{
  "name": "bigvgan_optimized_dataset",
  "description": "BigVGAN fine-tuning on optimized dataset (134 clips, 44.1kHz, LUFS-normalized). Standard mode (no LoRA) — trains decoder to faithfully reconstruct target domain audio from mel spectrograms. Uses optimal config from prior sweeps.",
  "data_dir": "/media/unraid/davinci/Selva/BJ/features_v2_improved/",
  "output_root": "/media/unraid/davinci/Selva/BJ/experiment/bigvgan_optimized_dataset",
  "base": {
    "train_mode": "snake_alpha_only",
    "steps": 5000,
    "lr": 1e-4,
    "batch_size": 8,
    "segment_seconds": 0.5,
    "lambda_l2sp": 1e-3,
    "use_gafilter": true,
    "gafilter_kernel_size": 9,
    "lambda_phase": 1.0,
    "save_every": 1000,
    "seed": 42
  },
  "experiments": [
    {
      "id": "standard_5k",
      "description": "Standard mode: mel from clean FLAC → BigVGAN → reconstruct FLAC. No LoRA. Directly improves VAE roundtrip quality."
    },
    {
      "id": "disc_fm_5k",
      "description": "Standard mode + discriminator feature matching. Tests if perceptual loss helps on clean audio reconstruction.",
      "discriminator_path": "/media/unraid/davinci/Selva/BJ/experiment/bigvgan_discriminator_optimizer.pt"
    },
    {
      "id": "standard_10k",
      "description": "Extended 10k steps. More data passes on 134 clips may extract more from the optimized dataset.",
      "steps": 10000
    }
  ]
}