High loss and low bleu-4 for training about a-pytorch-tutorial-to-image-captioning HOT 7 OPEN

What exactly have you changed in the code?

Be wary of erasing things like

global best_bleu4, epochs_since_improvement, checkpoint, start_epoch, fine_tune_encoder, data_name, word_map

PEP will mark those as warnings, but here they they have a good use.

from a-pytorch-tutorial-to-image-captioning.

I just change the code "scores, _ = pack_padded_sequence(scores, decode _lengths, batch_first = True)" to "scores = pack_padded_sequence(scores, decode _lengths, batch_first = True).data " to debug. I also change some data parameters in the begin of train.py but I don't think it would influence a lot. I didn't change the global parameters code. Do you know how to make the loss convergence? Should I lower the learning rate?

from a-pytorch-tutorial-to-image-captioning.

Have you tried this fix instead?

from a-pytorch-tutorial-to-image-captioning.

Have you tried this fix instead?

Yeah, I just delete the '_', but the cross entrypy loss must accept two tensor parameters. So I add the '.data' to the end of this code.

from a-pytorch-tutorial-to-image-captioning.

That's true. They should be the same in the loss by using .data. Curios, is your loss just not decreasing, or is it getting worse?

from a-pytorch-tutorial-to-image-captioning.

That's true. They should be the same in the loss by using .data. Curios, is your loss just not decreasing, or is it getting worse?

My trian.py works, but the loss just not decreases.

from a-pytorch-tutorial-to-image-captioning.

I change the code "scores = pack_padded_sequence(scores, decode_lengths, batch_first=True)[0]",
Because he required these in the new version. After I finished these, I didn't encounter your situation

from a-pytorch-tutorial-to-image-captioning.