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}

}