Add BERT Embedding Models #11737
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Add BERT Embedding Models #11737
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JRD971000
reviewed
Jan 3, 2025
| self.scale = scale | ||
| self.cross_entropy_loss = nn.CrossEntropyLoss(label_smoothing=label_smoothing) | ||
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| def forward( |
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I thin the current implementation only has in-batch negative for every rank, right? There is a an option to use all the global in-batch negative in nemo1, could you please add it:
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thanks! I'll take a look
JRD971000
requested changes
Jan 3, 2025
| ) | ||
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| def _create_dataloader(self, dataset, mode, **kwargs) -> DataLoader: | ||
| # pylint: disable=C0115,C0116 |
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all pylint comments are not required, right?
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func starts with underscore indeed not required #pylint, removed those
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
…aot/bert-embedding-models
Signed-off-by: suiyoubi <[email protected]>
Signed-off-by: suiyoubi <[email protected]>
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[🤖]: Hi @suiyoubi 👋, We wanted to let you know that a CICD pipeline for this PR just finished successfully So it might be time to merge this PR or get some approvals I'm just a bot so I'll leave it you what to do next. //cc @pablo-garay @ko3n1g |
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