Training completed!
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README.md
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This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5455
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- F1: 0.7320
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- Roc Auc: 0.7940
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- Accuracy: 0.4783
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| 0.4898 | 1.0 | 277 | 0.4345 | 0.4886 | 0.6537 | 0.3213 |
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| 0.3807 | 2.0 | 554 | 0.3681 | 0.6681 | 0.7551 | 0.4296 |
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| 0.265 | 3.0 | 831 | 0.3890 | 0.6765 | 0.7615 | 0.4693 |
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| 0.1741 | 4.0 | 1108 | 0.4131 | 0.7120 | 0.7878 | 0.4404 |
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| 0.0835 | 5.0 | 1385 | 0.4718 | 0.7303 | 0.7978 | 0.4765 |
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| 0.0798 | 6.0 | 1662 | 0.5455 | 0.7320 | 0.7940 | 0.4783 |
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| 0.0533 | 7.0 | 1939 | 0.6251 | 0.6976 | 0.7679 | 0.4386 |
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| 0.032 | 8.0 | 2216 | 0.6953 | 0.7158 | 0.7885 | 0.4549 |
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| 0.0179 | 9.0 | 2493 | 0.7133 | 0.7313 | 0.7984 | 0.4513 |
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### Framework versions
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model.safetensors
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size 1445339812
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