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menutp/profanity-fr-65ac
profanity-fr-65ac is a text classification model from menutp. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as wtfpl.
this model was trained on 95% of my dataset menutp/hatespeech-frmini and validated on the last 5% it reached 65% accuracy. labels are to be interpreted as follow :
Downloads · 30 days
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From the Hugging Face model README
this model was trained on 95% of my dataset menutp/hate_speech-fr_mini and validated on the last 5% it reached 65% accuracy. labels are to be interpreted as follow :
{
0: "neutral",
1: "toxic",
2: "severe toxic",
3: "obscene",
4: "threat",
5: "insult",
6: "identity hate",
7: "generally_offensive"
}
due to the lack of training data for the label between 1 and 6 only label 0 and 7 are to be trusted