Hi,
I have a problem where I have 0 accuracy (and big loss) in training after resuming.
I managed to understand where it’s coming from.
When I resume to evaluate, and do “model.eval()” before processing data, I have a nice accuracy.
But when I resume before training, and do “model.train()”, my accuracy drops to 0.
I have a normal batch size, same between train/eval, I’m processing the same data, the same way, the only difference is the “model.train()” => really high loss, but with “model.eval()” => low loss.
Do you know how I could solve it?
Thanks for your answers