Validation error is lower than training error

Hi there,

I am still observing this behavior in Fast AI Version 2.4

And found this post:

Is this still the case?

If anyone interested in answering it, I am happy to post more code if needed.

sure, that behavior has nothing to do with the fastai version. During training there is augmentation, dropout, etc … active. during validation there is no augmentation and dropout. so it’s easier for the model to give the right predictions during dropout.