yu4u
commented
5 years ago Hi, I am wondering if using the validation loss as a stop criterion is reasonable if we assume that we have only noisy training data?
You are right. If you have only noisy data, you cannot perform validation. You should modify these lines that use "val" information.
https://github.com/yu4u/noise2noise/blob/master/train.py#L95-L99
IsabellLehmann
Hi, I am wondering if using the validation loss as a stop criterion is reasonable if we assume that we have only noisy training data? Or is it nit used? I just commented the line with the validation data and then I got the error message:
Traceback (most recent call last): File "train_speech.py", line 105, in
main()
File "train_speech.py", line 100, in main
callbacks=callbacks)
File "/net/home/Dokumente/PA/virtualenv/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, kwargs)
File "/net/home/Dokumente/PA/virtualenv/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/net/home/Dokumente/PA/virtualenv/lib/python3.6/site-packages/keras/engine/training_generator.py", line 251, in fit_generator
callbacks.on_epoch_end(epoch, epoch_logs)
File "/net/home/Dokumente/PA/virtualenv/lib/python3.6/site-packages/keras/callbacks.py", line 79, in on_epoch_end
callback.on_epoch_end(epoch, logs)
File "/net/home/Dokumente/PA/virtualenv/lib/python3.6/site-packages/keras/callbacks.py", line 429, in on_epoch_end
filepath = self.filepath.format(epoch=epoch + 1, logs)
KeyError: 'val_loss'
Do not wonder about the different file names, I rewrote it for speech but with validation data my code works.