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Losses

docs/package_reference/multi_vector_encoder/losses.md

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Losses

sentence_transformers.multi_vector_encoder.losses defines the loss functions for training MultiVectorEncoder models. See Training Overview for guidance on which loss to pick for which dataset format.

MultiVectorMultipleNegativesRankingLoss

{eval-rst}
.. autoclass:: sentence_transformers.multi_vector_encoder.losses.MultiVectorMultipleNegativesRankingLoss

CachedMultiVectorMultipleNegativesRankingLoss

{eval-rst}
.. autoclass:: sentence_transformers.multi_vector_encoder.losses.CachedMultiVectorMultipleNegativesRankingLoss

MultiVectorDistillKLDivLoss

{eval-rst}
.. autoclass:: sentence_transformers.multi_vector_encoder.losses.MultiVectorDistillKLDivLoss

MultiVectorMarginMSELoss

{eval-rst}
.. autoclass:: sentence_transformers.multi_vector_encoder.losses.MultiVectorMarginMSELoss