Huggingface Transformers Attention Mask at Rebecca Rodriguez blog

Huggingface Transformers Attention Mask. It’s just there to make sure your model is not paying attention to the. The attention mask is modified to mask the current token (except at the first position), because it will give a query and a key equal (so. Attend to all tokens in masked rows from the expanded attention mask, for example the relevant first rows when using left padding. The attention_mask is mainly used to mask out padding tokens, or other special tokens which one doesn’t want to include in the. No the attention mask is not used in the loss computation. The attention mask is a binary tensor indicating the position of the padded indices so that the model does not attend to them.

Clarification on the attention_mask 🤗Transformers Hugging Face Forums
from discuss.huggingface.co

The attention mask is modified to mask the current token (except at the first position), because it will give a query and a key equal (so. The attention_mask is mainly used to mask out padding tokens, or other special tokens which one doesn’t want to include in the. It’s just there to make sure your model is not paying attention to the. The attention mask is a binary tensor indicating the position of the padded indices so that the model does not attend to them. Attend to all tokens in masked rows from the expanded attention mask, for example the relevant first rows when using left padding. No the attention mask is not used in the loss computation.

Clarification on the attention_mask 🤗Transformers Hugging Face Forums

Huggingface Transformers Attention Mask The attention_mask is mainly used to mask out padding tokens, or other special tokens which one doesn’t want to include in the. Attend to all tokens in masked rows from the expanded attention mask, for example the relevant first rows when using left padding. No the attention mask is not used in the loss computation. It’s just there to make sure your model is not paying attention to the. The attention mask is a binary tensor indicating the position of the padded indices so that the model does not attend to them. The attention mask is modified to mask the current token (except at the first position), because it will give a query and a key equal (so. The attention_mask is mainly used to mask out padding tokens, or other special tokens which one doesn’t want to include in the.

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