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--- |
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language: pt |
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license: mit |
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tags: |
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- msmarco |
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- t5 |
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- pytorch |
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- tensorflow |
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- pt |
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- pt-br |
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datasets: |
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- msmarco |
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widget: |
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- text: "Texto de exemplo em português" |
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inference: false |
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--- |
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# mt5-base Reranker finetuned on mMARCO |
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## Introduction |
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mT5-base-en-pt-msmarco-v2 is a mT5-based model fine-tuned on a bilingual version of MS MARCO passage dataset. This bilingual dataset version is formed by the original MS MARCO dataset (in English) and a Portuguese translated version. In the v2 version, the Portuguese dataset was translated using Google Translate. |
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Further information about the dataset or the translation method can be found on our paper [**mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897) and [mMARCO](https://github.com/unicamp-dl/mMARCO) repository. |
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## Usage |
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```python |
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from transformers import T5Tokenizer, MT5ForConditionalGeneration |
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model_name = 'unicamp-dl/mt5-base-en-pt-msmarco-v2' |
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tokenizer = T5Tokenizer.from_pretrained(model_name) |
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model = MT5ForConditionalGeneration.from_pretrained(model_name) |
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``` |
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# Citation |
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If you use mt5-base-en-pt-msmarco-v2, please cite: |
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@misc{bonifacio2021mmarco, |
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title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset}, |
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author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and and Roberto Lotufo and Rodrigo Nogueira}, |
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year={2021}, |
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eprint={2108.13897}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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