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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| 0.0253 | 9.0 | 1251 | 0.6092 | 0.7405 | 0.7970 | 0.4783 |
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| 0.0086 | 10.0 | 1390 | 0.6052 | 0.7508 | 0.8048 | 0.4946 |
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| 0.0102 | 11.0 | 1529 | 0.6632 | 0.7381 | 0.7978 | 0.4639 |
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| 0.0048 | 12.0 | 1668 | 0.6512 | 0.7483 | 0.8060 | 0.4874 |
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| 0.0032 | 13.0 | 1807 | 0.6595 | 0.7399 | 0.7965 | 0.4819 |
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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: 0.3954
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- F1: 0.7622
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- Roc Auc: 0.8208
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- Accuracy: 0.4657
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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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| 0.5664 | 1.0 | 139 | 0.5827 | 0.4593 | 0.6262 | 0.1516 |
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| 0.5686 | 2.0 | 278 | 0.5801 | 0.4593 | 0.6262 | 0.1516 |
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| 0.478 | 3.0 | 417 | 0.4532 | 0.6704 | 0.7544 | 0.3249 |
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| 0.3799 | 4.0 | 556 | 0.3867 | 0.7262 | 0.7929 | 0.4079 |
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| 0.2727 | 5.0 | 695 | 0.3954 | 0.7622 | 0.8208 | 0.4657 |
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| 0.1747 | 6.0 | 834 | 0.3805 | 0.7403 | 0.8009 | 0.4603 |
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| 0.11 | 7.0 | 973 | 0.4434 | 0.7565 | 0.8164 | 0.4386 |
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| 0.0705 | 8.0 | 1112 | 0.4957 | 0.7619 | 0.8196 | 0.4549 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1445339812
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version https://git-lfs.github.com/spec/v1
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size 1445339812
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