日志文件log在python中的使用

一 记录训练过程

train_metrics = {
    
    "train_loss": 5, "train_acc": 6}
val_metrics = {
    
    "val_loss": 7, "val_acc": 8}

epochs = 10

metriclog = open('metric_2' + '.log', 'w')  # 创建日志文件
metriclog.write("train_loss" + "  " + "train_score" + "  " + "epoch" + "\n")

for epoch in range(1, epochs + 1):
    train_metrics["epoch"] = epoch
    metriclog.write(str(train_metrics["train_loss"])+"  "+str(train_metrics["train_acc"])+"  "+str(train_metrics["epoch"])+'\n')

    metriclog.flush()
metriclog.close()

结果为

train_metrics = {
    
    "train_loss": 5, "train_acc": 6}
val_metrics = {
    
    "val_loss": 7, "val_acc": 8}

epochs = 10
metriclog = open('metric_2' + '.log', 'w')  # 创建日志文件

metriclog.write("train_loss" + "  " + "train_score" + "  " + "val_loss" + "  " + "val_score" + "  " + "epoch" + "\n")

for epoch in range(1, epochs + 1):
    val_metrics["epoch"] = epoch
    metriclog.write(str(train_metrics["train_loss"]) + "  " + str(train_metrics["train_acc"]) + '  ')
    metriclog.write(str(val_metrics["val_loss"]) + "  " + str(val_metrics["val_acc"]) + "  " + str(val_metrics["epoch"]) + '\n')
    metriclog.flush()
metriclog.close()

用log文件记录训练过程的优势在于，训练中打开查看log文件不会影响训练过程，不会中断程序。