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tags: |
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- deberta-v3 |
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- deberta |
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- deberta-v2 |
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license: mit |
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base_model: |
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- microsoft/deberta-v3-large |
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pipeline_tag: text-classification |
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--- |
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# HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models |
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[Arxiv Link](https://arxiv.org/abs/2410.01524) |
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Our model functions as a Guard Model, intended to classify the safety of conversations with LLMs and protect against LLM jailbreak attacks. |
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It is fine-tuned from DeBERTa-v3-large and trained using **HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models**. |
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The training process involves knowledge distillation paired with data augmentation, using our [**HarmAug Generated Dataset**]. |
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For more information, please refer to our [github](https://github.com/imnotkind/HarmAug) |
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