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phi-1_5

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On behalf of the transformers team, we'd be happy to help with the integration within the library if there is desire from @gugarosa or @suriyagunasekar 🤗

Hi, I am currently working on this integration, PR. :)

Thank you !!

Will it support fine-tuning these models, such as phi-1 and phi-1.5?

Currently, during my finetuning, I encountered this warning

`attention_mask` is not supported during training. Using it might lead to unexpected results.
{'loss': 1.3228, 'learning_rate': 1.999875577156579e-05, 'epoch': 0.02}
  1%|▍                                                                                             | 300/59745 [06:19<20:47:29,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 301/59745 [06:20<20:48:14,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 302/59745 [06:22<20:48:01,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 303/59745 [06:23<20:47:31,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 304/59745 [06:24<20:48:13,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 305/59745 [06:25<20:49:27,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 306/59745 [06:27<20:48:52,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 307/59745 [06:28<20:48:29,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 308/59745 [06:29<20:49:14,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
  1%|▍                                                                                             | 309/59745 [06:30<20:49:49,  1.26s/it]`attention_mask` is not supported during training. Using it might lead to unexpected results.
{'loss': 1.5263, 'learning_rate': 1.9998671442394832e-05, 'epoch': 0.02}

Hi @SinclairWang , yes it will support attention_mask, so you won't get this warning.

Hello @SinclairWang ! Until phi is fully integrated in transformers, we added support for training/fine-tuning with attention mask in the files located in this repository.

You should not get the warning anymore if using the latest revision.