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Corrected typo: maked → masked (#7703)

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Miguel Victor
2020-10-11 16:45:00 -04:00
committed by GitHub
parent 827c519494
commit 03ec02a667
1 changed files with 3 additions and 3 deletions
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src/transformers/modeling_bert.py
+3 -3
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@@ -667,7 +667,7 @@ BERT_INPUTS_DOCSTRING = r"""
Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**,
- 0 for tokens that are **maked**.
- 0 for tokens that are **masked**.
`What are attention masks? <../glossary.html#attention-mask>`__
token_type_ids (:obj:`torch.LongTensor` of shape :obj:`({0})`, `optional`):
@@ -781,7 +781,7 @@ class BertModel(BertPreTrainedModel):
Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**,
- 0 for tokens that are **maked**.
- 0 for tokens that are **masked**.
"""
output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions
output_hidden_states = (
@@ -1012,7 +1012,7 @@ class BertLMHeadModel(BertPreTrainedModel):
Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**,
- 0 for tokens that are **maked**.
- 0 for tokens that are **masked**.
labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`):
Labels for computing the left-to-right language modeling loss (next word prediction).
Indices should be in ``[-100, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring)