Comments (5)
Yea a simple solution could be:
for param in model.parameters():
param.requires_grad = True
And maybe also check the training tool you use if there is any with torch.no_grad(), etc.
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I found the solution. The problem was with the optimizer. Replacing the AdamW from transformers with the pytorch one did the trick. I also made sure all the params have requires_grad to be True and no torch.no_grad() was called.
PS: I used the same transformers version mentioned in the requirements.
from i-code.
I found the solution. The problem was with the optimizer. Replacing the AdamW from transformers with the pytorch one did the trick. I also made sure all the params have requires_grad to be True and no torch.no_grad() was called.
PS: I used the same transformers version mentioned in the requirements.
Hi, I want to ask that how to replacing the AdamW from transformers with the pytorch one. I can't find where the code is.
@swathikirans
from i-code.
@JaneLinlalala You can replace this line with from torch.optim import AdamW
or alternatively downgrade transformers to 4.20.1
from i-code.
@JaneLinlalala You can replace this line with
from torch.optim import AdamW
or alternatively downgrade transformers to 4.20.1
thank you!It worked.
from i-code.
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