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---
task_name: AudioSep
data:
datafiles:
- 'datafiles/template.json'
sampling_rate: 32000
segment_seconds: 5
loudness_norm:
lower_db: -10
higher_db: 10
max_mix_num: 2
model:
query_net: CLAP
condition_size: 512
model_type: ResUNet30
input_channels: 1
output_channels: 1
resume_checkpoint: ""
use_text_ratio: 1.0
train:
optimizer:
optimizer_type: AdamW
learning_rate: 1e-3
warm_up_steps: 10000
reduce_lr_steps: 1000000
lr_lambda_type: constant_warm_up
num_nodes: 1
num_workers: 6
loss_type: l1_wav
sync_batchnorm: True
batch_size_per_device: 12
steps_per_epoch: 10000 # Every 10000 steps is called an `epoch`.
evaluate_step_frequency: 10000 # Evaluate every #evaluate_step_frequency steps.
save_step_frequency: 20000 # Save every #save_step_frequency steps.
early_stop_steps: 10000001
random_seed: 1234
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