roberta - Uma visão geral
roberta - Uma visão geral
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results highlight the importance of previously overlooked design choices, and raise questions about the source
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It happens due to the fact that reaching the document boundary and stopping there means that an input sequence will contain less than 512 tokens. For having a similar number of tokens across all batches, the batch size in such cases needs to be augmented. This leads to variable batch size and more complex comparisons which researchers wanted to avoid.
Retrieves sequence ids from a token list that has no special tokens added. This method is called when adding
The authors experimented with removing/adding of NSP loss to different versions and concluded that removing the NSP loss matches or slightly improves downstream task performance
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As researchers found, it is slightly better to use dynamic masking meaning that masking is generated uniquely every time a sequence is passed to BERT. Overall, this results in less duplicated data during the training giving an opportunity for a model to work with more various data and masking patterns.
This is useful if you want more control over how to convert input_ids indices into associated vectors
sequence instead of per-token classification). It is the first token of the sequence when built with
Attentions weights after the attention softmax, used to compute the weighted average in the self-attention
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De modo a descobrir o significado do valor numfoirico do nome Roberta de acordo com a numerologia, basta seguir ESTES seguintes passos:
If you Ver mais choose this second option, there are three possibilities you can use to gather all the input Tensors
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