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Update docs for parameter rename

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OpenAIGPTLMHeadModel now accepts `labels` instead of `lm_labels`
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rococo // Ron
2019-07-24 11:27:08 -07:00
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parent 067923d326
commit 66b15f73f0
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pytorch_transformers/modeling_openai.py
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@@ -538,7 +538,7 @@ class OpenAIGPTLMHeadModel(OpenAIGPTPreTrainedModel):
r""" r"""
**labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``: **labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``:
Labels for language modeling. Labels for language modeling.
Note that the labels **are shifted** inside the model, i.e. you can set ``lm_labels = input_ids`` Note that the labels **are shifted** inside the model, i.e. you can set ``labels = input_ids``
Indices are selected in ``[-1, 0, ..., config.vocab_size]`` Indices are selected in ``[-1, 0, ..., config.vocab_size]``
All labels set to ``-1`` are ignored (masked), the loss is only All labels set to ``-1`` are ignored (masked), the loss is only
computed for labels in ``[0, ..., config.vocab_size]`` computed for labels in ``[0, ..., config.vocab_size]``