DyePop/setfit_camembert_20250808_140130_rtx4070_optimized

setfitcamembert20250808140130rtx4070_optimized

This is a SetFit model fine-tuned for French news classification as part of the AFK.live project.

Model Details

• —Base Model: CamemBERT (camembert-base)
• —Task: Multi-class text classification for news articles
• —Language: French
• —Framework: SetFit

Training Details

• —Training Date: 2025-08-08
• —Accuracy: 0.8700

Categories

The model classifies news articles into the following categories:

1. 1.Politique nationale française ou belge
2. 2.Politique internationale
3. 3.Économie, Fiscalité et Mouvements sociaux
4. 4.Technologie
5. 5.Société, Média, Education, Histoire, Justice -
6. 6.Science et Santé
7. 7.Culture, Cuisine, Voyages
8. 8.Sport
9. 9.Environnement
10. 10.Faits divers, nécrologie
11. 11.Outlier
12. 12.Actualité locale
13. 13.Pub

Usage

from setfit import SetFitModel

# Load the model
model = SetFitModel.from_pretrained("DyePop/{model_name}")

# Make predictions
predictions = model.predict([
    "Le président a annoncé de nouvelles mesures économiques",
    "L'équipe de France remporte la victoire"
])

Limitations

• —Trained specifically on French news articles (France, Walloon Belgium)
• —Performance may vary on informal or social media text
• —Categories are based on traditional news taxonomy

Citation

If you use this model, please cite the AFK.live project.