fine-tuning-with-trl
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- NO_CODE (SAFE): The provided files consist entirely of Markdown documentation and educational code examples for the Hugging Face TRL (Transformer Reinforcement Learning) library. No executable scripts, configuration files, or skill definitions were included in the provided set.
- EXTERNAL_DOWNLOADS (SAFE): The documentation references legitimate, well-known resources from Hugging Face (huggingface.co), GitHub (github.com), and ArXiv (arxiv.org). These are trusted platforms for machine learning research and development.
- DATA_EXPOSURE (SAFE): The examples use standard public datasets (e.g., 'trl-lib/Capybara', 'trl-lib/tldr') and public model checkpoints (e.g., 'Qwen/Qwen2.5-0.5B'). No hardcoded credentials, sensitive file paths, or private data access patterns were identified.
- COMMAND_EXECUTION (SAFE): The shell commands (
python -m trl.scripts.ppo,accelerate launch) are standard training invocations for the documented library. They do not involve arbitrary command execution or privilege escalation. - PROMPT_INJECTION (SAFE): No instructions attempting to override agent behavior or bypass safety filters were found within the text.
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