add roberta support #1503
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add roberta support #1503
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vaskonov
reviewed
Nov 11, 2021
| @@ -184,7 +184,9 @@ def __call__(self, features: List[InputFeatures]) -> Tuple[List[int], List[int], | |||
| b_input_ids = torch.cat(input_ids, dim=0).to(self.device) | |||
| b_input_masks = torch.cat(input_masks, dim=0).to(self.device) | |||
| b_input_type_ids = torch.cat(input_type_ids, dim=0).to(self.device) | |||
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| if self.pretrained_bert == 'roberta-base': | |||
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it seems like we should generalize this condition (not only to roberta-base)
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Now distilbert, roberta, xlm, bart and longformer-like models can be trained correctly (confirmed on a GPU) |
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Add RoBERTa support in
squad_torch_bertconfig.The changes concern the shape of
token_type_idsspecific for RoBERTa