Developer chat

[Pomo (Malcolm McLean)]

Hi everyone. I would like to skip the validation step that follows each epoch while using fit_one_cycle(), and validate only when wanted. Is there is clear way to do this?

Here is a method from 2019. It does suppress the validation loss calculation.

Skipping validation loss calculation

Hello, I would like to sometimes be able to not run validation loss calculation at the end of each epoch to save time. Is there a better way to do so than: learn.data.valid_dl = None (this seems to work but doesn’t seem ideal) If I pass None to valid_ds when creating my databunch, we still have a valid loss being calculated (I imagine on the training data). Ideally we could have the training loss be calculated every n number of epochs. This seems like a whole other story, but if it’s eas…

Is there a better way with fastai2?

Thanks for your help!

Malcolm