Codesota · Models · monoT50 results · 0 benchmarks
Model card

monoT5.

Cross-Encoder RerankingRerankingApache 2.0

Text-to-text reranker on MS MARCO.

§ 01 · Card

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Source
castorini/monot5-base-msmarco

This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).

For better zero-shot performance (i.e., inference on other datasets), we recommend using castorini/monot5-base-msmarco-10k.

For more details on how to use it, check the following links:

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

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§ 02 · Benchmarks

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