training_metadata.json

{
  "model_name": "GPT-2 RLHF",
  "model_type": "RLHF-trained GPT-2",
  "training_pipeline": [
    "Stage 1: Supervised Fine-Tuning (SFT)",
    "Stage 2: Reward Model Training",
    "Stage 3: PPO Optimization"
  ],
  "dataset": "Anthropic/hh-rlhf",
  "base_model": "gpt2",
  "parameters": "124M",
  "training_date": "2025-09-29T20:36:42.118760",
  "methodology": "3-stage RLHF pipeline (same as ChatGPT)",
  "hyperparameters": {
    "sft_lr": "5e-5",
    "sft_epochs": 3,
    "reward_lr": "1e-5",
    "reward_epochs": 3,
    "ppo_lr": "1e-5",
    "ppo_episodes": 10,
    "kl_coef": 0.1,
    "clip_range": 0.2
  }
}