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README.md
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This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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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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| No log | 1.0 |
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| 1.
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### Framework versions
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This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0163
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- Accuracy: 0.6225
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 6
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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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| No log | 1.0 | 345 | 1.0352 | 0.5435 |
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| 1.2697 | 2.0 | 690 | 1.0254 | 0.5696 |
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| 1.0075 | 3.0 | 1035 | 1.0079 | 0.5891 |
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| 1.0075 | 4.0 | 1380 | 0.9745 | 0.6101 |
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| 0.8314 | 5.0 | 1725 | 0.9866 | 0.6188 |
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| 0.738 | 6.0 | 2070 | 1.0163 | 0.6225 |
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### Framework versions
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