{
  ASR_config: modules/models/asr/config.yml,
  ASR_path: modules/models/asr/epoch_00080.pth,
  F0_path: modules/models/f0/bst.t7,
  PLBERT_dir: modules/models/plbert/,
  batch_size: 8,
  data_params:
    {
      OOD_data: Data/OOD_texts.txt,
      min_length: 50,
      root_path: "",
      train_data: Data/train_list.txt,
      val_data: Data/val_list.txt,
    },
  device: cuda,
  epochs_1st: 40,
  epochs_2nd: 25,
  first_stage_path: first_stage.pth,
  load_only_params: false,
  log_dir: Models/LibriTTS,
  log_interval: 10,
  loss_params:
    {
      TMA_epoch: 4,
      diff_epoch: 0,
      joint_epoch: 0,
      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,
    },
  max_len: 300,
  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: [10, 5, 3, 2],
        },
      diffusion:
        {
          dist:
            {
              estimate_sigma_data: true,
              mean: -3.0,
              sigma_data: 0.19926648961191362,
              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: true,
      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,
    },
  optimizer_params: { bert_lr: 1.0e-05, ft_lr: 1.0e-05, lr: 0.0001 },
  preprocess_params:
    {
      spect_params: { hop_length: 300, n_fft: 2048, win_length: 1200 },
      sr: 24000,
    },
  pretrained_model: Models/LibriTTS/epoch_2nd_00002.pth,
  save_freq: 1,
  second_stage_load_pretrained: true,
  slmadv_params:
    {
      batch_percentage: 0.5,
      iter: 20,
      max_len: 500,
      min_len: 400,
      scale: 0.01,
      sig: 1.5,
      thresh: 5,
    },
}