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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)