Hi,
I found that if I use model.eval() during test. I get much worst result than using model.train()
I think this may due to the running average of mean and std. The question i want to ask is: if I use model.train() and do a bunch of inference, is there any other variable change other than the running mean and std? Will the model deteriorate gradually? Thank you!