Why training an ITER is over
XXMxxm220 opened this issue · comments
Why training an ITER is over？
训练一个epoch后 不再继续
您好，问题解决了没
您好，问题解决了没
解决啦
分享一下呗
分享一下呗
你好，我采用的方法是在for it 前，加入了for epoch in range epochs：；epochs是我自己设定的训练周期，再将save_model语句也包含在for epoch 内，保证每个epch保存一次模型。
Why do you need this? You can compute the total iterations by len(dataset) * n_epoches / batch_size, and set the total iterations as this computation result.
Why do you need this? You can compute the total iterations by , and set the total iterations as this computation result.
len(dataset) * n_epoches / batch_size
You are right .Thank you for your response.I just wanted to use epoch to mean a training, not iters，so I choose that way. This approach also does not affect the final output