Closed sebastiangonsal closed 7 years ago
@sebastiangonsal Is it different than #61 closed by you?
Yes. This time the q is whether during your experimentation you tried freezing encoder weights and how bad were the results :) (Since you didn't freeze them in the final paper)
You set your model in evaluate()
mode while evaluating (experimentation) (here). Updating weights during inference does not even make sense unless you want to do online learning. So, we do freeze the weights of both encoder and decoder while evaluation and we have not mentioned otherwise in our paper. If we have said something like that in our paper, then please point it out so that we can fix that mistake.
I actually did not mean evaluation by "experimentation". I meant whether you experimented freezing already trained encoder weights while training the entire model and what was the performance of the resulting model.
Closing this.
Did you try freezing the encoder weights while training the entire model in second step?