], Step [1000/1289], Loss: 0.0919
|
||||
Wed, 14 Sep 2022 10:35:06: Epoch [19/25], Step [1050/1289], Loss: 0.0211
|
||||
Wed, 14 Sep 2022 10:35:06: Epoch [19/25], Step [1100/1289], Loss: 0.0087
|
||||
Wed, 14 Sep 2022 10:35:06: Epoch [19/25], Step [1150/1289], Loss: 0.0414
|
||||
Wed, 14 Sep 2022 10:35:07: Epoch [19/25], Step [1200/1289], Loss: 0.0461
|
||||
Wed, 14 Sep 2022 10:35:07: Epoch [19/25], Step [1250/1289], Loss: 0.0402
|
||||
Wed, 14 Sep 2022 10:35:07: Epoch [20/25], Step [50/1289], Loss: 0.0086
|
||||
Wed, 14 Sep 2022 10:35:07: Epoch [20/25], Step [100/1289], Loss: 0.0241
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [150/1289], Loss: 0.0216
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [200/1289], Loss: 0.0193
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [250/1289], Loss: 0.0649
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [300/1289], Loss: 0.0605
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [350/1289], Loss: 0.0789
|
||||
Wed, 14 Sep 2022 10:35:08: Epoch [20/25], Step [400/1289], Loss: 0.0771
|
||||
Wed, 14 Sep 2022 10:35:09: Epoch [20/25], Step [450/1289], Loss: 0.0221
|
||||
Wed, 14 Sep 2022 10:35:09: Epoch [20/25], Step [500/1289], Loss: 0.0424
|
||||
Wed, 14 Sep 2022 10:35:09: Epoch [20/25], Step [550/1289], Loss: 0.0201
|
||||
Wed, 14 Sep 2022 10:35:09: Epoch [20/25], Step [600/1289], Loss: 0.0346
|
||||
Wed, 14 Sep 2022 10:35:09: Epoch [20/25], Step [650/1289], Loss: 0.0121
|
||||
Wed, 14 Sep 2022 10:35:10: Epoch [20/25], Step [700/1289], Loss: 0.0757
|
||||
Wed, 14 Sep 2022 10:35:10: Epoch [20/25], Step [750/1289], Loss: 0.0557
|
||||
Wed, 14 Sep 2022 10:35:10: Epoch [20/25], Step [800/1289], Loss: 0.0162
|
||||
Wed, 14 Sep 2022 10:35:10: Epoch [20/25], Step [850/1289], Loss: 0.0217
|
||||
Wed, 14 Sep 2022 10:35:10: Epoch [20/25], Step [900/1289], Loss: 0.0494
|
||||
Wed, 14 Sep 2022 10:35:11: Epoch [20/25], Step [950/1289], Loss: 0.0435
|
||||
Wed, 14 Sep 2022 10:35:11: Epoch [20/25], Step [1000/1289], Loss: 0.0370
|
||||
Wed, 14 Sep 2022 10:35:11: Epoch [20/25], Step [1050/1289], Loss: 0.0242
|
||||
Wed, 14 Sep 2022 10:35:11: Epoch [20/25], Step [1100/1289], Loss: 0.0141
|
||||
Wed, 14 Sep 2022 10:35:11: Epoch [20/25], Step [1150/1289], Loss: 0.1074
|
||||
Wed, 14 Sep 2022 10:35:12: Epoch [20/25], Step [1200/1289], Loss: 0.0596
|
||||
Wed, 14 Sep 2022 10:35:12: Epoch [20/25], Step [1250/1289], Loss: 0.0225
|
||||
Wed, 14 Sep 2022 10:35:12: Epoch [21/25], Step [50/1289], Loss: 0.0128
|
||||
Wed, 14 Sep 2022 10:35:12: Epoch [21/25], Step [100/1289], Loss: 0.0160
|
||||
Wed, 14 Sep 2022 10:35:12: Epoch [21/25], Step [150/1289], Loss: 0.0141
|
||||
Wed, 14 Sep 2022 10:35:13: Epoch [21/25], Step [200/1289], Loss: 0.0210
|
||||
Wed, 14 Sep 2022 10:35:13: Epoch [21/25], Step [250/1289], Loss: 0.0339
|
||||
Wed, 14 Sep 2022 10:35:13: Epoch [21/25], Step [300/1289], Loss: 0.0608
|
||||
Wed, 14 Sep 2022 10:35:13: Epoch [21/25], Step [350/1289], Loss: 0.0383
|
||||
Wed, 14 Sep 2022 10:35:13: Epoch [21/25], Step [400/1289], Loss: 0.0286
|
||||
Wed, 14 Sep 2022 10:35:14: Epoch [21/25], Step [450/1289], Loss: 0.1051
|
||||
Wed, 14 Sep 2022 10:35:14: Epoch [21/25], Step [500/1289], Loss: 0.0214
|
||||
Wed, 14 Sep 2022 10:35:14: Epoch [21/25], Step [550/1289], Loss: 0.1886
|
||||
Wed, 14 Sep 2022 10:35:14: Epoch [21/25], Step [600/1289], Loss: 0.0617
|
||||
Wed, 14 Sep 2022 10:35:14: Epoch [21/25], Step [650/1289], Loss: 0.0326
|
||||
Wed, 14 Sep 2022 10:35:15: Epoch [21/25], Step [700/1289], Loss: 0.0349
|
||||
Wed, 14 Sep 2022 10:35:15: Epoch [21/25], Step [750/1289], Loss: 0.0105
|
||||
Wed, 14 Sep 2022 10:35:15: Epoch [21/25], Step [800/1289], Loss: 0.0610
|
||||
Wed, 14 Sep 2022 10:35:15: Epoch [21/25], Step [850/1289], Loss: 0.0070
|
||||
Wed, 14 Sep 2022 10:35:15: Epoch [21/25], Step [900/1289], Loss: 0.0181
|
||||
Wed, 14 Sep 2022 10:35:16: Epoch [21/25], Step [950/1289], Loss: 0.0284
|
||||
Wed, 14 Sep 2022 10:35:16: Epoch [21/25], Step [1000/1289], Loss: 0.0133
|
||||
Wed, 14 Sep 2022 10:35:16: Epoch [21/25], Step [1050/1289], Loss: 0.0659
|
||||
Wed, 14 Sep 2022 10:35:16: Epoch [21/25], Step [1100/1289], Loss: 0.0929
|
||||
Wed, 14 Sep 2022 10:35:16: Epoch [21/25], Step [1150/1289], Loss: 0.0146
|
||||
Wed, 14 Sep 2022 10:35:17: Epoch [21/25], Step [1200/1289], Loss: 0.0557
|
||||
Wed, 14 Sep 2022 10:35:17: Epoch [21/25], Step [1250/1289], Loss: 0.0763
|
||||
Wed, 14 Sep 2022 10:35:17: Epoch [22/25], Step [50/1289], Loss: 0.0408
|
||||
Wed, 14 Sep 2022 10:35:18: Epoch [22/25], Step [100/1289], Loss: 0.0200
|
||||
Wed, 14 Sep 2022 10:35:18: Epoch [22/25], Step [150/1289], Loss: 0.0175
|
||||
Wed, 14 Sep 2022 10:35:18: Epoch [22/25], Step [200/1289], Loss: 0.0654
|
||||
Wed, 14 Sep 2022 10:35:18: Epoch [22/25], Step [250/1289], Loss: 0.0166
|
||||
Wed, 14 Sep 2022 10:35:18: Epoch [22/25], Step [300/1289], Loss: 0.0071
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [350/1289], Loss: 0.0325
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [400/1289], Loss: 0.0174
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [450/1289], Loss: 0.0660
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [500/1289], Loss: 0.0414
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [550/1289], Loss: 0.0414
|
||||
Wed, 14 Sep 2022 10:35:19: Epoch [22/25], Step [600/1289], Loss: 0.0841
|
||||
Wed, 14 Sep 2022 10:35:20: Epoch [22/25], Step [650/1289], Loss: 0.0398
|
||||
Wed, 14 Sep 2022 10:35:20: Epoch [22/25], Step [700/1289], Loss: 0.0205
|
||||
Wed, 14 Sep 2022 10:35:20: Epoch [22/25], Step [750/1289], Loss: 0.0105
|
||||
Wed, 14 Sep 2022 10:35:20: Epoch [22/25], Step [800/1289], Loss: 0.0478
|
||||
Wed, 14 Sep 2022 10:35:20: Epoch [22/25], Step [850/1289], Loss: 0.0146
|
||||
Wed, 14 Sep 2022 10:35:21: Epoch [22/25], Step [900/1289], Loss: 0.0106
|
||||
Wed, 14 Sep 2022 10:35:21: Epoch [22/25], Step [950/1289], Loss: 0.0244
|
||||
Wed, 14 Sep 2022 10:35:21: Epoch [22/25], Step [1000/1289], Loss: 0.0775
|
||||
Wed, 14 Sep 2022 10:35:21: Epoch [22/25], Step [1050/1289], Loss: 0.1058
|
||||
Wed, 14 Sep 2022 10:35:21: Epoch [22/25], Step [1100/1289], Loss: 0.0118
|
||||
Wed, 14 Sep 2022 10:35:22: Epoch [22/25], Step [1150/1289], Loss: 0.0478
|
||||
Wed, 14 Sep 2022 10:35:22: Epoch [22/25], Step [1200/1289], Loss: 0.0492
|
||||
Wed, 14 Sep 2022 10:35:22: Epoch [22/25], Step [1250/1289], Loss: 0.0317
|
||||
Wed, 14 Sep 2022 10:35:22: Epoch [23/25], Step [50/1289], Loss: 0.0230
|
||||
Wed, 14 Sep 2022 10:35:22: Epoch [23/25], Step [100/1289], Loss: 0.0109
|
||||
Wed, 14 Sep 2022 10:35:23: Epoch [23/25], Step [150/1289], Loss: 0.0763
|
||||
Wed, 14 Sep 2022 10:35:23: Epoch [23/25], Step [200/1289], Loss: 0.0248
|
||||
Wed, 14 Sep 2022 10:35:23: Epoch [23/25], Step [250/1289], Loss: 0.0749
|
||||
Wed, 14 Sep 2022 10:35:23: Epoch [23/25], Step [300/1289], Loss: 0.0637
|
||||
Wed, 14 Sep 2022 10:35:23: Epoch [23/25], Step [350/1289], Loss: 0.0263
|
||||
Wed, 14 Sep 2022 10:35:24: Epoch [23/25], Step [400/1289], Loss: 0.0067
|
||||
Wed, 14 Sep 2022 10:35:24: Epoch [23/25], Step [450/1289], Loss: 0.0576
|
||||
Wed, 14 Sep 2022 10:35:24: Epoch [23/25], Step [500/1289], Loss: 0.0490
|
||||
Wed, 14 Sep 2022 10:35:24: Epoch [23/25], Step [550/1289], Loss: 0.0483
|
||||
Wed, 14 Sep 2022 10:35:24: Epoch [23/25], Step [600/1289], Loss: 0.0194
|
||||
Wed, 14 Sep 2022 10:35:25: Epoch [23/25], Step [650/1289], Loss: 0.0613
|
||||
Wed, 14 Sep 2022 10:35:25: Epoch [23/25], Step [700/1289], Loss: 0.0073
|
||||
Wed, 14 Sep 2022 10:35:25: Epoch [23/25], Step [750/1289], Loss: 0.0279
|
||||
Wed, 14 Sep 2022 10:35:25: Epoch [23/25], Step [800/1289], Loss: 0.1170
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [850/1289], Loss: 0.0202
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [900/1289], Loss: 0.0166
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [950/1289], Loss: 0.0897
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [1000/1289], Loss: 0.0093
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [1050/1289], Loss: 0.0046
|
||||
Wed, 14 Sep 2022 10:35:26: Epoch [23/25], Step [1100/1289], Loss: 0.1078
|
||||
Wed, 14 Sep 2022 10:35:27: Epoch [23/25], Step [1150/1289], Loss: 0.0305
|
||||
Wed, 14 Sep 2022 10:35:27: Epoch [23/25], Step [1200/1289], Loss: 0.0415
|
||||
Wed, 14 Sep 2022 10:35:27: Epoch [23/25], Step [1250/1289], Loss: 0.0185
|
||||
Wed, 14 Sep 2022 10:35:27: Epoch [24/25], Step [50/1289], Loss: 0.0127
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [100/1289], Loss: 0.0230
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [150/1289], Loss: 0.0068
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [200/1289], Loss: 0.0437
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [250/1289], Loss: 0.0410
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [300/1289], Loss: 0.0253
|
||||
Wed, 14 Sep 2022 10:35:28: Epoch [24/25], Step [350/1289], Loss: 0.0194
|
||||
Wed, 14 Sep 2022 10:35:29: Epoch [24/25], Step [400/1289], Loss: 0.0704
|
||||
Wed, 14 Sep 2022 10:35:29: Epoch [24/25], Step [450/1289], Loss: 0.0139
|
||||
Wed, 14 Sep 2022 10:35:29: Epoch [24/25], Step [500/1289], Loss: 0.0884
|
||||
Wed, 14 Sep 2022 10:35:29: Epoch [24/25], Step [550/1289], Loss: 0.0217
|
||||
Wed, 14 Sep 2022 10:35:29: Epoch [24/25], Step [600/1289], Loss: 0.0459
|
||||
Wed, 14 Sep 2022 10:35:30: Epoch [24/25], Step [650/1289], Loss: 0.0328
|
||||
Wed, 14 Sep 2022 10:35:30: Epoch [24/25], Step [700/1289], Loss: 0.0678
|
||||
Wed, 14 Sep 2022 10:35:30: Epoch [24/25], Step [750/1289], Loss: 0.0489
|
||||
Wed, 14 Sep 2022 10:35:30: Epoch [24/25], Step [800/1289], Loss: 0.0493
|
||||
Wed, 14 Sep 2022 10:35:30: Epoch [24/25], Step [850/1289], Loss: 0.1061
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [900/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [950/1289], Loss: 0.0445
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [1000/1289], Loss: 0.0941
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [1050/1289], Loss: 0.0740
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [1100/1289], Loss: 0.0905
|
||||
Wed, 14 Sep 2022 10:35:31: Epoch [24/25], Step [1150/1289], Loss: 0.0058
|
||||
Wed, 14 Sep 2022 10:35:32: Epoch [24/25], Step [1200/1289], Loss: 0.0143
|
||||
Wed, 14 Sep 2022 10:35:32: Epoch [24/25], Step [1250/1289], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 10:35:32: Epoch [25/25], Step [50/1289], Loss: 0.0124
|
||||
Wed, 14 Sep 2022 10:35:32: Epoch [25/25], Step [100/1289], Loss: 0.1115
|
||||
Wed, 14 Sep 2022 10:35:33: Epoch [25/25], Step [150/1289], Loss: 0.0178
|
||||
Wed, 14 Sep 2022 10:35:33: Epoch [25/25], Step [200/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 10:35:33: Epoch [25/25], Step [250/1289], Loss: 0.0547
|
||||
Wed, 14 Sep 2022 10:35:33: Epoch [25/25], Step [300/1289], Loss: 0.1140
|
||||
Wed, 14 Sep 2022 10:35:33: Epoch [25/25], Step [350/1289], Loss: 0.1159
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [400/1289], Loss: 0.0565
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [450/1289], Loss: 0.1069
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [500/1289], Loss: 0.0079
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [550/1289], Loss: 0.0129
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [600/1289], Loss: 0.0543
|
||||
Wed, 14 Sep 2022 10:35:34: Epoch [25/25], Step [650/1289], Loss: 0.0125
|
||||
Wed, 14 Sep 2022 10:35:35: Epoch [25/25], Step [700/1289], Loss: 0.0365
|
||||
Wed, 14 Sep 2022 10:35:35: Epoch [25/25], Step [750/1289], Loss: 0.0361
|
||||
Wed, 14 Sep 2022 10:35:35: Epoch [25/25], Step [800/1289], Loss: 0.0248
|
||||
Wed, 14 Sep 2022 10:35:35: Epoch [25/25], Step [850/1289], Loss: 0.0217
|
||||
Wed, 14 Sep 2022 10:35:35: Epoch [25/25], Step [900/1289], Loss: 0.0143
|
||||
Wed, 14 Sep 2022 10:35:36: Epoch [25/25], Step [950/1289], Loss: 0.0950
|
||||
Wed, 14 Sep 2022 10:35:36: Epoch [25/25], Step [1000/1289], Loss: 0.0371
|
||||
Wed, 14 Sep 2022 10:35:36: Epoch [25/25], Step [1050/1289], Loss: 0.0652
|
||||
Wed, 14 Sep 2022 10:35:36: Epoch [25/25], Step [1100/1289], Loss: 0.0699
|
||||
Wed, 14 Sep 2022 10:35:36: Epoch [25/25], Step [1150/1289], Loss: 0.0444
|
||||
Wed, 14 Sep 2022 10:35:37: Epoch [25/25], Step [1200/1289], Loss: 0.0182
|
||||
Wed, 14 Sep 2022 10:35:37: Epoch [25/25], Step [1250/1289], Loss: 0.0444
|
||||
Wed, 14 Sep 2022 10:35:37: start testing on test dataset
|
||||
Wed, 14 Sep 2022 10:35:38: f1 :0.9671501571079443
|
||||
Wed, 14 Sep 2022 10:35:38:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9477 0.9904 0.9686 16103
|
||||
1 0.9899 0.9454 0.9672 16116
|
||||
|
||||
accuracy 0.9679 32219
|
||||
macro avg 0.9688 0.9679 0.9679 32219
|
||||
weighted avg 0.9688 0.9679 0.9679 32219
|
||||
|
||||
Wed, 14 Sep 2022 10:35:38:
|
||||
[[15948 155]
|
||||
[ 880 15236]]
|
||||
Wed, 14 Sep 2022 10:35:38: high_num,high_true,high_false:5412,5092,320
|
||||
Wed, 14 Sep 2022 10:35:38: low_num,low_true,low_false:10704,10144,560
|
||||
647
代码/sequenceShield/论文数据/ss-lstm-cicddos2019-directionless.log
Normal file
647
代码/sequenceShield/论文数据/ss-lstm-cicddos2019-directionless.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Thu, 08 Sep 2022 13:33:25: -------------
|
||||
Thu, 08 Sep 2022 13:33:25: cuda is_available:True
|
||||
Thu, 08 Sep 2022 13:33:25: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Thu, 08 Sep 2022 13:33:25: get protocols:
|
||||
Thu, 08 Sep 2022 13:33:25: reading csv file: all.csv
|
||||
Thu, 08 Sep 2022 13:35:09: procols num: 484
|
||||
Thu, 08 Sep 2022 13:35:09: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Thu, 08 Sep 2022 13:35:11: preprocessing file ./cicddos2019/label/all.csv
|
||||
Thu, 08 Sep 2022 13:36:05: before sampling number_1:1546004
|
||||
Thu, 08 Sep 2022 13:36:05: before sampling number_0:20691
|
||||
Thu, 08 Sep 2022 14:00:32: start training ./cicddos2019/label/all.csv
|
||||
Thu, 08 Sep 2022 14:00:43: Epoch [1/10], Step [200/12534], Loss: 0.4611
|
||||
Thu, 08 Sep 2022 14:00:54: Epoch [1/10], Step [400/12534], Loss: 0.3649
|
||||
Thu, 08 Sep 2022 14:01:05: Epoch [1/10], Step [600/12534], Loss: 0.1828
|
||||
Thu, 08 Sep 2022 14:01:15: Epoch [1/10], Step [800/12534], Loss: 0.2803
|
||||
Thu, 08 Sep 2022 14:01:26: Epoch [1/10], Step [1000/12534], Loss: 0.1518
|
||||
Thu, 08 Sep 2022 14:01:37: Epoch [1/10], Step [1200/12534], Loss: 0.1800
|
||||
Thu, 08 Sep 2022 14:01:47: Epoch [1/10], Step [1400/12534], Loss: 0.1817
|
||||
Thu, 08 Sep 2022 14:01:58: Epoch [1/10], Step [1600/12534], Loss: 0.1753
|
||||
Thu, 08 Sep 2022 14:02:09: Epoch [1/10], Step [1800/12534], Loss: 0.2154
|
||||
Thu, 08 Sep 2022 14:02:19: Epoch [1/10], Step [2000/12534], Loss: 0.5574
|
||||
Thu, 08 Sep 2022 14:02:30: Epoch [1/10], Step [2200/12534], Loss: 0.4936
|
||||
Thu, 08 Sep 2022 14:02:41: Epoch [1/10], Step [2400/12534], Loss: 0.5169
|
||||
Thu, 08 Sep 2022 14:02:51: Epoch [1/10], Step [2600/12534], Loss: 0.4025
|
||||
Thu, 08 Sep 2022 14:03:02: Epoch [1/10], Step [2800/12534], Loss: 0.3906
|
||||
Thu, 08 Sep 2022 14:03:13: Epoch [1/10], Step [3000/12534], Loss: 0.3921
|
||||
Thu, 08 Sep 2022 14:03:23: Epoch [1/10], Step [3200/12534], Loss: 0.4317
|
||||
Thu, 08 Sep 2022 14:03:34: Epoch [1/10], Step [3400/12534], Loss: 0.4771
|
||||
Thu, 08 Sep 2022 14:03:45: Epoch [1/10], Step [3600/12534], Loss: 0.4400
|
||||
Thu, 08 Sep 2022 14:03:56: Epoch [1/10], Step [3800/12534], Loss: 0.3915
|
||||
Thu, 08 Sep 2022 14:04:06: Epoch [1/10], Step [4000/12534], Loss: 0.3792
|
||||
Thu, 08 Sep 2022 14:04:17: Epoch [1/10], Step [4200/12534], Loss: 0.5021
|
||||
Thu, 08 Sep 2022 14:04:28: Epoch [1/10], Step [4400/12534], Loss: 0.4074
|
||||
Thu, 08 Sep 2022 14:04:39: Epoch [1/10], Step [4600/12534], Loss: 0.3446
|
||||
Thu, 08 Sep 2022 14:04:50: Epoch [1/10], Step [4800/12534], Loss: 0.1924
|
||||
Thu, 08 Sep 2022 14:05:00: Epoch [1/10], Step [5000/12534], Loss: 0.2983
|
||||
Thu, 08 Sep 2022 14:05:11: Epoch [1/10], Step [5200/12534], Loss: 0.3794
|
||||
Thu, 08 Sep 2022 14:05:22: Epoch [1/10], Step [5400/12534], Loss: 0.1828
|
||||
Thu, 08 Sep 2022 14:05:32: Epoch [1/10], Step [5600/12534], Loss: 0.1276
|
||||
Thu, 08 Sep 2022 14:05:43: Epoch [1/10], Step [5800/12534], Loss: 0.1662
|
||||
Thu, 08 Sep 2022 14:05:54: Epoch [1/10], Step [6000/12534], Loss: 0.1356
|
||||
Thu, 08 Sep 2022 14:06:05: Epoch [1/10], Step [6200/12534], Loss: 0.2204
|
||||
Thu, 08 Sep 2022 14:06:16: Epoch [1/10], Step [6400/12534], Loss: 0.1673
|
||||
Thu, 08 Sep 2022 14:06:26: Epoch [1/10], Step [6600/12534], Loss: 0.0904
|
||||
Thu, 08 Sep 2022 14:06:37: Epoch [1/10], Step [6800/12534], Loss: 0.1918
|
||||
Thu, 08 Sep 2022 14:06:48: Epoch [1/10], Step [7000/12534], Loss: 0.1620
|
||||
Thu, 08 Sep 2022 14:06:59: Epoch [1/10], Step [7200/12534], Loss: 0.1599
|
||||
Thu, 08 Sep 2022 14:07:09: Epoch [1/10], Step [7400/12534], Loss: 0.1644
|
||||
Thu, 08 Sep 2022 14:07:20: Epoch [1/10], Step [7600/12534], Loss: 0.2097
|
||||
Thu, 08 Sep 2022 14:07:31: Epoch [1/10], Step [7800/12534], Loss: 0.1493
|
||||
Thu, 08 Sep 2022 14:07:42: Epoch [1/10], Step [8000/12534], Loss: 0.5216
|
||||
Thu, 08 Sep 2022 14:07:52: Epoch [1/10], Step [8200/12534], Loss: 0.1839
|
||||
Thu, 08 Sep 2022 14:08:03: Epoch [1/10], Step [8400/12534], Loss: 0.0994
|
||||
Thu, 08 Sep 2022 14:08:14: Epoch [1/10], Step [8600/12534], Loss: 0.1683
|
||||
Thu, 08 Sep 2022 14:08:25: Epoch [1/10], Step [8800/12534], Loss: 0.1381
|
||||
Thu, 08 Sep 2022 14:08:35: Epoch [1/10], Step [9000/12534], Loss: 0.1256
|
||||
Thu, 08 Sep 2022 14:08:46: Epoch [1/10], Step [9200/12534], Loss: 0.2079
|
||||
Thu, 08 Sep 2022 14:08:57: Epoch [1/10], Step [9400/12534], Loss: 0.1084
|
||||
Thu, 08 Sep 2022 14:09:08: Epoch [1/10], Step [9600/12534], Loss: 0.1242
|
||||
Thu, 08 Sep 2022 14:09:19: Epoch [1/10], Step [9800/12534], Loss: 0.1440
|
||||
Thu, 08 Sep 2022 14:09:29: Epoch [1/10], Step [10000/12534], Loss: 0.1336
|
||||
Thu, 08 Sep 2022 14:09:40: Epoch [1/10], Step [10200/12534], Loss: 0.0899
|
||||
Thu, 08 Sep 2022 14:09:51: Epoch [1/10], Step [10400/12534], Loss: 0.1274
|
||||
Thu, 08 Sep 2022 14:10:02: Epoch [1/10], Step [10600/12534], Loss: 0.1968
|
||||
Thu, 08 Sep 2022 14:10:13: Epoch [1/10], Step [10800/12534], Loss: 0.1218
|
||||
Thu, 08 Sep 2022 14:10:24: Epoch [1/10], Step [11000/12534], Loss: 0.2027
|
||||
Thu, 08 Sep 2022 14:10:34: Epoch [1/10], Step [11200/12534], Loss: 0.1276
|
||||
Thu, 08 Sep 2022 14:10:45: Epoch [1/10], Step [11400/12534], Loss: 0.1752
|
||||
Thu, 08 Sep 2022 14:10:56: Epoch [1/10], Step [11600/12534], Loss: 0.2110
|
||||
Thu, 08 Sep 2022 14:11:07: Epoch [1/10], Step [11800/12534], Loss: 0.1534
|
||||
Thu, 08 Sep 2022 14:11:17: Epoch [1/10], Step [12000/12534], Loss: 0.0909
|
||||
Thu, 08 Sep 2022 14:11:28: Epoch [1/10], Step [12200/12534], Loss: 0.1651
|
||||
Thu, 08 Sep 2022 14:11:39: Epoch [1/10], Step [12400/12534], Loss: 0.1260
|
||||
Thu, 08 Sep 2022 14:11:57: Epoch [2/10], Step [200/12534], Loss: 0.1399
|
||||
Thu, 08 Sep 2022 14:12:08: Epoch [2/10], Step [400/12534], Loss: 0.3541
|
||||
Thu, 08 Sep 2022 14:12:19: Epoch [2/10], Step [600/12534], Loss: 0.1881
|
||||
Thu, 08 Sep 2022 14:12:29: Epoch [2/10], Step [800/12534], Loss: 0.1720
|
||||
Thu, 08 Sep 2022 14:12:40: Epoch [2/10], Step [1000/12534], Loss: 0.2665
|
||||
Thu, 08 Sep 2022 14:12:51: Epoch [2/10], Step [1200/12534], Loss: 0.2294
|
||||
Thu, 08 Sep 2022 14:13:02: Epoch [2/10], Step [1400/12534], Loss: 0.1334
|
||||
Thu, 08 Sep 2022 14:13:12: Epoch [2/10], Step [1600/12534], Loss: 0.2056
|
||||
Thu, 08 Sep 2022 14:13:23: Epoch [2/10], Step [1800/12534], Loss: 0.1063
|
||||
Thu, 08 Sep 2022 14:13:34: Epoch [2/10], Step [2000/12534], Loss: 0.1622
|
||||
Thu, 08 Sep 2022 14:13:45: Epoch [2/10], Step [2200/12534], Loss: 0.1527
|
||||
Thu, 08 Sep 2022 14:13:55: Epoch [2/10], Step [2400/12534], Loss: 0.2346
|
||||
Thu, 08 Sep 2022 14:14:06: Epoch [2/10], Step [2600/12534], Loss: 0.1556
|
||||
Thu, 08 Sep 2022 14:14:17: Epoch [2/10], Step [2800/12534], Loss: 0.1377
|
||||
Thu, 08 Sep 2022 14:14:28: Epoch [2/10], Step [3000/12534], Loss: 0.1492
|
||||
Thu, 08 Sep 2022 14:14:38: Epoch [2/10], Step [3200/12534], Loss: 0.2089
|
||||
Thu, 08 Sep 2022 14:14:49: Epoch [2/10], Step [3400/12534], Loss: 0.1558
|
||||
Thu, 08 Sep 2022 14:15:00: Epoch [2/10], Step [3600/12534], Loss: 0.1757
|
||||
Thu, 08 Sep 2022 14:15:11: Epoch [2/10], Step [3800/12534], Loss: 0.1373
|
||||
Thu, 08 Sep 2022 14:15:21: Epoch [2/10], Step [4000/12534], Loss: 0.1847
|
||||
Thu, 08 Sep 2022 14:15:32: Epoch [2/10], Step [4200/12534], Loss: 0.1442
|
||||
Thu, 08 Sep 2022 14:15:43: Epoch [2/10], Step [4400/12534], Loss: 0.2158
|
||||
Thu, 08 Sep 2022 14:15:54: Epoch [2/10], Step [4600/12534], Loss: 0.1226
|
||||
Thu, 08 Sep 2022 14:16:04: Epoch [2/10], Step [4800/12534], Loss: 0.1866
|
||||
Thu, 08 Sep 2022 14:16:15: Epoch [2/10], Step [5000/12534], Loss: 0.1211
|
||||
Thu, 08 Sep 2022 14:16:26: Epoch [2/10], Step [5200/12534], Loss: 0.1940
|
||||
Thu, 08 Sep 2022 14:16:37: Epoch [2/10], Step [5400/12534], Loss: 0.1438
|
||||
Thu, 08 Sep 2022 14:16:47: Epoch [2/10], Step [5600/12534], Loss: 0.1523
|
||||
Thu, 08 Sep 2022 14:16:58: Epoch [2/10], Step [5800/12534], Loss: 0.1459
|
||||
Thu, 08 Sep 2022 14:17:09: Epoch [2/10], Step [6000/12534], Loss: 0.1857
|
||||
Thu, 08 Sep 2022 14:17:20: Epoch [2/10], Step [6200/12534], Loss: 0.1529
|
||||
Thu, 08 Sep 2022 14:17:30: Epoch [2/10], Step [6400/12534], Loss: 0.1684
|
||||
Thu, 08 Sep 2022 14:17:41: Epoch [2/10], Step [6600/12534], Loss: 0.1305
|
||||
Thu, 08 Sep 2022 14:17:52: Epoch [2/10], Step [6800/12534], Loss: 0.1577
|
||||
Thu, 08 Sep 2022 14:18:03: Epoch [2/10], Step [7000/12534], Loss: 0.1865
|
||||
Thu, 08 Sep 2022 14:18:13: Epoch [2/10], Step [7200/12534], Loss: 0.1590
|
||||
Thu, 08 Sep 2022 14:18:24: Epoch [2/10], Step [7400/12534], Loss: 0.1667
|
||||
Thu, 08 Sep 2022 14:18:35: Epoch [2/10], Step [7600/12534], Loss: 0.1318
|
||||
Thu, 08 Sep 2022 14:18:45: Epoch [2/10], Step [7800/12534], Loss: 0.1509
|
||||
Thu, 08 Sep 2022 14:18:56: Epoch [2/10], Step [8000/12534], Loss: 0.2024
|
||||
Thu, 08 Sep 2022 14:19:07: Epoch [2/10], Step [8200/12534], Loss: 0.1501
|
||||
Thu, 08 Sep 2022 14:19:18: Epoch [2/10], Step [8400/12534], Loss: 0.1336
|
||||
Thu, 08 Sep 2022 14:19:28: Epoch [2/10], Step [8600/12534], Loss: 0.1676
|
||||
Thu, 08 Sep 2022 14:19:39: Epoch [2/10], Step [8800/12534], Loss: 0.0935
|
||||
Thu, 08 Sep 2022 14:19:50: Epoch [2/10], Step [9000/12534], Loss: 0.0819
|
||||
Thu, 08 Sep 2022 14:20:00: Epoch [2/10], Step [9200/12534], Loss: 0.1612
|
||||
Thu, 08 Sep 2022 14:20:11: Epoch [2/10], Step [9400/12534], Loss: 0.1141
|
||||
Thu, 08 Sep 2022 14:20:22: Epoch [2/10], Step [9600/12534], Loss: 0.0992
|
||||
Thu, 08 Sep 2022 14:20:32: Epoch [2/10], Step [9800/12534], Loss: 0.0993
|
||||
Thu, 08 Sep 2022 14:20:43: Epoch [2/10], Step [10000/12534], Loss: 0.1951
|
||||
Thu, 08 Sep 2022 14:20:54: Epoch [2/10], Step [10200/12534], Loss: 0.1736
|
||||
Thu, 08 Sep 2022 14:21:04: Epoch [2/10], Step [10400/12534], Loss: 0.1917
|
||||
Thu, 08 Sep 2022 14:21:15: Epoch [2/10], Step [10600/12534], Loss: 0.1186
|
||||
Thu, 08 Sep 2022 14:21:26: Epoch [2/10], Step [10800/12534], Loss: 0.1059
|
||||
Thu, 08 Sep 2022 14:21:36: Epoch [2/10], Step [11000/12534], Loss: 0.1511
|
||||
Thu, 08 Sep 2022 14:21:47: Epoch [2/10], Step [11200/12534], Loss: 0.0826
|
||||
Thu, 08 Sep 2022 14:21:58: Epoch [2/10], Step [11400/12534], Loss: 0.1739
|
||||
Thu, 08 Sep 2022 14:22:08: Epoch [2/10], Step [11600/12534], Loss: 0.1665
|
||||
Thu, 08 Sep 2022 14:22:19: Epoch [2/10], Step [11800/12534], Loss: 0.1499
|
||||
Thu, 08 Sep 2022 14:22:30: Epoch [2/10], Step [12000/12534], Loss: 0.1777
|
||||
Thu, 08 Sep 2022 14:22:40: Epoch [2/10], Step [12200/12534], Loss: 0.1157
|
||||
Thu, 08 Sep 2022 14:22:51: Epoch [2/10], Step [12400/12534], Loss: 0.1078
|
||||
Thu, 08 Sep 2022 14:23:09: Epoch [3/10], Step [200/12534], Loss: 0.1258
|
||||
Thu, 08 Sep 2022 14:23:20: Epoch [3/10], Step [400/12534], Loss: 0.1843
|
||||
Thu, 08 Sep 2022 14:23:31: Epoch [3/10], Step [600/12534], Loss: 0.0719
|
||||
Thu, 08 Sep 2022 14:23:42: Epoch [3/10], Step [800/12534], Loss: 0.1221
|
||||
Thu, 08 Sep 2022 14:23:52: Epoch [3/10], Step [1000/12534], Loss: 0.1870
|
||||
Thu, 08 Sep 2022 14:24:03: Epoch [3/10], Step [1200/12534], Loss: 0.1433
|
||||
Thu, 08 Sep 2022 14:24:14: Epoch [3/10], Step [1400/12534], Loss: 0.1803
|
||||
Thu, 08 Sep 2022 14:24:25: Epoch [3/10], Step [1600/12534], Loss: 0.2120
|
||||
Thu, 08 Sep 2022 14:24:35: Epoch [3/10], Step [1800/12534], Loss: 0.1540
|
||||
Thu, 08 Sep 2022 14:24:46: Epoch [3/10], Step [2000/12534], Loss: 0.1846
|
||||
Thu, 08 Sep 2022 14:24:57: Epoch [3/10], Step [2200/12534], Loss: 0.1830
|
||||
Thu, 08 Sep 2022 14:25:08: Epoch [3/10], Step [2400/12534], Loss: 0.1068
|
||||
Thu, 08 Sep 2022 14:25:18: Epoch [3/10], Step [2600/12534], Loss: 0.1376
|
||||
Thu, 08 Sep 2022 14:25:29: Epoch [3/10], Step [2800/12534], Loss: 0.1370
|
||||
Thu, 08 Sep 2022 14:25:40: Epoch [3/10], Step [3000/12534], Loss: 0.1504
|
||||
Thu, 08 Sep 2022 14:25:50: Epoch [3/10], Step [3200/12534], Loss: 0.1011
|
||||
Thu, 08 Sep 2022 14:26:01: Epoch [3/10], Step [3400/12534], Loss: 0.1685
|
||||
Thu, 08 Sep 2022 14:26:12: Epoch [3/10], Step [3600/12534], Loss: 0.1781
|
||||
Thu, 08 Sep 2022 14:26:23: Epoch [3/10], Step [3800/12534], Loss: 0.1501
|
||||
Thu, 08 Sep 2022 14:26:33: Epoch [3/10], Step [4000/12534], Loss: 0.1715
|
||||
Thu, 08 Sep 2022 14:26:44: Epoch [3/10], Step [4200/12534], Loss: 0.1597
|
||||
Thu, 08 Sep 2022 14:26:55: Epoch [3/10], Step [4400/12534], Loss: 0.1710
|
||||
Thu, 08 Sep 2022 14:27:05: Epoch [3/10], Step [4600/12534], Loss: 0.1253
|
||||
Thu, 08 Sep 2022 14:27:16: Epoch [3/10], Step [4800/12534], Loss: 0.1526
|
||||
Thu, 08 Sep 2022 14:27:27: Epoch [3/10], Step [5000/12534], Loss: 0.2448
|
||||
Thu, 08 Sep 2022 14:27:38: Epoch [3/10], Step [5200/12534], Loss: 0.1495
|
||||
Thu, 08 Sep 2022 14:27:48: Epoch [3/10], Step [5400/12534], Loss: 0.2048
|
||||
Thu, 08 Sep 2022 14:27:59: Epoch [3/10], Step [5600/12534], Loss: 0.1441
|
||||
Thu, 08 Sep 2022 14:28:10: Epoch [3/10], Step [5800/12534], Loss: 0.1757
|
||||
Thu, 08 Sep 2022 14:28:20: Epoch [3/10], Step [6000/12534], Loss: 0.1314
|
||||
Thu, 08 Sep 2022 14:28:31: Epoch [3/10], Step [6200/12534], Loss: 0.0786
|
||||
Thu, 08 Sep 2022 14:28:42: Epoch [3/10], Step [6400/12534], Loss: 0.1882
|
||||
Thu, 08 Sep 2022 14:28:53: Epoch [3/10], Step [6600/12534], Loss: 0.1589
|
||||
Thu, 08 Sep 2022 14:29:03: Epoch [3/10], Step [6800/12534], Loss: 0.1671
|
||||
Thu, 08 Sep 2022 14:29:14: Epoch [3/10], Step [7000/12534], Loss: 0.1287
|
||||
Thu, 08 Sep 2022 14:29:25: Epoch [3/10], Step [7200/12534], Loss: 0.1206
|
||||
Thu, 08 Sep 2022 14:29:35: Epoch [3/10], Step [7400/12534], Loss: 0.1174
|
||||
Thu, 08 Sep 2022 14:29:46: Epoch [3/10], Step [7600/12534], Loss: 0.1233
|
||||
Thu, 08 Sep 2022 14:29:57: Epoch [3/10], Step [7800/12534], Loss: 0.1141
|
||||
Thu, 08 Sep 2022 14:30:07: Epoch [3/10], Step [8000/12534], Loss: 0.1517
|
||||
Thu, 08 Sep 2022 14:30:18: Epoch [3/10], Step [8200/12534], Loss: 0.1736
|
||||
Thu, 08 Sep 2022 14:30:29: Epoch [3/10], Step [8400/12534], Loss: 0.1497
|
||||
Thu, 08 Sep 2022 14:30:40: Epoch [3/10], Step [8600/12534], Loss: 0.1518
|
||||
Thu, 08 Sep 2022 14:30:50: Epoch [3/10], Step [8800/12534], Loss: 0.1509
|
||||
Thu, 08 Sep 2022 14:31:01: Epoch [3/10], Step [9000/12534], Loss: 0.0934
|
||||
Thu, 08 Sep 2022 14:31:12: Epoch [3/10], Step [9200/12534], Loss: 0.1560
|
||||
Thu, 08 Sep 2022 14:31:22: Epoch [3/10], Step [9400/12534], Loss: 0.1160
|
||||
Thu, 08 Sep 2022 14:31:33: Epoch [3/10], Step [9600/12534], Loss: 0.1588
|
||||
Thu, 08 Sep 2022 14:31:44: Epoch [3/10], Step [9800/12534], Loss: 0.1281
|
||||
Thu, 08 Sep 2022 14:31:54: Epoch [3/10], Step [10000/12534], Loss: 0.2074
|
||||
Thu, 08 Sep 2022 14:32:05: Epoch [3/10], Step [10200/12534], Loss: 0.1365
|
||||
Thu, 08 Sep 2022 14:32:16: Epoch [3/10], Step [10400/12534], Loss: 0.1521
|
||||
Thu, 08 Sep 2022 14:32:26: Epoch [3/10], Step [10600/12534], Loss: 0.1749
|
||||
Thu, 08 Sep 2022 14:32:37: Epoch [3/10], Step [10800/12534], Loss: 0.1487
|
||||
Thu, 08 Sep 2022 14:32:48: Epoch [3/10], Step [11000/12534], Loss: 0.2063
|
||||
Thu, 08 Sep 2022 14:32:58: Epoch [3/10], Step [11200/12534], Loss: 0.1510
|
||||
Thu, 08 Sep 2022 14:33:09: Epoch [3/10], Step [11400/12534], Loss: 0.1679
|
||||
Thu, 08 Sep 2022 14:33:20: Epoch [3/10], Step [11600/12534], Loss: 0.1685
|
||||
Thu, 08 Sep 2022 14:33:30: Epoch [3/10], Step [11800/12534], Loss: 0.1280
|
||||
Thu, 08 Sep 2022 14:33:41: Epoch [3/10], Step [12000/12534], Loss: 0.1960
|
||||
Thu, 08 Sep 2022 14:33:52: Epoch [3/10], Step [12200/12534], Loss: 0.1743
|
||||
Thu, 08 Sep 2022 14:34:02: Epoch [3/10], Step [12400/12534], Loss: 0.1151
|
||||
Thu, 08 Sep 2022 14:34:21: Epoch [4/10], Step [200/12534], Loss: 0.1080
|
||||
Thu, 08 Sep 2022 14:34:31: Epoch [4/10], Step [400/12534], Loss: 0.1309
|
||||
Thu, 08 Sep 2022 14:34:42: Epoch [4/10], Step [600/12534], Loss: 0.1272
|
||||
Thu, 08 Sep 2022 14:34:53: Epoch [4/10], Step [800/12534], Loss: 0.1399
|
||||
Thu, 08 Sep 2022 14:35:03: Epoch [4/10], Step [1000/12534], Loss: 0.1389
|
||||
Thu, 08 Sep 2022 14:35:14: Epoch [4/10], Step [1200/12534], Loss: 0.1538
|
||||
Thu, 08 Sep 2022 14:35:25: Epoch [4/10], Step [1400/12534], Loss: 0.0669
|
||||
Thu, 08 Sep 2022 14:35:35: Epoch [4/10], Step [1600/12534], Loss: 0.1320
|
||||
Thu, 08 Sep 2022 14:35:46: Epoch [4/10], Step [1800/12534], Loss: 0.1401
|
||||
Thu, 08 Sep 2022 14:35:57: Epoch [4/10], Step [2000/12534], Loss: 0.1650
|
||||
Thu, 08 Sep 2022 14:36:07: Epoch [4/10], Step [2200/12534], Loss: 0.1271
|
||||
Thu, 08 Sep 2022 14:36:18: Epoch [4/10], Step [2400/12534], Loss: 0.1614
|
||||
Thu, 08 Sep 2022 14:36:29: Epoch [4/10], Step [2600/12534], Loss: 0.1770
|
||||
Thu, 08 Sep 2022 14:36:39: Epoch [4/10], Step [2800/12534], Loss: 0.1904
|
||||
Thu, 08 Sep 2022 14:36:50: Epoch [4/10], Step [3000/12534], Loss: 0.1480
|
||||
Thu, 08 Sep 2022 14:37:01: Epoch [4/10], Step [3200/12534], Loss: 0.0916
|
||||
Thu, 08 Sep 2022 14:37:11: Epoch [4/10], Step [3400/12534], Loss: 0.1266
|
||||
Thu, 08 Sep 2022 14:37:22: Epoch [4/10], Step [3600/12534], Loss: 0.1764
|
||||
Thu, 08 Sep 2022 14:37:33: Epoch [4/10], Step [3800/12534], Loss: 0.1127
|
||||
Thu, 08 Sep 2022 14:37:43: Epoch [4/10], Step [4000/12534], Loss: 0.1170
|
||||
Thu, 08 Sep 2022 14:37:54: Epoch [4/10], Step [4200/12534], Loss: 0.2078
|
||||
Thu, 08 Sep 2022 14:38:05: Epoch [4/10], Step [4400/12534], Loss: 0.1042
|
||||
Thu, 08 Sep 2022 14:38:15: Epoch [4/10], Step [4600/12534], Loss: 0.1763
|
||||
Thu, 08 Sep 2022 14:38:26: Epoch [4/10], Step [4800/12534], Loss: 0.1699
|
||||
Thu, 08 Sep 2022 14:38:37: Epoch [4/10], Step [5000/12534], Loss: 0.1508
|
||||
Thu, 08 Sep 2022 14:38:47: Epoch [4/10], Step [5200/12534], Loss: 0.1677
|
||||
Thu, 08 Sep 2022 14:38:58: Epoch [4/10], Step [5400/12534], Loss: 0.1532
|
||||
Thu, 08 Sep 2022 14:39:09: Epoch [4/10], Step [5600/12534], Loss: 0.1145
|
||||
Thu, 08 Sep 2022 14:39:20: Epoch [4/10], Step [5800/12534], Loss: 0.1692
|
||||
Thu, 08 Sep 2022 14:39:30: Epoch [4/10], Step [6000/12534], Loss: 0.1395
|
||||
Thu, 08 Sep 2022 14:39:41: Epoch [4/10], Step [6200/12534], Loss: 0.1872
|
||||
Thu, 08 Sep 2022 14:39:52: Epoch [4/10], Step [6400/12534], Loss: 0.1853
|
||||
Thu, 08 Sep 2022 14:40:02: Epoch [4/10], Step [6600/12534], Loss: 0.1790
|
||||
Thu, 08 Sep 2022 14:40:13: Epoch [4/10], Step [6800/12534], Loss: 0.1159
|
||||
Thu, 08 Sep 2022 14:40:24: Epoch [4/10], Step [7000/12534], Loss: 0.1564
|
||||
Thu, 08 Sep 2022 14:40:34: Epoch [4/10], Step [7200/12534], Loss: 0.2116
|
||||
Thu, 08 Sep 2022 14:40:45: Epoch [4/10], Step [7400/12534], Loss: 0.1708
|
||||
Thu, 08 Sep 2022 14:40:56: Epoch [4/10], Step [7600/12534], Loss: 0.1398
|
||||
Thu, 08 Sep 2022 14:41:06: Epoch [4/10], Step [7800/12534], Loss: 0.1250
|
||||
Thu, 08 Sep 2022 14:41:17: Epoch [4/10], Step [8000/12534], Loss: 0.1705
|
||||
Thu, 08 Sep 2022 14:41:28: Epoch [4/10], Step [8200/12534], Loss: 0.1592
|
||||
Thu, 08 Sep 2022 14:41:39: Epoch [4/10], Step [8400/12534], Loss: 0.1842
|
||||
Thu, 08 Sep 2022 14:41:49: Epoch [4/10], Step [8600/12534], Loss: 0.2067
|
||||
Thu, 08 Sep 2022 14:42:00: Epoch [4/10], Step [8800/12534], Loss: 0.1307
|
||||
Thu, 08 Sep 2022 14:42:11: Epoch [4/10], Step [9000/12534], Loss: 0.0951
|
||||
Thu, 08 Sep 2022 14:42:22: Epoch [4/10], Step [9200/12534], Loss: 0.0999
|
||||
Thu, 08 Sep 2022 14:42:32: Epoch [4/10], Step [9400/12534], Loss: 0.1413
|
||||
Thu, 08 Sep 2022 14:42:43: Epoch [4/10], Step [9600/12534], Loss: 0.1295
|
||||
Thu, 08 Sep 2022 14:42:54: Epoch [4/10], Step [9800/12534], Loss: 0.1229
|
||||
Thu, 08 Sep 2022 14:43:05: Epoch [4/10], Step [10000/12534], Loss: 0.1353
|
||||
Thu, 08 Sep 2022 14:43:15: Epoch [4/10], Step [10200/12534], Loss: 0.1540
|
||||
Thu, 08 Sep 2022 14:43:26: Epoch [4/10], Step [10400/12534], Loss: 0.0701
|
||||
Thu, 08 Sep 2022 14:43:37: Epoch [4/10], Step [10600/12534], Loss: 0.1552
|
||||
Thu, 08 Sep 2022 14:43:48: Epoch [4/10], Step [10800/12534], Loss: 0.1870
|
||||
Thu, 08 Sep 2022 14:43:58: Epoch [4/10], Step [11000/12534], Loss: 0.1756
|
||||
Thu, 08 Sep 2022 14:44:09: Epoch [4/10], Step [11200/12534], Loss: 0.1501
|
||||
Thu, 08 Sep 2022 14:44:20: Epoch [4/10], Step [11400/12534], Loss: 0.1428
|
||||
Thu, 08 Sep 2022 14:44:31: Epoch [4/10], Step [11600/12534], Loss: 0.1483
|
||||
Thu, 08 Sep 2022 14:44:41: Epoch [4/10], Step [11800/12534], Loss: 0.1763
|
||||
Thu, 08 Sep 2022 14:44:52: Epoch [4/10], Step [12000/12534], Loss: 0.2263
|
||||
Thu, 08 Sep 2022 14:45:03: Epoch [4/10], Step [12200/12534], Loss: 0.1538
|
||||
Thu, 08 Sep 2022 14:45:14: Epoch [4/10], Step [12400/12534], Loss: 0.0984
|
||||
Thu, 08 Sep 2022 14:45:32: Epoch [5/10], Step [200/12534], Loss: 0.1346
|
||||
Thu, 08 Sep 2022 14:45:43: Epoch [5/10], Step [400/12534], Loss: 0.1466
|
||||
Thu, 08 Sep 2022 14:45:54: Epoch [5/10], Step [600/12534], Loss: 0.1108
|
||||
Thu, 08 Sep 2022 14:46:04: Epoch [5/10], Step [800/12534], Loss: 0.1311
|
||||
Thu, 08 Sep 2022 14:46:15: Epoch [5/10], Step [1000/12534], Loss: 0.1313
|
||||
Thu, 08 Sep 2022 14:46:26: Epoch [5/10], Step [1200/12534], Loss: 0.1864
|
||||
Thu, 08 Sep 2022 14:46:37: Epoch [5/10], Step [1400/12534], Loss: 0.1174
|
||||
Thu, 08 Sep 2022 14:46:47: Epoch [5/10], Step [1600/12534], Loss: 0.1534
|
||||
Thu, 08 Sep 2022 14:46:58: Epoch [5/10], Step [1800/12534], Loss: 0.1821
|
||||
Thu, 08 Sep 2022 14:47:09: Epoch [5/10], Step [2000/12534], Loss: 0.1757
|
||||
Thu, 08 Sep 2022 14:47:20: Epoch [5/10], Step [2200/12534], Loss: 0.1468
|
||||
Thu, 08 Sep 2022 14:47:30: Epoch [5/10], Step [2400/12534], Loss: 0.1768
|
||||
Thu, 08 Sep 2022 14:47:41: Epoch [5/10], Step [2600/12534], Loss: 0.1421
|
||||
Thu, 08 Sep 2022 14:47:52: Epoch [5/10], Step [2800/12534], Loss: 0.1522
|
||||
Thu, 08 Sep 2022 14:48:03: Epoch [5/10], Step [3000/12534], Loss: 0.1632
|
||||
Thu, 08 Sep 2022 14:48:14: Epoch [5/10], Step [3200/12534], Loss: 0.1818
|
||||
Thu, 08 Sep 2022 14:48:25: Epoch [5/10], Step [3400/12534], Loss: 0.1198
|
||||
Thu, 08 Sep 2022 14:48:36: Epoch [5/10], Step [3600/12534], Loss: 0.0800
|
||||
Thu, 08 Sep 2022 14:48:46: Epoch [5/10], Step [3800/12534], Loss: 0.2242
|
||||
Thu, 08 Sep 2022 14:48:57: Epoch [5/10], Step [4000/12534], Loss: 0.2032
|
||||
Thu, 08 Sep 2022 14:49:08: Epoch [5/10], Step [4200/12534], Loss: 0.1305
|
||||
Thu, 08 Sep 2022 14:49:19: Epoch [5/10], Step [4400/12534], Loss: 0.1381
|
||||
Thu, 08 Sep 2022 14:49:30: Epoch [5/10], Step [4600/12534], Loss: 0.1544
|
||||
Thu, 08 Sep 2022 14:49:41: Epoch [5/10], Step [4800/12534], Loss: 0.1483
|
||||
Thu, 08 Sep 2022 14:49:52: Epoch [5/10], Step [5000/12534], Loss: 0.1217
|
||||
Thu, 08 Sep 2022 14:50:02: Epoch [5/10], Step [5200/12534], Loss: 0.1352
|
||||
Thu, 08 Sep 2022 14:50:13: Epoch [5/10], Step [5400/12534], Loss: 0.1733
|
||||
Thu, 08 Sep 2022 14:50:24: Epoch [5/10], Step [5600/12534], Loss: 0.1684
|
||||
Thu, 08 Sep 2022 14:50:35: Epoch [5/10], Step [5800/12534], Loss: 0.1362
|
||||
Thu, 08 Sep 2022 14:50:46: Epoch [5/10], Step [6000/12534], Loss: 0.2416
|
||||
Thu, 08 Sep 2022 14:50:57: Epoch [5/10], Step [6200/12534], Loss: 0.1791
|
||||
Thu, 08 Sep 2022 14:51:08: Epoch [5/10], Step [6400/12534], Loss: 0.2147
|
||||
Thu, 08 Sep 2022 14:51:18: Epoch [5/10], Step [6600/12534], Loss: 0.1187
|
||||
Thu, 08 Sep 2022 14:51:29: Epoch [5/10], Step [6800/12534], Loss: 0.1471
|
||||
Thu, 08 Sep 2022 14:51:40: Epoch [5/10], Step [7000/12534], Loss: 0.1431
|
||||
Thu, 08 Sep 2022 14:51:51: Epoch [5/10], Step [7200/12534], Loss: 0.1337
|
||||
Thu, 08 Sep 2022 14:52:02: Epoch [5/10], Step [7400/12534], Loss: 0.0932
|
||||
Thu, 08 Sep 2022 14:52:13: Epoch [5/10], Step [7600/12534], Loss: 0.2093
|
||||
Thu, 08 Sep 2022 14:52:23: Epoch [5/10], Step [7800/12534], Loss: 0.1507
|
||||
Thu, 08 Sep 2022 14:52:34: Epoch [5/10], Step [8000/12534], Loss: 0.1449
|
||||
Thu, 08 Sep 2022 14:52:45: Epoch [5/10], Step [8200/12534], Loss: 0.1127
|
||||
Thu, 08 Sep 2022 14:52:56: Epoch [5/10], Step [8400/12534], Loss: 0.1643
|
||||
Thu, 08 Sep 2022 14:53:07: Epoch [5/10], Step [8600/12534], Loss: 0.1319
|
||||
Thu, 08 Sep 2022 14:53:17: Epoch [5/10], Step [8800/12534], Loss: 0.1798
|
||||
Thu, 08 Sep 2022 14:53:28: Epoch [5/10], Step [9000/12534], Loss: 0.1607
|
||||
Thu, 08 Sep 2022 14:53:39: Epoch [5/10], Step [9200/12534], Loss: 0.1400
|
||||
Thu, 08 Sep 2022 14:53:49: Epoch [5/10], Step [9400/12534], Loss: 0.1696
|
||||
Thu, 08 Sep 2022 14:54:00: Epoch [5/10], Step [9600/12534], Loss: 0.2088
|
||||
Thu, 08 Sep 2022 14:54:11: Epoch [5/10], Step [9800/12534], Loss: 0.1597
|
||||
Thu, 08 Sep 2022 14:54:21: Epoch [5/10], Step [10000/12534], Loss: 0.1266
|
||||
Thu, 08 Sep 2022 14:54:32: Epoch [5/10], Step [10200/12534], Loss: 0.1648
|
||||
Thu, 08 Sep 2022 14:54:43: Epoch [5/10], Step [10400/12534], Loss: 0.1535
|
||||
Thu, 08 Sep 2022 14:54:53: Epoch [5/10], Step [10600/12534], Loss: 0.1225
|
||||
Thu, 08 Sep 2022 14:55:04: Epoch [5/10], Step [10800/12534], Loss: 0.1865
|
||||
Thu, 08 Sep 2022 14:55:15: Epoch [5/10], Step [11000/12534], Loss: 0.1484
|
||||
Thu, 08 Sep 2022 14:55:25: Epoch [5/10], Step [11200/12534], Loss: 0.1840
|
||||
Thu, 08 Sep 2022 14:55:36: Epoch [5/10], Step [11400/12534], Loss: 0.1609
|
||||
Thu, 08 Sep 2022 14:55:47: Epoch [5/10], Step [11600/12534], Loss: 0.1474
|
||||
Thu, 08 Sep 2022 14:55:57: Epoch [5/10], Step [11800/12534], Loss: 0.1129
|
||||
Thu, 08 Sep 2022 14:56:08: Epoch [5/10], Step [12000/12534], Loss: 0.1798
|
||||
Thu, 08 Sep 2022 14:56:19: Epoch [5/10], Step [12200/12534], Loss: 0.1192
|
||||
Thu, 08 Sep 2022 14:56:30: Epoch [5/10], Step [12400/12534], Loss: 0.1605
|
||||
Thu, 08 Sep 2022 14:56:48: Epoch [6/10], Step [200/12534], Loss: 0.1278
|
||||
Thu, 08 Sep 2022 14:56:59: Epoch [6/10], Step [400/12534], Loss: 0.1312
|
||||
Thu, 08 Sep 2022 14:57:10: Epoch [6/10], Step [600/12534], Loss: 0.0660
|
||||
Thu, 08 Sep 2022 14:57:20: Epoch [6/10], Step [800/12534], Loss: 0.1481
|
||||
Thu, 08 Sep 2022 14:57:31: Epoch [6/10], Step [1000/12534], Loss: 0.1447
|
||||
Thu, 08 Sep 2022 14:57:42: Epoch [6/10], Step [1200/12534], Loss: 0.1558
|
||||
Thu, 08 Sep 2022 14:57:53: Epoch [6/10], Step [1400/12534], Loss: 0.1366
|
||||
Thu, 08 Sep 2022 14:58:03: Epoch [6/10], Step [1600/12534], Loss: 0.1265
|
||||
Thu, 08 Sep 2022 14:58:14: Epoch [6/10], Step [1800/12534], Loss: 0.1416
|
||||
Thu, 08 Sep 2022 14:58:25: Epoch [6/10], Step [2000/12534], Loss: 0.1881
|
||||
Thu, 08 Sep 2022 14:58:36: Epoch [6/10], Step [2200/12534], Loss: 0.1662
|
||||
Thu, 08 Sep 2022 14:58:46: Epoch [6/10], Step [2400/12534], Loss: 0.1672
|
||||
Thu, 08 Sep 2022 14:58:57: Epoch [6/10], Step [2600/12534], Loss: 0.1585
|
||||
Thu, 08 Sep 2022 14:59:08: Epoch [6/10], Step [2800/12534], Loss: 0.1754
|
||||
Thu, 08 Sep 2022 14:59:19: Epoch [6/10], Step [3000/12534], Loss: 0.1639
|
||||
Thu, 08 Sep 2022 14:59:30: Epoch [6/10], Step [3200/12534], Loss: 0.1527
|
||||
Thu, 08 Sep 2022 14:59:40: Epoch [6/10], Step [3400/12534], Loss: 0.2566
|
||||
Thu, 08 Sep 2022 14:59:51: Epoch [6/10], Step [3600/12534], Loss: 0.1874
|
||||
Thu, 08 Sep 2022 15:00:02: Epoch [6/10], Step [3800/12534], Loss: 0.1454
|
||||
Thu, 08 Sep 2022 15:00:13: Epoch [6/10], Step [4000/12534], Loss: 0.1310
|
||||
Thu, 08 Sep 2022 15:00:23: Epoch [6/10], Step [4200/12534], Loss: 0.1546
|
||||
Thu, 08 Sep 2022 15:00:34: Epoch [6/10], Step [4400/12534], Loss: 0.0791
|
||||
Thu, 08 Sep 2022 15:00:45: Epoch [6/10], Step [4600/12534], Loss: 0.1406
|
||||
Thu, 08 Sep 2022 15:00:56: Epoch [6/10], Step [4800/12534], Loss: 0.1315
|
||||
Thu, 08 Sep 2022 15:01:07: Epoch [6/10], Step [5000/12534], Loss: 0.1466
|
||||
Thu, 08 Sep 2022 15:01:17: Epoch [6/10], Step [5200/12534], Loss: 0.1444
|
||||
Thu, 08 Sep 2022 15:01:28: Epoch [6/10], Step [5400/12534], Loss: 0.1244
|
||||
Thu, 08 Sep 2022 15:01:39: Epoch [6/10], Step [5600/12534], Loss: 0.1222
|
||||
Thu, 08 Sep 2022 15:01:50: Epoch [6/10], Step [5800/12534], Loss: 0.1541
|
||||
Thu, 08 Sep 2022 15:02:00: Epoch [6/10], Step [6000/12534], Loss: 0.1128
|
||||
Thu, 08 Sep 2022 15:02:11: Epoch [6/10], Step [6200/12534], Loss: 0.1268
|
||||
Thu, 08 Sep 2022 15:02:22: Epoch [6/10], Step [6400/12534], Loss: 0.1203
|
||||
Thu, 08 Sep 2022 15:02:33: Epoch [6/10], Step [6600/12534], Loss: 0.2153
|
||||
Thu, 08 Sep 2022 15:02:43: Epoch [6/10], Step [6800/12534], Loss: 0.1375
|
||||
Thu, 08 Sep 2022 15:02:54: Epoch [6/10], Step [7000/12534], Loss: 0.1286
|
||||
Thu, 08 Sep 2022 15:03:05: Epoch [6/10], Step [7200/12534], Loss: 0.1599
|
||||
Thu, 08 Sep 2022 15:03:16: Epoch [6/10], Step [7400/12534], Loss: 0.0781
|
||||
Thu, 08 Sep 2022 15:03:27: Epoch [6/10], Step [7600/12534], Loss: 0.1818
|
||||
Thu, 08 Sep 2022 15:03:37: Epoch [6/10], Step [7800/12534], Loss: 0.1327
|
||||
Thu, 08 Sep 2022 15:03:48: Epoch [6/10], Step [8000/12534], Loss: 0.1687
|
||||
Thu, 08 Sep 2022 15:03:59: Epoch [6/10], Step [8200/12534], Loss: 0.2140
|
||||
Thu, 08 Sep 2022 15:04:10: Epoch [6/10], Step [8400/12534], Loss: 0.1656
|
||||
Thu, 08 Sep 2022 15:04:20: Epoch [6/10], Step [8600/12534], Loss: 0.1450
|
||||
Thu, 08 Sep 2022 15:04:31: Epoch [6/10], Step [8800/12534], Loss: 0.1236
|
||||
Thu, 08 Sep 2022 15:04:42: Epoch [6/10], Step [9000/12534], Loss: 0.1750
|
||||
Thu, 08 Sep 2022 15:04:53: Epoch [6/10], Step [9200/12534], Loss: 0.1383
|
||||
Thu, 08 Sep 2022 15:05:04: Epoch [6/10], Step [9400/12534], Loss: 0.1848
|
||||
Thu, 08 Sep 2022 15:05:14: Epoch [6/10], Step [9600/12534], Loss: 0.0658
|
||||
Thu, 08 Sep 2022 15:05:25: Epoch [6/10], Step [9800/12534], Loss: 0.1158
|
||||
Thu, 08 Sep 2022 15:05:36: Epoch [6/10], Step [10000/12534], Loss: 0.1539
|
||||
Thu, 08 Sep 2022 15:05:47: Epoch [6/10], Step [10200/12534], Loss: 0.1318
|
||||
Thu, 08 Sep 2022 15:05:57: Epoch [6/10], Step [10400/12534], Loss: 0.0969
|
||||
Thu, 08 Sep 2022 15:06:08: Epoch [6/10], Step [10600/12534], Loss: 0.1635
|
||||
Thu, 08 Sep 2022 15:06:19: Epoch [6/10], Step [10800/12534], Loss: 0.1812
|
||||
Thu, 08 Sep 2022 15:06:30: Epoch [6/10], Step [11000/12534], Loss: 0.1573
|
||||
Thu, 08 Sep 2022 15:06:40: Epoch [6/10], Step [11200/12534], Loss: 0.1410
|
||||
Thu, 08 Sep 2022 15:06:51: Epoch [6/10], Step [11400/12534], Loss: 0.1320
|
||||
Thu, 08 Sep 2022 15:07:02: Epoch [6/10], Step [11600/12534], Loss: 0.1443
|
||||
Thu, 08 Sep 2022 15:07:13: Epoch [6/10], Step [11800/12534], Loss: 0.1339
|
||||
Thu, 08 Sep 2022 15:07:24: Epoch [6/10], Step [12000/12534], Loss: 0.0953
|
||||
Thu, 08 Sep 2022 15:07:34: Epoch [6/10], Step [12200/12534], Loss: 0.1997
|
||||
Thu, 08 Sep 2022 15:07:45: Epoch [6/10], Step [12400/12534], Loss: 0.1881
|
||||
Thu, 08 Sep 2022 15:08:03: Epoch [7/10], Step [200/12534], Loss: 0.2067
|
||||
Thu, 08 Sep 2022 15:08:14: Epoch [7/10], Step [400/12534], Loss: 0.1380
|
||||
Thu, 08 Sep 2022 15:08:25: Epoch [7/10], Step [600/12534], Loss: 0.1122
|
||||
Thu, 08 Sep 2022 15:08:36: Epoch [7/10], Step [800/12534], Loss: 0.2318
|
||||
Thu, 08 Sep 2022 15:08:46: Epoch [7/10], Step [1000/12534], Loss: 0.1403
|
||||
Thu, 08 Sep 2022 15:08:57: Epoch [7/10], Step [1200/12534], Loss: 0.1439
|
||||
Thu, 08 Sep 2022 15:09:08: Epoch [7/10], Step [1400/12534], Loss: 0.1328
|
||||
Thu, 08 Sep 2022 15:09:19: Epoch [7/10], Step [1600/12534], Loss: 0.1721
|
||||
Thu, 08 Sep 2022 15:09:29: Epoch [7/10], Step [1800/12534], Loss: 0.1826
|
||||
Thu, 08 Sep 2022 15:09:40: Epoch [7/10], Step [2000/12534], Loss: 0.2030
|
||||
Thu, 08 Sep 2022 15:09:51: Epoch [7/10], Step [2200/12534], Loss: 0.1229
|
||||
Thu, 08 Sep 2022 15:10:02: Epoch [7/10], Step [2400/12534], Loss: 0.1120
|
||||
Thu, 08 Sep 2022 15:10:13: Epoch [7/10], Step [2600/12534], Loss: 0.1558
|
||||
Thu, 08 Sep 2022 15:10:23: Epoch [7/10], Step [2800/12534], Loss: 0.0856
|
||||
Thu, 08 Sep 2022 15:10:34: Epoch [7/10], Step [3000/12534], Loss: 0.1370
|
||||
Thu, 08 Sep 2022 15:10:45: Epoch [7/10], Step [3200/12534], Loss: 0.1560
|
||||
Thu, 08 Sep 2022 15:10:56: Epoch [7/10], Step [3400/12534], Loss: 0.1271
|
||||
Thu, 08 Sep 2022 15:11:06: Epoch [7/10], Step [3600/12534], Loss: 0.1563
|
||||
Thu, 08 Sep 2022 15:11:17: Epoch [7/10], Step [3800/12534], Loss: 0.1305
|
||||
Thu, 08 Sep 2022 15:11:28: Epoch [7/10], Step [4000/12534], Loss: 0.0926
|
||||
Thu, 08 Sep 2022 15:11:39: Epoch [7/10], Step [4200/12534], Loss: 0.2216
|
||||
Thu, 08 Sep 2022 15:11:49: Epoch [7/10], Step [4400/12534], Loss: 0.2099
|
||||
Thu, 08 Sep 2022 15:12:00: Epoch [7/10], Step [4600/12534], Loss: 0.0886
|
||||
Thu, 08 Sep 2022 15:12:11: Epoch [7/10], Step [4800/12534], Loss: 0.1522
|
||||
Thu, 08 Sep 2022 15:12:22: Epoch [7/10], Step [5000/12534], Loss: 0.1847
|
||||
Thu, 08 Sep 2022 15:12:32: Epoch [7/10], Step [5200/12534], Loss: 0.1318
|
||||
Thu, 08 Sep 2022 15:12:43: Epoch [7/10], Step [5400/12534], Loss: 0.1770
|
||||
Thu, 08 Sep 2022 15:12:54: Epoch [7/10], Step [5600/12534], Loss: 0.1603
|
||||
Thu, 08 Sep 2022 15:13:05: Epoch [7/10], Step [5800/12534], Loss: 0.1257
|
||||
Thu, 08 Sep 2022 15:13:16: Epoch [7/10], Step [6000/12534], Loss: 0.1531
|
||||
Thu, 08 Sep 2022 15:13:26: Epoch [7/10], Step [6200/12534], Loss: 0.1337
|
||||
Thu, 08 Sep 2022 15:13:37: Epoch [7/10], Step [6400/12534], Loss: 0.1392
|
||||
Thu, 08 Sep 2022 15:13:48: Epoch [7/10], Step [6600/12534], Loss: 0.1678
|
||||
Thu, 08 Sep 2022 15:13:59: Epoch [7/10], Step [6800/12534], Loss: 0.1194
|
||||
Thu, 08 Sep 2022 15:14:09: Epoch [7/10], Step [7000/12534], Loss: 0.2050
|
||||
Thu, 08 Sep 2022 15:14:20: Epoch [7/10], Step [7200/12534], Loss: 0.1674
|
||||
Thu, 08 Sep 2022 15:14:31: Epoch [7/10], Step [7400/12534], Loss: 0.1467
|
||||
Thu, 08 Sep 2022 15:14:42: Epoch [7/10], Step [7600/12534], Loss: 0.2074
|
||||
Thu, 08 Sep 2022 15:14:53: Epoch [7/10], Step [7800/12534], Loss: 0.1185
|
||||
Thu, 08 Sep 2022 15:15:03: Epoch [7/10], Step [8000/12534], Loss: 0.1771
|
||||
Thu, 08 Sep 2022 15:15:14: Epoch [7/10], Step [8200/12534], Loss: 0.1414
|
||||
Thu, 08 Sep 2022 15:15:25: Epoch [7/10], Step [8400/12534], Loss: 0.1702
|
||||
Thu, 08 Sep 2022 15:15:36: Epoch [7/10], Step [8600/12534], Loss: 0.1622
|
||||
Thu, 08 Sep 2022 15:15:46: Epoch [7/10], Step [8800/12534], Loss: 0.1125
|
||||
Thu, 08 Sep 2022 15:15:57: Epoch [7/10], Step [9000/12534], Loss: 0.1383
|
||||
Thu, 08 Sep 2022 15:16:08: Epoch [7/10], Step [9200/12534], Loss: 0.1332
|
||||
Thu, 08 Sep 2022 15:16:19: Epoch [7/10], Step [9400/12534], Loss: 0.1869
|
||||
Thu, 08 Sep 2022 15:16:30: Epoch [7/10], Step [9600/12534], Loss: 0.1249
|
||||
Thu, 08 Sep 2022 15:16:40: Epoch [7/10], Step [9800/12534], Loss: 0.1240
|
||||
Thu, 08 Sep 2022 15:16:51: Epoch [7/10], Step [10000/12534], Loss: 0.1456
|
||||
Thu, 08 Sep 2022 15:17:02: Epoch [7/10], Step [10200/12534], Loss: 0.1240
|
||||
Thu, 08 Sep 2022 15:17:13: Epoch [7/10], Step [10400/12534], Loss: 0.1965
|
||||
Thu, 08 Sep 2022 15:17:23: Epoch [7/10], Step [10600/12534], Loss: 0.1100
|
||||
Thu, 08 Sep 2022 15:17:34: Epoch [7/10], Step [10800/12534], Loss: 0.1705
|
||||
Thu, 08 Sep 2022 15:17:45: Epoch [7/10], Step [11000/12534], Loss: 0.1804
|
||||
Thu, 08 Sep 2022 15:17:56: Epoch [7/10], Step [11200/12534], Loss: 0.1043
|
||||
Thu, 08 Sep 2022 15:18:06: Epoch [7/10], Step [11400/12534], Loss: 0.2180
|
||||
Thu, 08 Sep 2022 15:18:17: Epoch [7/10], Step [11600/12534], Loss: 0.1460
|
||||
Thu, 08 Sep 2022 15:18:28: Epoch [7/10], Step [11800/12534], Loss: 0.1499
|
||||
Thu, 08 Sep 2022 15:18:39: Epoch [7/10], Step [12000/12534], Loss: 0.1643
|
||||
Thu, 08 Sep 2022 15:18:50: Epoch [7/10], Step [12200/12534], Loss: 0.1179
|
||||
Thu, 08 Sep 2022 15:19:00: Epoch [7/10], Step [12400/12534], Loss: 0.1581
|
||||
Thu, 08 Sep 2022 15:19:18: Epoch [8/10], Step [200/12534], Loss: 0.1374
|
||||
Thu, 08 Sep 2022 15:19:29: Epoch [8/10], Step [400/12534], Loss: 0.1502
|
||||
Thu, 08 Sep 2022 15:19:40: Epoch [8/10], Step [600/12534], Loss: 0.1570
|
||||
Thu, 08 Sep 2022 15:19:51: Epoch [8/10], Step [800/12534], Loss: 0.1322
|
||||
Thu, 08 Sep 2022 15:20:02: Epoch [8/10], Step [1000/12534], Loss: 0.1364
|
||||
Thu, 08 Sep 2022 15:20:12: Epoch [8/10], Step [1200/12534], Loss: 0.1345
|
||||
Thu, 08 Sep 2022 15:20:23: Epoch [8/10], Step [1400/12534], Loss: 0.1164
|
||||
Thu, 08 Sep 2022 15:20:34: Epoch [8/10], Step [1600/12534], Loss: 0.1688
|
||||
Thu, 08 Sep 2022 15:20:45: Epoch [8/10], Step [1800/12534], Loss: 0.1858
|
||||
Thu, 08 Sep 2022 15:20:55: Epoch [8/10], Step [2000/12534], Loss: 0.1226
|
||||
Thu, 08 Sep 2022 15:21:06: Epoch [8/10], Step [2200/12534], Loss: 0.0940
|
||||
Thu, 08 Sep 2022 15:21:17: Epoch [8/10], Step [2400/12534], Loss: 0.1450
|
||||
Thu, 08 Sep 2022 15:21:28: Epoch [8/10], Step [2600/12534], Loss: 0.2450
|
||||
Thu, 08 Sep 2022 15:21:39: Epoch [8/10], Step [2800/12534], Loss: 0.1718
|
||||
Thu, 08 Sep 2022 15:21:49: Epoch [8/10], Step [3000/12534], Loss: 0.1924
|
||||
Thu, 08 Sep 2022 15:22:00: Epoch [8/10], Step [3200/12534], Loss: 0.1763
|
||||
Thu, 08 Sep 2022 15:22:11: Epoch [8/10], Step [3400/12534], Loss: 0.0892
|
||||
Thu, 08 Sep 2022 15:22:22: Epoch [8/10], Step [3600/12534], Loss: 0.1468
|
||||
Thu, 08 Sep 2022 15:22:32: Epoch [8/10], Step [3800/12534], Loss: 0.1933
|
||||
Thu, 08 Sep 2022 15:22:43: Epoch [8/10], Step [4000/12534], Loss: 0.1798
|
||||
Thu, 08 Sep 2022 15:22:54: Epoch [8/10], Step [4200/12534], Loss: 0.1611
|
||||
Thu, 08 Sep 2022 15:23:05: Epoch [8/10], Step [4400/12534], Loss: 0.1641
|
||||
Thu, 08 Sep 2022 15:23:15: Epoch [8/10], Step [4600/12534], Loss: 0.1518
|
||||
Thu, 08 Sep 2022 15:23:26: Epoch [8/10], Step [4800/12534], Loss: 0.1309
|
||||
Thu, 08 Sep 2022 15:23:37: Epoch [8/10], Step [5000/12534], Loss: 0.1968
|
||||
Thu, 08 Sep 2022 15:23:48: Epoch [8/10], Step [5200/12534], Loss: 0.1136
|
||||
Thu, 08 Sep 2022 15:23:59: Epoch [8/10], Step [5400/12534], Loss: 0.1907
|
||||
Thu, 08 Sep 2022 15:24:10: Epoch [8/10], Step [5600/12534], Loss: 0.2038
|
||||
Thu, 08 Sep 2022 15:24:20: Epoch [8/10], Step [5800/12534], Loss: 0.1250
|
||||
Thu, 08 Sep 2022 15:24:31: Epoch [8/10], Step [6000/12534], Loss: 0.1611
|
||||
Thu, 08 Sep 2022 15:24:42: Epoch [8/10], Step [6200/12534], Loss: 0.1058
|
||||
Thu, 08 Sep 2022 15:24:53: Epoch [8/10], Step [6400/12534], Loss: 0.1291
|
||||
Thu, 08 Sep 2022 15:25:04: Epoch [8/10], Step [6600/12534], Loss: 0.1398
|
||||
Thu, 08 Sep 2022 15:25:14: Epoch [8/10], Step [6800/12534], Loss: 0.1932
|
||||
Thu, 08 Sep 2022 15:25:25: Epoch [8/10], Step [7000/12534], Loss: 0.2015
|
||||
Thu, 08 Sep 2022 15:25:36: Epoch [8/10], Step [7200/12534], Loss: 0.1901
|
||||
Thu, 08 Sep 2022 15:25:47: Epoch [8/10], Step [7400/12534], Loss: 0.1777
|
||||
Thu, 08 Sep 2022 15:25:57: Epoch [8/10], Step [7600/12534], Loss: 0.1957
|
||||
Thu, 08 Sep 2022 15:26:08: Epoch [8/10], Step [7800/12534], Loss: 0.1379
|
||||
Thu, 08 Sep 2022 15:26:19: Epoch [8/10], Step [8000/12534], Loss: 0.1708
|
||||
Thu, 08 Sep 2022 15:26:30: Epoch [8/10], Step [8200/12534], Loss: 0.2236
|
||||
Thu, 08 Sep 2022 15:26:40: Epoch [8/10], Step [8400/12534], Loss: 0.2125
|
||||
Thu, 08 Sep 2022 15:26:51: Epoch [8/10], Step [8600/12534], Loss: 0.1268
|
||||
Thu, 08 Sep 2022 15:27:02: Epoch [8/10], Step [8800/12534], Loss: 0.1002
|
||||
Thu, 08 Sep 2022 15:27:13: Epoch [8/10], Step [9000/12534], Loss: 0.1370
|
||||
Thu, 08 Sep 2022 15:27:24: Epoch [8/10], Step [9200/12534], Loss: 0.1289
|
||||
Thu, 08 Sep 2022 15:27:34: Epoch [8/10], Step [9400/12534], Loss: 0.1429
|
||||
Thu, 08 Sep 2022 15:27:45: Epoch [8/10], Step [9600/12534], Loss: 0.0916
|
||||
Thu, 08 Sep 2022 15:27:56: Epoch [8/10], Step [9800/12534], Loss: 0.1966
|
||||
Thu, 08 Sep 2022 15:28:07: Epoch [8/10], Step [10000/12534], Loss: 0.1223
|
||||
Thu, 08 Sep 2022 15:28:17: Epoch [8/10], Step [10200/12534], Loss: 0.1111
|
||||
Thu, 08 Sep 2022 15:28:28: Epoch [8/10], Step [10400/12534], Loss: 0.1104
|
||||
Thu, 08 Sep 2022 15:28:39: Epoch [8/10], Step [10600/12534], Loss: 0.0763
|
||||
Thu, 08 Sep 2022 15:28:50: Epoch [8/10], Step [10800/12534], Loss: 0.1968
|
||||
Thu, 08 Sep 2022 15:29:00: Epoch [8/10], Step [11000/12534], Loss: 0.1414
|
||||
Thu, 08 Sep 2022 15:29:11: Epoch [8/10], Step [11200/12534], Loss: 0.1863
|
||||
Thu, 08 Sep 2022 15:29:22: Epoch [8/10], Step [11400/12534], Loss: 0.1592
|
||||
Thu, 08 Sep 2022 15:29:33: Epoch [8/10], Step [11600/12534], Loss: 0.1357
|
||||
Thu, 08 Sep 2022 15:29:44: Epoch [8/10], Step [11800/12534], Loss: 0.1665
|
||||
Thu, 08 Sep 2022 15:29:54: Epoch [8/10], Step [12000/12534], Loss: 0.1440
|
||||
Thu, 08 Sep 2022 15:30:05: Epoch [8/10], Step [12200/12534], Loss: 0.1578
|
||||
Thu, 08 Sep 2022 15:30:16: Epoch [8/10], Step [12400/12534], Loss: 0.1397
|
||||
Thu, 08 Sep 2022 15:30:34: Epoch [9/10], Step [200/12534], Loss: 0.1258
|
||||
Thu, 08 Sep 2022 15:30:45: Epoch [9/10], Step [400/12534], Loss: 0.1148
|
||||
Thu, 08 Sep 2022 15:30:56: Epoch [9/10], Step [600/12534], Loss: 0.2109
|
||||
Thu, 08 Sep 2022 15:31:06: Epoch [9/10], Step [800/12534], Loss: 0.1683
|
||||
Thu, 08 Sep 2022 15:31:17: Epoch [9/10], Step [1000/12534], Loss: 0.1186
|
||||
Thu, 08 Sep 2022 15:31:28: Epoch [9/10], Step [1200/12534], Loss: 0.1567
|
||||
Thu, 08 Sep 2022 15:31:39: Epoch [9/10], Step [1400/12534], Loss: 0.2087
|
||||
Thu, 08 Sep 2022 15:31:49: Epoch [9/10], Step [1600/12534], Loss: 0.1049
|
||||
Thu, 08 Sep 2022 15:32:00: Epoch [9/10], Step [1800/12534], Loss: 0.1567
|
||||
Thu, 08 Sep 2022 15:32:11: Epoch [9/10], Step [2000/12534], Loss: 0.1953
|
||||
Thu, 08 Sep 2022 15:32:22: Epoch [9/10], Step [2200/12534], Loss: 0.1677
|
||||
Thu, 08 Sep 2022 15:32:32: Epoch [9/10], Step [2400/12534], Loss: 0.1457
|
||||
Thu, 08 Sep 2022 15:32:43: Epoch [9/10], Step [2600/12534], Loss: 0.1843
|
||||
Thu, 08 Sep 2022 15:32:54: Epoch [9/10], Step [2800/12534], Loss: 0.1019
|
||||
Thu, 08 Sep 2022 15:33:05: Epoch [9/10], Step [3000/12534], Loss: 0.1946
|
||||
Thu, 08 Sep 2022 15:33:16: Epoch [9/10], Step [3200/12534], Loss: 0.1735
|
||||
Thu, 08 Sep 2022 15:33:26: Epoch [9/10], Step [3400/12534], Loss: 0.1210
|
||||
Thu, 08 Sep 2022 15:33:37: Epoch [9/10], Step [3600/12534], Loss: 0.1355
|
||||
Thu, 08 Sep 2022 15:33:48: Epoch [9/10], Step [3800/12534], Loss: 0.1680
|
||||
Thu, 08 Sep 2022 15:33:59: Epoch [9/10], Step [4000/12534], Loss: 0.1597
|
||||
Thu, 08 Sep 2022 15:34:09: Epoch [9/10], Step [4200/12534], Loss: 0.1388
|
||||
Thu, 08 Sep 2022 15:34:20: Epoch [9/10], Step [4400/12534], Loss: 0.1568
|
||||
Thu, 08 Sep 2022 15:34:31: Epoch [9/10], Step [4600/12534], Loss: 0.2022
|
||||
Thu, 08 Sep 2022 15:34:42: Epoch [9/10], Step [4800/12534], Loss: 0.1769
|
||||
Thu, 08 Sep 2022 15:34:53: Epoch [9/10], Step [5000/12534], Loss: 0.1436
|
||||
Thu, 08 Sep 2022 15:35:03: Epoch [9/10], Step [5200/12534], Loss: 0.1820
|
||||
Thu, 08 Sep 2022 15:35:14: Epoch [9/10], Step [5400/12534], Loss: 0.1285
|
||||
Thu, 08 Sep 2022 15:35:25: Epoch [9/10], Step [5600/12534], Loss: 0.1587
|
||||
Thu, 08 Sep 2022 15:35:36: Epoch [9/10], Step [5800/12534], Loss: 0.1817
|
||||
Thu, 08 Sep 2022 15:35:46: Epoch [9/10], Step [6000/12534], Loss: 0.1175
|
||||
Thu, 08 Sep 2022 15:35:57: Epoch [9/10], Step [6200/12534], Loss: 0.1298
|
||||
Thu, 08 Sep 2022 15:36:08: Epoch [9/10], Step [6400/12534], Loss: 0.1706
|
||||
Thu, 08 Sep 2022 15:36:19: Epoch [9/10], Step [6600/12534], Loss: 0.1506
|
||||
Thu, 08 Sep 2022 15:36:30: Epoch [9/10], Step [6800/12534], Loss: 0.1710
|
||||
Thu, 08 Sep 2022 15:36:40: Epoch [9/10], Step [7000/12534], Loss: 0.1997
|
||||
Thu, 08 Sep 2022 15:36:51: Epoch [9/10], Step [7200/12534], Loss: 0.1597
|
||||
Thu, 08 Sep 2022 15:37:02: Epoch [9/10], Step [7400/12534], Loss: 0.1835
|
||||
Thu, 08 Sep 2022 15:37:13: Epoch [9/10], Step [7600/12534], Loss: 0.1695
|
||||
Thu, 08 Sep 2022 15:37:23: Epoch [9/10], Step [7800/12534], Loss: 0.1421
|
||||
Thu, 08 Sep 2022 15:37:34: Epoch [9/10], Step [8000/12534], Loss: 0.1410
|
||||
Thu, 08 Sep 2022 15:37:45: Epoch [9/10], Step [8200/12534], Loss: 0.1391
|
||||
Thu, 08 Sep 2022 15:37:56: Epoch [9/10], Step [8400/12534], Loss: 0.0783
|
||||
Thu, 08 Sep 2022 15:38:06: Epoch [9/10], Step [8600/12534], Loss: 0.1962
|
||||
Thu, 08 Sep 2022 15:38:17: Epoch [9/10], Step [8800/12534], Loss: 0.1305
|
||||
Thu, 08 Sep 2022 15:38:28: Epoch [9/10], Step [9000/12534], Loss: 0.1512
|
||||
Thu, 08 Sep 2022 15:38:39: Epoch [9/10], Step [9200/12534], Loss: 0.1921
|
||||
Thu, 08 Sep 2022 15:38:50: Epoch [9/10], Step [9400/12534], Loss: 0.0876
|
||||
Thu, 08 Sep 2022 15:39:00: Epoch [9/10], Step [9600/12534], Loss: 0.1610
|
||||
Thu, 08 Sep 2022 15:39:11: Epoch [9/10], Step [9800/12534], Loss: 0.1617
|
||||
Thu, 08 Sep 2022 15:39:22: Epoch [9/10], Step [10000/12534], Loss: 0.1436
|
||||
Thu, 08 Sep 2022 15:39:33: Epoch [9/10], Step [10200/12534], Loss: 0.1272
|
||||
Thu, 08 Sep 2022 15:39:43: Epoch [9/10], Step [10400/12534], Loss: 0.1562
|
||||
Thu, 08 Sep 2022 15:39:54: Epoch [9/10], Step [10600/12534], Loss: 0.1179
|
||||
Thu, 08 Sep 2022 15:40:05: Epoch [9/10], Step [10800/12534], Loss: 0.1488
|
||||
Thu, 08 Sep 2022 15:40:16: Epoch [9/10], Step [11000/12534], Loss: 0.1572
|
||||
Thu, 08 Sep 2022 15:40:26: Epoch [9/10], Step [11200/12534], Loss: 0.1815
|
||||
Thu, 08 Sep 2022 15:40:37: Epoch [9/10], Step [11400/12534], Loss: 0.1791
|
||||
Thu, 08 Sep 2022 15:40:48: Epoch [9/10], Step [11600/12534], Loss: 0.1526
|
||||
Thu, 08 Sep 2022 15:40:59: Epoch [9/10], Step [11800/12534], Loss: 0.1520
|
||||
Thu, 08 Sep 2022 15:41:09: Epoch [9/10], Step [12000/12534], Loss: 0.1752
|
||||
Thu, 08 Sep 2022 15:41:20: Epoch [9/10], Step [12200/12534], Loss: 0.1447
|
||||
Thu, 08 Sep 2022 15:41:31: Epoch [9/10], Step [12400/12534], Loss: 0.1813
|
||||
Thu, 08 Sep 2022 15:41:49: Epoch [10/10], Step [200/12534], Loss: 0.1688
|
||||
Thu, 08 Sep 2022 15:42:00: Epoch [10/10], Step [400/12534], Loss: 0.1073
|
||||
Thu, 08 Sep 2022 15:42:11: Epoch [10/10], Step [600/12534], Loss: 0.1973
|
||||
Thu, 08 Sep 2022 15:42:22: Epoch [10/10], Step [800/12534], Loss: 0.1548
|
||||
Thu, 08 Sep 2022 15:42:32: Epoch [10/10], Step [1000/12534], Loss: 0.1191
|
||||
Thu, 08 Sep 2022 15:42:43: Epoch [10/10], Step [1200/12534], Loss: 0.1673
|
||||
Thu, 08 Sep 2022 15:42:54: Epoch [10/10], Step [1400/12534], Loss: 0.1769
|
||||
Thu, 08 Sep 2022 15:43:05: Epoch [10/10], Step [1600/12534], Loss: 0.1594
|
||||
Thu, 08 Sep 2022 15:43:16: Epoch [10/10], Step [1800/12534], Loss: 0.1236
|
||||
Thu, 08 Sep 2022 15:43:26: Epoch [10/10], Step [2000/12534], Loss: 0.1011
|
||||
Thu, 08 Sep 2022 15:43:37: Epoch [10/10], Step [2200/12534], Loss: 0.2566
|
||||
Thu, 08 Sep 2022 15:43:48: Epoch [10/10], Step [2400/12534], Loss: 0.1821
|
||||
Thu, 08 Sep 2022 15:43:59: Epoch [10/10], Step [2600/12534], Loss: 0.1522
|
||||
Thu, 08 Sep 2022 15:44:09: Epoch [10/10], Step [2800/12534], Loss: 0.1858
|
||||
Thu, 08 Sep 2022 15:44:20: Epoch [10/10], Step [3000/12534], Loss: 0.1647
|
||||
Thu, 08 Sep 2022 15:44:31: Epoch [10/10], Step [3200/12534], Loss: 0.1463
|
||||
Thu, 08 Sep 2022 15:44:42: Epoch [10/10], Step [3400/12534], Loss: 0.1864
|
||||
Thu, 08 Sep 2022 15:44:52: Epoch [10/10], Step [3600/12534], Loss: 0.1592
|
||||
Thu, 08 Sep 2022 15:45:03: Epoch [10/10], Step [3800/12534], Loss: 0.1232
|
||||
Thu, 08 Sep 2022 15:45:14: Epoch [10/10], Step [4000/12534], Loss: 0.1617
|
||||
Thu, 08 Sep 2022 15:45:25: Epoch [10/10], Step [4200/12534], Loss: 0.0993
|
||||
Thu, 08 Sep 2022 15:45:35: Epoch [10/10], Step [4400/12534], Loss: 0.1159
|
||||
Thu, 08 Sep 2022 15:45:46: Epoch [10/10], Step [4600/12534], Loss: 0.1428
|
||||
Thu, 08 Sep 2022 15:45:57: Epoch [10/10], Step [4800/12534], Loss: 0.0927
|
||||
Thu, 08 Sep 2022 15:46:08: Epoch [10/10], Step [5000/12534], Loss: 0.2225
|
||||
Thu, 08 Sep 2022 15:46:18: Epoch [10/10], Step [5200/12534], Loss: 0.1391
|
||||
Thu, 08 Sep 2022 15:46:29: Epoch [10/10], Step [5400/12534], Loss: 0.1224
|
||||
Thu, 08 Sep 2022 15:46:40: Epoch [10/10], Step [5600/12534], Loss: 0.1900
|
||||
Thu, 08 Sep 2022 15:46:51: Epoch [10/10], Step [5800/12534], Loss: 0.0964
|
||||
Thu, 08 Sep 2022 15:47:02: Epoch [10/10], Step [6000/12534], Loss: 0.1615
|
||||
Thu, 08 Sep 2022 15:47:12: Epoch [10/10], Step [6200/12534], Loss: 0.2440
|
||||
Thu, 08 Sep 2022 15:47:23: Epoch [10/10], Step [6400/12534], Loss: 0.1280
|
||||
Thu, 08 Sep 2022 15:47:34: Epoch [10/10], Step [6600/12534], Loss: 0.1338
|
||||
Thu, 08 Sep 2022 15:47:44: Epoch [10/10], Step [6800/12534], Loss: 0.1079
|
||||
Thu, 08 Sep 2022 15:47:55: Epoch [10/10], Step [7000/12534], Loss: 0.0907
|
||||
Thu, 08 Sep 2022 15:48:06: Epoch [10/10], Step [7200/12534], Loss: 0.1892
|
||||
Thu, 08 Sep 2022 15:48:16: Epoch [10/10], Step [7400/12534], Loss: 0.1387
|
||||
Thu, 08 Sep 2022 15:48:27: Epoch [10/10], Step [7600/12534], Loss: 0.1164
|
||||
Thu, 08 Sep 2022 15:48:38: Epoch [10/10], Step [7800/12534], Loss: 0.1205
|
||||
Thu, 08 Sep 2022 15:48:48: Epoch [10/10], Step [8000/12534], Loss: 0.1247
|
||||
Thu, 08 Sep 2022 15:48:59: Epoch [10/10], Step [8200/12534], Loss: 0.1413
|
||||
Thu, 08 Sep 2022 15:49:10: Epoch [10/10], Step [8400/12534], Loss: 0.1621
|
||||
Thu, 08 Sep 2022 15:49:20: Epoch [10/10], Step [8600/12534], Loss: 0.0832
|
||||
Thu, 08 Sep 2022 15:49:31: Epoch [10/10], Step [8800/12534], Loss: 0.1303
|
||||
Thu, 08 Sep 2022 15:49:42: Epoch [10/10], Step [9000/12534], Loss: 0.1152
|
||||
Thu, 08 Sep 2022 15:49:52: Epoch [10/10], Step [9200/12534], Loss: 0.1172
|
||||
Thu, 08 Sep 2022 15:50:03: Epoch [10/10], Step [9400/12534], Loss: 0.1397
|
||||
Thu, 08 Sep 2022 15:50:14: Epoch [10/10], Step [9600/12534], Loss: 0.1880
|
||||
Thu, 08 Sep 2022 15:50:24: Epoch [10/10], Step [9800/12534], Loss: 0.1672
|
||||
Thu, 08 Sep 2022 15:50:35: Epoch [10/10], Step [10000/12534], Loss: 0.1594
|
||||
Thu, 08 Sep 2022 15:50:46: Epoch [10/10], Step [10200/12534], Loss: 0.1796
|
||||
Thu, 08 Sep 2022 15:50:57: Epoch [10/10], Step [10400/12534], Loss: 0.1789
|
||||
Thu, 08 Sep 2022 15:51:07: Epoch [10/10], Step [10600/12534], Loss: 0.1514
|
||||
Thu, 08 Sep 2022 15:51:18: Epoch [10/10], Step [10800/12534], Loss: 0.1888
|
||||
Thu, 08 Sep 2022 15:51:29: Epoch [10/10], Step [11000/12534], Loss: 0.1698
|
||||
Thu, 08 Sep 2022 15:51:39: Epoch [10/10], Step [11200/12534], Loss: 0.1356
|
||||
Thu, 08 Sep 2022 15:51:50: Epoch [10/10], Step [11400/12534], Loss: 0.1570
|
||||
Thu, 08 Sep 2022 15:52:01: Epoch [10/10], Step [11600/12534], Loss: 0.1711
|
||||
Thu, 08 Sep 2022 15:52:12: Epoch [10/10], Step [11800/12534], Loss: 0.1641
|
||||
Thu, 08 Sep 2022 15:52:22: Epoch [10/10], Step [12000/12534], Loss: 0.1190
|
||||
Thu, 08 Sep 2022 15:52:33: Epoch [10/10], Step [12200/12534], Loss: 0.1734
|
||||
Thu, 08 Sep 2022 15:52:44: Epoch [10/10], Step [12400/12534], Loss: 0.0864
|
||||
Thu, 08 Sep 2022 15:52:51: start testing on test dataset
|
||||
Thu, 08 Sep 2022 15:56:31:
|
||||
f1:0.92753120976487
|
||||
Thu, 08 Sep 2022 15:56:32:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9896 0.8541 0.9169 156690
|
||||
1.0 0.8717 0.9910 0.9275 156649
|
||||
|
||||
accuracy 0.9226 313339
|
||||
macro avg 0.9306 0.9226 0.9222 313339
|
||||
weighted avg 0.9307 0.9226 0.9222 313339
|
||||
|
||||
Thu, 08 Sep 2022 15:56:32:
|
||||
[[133834 22856]
|
||||
[ 1403 155246]]
|
||||
647
代码/sequenceShield/论文数据/ss-lstm-cicddos2019.log
Normal file
647
代码/sequenceShield/论文数据/ss-lstm-cicddos2019.log
Normal file
@@ -0,0 +1,647 @@
|
||||
Wed, 14 Sep 2022 12:09:55: -------------
|
||||
Wed, 14 Sep 2022 12:09:55: cuda is_available:True
|
||||
Wed, 14 Sep 2022 12:09:55: parameters - batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 12:09:55: get protocols:
|
||||
Wed, 14 Sep 2022 12:09:55: reading csv file: all.csv
|
||||
Wed, 14 Sep 2022 12:11:37: procols num: 484
|
||||
Wed, 14 Sep 2022 12:11:37: procols : ['ICMP', 'TCP', 'SSHv2', 'OSPF', 'TLSv1', 'TLSv1.2', 'DNS', 'HTTP', 'OCSP', 'TLSv1.3', 'SIP', 'DHCP', 'UDP', 'NBNS', 'LLMNR', 'SSH', 'IPMB', 'RTCP', 'SSDP', 'SRVLOC', 'H.225.0', 'AX4000', 'DLEP', 'QUAKE3', 'DHCPv6', 'RIP', 'GSMTAP', 'NCP', 'BAT_GW', 'CUPS', 'LTP Segment', 'Elasticsearch', 'QUAKE2', 'LMP', 'HCrt', 'Nano', 'MIPv6', 'CN/IP', 'MANOLITO', 'EAP', 'KDP', 'MEMCACHE', 'DTLS', 'VITA 49', 'LLC', 'lw_res', 'AC DR', 'IPv4', 'FIND', 'WHO', 'Syslog', 'RIPng', 'ATH', 'TSP', 'MINT', 'RakNet', 'PNIO', 'RDPUDP', 'ASAP', 'ASTERIX', 'BFD Control', 'ESP', 'QUAKE', '3GPP2 A11', 'XYPLEX', 'CLNP', 'BOOTP', 'BAT_BATMAN', 'SCTP', 'NTP', 'TPLINK-SMARTHOME/JSON', 'KPASSWD', 'BAT_VIS', 'WLCCP', 'ULP', 'KNET', 'eDonkey', 'DCC', 'DNPv34', 'DNPv96', 'DNPv26', 'DNPv5', 'DNPv13', 'DNPv122', 'DNPv114', 'DNPv0 ', 'DNPv102', 'DNPv29', 'DNPv20', 'DNPv80', 'DNPv41', 'DNPv8', 'DNPv90', 'DNPv16', 'DNPv10', 'DNPv127', 'DNPv52', 'DNPv109', 'DNPv50', 'DNPv107', 'DNPv6', 'DNPv123', 'DNPv124', 'DNPv32', 'DNPv88', 'DNPv72', 'DNPv92', 'DNPv22', 'DNPv12', 'DNPv69', 'DNPv106', 'DNPv86', 'DNPv19', 'DNPv116', 'DNPv68', 'DNPv64', 'DNPv60', 'DNPv105', 'DNPv101', 'DNPv28', 'DNPv33', 'DNPv45', 'DNPv73', 'DNPv39', 'DNPv93', 'DNPv84', 'DNPv46', 'DNPv48', 'DNPv27', 'DNPv100', 'DNPv95', 'DNPv117', 'DNPv53', 'DNPv31', 'DNPv25', 'DNPv35', 'DNPv36', 'DNPv11', 'DNPv66', 'DNPv51', 'DNPv75', 'DNPv71', 'DNPv62', 'DNPv59', 'DNPv74', 'DNPv4', 'DNPv42', 'DNPv94', 'DNPv56', 'DNPv108', 'DNPv112', 'DNPv38', 'DNPv91', 'DNPv120', 'DNPv18', 'DNPv125', 'DNPv54', 'DNPv3', 'DNPv15', 'DNPv77', 'DNPv83', 'DNPv58', 'DNPv2', 'DNPv44', 'DNPv23', 'DNPv119', 'DNPv113', 'DNPv14', 'DNPv40', 'DNPv78', 'DNPv99', 'DNPv111', 'DNPv9', 'DNPv118', 'DNPv121', 'DNPv82', 'DNPv57', 'DNPv104', 'DNPv98', 'DNPv126', 'DNPv30', 'DNPv17', 'DNPv63', 'DNPv67', 'DNPv89', 'DNPv21', 'DNPv97', 'DNPv47', 'DNPv49', 'DNPv7', 'DNPv81', 'DNPv24', 'DNPv79', 'DNPv61', 'DNPv85', 'DNPv55', 'DNPv65', 'DPPv58', 'DNPv70', 'DNPv87', 'DNPv110', 'DPPv0 ', 'DNPv76', 'DPPv96', 'DNPv37', 'DNPv115', 'DNPv43', 'DNPv103', 'DPPv45', 'DPPv57', 'DPPv33', 'DNPv1 ', 'DPPv91', 'DPPv52', 'DPPv122', 'DPPv28', 'DPPv13', 'DPPv127', 'DPPv4', 'DPPv23', 'DPPv35', 'DPPv106', 'DPPv84', 'DPPv54', 'DPPv12', 'DPPv22', 'DPPv38', 'DPPv110', 'RIPv2', 'DPPv8', 'DPPv80', 'DPPv43', 'DPPv117', 'DPPv116', 'DPPv109', 'DPPv104', 'DPPv89', 'DPPv30', 'DPPv63', 'DPPv24', 'DPPv42', 'DPPv126', 'DPPv1', 'DPPv32', 'DPPv77', 'openSAFETY over UDP', 'DPPv21', 'DPPv39', 'DPPv37', 'DPPv7', 'DPPv19', 'DPPv107', 'ISAKMP', 'DPPv6', 'DPPv114', 'DPPv25', 'PKTC', 'DPPv56', 'DPPv64', 'DPPv113', 'DPPv90', 'DPPv100', 'DPPv108', 'DPPv5', 'DPPv26', 'DPPv14', 'DPPv85', 'DPPv118', 'DPPv18', 'DPPv123', 'DPPv121', 'DSPv2 ', 'DIS', 'SABP', 'DPPv17', 'DPPv101', 'DPPv49', 'DPPv93', 'UNKNOWN', 'DPPv98', 'DPPv82', 'DPPv27', 'DPPv41', 'collectd', 'DPPv29', 'DPPv3', 'DPPv76', 'DPPv105', 'DPPv99', 'DPPv34', 'DPPv60', 'DPPv75', 'MNDP', 'DPPv69', 'DPPv66', 'ALLJOYN-NS', 'IAPP', 'ALC', 'UAUDP', 'TIME', 'DPPv47', 'RSIP', 'MDNS', 'RDT', 'DPPv97', 'DPPv112', 'DPPv102', 'GRE', 'DPPv88', 'DPPv94', 'DPPv53', 'OLSR v1', 'WSP', 'DPPv81', 'ECHO', 'KINK', 'DPPv79', 'DPPv48', 'WTLS+WTP+WSP', 'TS2', 'IEEE1722', 'IO-RAW', 'SAP/SDP', 'ADP', 'Auto-RP', 'BFD Echo', 'SAP', 'DPPv44', 'VxLAN', 'ENRP', 'ICP', 'RIPv1', 'EGD', 'DPPv71', 'MIH', 'Vuze-DHT', 'DPPv51', 'AYIYA', 'XTACACS', 'DPPv125', 'MSproxy', 'DPPv61', 'H.248', 'CLDAP', 'DPPv74', 'DPPv65', 'IPv6', 'BJNP', 'LISP', 'Geneve', 'DPPv10', 'AODV', 'WTLS+WSP', 'LWAPP', 'DPPv115', 'IPVS', 'SCoP', 'A21', 'RRoCE', 'MSMMS', 'DPPv70', 'NBDS', 'GPRS-NS', 'QUAKEWORLD', 'TFTP', 'CoAP', 'GTP', 'CIP I/O', 'IDN', 'ANSI C12.22', 'DAYTIME', 'KRB5', 'MobileIP', 'DPNET', 'DB-LSP-DISC', 'TC-NV', 'ENIP', 'TPKT', 'WTP+WSP', 'OpenVPN', 'IAX2', 'TIPC', '0x0001', 'L2TP', '0x0000', 'L2TPv3', 'ECMP', 'CAPWAP-Control', '0x2043', 'KRB4', 'TETRA', 'DMP', 'ALLJOYN-ARDP', 'PFCP', 'IP', 'NAT-PMP', 'RSVP', 'AMT', 'DPPv50', 'DPPv36', 'DPPv73', 'DPPv72', 'DPPv9', 'ECAT', 'DPPv120', 'RTPproxy', 'DPPv59', 'DPPv62', 'packetbb', 'GTPv2', 'DPPv87', '0x000d', '0x000c', 'DPPv111', 'DPPv119', 'DPPv95', 'DPPv40', 'PCP v1', 'DPPv103', 'DPPv15', 'DPPv78', 'BACnet-APDU', 'DPPv68', 'DPPv83', 'DPPv31', 'AMS', 'DPPv46', 'DPPv20', 'DPPv124', 'IPX', '0x0006', 'DPPv86', 'DPPv16', 'DPPv11', 'DPPv67', '0x0009', 'DPPv92', '0x000b', 'DPPv55', 'HPEXT', 'BVLC', '0x000e', '0x000a', 'PCP v2', 'LDP', 'SliMP3', 'BROWSER', 'HTTP/JSON', 'POWERLINK/UDP', '802.11', 'Modbus/UDP', 'MPLS', 'TZSP', 'SNMP', 'HiQnet', '? KNXnet/IP', 'UDP/MIKEY', 'TPCP', '0x0008', 'SEBEK', 'EAPOL', 'SSL', 'Bundle', 'RADIUS', 'NXP 802.15.4 SNIFFER', 'PN-RTC3', 'CAPWAP-Data', 'TAPA', 'ECATF', 'DoIP', 'GSM SIM', '0x7665', '0x000f', '0x0007', 'PTPv2', '0x616d', 'Portmap', 'RPC', 'GTP <GTP>', 'LBT-RU', 'SSLv2', 'STUN', 'HTTP/XML', 'IGMPv3']
|
||||
Wed, 14 Sep 2022 12:11:39: preprocessing file ./cicddos2019/label/all.csv
|
||||
Wed, 14 Sep 2022 12:12:33: before sampling number_1:1546004
|
||||
Wed, 14 Sep 2022 12:12:33: before sampling number_0:20691
|
||||
Wed, 14 Sep 2022 12:35:06: start training ./cicddos2019/label/all.csv
|
||||
Wed, 14 Sep 2022 12:35:17: Epoch [1/10], Step [200/12534], Loss: 0.0375
|
||||
Wed, 14 Sep 2022 12:35:27: Epoch [1/10], Step [400/12534], Loss: 0.0048
|
||||
Wed, 14 Sep 2022 12:35:37: Epoch [1/10], Step [600/12534], Loss: 0.0047
|
||||
Wed, 14 Sep 2022 12:35:47: Epoch [1/10], Step [800/12534], Loss: 0.0041
|
||||
Wed, 14 Sep 2022 12:35:57: Epoch [1/10], Step [1000/12534], Loss: 0.0411
|
||||
Wed, 14 Sep 2022 12:36:07: Epoch [1/10], Step [1200/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 12:36:17: Epoch [1/10], Step [1400/12534], Loss: 0.0215
|
||||
Wed, 14 Sep 2022 12:36:27: Epoch [1/10], Step [1600/12534], Loss: 0.0521
|
||||
Wed, 14 Sep 2022 12:36:37: Epoch [1/10], Step [1800/12534], Loss: 0.0341
|
||||
Wed, 14 Sep 2022 12:36:47: Epoch [1/10], Step [2000/12534], Loss: 0.0045
|
||||
Wed, 14 Sep 2022 12:36:56: Epoch [1/10], Step [2200/12534], Loss: 0.0171
|
||||
Wed, 14 Sep 2022 12:37:07: Epoch [1/10], Step [2400/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 12:37:16: Epoch [1/10], Step [2600/12534], Loss: 0.0084
|
||||
Wed, 14 Sep 2022 12:37:27: Epoch [1/10], Step [2800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:37:37: Epoch [1/10], Step [3000/12534], Loss: 0.0118
|
||||
Wed, 14 Sep 2022 12:37:47: Epoch [1/10], Step [3200/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 12:37:57: Epoch [1/10], Step [3400/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 12:38:07: Epoch [1/10], Step [3600/12534], Loss: 0.0431
|
||||
Wed, 14 Sep 2022 12:38:17: Epoch [1/10], Step [3800/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:38:27: Epoch [1/10], Step [4000/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 12:38:37: Epoch [1/10], Step [4200/12534], Loss: 0.0108
|
||||
Wed, 14 Sep 2022 12:38:47: Epoch [1/10], Step [4400/12534], Loss: 0.0038
|
||||
Wed, 14 Sep 2022 12:38:57: Epoch [1/10], Step [4600/12534], Loss: 0.0447
|
||||
Wed, 14 Sep 2022 12:39:08: Epoch [1/10], Step [4800/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 12:39:17: Epoch [1/10], Step [5000/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 12:39:27: Epoch [1/10], Step [5200/12534], Loss: 0.0020
|
||||
Wed, 14 Sep 2022 12:39:37: Epoch [1/10], Step [5400/12534], Loss: 0.0147
|
||||
Wed, 14 Sep 2022 12:39:47: Epoch [1/10], Step [5600/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 12:39:57: Epoch [1/10], Step [5800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:40:07: Epoch [1/10], Step [6000/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 12:40:16: Epoch [1/10], Step [6200/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 12:40:26: Epoch [1/10], Step [6400/12534], Loss: 0.0019
|
||||
Wed, 14 Sep 2022 12:40:36: Epoch [1/10], Step [6600/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 12:40:46: Epoch [1/10], Step [6800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:40:55: Epoch [1/10], Step [7000/12534], Loss: 0.0640
|
||||
Wed, 14 Sep 2022 12:41:05: Epoch [1/10], Step [7200/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 12:41:15: Epoch [1/10], Step [7400/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:41:25: Epoch [1/10], Step [7600/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 12:41:35: Epoch [1/10], Step [7800/12534], Loss: 0.0202
|
||||
Wed, 14 Sep 2022 12:41:45: Epoch [1/10], Step [8000/12534], Loss: 0.0113
|
||||
Wed, 14 Sep 2022 12:41:55: Epoch [1/10], Step [8200/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 12:42:05: Epoch [1/10], Step [8400/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:42:15: Epoch [1/10], Step [8600/12534], Loss: 0.0259
|
||||
Wed, 14 Sep 2022 12:42:25: Epoch [1/10], Step [8800/12534], Loss: 0.0229
|
||||
Wed, 14 Sep 2022 12:42:35: Epoch [1/10], Step [9000/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 12:42:45: Epoch [1/10], Step [9200/12534], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 12:42:55: Epoch [1/10], Step [9400/12534], Loss: 0.0037
|
||||
Wed, 14 Sep 2022 12:43:05: Epoch [1/10], Step [9600/12534], Loss: 0.0573
|
||||
Wed, 14 Sep 2022 12:43:16: Epoch [1/10], Step [9800/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 12:43:27: Epoch [1/10], Step [10000/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 12:43:37: Epoch [1/10], Step [10200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:43:48: Epoch [1/10], Step [10400/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:43:59: Epoch [1/10], Step [10600/12534], Loss: 0.0041
|
||||
Wed, 14 Sep 2022 12:44:10: Epoch [1/10], Step [10800/12534], Loss: 0.0134
|
||||
Wed, 14 Sep 2022 12:44:20: Epoch [1/10], Step [11000/12534], Loss: 0.0055
|
||||
Wed, 14 Sep 2022 12:44:32: Epoch [1/10], Step [11200/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:44:44: Epoch [1/10], Step [11400/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 12:44:54: Epoch [1/10], Step [11600/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 12:45:05: Epoch [1/10], Step [11800/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:45:15: Epoch [1/10], Step [12000/12534], Loss: 0.0093
|
||||
Wed, 14 Sep 2022 12:45:25: Epoch [1/10], Step [12200/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 12:45:36: Epoch [1/10], Step [12400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:45:53: Epoch [2/10], Step [200/12534], Loss: 0.0030
|
||||
Wed, 14 Sep 2022 12:46:03: Epoch [2/10], Step [400/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 12:46:14: Epoch [2/10], Step [600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:46:25: Epoch [2/10], Step [800/12534], Loss: 0.0041
|
||||
Wed, 14 Sep 2022 12:46:35: Epoch [2/10], Step [1000/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 12:46:45: Epoch [2/10], Step [1200/12534], Loss: 0.0049
|
||||
Wed, 14 Sep 2022 12:46:56: Epoch [2/10], Step [1400/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:47:07: Epoch [2/10], Step [1600/12534], Loss: 0.0047
|
||||
Wed, 14 Sep 2022 12:47:18: Epoch [2/10], Step [1800/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 12:47:28: Epoch [2/10], Step [2000/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:47:38: Epoch [2/10], Step [2200/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 12:47:48: Epoch [2/10], Step [2400/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:47:59: Epoch [2/10], Step [2600/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 12:48:09: Epoch [2/10], Step [2800/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 12:48:19: Epoch [2/10], Step [3000/12534], Loss: 0.0383
|
||||
Wed, 14 Sep 2022 12:48:28: Epoch [2/10], Step [3200/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 12:48:38: Epoch [2/10], Step [3400/12534], Loss: 0.0255
|
||||
Wed, 14 Sep 2022 12:48:48: Epoch [2/10], Step [3600/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 12:48:58: Epoch [2/10], Step [3800/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 12:49:08: Epoch [2/10], Step [4000/12534], Loss: 0.0282
|
||||
Wed, 14 Sep 2022 12:49:18: Epoch [2/10], Step [4200/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:49:28: Epoch [2/10], Step [4400/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 12:49:38: Epoch [2/10], Step [4600/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 12:49:48: Epoch [2/10], Step [4800/12534], Loss: 0.0034
|
||||
Wed, 14 Sep 2022 12:49:58: Epoch [2/10], Step [5000/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:50:08: Epoch [2/10], Step [5200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:50:17: Epoch [2/10], Step [5400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:50:27: Epoch [2/10], Step [5600/12534], Loss: 0.0042
|
||||
Wed, 14 Sep 2022 12:50:37: Epoch [2/10], Step [5800/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 12:50:47: Epoch [2/10], Step [6000/12534], Loss: 0.0089
|
||||
Wed, 14 Sep 2022 12:50:57: Epoch [2/10], Step [6200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:51:07: Epoch [2/10], Step [6400/12534], Loss: 0.0412
|
||||
Wed, 14 Sep 2022 12:51:17: Epoch [2/10], Step [6600/12534], Loss: 0.0287
|
||||
Wed, 14 Sep 2022 12:51:27: Epoch [2/10], Step [6800/12534], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 12:51:37: Epoch [2/10], Step [7000/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:51:47: Epoch [2/10], Step [7200/12534], Loss: 0.0024
|
||||
Wed, 14 Sep 2022 12:51:57: Epoch [2/10], Step [7400/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:52:07: Epoch [2/10], Step [7600/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 12:52:17: Epoch [2/10], Step [7800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:52:27: Epoch [2/10], Step [8000/12534], Loss: 0.0185
|
||||
Wed, 14 Sep 2022 12:52:36: Epoch [2/10], Step [8200/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 12:52:46: Epoch [2/10], Step [8400/12534], Loss: 0.0147
|
||||
Wed, 14 Sep 2022 12:52:56: Epoch [2/10], Step [8600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 12:53:07: Epoch [2/10], Step [8800/12534], Loss: 0.0364
|
||||
Wed, 14 Sep 2022 12:53:16: Epoch [2/10], Step [9000/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 12:53:26: Epoch [2/10], Step [9200/12534], Loss: 0.0041
|
||||
Wed, 14 Sep 2022 12:53:36: Epoch [2/10], Step [9400/12534], Loss: 0.0266
|
||||
Wed, 14 Sep 2022 12:53:46: Epoch [2/10], Step [9600/12534], Loss: 0.0273
|
||||
Wed, 14 Sep 2022 12:53:56: Epoch [2/10], Step [9800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 12:54:06: Epoch [2/10], Step [10000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 12:54:16: Epoch [2/10], Step [10200/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 12:54:26: Epoch [2/10], Step [10400/12534], Loss: 0.0034
|
||||
Wed, 14 Sep 2022 12:54:36: Epoch [2/10], Step [10600/12534], Loss: 0.0172
|
||||
Wed, 14 Sep 2022 12:54:47: Epoch [2/10], Step [10800/12534], Loss: 0.0035
|
||||
Wed, 14 Sep 2022 12:54:57: Epoch [2/10], Step [11000/12534], Loss: 0.0115
|
||||
Wed, 14 Sep 2022 12:55:07: Epoch [2/10], Step [11200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:55:17: Epoch [2/10], Step [11400/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 12:55:27: Epoch [2/10], Step [11600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:55:37: Epoch [2/10], Step [11800/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 12:55:47: Epoch [2/10], Step [12000/12534], Loss: 0.0104
|
||||
Wed, 14 Sep 2022 12:55:56: Epoch [2/10], Step [12200/12534], Loss: 0.0181
|
||||
Wed, 14 Sep 2022 12:56:06: Epoch [2/10], Step [12400/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 12:56:23: Epoch [3/10], Step [200/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 12:56:33: Epoch [3/10], Step [400/12534], Loss: 0.0060
|
||||
Wed, 14 Sep 2022 12:56:43: Epoch [3/10], Step [600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 12:56:53: Epoch [3/10], Step [800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:57:03: Epoch [3/10], Step [1000/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 12:57:13: Epoch [3/10], Step [1200/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 12:57:23: Epoch [3/10], Step [1400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:57:33: Epoch [3/10], Step [1600/12534], Loss: 0.0048
|
||||
Wed, 14 Sep 2022 12:57:43: Epoch [3/10], Step [1800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 12:57:53: Epoch [3/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 12:58:04: Epoch [3/10], Step [2200/12534], Loss: 0.0056
|
||||
Wed, 14 Sep 2022 12:58:14: Epoch [3/10], Step [2400/12534], Loss: 0.0021
|
||||
Wed, 14 Sep 2022 12:58:23: Epoch [3/10], Step [2600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:58:33: Epoch [3/10], Step [2800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 12:58:43: Epoch [3/10], Step [3000/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 12:58:53: Epoch [3/10], Step [3200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:59:03: Epoch [3/10], Step [3400/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 12:59:13: Epoch [3/10], Step [3600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 12:59:23: Epoch [3/10], Step [3800/12534], Loss: 0.0148
|
||||
Wed, 14 Sep 2022 12:59:33: Epoch [3/10], Step [4000/12534], Loss: 0.0155
|
||||
Wed, 14 Sep 2022 12:59:43: Epoch [3/10], Step [4200/12534], Loss: 0.0068
|
||||
Wed, 14 Sep 2022 12:59:53: Epoch [3/10], Step [4400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:00:03: Epoch [3/10], Step [4600/12534], Loss: 0.0030
|
||||
Wed, 14 Sep 2022 13:00:13: Epoch [3/10], Step [4800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:00:23: Epoch [3/10], Step [5000/12534], Loss: 0.0108
|
||||
Wed, 14 Sep 2022 13:00:33: Epoch [3/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:00:43: Epoch [3/10], Step [5400/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 13:00:53: Epoch [3/10], Step [5600/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 13:01:02: Epoch [3/10], Step [5800/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 13:01:12: Epoch [3/10], Step [6000/12534], Loss: 0.0275
|
||||
Wed, 14 Sep 2022 13:01:22: Epoch [3/10], Step [6200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:01:32: Epoch [3/10], Step [6400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:01:42: Epoch [3/10], Step [6600/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:01:52: Epoch [3/10], Step [6800/12534], Loss: 0.0049
|
||||
Wed, 14 Sep 2022 13:02:02: Epoch [3/10], Step [7000/12534], Loss: 0.0031
|
||||
Wed, 14 Sep 2022 13:02:12: Epoch [3/10], Step [7200/12534], Loss: 0.0160
|
||||
Wed, 14 Sep 2022 13:02:22: Epoch [3/10], Step [7400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:02:32: Epoch [3/10], Step [7600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 13:02:42: Epoch [3/10], Step [7800/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 13:02:52: Epoch [3/10], Step [8000/12534], Loss: 0.0026
|
||||
Wed, 14 Sep 2022 13:03:01: Epoch [3/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:03:11: Epoch [3/10], Step [8400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:03:21: Epoch [3/10], Step [8600/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 13:03:31: Epoch [3/10], Step [8800/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 13:03:41: Epoch [3/10], Step [9000/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:03:51: Epoch [3/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:04:01: Epoch [3/10], Step [9400/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 13:04:11: Epoch [3/10], Step [9600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:04:21: Epoch [3/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:04:30: Epoch [3/10], Step [10000/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 13:04:40: Epoch [3/10], Step [10200/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 13:04:50: Epoch [3/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:05:00: Epoch [3/10], Step [10600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:05:10: Epoch [3/10], Step [10800/12534], Loss: 0.0066
|
||||
Wed, 14 Sep 2022 13:05:20: Epoch [3/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:05:30: Epoch [3/10], Step [11200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:05:40: Epoch [3/10], Step [11400/12534], Loss: 0.0211
|
||||
Wed, 14 Sep 2022 13:05:50: Epoch [3/10], Step [11600/12534], Loss: 0.0065
|
||||
Wed, 14 Sep 2022 13:05:59: Epoch [3/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:06:09: Epoch [3/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:06:19: Epoch [3/10], Step [12200/12534], Loss: 0.0052
|
||||
Wed, 14 Sep 2022 13:06:29: Epoch [3/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:06:46: Epoch [4/10], Step [200/12534], Loss: 0.0186
|
||||
Wed, 14 Sep 2022 13:06:56: Epoch [4/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:07:06: Epoch [4/10], Step [600/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 13:07:15: Epoch [4/10], Step [800/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:07:25: Epoch [4/10], Step [1000/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:07:35: Epoch [4/10], Step [1200/12534], Loss: 0.0129
|
||||
Wed, 14 Sep 2022 13:07:45: Epoch [4/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:07:55: Epoch [4/10], Step [1600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:08:05: Epoch [4/10], Step [1800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:08:15: Epoch [4/10], Step [2000/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 13:08:25: Epoch [4/10], Step [2200/12534], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 13:08:35: Epoch [4/10], Step [2400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:08:44: Epoch [4/10], Step [2600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:08:54: Epoch [4/10], Step [2800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:09:04: Epoch [4/10], Step [3000/12534], Loss: 0.0370
|
||||
Wed, 14 Sep 2022 13:09:14: Epoch [4/10], Step [3200/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 13:09:24: Epoch [4/10], Step [3400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:09:34: Epoch [4/10], Step [3600/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 13:09:44: Epoch [4/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:09:53: Epoch [4/10], Step [4000/12534], Loss: 0.0057
|
||||
Wed, 14 Sep 2022 13:10:03: Epoch [4/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:10:13: Epoch [4/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:10:23: Epoch [4/10], Step [4600/12534], Loss: 0.0047
|
||||
Wed, 14 Sep 2022 13:10:33: Epoch [4/10], Step [4800/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:10:43: Epoch [4/10], Step [5000/12534], Loss: 0.0088
|
||||
Wed, 14 Sep 2022 13:10:53: Epoch [4/10], Step [5200/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 13:11:03: Epoch [4/10], Step [5400/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 13:11:12: Epoch [4/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:11:22: Epoch [4/10], Step [5800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:11:32: Epoch [4/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:11:42: Epoch [4/10], Step [6200/12534], Loss: 0.0026
|
||||
Wed, 14 Sep 2022 13:11:53: Epoch [4/10], Step [6400/12534], Loss: 0.0049
|
||||
Wed, 14 Sep 2022 13:12:03: Epoch [4/10], Step [6600/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:12:13: Epoch [4/10], Step [6800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:12:23: Epoch [4/10], Step [7000/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:12:33: Epoch [4/10], Step [7200/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 13:12:43: Epoch [4/10], Step [7400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:12:53: Epoch [4/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:13:03: Epoch [4/10], Step [7800/12534], Loss: 0.0101
|
||||
Wed, 14 Sep 2022 13:13:13: Epoch [4/10], Step [8000/12534], Loss: 0.0058
|
||||
Wed, 14 Sep 2022 13:13:23: Epoch [4/10], Step [8200/12534], Loss: 0.0092
|
||||
Wed, 14 Sep 2022 13:13:32: Epoch [4/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:13:42: Epoch [4/10], Step [8600/12534], Loss: 0.0050
|
||||
Wed, 14 Sep 2022 13:13:52: Epoch [4/10], Step [8800/12534], Loss: 0.0559
|
||||
Wed, 14 Sep 2022 13:14:02: Epoch [4/10], Step [9000/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 13:14:12: Epoch [4/10], Step [9200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:14:22: Epoch [4/10], Step [9400/12534], Loss: 0.0182
|
||||
Wed, 14 Sep 2022 13:14:32: Epoch [4/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:14:42: Epoch [4/10], Step [9800/12534], Loss: 0.0039
|
||||
Wed, 14 Sep 2022 13:14:52: Epoch [4/10], Step [10000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:15:02: Epoch [4/10], Step [10200/12534], Loss: 0.0110
|
||||
Wed, 14 Sep 2022 13:15:12: Epoch [4/10], Step [10400/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:15:22: Epoch [4/10], Step [10600/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 13:15:31: Epoch [4/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:15:41: Epoch [4/10], Step [11000/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:15:51: Epoch [4/10], Step [11200/12534], Loss: 0.0092
|
||||
Wed, 14 Sep 2022 13:16:01: Epoch [4/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:16:11: Epoch [4/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:16:21: Epoch [4/10], Step [11800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:16:31: Epoch [4/10], Step [12000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:16:41: Epoch [4/10], Step [12200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:16:51: Epoch [4/10], Step [12400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:17:08: Epoch [5/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:17:17: Epoch [5/10], Step [400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:17:27: Epoch [5/10], Step [600/12534], Loss: 0.0253
|
||||
Wed, 14 Sep 2022 13:17:37: Epoch [5/10], Step [800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:17:47: Epoch [5/10], Step [1000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:17:57: Epoch [5/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:18:07: Epoch [5/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:18:17: Epoch [5/10], Step [1600/12534], Loss: 0.0168
|
||||
Wed, 14 Sep 2022 13:18:27: Epoch [5/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:18:37: Epoch [5/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:18:47: Epoch [5/10], Step [2200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:18:57: Epoch [5/10], Step [2400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:19:07: Epoch [5/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:19:17: Epoch [5/10], Step [2800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:19:27: Epoch [5/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:19:37: Epoch [5/10], Step [3200/12534], Loss: 0.0148
|
||||
Wed, 14 Sep 2022 13:19:47: Epoch [5/10], Step [3400/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:19:56: Epoch [5/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:20:06: Epoch [5/10], Step [3800/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 13:20:16: Epoch [5/10], Step [4000/12534], Loss: 0.0044
|
||||
Wed, 14 Sep 2022 13:20:26: Epoch [5/10], Step [4200/12534], Loss: 0.0019
|
||||
Wed, 14 Sep 2022 13:20:36: Epoch [5/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:20:46: Epoch [5/10], Step [4600/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 13:20:56: Epoch [5/10], Step [4800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:21:06: Epoch [5/10], Step [5000/12534], Loss: 0.0031
|
||||
Wed, 14 Sep 2022 13:21:16: Epoch [5/10], Step [5200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:21:26: Epoch [5/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:21:35: Epoch [5/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:21:45: Epoch [5/10], Step [5800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:21:55: Epoch [5/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:22:05: Epoch [5/10], Step [6200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:22:15: Epoch [5/10], Step [6400/12534], Loss: 0.0031
|
||||
Wed, 14 Sep 2022 13:22:25: Epoch [5/10], Step [6600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 13:22:35: Epoch [5/10], Step [6800/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:22:44: Epoch [5/10], Step [7000/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:22:54: Epoch [5/10], Step [7200/12534], Loss: 0.0390
|
||||
Wed, 14 Sep 2022 13:23:04: Epoch [5/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:23:14: Epoch [5/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:23:24: Epoch [5/10], Step [7800/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 13:23:34: Epoch [5/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:23:44: Epoch [5/10], Step [8200/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 13:23:54: Epoch [5/10], Step [8400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:24:04: Epoch [5/10], Step [8600/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:24:14: Epoch [5/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:24:24: Epoch [5/10], Step [9000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:24:34: Epoch [5/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:24:44: Epoch [5/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:24:54: Epoch [5/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:25:03: Epoch [5/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:25:13: Epoch [5/10], Step [10000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:25:23: Epoch [5/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:25:32: Epoch [5/10], Step [10400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:25:43: Epoch [5/10], Step [10600/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:25:53: Epoch [5/10], Step [10800/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 13:26:02: Epoch [5/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:26:12: Epoch [5/10], Step [11200/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 13:26:22: Epoch [5/10], Step [11400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:26:32: Epoch [5/10], Step [11600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:26:42: Epoch [5/10], Step [11800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:26:52: Epoch [5/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:27:01: Epoch [5/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:27:11: Epoch [5/10], Step [12400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:27:28: Epoch [6/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:27:38: Epoch [6/10], Step [400/12534], Loss: 0.0007
|
||||
Wed, 14 Sep 2022 13:27:48: Epoch [6/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:27:57: Epoch [6/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:28:07: Epoch [6/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:28:17: Epoch [6/10], Step [1200/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 13:28:27: Epoch [6/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:28:37: Epoch [6/10], Step [1600/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 13:28:47: Epoch [6/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:28:56: Epoch [6/10], Step [2000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:29:06: Epoch [6/10], Step [2200/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:29:16: Epoch [6/10], Step [2400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:29:26: Epoch [6/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:29:36: Epoch [6/10], Step [2800/12534], Loss: 0.0043
|
||||
Wed, 14 Sep 2022 13:29:46: Epoch [6/10], Step [3000/12534], Loss: 0.0075
|
||||
Wed, 14 Sep 2022 13:29:55: Epoch [6/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:30:05: Epoch [6/10], Step [3400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:30:15: Epoch [6/10], Step [3600/12534], Loss: 0.0049
|
||||
Wed, 14 Sep 2022 13:30:25: Epoch [6/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:30:35: Epoch [6/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:30:45: Epoch [6/10], Step [4200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:30:54: Epoch [6/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:31:04: Epoch [6/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:31:14: Epoch [6/10], Step [4800/12534], Loss: 0.0061
|
||||
Wed, 14 Sep 2022 13:31:24: Epoch [6/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:31:34: Epoch [6/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:31:44: Epoch [6/10], Step [5400/12534], Loss: 0.0173
|
||||
Wed, 14 Sep 2022 13:31:53: Epoch [6/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:32:03: Epoch [6/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:32:13: Epoch [6/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:32:23: Epoch [6/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:32:33: Epoch [6/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:32:43: Epoch [6/10], Step [6600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:32:52: Epoch [6/10], Step [6800/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 13:33:02: Epoch [6/10], Step [7000/12534], Loss: 0.0059
|
||||
Wed, 14 Sep 2022 13:33:12: Epoch [6/10], Step [7200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:33:22: Epoch [6/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:33:32: Epoch [6/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:33:42: Epoch [6/10], Step [7800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:33:51: Epoch [6/10], Step [8000/12534], Loss: 0.0100
|
||||
Wed, 14 Sep 2022 13:34:01: Epoch [6/10], Step [8200/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 13:34:11: Epoch [6/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:34:21: Epoch [6/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:34:31: Epoch [6/10], Step [8800/12534], Loss: 0.0133
|
||||
Wed, 14 Sep 2022 13:34:41: Epoch [6/10], Step [9000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:34:51: Epoch [6/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:35:01: Epoch [6/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:35:10: Epoch [6/10], Step [9600/12534], Loss: 0.0035
|
||||
Wed, 14 Sep 2022 13:35:20: Epoch [6/10], Step [9800/12534], Loss: 0.0011
|
||||
Wed, 14 Sep 2022 13:35:30: Epoch [6/10], Step [10000/12534], Loss: 0.0230
|
||||
Wed, 14 Sep 2022 13:35:40: Epoch [6/10], Step [10200/12534], Loss: 0.0031
|
||||
Wed, 14 Sep 2022 13:35:50: Epoch [6/10], Step [10400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:36:00: Epoch [6/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:36:10: Epoch [6/10], Step [10800/12534], Loss: 0.0260
|
||||
Wed, 14 Sep 2022 13:36:20: Epoch [6/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:36:30: Epoch [6/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:36:39: Epoch [6/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:36:49: Epoch [6/10], Step [11600/12534], Loss: 0.0086
|
||||
Wed, 14 Sep 2022 13:36:59: Epoch [6/10], Step [11800/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 13:37:09: Epoch [6/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:37:19: Epoch [6/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:37:29: Epoch [6/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:37:46: Epoch [7/10], Step [200/12534], Loss: 0.0091
|
||||
Wed, 14 Sep 2022 13:37:55: Epoch [7/10], Step [400/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:38:05: Epoch [7/10], Step [600/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 13:38:15: Epoch [7/10], Step [800/12534], Loss: 0.0123
|
||||
Wed, 14 Sep 2022 13:38:25: Epoch [7/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:38:35: Epoch [7/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:38:45: Epoch [7/10], Step [1400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:38:55: Epoch [7/10], Step [1600/12534], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 13:39:05: Epoch [7/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:39:15: Epoch [7/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:39:25: Epoch [7/10], Step [2200/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:39:35: Epoch [7/10], Step [2400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:39:44: Epoch [7/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:39:54: Epoch [7/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:40:04: Epoch [7/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:40:14: Epoch [7/10], Step [3200/12534], Loss: 0.0019
|
||||
Wed, 14 Sep 2022 13:40:24: Epoch [7/10], Step [3400/12534], Loss: 0.2636
|
||||
Wed, 14 Sep 2022 13:40:34: Epoch [7/10], Step [3600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:40:44: Epoch [7/10], Step [3800/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 13:40:54: Epoch [7/10], Step [4000/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 13:41:03: Epoch [7/10], Step [4200/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:41:13: Epoch [7/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:41:23: Epoch [7/10], Step [4600/12534], Loss: 0.1729
|
||||
Wed, 14 Sep 2022 13:41:33: Epoch [7/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:41:43: Epoch [7/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:41:53: Epoch [7/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:42:03: Epoch [7/10], Step [5400/12534], Loss: 0.0115
|
||||
Wed, 14 Sep 2022 13:42:13: Epoch [7/10], Step [5600/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 13:42:23: Epoch [7/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:42:33: Epoch [7/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:42:42: Epoch [7/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:42:52: Epoch [7/10], Step [6400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:43:02: Epoch [7/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:43:12: Epoch [7/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:43:22: Epoch [7/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:43:32: Epoch [7/10], Step [7200/12534], Loss: 0.0471
|
||||
Wed, 14 Sep 2022 13:43:42: Epoch [7/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:43:52: Epoch [7/10], Step [7600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:44:02: Epoch [7/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:44:11: Epoch [7/10], Step [8000/12534], Loss: 0.0032
|
||||
Wed, 14 Sep 2022 13:44:21: Epoch [7/10], Step [8200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:44:31: Epoch [7/10], Step [8400/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 13:44:41: Epoch [7/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:44:51: Epoch [7/10], Step [8800/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 13:45:01: Epoch [7/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:45:11: Epoch [7/10], Step [9200/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 13:45:21: Epoch [7/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:45:30: Epoch [7/10], Step [9600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:45:40: Epoch [7/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:45:50: Epoch [7/10], Step [10000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:46:00: Epoch [7/10], Step [10200/12534], Loss: 0.0140
|
||||
Wed, 14 Sep 2022 13:46:10: Epoch [7/10], Step [10400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:46:20: Epoch [7/10], Step [10600/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:46:30: Epoch [7/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:46:40: Epoch [7/10], Step [11000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:46:49: Epoch [7/10], Step [11200/12534], Loss: 0.0029
|
||||
Wed, 14 Sep 2022 13:46:59: Epoch [7/10], Step [11400/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:47:09: Epoch [7/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:47:19: Epoch [7/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:47:29: Epoch [7/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:47:39: Epoch [7/10], Step [12200/12534], Loss: 0.0017
|
||||
Wed, 14 Sep 2022 13:47:49: Epoch [7/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:48:05: Epoch [8/10], Step [200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:48:15: Epoch [8/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:48:25: Epoch [8/10], Step [600/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 13:48:35: Epoch [8/10], Step [800/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:48:45: Epoch [8/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:48:55: Epoch [8/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:49:05: Epoch [8/10], Step [1400/12534], Loss: 0.0128
|
||||
Wed, 14 Sep 2022 13:49:14: Epoch [8/10], Step [1600/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 13:49:24: Epoch [8/10], Step [1800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:49:34: Epoch [8/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:49:44: Epoch [8/10], Step [2200/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 13:49:54: Epoch [8/10], Step [2400/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:50:04: Epoch [8/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:50:14: Epoch [8/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:50:24: Epoch [8/10], Step [3000/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 13:50:33: Epoch [8/10], Step [3200/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:50:43: Epoch [8/10], Step [3400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:50:53: Epoch [8/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:51:03: Epoch [8/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:51:13: Epoch [8/10], Step [4000/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 13:51:23: Epoch [8/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:51:33: Epoch [8/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:51:43: Epoch [8/10], Step [4600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:51:53: Epoch [8/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:52:02: Epoch [8/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:52:12: Epoch [8/10], Step [5200/12534], Loss: 0.0046
|
||||
Wed, 14 Sep 2022 13:52:22: Epoch [8/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:52:32: Epoch [8/10], Step [5600/12534], Loss: 0.0166
|
||||
Wed, 14 Sep 2022 13:52:42: Epoch [8/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:52:52: Epoch [8/10], Step [6000/12534], Loss: 0.0054
|
||||
Wed, 14 Sep 2022 13:53:02: Epoch [8/10], Step [6200/12534], Loss: 0.0022
|
||||
Wed, 14 Sep 2022 13:53:12: Epoch [8/10], Step [6400/12534], Loss: 0.0037
|
||||
Wed, 14 Sep 2022 13:53:21: Epoch [8/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:53:31: Epoch [8/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:53:41: Epoch [8/10], Step [7000/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 13:53:51: Epoch [8/10], Step [7200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:54:01: Epoch [8/10], Step [7400/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 13:54:11: Epoch [8/10], Step [7600/12534], Loss: 0.0184
|
||||
Wed, 14 Sep 2022 13:54:21: Epoch [8/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:54:31: Epoch [8/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:54:40: Epoch [8/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:54:50: Epoch [8/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:55:00: Epoch [8/10], Step [8600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:55:10: Epoch [8/10], Step [8800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:55:20: Epoch [8/10], Step [9000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 13:55:30: Epoch [8/10], Step [9200/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 13:55:40: Epoch [8/10], Step [9400/12534], Loss: 0.0027
|
||||
Wed, 14 Sep 2022 13:55:50: Epoch [8/10], Step [9600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 13:55:59: Epoch [8/10], Step [9800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:56:09: Epoch [8/10], Step [10000/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:56:19: Epoch [8/10], Step [10200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:56:29: Epoch [8/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:56:39: Epoch [8/10], Step [10600/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 13:56:49: Epoch [8/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:56:59: Epoch [8/10], Step [11000/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 13:57:09: Epoch [8/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:57:18: Epoch [8/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:57:28: Epoch [8/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:57:38: Epoch [8/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:57:48: Epoch [8/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:57:58: Epoch [8/10], Step [12200/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 13:58:08: Epoch [8/10], Step [12400/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:58:24: Epoch [9/10], Step [200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 13:58:34: Epoch [9/10], Step [400/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 13:58:44: Epoch [9/10], Step [600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:58:54: Epoch [9/10], Step [800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:59:04: Epoch [9/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:59:14: Epoch [9/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:59:24: Epoch [9/10], Step [1400/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 13:59:34: Epoch [9/10], Step [1600/12534], Loss: 0.0008
|
||||
Wed, 14 Sep 2022 13:59:43: Epoch [9/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 13:59:53: Epoch [9/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:00:03: Epoch [9/10], Step [2200/12534], Loss: 0.0433
|
||||
Wed, 14 Sep 2022 14:00:13: Epoch [9/10], Step [2400/12534], Loss: 0.0028
|
||||
Wed, 14 Sep 2022 14:00:23: Epoch [9/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:00:33: Epoch [9/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:00:43: Epoch [9/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:00:53: Epoch [9/10], Step [3200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:01:02: Epoch [9/10], Step [3400/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:01:12: Epoch [9/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:01:22: Epoch [9/10], Step [3800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:01:32: Epoch [9/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:01:42: Epoch [9/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:01:52: Epoch [9/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:02:02: Epoch [9/10], Step [4600/12534], Loss: 0.0059
|
||||
Wed, 14 Sep 2022 14:02:12: Epoch [9/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:02:22: Epoch [9/10], Step [5000/12534], Loss: 0.0067
|
||||
Wed, 14 Sep 2022 14:02:31: Epoch [9/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:02:41: Epoch [9/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:02:51: Epoch [9/10], Step [5600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:03:01: Epoch [9/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:03:11: Epoch [9/10], Step [6000/12534], Loss: 0.0004
|
||||
Wed, 14 Sep 2022 14:03:21: Epoch [9/10], Step [6200/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 14:03:31: Epoch [9/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:03:41: Epoch [9/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:03:51: Epoch [9/10], Step [6800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:04:00: Epoch [9/10], Step [7000/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:04:10: Epoch [9/10], Step [7200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 14:04:20: Epoch [9/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:04:30: Epoch [9/10], Step [7600/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 14:04:40: Epoch [9/10], Step [7800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:04:50: Epoch [9/10], Step [8000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:05:00: Epoch [9/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:05:10: Epoch [9/10], Step [8400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:05:20: Epoch [9/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:05:29: Epoch [9/10], Step [8800/12534], Loss: 0.0025
|
||||
Wed, 14 Sep 2022 14:05:39: Epoch [9/10], Step [9000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:05:49: Epoch [9/10], Step [9200/12534], Loss: 0.0036
|
||||
Wed, 14 Sep 2022 14:05:59: Epoch [9/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:06:09: Epoch [9/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:06:19: Epoch [9/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:06:29: Epoch [9/10], Step [10000/12534], Loss: 0.0009
|
||||
Wed, 14 Sep 2022 14:06:39: Epoch [9/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:06:50: Epoch [9/10], Step [10400/12534], Loss: 0.0442
|
||||
Wed, 14 Sep 2022 14:07:00: Epoch [9/10], Step [10600/12534], Loss: 0.0010
|
||||
Wed, 14 Sep 2022 14:07:10: Epoch [9/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:07:19: Epoch [9/10], Step [11000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:07:29: Epoch [9/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:07:39: Epoch [9/10], Step [11400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:07:49: Epoch [9/10], Step [11600/12534], Loss: 0.0013
|
||||
Wed, 14 Sep 2022 14:07:59: Epoch [9/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:08:08: Epoch [9/10], Step [12000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:08:18: Epoch [9/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:08:28: Epoch [9/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:08:45: Epoch [10/10], Step [200/12534], Loss: 0.0012
|
||||
Wed, 14 Sep 2022 14:08:55: Epoch [10/10], Step [400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:09:05: Epoch [10/10], Step [600/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 14:09:15: Epoch [10/10], Step [800/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 14:09:25: Epoch [10/10], Step [1000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:09:36: Epoch [10/10], Step [1200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:09:46: Epoch [10/10], Step [1400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:09:57: Epoch [10/10], Step [1600/12534], Loss: 0.0023
|
||||
Wed, 14 Sep 2022 14:10:07: Epoch [10/10], Step [1800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:10:17: Epoch [10/10], Step [2000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:10:27: Epoch [10/10], Step [2200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:10:37: Epoch [10/10], Step [2400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:10:47: Epoch [10/10], Step [2600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:10:57: Epoch [10/10], Step [2800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:11:07: Epoch [10/10], Step [3000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:11:17: Epoch [10/10], Step [3200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 14:11:27: Epoch [10/10], Step [3400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:11:37: Epoch [10/10], Step [3600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:11:47: Epoch [10/10], Step [3800/12534], Loss: 0.0018
|
||||
Wed, 14 Sep 2022 14:11:57: Epoch [10/10], Step [4000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:07: Epoch [10/10], Step [4200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:17: Epoch [10/10], Step [4400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:27: Epoch [10/10], Step [4600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:37: Epoch [10/10], Step [4800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:47: Epoch [10/10], Step [5000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:12:57: Epoch [10/10], Step [5200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:13:07: Epoch [10/10], Step [5400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:13:17: Epoch [10/10], Step [5600/12534], Loss: 0.0014
|
||||
Wed, 14 Sep 2022 14:13:27: Epoch [10/10], Step [5800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:13:37: Epoch [10/10], Step [6000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:13:47: Epoch [10/10], Step [6200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:13:57: Epoch [10/10], Step [6400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:14:07: Epoch [10/10], Step [6600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:14:17: Epoch [10/10], Step [6800/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 14:14:27: Epoch [10/10], Step [7000/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:14:38: Epoch [10/10], Step [7200/12534], Loss: 0.0001
|
||||
Wed, 14 Sep 2022 14:14:47: Epoch [10/10], Step [7400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:14:58: Epoch [10/10], Step [7600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:15:08: Epoch [10/10], Step [7800/12534], Loss: 0.0006
|
||||
Wed, 14 Sep 2022 14:15:18: Epoch [10/10], Step [8000/12534], Loss: 0.0019
|
||||
Wed, 14 Sep 2022 14:15:28: Epoch [10/10], Step [8200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:15:37: Epoch [10/10], Step [8400/12534], Loss: 0.0016
|
||||
Wed, 14 Sep 2022 14:15:47: Epoch [10/10], Step [8600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:15:57: Epoch [10/10], Step [8800/12534], Loss: 0.0002
|
||||
Wed, 14 Sep 2022 14:16:08: Epoch [10/10], Step [9000/12534], Loss: 0.0005
|
||||
Wed, 14 Sep 2022 14:16:18: Epoch [10/10], Step [9200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:16:28: Epoch [10/10], Step [9400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:16:38: Epoch [10/10], Step [9600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:16:48: Epoch [10/10], Step [9800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:16:58: Epoch [10/10], Step [10000/12534], Loss: 0.0015
|
||||
Wed, 14 Sep 2022 14:17:08: Epoch [10/10], Step [10200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:17:18: Epoch [10/10], Step [10400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:17:28: Epoch [10/10], Step [10600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:17:38: Epoch [10/10], Step [10800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:17:48: Epoch [10/10], Step [11000/12534], Loss: 0.0024
|
||||
Wed, 14 Sep 2022 14:17:58: Epoch [10/10], Step [11200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:18:08: Epoch [10/10], Step [11400/12534], Loss: 0.0026
|
||||
Wed, 14 Sep 2022 14:18:18: Epoch [10/10], Step [11600/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:18:28: Epoch [10/10], Step [11800/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:18:38: Epoch [10/10], Step [12000/12534], Loss: 0.0003
|
||||
Wed, 14 Sep 2022 14:18:48: Epoch [10/10], Step [12200/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:18:58: Epoch [10/10], Step [12400/12534], Loss: 0.0000
|
||||
Wed, 14 Sep 2022 14:19:04: start testing on test dataset
|
||||
Wed, 14 Sep 2022 14:21:48:
|
||||
f1:0.9973501633482738
|
||||
Wed, 14 Sep 2022 14:21:49:
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.9991 0.9956 0.9973 156428
|
||||
1.0 0.9956 0.9991 0.9974 156911
|
||||
|
||||
accuracy 0.9973 313339
|
||||
macro avg 0.9973 0.9973 0.9973 313339
|
||||
weighted avg 0.9973 0.9973 0.9973 313339
|
||||
|
||||
Wed, 14 Sep 2022 14:21:50:
|
||||
[[155743 685]
|
||||
[ 148 156763]]
|
||||
654
代码/sequenceShield/论文数据/ss-lstm-cicdos2017-1layer.log
Normal file
654
代码/sequenceShield/论文数据/ss-lstm-cicdos2017-1layer.log
Normal file
@@ -0,0 +1,654 @@
|
||||
Wed, 14 Sep 2022 10:37:29: -------------
|
||||
Wed, 14 Sep 2022 10:37:29: cuda is_available:True
|
||||
Wed, 14 Sep 2022 10:37:29: model parameters - num_layers:1, sequence_len:40
|
||||
Wed, 14 Sep 2022 10:37:29: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Wed, 14 Sep 2022 10:37:29: reading csv file
|
||||
Wed, 14 Sep 2022 10:37:30: csv file alread loaded
|
||||
Wed, 14 Sep 2022 10:37:41: procols num: 31
|
||||
Wed, 14 Sep 2022 10:37:41: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Wed, 14 Sep 2022 10:38:59: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Wed, 14 Sep 2022 10:39:01: loader already prepared
|
||||
Wed, 14 Sep 2022 10:39:01: loader中(0:normal,1:high,2:low):Counter({0: 16040, 2: 10477, 1: 5702})
|
||||
Wed, 14 Sep 2022 10:39:02: start training
|
||||
Wed, 14 Sep 2022 10:39:03: Epoch [1/25], Step [50/1289], Loss: 0.4958
|
||||
Wed, 14 Sep 2022 10:39:03: Epoch [1/25], Step [100/1289], Loss: 0.3817
|
||||
Wed, 14 Sep 2022 10:39:03: Epoch [1/25], Step [150/1289], Loss: 0.4554
|
||||
Wed, 14 Sep 2022 10:39:03: Epoch [1/25], Step [200/1289], Loss: 0.4704
|
||||
Wed, 14 Sep 2022 10:39:03: Epoch [1/25], Step [250/1289], Loss: 0.3883
|
||||
Wed, 14 Sep 2022 10:39:04: Epoch [1/25], Step [300/1289], Loss: 0.3882
|
||||
Wed, 14 Sep 2022 10:39:04: Epoch [1/25], Step [350/1289], Loss: 0.3093
|
||||
Wed, 14 Sep 2022 10:39:04: Epoch [1/25], Step [400/1289], Loss: 0.3782
|
||||
Wed, 14 Sep 2022 10:39:04: Epoch [1/25], Step [450/1289], Loss: 0.2568
|
||||
Wed, 14 Sep 2022 10:39:04: Epoch [1/25], Step [500/1289], Loss: 0.3679
|
||||
Wed, 14 Sep 2022 10:39:05: Epoch [1/25], Step [550/1289], Loss: 0.3447
|
||||
Wed, 14 Sep 2022 10:39:05: Epoch [1/25], Step [600/1289], Loss: 0.2194
|
||||
Wed, 14 Sep 2022 10:39:05: Epoch [1/25], Step [650/1289], Loss: 0.3109
|
||||
Wed, 14 Sep 2022 10:39:05: Epoch [1/25], Step [700/1289], Loss: 0.3961
|
||||
Wed, 14 Sep 2022 10:39:05: Epoch [1/25], Step [750/1289], Loss: 0.4232
|
||||
Wed, 14 Sep 2022 10:39:06: Epoch [1/25], Step [800/1289], Loss: 0.3487
|
||||
Wed, 14 Sep 2022 10:39:06: Epoch [1/25], Step [850/1289], Loss: 0.3355
|
||||
Wed, 14 Sep 2022 10:39:06: Epoch [1/25], Step [900/1289], Loss: 0.2513
|
||||
Wed, 14 Sep 2022 10:39:06: Epoch [1/25], Step [950/1289], Loss: 0.3383
|
||||
Wed, 14 Sep 2022 10:39:06: Epoch [1/25], Step [1000/1289], Loss: 0.3257
|
||||
Wed, 14 Sep 2022 10:39:07: Epoch [1/25], Step [1050/1289], Loss: 0.3188
|
||||
Wed, 14 Sep 2022 10:39:07: Epoch [1/25], Step [1100/1289], Loss: 0.2413
|
||||
Wed, 14 Sep 2022 10:39:07: Epoch [1/25], Step [1150/1289], Loss: 0.2664
|
||||
Wed, 14 Sep 2022 10:39:07: Epoch [1/25], Step [1200/1289], Loss: 0.2602
|
||||
Wed, 14 Sep 2022 10:39:07: Epoch [1/25], Step [1250/1289], Loss: 0.3278
|
||||
Wed, 14 Sep 2022 10:39:08: Epoch [2/25], Step [50/1289], Loss: 0.2895
|
||||
Wed, 14 Sep 2022 10:39:08: Epoch [2/25], Step [100/1289], Loss: 0.2401
|
||||
Wed, 14 Sep 2022 10:39:08: Epoch [2/25], Step [150/1289], Loss: 0.2279
|
||||
Wed, 14 Sep 2022 10:39:08: Epoch [2/25], Step [200/1289], Loss: 0.3473
|
||||
Wed, 14 Sep 2022 10:39:08: Epoch [2/25], Step [250/1289], Loss: 0.2398
|
||||
Wed, 14 Sep 2022 10:39:09: Epoch [2/25], Step [300/1289], Loss: 0.2706
|
||||
Wed, 14 Sep 2022 10:39:09: Epoch [2/25], Step [350/1289], Loss: 0.2772
|
||||
Wed, 14 Sep 2022 10:39:09: Epoch [2/25], Step [400/1289], Loss: 0.2254
|
||||
Wed, 14 Sep 2022 10:39:09: Epoch [2/25], Step [450/1289], Loss: 0.1917
|
||||
Wed, 14 Sep 2022 10:39:09: Epoch [2/25], Step [500/1289], Loss: 0.2361
|
||||
Wed, 14 Sep 2022 10:39:10: Epoch [2/25], Step [550/1289], Loss: 0.1484
|
||||
Wed, 14 Sep 2022 10:39:10: Epoch [2/25], Step [600/1289], Loss: 0.2363
|
||||
Wed, 14 Sep 2022 10:39:10: Epoch [2/25], Step [650/1289], Loss: 0.1522
|
||||
Wed, 14 Sep 2022 10:39:10: Epoch [2/25], Step [700/1289], Loss: 0.1717
|
||||
Wed, 14 Sep 2022 10:39:10: Epoch [2/25], Step [750/1289], Loss: 0.1560
|
||||
Wed, 14 Sep 2022 10:39:11: Epoch [2/25], Step [800/1289], Loss: 0.3702
|
||||
Wed, 14 Sep 2022 10:39:11: Epoch [2/25], Step [850/1289], Loss: 0.1457
|
||||
Wed, 14 Sep 2022 10:39:11: Epoch [2/25], Step [900/1289], Loss: 0.2300
|
||||
Wed, 14 Sep 2022 10:39:11: Epoch [2/25], Step [950/1289], Loss: 0.1474
|
||||
Wed, 14 Sep 2022 10:39:11: Epoch [2/25], Step [1000/1289], Loss: 0.2415
|
||||
Wed, 14 Sep 2022 10:39:12: Epoch [2/25], Step [1050/1289], Loss: 0.0916
|
||||
Wed, 14 Sep 2022 10:39:12: Epoch [2/25], Step [1100/1289], Loss: 0.1688
|
||||
Wed, 14 Sep 2022 10:39:12: Epoch [2/25], Step [1150/1289], Loss: 0.1781
|
||||
Wed, 14 Sep 2022 10:39:12: Epoch [2/25], Step [1200/1289], Loss: 0.2008
|
||||
Wed, 14 Sep 2022 10:39:12: Epoch [2/25], Step [1250/1289], Loss: 0.1596
|
||||
Wed, 14 Sep 2022 10:39:13: Epoch [3/25], Step [50/1289], Loss: 0.1800
|
||||
Wed, 14 Sep 2022 10:39:13: Epoch [3/25], Step [100/1289], Loss: 0.1178
|
||||
Wed, 14 Sep 2022 10:39:13: Epoch [3/25], Step [150/1289], Loss: 0.1280
|
||||
Wed, 14 Sep 2022 10:39:13: Epoch [3/25], Step [200/1289], Loss: 0.1255
|
||||
Wed, 14 Sep 2022 10:39:14: Epoch [3/25], Step [250/1289], Loss: 0.1904
|
||||
Wed, 14 Sep 2022 10:39:14: Epoch [3/25], Step [300/1289], Loss: 0.1237
|
||||
Wed, 14 Sep 2022 10:39:14: Epoch [3/25], Step [350/1289], Loss: 0.2094
|
||||
Wed, 14 Sep 2022 10:39:14: Epoch [3/25], Step [400/1289], Loss: 0.1786
|
||||
Wed, 14 Sep 2022 10:39:14: Epoch [3/25], Step [450/1289], Loss: 0.0817
|
||||
Wed, 14 Sep 2022 10:39:15: Epoch [3/25], Step [500/1289], Loss: 0.1676
|
||||
Wed, 14 Sep 2022 10:39:15: Epoch [3/25], Step [550/1289], Loss: 0.2952
|
||||
Wed, 14 Sep 2022 10:39:15: Epoch [3/25], Step [600/1289], Loss: 0.0854
|
||||
Wed, 14 Sep 2022 10:39:15: Epoch [3/25], Step [650/1289], Loss: 0.3691
|
||||
Wed, 14 Sep 2022 10:39:15: Epoch [3/25], Step [700/1289], Loss: 0.1765
|
||||
Wed, 14 Sep 2022 10:39:16: Epoch [3/25], Step [750/1289], Loss: 0.1488
|
||||
Wed, 14 Sep 2022 10:39:16: Epoch [3/25], Step [800/1289], Loss: 0.1673
|
||||
Wed, 14 Sep 2022 10:39:16: Epoch [3/25], Step [850/1289], Loss: 0.1280
|
||||
Wed, 14 Sep 2022 10:39:16: Epoch [3/25], Step [900/1289], Loss: 0.1776
|
||||
Wed, 14 Sep 2022 10:39:16: Epoch [3/25], Step [950/1289], Loss: 0.2771
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1000/1289], Loss: 0.1417
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1050/1289], Loss: 0.0940
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1100/1289], Loss: 0.1592
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1150/1289], Loss: 0.1473
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1200/1289], Loss: 0.2341
|
||||
Wed, 14 Sep 2022 10:39:17: Epoch [3/25], Step [1250/1289], Loss: 0.1072
|
||||
Wed, 14 Sep 2022 10:39:18: Epoch [4/25], Step [50/1289], Loss: 0.1524
|
||||
Wed, 14 Sep 2022 10:39:18: Epoch [4/25], Step [100/1289], Loss: 0.1255
|
||||
Wed, 14 Sep 2022 10:39:18: Epoch [4/25], Step [150/1289], Loss: 0.1216
|
||||
Wed, 14 Sep 2022 10:39:18: Epoch [4/25], Step [200/1289], Loss: 0.1576
|
||||
Wed, 14 Sep 2022 10:39:19: Epoch [4/25], Step [250/1289], Loss: 0.1654
|
||||
Wed, 14 Sep 2022 10:39:19: Epoch [4/25], Step [300/1289], Loss: 0.0915
|
||||
Wed, 14 Sep 2022 10:39:19: Epoch [4/25], Step [350/1289], Loss: 0.2551
|
||||
Wed, 14 Sep 2022 10:39:19: Epoch [4/25], Step [400/1289], Loss: 0.0401
|
||||
Wed, 14 Sep 2022 10:39:19: Epoch [4/25], Step [450/1289], Loss: 0.1415
|
||||
Wed, 14 Sep 2022 10:39:20: Epoch [4/25], Step [500/1289], Loss: 0.0692
|
||||
Wed, 14 Sep 2022 10:39:20: Epoch [4/25], Step [550/1289], Loss: 0.1503
|
||||
Wed, 14 Sep 2022 10:39:20: Epoch [4/25], Step [600/1289], Loss: 0.1925
|
||||
Wed, 14 Sep 2022 10:39:20: Epoch [4/25], Step [650/1289], Loss: 0.1433
|
||||
Wed, 14 Sep 2022 10:39:20: Epoch [4/25], Step [700/1289], Loss: 0.1081
|
||||
Wed, 14 Sep 2022 10:39:21: Epoch [4/25], Step [750/1289], Loss: 0.2122
|
||||
Wed, 14 Sep 2022 10:39:21: Epoch [4/25], Step [800/1289], Loss: 0.1704
|
||||
Wed, 14 Sep 2022 10:39:21: Epoch [4/25], Step [850/1289], Loss: 0.1671
|
||||
Wed, 14 Sep 2022 10:39:21: Epoch [4/25], Step [900/1289], Loss: 0.1468
|
||||
Wed, 14 Sep 2022 10:39:21: Epoch [4/25], Step [950/1289], Loss: 0.1037
|
||||
Wed, 14 Sep 2022 10:39:22: Epoch [4/25], Step [1000/1289], Loss: 0.0960
|
||||
Wed, 14 Sep 2022 10:39:22: Epoch [4/25], Step [1050/1289], Loss: 0.1862
|
||||
Wed, 14 Sep 2022 10:39:22: Epoch [4/25], Step [1100/1289], Loss: 0.1001
|
||||
Wed, 14 Sep 2022 10:39:22: Epoch [4/25], Step [1150/1289], Loss: 0.1214
|
||||
Wed, 14 Sep 2022 10:39:22: Epoch [4/25], Step [1200/1289], Loss: 0.0807
|
||||
Wed, 14 Sep 2022 10:39:23: Epoch [4/25], Step [1250/1289], Loss: 0.0632
|
||||
Wed, 14 Sep 2022 10:39:23: Epoch [5/25], Step [50/1289], Loss: 0.0678
|
||||
Wed, 14 Sep 2022 10:39:23: Epoch [5/25], Step [100/1289], Loss: 0.2352
|
||||
Wed, 14 Sep 2022 10:39:23: Epoch [5/25], Step [150/1289], Loss: 0.1620
|
||||
Wed, 14 Sep 2022 10:39:24: Epoch [5/25], Step [200/1289], Loss: 0.1068
|
||||
Wed, 14 Sep 2022 10:39:24: Epoch [5/25], Step [250/1289], Loss: 0.1686
|
||||
Wed, 14 Sep 2022 10:39:24: Epoch [5/25], Step [300/1289], Loss: 0.1192
|
||||
Wed, 14 Sep 2022 10:39:24: Epoch [5/25], Step [350/1289], Loss: 0.1040
|
||||
Wed, 14 Sep 2022 10:39:24: Epoch [5/25], Step [400/1289], Loss: 0.1507
|
||||
Wed, 14 Sep 2022 10:39:25: Epoch [5/25], Step [450/1289], Loss: 0.1720
|
||||
Wed, 14 Sep 2022 10:39:25: Epoch [5/25], Step [500/1289], Loss: 0.2169
|
||||
Wed, 14 Sep 2022 10:39:25: Epoch [5/25], Step [550/1289], Loss: 0.1554
|
||||
Wed, 14 Sep 2022 10:39:25: Epoch [5/25], Step [600/1289], Loss: 0.0734
|
||||
Wed, 14 Sep 2022 10:39:25: Epoch [5/25], Step [650/1289], Loss: 0.2205
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [700/1289], Loss: 0.1321
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [750/1289], Loss: 0.1454
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [800/1289], Loss: 0.1738
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [850/1289], Loss: 0.0700
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [900/1289], Loss: 0.1403
|
||||
Wed, 14 Sep 2022 10:39:26: Epoch [5/25], Step [950/1289], Loss: 0.1345
|
||||
Wed, 14 Sep 2022 10:39:27: Epoch [5/25], Step [1000/1289], Loss: 0.1083
|
||||
Wed, 14 Sep 2022 10:39:27: Epoch [5/25], Step [1050/1289], Loss: 0.0863
|
||||
Wed, 14 Sep 2022 10:39:27: Epoch [5/25], Step [1100/1289], Loss: 0.1413
|
||||
Wed, 14 Sep 2022 10:39:27: Epoch [5/25], Step [1150/1289], Loss: 0.1210
|
||||
Wed, 14 Sep 2022 10:39:27: Epoch [5/25], Step [1200/1289], Loss: 0.0872
|
||||
Wed, 14 Sep 2022 10:39:28: Epoch [5/25], Step [1250/1289], Loss: 0.0572
|
||||
Wed, 14 Sep 2022 10:39:28: Epoch [6/25], Step [50/1289], Loss: 0.1784
|
||||
Wed, 14 Sep 2022 10:39:28: Epoch [6/25], Step [100/1289], Loss: 0.1122
|
||||
Wed, 14 Sep 2022 10:39:28: Epoch [6/25], Step [150/1289], Loss: 0.1782
|
||||
Wed, 14 Sep 2022 10:39:29: Epoch [6/25], Step [200/1289], Loss: 0.2089
|
||||
Wed, 14 Sep 2022 10:39:29: Epoch [6/25], Step [250/1289], Loss: 0.1232
|
||||
Wed, 14 Sep 2022 10:39:29: Epoch [6/25], Step [300/1289], Loss: 0.1262
|
||||
Wed, 14 Sep 2022 10:39:29: Epoch [6/25], Step [350/1289], Loss: 0.1279
|
||||
Wed, 14 Sep 2022 10:39:29: Epoch [6/25], Step [400/1289], Loss: 0.2087
|
||||
Wed, 14 Sep 2022 10:39:30: Epoch [6/25], Step [450/1289], Loss: 0.0905
|
||||
Wed, 14 Sep 2022 10:39:30: Epoch [6/25], Step [500/1289], Loss: 0.0521
|
||||
Wed, 14 Sep 2022 10:39:30: Epoch [6/25], Step [550/1289], Loss: 0.0489
|
||||
Wed, 14 Sep 2022 10:39:30: Epoch [6/25], Step [600/1289], Loss: 0.1147
|
||||
Wed, 14 Sep 2022 10:39:30: Epoch [6/25], Step [650/1289], Loss: 0.0650
|
||||
Wed, 14 Sep 2022 10:39:31: Epoch [6/25], Step [700/1289], Loss: 0.1093
|
||||
Wed, 14 Sep 2022 10:39:31: Epoch [6/25], Step [750/1289], Loss: 0.2427
|
||||
Wed, 14 Sep 2022 10:39:31: Epoch [6/25], Step [800/1289], Loss: 0.1465
|
||||
Wed, 14 Sep 2022 10:39:31: Epoch [6/25], Step [850/1289], Loss: 0.1223
|
||||
Wed, 14 Sep 2022 10:39:31: Epoch [6/25], Step [900/1289], Loss: 0.0714
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [950/1289], Loss: 0.1154
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [1000/1289], Loss: 0.1053
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [1050/1289], Loss: 0.1408
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [1100/1289], Loss: 0.0770
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [1150/1289], Loss: 0.0537
|
||||
Wed, 14 Sep 2022 10:39:32: Epoch [6/25], Step [1200/1289], Loss: 0.1053
|
||||
Wed, 14 Sep 2022 10:39:33: Epoch [6/25], Step [1250/1289], Loss: 0.1522
|
||||
Wed, 14 Sep 2022 10:39:33: Epoch [7/25], Step [50/1289], Loss: 0.0613
|
||||
Wed, 14 Sep 2022 10:39:33: Epoch [7/25], Step [100/1289], Loss: 0.1031
|
||||
Wed, 14 Sep 2022 10:39:33: Epoch [7/25], Step [150/1289], Loss: 0.2075
|
||||
Wed, 14 Sep 2022 10:39:34: Epoch [7/25], Step [200/1289], Loss: 0.1071
|
||||
Wed, 14 Sep 2022 10:39:34: Epoch [7/25], Step [250/1289], Loss: 0.2516
|
||||
Wed, 14 Sep 2022 10:39:34: Epoch [7/25], Step [300/1289], Loss: 0.1841
|
||||
Wed, 14 Sep 2022 10:39:34: Epoch [7/25], Step [350/1289], Loss: 0.1021
|
||||
Wed, 14 Sep 2022 10:39:34: Epoch [7/25], Step [400/1289], Loss: 0.0566
|
||||
Wed, 14 Sep 2022 10:39:35: Epoch [7/25], Step [450/1289], Loss: 0.0936
|
||||
Wed, 14 Sep 2022 10:39:35: Epoch [7/25], Step [500/1289], Loss: 0.1361
|
||||
Wed, 14 Sep 2022 10:39:35: Epoch [7/25], Step [550/1289], Loss: 0.1421
|
||||
Wed, 14 Sep 2022 10:39:35: Epoch [7/25], Step [600/1289], Loss: 0.0987
|
||||
Wed, 14 Sep 2022 10:39:35: Epoch [7/25], Step [650/1289], Loss: 0.0994
|
||||
Wed, 14 Sep 2022 10:39:36: Epoch [7/25], Step [700/1289], Loss: 0.2573
|
||||
Wed, 14 Sep 2022 10:39:36: Epoch [7/25], Step [750/1289], Loss: 0.2228
|
||||
Wed, 14 Sep 2022 10:39:36: Epoch [7/25], Step [800/1289], Loss: 0.0822
|
||||
Wed, 14 Sep 2022 10:39:36: Epoch [7/25], Step [850/1289], Loss: 0.1224
|
||||
Wed, 14 Sep 2022 10:39:36: Epoch [7/25], Step [900/1289], Loss: 0.2362
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [950/1289], Loss: 0.1352
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [1000/1289], Loss: 0.2183
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [1050/1289], Loss: 0.0950
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [1100/1289], Loss: 0.1045
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [1150/1289], Loss: 0.0321
|
||||
Wed, 14 Sep 2022 10:39:37: Epoch [7/25], Step [1200/1289], Loss: 0.1350
|
||||
Wed, 14 Sep 2022 10:39:38: Epoch [7/25], Step [1250/1289], Loss: 0.0821
|
||||
Wed, 14 Sep 2022 10:39:38: Epoch [8/25], Step [50/1289], Loss: 0.2234
|
||||
Wed, 14 Sep 2022 10:39:38: Epoch [8/25], Step [100/1289], Loss: 0.1136
|
||||
Wed, 14 Sep 2022 10:39:38: Epoch [8/25], Step [150/1289], Loss: 0.1642
|
||||
Wed, 14 Sep 2022 10:39:39: Epoch [8/25], Step [200/1289], Loss: 0.2131
|
||||
Wed, 14 Sep 2022 10:39:39: Epoch [8/25], Step [250/1289], Loss: 0.0409
|
||||
Wed, 14 Sep 2022 10:39:39: Epoch [8/25], Step [300/1289], Loss: 0.1055
|
||||
Wed, 14 Sep 2022 10:39:39: Epoch [8/25], Step [350/1289], Loss: 0.0664
|
||||
Wed, 14 Sep 2022 10:39:39: Epoch [8/25], Step [400/1289], Loss: 0.0899
|
||||
Wed, 14 Sep 2022 10:39:40: Epoch [8/25], Step [450/1289], Loss: 0.1675
|
||||
Wed, 14 Sep 2022 10:39:40: Epoch [8/25], Step [500/1289], Loss: 0.1715
|
||||
Wed, 14 Sep 2022 10:39:40: Epoch [8/25], Step [550/1289], Loss: 0.1040
|
||||
Wed, 14 Sep 2022 10:39:40: Epoch [8/25], Step [600/1289], Loss: 0.0606
|
||||
Wed, 14 Sep 2022 10:39:40: Epoch [8/25], Step [650/1289], Loss: 0.0538
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [700/1289], Loss: 0.1128
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [750/1289], Loss: 0.0535
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [800/1289], Loss: 0.0514
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [850/1289], Loss: 0.1444
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [900/1289], Loss: 0.1282
|
||||
Wed, 14 Sep 2022 10:39:41: Epoch [8/25], Step [950/1289], Loss: 0.1617
|
||||
Wed, 14 Sep 2022 10:39:42: Epoch [8/25], Step [1000/1289], Loss: 0.1287
|
||||
Wed, 14 Sep 2022 10:39:42: Epoch [8/25], Step [1050/1289], Loss: 0.1897
|
||||
Wed, 14 Sep 2022 10:39:42: Epoch [8/25], Step [1100/1289], Loss: 0.0925
|
||||
Wed, 14 Sep 2022 10:39:42: Epoch [8/25], Step [1150/1289], Loss: 0.0798
|
||||
Wed, 14 Sep 2022 10:39:42: Epoch [8/25], Step [1200/1289], Loss: 0.1208
|
||||
Wed, 14 Sep 2022 10:39:43: Epoch [8/25], Step [1250/1289], Loss: 0.1196
|
||||
Wed, 14 Sep 2022 10:39:43: Epoch [9/25], Step [50/1289], Loss: 0.0644
|
||||
Wed, 14 Sep 2022 10:39:43: Epoch [9/25], Step [100/1289], Loss: 0.1317
|
||||
Wed, 14 Sep 2022 10:39:43: Epoch [9/25], Step [150/1289], Loss: 0.0937
|
||||
Wed, 14 Sep 2022 10:39:44: Epoch [9/25], Step [200/1289], Loss: 0.2061
|
||||
Wed, 14 Sep 2022 10:39:44: Epoch [9/25], Step [250/1289], Loss: 0.1157
|
||||
Wed, 14 Sep 2022 10:39:44: Epoch [9/25], Step [300/1289], Loss: 0.1490
|
||||
Wed, 14 Sep 2022 10:39:44: Epoch [9/25], Step [350/1289], Loss: 0.0952
|
||||
Wed, 14 Sep 2022 10:39:44: Epoch [9/25], Step [400/1289], Loss: 0.0769
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [450/1289], Loss: 0.1451
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [500/1289], Loss: 0.0796
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [550/1289], Loss: 0.1727
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [600/1289], Loss: 0.0968
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [650/1289], Loss: 0.0827
|
||||
Wed, 14 Sep 2022 10:39:45: Epoch [9/25], Step [700/1289], Loss: 0.0782
|
||||
Wed, 14 Sep 2022 10:39:46: Epoch [9/25], Step [750/1289], Loss: 0.2659
|
||||
Wed, 14 Sep 2022 10:39:46: Epoch [9/25], Step [800/1289], Loss: 0.1267
|
||||
Wed, 14 Sep 2022 10:39:46: Epoch [9/25], Step [850/1289], Loss: 0.2555
|
||||
Wed, 14 Sep 2022 10:39:46: Epoch [9/25], Step [900/1289], Loss: 0.0736
|
||||
Wed, 14 Sep 2022 10:39:46: Epoch [9/25], Step [950/1289], Loss: 0.0883
|
||||
Wed, 14 Sep 2022 10:39:47: Epoch [9/25], Step [1000/1289], Loss: 0.0443
|
||||
Wed, 14 Sep 2022 10:39:47: Epoch [9/25], Step [1050/1289], Loss: 0.0650
|
||||
Wed, 14 Sep 2022 10:39:47: Epoch [9/25], Step [1100/1289], Loss: 0.1264
|
||||
Wed, 14 Sep 2022 10:39:47: Epoch [9/25], Step [1150/1289], Loss: 0.1194
|
||||
Wed, 14 Sep 2022 10:39:47: Epoch [9/25], Step [1200/1289], Loss: 0.0694
|
||||
Wed, 14 Sep 2022 10:39:48: Epoch [9/25], Step [1250/1289], Loss: 0.0814
|
||||
Wed, 14 Sep 2022 10:39:48: Epoch [10/25], Step [50/1289], Loss: 0.0890
|
||||
Wed, 14 Sep 2022 10:39:48: Epoch [10/25], Step [100/1289], Loss: 0.1116
|
||||
Wed, 14 Sep 2022 10:39:48: Epoch [10/25], Step [150/1289], Loss: 0.1560
|
||||
Wed, 14 Sep 2022 10:39:49: Epoch [10/25], Step [200/1289], Loss: 0.1156
|
||||
Wed, 14 Sep 2022 10:39:49: Epoch [10/25], Step [250/1289], Loss: 0.0746
|
||||
Wed, 14 Sep 2022 10:39:49: Epoch [10/25], Step [300/1289], Loss: 0.0836
|
||||
Wed, 14 Sep 2022 10:39:49: Epoch [10/25], Step [350/1289], Loss: 0.1219
|
||||
Wed, 14 Sep 2022 10:39:49: Epoch [10/25], Step [400/1289], Loss: 0.0378
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [450/1289], Loss: 0.1634
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [500/1289], Loss: 0.0507
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [550/1289], Loss: 0.0449
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [600/1289], Loss: 0.0336
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [650/1289], Loss: 0.1068
|
||||
Wed, 14 Sep 2022 10:39:50: Epoch [10/25], Step [700/1289], Loss: 0.0926
|
||||
Wed, 14 Sep 2022 10:39:51: Epoch [10/25], Step [750/1289], Loss: 0.1335
|
||||
Wed, 14 Sep 2022 10:39:51: Epoch [10/25], Step [800/1289], Loss: 0.0823
|
||||
Wed, 14 Sep 2022 10:39:51: Epoch [10/25], Step [850/1289], Loss: 0.0725
|
||||
Wed, 14 Sep 2022 10:39:51: Epoch [10/25], Step [900/1289], Loss: 0.1766
|
||||
Wed, 14 Sep 2022 10:39:51: Epoch [10/25], Step [950/1289], Loss: 0.0735
|
||||
Wed, 14 Sep 2022 10:39:52: Epoch [10/25], Step [1000/1289], Loss: 0.0599
|
||||
Wed, 14 Sep 2022 10:39:52: Epoch [10/25], Step [1050/1289], Loss: 0.1746
|
||||
Wed, 14 Sep 2022 10:39:52: Epoch [10/25], Step [1100/1289], Loss: 0.1966
|
||||
Wed, 14 Sep 2022 10:39:52: Epoch [10/25], Step [1150/1289], Loss: 0.1022
|
||||
Wed, 14 Sep 2022 10:39:52: Epoch [10/25], Step [1200/1289], Loss: 0.1198
|
||||
Wed, 14 Sep 2022 10:39:53: Epoch [10/25], Step [1250/1289], Loss: 0.0923
|
||||
Wed, 14 Sep 2022 10:39:53: Epoch [11/25], Step [50/1289], Loss: 0.0871
|
||||
Wed, 14 Sep 2022 10:39:53: Epoch [11/25], Step [100/1289], Loss: 0.0691
|
||||
Wed, 14 Sep 2022 10:39:53: Epoch [11/25], Step [150/1289], Loss: 0.2029
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [200/1289], Loss: 0.1339
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [250/1289], Loss: 0.0732
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [300/1289], Loss: 0.1090
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [350/1289], Loss: 0.1864
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [400/1289], Loss: 0.0697
|
||||
Wed, 14 Sep 2022 10:39:54: Epoch [11/25], Step [450/1289], Loss: 0.1610
|
||||
Wed, 14 Sep 2022 10:39:55: Epoch [11/25], Step [500/1289], Loss: 0.0768
|
||||
Wed, 14 Sep 2022 10:39:55: Epoch [11/25], Step [550/1289], Loss: 0.0597
|
||||
Wed, 14 Sep 2022 10:39:55: Epoch [11/25], Step [600/1289], Loss: 0.0497
|
||||
Wed, 14 Sep 2022 10:39:55: Epoch [11/25], Step [650/1289], Loss: 0.1825
|
||||
Wed, 14 Sep 2022 10:39:55: Epoch [11/25], Step [700/1289], Loss: 0.0925
|
||||
Wed, 14 Sep 2022 10:39:56: Epoch [11/25], Step [750/1289], Loss: 0.1105
|
||||
Wed, 14 Sep 2022 10:39:56: Epoch [11/25], Step [800/1289], Loss: 0.0952
|
||||
Wed, 14 Sep 2022 10:39:56: Epoch [11/25], Step [850/1289], Loss: 0.0775
|
||||
Wed, 14 Sep 2022 10:39:56: Epoch [11/25], Step [900/1289], Loss: 0.0387
|
||||
Wed, 14 Sep 2022 10:39:56: Epoch [11/25], Step [950/1289], Loss: 0.0855
|
||||
Wed, 14 Sep 2022 10:39:57: Epoch [11/25], Step [1000/1289], Loss: 0.0377
|
||||
Wed, 14 Sep 2022 10:39:57: Epoch [11/25], Step [1050/1289], Loss: 0.1461
|
||||
Wed, 14 Sep 2022 10:39:57: Epoch [11/25], Step [1100/1289], Loss: 0.1177
|
||||
Wed, 14 Sep 2022 10:39:57: Epoch [11/25], Step [1150/1289], Loss: 0.1102
|
||||
Wed, 14 Sep 2022 10:39:57: Epoch [11/25], Step [1200/1289], Loss: 0.0459
|
||||
Wed, 14 Sep 2022 10:39:58: Epoch [11/25], Step [1250/1289], Loss: 0.0470
|
||||
Wed, 14 Sep 2022 10:39:58: Epoch [12/25], Step [50/1289], Loss: 0.0148
|
||||
Wed, 14 Sep 2022 10:39:58: Epoch [12/25], Step [100/1289], Loss: 0.0461
|
||||
Wed, 14 Sep 2022 10:39:58: Epoch [12/25], Step [150/1289], Loss: 0.0556
|
||||
Wed, 14 Sep 2022 10:39:58: Epoch [12/25], Step [200/1289], Loss: 0.0953
|
||||
Wed, 14 Sep 2022 10:39:59: Epoch [12/25], Step [250/1289], Loss: 0.0585
|
||||
Wed, 14 Sep 2022 10:39:59: Epoch [12/25], Step [300/1289], Loss: 0.0669
|
||||
Wed, 14 Sep 2022 10:39:59: Epoch [12/25], Step [350/1289], Loss: 0.1086
|
||||
Wed, 14 Sep 2022 10:39:59: Epoch [12/25], Step [400/1289], Loss: 0.1577
|
||||
Wed, 14 Sep 2022 10:39:59: Epoch [12/25], Step [450/1289], Loss: 0.0830
|
||||
Wed, 14 Sep 2022 10:40:00: Epoch [12/25], Step [500/1289], Loss: 0.0729
|
||||
Wed, 14 Sep 2022 10:40:00: Epoch [12/25], Step [550/1289], Loss: 0.0919
|
||||
Wed, 14 Sep 2022 10:40:00: Epoch [12/25], Step [600/1289], Loss: 0.0713
|
||||
Wed, 14 Sep 2022 10:40:00: Epoch [12/25], Step [650/1289], Loss: 0.0726
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [700/1289], Loss: 0.0954
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [750/1289], Loss: 0.0488
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [800/1289], Loss: 0.1058
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [850/1289], Loss: 0.0589
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [900/1289], Loss: 0.0993
|
||||
Wed, 14 Sep 2022 10:40:01: Epoch [12/25], Step [950/1289], Loss: 0.0797
|
||||
Wed, 14 Sep 2022 10:40:02: Epoch [12/25], Step [1000/1289], Loss: 0.1520
|
||||
Wed, 14 Sep 2022 10:40:02: Epoch [12/25], Step [1050/1289], Loss: 0.0733
|
||||
Wed, 14 Sep 2022 10:40:02: Epoch [12/25], Step [1100/1289], Loss: 0.1616
|
||||
Wed, 14 Sep 2022 10:40:02: Epoch [12/25], Step [1150/1289], Loss: 0.1401
|
||||
Wed, 14 Sep 2022 10:40:02: Epoch [12/25], Step [1200/1289], Loss: 0.0826
|
||||
Wed, 14 Sep 2022 10:40:03: Epoch [12/25], Step [1250/1289], Loss: 0.0906
|
||||
Wed, 14 Sep 2022 10:40:03: Epoch [13/25], Step [50/1289], Loss: 0.0549
|
||||
Wed, 14 Sep 2022 10:40:03: Epoch [13/25], Step [100/1289], Loss: 0.1332
|
||||
Wed, 14 Sep 2022 10:40:03: Epoch [13/25], Step [150/1289], Loss: 0.0642
|
||||
Wed, 14 Sep 2022 10:40:04: Epoch [13/25], Step [200/1289], Loss: 0.0795
|
||||
Wed, 14 Sep 2022 10:40:04: Epoch [13/25], Step [250/1289], Loss: 0.2300
|
||||
Wed, 14 Sep 2022 10:40:04: Epoch [13/25], Step [300/1289], Loss: 0.0941
|
||||
Wed, 14 Sep 2022 10:40:04: Epoch [13/25], Step [350/1289], Loss: 0.0509
|
||||
Wed, 14 Sep 2022 10:40:04: Epoch [13/25], Step [400/1289], Loss: 0.1060
|
||||
Wed, 14 Sep 2022 10:40:05: Epoch [13/25], Step [450/1289], Loss: 0.1570
|
||||
Wed, 14 Sep 2022 10:40:05: Epoch [13/25], Step [500/1289], Loss: 0.1964
|
||||
Wed, 14 Sep 2022 10:40:05: Epoch [13/25], Step [550/1289], Loss: 0.0892
|
||||
Wed, 14 Sep 2022 10:40:05: Epoch [13/25], Step [600/1289], Loss: 0.1374
|
||||
Wed, 14 Sep 2022 10:40:05: Epoch [13/25], Step [650/1289], Loss: 0.0648
|
||||
Wed, 14 Sep 2022 10:40:06: Epoch [13/25], Step [700/1289], Loss: 0.0959
|
||||
Wed, 14 Sep 2022 10:40:06: Epoch [13/25], Step [750/1289], Loss: 0.0582
|
||||
Wed, 14 Sep 2022 10:40:06: Epoch [13/25], Step [800/1289], Loss: 0.0868
|
||||
Wed, 14 Sep 2022 10:40:06: Epoch [13/25], Step [850/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 10:40:06: Epoch [13/25], Step [900/1289], Loss: 0.0976
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [950/1289], Loss: 0.0477
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [1000/1289], Loss: 0.0613
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [1050/1289], Loss: 0.0753
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [1100/1289], Loss: 0.0768
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [1150/1289], Loss: 0.0999
|
||||
Wed, 14 Sep 2022 10:40:07: Epoch [13/25], Step [1200/1289], Loss: 0.0522
|
||||
Wed, 14 Sep 2022 10:40:08: Epoch [13/25], Step [1250/1289], Loss: 0.1027
|
||||
Wed, 14 Sep 2022 10:40:08: Epoch [14/25], Step [50/1289], Loss: 0.0638
|
||||
Wed, 14 Sep 2022 10:40:08: Epoch [14/25], Step [100/1289], Loss: 0.1155
|
||||
Wed, 14 Sep 2022 10:40:08: Epoch [14/25], Step [150/1289], Loss: 0.1252
|
||||
Wed, 14 Sep 2022 10:40:09: Epoch [14/25], Step [200/1289], Loss: 0.0955
|
||||
Wed, 14 Sep 2022 10:40:09: Epoch [14/25], Step [250/1289], Loss: 0.1853
|
||||
Wed, 14 Sep 2022 10:40:09: Epoch [14/25], Step [300/1289], Loss: 0.0673
|
||||
Wed, 14 Sep 2022 10:40:09: Epoch [14/25], Step [350/1289], Loss: 0.0779
|
||||
Wed, 14 Sep 2022 10:40:09: Epoch [14/25], Step [400/1289], Loss: 0.0840
|
||||
Wed, 14 Sep 2022 10:40:10: Epoch [14/25], Step [450/1289], Loss: 0.0415
|
||||
Wed, 14 Sep 2022 10:40:10: Epoch [14/25], Step [500/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 10:40:10: Epoch [14/25], Step [550/1289], Loss: 0.0458
|
||||
Wed, 14 Sep 2022 10:40:10: Epoch [14/25], Step [600/1289], Loss: 0.0756
|
||||
Wed, 14 Sep 2022 10:40:10: Epoch [14/25], Step [650/1289], Loss: 0.0611
|
||||
Wed, 14 Sep 2022 10:40:11: Epoch [14/25], Step [700/1289], Loss: 0.0859
|
||||
Wed, 14 Sep 2022 10:40:11: Epoch [14/25], Step [750/1289], Loss: 0.1172
|
||||
Wed, 14 Sep 2022 10:40:11: Epoch [14/25], Step [800/1289], Loss: 0.0392
|
||||
Wed, 14 Sep 2022 10:40:11: Epoch [14/25], Step [850/1289], Loss: 0.0448
|
||||
Wed, 14 Sep 2022 10:40:11: Epoch [14/25], Step [900/1289], Loss: 0.0870
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [950/1289], Loss: 0.1330
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [1000/1289], Loss: 0.1025
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [1050/1289], Loss: 0.0583
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [1100/1289], Loss: 0.0424
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [1150/1289], Loss: 0.0480
|
||||
Wed, 14 Sep 2022 10:40:12: Epoch [14/25], Step [1200/1289], Loss: 0.0533
|
||||
Wed, 14 Sep 2022 10:40:13: Epoch [14/25], Step [1250/1289], Loss: 0.0538
|
||||
Wed, 14 Sep 2022 10:40:13: Epoch [15/25], Step [50/1289], Loss: 0.0378
|
||||
Wed, 14 Sep 2022 10:40:13: Epoch [15/25], Step [100/1289], Loss: 0.0352
|
||||
Wed, 14 Sep 2022 10:40:13: Epoch [15/25], Step [150/1289], Loss: 0.1050
|
||||
Wed, 14 Sep 2022 10:40:14: Epoch [15/25], Step [200/1289], Loss: 0.0905
|
||||
Wed, 14 Sep 2022 10:40:14: Epoch [15/25], Step [250/1289], Loss: 0.1273
|
||||
Wed, 14 Sep 2022 10:40:14: Epoch [15/25], Step [300/1289], Loss: 0.0341
|
||||
Wed, 14 Sep 2022 10:40:14: Epoch [15/25], Step [350/1289], Loss: 0.0146
|
||||
Wed, 14 Sep 2022 10:40:14: Epoch [15/25], Step [400/1289], Loss: 0.0871
|
||||
Wed, 14 Sep 2022 10:40:15: Epoch [15/25], Step [450/1289], Loss: 0.0418
|
||||
Wed, 14 Sep 2022 10:40:15: Epoch [15/25], Step [500/1289], Loss: 0.0603
|
||||
Wed, 14 Sep 2022 10:40:15: Epoch [15/25], Step [550/1289], Loss: 0.0778
|
||||
Wed, 14 Sep 2022 10:40:15: Epoch [15/25], Step [600/1289], Loss: 0.0799
|
||||
Wed, 14 Sep 2022 10:40:15: Epoch [15/25], Step [650/1289], Loss: 0.0462
|
||||
Wed, 14 Sep 2022 10:40:16: Epoch [15/25], Step [700/1289], Loss: 0.0297
|
||||
Wed, 14 Sep 2022 10:40:16: Epoch [15/25], Step [750/1289], Loss: 0.1254
|
||||
Wed, 14 Sep 2022 10:40:16: Epoch [15/25], Step [800/1289], Loss: 0.0929
|
||||
Wed, 14 Sep 2022 10:40:16: Epoch [15/25], Step [850/1289], Loss: 0.0351
|
||||
Wed, 14 Sep 2022 10:40:16: Epoch [15/25], Step [900/1289], Loss: 0.1171
|
||||
Wed, 14 Sep 2022 10:40:17: Epoch [15/25], Step [950/1289], Loss: 0.1605
|
||||
Wed, 14 Sep 2022 10:40:17: Epoch [15/25], Step [1000/1289], Loss: 0.0798
|
||||
Wed, 14 Sep 2022 10:40:17: Epoch [15/25], Step [1050/1289], Loss: 0.0875
|
||||
Wed, 14 Sep 2022 10:40:17: Epoch [15/25], Step [1100/1289], Loss: 0.0697
|
||||
Wed, 14 Sep 2022 10:40:18: Epoch [15/25], Step [1150/1289], Loss: 0.1227
|
||||
Wed, 14 Sep 2022 10:40:18: Epoch [15/25], Step [1200/1289], Loss: 0.0626
|
||||
Wed, 14 Sep 2022 10:40:18: Epoch [15/25], Step [1250/1289], Loss: 0.0700
|
||||
Wed, 14 Sep 2022 10:40:18: Epoch [16/25], Step [50/1289], Loss: 0.0623
|
||||
Wed, 14 Sep 2022 10:40:19: Epoch [16/25], Step [100/1289], Loss: 0.0470
|
||||
Wed, 14 Sep 2022 10:40:19: Epoch [16/25], Step [150/1289], Loss: 0.0376
|
||||
Wed, 14 Sep 2022 10:40:19: Epoch [16/25], Step [200/1289], Loss: 0.0521
|
||||
Wed, 14 Sep 2022 10:40:19: Epoch [16/25], Step [250/1289], Loss: 0.0823
|
||||
Wed, 14 Sep 2022 10:40:20: Epoch [16/25], Step [300/1289], Loss: 0.0736
|
||||
Wed, 14 Sep 2022 10:40:20: Epoch [16/25], Step [350/1289], Loss: 0.0795
|
||||
Wed, 14 Sep 2022 10:40:20: Epoch [16/25], Step [400/1289], Loss: 0.0583
|
||||
Wed, 14 Sep 2022 10:40:20: Epoch [16/25], Step [450/1289], Loss: 0.0345
|
||||
Wed, 14 Sep 2022 10:40:21: Epoch [16/25], Step [500/1289], Loss: 0.1671
|
||||
Wed, 14 Sep 2022 10:40:21: Epoch [16/25], Step [550/1289], Loss: 0.0399
|
||||
Wed, 14 Sep 2022 10:40:21: Epoch [16/25], Step [600/1289], Loss: 0.0630
|
||||
Wed, 14 Sep 2022 10:40:21: Epoch [16/25], Step [650/1289], Loss: 0.0513
|
||||
Wed, 14 Sep 2022 10:40:22: Epoch [16/25], Step [700/1289], Loss: 0.2279
|
||||
Wed, 14 Sep 2022 10:40:22: Epoch [16/25], Step [750/1289], Loss: 0.0860
|
||||
Wed, 14 Sep 2022 10:40:22: Epoch [16/25], Step [800/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 10:40:22: Epoch [16/25], Step [850/1289], Loss: 0.1445
|
||||
Wed, 14 Sep 2022 10:40:23: Epoch [16/25], Step [900/1289], Loss: 0.1242
|
||||
Wed, 14 Sep 2022 10:40:23: Epoch [16/25], Step [950/1289], Loss: 0.0125
|
||||
Wed, 14 Sep 2022 10:40:23: Epoch [16/25], Step [1000/1289], Loss: 0.0642
|
||||
Wed, 14 Sep 2022 10:40:23: Epoch [16/25], Step [1050/1289], Loss: 0.1222
|
||||
Wed, 14 Sep 2022 10:40:24: Epoch [16/25], Step [1100/1289], Loss: 0.1497
|
||||
Wed, 14 Sep 2022 10:40:24: Epoch [16/25], Step [1150/1289], Loss: 0.1119
|
||||
Wed, 14 Sep 2022 10:40:24: Epoch [16/25], Step [1200/1289], Loss: 0.0653
|
||||
Wed, 14 Sep 2022 10:40:24: Epoch [16/25], Step [1250/1289], Loss: 0.0873
|
||||
Wed, 14 Sep 2022 10:40:25: Epoch [17/25], Step [50/1289], Loss: 0.0954
|
||||
Wed, 14 Sep 2022 10:40:25: Epoch [17/25], Step [100/1289], Loss: 0.0656
|
||||
Wed, 14 Sep 2022 10:40:25: Epoch [17/25], Step [150/1289], Loss: 0.1111
|
||||
Wed, 14 Sep 2022 10:40:26: Epoch [17/25], Step [200/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 10:40:26: Epoch [17/25], Step [250/1289], Loss: 0.0702
|
||||
Wed, 14 Sep 2022 10:40:26: Epoch [17/25], Step [300/1289], Loss: 0.0516
|
||||
Wed, 14 Sep 2022 10:40:26: Epoch [17/25], Step [350/1289], Loss: 0.1251
|
||||
Wed, 14 Sep 2022 10:40:27: Epoch [17/25], Step [400/1289], Loss: 0.0257
|
||||
Wed, 14 Sep 2022 10:40:27: Epoch [17/25], Step [450/1289], Loss: 0.1291
|
||||
Wed, 14 Sep 2022 10:40:27: Epoch [17/25], Step [500/1289], Loss: 0.0649
|
||||
Wed, 14 Sep 2022 10:40:27: Epoch [17/25], Step [550/1289], Loss: 0.0596
|
||||
Wed, 14 Sep 2022 10:40:27: Epoch [17/25], Step [600/1289], Loss: 0.0347
|
||||
Wed, 14 Sep 2022 10:40:28: Epoch [17/25], Step [650/1289], Loss: 0.0332
|
||||
Wed, 14 Sep 2022 10:40:28: Epoch [17/25], Step [700/1289], Loss: 0.0260
|
||||
Wed, 14 Sep 2022 10:40:28: Epoch [17/25], Step [750/1289], Loss: 0.0476
|
||||
Wed, 14 Sep 2022 10:40:28: Epoch [17/25], Step [800/1289], Loss: 0.0913
|
||||
Wed, 14 Sep 2022 10:40:29: Epoch [17/25], Step [850/1289], Loss: 0.0568
|
||||
Wed, 14 Sep 2022 10:40:29: Epoch [17/25], Step [900/1289], Loss: 0.0822
|
||||
Wed, 14 Sep 2022 10:40:29: Epoch [17/25], Step [950/1289], Loss: 0.0377
|
||||
Wed, 14 Sep 2022 10:40:29: Epoch [17/25], Step [1000/1289], Loss: 0.0141
|
||||
Wed, 14 Sep 2022 10:40:30: Epoch [17/25], Step [1050/1289], Loss: 0.0680
|
||||
Wed, 14 Sep 2022 10:40:30: Epoch [17/25], Step [1100/1289], Loss: 0.1346
|
||||
Wed, 14 Sep 2022 10:40:30: Epoch [17/25], Step [1150/1289], Loss: 0.1029
|
||||
Wed, 14 Sep 2022 10:40:30: Epoch [17/25], Step [1200/1289], Loss: 0.0761
|
||||
Wed, 14 Sep 2022 10:40:30: Epoch [17/25], Step [1250/1289], Loss: 0.0269
|
||||
Wed, 14 Sep 2022 10:40:31: Epoch [18/25], Step [50/1289], Loss: 0.1012
|
||||
Wed, 14 Sep 2022 10:40:31: Epoch [18/25], Step [100/1289], Loss: 0.0681
|
||||
Wed, 14 Sep 2022 10:40:31: Epoch [18/25], Step [150/1289], Loss: 0.1333
|
||||
Wed, 14 Sep 2022 10:40:32: Epoch [18/25], Step [200/1289], Loss: 0.0752
|
||||
Wed, 14 Sep 2022 10:40:32: Epoch [18/25], Step [250/1289], Loss: 0.0504
|
||||
Wed, 14 Sep 2022 10:40:32: Epoch [18/25], Step [300/1289], Loss: 0.0478
|
||||
Wed, 14 Sep 2022 10:40:32: Epoch [18/25], Step [350/1289], Loss: 0.1226
|
||||
Wed, 14 Sep 2022 10:40:32: Epoch [18/25], Step [400/1289], Loss: 0.1126
|
||||
Wed, 14 Sep 2022 10:40:33: Epoch [18/25], Step [450/1289], Loss: 0.0364
|
||||
Wed, 14 Sep 2022 10:40:33: Epoch [18/25], Step [500/1289], Loss: 0.0691
|
||||
Wed, 14 Sep 2022 10:40:33: Epoch [18/25], Step [550/1289], Loss: 0.0794
|
||||
Wed, 14 Sep 2022 10:40:33: Epoch [18/25], Step [600/1289], Loss: 0.0770
|
||||
Wed, 14 Sep 2022 10:40:33: Epoch [18/25], Step [650/1289], Loss: 0.0642
|
||||
Wed, 14 Sep 2022 10:40:34: Epoch [18/25], Step [700/1289], Loss: 0.0364
|
||||
Wed, 14 Sep 2022 10:40:34: Epoch [18/25], Step [750/1289], Loss: 0.0586
|
||||
Wed, 14 Sep 2022 10:40:34: Epoch [18/25], Step [800/1289], Loss: 0.1097
|
||||
Wed, 14 Sep 2022 10:40:34: Epoch [18/25], Step [850/1289], Loss: 0.0760
|
||||
Wed, 14 Sep 2022 10:40:35: Epoch [18/25], Step [900/1289], Loss: 0.0911
|
||||
Wed, 14 Sep 2022 10:40:35: Epoch [18/25], Step [950/1289], Loss: 0.0244
|
||||
Wed, 14 Sep 2022 10:40:35: Epoch [18/25], Step [1000/1289], Loss: 0.1057
|
||||
Wed, 14 Sep 2022 10:40:35: Epoch [18/25], Step [1050/1289], Loss: 0.1145
|
||||
Wed, 14 Sep 2022 10:40:35: Epoch [18/25], Step [1100/1289], Loss: 0.0599
|
||||
Wed, 14 Sep 2022 10:40:36: Epoch [18/25], Step [1150/1289], Loss: 0.1336
|
||||
Wed, 14 Sep 2022 10:40:36: Epoch [18/25], Step [1200/1289], Loss: 0.0797
|
||||
Wed, 14 Sep 2022 10:40:36: Epoch [18/25], Step [1250/1289], Loss: 0.1103
|
||||
Wed, 14 Sep 2022 10:40:36: Epoch [19/25], Step [50/1289], Loss: 0.0762
|
||||
Wed, 14 Sep 2022 10:40:37: Epoch [19/25], Step [100/1289], Loss: 0.1421
|
||||
Wed, 14 Sep 2022 10:40:37: Epoch [19/25], Step [150/1289], Loss: 0.0826
|
||||
Wed, 14 Sep 2022 10:40:37: Epoch [19/25], Step [200/1289], Loss: 0.0942
|
||||
Wed, 14 Sep 2022 10:40:37: Epoch [19/25], Step [250/1289], Loss: 0.1451
|
||||
Wed, 14 Sep 2022 10:40:38: Epoch [19/25], Step [300/1289], Loss: 0.0578
|
||||
Wed, 14 Sep 2022 10:40:38: Epoch [19/25], Step [350/1289], Loss: 0.1284
|
||||
Wed, 14 Sep 2022 10:40:38: Epoch [19/25], Step [400/1289], Loss: 0.0475
|
||||
Wed, 14 Sep 2022 10:40:38: Epoch [19/25], Step [450/1289], Loss: 0.0915
|
||||
Wed, 14 Sep 2022 10:40:38: Epoch [19/25], Step [500/1289], Loss: 0.0601
|
||||
Wed, 14 Sep 2022 10:40:39: Epoch [19/25], Step [550/1289], Loss: 0.0893
|
||||
Wed, 14 Sep 2022 10:40:39: Epoch [19/25], Step [600/1289], Loss: 0.0752
|
||||
Wed, 14 Sep 2022 10:40:39: Epoch [19/25], Step [650/1289], Loss: 0.0822
|
||||
Wed, 14 Sep 2022 10:40:39: Epoch [19/25], Step [700/1289], Loss: 0.0280
|
||||
Wed, 14 Sep 2022 10:40:39: Epoch [19/25], Step [750/1289], Loss: 0.0683
|
||||
Wed, 14 Sep 2022 10:40:40: Epoch [19/25], Step [800/1289], Loss: 0.0260
|
||||
Wed, 14 Sep 2022 10:40:40: Epoch [19/25], Step [850/1289], Loss: 0.1950
|
||||
Wed, 14 Sep 2022 10:40:40: Epoch [19/25], Step [900/1289], Loss: 0.0749
|
||||
Wed, 14 Sep 2022 10:40:40: Epoch [19/25], Step [950/1289], Loss: 0.0947
|
||||
Wed, 14 Sep 2022 10:40:41: Epoch [19/25], Step [1000/1289], Loss: 0.0108
|
||||
Wed, 14 Sep 2022 10:40:41: Epoch [19/25], Step [1050/1289], Loss: 0.0837
|
||||
Wed, 14 Sep 2022 10:40:41: Epoch [19/25], Step [1100/1289], Loss: 0.0674
|
||||
Wed, 14 Sep 2022 10:40:41: Epoch [19/25], Step [1150/1289], Loss: 0.0720
|
||||
Wed, 14 Sep 2022 10:40:41: Epoch [19/25], Step [1200/1289], Loss: 0.0277
|
||||
Wed, 14 Sep 2022 10:40:42: Epoch [19/25], Step [1250/1289], Loss: 0.0220
|
||||
Wed, 14 Sep 2022 10:40:42: Epoch [20/25], Step [50/1289], Loss: 0.0558
|
||||
Wed, 14 Sep 2022 10:40:42: Epoch [20/25], Step [100/1289], Loss: 0.0336
|
||||
Wed, 14 Sep 2022 10:40:42: Epoch [20/25], Step [150/1289], Loss: 0.0819
|
||||
Wed, 14 Sep 2022 10:40:43: Epoch [20/25], Step [200/1289], Loss: 0.0884
|
||||
Wed, 14 Sep 2022 10:40:43: Epoch [20/25], Step [250/1289], Loss: 0.0838
|
||||
Wed, 14 Sep 2022 10:40:43: Epoch [20/25], Step [300/1289], Loss: 0.0266
|
||||
Wed, 14 Sep 2022 10:40:43: Epoch [20/25], Step [350/1289], Loss: 0.0644
|
||||
Wed, 14 Sep 2022 10:40:44: Epoch [20/25], Step [400/1289], Loss: 0.1410
|
||||
Wed, 14 Sep 2022 10:40:44: Epoch [20/25], Step [450/1289], Loss: 0.1305
|
||||
Wed, 14 Sep 2022 10:40:44: Epoch [20/25], Step [500/1289], Loss: 0.0776
|
||||
Wed, 14 Sep 2022 10:40:44: Epoch [20/25], Step [550/1289], Loss: 0.1659
|
||||
Wed, 14 Sep 2022 10:40:44: Epoch [20/25], Step [600/1289], Loss: 0.0877
|
||||
Wed, 14 Sep 2022 10:40:45: Epoch [20/25], Step [650/1289], Loss: 0.0928
|
||||
Wed, 14 Sep 2022 10:40:45: Epoch [20/25], Step [700/1289], Loss: 0.0610
|
||||
Wed, 14 Sep 2022 10:40:45: Epoch [20/25], Step [750/1289], Loss: 0.0823
|
||||
Wed, 14 Sep 2022 10:40:45: Epoch [20/25], Step [800/1289], Loss: 0.0567
|
||||
Wed, 14 Sep 2022 10:40:45: Epoch [20/25], Step [850/1289], Loss: 0.0884
|
||||
Wed, 14 Sep 2022 10:40:46: Epoch [20/25], Step [900/1289], Loss: 0.0661
|
||||
Wed, 14 Sep 2022 10:40:46: Epoch [20/25], Step [950/1289], Loss: 0.0550
|
||||
Wed, 14 Sep 2022 10:40:46: Epoch [20/25], Step [1000/1289], Loss: 0.0734
|
||||
Wed, 14 Sep 2022 10:40:46: Epoch [20/25], Step [1050/1289], Loss: 0.0380
|
||||
Wed, 14 Sep 2022 10:40:47: Epoch [20/25], Step [1100/1289], Loss: 0.0630
|
||||
Wed, 14 Sep 2022 10:40:47: Epoch [20/25], Step [1150/1289], Loss: 0.0390
|
||||
Wed, 14 Sep 2022 10:40:47: Epoch [20/25], Step [1200/1289], Loss: 0.0345
|
||||
Wed, 14 Sep 2022 10:40:47: Epoch [20/25], Step [1250/1289], Loss: 0.1409
|
||||
Wed, 14 Sep 2022 10:40:48: Epoch [21/25], Step [50/1289], Loss: 0.0175
|
||||
Wed, 14 Sep 2022 10:40:48: Epoch [21/25], Step [100/1289], Loss: 0.0518
|
||||
Wed, 14 Sep 2022 10:40:48: Epoch [21/25], Step [150/1289], Loss: 0.0250
|
||||
Wed, 14 Sep 2022 10:40:48: Epoch [21/25], Step [200/1289], Loss: 0.0387
|
||||
Wed, 14 Sep 2022 10:40:48: Epoch [21/25], Step [250/1289], Loss: 0.0403
|
||||
Wed, 14 Sep 2022 10:40:49: Epoch [21/25], Step [300/1289], Loss: 0.0340
|
||||
Wed, 14 Sep 2022 10:40:49: Epoch [21/25], Step [350/1289], Loss: 0.0944
|
||||
Wed, 14 Sep 2022 10:40:49: Epoch [21/25], Step [400/1289], Loss: 0.0673
|
||||
Wed, 14 Sep 2022 10:40:49: Epoch [21/25], Step [450/1289], Loss: 0.0212
|
||||
Wed, 14 Sep 2022 10:40:49: Epoch [21/25], Step [500/1289], Loss: 0.0154
|
||||
Wed, 14 Sep 2022 10:40:50: Epoch [21/25], Step [550/1289], Loss: 0.0507
|
||||
Wed, 14 Sep 2022 10:40:50: Epoch [21/25], Step [600/1289], Loss: 0.0566
|
||||
Wed, 14 Sep 2022 10:40:50: Epoch [21/25], Step [650/1289], Loss: 0.0981
|
||||
Wed, 14 Sep 2022 10:40:50: Epoch [21/25], Step [700/1289], Loss: 0.0663
|
||||
Wed, 14 Sep 2022 10:40:50: Epoch [21/25], Step [750/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 10:40:51: Epoch [21/25], Step [800/1289], Loss: 0.0544
|
||||
Wed, 14 Sep 2022 10:40:51: Epoch [21/25], Step [850/1289], Loss: 0.0155
|
||||
Wed, 14 Sep 2022 10:40:51: Epoch [21/25], Step [900/1289], Loss: 0.1174
|
||||
Wed, 14 Sep 2022 10:40:51: Epoch [21/25], Step [950/1289], Loss: 0.1043
|
||||
Wed, 14 Sep 2022 10:40:51: Epoch [21/25], Step [1000/1289], Loss: 0.0653
|
||||
Wed, 14 Sep 2022 10:40:52: Epoch [21/25], Step [1050/1289], Loss: 0.0971
|
||||
Wed, 14 Sep 2022 10:40:52: Epoch [21/25], Step [1100/1289], Loss: 0.0191
|
||||
Wed, 14 Sep 2022 10:40:52: Epoch [21/25], Step [1150/1289], Loss: 0.0267
|
||||
Wed, 14 Sep 2022 10:40:52: Epoch [21/25], Step [1200/1289], Loss: 0.1068
|
||||
Wed, 14 Sep 2022 10:40:52: Epoch [21/25], Step [1250/1289], Loss: 0.0770
|
||||
Wed, 14 Sep 2022 10:40:53: Epoch [22/25], Step [50/1289], Loss: 0.0653
|
||||
Wed, 14 Sep 2022 10:40:53: Epoch [22/25], Step [100/1289], Loss: 0.0527
|
||||
Wed, 14 Sep 2022 10:40:53: Epoch [22/25], Step [150/1289], Loss: 0.0372
|
||||
Wed, 14 Sep 2022 10:40:53: Epoch [22/25], Step [200/1289], Loss: 0.0694
|
||||
Wed, 14 Sep 2022 10:40:53: Epoch [22/25], Step [250/1289], Loss: 0.0502
|
||||
Wed, 14 Sep 2022 10:40:54: Epoch [22/25], Step [300/1289], Loss: 0.0270
|
||||
Wed, 14 Sep 2022 10:40:54: Epoch [22/25], Step [350/1289], Loss: 0.0480
|
||||
Wed, 14 Sep 2022 10:40:54: Epoch [22/25], Step [400/1289], Loss: 0.0267
|
||||
Wed, 14 Sep 2022 10:40:54: Epoch [22/25], Step [450/1289], Loss: 0.1051
|
||||
Wed, 14 Sep 2022 10:40:54: Epoch [22/25], Step [500/1289], Loss: 0.0724
|
||||
Wed, 14 Sep 2022 10:40:55: Epoch [22/25], Step [550/1289], Loss: 0.1559
|
||||
Wed, 14 Sep 2022 10:40:55: Epoch [22/25], Step [600/1289], Loss: 0.1142
|
||||
Wed, 14 Sep 2022 10:40:55: Epoch [22/25], Step [650/1289], Loss: 0.0828
|
||||
Wed, 14 Sep 2022 10:40:55: Epoch [22/25], Step [700/1289], Loss: 0.0155
|
||||
Wed, 14 Sep 2022 10:40:55: Epoch [22/25], Step [750/1289], Loss: 0.0741
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [800/1289], Loss: 0.0677
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [850/1289], Loss: 0.0581
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [900/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [950/1289], Loss: 0.1575
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [1000/1289], Loss: 0.0320
|
||||
Wed, 14 Sep 2022 10:40:56: Epoch [22/25], Step [1050/1289], Loss: 0.0688
|
||||
Wed, 14 Sep 2022 10:40:57: Epoch [22/25], Step [1100/1289], Loss: 0.0613
|
||||
Wed, 14 Sep 2022 10:40:57: Epoch [22/25], Step [1150/1289], Loss: 0.0739
|
||||
Wed, 14 Sep 2022 10:40:57: Epoch [22/25], Step [1200/1289], Loss: 0.0627
|
||||
Wed, 14 Sep 2022 10:40:57: Epoch [22/25], Step [1250/1289], Loss: 0.0683
|
||||
Wed, 14 Sep 2022 10:40:58: Epoch [23/25], Step [50/1289], Loss: 0.0637
|
||||
Wed, 14 Sep 2022 10:40:58: Epoch [23/25], Step [100/1289], Loss: 0.1160
|
||||
Wed, 14 Sep 2022 10:40:58: Epoch [23/25], Step [150/1289], Loss: 0.0136
|
||||
Wed, 14 Sep 2022 10:40:58: Epoch [23/25], Step [200/1289], Loss: 0.0229
|
||||
Wed, 14 Sep 2022 10:40:58: Epoch [23/25], Step [250/1289], Loss: 0.0494
|
||||
Wed, 14 Sep 2022 10:40:59: Epoch [23/25], Step [300/1289], Loss: 0.0456
|
||||
Wed, 14 Sep 2022 10:40:59: Epoch [23/25], Step [350/1289], Loss: 0.0387
|
||||
Wed, 14 Sep 2022 10:40:59: Epoch [23/25], Step [400/1289], Loss: 0.0754
|
||||
Wed, 14 Sep 2022 10:40:59: Epoch [23/25], Step [450/1289], Loss: 0.0670
|
||||
Wed, 14 Sep 2022 10:40:59: Epoch [23/25], Step [500/1289], Loss: 0.1111
|
||||
Wed, 14 Sep 2022 10:41:00: Epoch [23/25], Step [550/1289], Loss: 0.0791
|
||||
Wed, 14 Sep 2022 10:41:00: Epoch [23/25], Step [600/1289], Loss: 0.1092
|
||||
Wed, 14 Sep 2022 10:41:00: Epoch [23/25], Step [650/1289], Loss: 0.0319
|
||||
Wed, 14 Sep 2022 10:41:00: Epoch [23/25], Step [700/1289], Loss: 0.0191
|
||||
Wed, 14 Sep 2022 10:41:00: Epoch [23/25], Step [750/1289], Loss: 0.1050
|
||||
Wed, 14 Sep 2022 10:41:01: Epoch [23/25], Step [800/1289], Loss: 0.0478
|
||||
Wed, 14 Sep 2022 10:41:01: Epoch [23/25], Step [850/1289], Loss: 0.1160
|
||||
Wed, 14 Sep 2022 10:41:01: Epoch [23/25], Step [900/1289], Loss: 0.0826
|
||||
Wed, 14 Sep 2022 10:41:01: Epoch [23/25], Step [950/1289], Loss: 0.0261
|
||||
Wed, 14 Sep 2022 10:41:01: Epoch [23/25], Step [1000/1289], Loss: 0.0852
|
||||
Wed, 14 Sep 2022 10:41:02: Epoch [23/25], Step [1050/1289], Loss: 0.0719
|
||||
Wed, 14 Sep 2022 10:41:02: Epoch [23/25], Step [1100/1289], Loss: 0.0246
|
||||
Wed, 14 Sep 2022 10:41:02: Epoch [23/25], Step [1150/1289], Loss: 0.0518
|
||||
Wed, 14 Sep 2022 10:41:02: Epoch [23/25], Step [1200/1289], Loss: 0.0073
|
||||
Wed, 14 Sep 2022 10:41:02: Epoch [23/25], Step [1250/1289], Loss: 0.0685
|
||||
Wed, 14 Sep 2022 10:41:03: Epoch [24/25], Step [50/1289], Loss: 0.0096
|
||||
Wed, 14 Sep 2022 10:41:03: Epoch [24/25], Step [100/1289], Loss: 0.1120
|
||||
Wed, 14 Sep 2022 10:41:03: Epoch [24/25], Step [150/1289], Loss: 0.0594
|
||||
Wed, 14 Sep 2022 10:41:03: Epoch [24/25], Step [200/1289], Loss: 0.0779
|
||||
Wed, 14 Sep 2022 10:41:04: Epoch [24/25], Step [250/1289], Loss: 0.1024
|
||||
Wed, 14 Sep 2022 10:41:04: Epoch [24/25], Step [300/1289], Loss: 0.0450
|
||||
Wed, 14 Sep 2022 10:41:04: Epoch [24/25], Step [350/1289], Loss: 0.0346
|
||||
Wed, 14 Sep 2022 10:41:04: Epoch [24/25], Step [400/1289], Loss: 0.0476
|
||||
Wed, 14 Sep 2022 10:41:04: Epoch [24/25], Step [450/1289], Loss: 0.0758
|
||||
Wed, 14 Sep 2022 10:41:05: Epoch [24/25], Step [500/1289], Loss: 0.0943
|
||||
Wed, 14 Sep 2022 10:41:05: Epoch [24/25], Step [550/1289], Loss: 0.0242
|
||||
Wed, 14 Sep 2022 10:41:05: Epoch [24/25], Step [600/1289], Loss: 0.0750
|
||||
Wed, 14 Sep 2022 10:41:05: Epoch [24/25], Step [650/1289], Loss: 0.0821
|
||||
Wed, 14 Sep 2022 10:41:05: Epoch [24/25], Step [700/1289], Loss: 0.1369
|
||||
Wed, 14 Sep 2022 10:41:06: Epoch [24/25], Step [750/1289], Loss: 0.1184
|
||||
Wed, 14 Sep 2022 10:41:06: Epoch [24/25], Step [800/1289], Loss: 0.0772
|
||||
Wed, 14 Sep 2022 10:41:06: Epoch [24/25], Step [850/1289], Loss: 0.0215
|
||||
Wed, 14 Sep 2022 10:41:06: Epoch [24/25], Step [900/1289], Loss: 0.0856
|
||||
Wed, 14 Sep 2022 10:41:06: Epoch [24/25], Step [950/1289], Loss: 0.1226
|
||||
Wed, 14 Sep 2022 10:41:07: Epoch [24/25], Step [1000/1289], Loss: 0.1670
|
||||
Wed, 14 Sep 2022 10:41:07: Epoch [24/25], Step [1050/1289], Loss: 0.1142
|
||||
Wed, 14 Sep 2022 10:41:07: Epoch [24/25], Step [1100/1289], Loss: 0.0594
|
||||
Wed, 14 Sep 2022 10:41:07: Epoch [24/25], Step [1150/1289], Loss: 0.0562
|
||||
Wed, 14 Sep 2022 10:41:07: Epoch [24/25], Step [1200/1289], Loss: 0.0777
|
||||
Wed, 14 Sep 2022 10:41:08: Epoch [24/25], Step [1250/1289], Loss: 0.0760
|
||||
Wed, 14 Sep 2022 10:41:08: Epoch [25/25], Step [50/1289], Loss: 0.0749
|
||||
Wed, 14 Sep 2022 10:41:08: Epoch [25/25], Step [100/1289], Loss: 0.0374
|
||||
Wed, 14 Sep 2022 10:41:08: Epoch [25/25], Step [150/1289], Loss: 0.0463
|
||||
Wed, 14 Sep 2022 10:41:09: Epoch [25/25], Step [200/1289], Loss: 0.0278
|
||||
Wed, 14 Sep 2022 10:41:09: Epoch [25/25], Step [250/1289], Loss: 0.0664
|
||||
Wed, 14 Sep 2022 10:41:09: Epoch [25/25], Step [300/1289], Loss: 0.0248
|
||||
Wed, 14 Sep 2022 10:41:09: Epoch [25/25], Step [350/1289], Loss: 0.0306
|
||||
Wed, 14 Sep 2022 10:41:09: Epoch [25/25], Step [400/1289], Loss: 0.0632
|
||||
Wed, 14 Sep 2022 10:41:10: Epoch [25/25], Step [450/1289], Loss: 0.0250
|
||||
Wed, 14 Sep 2022 10:41:10: Epoch [25/25], Step [500/1289], Loss: 0.0736
|
||||
Wed, 14 Sep 2022 10:41:10: Epoch [25/25], Step [550/1289], Loss: 0.0533
|
||||
Wed, 14 Sep 2022 10:41:10: Epoch [25/25], Step [600/1289], Loss: 0.0458
|
||||
Wed, 14 Sep 2022 10:41:10: Epoch [25/25], Step [650/1289], Loss: 0.0942
|
||||
Wed, 14 Sep 2022 10:41:11: Epoch [25/25], Step [700/1289], Loss: 0.0196
|
||||
Wed, 14 Sep 2022 10:41:11: Epoch [25/25], Step [750/1289], Loss: 0.0425
|
||||
Wed, 14 Sep 2022 10:41:11: Epoch [25/25], Step [800/1289], Loss: 0.0065
|
||||
Wed, 14 Sep 2022 10:41:11: Epoch [25/25], Step [850/1289], Loss: 0.0293
|
||||
Wed, 14 Sep 2022 10:41:11: Epoch [25/25], Step [900/1289], Loss: 0.0142
|
||||
Wed, 14 Sep 2022 10:41:12: Epoch [25/25], Step [950/1289], Loss: 0.1159
|
||||
Wed, 14 Sep 2022 10:41:12: Epoch [25/25], Step [1000/1289], Loss: 0.1176
|
||||
Wed, 14 Sep 2022 10:41:12: Epoch [25/25], Step [1050/1289], Loss: 0.0119
|
||||
Wed, 14 Sep 2022 10:41:12: Epoch [25/25], Step [1100/1289], Loss: 0.1251
|
||||
Wed, 14 Sep 2022 10:41:12: Epoch [25/25], Step [1150/1289], Loss: 0.0515
|
||||
Wed, 14 Sep 2022 10:41:13: Epoch [25/25], Step [1200/1289], Loss: 0.0427
|
||||
Wed, 14 Sep 2022 10:41:13: Epoch [25/25], Step [1250/1289], Loss: 0.1355
|
||||
Wed, 14 Sep 2022 10:41:13: start testing on test dataset
|
||||
Wed, 14 Sep 2022 10:41:14: f1 :0.9627394974164768
|
||||
Wed, 14 Sep 2022 10:41:14:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9393 0.9923 0.9651 16183
|
||||
1 0.9918 0.9353 0.9627 16036
|
||||
|
||||
accuracy 0.9640 32219
|
||||
macro avg 0.9656 0.9638 0.9639 32219
|
||||
weighted avg 0.9655 0.9640 0.9639 32219
|
||||
|
||||
Wed, 14 Sep 2022 10:41:14:
|
||||
[[16059 124]
|
||||
[ 1037 14999]]
|
||||
Wed, 14 Sep 2022 10:41:14: high_num,high_true,high_false:5640,5263,377
|
||||
Wed, 14 Sep 2022 10:41:14: low_num,low_true,low_false:10396,9736,660
|
||||
653
代码/sequenceShield/论文数据/ss-lstm-cicdos2017-directionless.log
Normal file
653
代码/sequenceShield/论文数据/ss-lstm-cicdos2017-directionless.log
Normal file
@@ -0,0 +1,653 @@
|
||||
Thu, 08 Sep 2022 12:41:50: -------------
|
||||
Thu, 08 Sep 2022 12:41:50: cuda is_available:True
|
||||
Thu, 08 Sep 2022 12:41:50: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Thu, 08 Sep 2022 12:41:50: reading csv file
|
||||
Thu, 08 Sep 2022 12:41:50: csv file alread loaded
|
||||
Thu, 08 Sep 2022 12:42:01: procols num: 31
|
||||
Thu, 08 Sep 2022 12:42:01: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Thu, 08 Sep 2022 12:43:23: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Thu, 08 Sep 2022 12:43:24: loader already prepared
|
||||
Thu, 08 Sep 2022 12:43:25: loader中(0:normal,1:high,2:low):Counter({0: 16034, 2: 10829, 1: 5356})
|
||||
Thu, 08 Sep 2022 12:43:26: start training
|
||||
Thu, 08 Sep 2022 12:43:26: Epoch [1/25], Step [50/1289], Loss: 0.6693
|
||||
Thu, 08 Sep 2022 12:43:27: Epoch [1/25], Step [100/1289], Loss: 0.5848
|
||||
Thu, 08 Sep 2022 12:43:27: Epoch [1/25], Step [150/1289], Loss: 0.6368
|
||||
Thu, 08 Sep 2022 12:43:27: Epoch [1/25], Step [200/1289], Loss: 0.6316
|
||||
Thu, 08 Sep 2022 12:43:27: Epoch [1/25], Step [250/1289], Loss: 0.6120
|
||||
Thu, 08 Sep 2022 12:43:28: Epoch [1/25], Step [300/1289], Loss: 0.6182
|
||||
Thu, 08 Sep 2022 12:43:28: Epoch [1/25], Step [350/1289], Loss: 0.6330
|
||||
Thu, 08 Sep 2022 12:43:28: Epoch [1/25], Step [400/1289], Loss: 0.6464
|
||||
Thu, 08 Sep 2022 12:43:28: Epoch [1/25], Step [450/1289], Loss: 0.6849
|
||||
Thu, 08 Sep 2022 12:43:29: Epoch [1/25], Step [500/1289], Loss: 0.6754
|
||||
Thu, 08 Sep 2022 12:43:29: Epoch [1/25], Step [550/1289], Loss: 0.6547
|
||||
Thu, 08 Sep 2022 12:43:29: Epoch [1/25], Step [600/1289], Loss: 0.5997
|
||||
Thu, 08 Sep 2022 12:43:29: Epoch [1/25], Step [650/1289], Loss: 0.5999
|
||||
Thu, 08 Sep 2022 12:43:30: Epoch [1/25], Step [700/1289], Loss: 0.6200
|
||||
Thu, 08 Sep 2022 12:43:30: Epoch [1/25], Step [750/1289], Loss: 0.6514
|
||||
Thu, 08 Sep 2022 12:43:30: Epoch [1/25], Step [800/1289], Loss: 0.6362
|
||||
Thu, 08 Sep 2022 12:43:31: Epoch [1/25], Step [850/1289], Loss: 0.6197
|
||||
Thu, 08 Sep 2022 12:43:31: Epoch [1/25], Step [900/1289], Loss: 0.6155
|
||||
Thu, 08 Sep 2022 12:43:31: Epoch [1/25], Step [950/1289], Loss: 0.6365
|
||||
Thu, 08 Sep 2022 12:43:31: Epoch [1/25], Step [1000/1289], Loss: 0.6345
|
||||
Thu, 08 Sep 2022 12:43:32: Epoch [1/25], Step [1050/1289], Loss: 0.6250
|
||||
Thu, 08 Sep 2022 12:43:32: Epoch [1/25], Step [1100/1289], Loss: 0.6358
|
||||
Thu, 08 Sep 2022 12:43:32: Epoch [1/25], Step [1150/1289], Loss: 0.6171
|
||||
Thu, 08 Sep 2022 12:43:32: Epoch [1/25], Step [1200/1289], Loss: 0.7204
|
||||
Thu, 08 Sep 2022 12:43:33: Epoch [1/25], Step [1250/1289], Loss: 0.6364
|
||||
Thu, 08 Sep 2022 12:43:33: Epoch [2/25], Step [50/1289], Loss: 0.6194
|
||||
Thu, 08 Sep 2022 12:43:33: Epoch [2/25], Step [100/1289], Loss: 0.5813
|
||||
Thu, 08 Sep 2022 12:43:34: Epoch [2/25], Step [150/1289], Loss: 0.6681
|
||||
Thu, 08 Sep 2022 12:43:34: Epoch [2/25], Step [200/1289], Loss: 0.6451
|
||||
Thu, 08 Sep 2022 12:43:34: Epoch [2/25], Step [250/1289], Loss: 0.6008
|
||||
Thu, 08 Sep 2022 12:43:34: Epoch [2/25], Step [300/1289], Loss: 0.6354
|
||||
Thu, 08 Sep 2022 12:43:35: Epoch [2/25], Step [350/1289], Loss: 0.5948
|
||||
Thu, 08 Sep 2022 12:43:35: Epoch [2/25], Step [400/1289], Loss: 0.6265
|
||||
Thu, 08 Sep 2022 12:43:35: Epoch [2/25], Step [450/1289], Loss: 0.5878
|
||||
Thu, 08 Sep 2022 12:43:35: Epoch [2/25], Step [500/1289], Loss: 0.5808
|
||||
Thu, 08 Sep 2022 12:43:36: Epoch [2/25], Step [550/1289], Loss: 0.6214
|
||||
Thu, 08 Sep 2022 12:43:36: Epoch [2/25], Step [600/1289], Loss: 0.5938
|
||||
Thu, 08 Sep 2022 12:43:36: Epoch [2/25], Step [650/1289], Loss: 0.6240
|
||||
Thu, 08 Sep 2022 12:43:36: Epoch [2/25], Step [700/1289], Loss: 0.6110
|
||||
Thu, 08 Sep 2022 12:43:37: Epoch [2/25], Step [750/1289], Loss: 0.6468
|
||||
Thu, 08 Sep 2022 12:43:37: Epoch [2/25], Step [800/1289], Loss: 0.6506
|
||||
Thu, 08 Sep 2022 12:43:37: Epoch [2/25], Step [850/1289], Loss: 0.6017
|
||||
Thu, 08 Sep 2022 12:43:38: Epoch [2/25], Step [900/1289], Loss: 0.6300
|
||||
Thu, 08 Sep 2022 12:43:38: Epoch [2/25], Step [950/1289], Loss: 0.6190
|
||||
Thu, 08 Sep 2022 12:43:38: Epoch [2/25], Step [1000/1289], Loss: 0.6381
|
||||
Thu, 08 Sep 2022 12:43:38: Epoch [2/25], Step [1050/1289], Loss: 0.6508
|
||||
Thu, 08 Sep 2022 12:43:39: Epoch [2/25], Step [1100/1289], Loss: 0.6231
|
||||
Thu, 08 Sep 2022 12:43:39: Epoch [2/25], Step [1150/1289], Loss: 0.5857
|
||||
Thu, 08 Sep 2022 12:43:39: Epoch [2/25], Step [1200/1289], Loss: 0.5757
|
||||
Thu, 08 Sep 2022 12:43:39: Epoch [2/25], Step [1250/1289], Loss: 0.7018
|
||||
Thu, 08 Sep 2022 12:43:40: Epoch [3/25], Step [50/1289], Loss: 0.6296
|
||||
Thu, 08 Sep 2022 12:43:40: Epoch [3/25], Step [100/1289], Loss: 0.6591
|
||||
Thu, 08 Sep 2022 12:43:40: Epoch [3/25], Step [150/1289], Loss: 0.6189
|
||||
Thu, 08 Sep 2022 12:43:41: Epoch [3/25], Step [200/1289], Loss: 0.6587
|
||||
Thu, 08 Sep 2022 12:43:41: Epoch [3/25], Step [250/1289], Loss: 0.6210
|
||||
Thu, 08 Sep 2022 12:43:41: Epoch [3/25], Step [300/1289], Loss: 0.6059
|
||||
Thu, 08 Sep 2022 12:43:41: Epoch [3/25], Step [350/1289], Loss: 0.6366
|
||||
Thu, 08 Sep 2022 12:43:42: Epoch [3/25], Step [400/1289], Loss: 0.6297
|
||||
Thu, 08 Sep 2022 12:43:42: Epoch [3/25], Step [450/1289], Loss: 0.5856
|
||||
Thu, 08 Sep 2022 12:43:42: Epoch [3/25], Step [500/1289], Loss: 0.6437
|
||||
Thu, 08 Sep 2022 12:43:42: Epoch [3/25], Step [550/1289], Loss: 0.6151
|
||||
Thu, 08 Sep 2022 12:43:43: Epoch [3/25], Step [600/1289], Loss: 0.6457
|
||||
Thu, 08 Sep 2022 12:43:43: Epoch [3/25], Step [650/1289], Loss: 0.6314
|
||||
Thu, 08 Sep 2022 12:43:43: Epoch [3/25], Step [700/1289], Loss: 0.6524
|
||||
Thu, 08 Sep 2022 12:43:43: Epoch [3/25], Step [750/1289], Loss: 0.6504
|
||||
Thu, 08 Sep 2022 12:43:44: Epoch [3/25], Step [800/1289], Loss: 0.6393
|
||||
Thu, 08 Sep 2022 12:43:44: Epoch [3/25], Step [850/1289], Loss: 0.6294
|
||||
Thu, 08 Sep 2022 12:43:44: Epoch [3/25], Step [900/1289], Loss: 0.6359
|
||||
Thu, 08 Sep 2022 12:43:45: Epoch [3/25], Step [950/1289], Loss: 0.6525
|
||||
Thu, 08 Sep 2022 12:43:45: Epoch [3/25], Step [1000/1289], Loss: 0.6033
|
||||
Thu, 08 Sep 2022 12:43:45: Epoch [3/25], Step [1050/1289], Loss: 0.5997
|
||||
Thu, 08 Sep 2022 12:43:45: Epoch [3/25], Step [1100/1289], Loss: 0.6389
|
||||
Thu, 08 Sep 2022 12:43:46: Epoch [3/25], Step [1150/1289], Loss: 0.6193
|
||||
Thu, 08 Sep 2022 12:43:46: Epoch [3/25], Step [1200/1289], Loss: 0.5476
|
||||
Thu, 08 Sep 2022 12:43:46: Epoch [3/25], Step [1250/1289], Loss: 0.5975
|
||||
Thu, 08 Sep 2022 12:43:47: Epoch [4/25], Step [50/1289], Loss: 0.6178
|
||||
Thu, 08 Sep 2022 12:43:47: Epoch [4/25], Step [100/1289], Loss: 0.7012
|
||||
Thu, 08 Sep 2022 12:43:47: Epoch [4/25], Step [150/1289], Loss: 0.5967
|
||||
Thu, 08 Sep 2022 12:43:47: Epoch [4/25], Step [200/1289], Loss: 0.6116
|
||||
Thu, 08 Sep 2022 12:43:48: Epoch [4/25], Step [250/1289], Loss: 0.6346
|
||||
Thu, 08 Sep 2022 12:43:48: Epoch [4/25], Step [300/1289], Loss: 0.6512
|
||||
Thu, 08 Sep 2022 12:43:48: Epoch [4/25], Step [350/1289], Loss: 0.6448
|
||||
Thu, 08 Sep 2022 12:43:48: Epoch [4/25], Step [400/1289], Loss: 0.6493
|
||||
Thu, 08 Sep 2022 12:43:49: Epoch [4/25], Step [450/1289], Loss: 0.5593
|
||||
Thu, 08 Sep 2022 12:43:49: Epoch [4/25], Step [500/1289], Loss: 0.5923
|
||||
Thu, 08 Sep 2022 12:43:49: Epoch [4/25], Step [550/1289], Loss: 0.5786
|
||||
Thu, 08 Sep 2022 12:43:49: Epoch [4/25], Step [600/1289], Loss: 0.5448
|
||||
Thu, 08 Sep 2022 12:43:50: Epoch [4/25], Step [650/1289], Loss: 0.6418
|
||||
Thu, 08 Sep 2022 12:43:50: Epoch [4/25], Step [700/1289], Loss: 0.6498
|
||||
Thu, 08 Sep 2022 12:43:50: Epoch [4/25], Step [750/1289], Loss: 0.6243
|
||||
Thu, 08 Sep 2022 12:43:51: Epoch [4/25], Step [800/1289], Loss: 0.6150
|
||||
Thu, 08 Sep 2022 12:43:51: Epoch [4/25], Step [850/1289], Loss: 0.6334
|
||||
Thu, 08 Sep 2022 12:43:51: Epoch [4/25], Step [900/1289], Loss: 0.5872
|
||||
Thu, 08 Sep 2022 12:43:51: Epoch [4/25], Step [950/1289], Loss: 0.5983
|
||||
Thu, 08 Sep 2022 12:43:52: Epoch [4/25], Step [1000/1289], Loss: 0.6394
|
||||
Thu, 08 Sep 2022 12:43:52: Epoch [4/25], Step [1050/1289], Loss: 0.6292
|
||||
Thu, 08 Sep 2022 12:43:52: Epoch [4/25], Step [1100/1289], Loss: 0.5821
|
||||
Thu, 08 Sep 2022 12:43:52: Epoch [4/25], Step [1150/1289], Loss: 0.6021
|
||||
Thu, 08 Sep 2022 12:43:53: Epoch [4/25], Step [1200/1289], Loss: 0.6002
|
||||
Thu, 08 Sep 2022 12:43:53: Epoch [4/25], Step [1250/1289], Loss: 0.5970
|
||||
Thu, 08 Sep 2022 12:43:53: Epoch [5/25], Step [50/1289], Loss: 0.5844
|
||||
Thu, 08 Sep 2022 12:43:54: Epoch [5/25], Step [100/1289], Loss: 0.5601
|
||||
Thu, 08 Sep 2022 12:43:54: Epoch [5/25], Step [150/1289], Loss: 0.6354
|
||||
Thu, 08 Sep 2022 12:43:54: Epoch [5/25], Step [200/1289], Loss: 0.6185
|
||||
Thu, 08 Sep 2022 12:43:54: Epoch [5/25], Step [250/1289], Loss: 0.6252
|
||||
Thu, 08 Sep 2022 12:43:55: Epoch [5/25], Step [300/1289], Loss: 0.5565
|
||||
Thu, 08 Sep 2022 12:43:55: Epoch [5/25], Step [350/1289], Loss: 0.6001
|
||||
Thu, 08 Sep 2022 12:43:55: Epoch [5/25], Step [400/1289], Loss: 0.5731
|
||||
Thu, 08 Sep 2022 12:43:55: Epoch [5/25], Step [450/1289], Loss: 0.5972
|
||||
Thu, 08 Sep 2022 12:43:56: Epoch [5/25], Step [500/1289], Loss: 0.5951
|
||||
Thu, 08 Sep 2022 12:43:56: Epoch [5/25], Step [550/1289], Loss: 0.5635
|
||||
Thu, 08 Sep 2022 12:43:56: Epoch [5/25], Step [600/1289], Loss: 0.5732
|
||||
Thu, 08 Sep 2022 12:43:56: Epoch [5/25], Step [650/1289], Loss: 0.5683
|
||||
Thu, 08 Sep 2022 12:43:57: Epoch [5/25], Step [700/1289], Loss: 0.6879
|
||||
Thu, 08 Sep 2022 12:43:57: Epoch [5/25], Step [750/1289], Loss: 0.5431
|
||||
Thu, 08 Sep 2022 12:43:57: Epoch [5/25], Step [800/1289], Loss: 0.6007
|
||||
Thu, 08 Sep 2022 12:43:58: Epoch [5/25], Step [850/1289], Loss: 0.6389
|
||||
Thu, 08 Sep 2022 12:43:58: Epoch [5/25], Step [900/1289], Loss: 0.5524
|
||||
Thu, 08 Sep 2022 12:43:58: Epoch [5/25], Step [950/1289], Loss: 0.6046
|
||||
Thu, 08 Sep 2022 12:43:58: Epoch [5/25], Step [1000/1289], Loss: 0.5546
|
||||
Thu, 08 Sep 2022 12:43:59: Epoch [5/25], Step [1050/1289], Loss: 0.6045
|
||||
Thu, 08 Sep 2022 12:43:59: Epoch [5/25], Step [1100/1289], Loss: 0.6207
|
||||
Thu, 08 Sep 2022 12:43:59: Epoch [5/25], Step [1150/1289], Loss: 0.5323
|
||||
Thu, 08 Sep 2022 12:43:59: Epoch [5/25], Step [1200/1289], Loss: 0.6030
|
||||
Thu, 08 Sep 2022 12:44:00: Epoch [5/25], Step [1250/1289], Loss: 0.5582
|
||||
Thu, 08 Sep 2022 12:44:00: Epoch [6/25], Step [50/1289], Loss: 0.5721
|
||||
Thu, 08 Sep 2022 12:44:01: Epoch [6/25], Step [100/1289], Loss: 0.6181
|
||||
Thu, 08 Sep 2022 12:44:01: Epoch [6/25], Step [150/1289], Loss: 0.4867
|
||||
Thu, 08 Sep 2022 12:44:01: Epoch [6/25], Step [200/1289], Loss: 0.5293
|
||||
Thu, 08 Sep 2022 12:44:01: Epoch [6/25], Step [250/1289], Loss: 0.5121
|
||||
Thu, 08 Sep 2022 12:44:02: Epoch [6/25], Step [300/1289], Loss: 0.5873
|
||||
Thu, 08 Sep 2022 12:44:02: Epoch [6/25], Step [350/1289], Loss: 0.5714
|
||||
Thu, 08 Sep 2022 12:44:02: Epoch [6/25], Step [400/1289], Loss: 0.5468
|
||||
Thu, 08 Sep 2022 12:44:02: Epoch [6/25], Step [450/1289], Loss: 0.5819
|
||||
Thu, 08 Sep 2022 12:44:03: Epoch [6/25], Step [500/1289], Loss: 0.5305
|
||||
Thu, 08 Sep 2022 12:44:03: Epoch [6/25], Step [550/1289], Loss: 0.5908
|
||||
Thu, 08 Sep 2022 12:44:03: Epoch [6/25], Step [600/1289], Loss: 0.5743
|
||||
Thu, 08 Sep 2022 12:44:03: Epoch [6/25], Step [650/1289], Loss: 0.5551
|
||||
Thu, 08 Sep 2022 12:44:04: Epoch [6/25], Step [700/1289], Loss: 0.5868
|
||||
Thu, 08 Sep 2022 12:44:04: Epoch [6/25], Step [750/1289], Loss: 0.5469
|
||||
Thu, 08 Sep 2022 12:44:04: Epoch [6/25], Step [800/1289], Loss: 0.5355
|
||||
Thu, 08 Sep 2022 12:44:05: Epoch [6/25], Step [850/1289], Loss: 0.5891
|
||||
Thu, 08 Sep 2022 12:44:05: Epoch [6/25], Step [900/1289], Loss: 0.5377
|
||||
Thu, 08 Sep 2022 12:44:05: Epoch [6/25], Step [950/1289], Loss: 0.5383
|
||||
Thu, 08 Sep 2022 12:44:05: Epoch [6/25], Step [1000/1289], Loss: 0.5232
|
||||
Thu, 08 Sep 2022 12:44:06: Epoch [6/25], Step [1050/1289], Loss: 0.4903
|
||||
Thu, 08 Sep 2022 12:44:06: Epoch [6/25], Step [1100/1289], Loss: 0.5115
|
||||
Thu, 08 Sep 2022 12:44:06: Epoch [6/25], Step [1150/1289], Loss: 0.5175
|
||||
Thu, 08 Sep 2022 12:44:06: Epoch [6/25], Step [1200/1289], Loss: 0.5890
|
||||
Thu, 08 Sep 2022 12:44:07: Epoch [6/25], Step [1250/1289], Loss: 0.5253
|
||||
Thu, 08 Sep 2022 12:44:07: Epoch [7/25], Step [50/1289], Loss: 0.4784
|
||||
Thu, 08 Sep 2022 12:44:07: Epoch [7/25], Step [100/1289], Loss: 0.5339
|
||||
Thu, 08 Sep 2022 12:44:08: Epoch [7/25], Step [150/1289], Loss: 0.4882
|
||||
Thu, 08 Sep 2022 12:44:08: Epoch [7/25], Step [200/1289], Loss: 0.6244
|
||||
Thu, 08 Sep 2022 12:44:08: Epoch [7/25], Step [250/1289], Loss: 0.5804
|
||||
Thu, 08 Sep 2022 12:44:09: Epoch [7/25], Step [300/1289], Loss: 0.5873
|
||||
Thu, 08 Sep 2022 12:44:09: Epoch [7/25], Step [350/1289], Loss: 0.5268
|
||||
Thu, 08 Sep 2022 12:44:09: Epoch [7/25], Step [400/1289], Loss: 0.6518
|
||||
Thu, 08 Sep 2022 12:44:09: Epoch [7/25], Step [450/1289], Loss: 0.5121
|
||||
Thu, 08 Sep 2022 12:44:10: Epoch [7/25], Step [500/1289], Loss: 0.5284
|
||||
Thu, 08 Sep 2022 12:44:10: Epoch [7/25], Step [550/1289], Loss: 0.5354
|
||||
Thu, 08 Sep 2022 12:44:10: Epoch [7/25], Step [600/1289], Loss: 0.5181
|
||||
Thu, 08 Sep 2022 12:44:10: Epoch [7/25], Step [650/1289], Loss: 0.5337
|
||||
Thu, 08 Sep 2022 12:44:11: Epoch [7/25], Step [700/1289], Loss: 0.6313
|
||||
Thu, 08 Sep 2022 12:44:11: Epoch [7/25], Step [750/1289], Loss: 0.5024
|
||||
Thu, 08 Sep 2022 12:44:11: Epoch [7/25], Step [800/1289], Loss: 0.4685
|
||||
Thu, 08 Sep 2022 12:44:11: Epoch [7/25], Step [850/1289], Loss: 0.4887
|
||||
Thu, 08 Sep 2022 12:44:12: Epoch [7/25], Step [900/1289], Loss: 0.6298
|
||||
Thu, 08 Sep 2022 12:44:12: Epoch [7/25], Step [950/1289], Loss: 0.5414
|
||||
Thu, 08 Sep 2022 12:44:12: Epoch [7/25], Step [1000/1289], Loss: 0.5122
|
||||
Thu, 08 Sep 2022 12:44:12: Epoch [7/25], Step [1050/1289], Loss: 0.5856
|
||||
Thu, 08 Sep 2022 12:44:13: Epoch [7/25], Step [1100/1289], Loss: 0.5332
|
||||
Thu, 08 Sep 2022 12:44:13: Epoch [7/25], Step [1150/1289], Loss: 0.5453
|
||||
Thu, 08 Sep 2022 12:44:13: Epoch [7/25], Step [1200/1289], Loss: 0.4732
|
||||
Thu, 08 Sep 2022 12:44:14: Epoch [7/25], Step [1250/1289], Loss: 0.5451
|
||||
Thu, 08 Sep 2022 12:44:14: Epoch [8/25], Step [50/1289], Loss: 0.4613
|
||||
Thu, 08 Sep 2022 12:44:14: Epoch [8/25], Step [100/1289], Loss: 0.4990
|
||||
Thu, 08 Sep 2022 12:44:15: Epoch [8/25], Step [150/1289], Loss: 0.5230
|
||||
Thu, 08 Sep 2022 12:44:15: Epoch [8/25], Step [200/1289], Loss: 0.4640
|
||||
Thu, 08 Sep 2022 12:44:15: Epoch [8/25], Step [250/1289], Loss: 0.4955
|
||||
Thu, 08 Sep 2022 12:44:15: Epoch [8/25], Step [300/1289], Loss: 0.4935
|
||||
Thu, 08 Sep 2022 12:44:16: Epoch [8/25], Step [350/1289], Loss: 0.4794
|
||||
Thu, 08 Sep 2022 12:44:16: Epoch [8/25], Step [400/1289], Loss: 0.5285
|
||||
Thu, 08 Sep 2022 12:44:16: Epoch [8/25], Step [450/1289], Loss: 0.5827
|
||||
Thu, 08 Sep 2022 12:44:16: Epoch [8/25], Step [500/1289], Loss: 0.4985
|
||||
Thu, 08 Sep 2022 12:44:17: Epoch [8/25], Step [550/1289], Loss: 0.4368
|
||||
Thu, 08 Sep 2022 12:44:17: Epoch [8/25], Step [600/1289], Loss: 0.5398
|
||||
Thu, 08 Sep 2022 12:44:17: Epoch [8/25], Step [650/1289], Loss: 0.5102
|
||||
Thu, 08 Sep 2022 12:44:17: Epoch [8/25], Step [700/1289], Loss: 0.5198
|
||||
Thu, 08 Sep 2022 12:44:18: Epoch [8/25], Step [750/1289], Loss: 0.5472
|
||||
Thu, 08 Sep 2022 12:44:18: Epoch [8/25], Step [800/1289], Loss: 0.4549
|
||||
Thu, 08 Sep 2022 12:44:18: Epoch [8/25], Step [850/1289], Loss: 0.5259
|
||||
Thu, 08 Sep 2022 12:44:19: Epoch [8/25], Step [900/1289], Loss: 0.4986
|
||||
Thu, 08 Sep 2022 12:44:19: Epoch [8/25], Step [950/1289], Loss: 0.5847
|
||||
Thu, 08 Sep 2022 12:44:19: Epoch [8/25], Step [1000/1289], Loss: 0.5067
|
||||
Thu, 08 Sep 2022 12:44:19: Epoch [8/25], Step [1050/1289], Loss: 0.4801
|
||||
Thu, 08 Sep 2022 12:44:20: Epoch [8/25], Step [1100/1289], Loss: 0.5944
|
||||
Thu, 08 Sep 2022 12:44:20: Epoch [8/25], Step [1150/1289], Loss: 0.5811
|
||||
Thu, 08 Sep 2022 12:44:20: Epoch [8/25], Step [1200/1289], Loss: 0.4937
|
||||
Thu, 08 Sep 2022 12:44:20: Epoch [8/25], Step [1250/1289], Loss: 0.5099
|
||||
Thu, 08 Sep 2022 12:44:21: Epoch [9/25], Step [50/1289], Loss: 0.4802
|
||||
Thu, 08 Sep 2022 12:44:21: Epoch [9/25], Step [100/1289], Loss: 0.4679
|
||||
Thu, 08 Sep 2022 12:44:21: Epoch [9/25], Step [150/1289], Loss: 0.5989
|
||||
Thu, 08 Sep 2022 12:44:22: Epoch [9/25], Step [200/1289], Loss: 0.4914
|
||||
Thu, 08 Sep 2022 12:44:22: Epoch [9/25], Step [250/1289], Loss: 0.5140
|
||||
Thu, 08 Sep 2022 12:44:22: Epoch [9/25], Step [300/1289], Loss: 0.4380
|
||||
Thu, 08 Sep 2022 12:44:23: Epoch [9/25], Step [350/1289], Loss: 0.4910
|
||||
Thu, 08 Sep 2022 12:44:23: Epoch [9/25], Step [400/1289], Loss: 0.4742
|
||||
Thu, 08 Sep 2022 12:44:23: Epoch [9/25], Step [450/1289], Loss: 0.4848
|
||||
Thu, 08 Sep 2022 12:44:23: Epoch [9/25], Step [500/1289], Loss: 0.5744
|
||||
Thu, 08 Sep 2022 12:44:24: Epoch [9/25], Step [550/1289], Loss: 0.5036
|
||||
Thu, 08 Sep 2022 12:44:24: Epoch [9/25], Step [600/1289], Loss: 0.5212
|
||||
Thu, 08 Sep 2022 12:44:24: Epoch [9/25], Step [650/1289], Loss: 0.5409
|
||||
Thu, 08 Sep 2022 12:44:24: Epoch [9/25], Step [700/1289], Loss: 0.5461
|
||||
Thu, 08 Sep 2022 12:44:25: Epoch [9/25], Step [750/1289], Loss: 0.4359
|
||||
Thu, 08 Sep 2022 12:44:25: Epoch [9/25], Step [800/1289], Loss: 0.5013
|
||||
Thu, 08 Sep 2022 12:44:25: Epoch [9/25], Step [850/1289], Loss: 0.5295
|
||||
Thu, 08 Sep 2022 12:44:25: Epoch [9/25], Step [900/1289], Loss: 0.5351
|
||||
Thu, 08 Sep 2022 12:44:26: Epoch [9/25], Step [950/1289], Loss: 0.5944
|
||||
Thu, 08 Sep 2022 12:44:26: Epoch [9/25], Step [1000/1289], Loss: 0.5111
|
||||
Thu, 08 Sep 2022 12:44:26: Epoch [9/25], Step [1050/1289], Loss: 0.5813
|
||||
Thu, 08 Sep 2022 12:44:27: Epoch [9/25], Step [1100/1289], Loss: 0.5526
|
||||
Thu, 08 Sep 2022 12:44:27: Epoch [9/25], Step [1150/1289], Loss: 0.4313
|
||||
Thu, 08 Sep 2022 12:44:27: Epoch [9/25], Step [1200/1289], Loss: 0.5648
|
||||
Thu, 08 Sep 2022 12:44:27: Epoch [9/25], Step [1250/1289], Loss: 0.4444
|
||||
Thu, 08 Sep 2022 12:44:28: Epoch [10/25], Step [50/1289], Loss: 0.5192
|
||||
Thu, 08 Sep 2022 12:44:28: Epoch [10/25], Step [100/1289], Loss: 0.4337
|
||||
Thu, 08 Sep 2022 12:44:28: Epoch [10/25], Step [150/1289], Loss: 0.4774
|
||||
Thu, 08 Sep 2022 12:44:29: Epoch [10/25], Step [200/1289], Loss: 0.5358
|
||||
Thu, 08 Sep 2022 12:44:29: Epoch [10/25], Step [250/1289], Loss: 0.4777
|
||||
Thu, 08 Sep 2022 12:44:29: Epoch [10/25], Step [300/1289], Loss: 0.5538
|
||||
Thu, 08 Sep 2022 12:44:29: Epoch [10/25], Step [350/1289], Loss: 0.4950
|
||||
Thu, 08 Sep 2022 12:44:30: Epoch [10/25], Step [400/1289], Loss: 0.4963
|
||||
Thu, 08 Sep 2022 12:44:30: Epoch [10/25], Step [450/1289], Loss: 0.4664
|
||||
Thu, 08 Sep 2022 12:44:30: Epoch [10/25], Step [500/1289], Loss: 0.4836
|
||||
Thu, 08 Sep 2022 12:44:30: Epoch [10/25], Step [550/1289], Loss: 0.5338
|
||||
Thu, 08 Sep 2022 12:44:31: Epoch [10/25], Step [600/1289], Loss: 0.4658
|
||||
Thu, 08 Sep 2022 12:44:31: Epoch [10/25], Step [650/1289], Loss: 0.4625
|
||||
Thu, 08 Sep 2022 12:44:31: Epoch [10/25], Step [700/1289], Loss: 0.5465
|
||||
Thu, 08 Sep 2022 12:44:32: Epoch [10/25], Step [750/1289], Loss: 0.5071
|
||||
Thu, 08 Sep 2022 12:44:32: Epoch [10/25], Step [800/1289], Loss: 0.5570
|
||||
Thu, 08 Sep 2022 12:44:32: Epoch [10/25], Step [850/1289], Loss: 0.5793
|
||||
Thu, 08 Sep 2022 12:44:32: Epoch [10/25], Step [900/1289], Loss: 0.5454
|
||||
Thu, 08 Sep 2022 12:44:33: Epoch [10/25], Step [950/1289], Loss: 0.4653
|
||||
Thu, 08 Sep 2022 12:44:33: Epoch [10/25], Step [1000/1289], Loss: 0.4979
|
||||
Thu, 08 Sep 2022 12:44:33: Epoch [10/25], Step [1050/1289], Loss: 0.4777
|
||||
Thu, 08 Sep 2022 12:44:33: Epoch [10/25], Step [1100/1289], Loss: 0.3969
|
||||
Thu, 08 Sep 2022 12:44:34: Epoch [10/25], Step [1150/1289], Loss: 0.4488
|
||||
Thu, 08 Sep 2022 12:44:34: Epoch [10/25], Step [1200/1289], Loss: 0.4916
|
||||
Thu, 08 Sep 2022 12:44:34: Epoch [10/25], Step [1250/1289], Loss: 0.4661
|
||||
Thu, 08 Sep 2022 12:44:35: Epoch [11/25], Step [50/1289], Loss: 0.4915
|
||||
Thu, 08 Sep 2022 12:44:35: Epoch [11/25], Step [100/1289], Loss: 0.4593
|
||||
Thu, 08 Sep 2022 12:44:35: Epoch [11/25], Step [150/1289], Loss: 0.4580
|
||||
Thu, 08 Sep 2022 12:44:35: Epoch [11/25], Step [200/1289], Loss: 0.4014
|
||||
Thu, 08 Sep 2022 12:44:36: Epoch [11/25], Step [250/1289], Loss: 0.4657
|
||||
Thu, 08 Sep 2022 12:44:36: Epoch [11/25], Step [300/1289], Loss: 0.4477
|
||||
Thu, 08 Sep 2022 12:44:36: Epoch [11/25], Step [350/1289], Loss: 0.4975
|
||||
Thu, 08 Sep 2022 12:44:36: Epoch [11/25], Step [400/1289], Loss: 0.4288
|
||||
Thu, 08 Sep 2022 12:44:37: Epoch [11/25], Step [450/1289], Loss: 0.5657
|
||||
Thu, 08 Sep 2022 12:44:37: Epoch [11/25], Step [500/1289], Loss: 0.5358
|
||||
Thu, 08 Sep 2022 12:44:37: Epoch [11/25], Step [550/1289], Loss: 0.4087
|
||||
Thu, 08 Sep 2022 12:44:38: Epoch [11/25], Step [600/1289], Loss: 0.5253
|
||||
Thu, 08 Sep 2022 12:44:38: Epoch [11/25], Step [650/1289], Loss: 0.5416
|
||||
Thu, 08 Sep 2022 12:44:38: Epoch [11/25], Step [700/1289], Loss: 0.5054
|
||||
Thu, 08 Sep 2022 12:44:38: Epoch [11/25], Step [750/1289], Loss: 0.4584
|
||||
Thu, 08 Sep 2022 12:44:39: Epoch [11/25], Step [800/1289], Loss: 0.4478
|
||||
Thu, 08 Sep 2022 12:44:39: Epoch [11/25], Step [850/1289], Loss: 0.4845
|
||||
Thu, 08 Sep 2022 12:44:39: Epoch [11/25], Step [900/1289], Loss: 0.4436
|
||||
Thu, 08 Sep 2022 12:44:39: Epoch [11/25], Step [950/1289], Loss: 0.5333
|
||||
Thu, 08 Sep 2022 12:44:40: Epoch [11/25], Step [1000/1289], Loss: 0.4323
|
||||
Thu, 08 Sep 2022 12:44:40: Epoch [11/25], Step [1050/1289], Loss: 0.5012
|
||||
Thu, 08 Sep 2022 12:44:40: Epoch [11/25], Step [1100/1289], Loss: 0.4565
|
||||
Thu, 08 Sep 2022 12:44:40: Epoch [11/25], Step [1150/1289], Loss: 0.4159
|
||||
Thu, 08 Sep 2022 12:44:41: Epoch [11/25], Step [1200/1289], Loss: 0.4151
|
||||
Thu, 08 Sep 2022 12:44:41: Epoch [11/25], Step [1250/1289], Loss: 0.4639
|
||||
Thu, 08 Sep 2022 12:44:41: Epoch [12/25], Step [50/1289], Loss: 0.4764
|
||||
Thu, 08 Sep 2022 12:44:42: Epoch [12/25], Step [100/1289], Loss: 0.5002
|
||||
Thu, 08 Sep 2022 12:44:42: Epoch [12/25], Step [150/1289], Loss: 0.4569
|
||||
Thu, 08 Sep 2022 12:44:42: Epoch [12/25], Step [200/1289], Loss: 0.4552
|
||||
Thu, 08 Sep 2022 12:44:42: Epoch [12/25], Step [250/1289], Loss: 0.5070
|
||||
Thu, 08 Sep 2022 12:44:43: Epoch [12/25], Step [300/1289], Loss: 0.4751
|
||||
Thu, 08 Sep 2022 12:44:43: Epoch [12/25], Step [350/1289], Loss: 0.5424
|
||||
Thu, 08 Sep 2022 12:44:43: Epoch [12/25], Step [400/1289], Loss: 0.4744
|
||||
Thu, 08 Sep 2022 12:44:44: Epoch [12/25], Step [450/1289], Loss: 0.4956
|
||||
Thu, 08 Sep 2022 12:44:44: Epoch [12/25], Step [500/1289], Loss: 0.4946
|
||||
Thu, 08 Sep 2022 12:44:44: Epoch [12/25], Step [550/1289], Loss: 0.4643
|
||||
Thu, 08 Sep 2022 12:44:44: Epoch [12/25], Step [600/1289], Loss: 0.4778
|
||||
Thu, 08 Sep 2022 12:44:45: Epoch [12/25], Step [650/1289], Loss: 0.5583
|
||||
Thu, 08 Sep 2022 12:44:45: Epoch [12/25], Step [700/1289], Loss: 0.4671
|
||||
Thu, 08 Sep 2022 12:44:45: Epoch [12/25], Step [750/1289], Loss: 0.5128
|
||||
Thu, 08 Sep 2022 12:44:45: Epoch [12/25], Step [800/1289], Loss: 0.4458
|
||||
Thu, 08 Sep 2022 12:44:46: Epoch [12/25], Step [850/1289], Loss: 0.3992
|
||||
Thu, 08 Sep 2022 12:44:46: Epoch [12/25], Step [900/1289], Loss: 0.4490
|
||||
Thu, 08 Sep 2022 12:44:46: Epoch [12/25], Step [950/1289], Loss: 0.4137
|
||||
Thu, 08 Sep 2022 12:44:46: Epoch [12/25], Step [1000/1289], Loss: 0.4373
|
||||
Thu, 08 Sep 2022 12:44:47: Epoch [12/25], Step [1050/1289], Loss: 0.4584
|
||||
Thu, 08 Sep 2022 12:44:47: Epoch [12/25], Step [1100/1289], Loss: 0.4152
|
||||
Thu, 08 Sep 2022 12:44:47: Epoch [12/25], Step [1150/1289], Loss: 0.4363
|
||||
Thu, 08 Sep 2022 12:44:47: Epoch [12/25], Step [1200/1289], Loss: 0.5363
|
||||
Thu, 08 Sep 2022 12:44:48: Epoch [12/25], Step [1250/1289], Loss: 0.4533
|
||||
Thu, 08 Sep 2022 12:44:48: Epoch [13/25], Step [50/1289], Loss: 0.4543
|
||||
Thu, 08 Sep 2022 12:44:48: Epoch [13/25], Step [100/1289], Loss: 0.4343
|
||||
Thu, 08 Sep 2022 12:44:49: Epoch [13/25], Step [150/1289], Loss: 0.4129
|
||||
Thu, 08 Sep 2022 12:44:49: Epoch [13/25], Step [200/1289], Loss: 0.4340
|
||||
Thu, 08 Sep 2022 12:44:49: Epoch [13/25], Step [250/1289], Loss: 0.4808
|
||||
Thu, 08 Sep 2022 12:44:50: Epoch [13/25], Step [300/1289], Loss: 0.4929
|
||||
Thu, 08 Sep 2022 12:44:50: Epoch [13/25], Step [350/1289], Loss: 0.5520
|
||||
Thu, 08 Sep 2022 12:44:50: Epoch [13/25], Step [400/1289], Loss: 0.5487
|
||||
Thu, 08 Sep 2022 12:44:50: Epoch [13/25], Step [450/1289], Loss: 0.3715
|
||||
Thu, 08 Sep 2022 12:44:51: Epoch [13/25], Step [500/1289], Loss: 0.4186
|
||||
Thu, 08 Sep 2022 12:44:51: Epoch [13/25], Step [550/1289], Loss: 0.4341
|
||||
Thu, 08 Sep 2022 12:44:51: Epoch [13/25], Step [600/1289], Loss: 0.5114
|
||||
Thu, 08 Sep 2022 12:44:51: Epoch [13/25], Step [650/1289], Loss: 0.4447
|
||||
Thu, 08 Sep 2022 12:44:52: Epoch [13/25], Step [700/1289], Loss: 0.5211
|
||||
Thu, 08 Sep 2022 12:44:52: Epoch [13/25], Step [750/1289], Loss: 0.3703
|
||||
Thu, 08 Sep 2022 12:44:52: Epoch [13/25], Step [800/1289], Loss: 0.4300
|
||||
Thu, 08 Sep 2022 12:44:52: Epoch [13/25], Step [850/1289], Loss: 0.4451
|
||||
Thu, 08 Sep 2022 12:44:53: Epoch [13/25], Step [900/1289], Loss: 0.4440
|
||||
Thu, 08 Sep 2022 12:44:53: Epoch [13/25], Step [950/1289], Loss: 0.4354
|
||||
Thu, 08 Sep 2022 12:44:53: Epoch [13/25], Step [1000/1289], Loss: 0.4656
|
||||
Thu, 08 Sep 2022 12:44:53: Epoch [13/25], Step [1050/1289], Loss: 0.5254
|
||||
Thu, 08 Sep 2022 12:44:54: Epoch [13/25], Step [1100/1289], Loss: 0.4817
|
||||
Thu, 08 Sep 2022 12:44:54: Epoch [13/25], Step [1150/1289], Loss: 0.5199
|
||||
Thu, 08 Sep 2022 12:44:54: Epoch [13/25], Step [1200/1289], Loss: 0.5258
|
||||
Thu, 08 Sep 2022 12:44:55: Epoch [13/25], Step [1250/1289], Loss: 0.5052
|
||||
Thu, 08 Sep 2022 12:44:55: Epoch [14/25], Step [50/1289], Loss: 0.3865
|
||||
Thu, 08 Sep 2022 12:44:55: Epoch [14/25], Step [100/1289], Loss: 0.4333
|
||||
Thu, 08 Sep 2022 12:44:56: Epoch [14/25], Step [150/1289], Loss: 0.4410
|
||||
Thu, 08 Sep 2022 12:44:56: Epoch [14/25], Step [200/1289], Loss: 0.4051
|
||||
Thu, 08 Sep 2022 12:44:56: Epoch [14/25], Step [250/1289], Loss: 0.4379
|
||||
Thu, 08 Sep 2022 12:44:56: Epoch [14/25], Step [300/1289], Loss: 0.4324
|
||||
Thu, 08 Sep 2022 12:44:57: Epoch [14/25], Step [350/1289], Loss: 0.4198
|
||||
Thu, 08 Sep 2022 12:44:57: Epoch [14/25], Step [400/1289], Loss: 0.4994
|
||||
Thu, 08 Sep 2022 12:44:57: Epoch [14/25], Step [450/1289], Loss: 0.4040
|
||||
Thu, 08 Sep 2022 12:44:57: Epoch [14/25], Step [500/1289], Loss: 0.4448
|
||||
Thu, 08 Sep 2022 12:44:58: Epoch [14/25], Step [550/1289], Loss: 0.5589
|
||||
Thu, 08 Sep 2022 12:44:58: Epoch [14/25], Step [600/1289], Loss: 0.4302
|
||||
Thu, 08 Sep 2022 12:44:58: Epoch [14/25], Step [650/1289], Loss: 0.5252
|
||||
Thu, 08 Sep 2022 12:44:58: Epoch [14/25], Step [700/1289], Loss: 0.4545
|
||||
Thu, 08 Sep 2022 12:44:59: Epoch [14/25], Step [750/1289], Loss: 0.4637
|
||||
Thu, 08 Sep 2022 12:44:59: Epoch [14/25], Step [800/1289], Loss: 0.4632
|
||||
Thu, 08 Sep 2022 12:44:59: Epoch [14/25], Step [850/1289], Loss: 0.4498
|
||||
Thu, 08 Sep 2022 12:45:00: Epoch [14/25], Step [900/1289], Loss: 0.4096
|
||||
Thu, 08 Sep 2022 12:45:00: Epoch [14/25], Step [950/1289], Loss: 0.4218
|
||||
Thu, 08 Sep 2022 12:45:00: Epoch [14/25], Step [1000/1289], Loss: 0.4878
|
||||
Thu, 08 Sep 2022 12:45:00: Epoch [14/25], Step [1050/1289], Loss: 0.4355
|
||||
Thu, 08 Sep 2022 12:45:01: Epoch [14/25], Step [1100/1289], Loss: 0.4910
|
||||
Thu, 08 Sep 2022 12:45:01: Epoch [14/25], Step [1150/1289], Loss: 0.3727
|
||||
Thu, 08 Sep 2022 12:45:01: Epoch [14/25], Step [1200/1289], Loss: 0.4591
|
||||
Thu, 08 Sep 2022 12:45:02: Epoch [14/25], Step [1250/1289], Loss: 0.4462
|
||||
Thu, 08 Sep 2022 12:45:02: Epoch [15/25], Step [50/1289], Loss: 0.4675
|
||||
Thu, 08 Sep 2022 12:45:02: Epoch [15/25], Step [100/1289], Loss: 0.4235
|
||||
Thu, 08 Sep 2022 12:45:03: Epoch [15/25], Step [150/1289], Loss: 0.4157
|
||||
Thu, 08 Sep 2022 12:45:03: Epoch [15/25], Step [200/1289], Loss: 0.4315
|
||||
Thu, 08 Sep 2022 12:45:03: Epoch [15/25], Step [250/1289], Loss: 0.4343
|
||||
Thu, 08 Sep 2022 12:45:03: Epoch [15/25], Step [300/1289], Loss: 0.4557
|
||||
Thu, 08 Sep 2022 12:45:04: Epoch [15/25], Step [350/1289], Loss: 0.4432
|
||||
Thu, 08 Sep 2022 12:45:04: Epoch [15/25], Step [400/1289], Loss: 0.3619
|
||||
Thu, 08 Sep 2022 12:45:04: Epoch [15/25], Step [450/1289], Loss: 0.4336
|
||||
Thu, 08 Sep 2022 12:45:04: Epoch [15/25], Step [500/1289], Loss: 0.4163
|
||||
Thu, 08 Sep 2022 12:45:05: Epoch [15/25], Step [550/1289], Loss: 0.4517
|
||||
Thu, 08 Sep 2022 12:45:05: Epoch [15/25], Step [600/1289], Loss: 0.4882
|
||||
Thu, 08 Sep 2022 12:45:05: Epoch [15/25], Step [650/1289], Loss: 0.4207
|
||||
Thu, 08 Sep 2022 12:45:05: Epoch [15/25], Step [700/1289], Loss: 0.4623
|
||||
Thu, 08 Sep 2022 12:45:06: Epoch [15/25], Step [750/1289], Loss: 0.4023
|
||||
Thu, 08 Sep 2022 12:45:06: Epoch [15/25], Step [800/1289], Loss: 0.4102
|
||||
Thu, 08 Sep 2022 12:45:06: Epoch [15/25], Step [850/1289], Loss: 0.4090
|
||||
Thu, 08 Sep 2022 12:45:07: Epoch [15/25], Step [900/1289], Loss: 0.4311
|
||||
Thu, 08 Sep 2022 12:45:07: Epoch [15/25], Step [950/1289], Loss: 0.4687
|
||||
Thu, 08 Sep 2022 12:45:07: Epoch [15/25], Step [1000/1289], Loss: 0.4536
|
||||
Thu, 08 Sep 2022 12:45:07: Epoch [15/25], Step [1050/1289], Loss: 0.4781
|
||||
Thu, 08 Sep 2022 12:45:08: Epoch [15/25], Step [1100/1289], Loss: 0.4527
|
||||
Thu, 08 Sep 2022 12:45:08: Epoch [15/25], Step [1150/1289], Loss: 0.3939
|
||||
Thu, 08 Sep 2022 12:45:08: Epoch [15/25], Step [1200/1289], Loss: 0.3925
|
||||
Thu, 08 Sep 2022 12:45:08: Epoch [15/25], Step [1250/1289], Loss: 0.4387
|
||||
Thu, 08 Sep 2022 12:45:09: Epoch [16/25], Step [50/1289], Loss: 0.4441
|
||||
Thu, 08 Sep 2022 12:45:09: Epoch [16/25], Step [100/1289], Loss: 0.3838
|
||||
Thu, 08 Sep 2022 12:45:09: Epoch [16/25], Step [150/1289], Loss: 0.4500
|
||||
Thu, 08 Sep 2022 12:45:10: Epoch [16/25], Step [200/1289], Loss: 0.4359
|
||||
Thu, 08 Sep 2022 12:45:10: Epoch [16/25], Step [250/1289], Loss: 0.4312
|
||||
Thu, 08 Sep 2022 12:45:10: Epoch [16/25], Step [300/1289], Loss: 0.3672
|
||||
Thu, 08 Sep 2022 12:45:11: Epoch [16/25], Step [350/1289], Loss: 0.4234
|
||||
Thu, 08 Sep 2022 12:45:11: Epoch [16/25], Step [400/1289], Loss: 0.4738
|
||||
Thu, 08 Sep 2022 12:45:11: Epoch [16/25], Step [450/1289], Loss: 0.4342
|
||||
Thu, 08 Sep 2022 12:45:11: Epoch [16/25], Step [500/1289], Loss: 0.4440
|
||||
Thu, 08 Sep 2022 12:45:12: Epoch [16/25], Step [550/1289], Loss: 0.4053
|
||||
Thu, 08 Sep 2022 12:45:12: Epoch [16/25], Step [600/1289], Loss: 0.4330
|
||||
Thu, 08 Sep 2022 12:45:12: Epoch [16/25], Step [650/1289], Loss: 0.4444
|
||||
Thu, 08 Sep 2022 12:45:12: Epoch [16/25], Step [700/1289], Loss: 0.4803
|
||||
Thu, 08 Sep 2022 12:45:13: Epoch [16/25], Step [750/1289], Loss: 0.4819
|
||||
Thu, 08 Sep 2022 12:45:13: Epoch [16/25], Step [800/1289], Loss: 0.4393
|
||||
Thu, 08 Sep 2022 12:45:13: Epoch [16/25], Step [850/1289], Loss: 0.4188
|
||||
Thu, 08 Sep 2022 12:45:14: Epoch [16/25], Step [900/1289], Loss: 0.5243
|
||||
Thu, 08 Sep 2022 12:45:14: Epoch [16/25], Step [950/1289], Loss: 0.4630
|
||||
Thu, 08 Sep 2022 12:45:14: Epoch [16/25], Step [1000/1289], Loss: 0.4142
|
||||
Thu, 08 Sep 2022 12:45:14: Epoch [16/25], Step [1050/1289], Loss: 0.3611
|
||||
Thu, 08 Sep 2022 12:45:15: Epoch [16/25], Step [1100/1289], Loss: 0.4516
|
||||
Thu, 08 Sep 2022 12:45:15: Epoch [16/25], Step [1150/1289], Loss: 0.4397
|
||||
Thu, 08 Sep 2022 12:45:15: Epoch [16/25], Step [1200/1289], Loss: 0.4594
|
||||
Thu, 08 Sep 2022 12:45:16: Epoch [16/25], Step [1250/1289], Loss: 0.4317
|
||||
Thu, 08 Sep 2022 12:45:16: Epoch [17/25], Step [50/1289], Loss: 0.4796
|
||||
Thu, 08 Sep 2022 12:45:16: Epoch [17/25], Step [100/1289], Loss: 0.4016
|
||||
Thu, 08 Sep 2022 12:45:17: Epoch [17/25], Step [150/1289], Loss: 0.4875
|
||||
Thu, 08 Sep 2022 12:45:17: Epoch [17/25], Step [200/1289], Loss: 0.4978
|
||||
Thu, 08 Sep 2022 12:45:17: Epoch [17/25], Step [250/1289], Loss: 0.4269
|
||||
Thu, 08 Sep 2022 12:45:17: Epoch [17/25], Step [300/1289], Loss: 0.4634
|
||||
Thu, 08 Sep 2022 12:45:18: Epoch [17/25], Step [350/1289], Loss: 0.4034
|
||||
Thu, 08 Sep 2022 12:45:18: Epoch [17/25], Step [400/1289], Loss: 0.4083
|
||||
Thu, 08 Sep 2022 12:45:18: Epoch [17/25], Step [450/1289], Loss: 0.3865
|
||||
Thu, 08 Sep 2022 12:45:19: Epoch [17/25], Step [500/1289], Loss: 0.4344
|
||||
Thu, 08 Sep 2022 12:45:19: Epoch [17/25], Step [550/1289], Loss: 0.4517
|
||||
Thu, 08 Sep 2022 12:45:19: Epoch [17/25], Step [600/1289], Loss: 0.4516
|
||||
Thu, 08 Sep 2022 12:45:19: Epoch [17/25], Step [650/1289], Loss: 0.4652
|
||||
Thu, 08 Sep 2022 12:45:20: Epoch [17/25], Step [700/1289], Loss: 0.4292
|
||||
Thu, 08 Sep 2022 12:45:20: Epoch [17/25], Step [750/1289], Loss: 0.4414
|
||||
Thu, 08 Sep 2022 12:45:20: Epoch [17/25], Step [800/1289], Loss: 0.4171
|
||||
Thu, 08 Sep 2022 12:45:20: Epoch [17/25], Step [850/1289], Loss: 0.3933
|
||||
Thu, 08 Sep 2022 12:45:21: Epoch [17/25], Step [900/1289], Loss: 0.5201
|
||||
Thu, 08 Sep 2022 12:45:21: Epoch [17/25], Step [950/1289], Loss: 0.3923
|
||||
Thu, 08 Sep 2022 12:45:21: Epoch [17/25], Step [1000/1289], Loss: 0.3952
|
||||
Thu, 08 Sep 2022 12:45:22: Epoch [17/25], Step [1050/1289], Loss: 0.5093
|
||||
Thu, 08 Sep 2022 12:45:22: Epoch [17/25], Step [1100/1289], Loss: 0.4413
|
||||
Thu, 08 Sep 2022 12:45:22: Epoch [17/25], Step [1150/1289], Loss: 0.5130
|
||||
Thu, 08 Sep 2022 12:45:22: Epoch [17/25], Step [1200/1289], Loss: 0.3396
|
||||
Thu, 08 Sep 2022 12:45:23: Epoch [17/25], Step [1250/1289], Loss: 0.4091
|
||||
Thu, 08 Sep 2022 12:45:23: Epoch [18/25], Step [50/1289], Loss: 0.4081
|
||||
Thu, 08 Sep 2022 12:45:23: Epoch [18/25], Step [100/1289], Loss: 0.4673
|
||||
Thu, 08 Sep 2022 12:45:24: Epoch [18/25], Step [150/1289], Loss: 0.4455
|
||||
Thu, 08 Sep 2022 12:45:24: Epoch [18/25], Step [200/1289], Loss: 0.4477
|
||||
Thu, 08 Sep 2022 12:45:24: Epoch [18/25], Step [250/1289], Loss: 0.4834
|
||||
Thu, 08 Sep 2022 12:45:24: Epoch [18/25], Step [300/1289], Loss: 0.4657
|
||||
Thu, 08 Sep 2022 12:45:25: Epoch [18/25], Step [350/1289], Loss: 0.4308
|
||||
Thu, 08 Sep 2022 12:45:25: Epoch [18/25], Step [400/1289], Loss: 0.5065
|
||||
Thu, 08 Sep 2022 12:45:25: Epoch [18/25], Step [450/1289], Loss: 0.4374
|
||||
Thu, 08 Sep 2022 12:45:25: Epoch [18/25], Step [500/1289], Loss: 0.4776
|
||||
Thu, 08 Sep 2022 12:45:26: Epoch [18/25], Step [550/1289], Loss: 0.3905
|
||||
Thu, 08 Sep 2022 12:45:26: Epoch [18/25], Step [600/1289], Loss: 0.4600
|
||||
Thu, 08 Sep 2022 12:45:26: Epoch [18/25], Step [650/1289], Loss: 0.4491
|
||||
Thu, 08 Sep 2022 12:45:27: Epoch [18/25], Step [700/1289], Loss: 0.3723
|
||||
Thu, 08 Sep 2022 12:45:27: Epoch [18/25], Step [750/1289], Loss: 0.4850
|
||||
Thu, 08 Sep 2022 12:45:27: Epoch [18/25], Step [800/1289], Loss: 0.4642
|
||||
Thu, 08 Sep 2022 12:45:27: Epoch [18/25], Step [850/1289], Loss: 0.3752
|
||||
Thu, 08 Sep 2022 12:45:28: Epoch [18/25], Step [900/1289], Loss: 0.4852
|
||||
Thu, 08 Sep 2022 12:45:28: Epoch [18/25], Step [950/1289], Loss: 0.4900
|
||||
Thu, 08 Sep 2022 12:45:28: Epoch [18/25], Step [1000/1289], Loss: 0.4344
|
||||
Thu, 08 Sep 2022 12:45:28: Epoch [18/25], Step [1050/1289], Loss: 0.4391
|
||||
Thu, 08 Sep 2022 12:45:29: Epoch [18/25], Step [1100/1289], Loss: 0.3591
|
||||
Thu, 08 Sep 2022 12:45:29: Epoch [18/25], Step [1150/1289], Loss: 0.3783
|
||||
Thu, 08 Sep 2022 12:45:29: Epoch [18/25], Step [1200/1289], Loss: 0.4155
|
||||
Thu, 08 Sep 2022 12:45:29: Epoch [18/25], Step [1250/1289], Loss: 0.4100
|
||||
Thu, 08 Sep 2022 12:45:30: Epoch [19/25], Step [50/1289], Loss: 0.3445
|
||||
Thu, 08 Sep 2022 12:45:30: Epoch [19/25], Step [100/1289], Loss: 0.4066
|
||||
Thu, 08 Sep 2022 12:45:31: Epoch [19/25], Step [150/1289], Loss: 0.4571
|
||||
Thu, 08 Sep 2022 12:45:31: Epoch [19/25], Step [200/1289], Loss: 0.4298
|
||||
Thu, 08 Sep 2022 12:45:31: Epoch [19/25], Step [250/1289], Loss: 0.3947
|
||||
Thu, 08 Sep 2022 12:45:31: Epoch [19/25], Step [300/1289], Loss: 0.4200
|
||||
Thu, 08 Sep 2022 12:45:32: Epoch [19/25], Step [350/1289], Loss: 0.4404
|
||||
Thu, 08 Sep 2022 12:45:32: Epoch [19/25], Step [400/1289], Loss: 0.4407
|
||||
Thu, 08 Sep 2022 12:45:32: Epoch [19/25], Step [450/1289], Loss: 0.3721
|
||||
Thu, 08 Sep 2022 12:45:32: Epoch [19/25], Step [500/1289], Loss: 0.4282
|
||||
Thu, 08 Sep 2022 12:45:33: Epoch [19/25], Step [550/1289], Loss: 0.4086
|
||||
Thu, 08 Sep 2022 12:45:33: Epoch [19/25], Step [600/1289], Loss: 0.4815
|
||||
Thu, 08 Sep 2022 12:45:33: Epoch [19/25], Step [650/1289], Loss: 0.4251
|
||||
Thu, 08 Sep 2022 12:45:33: Epoch [19/25], Step [700/1289], Loss: 0.4281
|
||||
Thu, 08 Sep 2022 12:45:34: Epoch [19/25], Step [750/1289], Loss: 0.4683
|
||||
Thu, 08 Sep 2022 12:45:34: Epoch [19/25], Step [800/1289], Loss: 0.4388
|
||||
Thu, 08 Sep 2022 12:45:34: Epoch [19/25], Step [850/1289], Loss: 0.4086
|
||||
Thu, 08 Sep 2022 12:45:35: Epoch [19/25], Step [900/1289], Loss: 0.4922
|
||||
Thu, 08 Sep 2022 12:45:35: Epoch [19/25], Step [950/1289], Loss: 0.4401
|
||||
Thu, 08 Sep 2022 12:45:35: Epoch [19/25], Step [1000/1289], Loss: 0.4490
|
||||
Thu, 08 Sep 2022 12:45:35: Epoch [19/25], Step [1050/1289], Loss: 0.4814
|
||||
Thu, 08 Sep 2022 12:45:36: Epoch [19/25], Step [1100/1289], Loss: 0.4163
|
||||
Thu, 08 Sep 2022 12:45:36: Epoch [19/25], Step [1150/1289], Loss: 0.4210
|
||||
Thu, 08 Sep 2022 12:45:36: Epoch [19/25], Step [1200/1289], Loss: 0.4361
|
||||
Thu, 08 Sep 2022 12:45:36: Epoch [19/25], Step [1250/1289], Loss: 0.4395
|
||||
Thu, 08 Sep 2022 12:45:37: Epoch [20/25], Step [50/1289], Loss: 0.3971
|
||||
Thu, 08 Sep 2022 12:45:37: Epoch [20/25], Step [100/1289], Loss: 0.4481
|
||||
Thu, 08 Sep 2022 12:45:37: Epoch [20/25], Step [150/1289], Loss: 0.3767
|
||||
Thu, 08 Sep 2022 12:45:38: Epoch [20/25], Step [200/1289], Loss: 0.4313
|
||||
Thu, 08 Sep 2022 12:45:38: Epoch [20/25], Step [250/1289], Loss: 0.3880
|
||||
Thu, 08 Sep 2022 12:45:38: Epoch [20/25], Step [300/1289], Loss: 0.4561
|
||||
Thu, 08 Sep 2022 12:45:38: Epoch [20/25], Step [350/1289], Loss: 0.3477
|
||||
Thu, 08 Sep 2022 12:45:39: Epoch [20/25], Step [400/1289], Loss: 0.4148
|
||||
Thu, 08 Sep 2022 12:45:39: Epoch [20/25], Step [450/1289], Loss: 0.4698
|
||||
Thu, 08 Sep 2022 12:45:39: Epoch [20/25], Step [500/1289], Loss: 0.4209
|
||||
Thu, 08 Sep 2022 12:45:40: Epoch [20/25], Step [550/1289], Loss: 0.4037
|
||||
Thu, 08 Sep 2022 12:45:40: Epoch [20/25], Step [600/1289], Loss: 0.3846
|
||||
Thu, 08 Sep 2022 12:45:40: Epoch [20/25], Step [650/1289], Loss: 0.4222
|
||||
Thu, 08 Sep 2022 12:45:40: Epoch [20/25], Step [700/1289], Loss: 0.4211
|
||||
Thu, 08 Sep 2022 12:45:41: Epoch [20/25], Step [750/1289], Loss: 0.3851
|
||||
Thu, 08 Sep 2022 12:45:41: Epoch [20/25], Step [800/1289], Loss: 0.4754
|
||||
Thu, 08 Sep 2022 12:45:41: Epoch [20/25], Step [850/1289], Loss: 0.3689
|
||||
Thu, 08 Sep 2022 12:45:41: Epoch [20/25], Step [900/1289], Loss: 0.4159
|
||||
Thu, 08 Sep 2022 12:45:42: Epoch [20/25], Step [950/1289], Loss: 0.4483
|
||||
Thu, 08 Sep 2022 12:45:42: Epoch [20/25], Step [1000/1289], Loss: 0.4035
|
||||
Thu, 08 Sep 2022 12:45:42: Epoch [20/25], Step [1050/1289], Loss: 0.4339
|
||||
Thu, 08 Sep 2022 12:45:42: Epoch [20/25], Step [1100/1289], Loss: 0.4417
|
||||
Thu, 08 Sep 2022 12:45:43: Epoch [20/25], Step [1150/1289], Loss: 0.3907
|
||||
Thu, 08 Sep 2022 12:45:43: Epoch [20/25], Step [1200/1289], Loss: 0.4174
|
||||
Thu, 08 Sep 2022 12:45:43: Epoch [20/25], Step [1250/1289], Loss: 0.4894
|
||||
Thu, 08 Sep 2022 12:45:44: Epoch [21/25], Step [50/1289], Loss: 0.4156
|
||||
Thu, 08 Sep 2022 12:45:44: Epoch [21/25], Step [100/1289], Loss: 0.4241
|
||||
Thu, 08 Sep 2022 12:45:44: Epoch [21/25], Step [150/1289], Loss: 0.3968
|
||||
Thu, 08 Sep 2022 12:45:45: Epoch [21/25], Step [200/1289], Loss: 0.4100
|
||||
Thu, 08 Sep 2022 12:45:45: Epoch [21/25], Step [250/1289], Loss: 0.4451
|
||||
Thu, 08 Sep 2022 12:45:45: Epoch [21/25], Step [300/1289], Loss: 0.4471
|
||||
Thu, 08 Sep 2022 12:45:45: Epoch [21/25], Step [350/1289], Loss: 0.4467
|
||||
Thu, 08 Sep 2022 12:45:46: Epoch [21/25], Step [400/1289], Loss: 0.4228
|
||||
Thu, 08 Sep 2022 12:45:46: Epoch [21/25], Step [450/1289], Loss: 0.4594
|
||||
Thu, 08 Sep 2022 12:45:46: Epoch [21/25], Step [500/1289], Loss: 0.4895
|
||||
Thu, 08 Sep 2022 12:45:46: Epoch [21/25], Step [550/1289], Loss: 0.4252
|
||||
Thu, 08 Sep 2022 12:45:47: Epoch [21/25], Step [600/1289], Loss: 0.4284
|
||||
Thu, 08 Sep 2022 12:45:47: Epoch [21/25], Step [650/1289], Loss: 0.4434
|
||||
Thu, 08 Sep 2022 12:45:47: Epoch [21/25], Step [700/1289], Loss: 0.4626
|
||||
Thu, 08 Sep 2022 12:45:47: Epoch [21/25], Step [750/1289], Loss: 0.3994
|
||||
Thu, 08 Sep 2022 12:45:48: Epoch [21/25], Step [800/1289], Loss: 0.4334
|
||||
Thu, 08 Sep 2022 12:45:48: Epoch [21/25], Step [850/1289], Loss: 0.4085
|
||||
Thu, 08 Sep 2022 12:45:48: Epoch [21/25], Step [900/1289], Loss: 0.3763
|
||||
Thu, 08 Sep 2022 12:45:49: Epoch [21/25], Step [950/1289], Loss: 0.4879
|
||||
Thu, 08 Sep 2022 12:45:49: Epoch [21/25], Step [1000/1289], Loss: 0.4140
|
||||
Thu, 08 Sep 2022 12:45:49: Epoch [21/25], Step [1050/1289], Loss: 0.3822
|
||||
Thu, 08 Sep 2022 12:45:49: Epoch [21/25], Step [1100/1289], Loss: 0.4389
|
||||
Thu, 08 Sep 2022 12:45:50: Epoch [21/25], Step [1150/1289], Loss: 0.4348
|
||||
Thu, 08 Sep 2022 12:45:50: Epoch [21/25], Step [1200/1289], Loss: 0.4908
|
||||
Thu, 08 Sep 2022 12:45:50: Epoch [21/25], Step [1250/1289], Loss: 0.3981
|
||||
Thu, 08 Sep 2022 12:45:51: Epoch [22/25], Step [50/1289], Loss: 0.3890
|
||||
Thu, 08 Sep 2022 12:45:51: Epoch [22/25], Step [100/1289], Loss: 0.3992
|
||||
Thu, 08 Sep 2022 12:45:51: Epoch [22/25], Step [150/1289], Loss: 0.4161
|
||||
Thu, 08 Sep 2022 12:45:51: Epoch [22/25], Step [200/1289], Loss: 0.4554
|
||||
Thu, 08 Sep 2022 12:45:52: Epoch [22/25], Step [250/1289], Loss: 0.3756
|
||||
Thu, 08 Sep 2022 12:45:52: Epoch [22/25], Step [300/1289], Loss: 0.3908
|
||||
Thu, 08 Sep 2022 12:45:52: Epoch [22/25], Step [350/1289], Loss: 0.3994
|
||||
Thu, 08 Sep 2022 12:45:52: Epoch [22/25], Step [400/1289], Loss: 0.3680
|
||||
Thu, 08 Sep 2022 12:45:53: Epoch [22/25], Step [450/1289], Loss: 0.3804
|
||||
Thu, 08 Sep 2022 12:45:53: Epoch [22/25], Step [500/1289], Loss: 0.4332
|
||||
Thu, 08 Sep 2022 12:45:53: Epoch [22/25], Step [550/1289], Loss: 0.4288
|
||||
Thu, 08 Sep 2022 12:45:54: Epoch [22/25], Step [600/1289], Loss: 0.4137
|
||||
Thu, 08 Sep 2022 12:45:54: Epoch [22/25], Step [650/1289], Loss: 0.3977
|
||||
Thu, 08 Sep 2022 12:45:54: Epoch [22/25], Step [700/1289], Loss: 0.4515
|
||||
Thu, 08 Sep 2022 12:45:54: Epoch [22/25], Step [750/1289], Loss: 0.4245
|
||||
Thu, 08 Sep 2022 12:45:55: Epoch [22/25], Step [800/1289], Loss: 0.4461
|
||||
Thu, 08 Sep 2022 12:45:55: Epoch [22/25], Step [850/1289], Loss: 0.3731
|
||||
Thu, 08 Sep 2022 12:45:55: Epoch [22/25], Step [900/1289], Loss: 0.3721
|
||||
Thu, 08 Sep 2022 12:45:55: Epoch [22/25], Step [950/1289], Loss: 0.3794
|
||||
Thu, 08 Sep 2022 12:45:56: Epoch [22/25], Step [1000/1289], Loss: 0.3833
|
||||
Thu, 08 Sep 2022 12:45:56: Epoch [22/25], Step [1050/1289], Loss: 0.4344
|
||||
Thu, 08 Sep 2022 12:45:56: Epoch [22/25], Step [1100/1289], Loss: 0.4353
|
||||
Thu, 08 Sep 2022 12:45:56: Epoch [22/25], Step [1150/1289], Loss: 0.4736
|
||||
Thu, 08 Sep 2022 12:45:57: Epoch [22/25], Step [1200/1289], Loss: 0.4214
|
||||
Thu, 08 Sep 2022 12:45:57: Epoch [22/25], Step [1250/1289], Loss: 0.4096
|
||||
Thu, 08 Sep 2022 12:45:57: Epoch [23/25], Step [50/1289], Loss: 0.4700
|
||||
Thu, 08 Sep 2022 12:45:58: Epoch [23/25], Step [100/1289], Loss: 0.3870
|
||||
Thu, 08 Sep 2022 12:45:58: Epoch [23/25], Step [150/1289], Loss: 0.4437
|
||||
Thu, 08 Sep 2022 12:45:58: Epoch [23/25], Step [200/1289], Loss: 0.4090
|
||||
Thu, 08 Sep 2022 12:45:59: Epoch [23/25], Step [250/1289], Loss: 0.3654
|
||||
Thu, 08 Sep 2022 12:45:59: Epoch [23/25], Step [300/1289], Loss: 0.3853
|
||||
Thu, 08 Sep 2022 12:45:59: Epoch [23/25], Step [350/1289], Loss: 0.4863
|
||||
Thu, 08 Sep 2022 12:45:59: Epoch [23/25], Step [400/1289], Loss: 0.4536
|
||||
Thu, 08 Sep 2022 12:46:00: Epoch [23/25], Step [450/1289], Loss: 0.4178
|
||||
Thu, 08 Sep 2022 12:46:00: Epoch [23/25], Step [500/1289], Loss: 0.4457
|
||||
Thu, 08 Sep 2022 12:46:00: Epoch [23/25], Step [550/1289], Loss: 0.4590
|
||||
Thu, 08 Sep 2022 12:46:00: Epoch [23/25], Step [600/1289], Loss: 0.4399
|
||||
Thu, 08 Sep 2022 12:46:01: Epoch [23/25], Step [650/1289], Loss: 0.4219
|
||||
Thu, 08 Sep 2022 12:46:01: Epoch [23/25], Step [700/1289], Loss: 0.3953
|
||||
Thu, 08 Sep 2022 12:46:01: Epoch [23/25], Step [750/1289], Loss: 0.4584
|
||||
Thu, 08 Sep 2022 12:46:02: Epoch [23/25], Step [800/1289], Loss: 0.4590
|
||||
Thu, 08 Sep 2022 12:46:02: Epoch [23/25], Step [850/1289], Loss: 0.3780
|
||||
Thu, 08 Sep 2022 12:46:02: Epoch [23/25], Step [900/1289], Loss: 0.4656
|
||||
Thu, 08 Sep 2022 12:46:02: Epoch [23/25], Step [950/1289], Loss: 0.4072
|
||||
Thu, 08 Sep 2022 12:46:03: Epoch [23/25], Step [1000/1289], Loss: 0.4265
|
||||
Thu, 08 Sep 2022 12:46:03: Epoch [23/25], Step [1050/1289], Loss: 0.4172
|
||||
Thu, 08 Sep 2022 12:46:03: Epoch [23/25], Step [1100/1289], Loss: 0.3852
|
||||
Thu, 08 Sep 2022 12:46:03: Epoch [23/25], Step [1150/1289], Loss: 0.4277
|
||||
Thu, 08 Sep 2022 12:46:04: Epoch [23/25], Step [1200/1289], Loss: 0.4178
|
||||
Thu, 08 Sep 2022 12:46:04: Epoch [23/25], Step [1250/1289], Loss: 0.3753
|
||||
Thu, 08 Sep 2022 12:46:04: Epoch [24/25], Step [50/1289], Loss: 0.4702
|
||||
Thu, 08 Sep 2022 12:46:05: Epoch [24/25], Step [100/1289], Loss: 0.3694
|
||||
Thu, 08 Sep 2022 12:46:05: Epoch [24/25], Step [150/1289], Loss: 0.4519
|
||||
Thu, 08 Sep 2022 12:46:05: Epoch [24/25], Step [200/1289], Loss: 0.3656
|
||||
Thu, 08 Sep 2022 12:46:06: Epoch [24/25], Step [250/1289], Loss: 0.4735
|
||||
Thu, 08 Sep 2022 12:46:06: Epoch [24/25], Step [300/1289], Loss: 0.3673
|
||||
Thu, 08 Sep 2022 12:46:06: Epoch [24/25], Step [350/1289], Loss: 0.4361
|
||||
Thu, 08 Sep 2022 12:46:06: Epoch [24/25], Step [400/1289], Loss: 0.3798
|
||||
Thu, 08 Sep 2022 12:46:07: Epoch [24/25], Step [450/1289], Loss: 0.3950
|
||||
Thu, 08 Sep 2022 12:46:07: Epoch [24/25], Step [500/1289], Loss: 0.4383
|
||||
Thu, 08 Sep 2022 12:46:07: Epoch [24/25], Step [550/1289], Loss: 0.4173
|
||||
Thu, 08 Sep 2022 12:46:07: Epoch [24/25], Step [600/1289], Loss: 0.3785
|
||||
Thu, 08 Sep 2022 12:46:08: Epoch [24/25], Step [650/1289], Loss: 0.3953
|
||||
Thu, 08 Sep 2022 12:46:08: Epoch [24/25], Step [700/1289], Loss: 0.3838
|
||||
Thu, 08 Sep 2022 12:46:08: Epoch [24/25], Step [750/1289], Loss: 0.4041
|
||||
Thu, 08 Sep 2022 12:46:08: Epoch [24/25], Step [800/1289], Loss: 0.3729
|
||||
Thu, 08 Sep 2022 12:46:09: Epoch [24/25], Step [850/1289], Loss: 0.4436
|
||||
Thu, 08 Sep 2022 12:46:09: Epoch [24/25], Step [900/1289], Loss: 0.3880
|
||||
Thu, 08 Sep 2022 12:46:09: Epoch [24/25], Step [950/1289], Loss: 0.4860
|
||||
Thu, 08 Sep 2022 12:46:10: Epoch [24/25], Step [1000/1289], Loss: 0.4475
|
||||
Thu, 08 Sep 2022 12:46:10: Epoch [24/25], Step [1050/1289], Loss: 0.3624
|
||||
Thu, 08 Sep 2022 12:46:10: Epoch [24/25], Step [1100/1289], Loss: 0.4674
|
||||
Thu, 08 Sep 2022 12:46:10: Epoch [24/25], Step [1150/1289], Loss: 0.2897
|
||||
Thu, 08 Sep 2022 12:46:11: Epoch [24/25], Step [1200/1289], Loss: 0.3959
|
||||
Thu, 08 Sep 2022 12:46:11: Epoch [24/25], Step [1250/1289], Loss: 0.4469
|
||||
Thu, 08 Sep 2022 12:46:11: Epoch [25/25], Step [50/1289], Loss: 0.4241
|
||||
Thu, 08 Sep 2022 12:46:12: Epoch [25/25], Step [100/1289], Loss: 0.4212
|
||||
Thu, 08 Sep 2022 12:46:12: Epoch [25/25], Step [150/1289], Loss: 0.4294
|
||||
Thu, 08 Sep 2022 12:46:12: Epoch [25/25], Step [200/1289], Loss: 0.4009
|
||||
Thu, 08 Sep 2022 12:46:12: Epoch [25/25], Step [250/1289], Loss: 0.4149
|
||||
Thu, 08 Sep 2022 12:46:13: Epoch [25/25], Step [300/1289], Loss: 0.4498
|
||||
Thu, 08 Sep 2022 12:46:13: Epoch [25/25], Step [350/1289], Loss: 0.4062
|
||||
Thu, 08 Sep 2022 12:46:13: Epoch [25/25], Step [400/1289], Loss: 0.3802
|
||||
Thu, 08 Sep 2022 12:46:13: Epoch [25/25], Step [450/1289], Loss: 0.4174
|
||||
Thu, 08 Sep 2022 12:46:14: Epoch [25/25], Step [500/1289], Loss: 0.4960
|
||||
Thu, 08 Sep 2022 12:46:14: Epoch [25/25], Step [550/1289], Loss: 0.3798
|
||||
Thu, 08 Sep 2022 12:46:14: Epoch [25/25], Step [600/1289], Loss: 0.4074
|
||||
Thu, 08 Sep 2022 12:46:15: Epoch [25/25], Step [650/1289], Loss: 0.4277
|
||||
Thu, 08 Sep 2022 12:46:15: Epoch [25/25], Step [700/1289], Loss: 0.3648
|
||||
Thu, 08 Sep 2022 12:46:15: Epoch [25/25], Step [750/1289], Loss: 0.4272
|
||||
Thu, 08 Sep 2022 12:46:15: Epoch [25/25], Step [800/1289], Loss: 0.3553
|
||||
Thu, 08 Sep 2022 12:46:16: Epoch [25/25], Step [850/1289], Loss: 0.4407
|
||||
Thu, 08 Sep 2022 12:46:16: Epoch [25/25], Step [900/1289], Loss: 0.3125
|
||||
Thu, 08 Sep 2022 12:46:16: Epoch [25/25], Step [950/1289], Loss: 0.3488
|
||||
Thu, 08 Sep 2022 12:46:16: Epoch [25/25], Step [1000/1289], Loss: 0.3569
|
||||
Thu, 08 Sep 2022 12:46:17: Epoch [25/25], Step [1050/1289], Loss: 0.4457
|
||||
Thu, 08 Sep 2022 12:46:17: Epoch [25/25], Step [1100/1289], Loss: 0.4159
|
||||
Thu, 08 Sep 2022 12:46:17: Epoch [25/25], Step [1150/1289], Loss: 0.3885
|
||||
Thu, 08 Sep 2022 12:46:17: Epoch [25/25], Step [1200/1289], Loss: 0.4094
|
||||
Thu, 08 Sep 2022 12:46:18: Epoch [25/25], Step [1250/1289], Loss: 0.4079
|
||||
Thu, 08 Sep 2022 12:46:18: start testing on test dataset
|
||||
Thu, 08 Sep 2022 12:46:19: f1 :0.7680612523926715
|
||||
Thu, 08 Sep 2022 12:46:19:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.8153 0.6066 0.6956 15979
|
||||
1 0.6908 0.8648 0.7681 16240
|
||||
|
||||
accuracy 0.7367 32219
|
||||
macro avg 0.7530 0.7357 0.7318 32219
|
||||
weighted avg 0.7525 0.7367 0.7321 32219
|
||||
|
||||
Thu, 08 Sep 2022 12:46:19:
|
||||
[[ 9693 6286]
|
||||
[ 2196 14044]]
|
||||
Thu, 08 Sep 2022 12:46:19: high_num,high_true,high_false:5450,4263,1187
|
||||
Thu, 08 Sep 2022 12:46:19: low_num,low_true,low_false:10790,9781,1009
|
||||
653
代码/sequenceShield/论文数据/ss-lstm-cicdos2017.log
Normal file
653
代码/sequenceShield/论文数据/ss-lstm-cicdos2017.log
Normal file
@@ -0,0 +1,653 @@
|
||||
Thu, 08 Sep 2022 12:29:35: -------------
|
||||
Thu, 08 Sep 2022 12:29:35: cuda is_available:True
|
||||
Thu, 08 Sep 2022 12:29:35: parameters - batch_size:100, num_epochs:25, learning_rage:0.001
|
||||
Thu, 08 Sep 2022 12:29:35: reading csv file
|
||||
Thu, 08 Sep 2022 12:29:36: csv file alread loaded
|
||||
Thu, 08 Sep 2022 12:29:47: procols num: 31
|
||||
Thu, 08 Sep 2022 12:29:47: procols : ['HTTP', 'TCP', 'SSH', 'SSHv2', 'DNS', 'IMAP', 'MDNS', 'POP', 'IMAP/IMF', 'TLSv1', 'ICMP', 'NBNS', 'NBSS', 'SMB', 'LANMAN', 'MSNMS', 'FTP', 'FTP-DATA', 'ARP', 'HTTP/XML', 'DHCPv6', 'BROWSER', 'DB-LSP-DISC/JSON', 'SMTP', 'SMTP/IMF', 'FTP-DATA/XML', 'IPv4', 'HTTP/JSON', 'ICMPv6', 'IGMPv3', 'LLMNR']
|
||||
Thu, 08 Sep 2022 12:31:12: 数据集中原本(high,low,normal)的数量:(3894,7343,149857)
|
||||
Thu, 08 Sep 2022 12:31:13: loader already prepared
|
||||
Thu, 08 Sep 2022 12:31:14: loader中(0:normal,1:high,2:low):Counter({0: 16228, 2: 10369, 1: 5622})
|
||||
Thu, 08 Sep 2022 12:31:16: start training
|
||||
Thu, 08 Sep 2022 12:31:17: Epoch [1/25], Step [50/1289], Loss: 0.5019
|
||||
Thu, 08 Sep 2022 12:31:17: Epoch [1/25], Step [100/1289], Loss: 0.3321
|
||||
Thu, 08 Sep 2022 12:31:17: Epoch [1/25], Step [150/1289], Loss: 0.4608
|
||||
Thu, 08 Sep 2022 12:31:18: Epoch [1/25], Step [200/1289], Loss: 0.2929
|
||||
Thu, 08 Sep 2022 12:31:18: Epoch [1/25], Step [250/1289], Loss: 0.3287
|
||||
Thu, 08 Sep 2022 12:31:19: Epoch [1/25], Step [300/1289], Loss: 0.4636
|
||||
Thu, 08 Sep 2022 12:31:19: Epoch [1/25], Step [350/1289], Loss: 0.2390
|
||||
Thu, 08 Sep 2022 12:31:19: Epoch [1/25], Step [400/1289], Loss: 0.3862
|
||||
Thu, 08 Sep 2022 12:31:19: Epoch [1/25], Step [450/1289], Loss: 0.2126
|
||||
Thu, 08 Sep 2022 12:31:20: Epoch [1/25], Step [500/1289], Loss: 0.3417
|
||||
Thu, 08 Sep 2022 12:31:20: Epoch [1/25], Step [550/1289], Loss: 0.2862
|
||||
Thu, 08 Sep 2022 12:31:20: Epoch [1/25], Step [600/1289], Loss: 0.3034
|
||||
Thu, 08 Sep 2022 12:31:21: Epoch [1/25], Step [650/1289], Loss: 0.3621
|
||||
Thu, 08 Sep 2022 12:31:21: Epoch [1/25], Step [700/1289], Loss: 0.2622
|
||||
Thu, 08 Sep 2022 12:31:21: Epoch [1/25], Step [750/1289], Loss: 0.3684
|
||||
Thu, 08 Sep 2022 12:31:21: Epoch [1/25], Step [800/1289], Loss: 0.3176
|
||||
Thu, 08 Sep 2022 12:31:22: Epoch [1/25], Step [850/1289], Loss: 0.3993
|
||||
Thu, 08 Sep 2022 12:31:22: Epoch [1/25], Step [900/1289], Loss: 0.3858
|
||||
Thu, 08 Sep 2022 12:31:22: Epoch [1/25], Step [950/1289], Loss: 0.2890
|
||||
Thu, 08 Sep 2022 12:31:22: Epoch [1/25], Step [1000/1289], Loss: 0.3329
|
||||
Thu, 08 Sep 2022 12:31:23: Epoch [1/25], Step [1050/1289], Loss: 0.3449
|
||||
Thu, 08 Sep 2022 12:31:23: Epoch [1/25], Step [1100/1289], Loss: 0.2059
|
||||
Thu, 08 Sep 2022 12:31:23: Epoch [1/25], Step [1150/1289], Loss: 0.2350
|
||||
Thu, 08 Sep 2022 12:31:24: Epoch [1/25], Step [1200/1289], Loss: 0.2598
|
||||
Thu, 08 Sep 2022 12:31:24: Epoch [1/25], Step [1250/1289], Loss: 0.3281
|
||||
Thu, 08 Sep 2022 12:31:24: Epoch [2/25], Step [50/1289], Loss: 0.2247
|
||||
Thu, 08 Sep 2022 12:31:25: Epoch [2/25], Step [100/1289], Loss: 0.2732
|
||||
Thu, 08 Sep 2022 12:31:25: Epoch [2/25], Step [150/1289], Loss: 0.2222
|
||||
Thu, 08 Sep 2022 12:31:25: Epoch [2/25], Step [200/1289], Loss: 0.2074
|
||||
Thu, 08 Sep 2022 12:31:25: Epoch [2/25], Step [250/1289], Loss: 0.2562
|
||||
Thu, 08 Sep 2022 12:31:26: Epoch [2/25], Step [300/1289], Loss: 0.2583
|
||||
Thu, 08 Sep 2022 12:31:26: Epoch [2/25], Step [350/1289], Loss: 0.1763
|
||||
Thu, 08 Sep 2022 12:31:26: Epoch [2/25], Step [400/1289], Loss: 0.1761
|
||||
Thu, 08 Sep 2022 12:31:27: Epoch [2/25], Step [450/1289], Loss: 0.2087
|
||||
Thu, 08 Sep 2022 12:31:27: Epoch [2/25], Step [500/1289], Loss: 0.2582
|
||||
Thu, 08 Sep 2022 12:31:27: Epoch [2/25], Step [550/1289], Loss: 0.1363
|
||||
Thu, 08 Sep 2022 12:31:27: Epoch [2/25], Step [600/1289], Loss: 0.2057
|
||||
Thu, 08 Sep 2022 12:31:28: Epoch [2/25], Step [650/1289], Loss: 0.2081
|
||||
Thu, 08 Sep 2022 12:31:28: Epoch [2/25], Step [700/1289], Loss: 0.1802
|
||||
Thu, 08 Sep 2022 12:31:28: Epoch [2/25], Step [750/1289], Loss: 0.1182
|
||||
Thu, 08 Sep 2022 12:31:29: Epoch [2/25], Step [800/1289], Loss: 0.1905
|
||||
Thu, 08 Sep 2022 12:31:29: Epoch [2/25], Step [850/1289], Loss: 0.1106
|
||||
Thu, 08 Sep 2022 12:31:29: Epoch [2/25], Step [900/1289], Loss: 0.2224
|
||||
Thu, 08 Sep 2022 12:31:29: Epoch [2/25], Step [950/1289], Loss: 0.2064
|
||||
Thu, 08 Sep 2022 12:31:30: Epoch [2/25], Step [1000/1289], Loss: 0.1099
|
||||
Thu, 08 Sep 2022 12:31:30: Epoch [2/25], Step [1050/1289], Loss: 0.3858
|
||||
Thu, 08 Sep 2022 12:31:30: Epoch [2/25], Step [1100/1289], Loss: 0.3460
|
||||
Thu, 08 Sep 2022 12:31:31: Epoch [2/25], Step [1150/1289], Loss: 0.3705
|
||||
Thu, 08 Sep 2022 12:31:31: Epoch [2/25], Step [1200/1289], Loss: 0.3156
|
||||
Thu, 08 Sep 2022 12:31:31: Epoch [2/25], Step [1250/1289], Loss: 0.2658
|
||||
Thu, 08 Sep 2022 12:31:32: Epoch [3/25], Step [50/1289], Loss: 0.2230
|
||||
Thu, 08 Sep 2022 12:31:32: Epoch [3/25], Step [100/1289], Loss: 0.1562
|
||||
Thu, 08 Sep 2022 12:31:32: Epoch [3/25], Step [150/1289], Loss: 0.1338
|
||||
Thu, 08 Sep 2022 12:31:32: Epoch [3/25], Step [200/1289], Loss: 0.1155
|
||||
Thu, 08 Sep 2022 12:31:33: Epoch [3/25], Step [250/1289], Loss: 0.0875
|
||||
Thu, 08 Sep 2022 12:31:33: Epoch [3/25], Step [300/1289], Loss: 0.1759
|
||||
Thu, 08 Sep 2022 12:31:33: Epoch [3/25], Step [350/1289], Loss: 0.0713
|
||||
Thu, 08 Sep 2022 12:31:34: Epoch [3/25], Step [400/1289], Loss: 0.2347
|
||||
Thu, 08 Sep 2022 12:31:34: Epoch [3/25], Step [450/1289], Loss: 0.2138
|
||||
Thu, 08 Sep 2022 12:31:34: Epoch [3/25], Step [500/1289], Loss: 0.1640
|
||||
Thu, 08 Sep 2022 12:31:35: Epoch [3/25], Step [550/1289], Loss: 0.1309
|
||||
Thu, 08 Sep 2022 12:31:35: Epoch [3/25], Step [600/1289], Loss: 0.1752
|
||||
Thu, 08 Sep 2022 12:31:35: Epoch [3/25], Step [650/1289], Loss: 0.1276
|
||||
Thu, 08 Sep 2022 12:31:35: Epoch [3/25], Step [700/1289], Loss: 0.1177
|
||||
Thu, 08 Sep 2022 12:31:36: Epoch [3/25], Step [750/1289], Loss: 0.1474
|
||||
Thu, 08 Sep 2022 12:31:36: Epoch [3/25], Step [800/1289], Loss: 0.1190
|
||||
Thu, 08 Sep 2022 12:31:36: Epoch [3/25], Step [850/1289], Loss: 0.1110
|
||||
Thu, 08 Sep 2022 12:31:37: Epoch [3/25], Step [900/1289], Loss: 0.0877
|
||||
Thu, 08 Sep 2022 12:31:37: Epoch [3/25], Step [950/1289], Loss: 0.1524
|
||||
Thu, 08 Sep 2022 12:31:37: Epoch [3/25], Step [1000/1289], Loss: 0.2046
|
||||
Thu, 08 Sep 2022 12:31:37: Epoch [3/25], Step [1050/1289], Loss: 0.1569
|
||||
Thu, 08 Sep 2022 12:31:38: Epoch [3/25], Step [1100/1289], Loss: 0.1298
|
||||
Thu, 08 Sep 2022 12:31:38: Epoch [3/25], Step [1150/1289], Loss: 0.1104
|
||||
Thu, 08 Sep 2022 12:31:38: Epoch [3/25], Step [1200/1289], Loss: 0.0576
|
||||
Thu, 08 Sep 2022 12:31:39: Epoch [3/25], Step [1250/1289], Loss: 0.2199
|
||||
Thu, 08 Sep 2022 12:31:39: Epoch [4/25], Step [50/1289], Loss: 0.2191
|
||||
Thu, 08 Sep 2022 12:31:39: Epoch [4/25], Step [100/1289], Loss: 0.1791
|
||||
Thu, 08 Sep 2022 12:31:40: Epoch [4/25], Step [150/1289], Loss: 0.1606
|
||||
Thu, 08 Sep 2022 12:31:40: Epoch [4/25], Step [200/1289], Loss: 0.1853
|
||||
Thu, 08 Sep 2022 12:31:40: Epoch [4/25], Step [250/1289], Loss: 0.1186
|
||||
Thu, 08 Sep 2022 12:31:40: Epoch [4/25], Step [300/1289], Loss: 0.2025
|
||||
Thu, 08 Sep 2022 12:31:41: Epoch [4/25], Step [350/1289], Loss: 0.1098
|
||||
Thu, 08 Sep 2022 12:31:41: Epoch [4/25], Step [400/1289], Loss: 0.1258
|
||||
Thu, 08 Sep 2022 12:31:41: Epoch [4/25], Step [450/1289], Loss: 0.1646
|
||||
Thu, 08 Sep 2022 12:31:42: Epoch [4/25], Step [500/1289], Loss: 0.0992
|
||||
Thu, 08 Sep 2022 12:31:42: Epoch [4/25], Step [550/1289], Loss: 0.1533
|
||||
Thu, 08 Sep 2022 12:31:42: Epoch [4/25], Step [600/1289], Loss: 0.1478
|
||||
Thu, 08 Sep 2022 12:31:42: Epoch [4/25], Step [650/1289], Loss: 0.0900
|
||||
Thu, 08 Sep 2022 12:31:43: Epoch [4/25], Step [700/1289], Loss: 0.2922
|
||||
Thu, 08 Sep 2022 12:31:43: Epoch [4/25], Step [750/1289], Loss: 0.0519
|
||||
Thu, 08 Sep 2022 12:31:43: Epoch [4/25], Step [800/1289], Loss: 0.1026
|
||||
Thu, 08 Sep 2022 12:31:43: Epoch [4/25], Step [850/1289], Loss: 0.1925
|
||||
Thu, 08 Sep 2022 12:31:44: Epoch [4/25], Step [900/1289], Loss: 0.2232
|
||||
Thu, 08 Sep 2022 12:31:44: Epoch [4/25], Step [950/1289], Loss: 0.1113
|
||||
Thu, 08 Sep 2022 12:31:44: Epoch [4/25], Step [1000/1289], Loss: 0.1059
|
||||
Thu, 08 Sep 2022 12:31:44: Epoch [4/25], Step [1050/1289], Loss: 0.1890
|
||||
Thu, 08 Sep 2022 12:31:45: Epoch [4/25], Step [1100/1289], Loss: 0.1039
|
||||
Thu, 08 Sep 2022 12:31:45: Epoch [4/25], Step [1150/1289], Loss: 0.1664
|
||||
Thu, 08 Sep 2022 12:31:45: Epoch [4/25], Step [1200/1289], Loss: 0.2219
|
||||
Thu, 08 Sep 2022 12:31:46: Epoch [4/25], Step [1250/1289], Loss: 0.0774
|
||||
Thu, 08 Sep 2022 12:31:46: Epoch [5/25], Step [50/1289], Loss: 0.0768
|
||||
Thu, 08 Sep 2022 12:31:46: Epoch [5/25], Step [100/1289], Loss: 0.1894
|
||||
Thu, 08 Sep 2022 12:31:47: Epoch [5/25], Step [150/1289], Loss: 0.1157
|
||||
Thu, 08 Sep 2022 12:31:47: Epoch [5/25], Step [200/1289], Loss: 0.1222
|
||||
Thu, 08 Sep 2022 12:31:47: Epoch [5/25], Step [250/1289], Loss: 0.3215
|
||||
Thu, 08 Sep 2022 12:31:48: Epoch [5/25], Step [300/1289], Loss: 0.1025
|
||||
Thu, 08 Sep 2022 12:31:48: Epoch [5/25], Step [350/1289], Loss: 0.1458
|
||||
Thu, 08 Sep 2022 12:31:48: Epoch [5/25], Step [400/1289], Loss: 0.0898
|
||||
Thu, 08 Sep 2022 12:31:48: Epoch [5/25], Step [450/1289], Loss: 0.1076
|
||||
Thu, 08 Sep 2022 12:31:49: Epoch [5/25], Step [500/1289], Loss: 0.0347
|
||||
Thu, 08 Sep 2022 12:31:49: Epoch [5/25], Step [550/1289], Loss: 0.0951
|
||||
Thu, 08 Sep 2022 12:31:49: Epoch [5/25], Step [600/1289], Loss: 0.1165
|
||||
Thu, 08 Sep 2022 12:31:49: Epoch [5/25], Step [650/1289], Loss: 0.1465
|
||||
Thu, 08 Sep 2022 12:31:50: Epoch [5/25], Step [700/1289], Loss: 0.1037
|
||||
Thu, 08 Sep 2022 12:31:50: Epoch [5/25], Step [750/1289], Loss: 0.1398
|
||||
Thu, 08 Sep 2022 12:31:50: Epoch [5/25], Step [800/1289], Loss: 0.0895
|
||||
Thu, 08 Sep 2022 12:31:51: Epoch [5/25], Step [850/1289], Loss: 0.1224
|
||||
Thu, 08 Sep 2022 12:31:51: Epoch [5/25], Step [900/1289], Loss: 0.1774
|
||||
Thu, 08 Sep 2022 12:31:51: Epoch [5/25], Step [950/1289], Loss: 0.0850
|
||||
Thu, 08 Sep 2022 12:31:51: Epoch [5/25], Step [1000/1289], Loss: 0.2253
|
||||
Thu, 08 Sep 2022 12:31:52: Epoch [5/25], Step [1050/1289], Loss: 0.1192
|
||||
Thu, 08 Sep 2022 12:31:52: Epoch [5/25], Step [1100/1289], Loss: 0.1348
|
||||
Thu, 08 Sep 2022 12:31:52: Epoch [5/25], Step [1150/1289], Loss: 0.1025
|
||||
Thu, 08 Sep 2022 12:31:52: Epoch [5/25], Step [1200/1289], Loss: 0.2907
|
||||
Thu, 08 Sep 2022 12:31:53: Epoch [5/25], Step [1250/1289], Loss: 0.1483
|
||||
Thu, 08 Sep 2022 12:31:53: Epoch [6/25], Step [50/1289], Loss: 0.1594
|
||||
Thu, 08 Sep 2022 12:31:54: Epoch [6/25], Step [100/1289], Loss: 0.2117
|
||||
Thu, 08 Sep 2022 12:31:54: Epoch [6/25], Step [150/1289], Loss: 0.1071
|
||||
Thu, 08 Sep 2022 12:31:54: Epoch [6/25], Step [200/1289], Loss: 0.0966
|
||||
Thu, 08 Sep 2022 12:31:54: Epoch [6/25], Step [250/1289], Loss: 0.0864
|
||||
Thu, 08 Sep 2022 12:31:55: Epoch [6/25], Step [300/1289], Loss: 0.1448
|
||||
Thu, 08 Sep 2022 12:31:55: Epoch [6/25], Step [350/1289], Loss: 0.0977
|
||||
Thu, 08 Sep 2022 12:31:55: Epoch [6/25], Step [400/1289], Loss: 0.1314
|
||||
Thu, 08 Sep 2022 12:31:55: Epoch [6/25], Step [450/1289], Loss: 0.0559
|
||||
Thu, 08 Sep 2022 12:31:56: Epoch [6/25], Step [500/1289], Loss: 0.0653
|
||||
Thu, 08 Sep 2022 12:31:56: Epoch [6/25], Step [550/1289], Loss: 0.1524
|
||||
Thu, 08 Sep 2022 12:31:56: Epoch [6/25], Step [600/1289], Loss: 0.1425
|
||||
Thu, 08 Sep 2022 12:31:56: Epoch [6/25], Step [650/1289], Loss: 0.0595
|
||||
Thu, 08 Sep 2022 12:31:57: Epoch [6/25], Step [700/1289], Loss: 0.1786
|
||||
Thu, 08 Sep 2022 12:31:57: Epoch [6/25], Step [750/1289], Loss: 0.0832
|
||||
Thu, 08 Sep 2022 12:31:57: Epoch [6/25], Step [800/1289], Loss: 0.1165
|
||||
Thu, 08 Sep 2022 12:31:58: Epoch [6/25], Step [850/1289], Loss: 0.0926
|
||||
Thu, 08 Sep 2022 12:31:58: Epoch [6/25], Step [900/1289], Loss: 0.1644
|
||||
Thu, 08 Sep 2022 12:31:58: Epoch [6/25], Step [950/1289], Loss: 0.0631
|
||||
Thu, 08 Sep 2022 12:31:58: Epoch [6/25], Step [1000/1289], Loss: 0.0962
|
||||
Thu, 08 Sep 2022 12:31:59: Epoch [6/25], Step [1050/1289], Loss: 0.1331
|
||||
Thu, 08 Sep 2022 12:31:59: Epoch [6/25], Step [1100/1289], Loss: 0.0583
|
||||
Thu, 08 Sep 2022 12:31:59: Epoch [6/25], Step [1150/1289], Loss: 0.1928
|
||||
Thu, 08 Sep 2022 12:31:59: Epoch [6/25], Step [1200/1289], Loss: 0.1927
|
||||
Thu, 08 Sep 2022 12:32:00: Epoch [6/25], Step [1250/1289], Loss: 0.1434
|
||||
Thu, 08 Sep 2022 12:32:00: Epoch [7/25], Step [50/1289], Loss: 0.1570
|
||||
Thu, 08 Sep 2022 12:32:01: Epoch [7/25], Step [100/1289], Loss: 0.1242
|
||||
Thu, 08 Sep 2022 12:32:01: Epoch [7/25], Step [150/1289], Loss: 0.1254
|
||||
Thu, 08 Sep 2022 12:32:01: Epoch [7/25], Step [200/1289], Loss: 0.0694
|
||||
Thu, 08 Sep 2022 12:32:01: Epoch [7/25], Step [250/1289], Loss: 0.0514
|
||||
Thu, 08 Sep 2022 12:32:02: Epoch [7/25], Step [300/1289], Loss: 0.0497
|
||||
Thu, 08 Sep 2022 12:32:02: Epoch [7/25], Step [350/1289], Loss: 0.0679
|
||||
Thu, 08 Sep 2022 12:32:02: Epoch [7/25], Step [400/1289], Loss: 0.0954
|
||||
Thu, 08 Sep 2022 12:32:03: Epoch [7/25], Step [450/1289], Loss: 0.1344
|
||||
Thu, 08 Sep 2022 12:32:03: Epoch [7/25], Step [500/1289], Loss: 0.0669
|
||||
Thu, 08 Sep 2022 12:32:03: Epoch [7/25], Step [550/1289], Loss: 0.0659
|
||||
Thu, 08 Sep 2022 12:32:03: Epoch [7/25], Step [600/1289], Loss: 0.1035
|
||||
Thu, 08 Sep 2022 12:32:04: Epoch [7/25], Step [650/1289], Loss: 0.0980
|
||||
Thu, 08 Sep 2022 12:32:04: Epoch [7/25], Step [700/1289], Loss: 0.1002
|
||||
Thu, 08 Sep 2022 12:32:04: Epoch [7/25], Step [750/1289], Loss: 0.1891
|
||||
Thu, 08 Sep 2022 12:32:04: Epoch [7/25], Step [800/1289], Loss: 0.0510
|
||||
Thu, 08 Sep 2022 12:32:05: Epoch [7/25], Step [850/1289], Loss: 0.1000
|
||||
Thu, 08 Sep 2022 12:32:05: Epoch [7/25], Step [900/1289], Loss: 0.0948
|
||||
Thu, 08 Sep 2022 12:32:05: Epoch [7/25], Step [950/1289], Loss: 0.0522
|
||||
Thu, 08 Sep 2022 12:32:06: Epoch [7/25], Step [1000/1289], Loss: 0.0418
|
||||
Thu, 08 Sep 2022 12:32:06: Epoch [7/25], Step [1050/1289], Loss: 0.0253
|
||||
Thu, 08 Sep 2022 12:32:06: Epoch [7/25], Step [1100/1289], Loss: 0.0517
|
||||
Thu, 08 Sep 2022 12:32:06: Epoch [7/25], Step [1150/1289], Loss: 0.1372
|
||||
Thu, 08 Sep 2022 12:32:07: Epoch [7/25], Step [1200/1289], Loss: 0.1030
|
||||
Thu, 08 Sep 2022 12:32:07: Epoch [7/25], Step [1250/1289], Loss: 0.1740
|
||||
Thu, 08 Sep 2022 12:32:07: Epoch [8/25], Step [50/1289], Loss: 0.0992
|
||||
Thu, 08 Sep 2022 12:32:08: Epoch [8/25], Step [100/1289], Loss: 0.2724
|
||||
Thu, 08 Sep 2022 12:32:08: Epoch [8/25], Step [150/1289], Loss: 0.1244
|
||||
Thu, 08 Sep 2022 12:32:08: Epoch [8/25], Step [200/1289], Loss: 0.0552
|
||||
Thu, 08 Sep 2022 12:32:09: Epoch [8/25], Step [250/1289], Loss: 0.0516
|
||||
Thu, 08 Sep 2022 12:32:09: Epoch [8/25], Step [300/1289], Loss: 0.0571
|
||||
Thu, 08 Sep 2022 12:32:09: Epoch [8/25], Step [350/1289], Loss: 0.0849
|
||||
Thu, 08 Sep 2022 12:32:09: Epoch [8/25], Step [400/1289], Loss: 0.0586
|
||||
Thu, 08 Sep 2022 12:32:10: Epoch [8/25], Step [450/1289], Loss: 0.0720
|
||||
Thu, 08 Sep 2022 12:32:10: Epoch [8/25], Step [500/1289], Loss: 0.0441
|
||||
Thu, 08 Sep 2022 12:32:10: Epoch [8/25], Step [550/1289], Loss: 0.1294
|
||||
Thu, 08 Sep 2022 12:32:10: Epoch [8/25], Step [600/1289], Loss: 0.0270
|
||||
Thu, 08 Sep 2022 12:32:11: Epoch [8/25], Step [650/1289], Loss: 0.0850
|
||||
Thu, 08 Sep 2022 12:32:11: Epoch [8/25], Step [700/1289], Loss: 0.1705
|
||||
Thu, 08 Sep 2022 12:32:11: Epoch [8/25], Step [750/1289], Loss: 0.0874
|
||||
Thu, 08 Sep 2022 12:32:12: Epoch [8/25], Step [800/1289], Loss: 0.1237
|
||||
Thu, 08 Sep 2022 12:32:12: Epoch [8/25], Step [850/1289], Loss: 0.0352
|
||||
Thu, 08 Sep 2022 12:32:12: Epoch [8/25], Step [900/1289], Loss: 0.0701
|
||||
Thu, 08 Sep 2022 12:32:12: Epoch [8/25], Step [950/1289], Loss: 0.0847
|
||||
Thu, 08 Sep 2022 12:32:13: Epoch [8/25], Step [1000/1289], Loss: 0.0351
|
||||
Thu, 08 Sep 2022 12:32:13: Epoch [8/25], Step [1050/1289], Loss: 0.1159
|
||||
Thu, 08 Sep 2022 12:32:13: Epoch [8/25], Step [1100/1289], Loss: 0.1339
|
||||
Thu, 08 Sep 2022 12:32:13: Epoch [8/25], Step [1150/1289], Loss: 0.0422
|
||||
Thu, 08 Sep 2022 12:32:14: Epoch [8/25], Step [1200/1289], Loss: 0.1375
|
||||
Thu, 08 Sep 2022 12:32:14: Epoch [8/25], Step [1250/1289], Loss: 0.0865
|
||||
Thu, 08 Sep 2022 12:32:14: Epoch [9/25], Step [50/1289], Loss: 0.0927
|
||||
Thu, 08 Sep 2022 12:32:15: Epoch [9/25], Step [100/1289], Loss: 0.0529
|
||||
Thu, 08 Sep 2022 12:32:15: Epoch [9/25], Step [150/1289], Loss: 0.1036
|
||||
Thu, 08 Sep 2022 12:32:15: Epoch [9/25], Step [200/1289], Loss: 0.0503
|
||||
Thu, 08 Sep 2022 12:32:16: Epoch [9/25], Step [250/1289], Loss: 0.2156
|
||||
Thu, 08 Sep 2022 12:32:16: Epoch [9/25], Step [300/1289], Loss: 0.1374
|
||||
Thu, 08 Sep 2022 12:32:16: Epoch [9/25], Step [350/1289], Loss: 0.1129
|
||||
Thu, 08 Sep 2022 12:32:16: Epoch [9/25], Step [400/1289], Loss: 0.1140
|
||||
Thu, 08 Sep 2022 12:32:17: Epoch [9/25], Step [450/1289], Loss: 0.0710
|
||||
Thu, 08 Sep 2022 12:32:17: Epoch [9/25], Step [500/1289], Loss: 0.0622
|
||||
Thu, 08 Sep 2022 12:32:17: Epoch [9/25], Step [550/1289], Loss: 0.0702
|
||||
Thu, 08 Sep 2022 12:32:17: Epoch [9/25], Step [600/1289], Loss: 0.1144
|
||||
Thu, 08 Sep 2022 12:32:18: Epoch [9/25], Step [650/1289], Loss: 0.0646
|
||||
Thu, 08 Sep 2022 12:32:18: Epoch [9/25], Step [700/1289], Loss: 0.1255
|
||||
Thu, 08 Sep 2022 12:32:18: Epoch [9/25], Step [750/1289], Loss: 0.1073
|
||||
Thu, 08 Sep 2022 12:32:19: Epoch [9/25], Step [800/1289], Loss: 0.1399
|
||||
Thu, 08 Sep 2022 12:32:19: Epoch [9/25], Step [850/1289], Loss: 0.1684
|
||||
Thu, 08 Sep 2022 12:32:19: Epoch [9/25], Step [900/1289], Loss: 0.0759
|
||||
Thu, 08 Sep 2022 12:32:19: Epoch [9/25], Step [950/1289], Loss: 0.0903
|
||||
Thu, 08 Sep 2022 12:32:20: Epoch [9/25], Step [1000/1289], Loss: 0.1349
|
||||
Thu, 08 Sep 2022 12:32:20: Epoch [9/25], Step [1050/1289], Loss: 0.0492
|
||||
Thu, 08 Sep 2022 12:32:20: Epoch [9/25], Step [1100/1289], Loss: 0.1058
|
||||
Thu, 08 Sep 2022 12:32:20: Epoch [9/25], Step [1150/1289], Loss: 0.0482
|
||||
Thu, 08 Sep 2022 12:32:21: Epoch [9/25], Step [1200/1289], Loss: 0.0715
|
||||
Thu, 08 Sep 2022 12:32:21: Epoch [9/25], Step [1250/1289], Loss: 0.0483
|
||||
Thu, 08 Sep 2022 12:32:22: Epoch [10/25], Step [50/1289], Loss: 0.0582
|
||||
Thu, 08 Sep 2022 12:32:22: Epoch [10/25], Step [100/1289], Loss: 0.0561
|
||||
Thu, 08 Sep 2022 12:32:22: Epoch [10/25], Step [150/1289], Loss: 0.1172
|
||||
Thu, 08 Sep 2022 12:32:22: Epoch [10/25], Step [200/1289], Loss: 0.0690
|
||||
Thu, 08 Sep 2022 12:32:23: Epoch [10/25], Step [250/1289], Loss: 0.0680
|
||||
Thu, 08 Sep 2022 12:32:23: Epoch [10/25], Step [300/1289], Loss: 0.1052
|
||||
Thu, 08 Sep 2022 12:32:23: Epoch [10/25], Step [350/1289], Loss: 0.1027
|
||||
Thu, 08 Sep 2022 12:32:23: Epoch [10/25], Step [400/1289], Loss: 0.0132
|
||||
Thu, 08 Sep 2022 12:32:24: Epoch [10/25], Step [450/1289], Loss: 0.1094
|
||||
Thu, 08 Sep 2022 12:32:24: Epoch [10/25], Step [500/1289], Loss: 0.0871
|
||||
Thu, 08 Sep 2022 12:32:24: Epoch [10/25], Step [550/1289], Loss: 0.0633
|
||||
Thu, 08 Sep 2022 12:32:24: Epoch [10/25], Step [600/1289], Loss: 0.1000
|
||||
Thu, 08 Sep 2022 12:32:25: Epoch [10/25], Step [650/1289], Loss: 0.0842
|
||||
Thu, 08 Sep 2022 12:32:25: Epoch [10/25], Step [700/1289], Loss: 0.1307
|
||||
Thu, 08 Sep 2022 12:32:25: Epoch [10/25], Step [750/1289], Loss: 0.0696
|
||||
Thu, 08 Sep 2022 12:32:26: Epoch [10/25], Step [800/1289], Loss: 0.0693
|
||||
Thu, 08 Sep 2022 12:32:26: Epoch [10/25], Step [850/1289], Loss: 0.0247
|
||||
Thu, 08 Sep 2022 12:32:26: Epoch [10/25], Step [900/1289], Loss: 0.0990
|
||||
Thu, 08 Sep 2022 12:32:26: Epoch [10/25], Step [950/1289], Loss: 0.0209
|
||||
Thu, 08 Sep 2022 12:32:27: Epoch [10/25], Step [1000/1289], Loss: 0.1384
|
||||
Thu, 08 Sep 2022 12:32:27: Epoch [10/25], Step [1050/1289], Loss: 0.1315
|
||||
Thu, 08 Sep 2022 12:32:27: Epoch [10/25], Step [1100/1289], Loss: 0.1527
|
||||
Thu, 08 Sep 2022 12:32:27: Epoch [10/25], Step [1150/1289], Loss: 0.0558
|
||||
Thu, 08 Sep 2022 12:32:28: Epoch [10/25], Step [1200/1289], Loss: 0.1554
|
||||
Thu, 08 Sep 2022 12:32:28: Epoch [10/25], Step [1250/1289], Loss: 0.1358
|
||||
Thu, 08 Sep 2022 12:32:28: Epoch [11/25], Step [50/1289], Loss: 0.1076
|
||||
Thu, 08 Sep 2022 12:32:29: Epoch [11/25], Step [100/1289], Loss: 0.0495
|
||||
Thu, 08 Sep 2022 12:32:29: Epoch [11/25], Step [150/1289], Loss: 0.0834
|
||||
Thu, 08 Sep 2022 12:32:29: Epoch [11/25], Step [200/1289], Loss: 0.0566
|
||||
Thu, 08 Sep 2022 12:32:30: Epoch [11/25], Step [250/1289], Loss: 0.2254
|
||||
Thu, 08 Sep 2022 12:32:30: Epoch [11/25], Step [300/1289], Loss: 0.0607
|
||||
Thu, 08 Sep 2022 12:32:30: Epoch [11/25], Step [350/1289], Loss: 0.0576
|
||||
Thu, 08 Sep 2022 12:32:30: Epoch [11/25], Step [400/1289], Loss: 0.0454
|
||||
Thu, 08 Sep 2022 12:32:31: Epoch [11/25], Step [450/1289], Loss: 0.0222
|
||||
Thu, 08 Sep 2022 12:32:31: Epoch [11/25], Step [500/1289], Loss: 0.1514
|
||||
Thu, 08 Sep 2022 12:32:31: Epoch [11/25], Step [550/1289], Loss: 0.0750
|
||||
Thu, 08 Sep 2022 12:32:31: Epoch [11/25], Step [600/1289], Loss: 0.0218
|
||||
Thu, 08 Sep 2022 12:32:32: Epoch [11/25], Step [650/1289], Loss: 0.0416
|
||||
Thu, 08 Sep 2022 12:32:32: Epoch [11/25], Step [700/1289], Loss: 0.0616
|
||||
Thu, 08 Sep 2022 12:32:32: Epoch [11/25], Step [750/1289], Loss: 0.0656
|
||||
Thu, 08 Sep 2022 12:32:32: Epoch [11/25], Step [800/1289], Loss: 0.0271
|
||||
Thu, 08 Sep 2022 12:32:33: Epoch [11/25], Step [850/1289], Loss: 0.0442
|
||||
Thu, 08 Sep 2022 12:32:33: Epoch [11/25], Step [900/1289], Loss: 0.2132
|
||||
Thu, 08 Sep 2022 12:32:33: Epoch [11/25], Step [950/1289], Loss: 0.0546
|
||||
Thu, 08 Sep 2022 12:32:34: Epoch [11/25], Step [1000/1289], Loss: 0.0943
|
||||
Thu, 08 Sep 2022 12:32:34: Epoch [11/25], Step [1050/1289], Loss: 0.0899
|
||||
Thu, 08 Sep 2022 12:32:34: Epoch [11/25], Step [1100/1289], Loss: 0.0832
|
||||
Thu, 08 Sep 2022 12:32:34: Epoch [11/25], Step [1150/1289], Loss: 0.0573
|
||||
Thu, 08 Sep 2022 12:32:35: Epoch [11/25], Step [1200/1289], Loss: 0.1000
|
||||
Thu, 08 Sep 2022 12:32:35: Epoch [11/25], Step [1250/1289], Loss: 0.0482
|
||||
Thu, 08 Sep 2022 12:32:35: Epoch [12/25], Step [50/1289], Loss: 0.0331
|
||||
Thu, 08 Sep 2022 12:32:36: Epoch [12/25], Step [100/1289], Loss: 0.0894
|
||||
Thu, 08 Sep 2022 12:32:36: Epoch [12/25], Step [150/1289], Loss: 0.0513
|
||||
Thu, 08 Sep 2022 12:32:36: Epoch [12/25], Step [200/1289], Loss: 0.0440
|
||||
Thu, 08 Sep 2022 12:32:37: Epoch [12/25], Step [250/1289], Loss: 0.1216
|
||||
Thu, 08 Sep 2022 12:32:37: Epoch [12/25], Step [300/1289], Loss: 0.0660
|
||||
Thu, 08 Sep 2022 12:32:37: Epoch [12/25], Step [350/1289], Loss: 0.0697
|
||||
Thu, 08 Sep 2022 12:32:37: Epoch [12/25], Step [400/1289], Loss: 0.0249
|
||||
Thu, 08 Sep 2022 12:32:38: Epoch [12/25], Step [450/1289], Loss: 0.0569
|
||||
Thu, 08 Sep 2022 12:32:38: Epoch [12/25], Step [500/1289], Loss: 0.0893
|
||||
Thu, 08 Sep 2022 12:32:38: Epoch [12/25], Step [550/1289], Loss: 0.0533
|
||||
Thu, 08 Sep 2022 12:32:38: Epoch [12/25], Step [600/1289], Loss: 0.0337
|
||||
Thu, 08 Sep 2022 12:32:39: Epoch [12/25], Step [650/1289], Loss: 0.0927
|
||||
Thu, 08 Sep 2022 12:32:39: Epoch [12/25], Step [700/1289], Loss: 0.0974
|
||||
Thu, 08 Sep 2022 12:32:39: Epoch [12/25], Step [750/1289], Loss: 0.0581
|
||||
Thu, 08 Sep 2022 12:32:39: Epoch [12/25], Step [800/1289], Loss: 0.0196
|
||||
Thu, 08 Sep 2022 12:32:40: Epoch [12/25], Step [850/1289], Loss: 0.0881
|
||||
Thu, 08 Sep 2022 12:32:40: Epoch [12/25], Step [900/1289], Loss: 0.1225
|
||||
Thu, 08 Sep 2022 12:32:40: Epoch [12/25], Step [950/1289], Loss: 0.0486
|
||||
Thu, 08 Sep 2022 12:32:41: Epoch [12/25], Step [1000/1289], Loss: 0.0413
|
||||
Thu, 08 Sep 2022 12:32:41: Epoch [12/25], Step [1050/1289], Loss: 0.0866
|
||||
Thu, 08 Sep 2022 12:32:41: Epoch [12/25], Step [1100/1289], Loss: 0.0487
|
||||
Thu, 08 Sep 2022 12:32:41: Epoch [12/25], Step [1150/1289], Loss: 0.0988
|
||||
Thu, 08 Sep 2022 12:32:42: Epoch [12/25], Step [1200/1289], Loss: 0.0367
|
||||
Thu, 08 Sep 2022 12:32:42: Epoch [12/25], Step [1250/1289], Loss: 0.0476
|
||||
Thu, 08 Sep 2022 12:32:42: Epoch [13/25], Step [50/1289], Loss: 0.0476
|
||||
Thu, 08 Sep 2022 12:32:43: Epoch [13/25], Step [100/1289], Loss: 0.0659
|
||||
Thu, 08 Sep 2022 12:32:43: Epoch [13/25], Step [150/1289], Loss: 0.0802
|
||||
Thu, 08 Sep 2022 12:32:43: Epoch [13/25], Step [200/1289], Loss: 0.0857
|
||||
Thu, 08 Sep 2022 12:32:43: Epoch [13/25], Step [250/1289], Loss: 0.1602
|
||||
Thu, 08 Sep 2022 12:32:44: Epoch [13/25], Step [300/1289], Loss: 0.0354
|
||||
Thu, 08 Sep 2022 12:32:44: Epoch [13/25], Step [350/1289], Loss: 0.0758
|
||||
Thu, 08 Sep 2022 12:32:44: Epoch [13/25], Step [400/1289], Loss: 0.0388
|
||||
Thu, 08 Sep 2022 12:32:45: Epoch [13/25], Step [450/1289], Loss: 0.0587
|
||||
Thu, 08 Sep 2022 12:32:45: Epoch [13/25], Step [500/1289], Loss: 0.1330
|
||||
Thu, 08 Sep 2022 12:32:45: Epoch [13/25], Step [550/1289], Loss: 0.0817
|
||||
Thu, 08 Sep 2022 12:32:45: Epoch [13/25], Step [600/1289], Loss: 0.0387
|
||||
Thu, 08 Sep 2022 12:32:46: Epoch [13/25], Step [650/1289], Loss: 0.0798
|
||||
Thu, 08 Sep 2022 12:32:46: Epoch [13/25], Step [700/1289], Loss: 0.1186
|
||||
Thu, 08 Sep 2022 12:32:46: Epoch [13/25], Step [750/1289], Loss: 0.0738
|
||||
Thu, 08 Sep 2022 12:32:46: Epoch [13/25], Step [800/1289], Loss: 0.0502
|
||||
Thu, 08 Sep 2022 12:32:47: Epoch [13/25], Step [850/1289], Loss: 0.1045
|
||||
Thu, 08 Sep 2022 12:32:47: Epoch [13/25], Step [900/1289], Loss: 0.0704
|
||||
Thu, 08 Sep 2022 12:32:47: Epoch [13/25], Step [950/1289], Loss: 0.0389
|
||||
Thu, 08 Sep 2022 12:32:48: Epoch [13/25], Step [1000/1289], Loss: 0.0168
|
||||
Thu, 08 Sep 2022 12:32:48: Epoch [13/25], Step [1050/1289], Loss: 0.1406
|
||||
Thu, 08 Sep 2022 12:32:48: Epoch [13/25], Step [1100/1289], Loss: 0.1410
|
||||
Thu, 08 Sep 2022 12:32:48: Epoch [13/25], Step [1150/1289], Loss: 0.0493
|
||||
Thu, 08 Sep 2022 12:32:49: Epoch [13/25], Step [1200/1289], Loss: 0.1048
|
||||
Thu, 08 Sep 2022 12:32:49: Epoch [13/25], Step [1250/1289], Loss: 0.1072
|
||||
Thu, 08 Sep 2022 12:32:49: Epoch [14/25], Step [50/1289], Loss: 0.0751
|
||||
Thu, 08 Sep 2022 12:32:50: Epoch [14/25], Step [100/1289], Loss: 0.0149
|
||||
Thu, 08 Sep 2022 12:32:50: Epoch [14/25], Step [150/1289], Loss: 0.0339
|
||||
Thu, 08 Sep 2022 12:32:50: Epoch [14/25], Step [200/1289], Loss: 0.0355
|
||||
Thu, 08 Sep 2022 12:32:50: Epoch [14/25], Step [250/1289], Loss: 0.1612
|
||||
Thu, 08 Sep 2022 12:32:51: Epoch [14/25], Step [300/1289], Loss: 0.1088
|
||||
Thu, 08 Sep 2022 12:32:51: Epoch [14/25], Step [350/1289], Loss: 0.0451
|
||||
Thu, 08 Sep 2022 12:32:51: Epoch [14/25], Step [400/1289], Loss: 0.0218
|
||||
Thu, 08 Sep 2022 12:32:52: Epoch [14/25], Step [450/1289], Loss: 0.0970
|
||||
Thu, 08 Sep 2022 12:32:52: Epoch [14/25], Step [500/1289], Loss: 0.1130
|
||||
Thu, 08 Sep 2022 12:32:52: Epoch [14/25], Step [550/1289], Loss: 0.1351
|
||||
Thu, 08 Sep 2022 12:32:52: Epoch [14/25], Step [600/1289], Loss: 0.2095
|
||||
Thu, 08 Sep 2022 12:32:53: Epoch [14/25], Step [650/1289], Loss: 0.0496
|
||||
Thu, 08 Sep 2022 12:32:53: Epoch [14/25], Step [700/1289], Loss: 0.0515
|
||||
Thu, 08 Sep 2022 12:32:53: Epoch [14/25], Step [750/1289], Loss: 0.0679
|
||||
Thu, 08 Sep 2022 12:32:53: Epoch [14/25], Step [800/1289], Loss: 0.0167
|
||||
Thu, 08 Sep 2022 12:32:54: Epoch [14/25], Step [850/1289], Loss: 0.0880
|
||||
Thu, 08 Sep 2022 12:32:54: Epoch [14/25], Step [900/1289], Loss: 0.0805
|
||||
Thu, 08 Sep 2022 12:32:54: Epoch [14/25], Step [950/1289], Loss: 0.0636
|
||||
Thu, 08 Sep 2022 12:32:54: Epoch [14/25], Step [1000/1289], Loss: 0.0729
|
||||
Thu, 08 Sep 2022 12:32:55: Epoch [14/25], Step [1050/1289], Loss: 0.0415
|
||||
Thu, 08 Sep 2022 12:32:55: Epoch [14/25], Step [1100/1289], Loss: 0.1022
|
||||
Thu, 08 Sep 2022 12:32:55: Epoch [14/25], Step [1150/1289], Loss: 0.0220
|
||||
Thu, 08 Sep 2022 12:32:56: Epoch [14/25], Step [1200/1289], Loss: 0.0902
|
||||
Thu, 08 Sep 2022 12:32:56: Epoch [14/25], Step [1250/1289], Loss: 0.0694
|
||||
Thu, 08 Sep 2022 12:32:56: Epoch [15/25], Step [50/1289], Loss: 0.0506
|
||||
Thu, 08 Sep 2022 12:32:57: Epoch [15/25], Step [100/1289], Loss: 0.0520
|
||||
Thu, 08 Sep 2022 12:32:57: Epoch [15/25], Step [150/1289], Loss: 0.0875
|
||||
Thu, 08 Sep 2022 12:32:57: Epoch [15/25], Step [200/1289], Loss: 0.0740
|
||||
Thu, 08 Sep 2022 12:32:57: Epoch [15/25], Step [250/1289], Loss: 0.1135
|
||||
Thu, 08 Sep 2022 12:32:58: Epoch [15/25], Step [300/1289], Loss: 0.0931
|
||||
Thu, 08 Sep 2022 12:32:58: Epoch [15/25], Step [350/1289], Loss: 0.0339
|
||||
Thu, 08 Sep 2022 12:32:58: Epoch [15/25], Step [400/1289], Loss: 0.0463
|
||||
Thu, 08 Sep 2022 12:32:58: Epoch [15/25], Step [450/1289], Loss: 0.0404
|
||||
Thu, 08 Sep 2022 12:32:59: Epoch [15/25], Step [500/1289], Loss: 0.1201
|
||||
Thu, 08 Sep 2022 12:32:59: Epoch [15/25], Step [550/1289], Loss: 0.0444
|
||||
Thu, 08 Sep 2022 12:32:59: Epoch [15/25], Step [600/1289], Loss: 0.2016
|
||||
Thu, 08 Sep 2022 12:33:00: Epoch [15/25], Step [650/1289], Loss: 0.0649
|
||||
Thu, 08 Sep 2022 12:33:00: Epoch [15/25], Step [700/1289], Loss: 0.1219
|
||||
Thu, 08 Sep 2022 12:33:00: Epoch [15/25], Step [750/1289], Loss: 0.0325
|
||||
Thu, 08 Sep 2022 12:33:00: Epoch [15/25], Step [800/1289], Loss: 0.0642
|
||||
Thu, 08 Sep 2022 12:33:01: Epoch [15/25], Step [850/1289], Loss: 0.0536
|
||||
Thu, 08 Sep 2022 12:33:01: Epoch [15/25], Step [900/1289], Loss: 0.0606
|
||||
Thu, 08 Sep 2022 12:33:01: Epoch [15/25], Step [950/1289], Loss: 0.0931
|
||||
Thu, 08 Sep 2022 12:33:02: Epoch [15/25], Step [1000/1289], Loss: 0.0567
|
||||
Thu, 08 Sep 2022 12:33:02: Epoch [15/25], Step [1050/1289], Loss: 0.1160
|
||||
Thu, 08 Sep 2022 12:33:02: Epoch [15/25], Step [1100/1289], Loss: 0.0560
|
||||
Thu, 08 Sep 2022 12:33:02: Epoch [15/25], Step [1150/1289], Loss: 0.0311
|
||||
Thu, 08 Sep 2022 12:33:03: Epoch [15/25], Step [1200/1289], Loss: 0.1005
|
||||
Thu, 08 Sep 2022 12:33:03: Epoch [15/25], Step [1250/1289], Loss: 0.0590
|
||||
Thu, 08 Sep 2022 12:33:03: Epoch [16/25], Step [50/1289], Loss: 0.0856
|
||||
Thu, 08 Sep 2022 12:33:04: Epoch [16/25], Step [100/1289], Loss: 0.0304
|
||||
Thu, 08 Sep 2022 12:33:04: Epoch [16/25], Step [150/1289], Loss: 0.0775
|
||||
Thu, 08 Sep 2022 12:33:04: Epoch [16/25], Step [200/1289], Loss: 0.0846
|
||||
Thu, 08 Sep 2022 12:33:04: Epoch [16/25], Step [250/1289], Loss: 0.0871
|
||||
Thu, 08 Sep 2022 12:33:05: Epoch [16/25], Step [300/1289], Loss: 0.0698
|
||||
Thu, 08 Sep 2022 12:33:05: Epoch [16/25], Step [350/1289], Loss: 0.1460
|
||||
Thu, 08 Sep 2022 12:33:05: Epoch [16/25], Step [400/1289], Loss: 0.0086
|
||||
Thu, 08 Sep 2022 12:33:06: Epoch [16/25], Step [450/1289], Loss: 0.0593
|
||||
Thu, 08 Sep 2022 12:33:06: Epoch [16/25], Step [500/1289], Loss: 0.0066
|
||||
Thu, 08 Sep 2022 12:33:06: Epoch [16/25], Step [550/1289], Loss: 0.0285
|
||||
Thu, 08 Sep 2022 12:33:06: Epoch [16/25], Step [600/1289], Loss: 0.0690
|
||||
Thu, 08 Sep 2022 12:33:07: Epoch [16/25], Step [650/1289], Loss: 0.0669
|
||||
Thu, 08 Sep 2022 12:33:07: Epoch [16/25], Step [700/1289], Loss: 0.0272
|
||||
Thu, 08 Sep 2022 12:33:07: Epoch [16/25], Step [750/1289], Loss: 0.0596
|
||||
Thu, 08 Sep 2022 12:33:07: Epoch [16/25], Step [800/1289], Loss: 0.0709
|
||||
Thu, 08 Sep 2022 12:33:08: Epoch [16/25], Step [850/1289], Loss: 0.0787
|
||||
Thu, 08 Sep 2022 12:33:08: Epoch [16/25], Step [900/1289], Loss: 0.0395
|
||||
Thu, 08 Sep 2022 12:33:08: Epoch [16/25], Step [950/1289], Loss: 0.0743
|
||||
Thu, 08 Sep 2022 12:33:08: Epoch [16/25], Step [1000/1289], Loss: 0.0385
|
||||
Thu, 08 Sep 2022 12:33:09: Epoch [16/25], Step [1050/1289], Loss: 0.0674
|
||||
Thu, 08 Sep 2022 12:33:09: Epoch [16/25], Step [1100/1289], Loss: 0.0342
|
||||
Thu, 08 Sep 2022 12:33:09: Epoch [16/25], Step [1150/1289], Loss: 0.0217
|
||||
Thu, 08 Sep 2022 12:33:10: Epoch [16/25], Step [1200/1289], Loss: 0.0115
|
||||
Thu, 08 Sep 2022 12:33:10: Epoch [16/25], Step [1250/1289], Loss: 0.0578
|
||||
Thu, 08 Sep 2022 12:33:10: Epoch [17/25], Step [50/1289], Loss: 0.0858
|
||||
Thu, 08 Sep 2022 12:33:11: Epoch [17/25], Step [100/1289], Loss: 0.1576
|
||||
Thu, 08 Sep 2022 12:33:11: Epoch [17/25], Step [150/1289], Loss: 0.0715
|
||||
Thu, 08 Sep 2022 12:33:11: Epoch [17/25], Step [200/1289], Loss: 0.0232
|
||||
Thu, 08 Sep 2022 12:33:11: Epoch [17/25], Step [250/1289], Loss: 0.1263
|
||||
Thu, 08 Sep 2022 12:33:12: Epoch [17/25], Step [300/1289], Loss: 0.0889
|
||||
Thu, 08 Sep 2022 12:33:12: Epoch [17/25], Step [350/1289], Loss: 0.0370
|
||||
Thu, 08 Sep 2022 12:33:12: Epoch [17/25], Step [400/1289], Loss: 0.0527
|
||||
Thu, 08 Sep 2022 12:33:12: Epoch [17/25], Step [450/1289], Loss: 0.0445
|
||||
Thu, 08 Sep 2022 12:33:13: Epoch [17/25], Step [500/1289], Loss: 0.0120
|
||||
Thu, 08 Sep 2022 12:33:13: Epoch [17/25], Step [550/1289], Loss: 0.0289
|
||||
Thu, 08 Sep 2022 12:33:13: Epoch [17/25], Step [600/1289], Loss: 0.0209
|
||||
Thu, 08 Sep 2022 12:33:14: Epoch [17/25], Step [650/1289], Loss: 0.0816
|
||||
Thu, 08 Sep 2022 12:33:14: Epoch [17/25], Step [700/1289], Loss: 0.1356
|
||||
Thu, 08 Sep 2022 12:33:14: Epoch [17/25], Step [750/1289], Loss: 0.0431
|
||||
Thu, 08 Sep 2022 12:33:14: Epoch [17/25], Step [800/1289], Loss: 0.0790
|
||||
Thu, 08 Sep 2022 12:33:15: Epoch [17/25], Step [850/1289], Loss: 0.0067
|
||||
Thu, 08 Sep 2022 12:33:15: Epoch [17/25], Step [900/1289], Loss: 0.1257
|
||||
Thu, 08 Sep 2022 12:33:15: Epoch [17/25], Step [950/1289], Loss: 0.0620
|
||||
Thu, 08 Sep 2022 12:33:15: Epoch [17/25], Step [1000/1289], Loss: 0.0530
|
||||
Thu, 08 Sep 2022 12:33:16: Epoch [17/25], Step [1050/1289], Loss: 0.0807
|
||||
Thu, 08 Sep 2022 12:33:16: Epoch [17/25], Step [1100/1289], Loss: 0.0574
|
||||
Thu, 08 Sep 2022 12:33:16: Epoch [17/25], Step [1150/1289], Loss: 0.0415
|
||||
Thu, 08 Sep 2022 12:33:17: Epoch [17/25], Step [1200/1289], Loss: 0.0614
|
||||
Thu, 08 Sep 2022 12:33:17: Epoch [17/25], Step [1250/1289], Loss: 0.2296
|
||||
Thu, 08 Sep 2022 12:33:17: Epoch [18/25], Step [50/1289], Loss: 0.0372
|
||||
Thu, 08 Sep 2022 12:33:18: Epoch [18/25], Step [100/1289], Loss: 0.0060
|
||||
Thu, 08 Sep 2022 12:33:18: Epoch [18/25], Step [150/1289], Loss: 0.0255
|
||||
Thu, 08 Sep 2022 12:33:18: Epoch [18/25], Step [200/1289], Loss: 0.0511
|
||||
Thu, 08 Sep 2022 12:33:18: Epoch [18/25], Step [250/1289], Loss: 0.0482
|
||||
Thu, 08 Sep 2022 12:33:19: Epoch [18/25], Step [300/1289], Loss: 0.0882
|
||||
Thu, 08 Sep 2022 12:33:19: Epoch [18/25], Step [350/1289], Loss: 0.0101
|
||||
Thu, 08 Sep 2022 12:33:19: Epoch [18/25], Step [400/1289], Loss: 0.0598
|
||||
Thu, 08 Sep 2022 12:33:19: Epoch [18/25], Step [450/1289], Loss: 0.0854
|
||||
Thu, 08 Sep 2022 12:33:20: Epoch [18/25], Step [500/1289], Loss: 0.0725
|
||||
Thu, 08 Sep 2022 12:33:20: Epoch [18/25], Step [550/1289], Loss: 0.0478
|
||||
Thu, 08 Sep 2022 12:33:20: Epoch [18/25], Step [600/1289], Loss: 0.0559
|
||||
Thu, 08 Sep 2022 12:33:21: Epoch [18/25], Step [650/1289], Loss: 0.0718
|
||||
Thu, 08 Sep 2022 12:33:21: Epoch [18/25], Step [700/1289], Loss: 0.0565
|
||||
Thu, 08 Sep 2022 12:33:21: Epoch [18/25], Step [750/1289], Loss: 0.0479
|
||||
Thu, 08 Sep 2022 12:33:21: Epoch [18/25], Step [800/1289], Loss: 0.1135
|
||||
Thu, 08 Sep 2022 12:33:22: Epoch [18/25], Step [850/1289], Loss: 0.0486
|
||||
Thu, 08 Sep 2022 12:33:22: Epoch [18/25], Step [900/1289], Loss: 0.0315
|
||||
Thu, 08 Sep 2022 12:33:22: Epoch [18/25], Step [950/1289], Loss: 0.1152
|
||||
Thu, 08 Sep 2022 12:33:23: Epoch [18/25], Step [1000/1289], Loss: 0.0574
|
||||
Thu, 08 Sep 2022 12:33:23: Epoch [18/25], Step [1050/1289], Loss: 0.0321
|
||||
Thu, 08 Sep 2022 12:33:23: Epoch [18/25], Step [1100/1289], Loss: 0.0424
|
||||
Thu, 08 Sep 2022 12:33:23: Epoch [18/25], Step [1150/1289], Loss: 0.0792
|
||||
Thu, 08 Sep 2022 12:33:24: Epoch [18/25], Step [1200/1289], Loss: 0.0273
|
||||
Thu, 08 Sep 2022 12:33:24: Epoch [18/25], Step [1250/1289], Loss: 0.0382
|
||||
Thu, 08 Sep 2022 12:33:24: Epoch [19/25], Step [50/1289], Loss: 0.0453
|
||||
Thu, 08 Sep 2022 12:33:25: Epoch [19/25], Step [100/1289], Loss: 0.0169
|
||||
Thu, 08 Sep 2022 12:33:25: Epoch [19/25], Step [150/1289], Loss: 0.0143
|
||||
Thu, 08 Sep 2022 12:33:25: Epoch [19/25], Step [200/1289], Loss: 0.0399
|
||||
Thu, 08 Sep 2022 12:33:25: Epoch [19/25], Step [250/1289], Loss: 0.0371
|
||||
Thu, 08 Sep 2022 12:33:26: Epoch [19/25], Step [300/1289], Loss: 0.1073
|
||||
Thu, 08 Sep 2022 12:33:26: Epoch [19/25], Step [350/1289], Loss: 0.0776
|
||||
Thu, 08 Sep 2022 12:33:26: Epoch [19/25], Step [400/1289], Loss: 0.0193
|
||||
Thu, 08 Sep 2022 12:33:26: Epoch [19/25], Step [450/1289], Loss: 0.0735
|
||||
Thu, 08 Sep 2022 12:33:27: Epoch [19/25], Step [500/1289], Loss: 0.0706
|
||||
Thu, 08 Sep 2022 12:33:27: Epoch [19/25], Step [550/1289], Loss: 0.0396
|
||||
Thu, 08 Sep 2022 12:33:27: Epoch [19/25], Step [600/1289], Loss: 0.0374
|
||||
Thu, 08 Sep 2022 12:33:28: Epoch [19/25], Step [650/1289], Loss: 0.0935
|
||||
Thu, 08 Sep 2022 12:33:28: Epoch [19/25], Step [700/1289], Loss: 0.0910
|
||||
Thu, 08 Sep 2022 12:33:28: Epoch [19/25], Step [750/1289], Loss: 0.1663
|
||||
Thu, 08 Sep 2022 12:33:28: Epoch [19/25], Step [800/1289], Loss: 0.0357
|
||||
Thu, 08 Sep 2022 12:33:29: Epoch [19/25], Step [850/1289], Loss: 0.0394
|
||||
Thu, 08 Sep 2022 12:33:29: Epoch [19/25], Step [900/1289], Loss: 0.1331
|
||||
Thu, 08 Sep 2022 12:33:29: Epoch [19/25], Step [950/1289], Loss: 0.0395
|
||||
Thu, 08 Sep 2022 12:33:29: Epoch [19/25], Step [1000/1289], Loss: 0.0204
|
||||
Thu, 08 Sep 2022 12:33:30: Epoch [19/25], Step [1050/1289], Loss: 0.0671
|
||||
Thu, 08 Sep 2022 12:33:30: Epoch [19/25], Step [1100/1289], Loss: 0.0354
|
||||
Thu, 08 Sep 2022 12:33:30: Epoch [19/25], Step [1150/1289], Loss: 0.1050
|
||||
Thu, 08 Sep 2022 12:33:31: Epoch [19/25], Step [1200/1289], Loss: 0.0460
|
||||
Thu, 08 Sep 2022 12:33:31: Epoch [19/25], Step [1250/1289], Loss: 0.0778
|
||||
Thu, 08 Sep 2022 12:33:31: Epoch [20/25], Step [50/1289], Loss: 0.0290
|
||||
Thu, 08 Sep 2022 12:33:32: Epoch [20/25], Step [100/1289], Loss: 0.0739
|
||||
Thu, 08 Sep 2022 12:33:32: Epoch [20/25], Step [150/1289], Loss: 0.0407
|
||||
Thu, 08 Sep 2022 12:33:32: Epoch [20/25], Step [200/1289], Loss: 0.0542
|
||||
Thu, 08 Sep 2022 12:33:32: Epoch [20/25], Step [250/1289], Loss: 0.0209
|
||||
Thu, 08 Sep 2022 12:33:33: Epoch [20/25], Step [300/1289], Loss: 0.0339
|
||||
Thu, 08 Sep 2022 12:33:33: Epoch [20/25], Step [350/1289], Loss: 0.0570
|
||||
Thu, 08 Sep 2022 12:33:33: Epoch [20/25], Step [400/1289], Loss: 0.0660
|
||||
Thu, 08 Sep 2022 12:33:33: Epoch [20/25], Step [450/1289], Loss: 0.1068
|
||||
Thu, 08 Sep 2022 12:33:34: Epoch [20/25], Step [500/1289], Loss: 0.0505
|
||||
Thu, 08 Sep 2022 12:33:34: Epoch [20/25], Step [550/1289], Loss: 0.0688
|
||||
Thu, 08 Sep 2022 12:33:34: Epoch [20/25], Step [600/1289], Loss: 0.0550
|
||||
Thu, 08 Sep 2022 12:33:35: Epoch [20/25], Step [650/1289], Loss: 0.0389
|
||||
Thu, 08 Sep 2022 12:33:35: Epoch [20/25], Step [700/1289], Loss: 0.1236
|
||||
Thu, 08 Sep 2022 12:33:35: Epoch [20/25], Step [750/1289], Loss: 0.0442
|
||||
Thu, 08 Sep 2022 12:33:35: Epoch [20/25], Step [800/1289], Loss: 0.0570
|
||||
Thu, 08 Sep 2022 12:33:36: Epoch [20/25], Step [850/1289], Loss: 0.0329
|
||||
Thu, 08 Sep 2022 12:33:36: Epoch [20/25], Step [900/1289], Loss: 0.0138
|
||||
Thu, 08 Sep 2022 12:33:36: Epoch [20/25], Step [950/1289], Loss: 0.0138
|
||||
Thu, 08 Sep 2022 12:33:36: Epoch [20/25], Step [1000/1289], Loss: 0.0731
|
||||
Thu, 08 Sep 2022 12:33:37: Epoch [20/25], Step [1050/1289], Loss: 0.1631
|
||||
Thu, 08 Sep 2022 12:33:37: Epoch [20/25], Step [1100/1289], Loss: 0.0469
|
||||
Thu, 08 Sep 2022 12:33:37: Epoch [20/25], Step [1150/1289], Loss: 0.0863
|
||||
Thu, 08 Sep 2022 12:33:38: Epoch [20/25], Step [1200/1289], Loss: 0.0564
|
||||
Thu, 08 Sep 2022 12:33:38: Epoch [20/25], Step [1250/1289], Loss: 0.0542
|
||||
Thu, 08 Sep 2022 12:33:38: Epoch [21/25], Step [50/1289], Loss: 0.0158
|
||||
Thu, 08 Sep 2022 12:33:39: Epoch [21/25], Step [100/1289], Loss: 0.0427
|
||||
Thu, 08 Sep 2022 12:33:39: Epoch [21/25], Step [150/1289], Loss: 0.0184
|
||||
Thu, 08 Sep 2022 12:33:39: Epoch [21/25], Step [200/1289], Loss: 0.0358
|
||||
Thu, 08 Sep 2022 12:33:39: Epoch [21/25], Step [250/1289], Loss: 0.0192
|
||||
Thu, 08 Sep 2022 12:33:40: Epoch [21/25], Step [300/1289], Loss: 0.0282
|
||||
Thu, 08 Sep 2022 12:33:40: Epoch [21/25], Step [350/1289], Loss: 0.0577
|
||||
Thu, 08 Sep 2022 12:33:40: Epoch [21/25], Step [400/1289], Loss: 0.0822
|
||||
Thu, 08 Sep 2022 12:33:41: Epoch [21/25], Step [450/1289], Loss: 0.0119
|
||||
Thu, 08 Sep 2022 12:33:41: Epoch [21/25], Step [500/1289], Loss: 0.0801
|
||||
Thu, 08 Sep 2022 12:33:41: Epoch [21/25], Step [550/1289], Loss: 0.1186
|
||||
Thu, 08 Sep 2022 12:33:41: Epoch [21/25], Step [600/1289], Loss: 0.0665
|
||||
Thu, 08 Sep 2022 12:33:42: Epoch [21/25], Step [650/1289], Loss: 0.0333
|
||||
Thu, 08 Sep 2022 12:33:42: Epoch [21/25], Step [700/1289], Loss: 0.0213
|
||||
Thu, 08 Sep 2022 12:33:42: Epoch [21/25], Step [750/1289], Loss: 0.0303
|
||||
Thu, 08 Sep 2022 12:33:43: Epoch [21/25], Step [800/1289], Loss: 0.0425
|
||||
Thu, 08 Sep 2022 12:33:43: Epoch [21/25], Step [850/1289], Loss: 0.0395
|
||||
Thu, 08 Sep 2022 12:33:43: Epoch [21/25], Step [900/1289], Loss: 0.0619
|
||||
Thu, 08 Sep 2022 12:33:43: Epoch [21/25], Step [950/1289], Loss: 0.1292
|
||||
Thu, 08 Sep 2022 12:33:44: Epoch [21/25], Step [1000/1289], Loss: 0.0391
|
||||
Thu, 08 Sep 2022 12:33:44: Epoch [21/25], Step [1050/1289], Loss: 0.0642
|
||||
Thu, 08 Sep 2022 12:33:44: Epoch [21/25], Step [1100/1289], Loss: 0.0958
|
||||
Thu, 08 Sep 2022 12:33:44: Epoch [21/25], Step [1150/1289], Loss: 0.0068
|
||||
Thu, 08 Sep 2022 12:33:45: Epoch [21/25], Step [1200/1289], Loss: 0.0134
|
||||
Thu, 08 Sep 2022 12:33:45: Epoch [21/25], Step [1250/1289], Loss: 0.0417
|
||||
Thu, 08 Sep 2022 12:33:46: Epoch [22/25], Step [50/1289], Loss: 0.0609
|
||||
Thu, 08 Sep 2022 12:33:46: Epoch [22/25], Step [100/1289], Loss: 0.0598
|
||||
Thu, 08 Sep 2022 12:33:46: Epoch [22/25], Step [150/1289], Loss: 0.0551
|
||||
Thu, 08 Sep 2022 12:33:46: Epoch [22/25], Step [200/1289], Loss: 0.0265
|
||||
Thu, 08 Sep 2022 12:33:47: Epoch [22/25], Step [250/1289], Loss: 0.0734
|
||||
Thu, 08 Sep 2022 12:33:47: Epoch [22/25], Step [300/1289], Loss: 0.0601
|
||||
Thu, 08 Sep 2022 12:33:47: Epoch [22/25], Step [350/1289], Loss: 0.0855
|
||||
Thu, 08 Sep 2022 12:33:47: Epoch [22/25], Step [400/1289], Loss: 0.0449
|
||||
Thu, 08 Sep 2022 12:33:48: Epoch [22/25], Step [450/1289], Loss: 0.0202
|
||||
Thu, 08 Sep 2022 12:33:48: Epoch [22/25], Step [500/1289], Loss: 0.0555
|
||||
Thu, 08 Sep 2022 12:33:48: Epoch [22/25], Step [550/1289], Loss: 0.0108
|
||||
Thu, 08 Sep 2022 12:33:49: Epoch [22/25], Step [600/1289], Loss: 0.0163
|
||||
Thu, 08 Sep 2022 12:33:49: Epoch [22/25], Step [650/1289], Loss: 0.0378
|
||||
Thu, 08 Sep 2022 12:33:49: Epoch [22/25], Step [700/1289], Loss: 0.0772
|
||||
Thu, 08 Sep 2022 12:33:49: Epoch [22/25], Step [750/1289], Loss: 0.0255
|
||||
Thu, 08 Sep 2022 12:33:50: Epoch [22/25], Step [800/1289], Loss: 0.0277
|
||||
Thu, 08 Sep 2022 12:33:50: Epoch [22/25], Step [850/1289], Loss: 0.0976
|
||||
Thu, 08 Sep 2022 12:33:50: Epoch [22/25], Step [900/1289], Loss: 0.0228
|
||||
Thu, 08 Sep 2022 12:33:51: Epoch [22/25], Step [950/1289], Loss: 0.0103
|
||||
Thu, 08 Sep 2022 12:33:51: Epoch [22/25], Step [1000/1289], Loss: 0.0174
|
||||
Thu, 08 Sep 2022 12:33:51: Epoch [22/25], Step [1050/1289], Loss: 0.0583
|
||||
Thu, 08 Sep 2022 12:33:51: Epoch [22/25], Step [1100/1289], Loss: 0.0349
|
||||
Thu, 08 Sep 2022 12:33:52: Epoch [22/25], Step [1150/1289], Loss: 0.0671
|
||||
Thu, 08 Sep 2022 12:33:52: Epoch [22/25], Step [1200/1289], Loss: 0.1325
|
||||
Thu, 08 Sep 2022 12:33:52: Epoch [22/25], Step [1250/1289], Loss: 0.0164
|
||||
Thu, 08 Sep 2022 12:33:53: Epoch [23/25], Step [50/1289], Loss: 0.0507
|
||||
Thu, 08 Sep 2022 12:33:53: Epoch [23/25], Step [100/1289], Loss: 0.0370
|
||||
Thu, 08 Sep 2022 12:33:53: Epoch [23/25], Step [150/1289], Loss: 0.0057
|
||||
Thu, 08 Sep 2022 12:33:53: Epoch [23/25], Step [200/1289], Loss: 0.0607
|
||||
Thu, 08 Sep 2022 12:33:54: Epoch [23/25], Step [250/1289], Loss: 0.0103
|
||||
Thu, 08 Sep 2022 12:33:54: Epoch [23/25], Step [300/1289], Loss: 0.0155
|
||||
Thu, 08 Sep 2022 12:33:54: Epoch [23/25], Step [350/1289], Loss: 0.0100
|
||||
Thu, 08 Sep 2022 12:33:55: Epoch [23/25], Step [400/1289], Loss: 0.0293
|
||||
Thu, 08 Sep 2022 12:33:55: Epoch [23/25], Step [450/1289], Loss: 0.0390
|
||||
Thu, 08 Sep 2022 12:33:55: Epoch [23/25], Step [500/1289], Loss: 0.0144
|
||||
Thu, 08 Sep 2022 12:33:55: Epoch [23/25], Step [550/1289], Loss: 0.0232
|
||||
Thu, 08 Sep 2022 12:33:56: Epoch [23/25], Step [600/1289], Loss: 0.0449
|
||||
Thu, 08 Sep 2022 12:33:56: Epoch [23/25], Step [650/1289], Loss: 0.0812
|
||||
Thu, 08 Sep 2022 12:33:56: Epoch [23/25], Step [700/1289], Loss: 0.0419
|
||||
Thu, 08 Sep 2022 12:33:56: Epoch [23/25], Step [750/1289], Loss: 0.0552
|
||||
Thu, 08 Sep 2022 12:33:57: Epoch [23/25], Step [800/1289], Loss: 0.0351
|
||||
Thu, 08 Sep 2022 12:33:57: Epoch [23/25], Step [850/1289], Loss: 0.0346
|
||||
Thu, 08 Sep 2022 12:33:57: Epoch [23/25], Step [900/1289], Loss: 0.0123
|
||||
Thu, 08 Sep 2022 12:33:58: Epoch [23/25], Step [950/1289], Loss: 0.0128
|
||||
Thu, 08 Sep 2022 12:33:58: Epoch [23/25], Step [1000/1289], Loss: 0.0290
|
||||
Thu, 08 Sep 2022 12:33:58: Epoch [23/25], Step [1050/1289], Loss: 0.0400
|
||||
Thu, 08 Sep 2022 12:33:58: Epoch [23/25], Step [1100/1289], Loss: 0.0249
|
||||
Thu, 08 Sep 2022 12:33:59: Epoch [23/25], Step [1150/1289], Loss: 0.1249
|
||||
Thu, 08 Sep 2022 12:33:59: Epoch [23/25], Step [1200/1289], Loss: 0.0157
|
||||
Thu, 08 Sep 2022 12:33:59: Epoch [23/25], Step [1250/1289], Loss: 0.0108
|
||||
Thu, 08 Sep 2022 12:34:00: Epoch [24/25], Step [50/1289], Loss: 0.0576
|
||||
Thu, 08 Sep 2022 12:34:00: Epoch [24/25], Step [100/1289], Loss: 0.0325
|
||||
Thu, 08 Sep 2022 12:34:00: Epoch [24/25], Step [150/1289], Loss: 0.0275
|
||||
Thu, 08 Sep 2022 12:34:01: Epoch [24/25], Step [200/1289], Loss: 0.0339
|
||||
Thu, 08 Sep 2022 12:34:01: Epoch [24/25], Step [250/1289], Loss: 0.0664
|
||||
Thu, 08 Sep 2022 12:34:01: Epoch [24/25], Step [300/1289], Loss: 0.0596
|
||||
Thu, 08 Sep 2022 12:34:01: Epoch [24/25], Step [350/1289], Loss: 0.1216
|
||||
Thu, 08 Sep 2022 12:34:02: Epoch [24/25], Step [400/1289], Loss: 0.0496
|
||||
Thu, 08 Sep 2022 12:34:02: Epoch [24/25], Step [450/1289], Loss: 0.0439
|
||||
Thu, 08 Sep 2022 12:34:02: Epoch [24/25], Step [500/1289], Loss: 0.0262
|
||||
Thu, 08 Sep 2022 12:34:02: Epoch [24/25], Step [550/1289], Loss: 0.0498
|
||||
Thu, 08 Sep 2022 12:34:03: Epoch [24/25], Step [600/1289], Loss: 0.0375
|
||||
Thu, 08 Sep 2022 12:34:03: Epoch [24/25], Step [650/1289], Loss: 0.0643
|
||||
Thu, 08 Sep 2022 12:34:03: Epoch [24/25], Step [700/1289], Loss: 0.0629
|
||||
Thu, 08 Sep 2022 12:34:04: Epoch [24/25], Step [750/1289], Loss: 0.0097
|
||||
Thu, 08 Sep 2022 12:34:04: Epoch [24/25], Step [800/1289], Loss: 0.0548
|
||||
Thu, 08 Sep 2022 12:34:04: Epoch [24/25], Step [850/1289], Loss: 0.0334
|
||||
Thu, 08 Sep 2022 12:34:04: Epoch [24/25], Step [900/1289], Loss: 0.0740
|
||||
Thu, 08 Sep 2022 12:34:05: Epoch [24/25], Step [950/1289], Loss: 0.0669
|
||||
Thu, 08 Sep 2022 12:34:05: Epoch [24/25], Step [1000/1289], Loss: 0.0192
|
||||
Thu, 08 Sep 2022 12:34:05: Epoch [24/25], Step [1050/1289], Loss: 0.0303
|
||||
Thu, 08 Sep 2022 12:34:05: Epoch [24/25], Step [1100/1289], Loss: 0.0416
|
||||
Thu, 08 Sep 2022 12:34:06: Epoch [24/25], Step [1150/1289], Loss: 0.0496
|
||||
Thu, 08 Sep 2022 12:34:06: Epoch [24/25], Step [1200/1289], Loss: 0.0061
|
||||
Thu, 08 Sep 2022 12:34:06: Epoch [24/25], Step [1250/1289], Loss: 0.0476
|
||||
Thu, 08 Sep 2022 12:34:07: Epoch [25/25], Step [50/1289], Loss: 0.0349
|
||||
Thu, 08 Sep 2022 12:34:07: Epoch [25/25], Step [100/1289], Loss: 0.0511
|
||||
Thu, 08 Sep 2022 12:34:07: Epoch [25/25], Step [150/1289], Loss: 0.0723
|
||||
Thu, 08 Sep 2022 12:34:08: Epoch [25/25], Step [200/1289], Loss: 0.0096
|
||||
Thu, 08 Sep 2022 12:34:08: Epoch [25/25], Step [250/1289], Loss: 0.0983
|
||||
Thu, 08 Sep 2022 12:34:08: Epoch [25/25], Step [300/1289], Loss: 0.0209
|
||||
Thu, 08 Sep 2022 12:34:08: Epoch [25/25], Step [350/1289], Loss: 0.0917
|
||||
Thu, 08 Sep 2022 12:34:09: Epoch [25/25], Step [400/1289], Loss: 0.0748
|
||||
Thu, 08 Sep 2022 12:34:09: Epoch [25/25], Step [450/1289], Loss: 0.0447
|
||||
Thu, 08 Sep 2022 12:34:09: Epoch [25/25], Step [500/1289], Loss: 0.0383
|
||||
Thu, 08 Sep 2022 12:34:09: Epoch [25/25], Step [550/1289], Loss: 0.0474
|
||||
Thu, 08 Sep 2022 12:34:10: Epoch [25/25], Step [600/1289], Loss: 0.0099
|
||||
Thu, 08 Sep 2022 12:34:10: Epoch [25/25], Step [650/1289], Loss: 0.0335
|
||||
Thu, 08 Sep 2022 12:34:10: Epoch [25/25], Step [700/1289], Loss: 0.0165
|
||||
Thu, 08 Sep 2022 12:34:10: Epoch [25/25], Step [750/1289], Loss: 0.0407
|
||||
Thu, 08 Sep 2022 12:34:11: Epoch [25/25], Step [800/1289], Loss: 0.0353
|
||||
Thu, 08 Sep 2022 12:34:11: Epoch [25/25], Step [850/1289], Loss: 0.0413
|
||||
Thu, 08 Sep 2022 12:34:11: Epoch [25/25], Step [900/1289], Loss: 0.0939
|
||||
Thu, 08 Sep 2022 12:34:12: Epoch [25/25], Step [950/1289], Loss: 0.0221
|
||||
Thu, 08 Sep 2022 12:34:12: Epoch [25/25], Step [1000/1289], Loss: 0.0690
|
||||
Thu, 08 Sep 2022 12:34:12: Epoch [25/25], Step [1050/1289], Loss: 0.0829
|
||||
Thu, 08 Sep 2022 12:34:12: Epoch [25/25], Step [1100/1289], Loss: 0.0420
|
||||
Thu, 08 Sep 2022 12:34:13: Epoch [25/25], Step [1150/1289], Loss: 0.0451
|
||||
Thu, 08 Sep 2022 12:34:13: Epoch [25/25], Step [1200/1289], Loss: 0.0051
|
||||
Thu, 08 Sep 2022 12:34:13: Epoch [25/25], Step [1250/1289], Loss: 0.0245
|
||||
Thu, 08 Sep 2022 12:34:13: start testing on test dataset
|
||||
Thu, 08 Sep 2022 12:34:14: f1 :0.9685435174354273
|
||||
Thu, 08 Sep 2022 12:34:15:
|
||||
precision recall f1-score support
|
||||
|
||||
0 0.9515 0.9886 0.9697 16090
|
||||
1 0.9881 0.9497 0.9685 16129
|
||||
|
||||
accuracy 0.9691 32219
|
||||
macro avg 0.9698 0.9691 0.9691 32219
|
||||
weighted avg 0.9698 0.9691 0.9691 32219
|
||||
|
||||
Thu, 08 Sep 2022 12:34:15:
|
||||
[[15906 184]
|
||||
[ 811 15318]]
|
||||
Thu, 08 Sep 2022 12:34:15: high_num,high_true,high_false:5660,5323,337
|
||||
Thu, 08 Sep 2022 12:34:15: low_num,low_true,low_false:10469,9995,474
|
||||
56
代码/sequenceShield/论文数据/消融实验cicddos2019.log
Normal file
56
代码/sequenceShield/论文数据/消融实验cicddos2019.log
Normal file
File diff suppressed because one or more lines are too long
219
代码/sequenceShield/论文数据/消融实验cicdos.log
Normal file
219
代码/sequenceShield/论文数据/消融实验cicdos.log
Normal file
@@ -0,0 +1,219 @@
|
||||
-------------
|
||||
|
||||
train_labels_true_num:8761
|
||||
train_labels_false_num:11599
|
||||
test_labels_true_num:2253
|
||||
test_labels_false_num:2875
|
||||
Epoch [1/100], Step [100/204], Loss: 0.5773
|
||||
Epoch [1/100], Step [200/204], Loss: 0.6388
|
||||
Epoch [2/100], Step [100/204], Loss: 0.6726
|
||||
Epoch [2/100], Step [200/204], Loss: 0.6504
|
||||
Epoch [3/100], Step [100/204], Loss: 0.5800
|
||||
Epoch [3/100], Step [200/204], Loss: 0.6140
|
||||
Epoch [4/100], Step [100/204], Loss: 0.6256
|
||||
Epoch [4/100], Step [200/204], Loss: 0.6264
|
||||
Epoch [5/100], Step [100/204], Loss: 0.6035
|
||||
Epoch [5/100], Step [200/204], Loss: 0.6379
|
||||
Epoch [6/100], Step [100/204], Loss: 0.6222
|
||||
Epoch [6/100], Step [200/204], Loss: 0.6503
|
||||
Epoch [7/100], Step [100/204], Loss: 0.5930
|
||||
Epoch [7/100], Step [200/204], Loss: 0.5964
|
||||
Epoch [8/100], Step [100/204], Loss: 0.5369
|
||||
Epoch [8/100], Step [200/204], Loss: 0.5704
|
||||
Epoch [9/100], Step [100/204], Loss: 0.5555
|
||||
Epoch [9/100], Step [200/204], Loss: 0.5992
|
||||
Epoch [10/100], Step [100/204], Loss: 0.6145
|
||||
Epoch [10/100], Step [200/204], Loss: 0.5506
|
||||
Epoch [11/100], Step [100/204], Loss: 0.5966
|
||||
Epoch [11/100], Step [200/204], Loss: 0.5883
|
||||
Epoch [12/100], Step [100/204], Loss: 0.6318
|
||||
Epoch [12/100], Step [200/204], Loss: 0.5881
|
||||
Epoch [13/100], Step [100/204], Loss: 0.5639
|
||||
Epoch [13/100], Step [200/204], Loss: 0.5850
|
||||
Epoch [14/100], Step [100/204], Loss: 0.5652
|
||||
Epoch [14/100], Step [200/204], Loss: 0.5539
|
||||
Epoch [15/100], Step [100/204], Loss: 0.6203
|
||||
Epoch [15/100], Step [200/204], Loss: 0.5652
|
||||
Epoch [16/100], Step [100/204], Loss: 0.5626
|
||||
Epoch [16/100], Step [200/204], Loss: 0.5655
|
||||
Epoch [17/100], Step [100/204], Loss: 0.5228
|
||||
Epoch [17/100], Step [200/204], Loss: 0.5335
|
||||
Epoch [18/100], Step [100/204], Loss: 0.5684
|
||||
Epoch [18/100], Step [200/204], Loss: 0.5556
|
||||
Epoch [19/100], Step [100/204], Loss: 0.5587
|
||||
Epoch [19/100], Step [200/204], Loss: 0.5593
|
||||
Epoch [20/100], Step [100/204], Loss: 0.5377
|
||||
Epoch [20/100], Step [200/204], Loss: 0.5143
|
||||
Epoch [21/100], Step [100/204], Loss: 0.4561
|
||||
Epoch [21/100], Step [200/204], Loss: 0.6072
|
||||
Epoch [22/100], Step [100/204], Loss: 0.5463
|
||||
Epoch [22/100], Step [200/204], Loss: 0.5555
|
||||
Epoch [23/100], Step [100/204], Loss: 0.4999
|
||||
Epoch [23/100], Step [200/204], Loss: 0.5530
|
||||
Epoch [24/100], Step [100/204], Loss: 0.5278
|
||||
Epoch [24/100], Step [200/204], Loss: 0.5478
|
||||
Epoch [25/100], Step [100/204], Loss: 0.4605
|
||||
Epoch [25/100], Step [200/204], Loss: 0.5045
|
||||
Epoch [26/100], Step [100/204], Loss: 0.5456
|
||||
Epoch [26/100], Step [200/204], Loss: 0.5467
|
||||
Epoch [27/100], Step [100/204], Loss: 0.4637
|
||||
Epoch [27/100], Step [200/204], Loss: 0.4772
|
||||
Epoch [28/100], Step [100/204], Loss: 0.4653
|
||||
Epoch [28/100], Step [200/204], Loss: 0.4680
|
||||
Epoch [29/100], Step [100/204], Loss: 0.4966
|
||||
Epoch [29/100], Step [200/204], Loss: 0.6628
|
||||
Epoch [30/100], Step [100/204], Loss: 0.5012
|
||||
Epoch [30/100], Step [200/204], Loss: 0.5298
|
||||
Epoch [31/100], Step [100/204], Loss: 0.5208
|
||||
Epoch [31/100], Step [200/204], Loss: 0.5327
|
||||
Epoch [32/100], Step [100/204], Loss: 0.5638
|
||||
Epoch [32/100], Step [200/204], Loss: 0.5106
|
||||
Epoch [33/100], Step [100/204], Loss: 0.5042
|
||||
Epoch [33/100], Step [200/204], Loss: 0.4278
|
||||
Epoch [34/100], Step [100/204], Loss: 0.4367
|
||||
Epoch [34/100], Step [200/204], Loss: 0.4685
|
||||
Epoch [35/100], Step [100/204], Loss: 0.5439
|
||||
Epoch [35/100], Step [200/204], Loss: 0.4942
|
||||
Epoch [36/100], Step [100/204], Loss: 0.4552
|
||||
Epoch [36/100], Step [200/204], Loss: 0.5172
|
||||
Epoch [37/100], Step [100/204], Loss: 0.4725
|
||||
Epoch [37/100], Step [200/204], Loss: 0.4899
|
||||
Epoch [38/100], Step [100/204], Loss: 0.5061
|
||||
Epoch [38/100], Step [200/204], Loss: 0.5334
|
||||
Epoch [39/100], Step [100/204], Loss: 0.3661
|
||||
Epoch [39/100], Step [200/204], Loss: 0.4392
|
||||
Epoch [40/100], Step [100/204], Loss: 0.4699
|
||||
Epoch [40/100], Step [200/204], Loss: 0.4923
|
||||
Epoch [41/100], Step [100/204], Loss: 0.5465
|
||||
Epoch [41/100], Step [200/204], Loss: 0.5062
|
||||
Epoch [42/100], Step [100/204], Loss: 0.5924
|
||||
Epoch [42/100], Step [200/204], Loss: 0.4408
|
||||
Epoch [43/100], Step [100/204], Loss: 0.5544
|
||||
Epoch [43/100], Step [200/204], Loss: 0.5737
|
||||
Epoch [44/100], Step [100/204], Loss: 0.5747
|
||||
Epoch [44/100], Step [200/204], Loss: 0.5123
|
||||
Epoch [45/100], Step [100/204], Loss: 0.4692
|
||||
Epoch [45/100], Step [200/204], Loss: 0.4635
|
||||
Epoch [46/100], Step [100/204], Loss: 0.4604
|
||||
Epoch [46/100], Step [200/204], Loss: 0.4519
|
||||
Epoch [47/100], Step [100/204], Loss: 0.5273
|
||||
Epoch [47/100], Step [200/204], Loss: 0.4581
|
||||
Epoch [48/100], Step [100/204], Loss: 0.4801
|
||||
Epoch [48/100], Step [200/204], Loss: 0.5385
|
||||
Epoch [49/100], Step [100/204], Loss: 0.4777
|
||||
Epoch [49/100], Step [200/204], Loss: 0.4946
|
||||
Epoch [50/100], Step [100/204], Loss: 0.4556
|
||||
Epoch [50/100], Step [200/204], Loss: 0.5252
|
||||
Epoch [51/100], Step [100/204], Loss: 0.4632
|
||||
Epoch [51/100], Step [200/204], Loss: 0.5127
|
||||
Epoch [52/100], Step [100/204], Loss: 0.4312
|
||||
Epoch [52/100], Step [200/204], Loss: 0.4337
|
||||
Epoch [53/100], Step [100/204], Loss: 0.4849
|
||||
Epoch [53/100], Step [200/204], Loss: 0.4474
|
||||
Epoch [54/100], Step [100/204], Loss: 0.4081
|
||||
Epoch [54/100], Step [200/204], Loss: 0.4393
|
||||
Epoch [55/100], Step [100/204], Loss: 0.4913
|
||||
Epoch [55/100], Step [200/204], Loss: 0.5067
|
||||
Epoch [56/100], Step [100/204], Loss: 0.4487
|
||||
Epoch [56/100], Step [200/204], Loss: 0.4832
|
||||
Epoch [57/100], Step [100/204], Loss: 0.3943
|
||||
Epoch [57/100], Step [200/204], Loss: 0.4254
|
||||
Epoch [58/100], Step [100/204], Loss: 0.5128
|
||||
Epoch [58/100], Step [200/204], Loss: 0.3711
|
||||
Epoch [59/100], Step [100/204], Loss: 0.3917
|
||||
Epoch [59/100], Step [200/204], Loss: 0.4399
|
||||
Epoch [60/100], Step [100/204], Loss: 0.4752
|
||||
Epoch [60/100], Step [200/204], Loss: 0.4945
|
||||
Epoch [61/100], Step [100/204], Loss: 0.4418
|
||||
Epoch [61/100], Step [200/204], Loss: 0.4325
|
||||
Epoch [62/100], Step [100/204], Loss: 0.4895
|
||||
Epoch [62/100], Step [200/204], Loss: 0.4339
|
||||
Epoch [63/100], Step [100/204], Loss: 0.4295
|
||||
Epoch [63/100], Step [200/204], Loss: 0.4190
|
||||
Epoch [64/100], Step [100/204], Loss: 0.4515
|
||||
Epoch [64/100], Step [200/204], Loss: 0.3403
|
||||
Epoch [65/100], Step [100/204], Loss: 0.4535
|
||||
Epoch [65/100], Step [200/204], Loss: 0.4763
|
||||
Epoch [66/100], Step [100/204], Loss: 0.3921
|
||||
Epoch [66/100], Step [200/204], Loss: 0.4390
|
||||
Epoch [67/100], Step [100/204], Loss: 0.5114
|
||||
Epoch [67/100], Step [200/204], Loss: 0.4271
|
||||
Epoch [68/100], Step [100/204], Loss: 0.4046
|
||||
Epoch [68/100], Step [200/204], Loss: 0.5085
|
||||
Epoch [69/100], Step [100/204], Loss: 0.4109
|
||||
Epoch [69/100], Step [200/204], Loss: 0.4988
|
||||
Epoch [70/100], Step [100/204], Loss: 0.4841
|
||||
Epoch [70/100], Step [200/204], Loss: 0.4828
|
||||
Epoch [71/100], Step [100/204], Loss: 0.4320
|
||||
Epoch [71/100], Step [200/204], Loss: 0.3802
|
||||
Epoch [72/100], Step [100/204], Loss: 0.4256
|
||||
Epoch [72/100], Step [200/204], Loss: 0.3851
|
||||
Epoch [73/100], Step [100/204], Loss: 0.3691
|
||||
Epoch [73/100], Step [200/204], Loss: 0.4702
|
||||
Epoch [74/100], Step [100/204], Loss: 0.4324
|
||||
Epoch [74/100], Step [200/204], Loss: 0.3674
|
||||
Epoch [75/100], Step [100/204], Loss: 0.3695
|
||||
Epoch [75/100], Step [200/204], Loss: 0.4532
|
||||
Epoch [76/100], Step [100/204], Loss: 0.4010
|
||||
Epoch [76/100], Step [200/204], Loss: 0.4546
|
||||
Epoch [77/100], Step [100/204], Loss: 0.3488
|
||||
Epoch [77/100], Step [200/204], Loss: 0.3894
|
||||
Epoch [78/100], Step [100/204], Loss: 0.4411
|
||||
Epoch [78/100], Step [200/204], Loss: 0.5017
|
||||
Epoch [79/100], Step [100/204], Loss: 0.5022
|
||||
Epoch [79/100], Step [200/204], Loss: 0.4536
|
||||
Epoch [80/100], Step [100/204], Loss: 0.4444
|
||||
Epoch [80/100], Step [200/204], Loss: 0.4854
|
||||
Epoch [81/100], Step [100/204], Loss: 0.4333
|
||||
Epoch [81/100], Step [200/204], Loss: 0.4518
|
||||
Epoch [82/100], Step [100/204], Loss: 0.3467
|
||||
Epoch [82/100], Step [200/204], Loss: 0.4394
|
||||
Epoch [83/100], Step [100/204], Loss: 0.4291
|
||||
Epoch [83/100], Step [200/204], Loss: 0.4267
|
||||
Epoch [84/100], Step [100/204], Loss: 0.5087
|
||||
Epoch [84/100], Step [200/204], Loss: 0.4348
|
||||
Epoch [85/100], Step [100/204], Loss: 0.5152
|
||||
Epoch [85/100], Step [200/204], Loss: 0.4159
|
||||
Epoch [86/100], Step [100/204], Loss: 0.3804
|
||||
Epoch [86/100], Step [200/204], Loss: 0.4584
|
||||
Epoch [87/100], Step [100/204], Loss: 0.4576
|
||||
Epoch [87/100], Step [200/204], Loss: 0.4082
|
||||
Epoch [88/100], Step [100/204], Loss: 0.3841
|
||||
Epoch [88/100], Step [200/204], Loss: 0.4844
|
||||
Epoch [89/100], Step [100/204], Loss: 0.4664
|
||||
Epoch [89/100], Step [200/204], Loss: 0.4438
|
||||
Epoch [90/100], Step [100/204], Loss: 0.4502
|
||||
Epoch [90/100], Step [200/204], Loss: 0.4556
|
||||
Epoch [91/100], Step [100/204], Loss: 0.3827
|
||||
Epoch [91/100], Step [200/204], Loss: 0.4415
|
||||
Epoch [92/100], Step [100/204], Loss: 0.4291
|
||||
Epoch [92/100], Step [200/204], Loss: 0.3953
|
||||
Epoch [93/100], Step [100/204], Loss: 0.4278
|
||||
Epoch [93/100], Step [200/204], Loss: 0.4034
|
||||
Epoch [94/100], Step [100/204], Loss: 0.3973
|
||||
Epoch [94/100], Step [200/204], Loss: 0.4180
|
||||
Epoch [95/100], Step [100/204], Loss: 0.4040
|
||||
Epoch [95/100], Step [200/204], Loss: 0.5350
|
||||
Epoch [96/100], Step [100/204], Loss: 0.3889
|
||||
Epoch [96/100], Step [200/204], Loss: 0.4369
|
||||
Epoch [97/100], Step [100/204], Loss: 0.4524
|
||||
Epoch [97/100], Step [200/204], Loss: 0.3492
|
||||
Epoch [98/100], Step [100/204], Loss: 0.3846
|
||||
Epoch [98/100], Step [200/204], Loss: 0.3982
|
||||
Epoch [99/100], Step [100/204], Loss: 0.4332
|
||||
Epoch [99/100], Step [200/204], Loss: 0.4201
|
||||
Epoch [100/100], Step [100/204], Loss: 0.3457
|
||||
Epoch [100/100], Step [200/204], Loss: 0.3525
|
||||
f1 :0.7344894026974952
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.8416 0.6414 0.7280 2875
|
||||
1.0 0.6490 0.8460 0.7345 2253
|
||||
|
||||
accuracy 0.7313 5128
|
||||
macro avg 0.7453 0.7437 0.7312 5128
|
||||
weighted avg 0.7570 0.7313 0.7308 5128
|
||||
|
||||
[[1844 1031]
|
||||
[ 347 1906]]
|
||||
parameters: batch_size:100, num_epochs:100, learning_rage:0.001
|
||||
146
代码/sequenceShield/论文数据/消融实验cicids.log
Normal file
146
代码/sequenceShield/论文数据/消融实验cicids.log
Normal file
@@ -0,0 +1,146 @@
|
||||
-------------
|
||||
消融实验
|
||||
|
||||
Epoch [1/10], Step [100/1393], Loss: 0.2833
|
||||
Epoch [1/10], Step [200/1393], Loss: 0.2111
|
||||
Epoch [1/10], Step [300/1393], Loss: 0.1718
|
||||
Epoch [1/10], Step [400/1393], Loss: 0.1856
|
||||
Epoch [1/10], Step [500/1393], Loss: 0.2533
|
||||
Epoch [1/10], Step [600/1393], Loss: 0.2319
|
||||
Epoch [1/10], Step [700/1393], Loss: 0.2430
|
||||
Epoch [1/10], Step [800/1393], Loss: 0.1074
|
||||
Epoch [1/10], Step [900/1393], Loss: 0.1349
|
||||
Epoch [1/10], Step [1000/1393], Loss: 0.1880
|
||||
Epoch [1/10], Step [1100/1393], Loss: 0.1751
|
||||
Epoch [1/10], Step [1200/1393], Loss: 0.1436
|
||||
Epoch [1/10], Step [1300/1393], Loss: 0.1705
|
||||
Epoch [2/10], Step [100/1393], Loss: 0.1664
|
||||
Epoch [2/10], Step [200/1393], Loss: 0.1973
|
||||
Epoch [2/10], Step [300/1393], Loss: 0.1620
|
||||
Epoch [2/10], Step [400/1393], Loss: 0.1348
|
||||
Epoch [2/10], Step [500/1393], Loss: 0.1789
|
||||
Epoch [2/10], Step [600/1393], Loss: 0.3098
|
||||
Epoch [2/10], Step [700/1393], Loss: 0.1128
|
||||
Epoch [2/10], Step [800/1393], Loss: 0.1618
|
||||
Epoch [2/10], Step [900/1393], Loss: 0.2589
|
||||
Epoch [2/10], Step [1000/1393], Loss: 0.1305
|
||||
Epoch [2/10], Step [1100/1393], Loss: 0.1258
|
||||
Epoch [2/10], Step [1200/1393], Loss: 0.0759
|
||||
Epoch [2/10], Step [1300/1393], Loss: 0.2165
|
||||
Epoch [3/10], Step [100/1393], Loss: 0.2520
|
||||
Epoch [3/10], Step [200/1393], Loss: 0.4182
|
||||
Epoch [3/10], Step [300/1393], Loss: 0.3828
|
||||
Epoch [3/10], Step [400/1393], Loss: 0.2408
|
||||
Epoch [3/10], Step [500/1393], Loss: 0.2207
|
||||
Epoch [3/10], Step [600/1393], Loss: 0.2200
|
||||
Epoch [3/10], Step [700/1393], Loss: 0.1013
|
||||
Epoch [3/10], Step [800/1393], Loss: 0.1345
|
||||
Epoch [3/10], Step [900/1393], Loss: 0.1695
|
||||
Epoch [3/10], Step [1000/1393], Loss: 0.1814
|
||||
Epoch [3/10], Step [1100/1393], Loss: 0.1934
|
||||
Epoch [3/10], Step [1200/1393], Loss: 0.1817
|
||||
Epoch [3/10], Step [1300/1393], Loss: 0.2932
|
||||
Epoch [4/10], Step [100/1393], Loss: 0.1825
|
||||
Epoch [4/10], Step [200/1393], Loss: 0.1725
|
||||
Epoch [4/10], Step [300/1393], Loss: 0.1596
|
||||
Epoch [4/10], Step [400/1393], Loss: 0.1305
|
||||
Epoch [4/10], Step [500/1393], Loss: 0.1608
|
||||
Epoch [4/10], Step [600/1393], Loss: 0.1833
|
||||
Epoch [4/10], Step [700/1393], Loss: 0.2013
|
||||
Epoch [4/10], Step [800/1393], Loss: 0.3122
|
||||
Epoch [4/10], Step [900/1393], Loss: 0.1337
|
||||
Epoch [4/10], Step [1000/1393], Loss: 0.1932
|
||||
Epoch [4/10], Step [1100/1393], Loss: 0.1718
|
||||
Epoch [4/10], Step [1200/1393], Loss: 0.1659
|
||||
Epoch [4/10], Step [1300/1393], Loss: 0.1861
|
||||
Epoch [5/10], Step [100/1393], Loss: 0.2272
|
||||
Epoch [5/10], Step [200/1393], Loss: 0.2494
|
||||
Epoch [5/10], Step [300/1393], Loss: 0.1841
|
||||
Epoch [5/10], Step [400/1393], Loss: 0.1945
|
||||
Epoch [5/10], Step [500/1393], Loss: 0.1286
|
||||
Epoch [5/10], Step [600/1393], Loss: 0.2608
|
||||
Epoch [5/10], Step [700/1393], Loss: 0.1568
|
||||
Epoch [5/10], Step [800/1393], Loss: 0.1869
|
||||
Epoch [5/10], Step [900/1393], Loss: 0.0562
|
||||
Epoch [5/10], Step [1000/1393], Loss: 0.1738
|
||||
Epoch [5/10], Step [1100/1393], Loss: 0.2265
|
||||
Epoch [5/10], Step [1200/1393], Loss: 0.1248
|
||||
Epoch [5/10], Step [1300/1393], Loss: 0.2124
|
||||
Epoch [6/10], Step [100/1393], Loss: 0.1786
|
||||
Epoch [6/10], Step [200/1393], Loss: 0.2353
|
||||
Epoch [6/10], Step [300/1393], Loss: 0.1871
|
||||
Epoch [6/10], Step [400/1393], Loss: 0.2299
|
||||
Epoch [6/10], Step [500/1393], Loss: 0.1859
|
||||
Epoch [6/10], Step [600/1393], Loss: 0.1900
|
||||
Epoch [6/10], Step [700/1393], Loss: 0.1209
|
||||
Epoch [6/10], Step [800/1393], Loss: 0.2578
|
||||
Epoch [6/10], Step [900/1393], Loss: 0.1724
|
||||
Epoch [6/10], Step [1000/1393], Loss: 0.1989
|
||||
Epoch [6/10], Step [1100/1393], Loss: 0.1935
|
||||
Epoch [6/10], Step [1200/1393], Loss: 0.1389
|
||||
Epoch [6/10], Step [1300/1393], Loss: 0.2205
|
||||
Epoch [7/10], Step [100/1393], Loss: 0.1572
|
||||
Epoch [7/10], Step [200/1393], Loss: 0.1368
|
||||
Epoch [7/10], Step [300/1393], Loss: 0.1598
|
||||
Epoch [7/10], Step [400/1393], Loss: 0.1821
|
||||
Epoch [7/10], Step [500/1393], Loss: 0.2070
|
||||
Epoch [7/10], Step [600/1393], Loss: 0.1827
|
||||
Epoch [7/10], Step [700/1393], Loss: 0.1566
|
||||
Epoch [7/10], Step [800/1393], Loss: 0.2669
|
||||
Epoch [7/10], Step [900/1393], Loss: 0.1561
|
||||
Epoch [7/10], Step [1000/1393], Loss: 0.1671
|
||||
Epoch [7/10], Step [1100/1393], Loss: 0.2207
|
||||
Epoch [7/10], Step [1200/1393], Loss: 0.1665
|
||||
Epoch [7/10], Step [1300/1393], Loss: 0.1979
|
||||
Epoch [8/10], Step [100/1393], Loss: 0.1250
|
||||
Epoch [8/10], Step [200/1393], Loss: 0.2229
|
||||
Epoch [8/10], Step [300/1393], Loss: 0.1500
|
||||
Epoch [8/10], Step [400/1393], Loss: 0.2105
|
||||
Epoch [8/10], Step [500/1393], Loss: 0.2668
|
||||
Epoch [8/10], Step [600/1393], Loss: 0.1415
|
||||
Epoch [8/10], Step [700/1393], Loss: 0.1761
|
||||
Epoch [8/10], Step [800/1393], Loss: 0.2771
|
||||
Epoch [8/10], Step [900/1393], Loss: 0.1176
|
||||
Epoch [8/10], Step [1000/1393], Loss: 0.1482
|
||||
Epoch [8/10], Step [1100/1393], Loss: 0.3225
|
||||
Epoch [8/10], Step [1200/1393], Loss: 0.1896
|
||||
Epoch [8/10], Step [1300/1393], Loss: 0.1395
|
||||
Epoch [9/10], Step [100/1393], Loss: 0.1593
|
||||
Epoch [9/10], Step [200/1393], Loss: 0.1662
|
||||
Epoch [9/10], Step [300/1393], Loss: 0.2157
|
||||
Epoch [9/10], Step [400/1393], Loss: 0.2724
|
||||
Epoch [9/10], Step [500/1393], Loss: 0.2839
|
||||
Epoch [9/10], Step [600/1393], Loss: 0.2443
|
||||
Epoch [9/10], Step [700/1393], Loss: 0.1408
|
||||
Epoch [9/10], Step [800/1393], Loss: 0.1481
|
||||
Epoch [9/10], Step [900/1393], Loss: 0.2732
|
||||
Epoch [9/10], Step [1000/1393], Loss: 0.2190
|
||||
Epoch [9/10], Step [1100/1393], Loss: 0.1937
|
||||
Epoch [9/10], Step [1200/1393], Loss: 0.2124
|
||||
Epoch [9/10], Step [1300/1393], Loss: 0.1969
|
||||
Epoch [10/10], Step [100/1393], Loss: 0.1402
|
||||
Epoch [10/10], Step [200/1393], Loss: 0.1555
|
||||
Epoch [10/10], Step [300/1393], Loss: 0.1525
|
||||
Epoch [10/10], Step [400/1393], Loss: 0.1613
|
||||
Epoch [10/10], Step [500/1393], Loss: 0.3453
|
||||
Epoch [10/10], Step [600/1393], Loss: 0.1729
|
||||
Epoch [10/10], Step [700/1393], Loss: 0.1972
|
||||
Epoch [10/10], Step [800/1393], Loss: 0.1119
|
||||
Epoch [10/10], Step [900/1393], Loss: 0.1912
|
||||
Epoch [10/10], Step [1000/1393], Loss: 0.1875
|
||||
Epoch [10/10], Step [1100/1393], Loss: 0.2019
|
||||
Epoch [10/10], Step [1200/1393], Loss: 0.1885
|
||||
Epoch [10/10], Step [1300/1393], Loss: 0.2585
|
||||
f1 :0.9322737844722561
|
||||
precision recall f1-score support
|
||||
|
||||
0.0 0.8951 0.9623 0.9275 16253
|
||||
1.0 0.9649 0.9018 0.9323 18668
|
||||
|
||||
accuracy 0.9300 34921
|
||||
macro avg 0.9300 0.9320 0.9299 34921
|
||||
weighted avg 0.9324 0.9300 0.9300 34921
|
||||
|
||||
[[15640 613]
|
||||
[ 1833 16835]]
|
||||
parameters: batch_size:100, num_epochs:10, learning_rage:0.001
|
||||
1
图表/.$model.drawio.bkp
Executable file
1
图表/.$model.drawio.bkp
Executable file
@@ -0,0 +1 @@
|
||||
<mxfile host="Electron" modified="2022-10-28T02:15:33.759Z" agent="5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/20.3.0 Chrome/104.0.5112.114 Electron/20.1.3 Safari/537.36" etag="TFiBHeQM1K9M4qVYA7uz" version="20.3.0" type="device"><diagram id="C5RBs43oDa-KdzZeNtuy" name="Page-1">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</diagram></mxfile>
|
||||
1
图表/.$modelDetail.drawio.bkp
Executable file
1
图表/.$modelDetail.drawio.bkp
Executable file
File diff suppressed because one or more lines are too long
1
图表/http.drawio
Executable file
1
图表/http.drawio
Executable file
@@ -0,0 +1 @@
|
||||
<mxfile host="Electron" modified="2022-10-28T03:02:23.518Z" agent="5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/20.3.0 Chrome/104.0.5112.114 Electron/20.1.3 Safari/537.36" etag="bQ56yCyFF-njzPWOJ2eW" version="20.3.0" type="device"><diagram id="UZPzPAx5Bwuhdh0xrTPz" name="第 1 页">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</diagram></mxfile>
|
||||
BIN
图表/http.pdf
Executable file
BIN
图表/http.pdf
Executable file
Binary file not shown.
1
图表/model.drawio
Executable file
1
图表/model.drawio
Executable file
@@ -0,0 +1 @@
|
||||
<mxfile host="Electron" modified="2022-11-09T10:26:17.671Z" agent="5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/20.3.0 Chrome/104.0.5112.114 Electron/20.1.3 Safari/537.36" etag="T6ALPVuoIVAKXUefqJfX" version="20.3.0" type="device"><diagram id="C5RBs43oDa-KdzZeNtuy" name="Page-1">7VtbU+JIGP01PJrqS66PC4g641o74kjNvGy1SQcyhjSTNCL++umQCyTdzoJDs2jhA8LXSTDnnO/asYN70+eLlMwmf7OAxh0EgucO7ncQ8lwkXnPDsjBYLigM4zQKChNcG4bRCy2N1WHzKKBZ40DOWMyjWdPosyShPm/YSJqyRfOwkMXNb52RMZUMQ5/EsnUUBXxSWF3krO2XNBpPqm+GtlesTEl1cHkn2YQEbLFhwucd3EsZ48W76XOPxjl2FS6jq+Uovn60Lz59yX6Sr93Pdzf3Z8XFBrucUt9CShP+5kt/iocBHI3v464bfUazq+HcHpSngCcSz0u8ynvlywrAlM2TgOYXgR3cXUwiTocz4uerC6EYYQujOO6xmKWrE/DAGXiDnrBnPGWPdGPF9l36EIqVgGST+pIhS/iATKM4V9hdNBVqQeCGLsTrLZuSRByyJQAlUE805fR5g/4SkAvKppSnS3FIuYpBCUApbugBw7EK02KtllpFkw2lIOAZqDyWlCId19+wJkK8KbnYgRco8fJPSs9mKfNplkXJWGJJ3LD4u7opzaIX8rCyAvGZzDnLCp/MoSZxNBZ49n2BIxWkdHOoIuEsf5UL0ygI8pO7MxYlfHVXVrdj9VssJyyhEsGlca0XoGK6jBDQ3Y751SnlbW7rB7vLwLSaMnAtlQygCWQZVLa9SwBrcM0HQDG1Va4JqAvcLTnRRgNqemMdeTc58BQcQEcXCaZEwg3lC5Y+dpAtUIO5xO9SEoaRLw7rE04kkgqoq9yDcvAnZJYvTp/Heco1wpgt/AlJuTGdi8R4FjB/Pl1hq+R01+ApeV1TEyEJvMBSaYJQE2IkOaEijOhSBLRQUxEONBR+iRWa0CYJS5LEQPCX400FgnOfq8LzFp66O5H6wqFdZ7YKeHVihNip+NjEHuvC3pawP098FnwAxJtwi8/HALcjwX2VOzwRGmeJWBjSn3OaCEzXwfCCJuKAYv1UomjNjUqFqNKjrUsf3n+XKHXT1EAa7ER0O18WbSEqfueXzTEBhp3ztepbETLMnMyEcX9Sft0ReTvyzFZwVXq7qtpEuqiESEO5+Y46Qctsd4JIUWm8wkkdlfdPi9wF9Cmn/inA7lsANmj3gI6q1ASHbAGh3H78uVMedw9oWe08p6Khni5u0rD22P0TIRf9tzc3Zw8kE8gjUA5ND1GBbvoC0EaC3ar+XUUj7qpCocZI+IZi9BQqNcnjjXMabYUolCvRhjhqRaxF8nGc1fIMz2sQgrGtyl2qoGnpoqTSxKk52JHO1pYEtmTnspRVaN1D7J9LRfqj2TwWEe/3007422lnNedEr3hcGYlBPow60KRTW3XptgY8WNnyqXKqPg91NVSX76jlczynwQl0ve3SmIikuiiR81if0pmwXFOSJqeNvz1LwK0kX0vAlCVw2F0/HTvyx93yuaDphwJdmQRHQQJEti4W5GnYXUqikwPunXuzxT1UVa6qIKzPA+W02ItJlkXh8t3vM7kISzt71lHs7GE5812TBxp/RMgxOIrdPXObDm2HhxcCwkk+Edtj/9xKYzAIQqBKYxA42KM6WTRxTVnFoi03Zp6tYhBZ+loz85VMJbwGDCk/ZSvdKrCQ4TqyL+vaJ+BL+n3wL/5Bxvawn33pJsOMbvMU5yFHLWY1avEM0VL98aQlZbx4oAD3zzyoaDlXPzqd33ENy25mTdc2AJZpd2t9NApVvJcAoOReflL0xP0+BzetbUEM1bn78MTLgf9EvF6nx9gzquckDsb9wvJGYPn0dRKELj5fePbs8tuxBfx9z9aDKC337UT1SDOucwjY3upUOLfGcfvo9vvlt+vH9IFYL+FtP/zhLE/pvPTsMI5m91VFKN5flu91ScGsEnrl7sg2sKK00+ruSkGccnwtCN0icP6HfC8+rv+LbLW28a94+PwX</diagram></mxfile>
|
||||
BIN
图表/model.pdf
Executable file
BIN
图表/model.pdf
Executable file
Binary file not shown.
1
图表/modelDetail.drawio
Executable file
1
图表/modelDetail.drawio
Executable file
@@ -0,0 +1 @@
|
||||
<mxfile host="Electron" modified="2022-10-28T09:07:25.881Z" agent="5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) draw.io/20.3.0 Chrome/104.0.5112.114 Electron/20.1.3 Safari/537.36" etag="jJ6cqIWJoHPFDkDsth-E" version="20.3.0" type="device"><diagram id="zL-iCrb9HvMfhgKDSkud" name="第 1 页">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</diagram></mxfile>
|
||||
1
图表/slowbody.drawio
Executable file
1
图表/slowbody.drawio
Executable file
@@ -0,0 +1 @@
|
||||
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图表/slowbody.pdf
Executable file
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图表/slowbody.pdf
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图表/slowheader.drawio
Executable file
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图表/slowheader.drawio
Executable file
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BIN
图表/slowheader.pdf
Executable file
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图表/slowheader.pdf
Executable file
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图表/slowread.drawio
Executable file
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图表/slowread.drawio
Executable file
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BIN
图表/slowread.pdf
Executable file
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图表/slowread.pdf
Executable file
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图表/synflood.drawio
Executable file
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图表/synflood.drawio
Executable file
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||||
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||||
BIN
图表/synflood.pdf
Executable file
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图表/synflood.pdf
Executable file
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图表/udpflood.drawio
Executable file
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图表/udpflood.drawio
Executable file
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图表/udpflood.pdf
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材料/.DS_Store
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材料/.DS_Store
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材料/114-邓泽一-sequenceShield/.DS_Store
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材料/114-邓泽一-sequenceShield/.DS_Store
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材料/114-邓泽一-sequenceShield/HPCC2022-官网首页.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-官网首页.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-投稿审批.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-投稿审批.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-缴费通知.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-缴费通知.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-缴费通知细节.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-缴费通知细节.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-论文正文.pdf
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材料/114-邓泽一-sequenceShield/HPCC2022-论文正文.pdf
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材料/114-邓泽一-sequenceShield/zeyi_deng_student_status_proof.pdf
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材料/114-邓泽一-sequenceShield/zeyi_deng_student_status_proof.pdf
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材料/114-邓泽一-sequenceShield/论文信息采集统计表.xlsx
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材料/114-邓泽一-sequenceShield/论文信息采集统计表.xlsx
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材料/CopyrightReceipt.pdf
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材料/CopyrightReceipt.pdf
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材料/bank transfer receipt.png
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材料/bank transfer receipt.png
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材料/student status proof.pdf
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材料/student status proof.pdf
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材料/论文审查表.docx
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材料/论文审查表.docx
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Reference in New Issue
Block a user