VERSION: '1.0'
contact: {contact_email: david.guzman@mail.mcgill.ca, contact_name: David Guzman}
model:
  activation_function: everyvoice.utils.original_hifigan_leaky_relu
  istft_layer: false
  mpd_layers: [2, 3, 5, 7, 11]
  msd_layers: 3
  resblock: '1'
  resblock_dilation_sizes:
  - [1, 3, 5]
  - [1, 3, 5]
  - [1, 3, 5]
  resblock_kernel_sizes: [3, 7, 11]
  upsample_initial_channel: 512
  upsample_kernel_sizes: [16, 16, 4, 4]
  upsample_rates: [8, 8, 2, 2]
path_to_model_config_file: null
path_to_preprocessing_config_file: everyvoice-shared-data.yaml
path_to_training_config_file: null
training:
  batch_size: 16
  check_val_every_n_epoch: null
  ckpt_epochs: 1
  ckpt_steps: null
  filelist_loader: everyvoice.utils.generic_dict_loader
  finetune: false
  finetune_checkpoint: null
  gan_type: original
  generator_warmup_steps: 0
  logger: {name: VocoderExperiment, save_dir: ../logs_and_checkpoints, sub_dir_callable: everyvoice.utils.get_current_time,
    version: base}
  max_epochs: 1000
  max_steps: 100000
  optimizer:
    betas: [0.9, 0.98]
    eps: 1.0e-08
    learning_rate: 0.0001
    name: adamw
    weight_decay: 0.01
  save_top_k_ckpts: 5
  train_data_workers: 4
  training_filelist: ../preprocessed/training_filelist.psv
  use_weighted_sampler: false
  val_check_interval: 500
  val_data_workers: 0
  validation_filelist: ../preprocessed/validation_filelist.psv
  wgan_clip_value: 0.01