|
--- |
|
tags: |
|
- summarization |
|
- bart |
|
|
|
language: |
|
- fr |
|
|
|
widget: |
|
- text: Barthez est le meilleur <mask> du monde. |
|
|
|
license: apache-2.0 |
|
|
|
pipeline_tag: "fill-mask" |
|
--- |
|
A french sequence to sequence pretrained model based on [BART](https://huggingface.co/facebook/bart-large). <br> |
|
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> |
|
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. |
|
|
|
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). |
|
|
|
| Model | Architecture | #layers | #params | |
|
| ------------- |:-------------:| :-----:|:-----:| |
|
| [BARThez](https://huggingface.co/moussaKam/barthez) | BASE | 12 | 165M | |
|
| [mBARThez](https://huggingface.co/moussaKam/mbarthez) | LARGE | 24 | 458M | |
|
|
|
<br> |
|
|
|
paper: https://arxiv.org/abs/2010.12321 \ |
|
github: https://github.com/moussaKam/BARThez |
|
|
|
``` |
|
@article{eddine2020barthez, |
|
title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model}, |
|
author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis}, |
|
journal={arXiv preprint arXiv:2010.12321}, |
|
year={2020} |
|
} |
|
``` |
|
|
