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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 | |