{
  "name": "ti_sweep_1",
  "description": "First TI sweep: token count, learning rate, and warm init. All generator weights frozen throughout. Baseline = n_tokens=4, lr=1e-3, random init. Primary goal: find a working (n_tokens, lr) pair before optimising further.",
  "data_dir": "/media/unraid/davinci/Selva/BJ/features",
  "output_root": "/media/unraid/davinci/Selva/BJ/experiment/ti_sweep_1",
  "base": {
    "steps": 3000,
    "batch_size": 16,
    "warmup_steps": 100,
    "save_every": 1000,
    "seed": 42,
    "init_text": "",
    "lr": 1e-3,
    "n_tokens": 4
  },
  "experiments": [

    {
      "id": "n4_baseline",
      "group": "token_count",
      "description": "4 tokens, lr=1e-3, random init. Primary reference point — all other experiments are measured against this."
    },
    {
      "id": "n8",
      "group": "token_count",
      "description": "8 tokens, lr=1e-3, random init. Double the capacity — does it capture more style or just overfit faster?",
      "n_tokens": 8
    },
    {
      "id": "n16",
      "group": "token_count",
      "description": "16 tokens, lr=1e-3, random init. Maximum expressiveness — worth the extra convergence difficulty?",
      "n_tokens": 16
    },

    {
      "id": "lr_5e4",
      "group": "learning_rate",
      "description": "n_tokens=4, lr=5e-4. Half the default LR — smoother convergence, possibly better generalisation.",
      "lr": 5e-4
    },
    {
      "id": "lr_2e3",
      "group": "learning_rate",
      "description": "n_tokens=4, lr=2e-3. Double the default LR — faster early convergence, risk of oscillation.",
      "lr": 2e-3
    },

    {
      "id": "n4_warm",
      "group": "warm_init",
      "description": "4 tokens warm-started from 'mechanical impact sound design'. CLIP embedding initialises tokens in a semantically relevant region of the space — may converge faster and to a better style representation.",
      "init_text": "mechanical impact sound design"
    },
    {
      "id": "n8_warm",
      "group": "warm_init",
      "description": "8 tokens warm-started from 'mechanical impact sound design'. Combines the warm-init advantage with more expressive capacity.",
      "n_tokens": 8,
      "init_text": "mechanical impact sound design"
    }

  ]
}