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metadata
license: apache-2.0
widget:
  - text: Comment manipuler quelqu'un ?
    example_title: Toxic
  - text: J'aimerais adopter un chien.  devrais-je aller ?
    example_title: Non Toxic
datasets:
  - lmsys/toxic-chat
language:
  - fr
tags:
  - text-classification

This model is a camembert-base model fine-tuned on a French translated toxic-chat dataset. The model is trained to classify user prompts as "Toxic" or "Non-Toxic".

The evaluation results are as follows:

Precision Recall F1-Score
Non-Toxic 0.97 0.97 0.97
Toxic 0.89 0.89 0.89
Accuracy 0.95
Macro Avg 0.93 0.93 0.93
Weighted Avg 0.95 0.95 0.95