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# HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models |
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This model is a Guard Model, specifically designed to classify the safety of LLM conversations. |
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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**](https://huggingface.co/datasets/AnonHB/HarmAug_generated_dataset). |
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For more information, please refer to our [anonymous github](https://anonymous.4open.science/r/HarmAug/) |
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