---
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

[arXiv Link](https://arxiv.org/abs/2410.01524)

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**].


For more information, please refer to our [github](https://github.com/imnotkind/HarmAug)



![image/png](https://cdn-uploads.huggingface.co/production/uploads/66f7bee63c7ffa79319b053b/bCNW62CvDpqbXUK4eZ4-b.png)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/66f7bee63c7ffa79319b053b/REbNDOhT31bv_XRa6-VzE.png)