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README.md
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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:
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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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### Training results
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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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### 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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