protocol: X.SpeakerDiarization.Custom | |
patience: 20 | |
task: | |
_target_: pyannote.audio.tasks.Segmentation | |
duration: 5.0 | |
warm_up: 0.0 | |
balance: null | |
overlap: | |
probability: 0.5 | |
snr_min: 0.0 | |
snr_max: 10.0 | |
weight: null | |
batch_size: 32 | |
num_workers: 10 | |
pin_memory: false | |
loss: bce | |
vad_loss: bce | |
model: | |
_target_: pyannote.audio.models.segmentation.PyanNet | |
sincnet: | |
stride: 10 | |
lstm: | |
num_layers: 4 | |
monolithic: true | |
dropout: 0.5 | |
linear: | |
num_layers: 2 | |
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: ddp | |
accumulate_grad_batches: 1 | |
amp_backend: native | |
amp_level: O2 | |
auto_lr_find: false | |
auto_scale_batch_size: false | |
auto_select_gpus: true | |
benchmark: true | |
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: 0.5 | |
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 | |