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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0009
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- - Accuracy: 1.0
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  ## Model description
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@@ -44,15 +44,6 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - training_steps: 400
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1022 | 20.0 | 100 | 0.0008 | 1.0 |
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- | 0.006 | 40.0 | 200 | 0.0007 | 1.0 |
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- | 0.0223 | 60.0 | 300 | 0.0020 | 1.0 |
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- | 0.0058 | 80.0 | 400 | 0.0009 | 1.0 |
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-
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  ### Framework versions
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  This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0009
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+ - Accuracy: 0.9
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  ## Model description
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  - lr_scheduler_type: linear
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  - training_steps: 400
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  ### Framework versions
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