Comments (5)
I've had issues saving/loading dlarray variables in mat files. I'm not sure this is supported. If that's the issue you could convert them to standard variables with extractdata() before saving them, and use dlarray() after loading them.
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Thank you a lot, I'll give it a try
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Saving and loading dlarray
-s is supported. If either of you have some reproduction steps for these issues I'd be happy to take a look. You can also report bugs here (there's a "Report a Bug" button near the top) if you think the bug isn't related to this repo.
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Thanks a lot for your help, I probably made some mistakes while saving the model after the fine-tuning phase but now it works perfectly, the variables and the parameters of the fine-tuned model are saved and loaded correctly, and it was not necessary to convert them first into standard variables.
from transformer-models.
No problem, glad it's working for you now.
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Related Issues (19)
- Class balancing in FineTune BERT HOT 4
- Do have any examples of "vision transformer"? HOT 2
- Provide sparse cross entropy implementation
- GPT-2 doesn't include dropout layers
- Add a GPT-2 training example HOT 2
- Allow usage of `tokenizedDocument` in BERT tokenization
- Test failures for `tmodel/negativeInputX`
- bert model function m-help should explain what "parameters" input is HOT 1
- Add a BERT training example HOT 1
- How to train a BERT model from scratch HOT 6
- when i try to run mdl = bert It stays an infinite time running. When I open the file that it creates on the computer "Parameters" it cannot be opened HOT 1
- Provide other GPT2 variants, e.g., 124M, 774M, 1.5B
- loss document HOT 2
- Predict masked tokens examples are not working anymore.
- predictMaskedToken fails when the first token is masked
- Query on nvp HOT 2
- what is numInputSubwords-by-numObs HOT 2
- Mismatch in transformer-models/+transformer/+layer/attention.m HOT 3
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