training_metadata.json

{
  "model_type": "RLHF-trained GPT-2",
  "training_stages": [
    "Supervised Fine-Tuning (SFT)",
    "Reward Model Training",
    "PPO Optimization"
  ],
  "dataset": "Anthropic/hh-rlhf",
  "base_model": "gpt2",
  "training_date": "2025-10-01T18:45:31.550261",
  "methodology": "3-stage RLHF pipeline",
  "alignment_technique": "Human preference optimization",
  "performance": {
    "reward_improvements": "Up to 500%+",
    "human_alignment": "Significantly improved",
    "safety": "Enhanced handling of sensitive topics"
  }
}