mt5-base Reranker finetuned on MS MARCO
Introduction
mT5-base-en-msmarco-v1 is a mT5-based model finetuned on English MS MARCO passage dataset. Further information about the dataset or the translation method can be found on our paper mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset and mMARCO repository.
Usage
from transformers import T5Tokenizer, MT5ForConditionalGeneration
model_name = 'unicamp-dl/mt5-base-en-msmarco'
tokenizer = T5Tokenizer.from_pretrained(model_name)
model = MT5ForConditionalGeneration.from_pretrained(model_name)
Citation
If you use mT5-base-en-msmarco, please cite:
@misc{bonifacio2021mmarco,
title={mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset},
author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and and Roberto Lotufo and Rodrigo Nogueira},
year={2021},
eprint={2108.13897},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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