Skip to content

GitLab

"src/sdk/git@developer.sourcefind.cn:OpenDAS/nni.git" did not exist on "d25f7b50b761117174824aedeb3dae913b64c515"
Unverified Commit 03ec02a6 authored by Miguel Victor's avatar Miguel Victor Committed by GitHub
Browse files

Corrected typo: maked → masked (#7703)

parent 827c5194
Hide whitespace changes
Inline Side-by-side
Showing with 3 additions and 3 deletions
src/transformers/modeling_bert.py
View file @ 03ec02a6
...@@ -667,7 +667,7 @@ BERT_INPUTS_DOCSTRING = r""" ...@@ -667,7 +667,7 @@ BERT_INPUTS_DOCSTRING = r"""
Mask values selected in ``[0, 1]``: Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**, - 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>`__ `What are attention masks? <../glossary.html#attention-mask>`__
token_type_ids (:obj:`torch.LongTensor` of shape :obj:`({0})`, `optional`): token_type_ids (:obj:`torch.LongTensor` of shape :obj:`({0})`, `optional`):
...@@ -781,7 +781,7 @@ class BertModel(BertPreTrainedModel): ...@@ -781,7 +781,7 @@ class BertModel(BertPreTrainedModel):
Mask values selected in ``[0, 1]``: Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**, - 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_attentions = output_attentions if output_attentions is not None else self.config.output_attentions
output_hidden_states = ( output_hidden_states = (
...@@ -1012,7 +1012,7 @@ class BertLMHeadModel(BertPreTrainedModel): ...@@ -1012,7 +1012,7 @@ class BertLMHeadModel(BertPreTrainedModel):
Mask values selected in ``[0, 1]``: Mask values selected in ``[0, 1]``:
- 1 for tokens that are **not masked**, - 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 (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`):
Labels for computing the left-to-right language modeling loss (next word prediction). 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) Indices should be in ``[-100, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring)
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment