End of training
Browse files- README.md +19 -6
- model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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- F1: 0.
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- Roc Auc: 0.
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## Model description
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### Training results
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0636
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- Precision: 0.9798
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- Recall: 0.9764
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- Accuracy: 0.9818
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- F1: 0.9781
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- Roc Auc: 0.9983
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 | Roc Auc |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|:-------:|
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| 0.1199 | 0.3436 | 200 | 0.0955 | 0.9604 | 0.9551 | 0.9650 | 0.9576 | 0.9958 |
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| 0.0656 | 0.6873 | 400 | 0.0722 | 0.9754 | 0.9699 | 0.9774 | 0.9725 | 0.9972 |
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| 0.0418 | 1.0309 | 600 | 0.0797 | 0.9758 | 0.9740 | 0.9793 | 0.9749 | 0.9969 |
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| 0.0744 | 1.3746 | 800 | 0.0636 | 0.9798 | 0.9764 | 0.9818 | 0.9781 | 0.9983 |
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| 0.0044 | 1.7182 | 1000 | 0.0659 | 0.9793 | 0.9756 | 0.9814 | 0.9774 | 0.9983 |
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| 0.0412 | 2.0619 | 1200 | 0.0690 | 0.9782 | 0.9779 | 0.9818 | 0.9780 | 0.9983 |
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| 0.0029 | 2.4055 | 1400 | 0.0744 | 0.9808 | 0.9780 | 0.9830 | 0.9794 | 0.9984 |
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| 0.0245 | 2.7491 | 1600 | 0.0872 | 0.9813 | 0.9755 | 0.9821 | 0.9782 | 0.9981 |
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| 0.0006 | 3.0928 | 1800 | 0.0753 | 0.9811 | 0.9794 | 0.9837 | 0.9803 | 0.9985 |
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| 0.0049 | 3.4364 | 2000 | 0.0844 | 0.9799 | 0.9773 | 0.9823 | 0.9785 | 0.9984 |
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| 0.0011 | 3.7801 | 2200 | 0.0827 | 0.9806 | 0.9778 | 0.9828 | 0.9792 | 0.9984 |
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### Framework versions
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model.safetensors
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training_args.bin
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