cgoosen/Prompt-Guard-finetuned-ctf-86M
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README.md
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-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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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1377
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- Accuracy: 0.9376
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2424 | 1.0 | 293 | 0.1377 | 0.9376 |
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| 0.1436 | 2.0 | 586 | 0.1565 | 0.9487 |
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| 0.108 | 3.0 | 879 | 0.2244 | 0.9462 |
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| 0.0806 | 4.0 | 1172 | 0.2356 | 0.9462 |
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| 0.0548 | 5.0 | 1465 | 0.2658 | 0.9470 |
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| 0.0473 | 6.0 | 1758 | 0.2437 | 0.9521 |
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| 0.0339 | 7.0 | 2051 | 0.2838 | 0.9470 |
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| 0.0199 | 8.0 | 2344 | 0.2974 | 0.9530 |
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| 0.0193 | 9.0 | 2637 | 0.3392 | 0.9487 |
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| 0.0176 | 10.0 | 2930 | 0.3296 | 0.9513 |
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### Framework versions
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model.safetensors
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training_args.bin
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