Fix the issue of parameters updated as nan during reward model training. #69
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…ng. rw_finetuning.py Language model is loaded in torch.float16. Adam optimizer adds epsilon to avoid zero denominator. Note, torch.float 16 will round any number smaller than 6e-8 to 0. Do not change episolon to smaller than 6e-8.
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LGTM! 👍 |
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Language model is loaded in torch.float16. Adam optimizer adds epsilon to avoid zero denominator. Note, torch.float16 will round any number smaller than 6e-8 to 0. Do not change epsilon to smaller than 6e-8.