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  # PTT5-base Reranker finetuned on Portuguese MS MARCO
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  ## Introduction
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  ptt5-base-msmarco-pt-100k is a T5-based model pretrained in the BrWac corpus, finetuned on Portuguese translated version of MS MARCO passage dataset. This model was finetuned for 100k steps.
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- Further information about the dataset or the translation method can be found on our [Cross-Lingual repository](https://github.com/unicamp-dl/cross-lingual-analysis).
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  ## Usage
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  ```python
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  # Citation
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  If you use ptt5-base-msmarco-pt-100k, please cite:
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- @article{rosa2021cost,
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- title={A cost-benefit analysis of cross-lingual transfer methods},
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- author={Rosa, Guilherme Moraes and Bonifacio, Luiz Henrique and de Souza, Leandro Rodrigues and Lotufo, Roberto and Nogueira, Rodrigo},
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- journal={arXiv preprint arXiv:2105.06813},
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- year={2021}
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- }
 
 
 
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  # PTT5-base Reranker finetuned on Portuguese MS MARCO
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  ## Introduction
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  ptt5-base-msmarco-pt-100k is a T5-based model pretrained in the BrWac corpus, finetuned on Portuguese translated version of MS MARCO passage dataset. This model was finetuned for 100k steps.
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+ Further information about the dataset or the translation method can be found on our [**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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  # Citation
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  If you use ptt5-base-msmarco-pt-100k, 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 Israel Campiotti 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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+ }