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README.md

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+---
+tags:
+- deberta-v3
+- deberta
+- deberta-v2
+license: mit
+base_model:
+- microsoft/deberta-v3-large
+pipeline_tag: text-classification
+---
+
+# HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
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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.  
+It is fine-tuned from DeBERTa-v3-large and trained using **HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models**.  
+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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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66f7bee63c7ffa79319b053b/bCNW62CvDpqbXUK4eZ4-b.png)
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66f7bee63c7ffa79319b053b/REbNDOhT31bv_XRa6-VzE.png)