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Neftune computation is probably wrong with packed training

huggingface/transformers#34659·166457·Python·608 天未动·5 条评论·上游最近活跃 ·池内状态:可认领
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上游 issue 正文

### System Info v4.46.2 ### Who can help? _No response_ ### Information - [ ] The official example scripts - [ ] My own modified scripts ### Tasks - [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Neftune computation is probably wrong with packed training because the scaling factor is `alpha/sqrt(lenght*d)`. The length is the packed length there: https://github.com/huggingface/transformers/blob/a06a0d12636756352494b99b5b264ac9955bc735/src/transformers/trainer_utils.py#L126-L149 ### Expected behavior Should take into account the size of each sentence during computation.
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