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Errors when I run generation #36
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Hi, According to the error message, one possible reason is that the fine-tuning of the model crashed. Can you check the training loss when you are fine-tuning the model? if the training loss goes to 0 and eval loss goes to nan, it means the training crashed. |
Thank you so much for the fast replying. |
Hi, According to the issue tloen/alpaca-lora#408, it seems like a CUDA issue. However, I can't reproduce the error from my side. But I found a solution for it by commenting Line 51-53 in evaluate.py. If you have further questions, please let us know! |
Thank you so much, |
How to resolve the crash of the experiment? |
Dear Authors,
Sorry for bothering you.
I am hitting errors for all datasets I tried to run the evaluation.
Could you please take a look at this?
Thanks!
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