README.md · mbarthez

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---

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tags:

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- summarization

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language:

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- fr

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license: apache-2.0

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pipeline_tag: "fill-mask"

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---

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A french sequence to sequence pretrained model based on [BART](https://huggingface.co/facebook/bart-large). <br>

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BARThez is pretrained by learning to reconstruct a corrupted input sentence. A corpus of 66GB of french raw text is used to carry out the pretraining. <br>

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Unlike already existing BERT-based French language models such as CamemBERT and FlauBERT, BARThez is particularly well-suited for generative tasks (such as abstractive summarization), since not only its encoder but also its decoder is pretrained.

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In addition to BARThez that is pretrained from scratch, we continue the pretraining of a multilingual BART [mBART](https://huggingface.co/facebook/mbart-large-cc25) which boosted its performance in both discriminative and generative tasks. We call the french adapted version [mBARThez](https://huggingface.co/moussaKam/mbarthez).

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| ------------- |:-------------:| :-----:|:-----:|

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| [BARThez](https://huggingface.co/moussaKam/barthez) | BASE | 12 | 165M |

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| [mBARThez](https://huggingface.co/moussaKam/mbarthez) | LARGE | 24 | 458M |

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paper: https://arxiv.org/abs/2010.12321 \

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github: https://github.com/moussaKam/BARThez

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```

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@article{eddine2020barthez,

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title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model},

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author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis},

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journal={arXiv preprint arXiv:2010.12321},

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year={2020}

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}

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```

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