config.json

{
  "model_params": {
    "decoder": {
      "resblock_dilation_sizes": [
        [
          1,
          3,
          5
        ],
        [
          1,
          3,
          5
        ],
        [
          1,
          3,
          5
        ]
      ],
      "resblock_kernel_sizes": [
        3,
        7,
        11
      ],
      "type": "hifigan",
      "upsample_initial_channel": 512,
      "upsample_kernel_sizes": [
        20,
        10,
        6,
        4
      ],
      "upsample_rates": [
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        5,
        3,
        2
      ]
    },
    "diffusion": {
      "dist": {
        "estimate_sigma_data": true,
        "mean": -3.0,
        "sigma_data": 0.2,
        "std": 1.0
      },
      "embedding_mask_proba": 0.1,
      "transformer": {
        "head_features": 64,
        "multiplier": 2,
        "num_heads": 8,
        "num_layers": 3
      }
    },
    "dim_in": 64,
    "dropout": 0.2,
    "hidden_dim": 512,
    "max_conv_dim": 512,
    "max_dur": 50,
    "multispeaker": false,
    "n_layer": 3,
    "n_mels": 80,
    "n_token": 178,
    "slm": {
      "hidden": 768,
      "initial_channel": 64,
      "model": "microsoft/wavlm-base-plus",
      "nlayers": 13,
      "sr": 16000
    },
    "style_dim": 128
  },
  "training_config": {
    "epochs": 4,
    "batch_size": 2,
    "max_len": 120,
    "optimizer": {
      "bert_lr": 1e-05,
      "ft_lr": 0.0001,
      "lr": 0.0001
    },
    "loss_params": {
      "diff_epoch": 1,
      "joint_epoch": 110,
      "lambda_F0": 1.0,
      "lambda_ce": 20.0,
      "lambda_diff": 1.0,
      "lambda_dur": 1.0,
      "lambda_gen": 1.0,
      "lambda_mel": 5.0,
      "lambda_mono": 1.0,
      "lambda_norm": 1.0,
      "lambda_s2s": 1.0,
      "lambda_slm": 1.0,
      "lambda_sty": 1.0
    }
  },
  "preprocess_params": {
    "spect_params": {
      "hop_length": 300,
      "n_fft": 2048,
      "win_length": 1200
    },
    "sr": 24000
  },
  "data_params": {
    "OOD_data": "Data/OOD_texts.txt",
    "min_length": 50,
    "root_path": "Data/wavs",
    "train_data": "Data/train_list.txt",
    "val_data": "Data/val_list.txt"
  },
  "model_state": {
    "epoch": 3,
    "iterations": 310,
    "val_loss": 0.41642701625823975
  },
  "training_metrics": {
    "train_loss": [],
    "val_loss": [
      18.0,
      38.0,
      58.0,
      15.0
    ],
    "dur_loss": [
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      0.444,
      0.428,
      0.416
    ],
    "F0_loss": [
      1.186,
      1.157,
      1.089,
      1.198
    ],
    "epochs": [
      1,
      2,
      3,
      4
    ]
  }
}