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@@ -12,12 +12,17 @@ metrics:
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  model-index:
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  - name: td2
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # td2
 
 
 
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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:
@@ -27,19 +32,6 @@ It achieves the following results on the evaluation set:
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  - F1: 0.0
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  - Accuracy: 0.9983
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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  ### Training hyperparameters
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  - Transformers 4.50.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.4.1
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- - Tokenizers 0.21.1
 
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  model-index:
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  - name: td2
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  results: []
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+ language:
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+ - fr
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # td2
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+ TD2 - ESGI
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+ Ahmed Ennaifer & Sarra Chabane Chaouche
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+ The model got an accuracy of 0.998 on the eval dataset : `test_fr`
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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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  - F1: 0.0
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  - Accuracy: 0.9983
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  ### Training hyperparameters
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  - Transformers 4.50.0
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  - Pytorch 2.6.0+cu124
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  - Datasets 3.4.1
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+ - Tokenizers 0.21.1