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cgoosen/Prompt-Guard-finetuned-ctf-86M

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0782
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- - Accuracy: 0.9737
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.1141 | 1.0 | 857 | 0.0782 | 0.9737 |
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- | 0.0654 | 2.0 | 1714 | 0.0977 | 0.9775 |
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- | 0.0439 | 3.0 | 2571 | 0.0974 | 0.9790 |
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- | 0.0314 | 4.0 | 3428 | 0.1269 | 0.9743 |
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- | 0.0254 | 5.0 | 4285 | 0.1053 | 0.9770 |
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- | 0.0154 | 6.0 | 5142 | 0.1084 | 0.9775 |
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- | 0.0122 | 7.0 | 5999 | 0.1245 | 0.9781 |
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- | 0.0087 | 8.0 | 6856 | 0.1469 | 0.9775 |
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- | 0.0053 | 9.0 | 7713 | 0.1521 | 0.9775 |
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- | 0.0028 | 10.0 | 8570 | 0.1556 | 0.9793 |
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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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