Update README.md

README.md

@@ -1,3 +1,18 @@
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+language: fr        # <-- my language
+widget:
+ - text: "J'aime ta coiffure"
+ - text: "Va te faire foutre"
+ - text: "Quel mauvais temps, n'est-ce pas ?"
+ - text: "J'espère que tu vas mourir, connard !"
+ - text: "j'aime beaucoup ta veste"   
+
 license: other
 ---
+This model was trained for toxicity labeling. Label_1 means TOXIC, Label_0 means NOT_TOXIC
+
+The model was fine-tuned based off the CamemBERT language model https://huggingface.co/camembert-base .
+
+The accuracy is 93% on the test split during training and 79% on a manually picked (and thus harder) sample of 200 sentences (100 label 1, 100 label 0) at the end of the training.
+
+The model was finetuned on 32k sentences. The train data was the translations of the english data (around 30k sentences) from https://github.com/s-nlp/multilingual_detox with https://huggingface.co/Helsinki-NLP/opus-mt-en-fr and the data from the jigsaw dataset on kaggle https://www.kaggle.com/competitions/jigsaw-multilingual-toxic-comment-classification/data .