|
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 |
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num_workers: 10 |
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pin_memory: false |
|
loss: bce |
|
vad_loss: bce |
|
model: |
|
_target_: pyannote.audio.models.segmentation.PyanNet |
|
sincnet: |
|
stride: 10 |
|
lstm: |
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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 |
|
|