Model save
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README.md
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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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| 0.0561 | 9.0 | 981 | 0.1982 | 0.7479 | 0.8578 | 0.73 |
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| 0.0432 | 10.0 | 1090 | 0.1725 | 0.7579 | 0.8643 | 0.74 |
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| 0.0418 | 11.0 | 1199 | 0.1910 | 0.7533 | 0.8689 | 0.72 |
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| 0.0327 | 12.0 | 1308 | 0.1860 | 0.7535 | 0.8671 | 0.74 |
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### Framework versions
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1517
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- F1: 0.7867
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- Roc Auc: 0.8813
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- Accuracy: 0.75
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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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| 0.4175 | 1.0 | 109 | 0.3690 | 0.0 | 0.5 | 0.31 |
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| 0.3344 | 2.0 | 218 | 0.2807 | 0.1111 | 0.5445 | 0.37 |
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| 0.21 | 3.0 | 327 | 0.2053 | 0.6797 | 0.8067 | 0.68 |
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| 0.163 | 4.0 | 436 | 0.1533 | 0.7972 | 0.8712 | 0.77 |
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| 0.1295 | 5.0 | 545 | 0.1884 | 0.7004 | 0.8255 | 0.69 |
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| 0.1125 | 6.0 | 654 | 0.1590 | 0.7621 | 0.8558 | 0.75 |
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| 0.0841 | 7.0 | 763 | 0.1770 | 0.7533 | 0.8653 | 0.73 |
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| 0.0678 | 8.0 | 872 | 0.1517 | 0.7867 | 0.8813 | 0.75 |
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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 1112217312
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