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README.md
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# td2
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TD2 - ESGI
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Ahmed Ennaifer & Sarra Chabane Chaouche
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This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0128
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9983
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### Training hyperparameters
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# td2
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TD2 - ESGI
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+
# Ahmed Ennaifer & Sarra Chabane Chaouche
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+
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This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
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+
It achieves the following results on the evaluation set of train/test:
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- Loss: 0.0128
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9983
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# The model got an accuracy of `0.998` on the seperate eval dataset : `test_fr`
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### Training hyperparameters
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