feat: initial import

README.md

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+---
+tags:
+- pyannote
+license: mit
+inference: false
+---
+
+## Dummy model used for continuous integration purposes
+
+```bash
+$ pyannote-audio-train protocol=Debug.SpeakerDiarization.Debug task=VoiceActivityDetection task.duration=2. model=DebugSegmentation trainer.max_epochs=10
+```

config.yaml

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+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

hparams.yaml

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+num_channels: 1
+sample_rate: 16000

pytorch_model.bin

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+size 375501

tfevents.bin

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