If you choose this second option, there are three possibilities you can use to gather all the input Tensors

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Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general

Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general

This is useful if you want more control over how to convert input_ids indices into associated vectors

Passing single natural sentences into BERT input hurts the performance, compared to passing sequences consisting of several sentences. One of the most likely hypothesises explaining this phenomenon is the difficulty for a model to learn long-range dependencies only relying on single sentences.

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This is useful if you want more control over how to convert input_ids indices into associated vectors

Recent advancements in NLP showed that increase of the batch size with the appropriate decrease of the learning rate and the number of training steps usually tends to improve the model’s performance.

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Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads.

If you choose this second option, there are three possibilities you can use to gather all the input Tensors

This is useful if you want more control over how to convert input_ids indices into associated vectors