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Apollo
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exp: 
  dir: ./Exps
  name: Apollo

# seed: 614020

datas:
  _target_: look2hear.datas.MusdbMoisesdbDataModule
  train_dir: ./hdf5_datas
  eval_dir: ./eval
  codec_type: mp3
  codec_options:
    bitrate: random
    compression: random
    complexity: random
    vbr: random
  sr: 44100
  segments: 3
  num_stems: 8
  snr_range: [-10, 10]
  num_samples: 40000
  batch_size: 1
  num_workers: 8

model:
 
  sr: 44100
  win: 20 # ms
  feature_dim: 256
  layer: 6

discriminator:
  _target_: look2hear.discriminators.frequencydis.MultiFrequencyDiscriminator
  nch: 2
  window: [32, 64, 128, 256, 512, 1024, 2048]

optimizer_g:
  _target_: torch.optim.AdamW
  lr: 0.001
  weight_decay: 0.01

optimizer_d:
  _target_: torch.optim.AdamW
  lr: 0.0001
  weight_decay: 0.01
  betas: [0.5, 0.99]

scheduler_g:
  _target_: torch.optim.lr_scheduler.StepLR
  step_size: 2
  gamma: 0.98

scheduler_d:
  _target_: torch.optim.lr_scheduler.StepLR
  step_size: 2
  gamma: 0.98

loss_g:
  _target_: look2hear.losses.gan_losses.MultiFrequencyGenLoss
  eps: 1e-8

loss_d:
  _target_: look2hear.losses.gan_losses.MultiFrequencyDisLoss
  eps: 1e-8

metrics:
  _target_: look2hear.losses.MultiSrcNegSDR
  sdr_type: sisdr

system:
  _target_: look2hear.system.audio_litmodule.AudioLightningModule

early_stopping:
  _target_: pytorch_lightning.callbacks.EarlyStopping
  monitor: val_loss
  patience: 20
  mode: min
  verbose: true

checkpoint:
  _target_: pytorch_lightning.callbacks.ModelCheckpoint
  dirpath: ${exp.dir}/${exp.name}/checkpoints
  monitor: val_loss
  mode: min
  verbose: true
  save_top_k: 5
  save_last: true
  filename: '{epoch}-{val_loss:.4f}'

logger:
  _target_: pytorch_lightning.loggers.WandbLogger
  name: ${exp.name}
  save_dir: ${exp.dir}/${exp.name}/logs
  offline: false
  project: Audio-Restoration

trainer:
  _target_: pytorch_lightning.Trainer
  devices: [0,1,2,3,4,5,6,7]
  max_epochs: 500
  sync_batchnorm: true
  default_root_dir: ${exp.dir}/${exp.name}/
  accelerator: cuda
  limit_train_batches: 1.0
  fast_dev_run: false