| 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 | |