Comments (2)
crux82
commented on July 17, 2024
1
It was a bug. It was expected that the batch size would always be equal to the default value (i.e. 64) while some batches (especially the last of each epoch) might not contain that number of examples.
I just committed a bug fix.
Could you confirm that it solved your problem?
Bests
Danilo
from ganbert-pytorch.
mahmoudyusuf94
commented on July 17, 2024
print(log_probs.shape)
--->torch.Size([64, 19])
print(label2one_hot.shape)
--->torch.Size([63, 19])
from ganbert-pytorch.
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