castorini/monot5-large-msmarco-10k

Model

This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).

2

9 commits

2 linked in READMEs

updated Nov 24, 2021

See the code

README

This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).

This model usually has a better zero-shot performance than monot5-large-msmarco, i.e., it performs better on datasets different from MS MARCO.

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

endpoints_compatible
pytorch
t5
text2text-generation
text-generation-inference
transformers

castorini/monot5-large-msmarco-10k

Model

This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).

2

9 commits

2 linked in READMEs

updated Nov 24, 2021

See the code

README

This model is a T5-large reranker fine-tuned on the MS MARCO passage dataset for 10k steps (or 1 epoch).

This model usually has a better zero-shot performance than monot5-large-msmarco, i.e., it performs better on datasets different from MS MARCO.

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

endpoints_compatible
pytorch
t5
text2text-generation
text-generation-inference
transformers