File size: 1,457 Bytes
32e47d2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
protocol: Debug.SpeakerDiarization.Debug
patience: 5
task:
_target_: pyannote.audio.tasks.VoiceActivityDetection
duration: 2.0
batch_size: 32
num_workers: null
pin_memory: false
model:
_target_: pyannote.audio.models.segmentation.debug.SimpleSegmentationModel
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: null
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: 10
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
|