model: _target_: mayavoz.models.demucs.Demucs num_channels: 1 resample: 4 sampling_rate: 16000 encoder_decoder: depth: 4 initial_output_channels: 64 kernel_size: 8 stride: 4 growth_factor: 2 glu: true lstm: bidirectional: true num_layers: 2 dataset: _target_: mayavoz.data.dataset.MayaDataset name: vctk root_dir: /scratch/c.sistc3/DS_10283_2791 duration: 4.5 stride: 0.5 sampling_rate: 16000 batch_size: 32 valid_minutes: 25 files: train_clean: clean_trainset_28spk_wav test_clean: clean_testset_wav train_noisy: noisy_trainset_28spk_wav test_noisy: noisy_testset_wav optimizer: _target_: torch.optim.Adam lr: 0.001 betas: - 0.9 - 0.999 eps: 1.0e-08 weight_decay: 0 amsgrad: false hyperparameters: loss: mae metric: - stoi - pesq - si-sdr lr: 0.0003 ReduceLr_patience: 10 Early_stop: false ReduceLr_factor: 0.1 min_lr: 1.0e-07 EarlyStopping_patience: 10 trainer: _target_: pytorch_lightning.Trainer accelerator: gpu accumulate_grad_batches: 1 amp_backend: native auto_lr_find: false auto_scale_batch_size: false auto_select_gpus: true benchmark: false check_val_every_n_epoch: 1 detect_anomaly: false deterministic: false devices: 1 enable_checkpointing: true enable_model_summary: true enable_progress_bar: true fast_dev_run: false gpus: null gradient_clip_val: 0 gradient_clip_algorithm: norm ipus: null 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: 200 max_steps: -1 max_time: null min_epochs: 1 min_steps: null move_metrics_to_cpu: false multiple_trainloader_mode: max_size_cycle num_nodes: 1 num_processes: 1 num_sanity_val_steps: 2 overfit_batches: 0.0 precision: 32 profiler: null reload_dataloaders_every_n_epochs: 0 replace_sampler_ddp: true strategy: null sync_batchnorm: false tpu_cores: null track_grad_norm: -1 val_check_interval: 1.0 weights_save_path: null mlflow: experiment_name: shahules/mayavoz run_name: Demucs-DNS(ablation_study-noaug)