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fixed TransfoXLLMHeadModel documentation #3661

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Apr 6, 2020
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fixed TransfoXLLMHeadModel documentation #3661

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2 changes: 1 addition & 1 deletion src/transformers/modeling_transfo_xl.py
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Expand Up @@ -859,7 +859,7 @@ def forward(self, input_ids=None, mems=None, head_mask=None, inputs_embeds=None,

Return:
:obj:`tuple(torch.FloatTensor)` comprising various elements depending on the configuration (:class:`~transformers.TransfoXLConfig`) and inputs:
loss (:obj:`torch.FloatTensor` of shape `(1,)`, `optional`, returned when ``labels`` is provided)
loss (:obj:`torch.FloatTensor` of shape `(batch_size, sequence_length)`, `optional`, returned when ``labels`` is provided)
Language modeling loss.
prediction_scores (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, config.vocab_size)`):
Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax).
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