Preparing the Pretraining Input Environment
Learn to prepare the pretraining input environment when dealing with BERT models.
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The BERT model has no decoder stack of layers. Therefore, it does not have a masked multi-head attention sublayer. BERT designers state that a masked multi-head attention layer that masks the rest of the sequence impedes the attention process.
A masked multi-head attention layer masks all of the tokens that are beyond the present position.
For example, take the following sentence:
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