protocol: Debug.SpeakerDiarization.Debug
patience: 5
task:
  _target_: pyannote.audio.tasks.VoiceActivityDetection
  duration: 2.0
  batch_size: 32
  num_workers: null
  pin_memory: false
model:
  _target_: pyannote.audio.models.segmentation.debug.SimpleSegmentationModel
optimizer:
  _target_: torch.optim.Adam
  lr: 0.001
  betas:
  - 0.9
  - 0.999
  eps: 1.0e-08
  weight_decay: 0
  amsgrad: false
trainer:
  _target_: pytorch_lightning.Trainer
  accelerator: null
  accumulate_grad_batches: 1
  amp_backend: native
  amp_level: O2
  auto_lr_find: false
  auto_scale_batch_size: false
  auto_select_gpus: true
  benchmark: false
  check_val_every_n_epoch: 1
  checkpoint_callback: true
  deterministic: false
  fast_dev_run: false
  flush_logs_every_n_steps: 100
  gpus: null
  gradient_clip_val: 0
  limit_test_batches: 1.0
  limit_train_batches: 1.0
  limit_val_batches: 1.0
  log_every_n_steps: 50
  log_gpu_memory: null
  max_epochs: 10
  max_steps: null
  min_epochs: 1
  min_steps: null
  num_nodes: 1
  num_processes: 1
  num_sanity_val_steps: 2
  overfit_batches: 0.0
  precision: 32
  prepare_data_per_node: true
  process_position: 0
  profiler: null
  progress_bar_refresh_rate: 1
  reload_dataloaders_every_epoch: false
  replace_sampler_ddp: true
  sync_batchnorm: false
  terminate_on_nan: false
  tpu_cores: null
  track_grad_norm: -1
  truncated_bptt_steps: null
  val_check_interval: 1.0
  weights_save_path: null
  weights_summary: top