End of training
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- model.safetensors +1 -1
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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 | Roc Auc |
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| 0.1255 | 0.3436 | 200 | 0.0861 | 0.9693 | 0.9606 | 0.9711 | 0.9646 | 0.9965 |
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| 0.0694 | 0.6873 | 400 | 0.0761 | 0.9735 | 0.9657 | 0.9748 | 0.9692 | 0.9973 |
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| 0.0347 | 1.0309 | 600 | 0.0843 | 0.9727 | 0.9730 | 0.9774 | 0.9728 | 0.9964 |
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| 0.0632 | 1.3746 | 800 | 0.0855 | 0.9691 | 0.9716 | 0.9753 | 0.9703 | 0.9972 |
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| 0.0132 | 1.7182 | 1000 | 0.0731 | 0.9763 | 0.9751 | 0.9797 | 0.9757 | 0.9976 |
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| 0.0222 | 2.0619 | 1200 | 0.0671 | 0.9792 | 0.9785 | 0.9825 | 0.9789 | 0.9981 |
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| 0.0024 | 2.4055 | 1400 | 0.0739 | 0.9813 | 0.9786 | 0.9834 | 0.9799 | 0.9978 |
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| 0.0030 | 2.7491 | 1600 | 0.0793 | 0.9828 | 0.9780 | 0.9837 | 0.9803 | 0.9978 |
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| 0.0021 | 3.0928 | 1800 | 0.0751 | 0.9823 | 0.9797 | 0.9844 | 0.9810 | 0.9980 |
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| 0.0008 | 3.4364 | 2000 | 0.0821 | 0.9832 | 0.9789 | 0.9844 | 0.9810 | 0.9978 |
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| 0.0016 | 3.7801 | 2200 | 0.0789 | 0.9828 | 0.9793 | 0.9844 | 0.9810 | 0.9979 |
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### Framework versions
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.
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- Tokenizers 0.22.2
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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: 0.2206
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- Precision: 0.9156
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- Recall: 0.8947
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- Accuracy: 0.9062
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- F1: 0.8908
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- Roc Auc: 0.9976
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## Model description
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### Training results
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### Framework versions
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.7.0
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- Tokenizers 0.22.2
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model.safetensors
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size 121893600
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