metadata
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
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
