{
  "run_info": {
    "project": "llm-finetune-demo",
    "run_name": "finetune-2026-04-14",
    "date": "2026-04-14",
    "total_steps": 40,
    "status": "completed"
  },
  "metrics_summary": {
    "loss": {
      "initial": 1.9833,
      "final": 0.1811,
      "min": 0.1811,
      "reduction": "90.9%",
      "trend": "Strong downward convergence"
    },
    "accuracy": {
      "initial": 0.4930,
      "final": 0.8611,
      "max": 0.8624,
      "improvement": "+74.8%",
      "trend": "Steady upward improvement"
    }
  },
  "key_milestones": {
    "step_10": {
      "loss": 1.1649,
      "accuracy": 0.6498
    },
    "step_20": {
      "loss": 0.6470,
      "accuracy": 0.7676
    },
    "step_30": {
      "loss": 0.3337,
      "accuracy": 0.8265
    },
    "step_40": {
      "loss": 0.1811,
      "accuracy": 0.8611
    }
  },
  "demo_talking_points": [
    "Loss decreased from 1.98 to 0.18 (91% reduction)",
    "Accuracy improved from 49% to 86% (75% gain)",
    "Smooth convergence with no instability",
    "Model reached 80% accuracy by step 25"
  ]
}