| protocol: VoxCeleb.SpeakerVerification.VoxCeleb_X |
| patience: 5 |
| task: |
| _target_: pyannote.audio.tasks.SupervisedRepresentationLearningWithArcFace |
| min_duration: 2 |
| duration: 5.0 |
| num_classes_per_batch: 64 |
| num_chunks_per_class: 4 |
| margin: 10.0 |
| scale: 50.0 |
| num_workers: 20 |
| pin_memory: false |
| model: |
| _target_: pyannote.audio.models.embedding.XVectorSincNet |
| 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: 1 |
| 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: 1000 |
| 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 |
| augmentation: |
| transform: Compose |
| params: |
| shuffle: false |
| transforms: |
| - transform: AddBackgroundNoise |
| params: |
| background_paths: /gpfswork/rech/eie/commun/data/background/musan |
| min_snr_in_db: 5.0 |
| max_snr_in_db: 15.0 |
| mode: per_example |
| p: 0.9 |
| - transform: ApplyImpulseResponse |
| params: |
| ir_paths: /gpfswork/rech/eie/commun/data/rir |
| mode: per_example |
| p: 0.5 |
|
|
