{
  "model_version": "smoke-v6",
  "data_version": "synthetic_v2",
  "focus": "sample-level hard weighting with confused-priority sampling",
  "train_command": "/usr/local/miniconda3/bin/python train.py --data data/synthetic_v2 --output data/models_v6 --device cpu --epochs 2 --batch-size 6",
  "index_command": "/usr/local/miniconda3/bin/python run_demo.py build-index --data data/synthetic_v2 --model data/models_v6/best_model.pt --output data/index_v6 --device cpu",
  "eval_command": "/usr/local/miniconda3/bin/python evaluate.py --data data/synthetic_v2 --model data/models_v6/best_model.pt --index-prefix data/index_v6/reference --split test --device cpu --fast-eval --output-json reports/smoke-v6/synthetic_v2/eval.json",
  "notes": [
    "confused improved from 0.00 to 0.25 top1 vs smoke-v5",
    "humming_like regressed from 0.50 to 0.25 top1 vs smoke-v5",
    "overall top1 improved from 0.60 to 0.65"
  ]
}