Camembert Base Fquad

🚀 camembert-base-fquad

A native French Question Answering model fine - tuned on FQuAD, leveraging the CamemBERT - base architecture.

🚀 Quick Start

This is a French Question Answering model. It is the CamemBERT-base model fine - tuned on the FQuAD dataset.

✨ Features

• It is a native French Question Answering model.
• Fine - tuned on the FQuAD dataset for better performance in French question - answering tasks.

📚 Documentation

Evaluation results

On the development set:

{"f1": 88.1, "exact_match": 78.1}

On the test set:

{"f1": 88.3, "exact_match": 78.0}

💻 Usage Examples

Basic Usage

from transformers import pipeline

nlp = pipeline('question-answering', model='illuin/camembert-base-fquad', tokenizer='illuin/camembert-base-fquad')

nlp({
    'question': "Qui est Claude Monet?",
    'context': "Claude Monet, né le 14 novembre 1840 à Paris et mort le 5 décembre 1926 à Giverny, est un peintre français et l’un des fondateurs de l'impressionnisme."
})

📄 License

This project is licensed under the GPL - 3.0 license.

📚 Citation

If you use our work, please cite:

@article{dHoffschmidt2020FQuADFQ,
  title={FQuAD: French Question Answering Dataset},
  author={Martin d'Hoffschmidt and Maxime Vidal and Wacim Belblidia and Tom Brendl'e and Quentin Heinrich},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.06071}
}