Epoch size

[halameri]

How can I modify The iteration or epoch size to reduce the training time

[spagliarini]

Hi!
Do you mean how to save more frequently?

If so, you can change the parameter
train_save_secs

If you change this parameter, and you still want your loss being saved and plot ~at the same time (when you visualize it on Tensorboard) you need to change also the parameter
train_summary_secs
such that train_save_secs=train_summary_secs.

[halameri]

thank you for your response @spagliarini
I don't want save more frequently ,I want to reduce the epochs or iterations size because the training process take a long time (200k iterations)

[spagliarini]

I see. Then, until now the only way to stop the training I found is manual. So you just need to stop it earlier than 200k iterations. Just make sure that the generator is performing well enough by checking the preview. In #63 it was mentioned that good results were already obtained after 100k iterations, or earlier.

Actually, this is the first time that I deal with Tensorflow and for what I found in the Tensorflow documentation it is possible to automatically stop the training session fixing a threshold for the loss. But I couldn't find a good one. Are you more familiar with Tensorflow? Is there a way to stop the training that is based on the number of iterations?