castorini/monot5-base-msmarco-10k

Model

14

stars

9

commits

9

repos using this model

2

linked in READMEs

Oct 17, 2021

updated

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

README

This model is a T5-base 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-base-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

Contributors

RO
ronakice

1 commits

system

1 commits

castorini/monot5-base-msmarco-10k

Model

14

stars

9

commits

9

repos using this model

2

linked in READMEs

Oct 17, 2021

updated

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

README

This model is a T5-base 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-base-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

Contributors

RO
ronakice

1 commits

system

1 commits