Delete config.yaml

config.yaml

@@ -1,61 +0,0 @@
-task:
-  _target_: pyannote.audio.tasks.SpeakerDiarization
-  duration: 5.0
-  max_speakers_per_chunk: 3
-  max_speakers_per_frame: 2
-  batch_size: 32
-  num_workers: 10
-  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
-scheduler:
-  _target_: pyannote.audio.cli.lr_schedulers.CosineAnnealingWarmRestarts
-  min_lr: 1.0e-08
-  max_lr: 0.001
-  patience: 1
-trainer:
-  _target_: pytorch_lightning.Trainer
-  accelerator: auto
-  accumulate_grad_batches: 1
-  benchmark: null
-  deterministic: false
-  check_val_every_n_epoch: 1
-  devices: auto
-  detect_anomaly: false
-  enable_checkpointing: true
-  enable_model_summary: true
-  enable_progress_bar: true
-  fast_dev_run: false
-  gradient_clip_val: null
-  gradient_clip_algorithm: norm
-  limit_predict_batches: 1.0
-  limit_test_batches: 1.0
-  limit_train_batches: 1.0
-  limit_val_batches: 1.0
-  log_every_n_steps: 50
-  max_epochs: 1
-  max_steps: -1
-  max_time: null
-  min_epochs: 1
-  min_steps: null
-  num_nodes: 1
-  num_sanity_val_steps: 2
-  overfit_batches: 0.0
-  precision: 32
-  profiler: null
-  reload_dataloaders_every_n_epochs: 0
-  use_distributed_sampler: true
-  strategy: auto
-  sync_batchnorm: false
-  val_check_interval: 1.0
-protocol: AMI.SpeakerDiarization.only_words
-registry: REDACTED/pyannote-audio/tutorials/AMI-diarization-setup/pyannote/database.yml