Chrome extension

castorini/monot5-base-med-msmarco

Model

This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.

1

11 commits

1 linked in READMEs

updated Jun 23, 2021

README

This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.

For more details on how to use it, check pygaggle.ai

Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model

endpoints_compatible

feature-extraction

pytorch

t5

transformers

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castorini/monot5-base-med-msmarco

Model

This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.

1

11 commits

1 linked in READMEs

updated Jun 23, 2021

README

This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch) and then fine-tuned again on MedMARCO (from Sledge-Z paper for 1k steps.

For more details on how to use it, check pygaggle.ai

Paper describing the model: Document Ranking with a Pretrained Sequence-to-Sequence Model

endpoints_compatible

feature-extraction

pytorch

t5

transformers

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castorini/monot5-3b-msmarco

This model is a T5-3B reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10…

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castorini/monot5-base-msmarco

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castorini/monot5-large-msmarco

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