metadata
library_name: peft
license: apache-2.0
datasets:
- venkycs/llm4security
language:
- en
metrics:
- accuracy
tags:
- security
- infosec
- cybersec
- hack
Training procedure
This repository contains security-specific domain data collected using Stanford Alpaca. We want to express our gratitude to the Stanford Alpaca team for their valuable contributions. This dataset enhances our understanding of security-related language and supports the development of safer AI applications.
Acknowledgments - Special thanks to Stanford Alpaca for providing the tools and resources to gather security domain data.
For more information about Stanford Alpaca, visit their website.
Framework versions
- PEFT 0.4.0 (Thanks to HuggingFace team)
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 42.99 |
| ARC (25-shot) | 49.83 |
| HellaSwag (10-shot) | 77.33 |
| MMLU (5-shot) | 44.41 |
| TruthfulQA (0-shot) | 47.96 |
| Winogrande (5-shot) | 71.74 |
| GSM8K (5-shot) | 3.87 |
| DROP (3-shot) | 5.81 |