Music_Source_Separation / scripts /4_train /musdb18 /configs /vocals-accompaniment,unet_subbandtime.yaml
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---
task_name: musdb18
train:
input_source_types:
- vocals
- accompaniment
target_source_types:
- vocals
indexes_dict: "indexes/musdb18/sr=44100_chn=2/train/full_train/vocals-accompaniment.pkl"
sample_rate: 44100
channels: 2
segment_seconds: 3.0
model_type: UNetSubbandTime
loss_type: l1_wav
mini_data: False
augmentations:
mixaudio:
vocals: 2
accompaniment: 2
pitch_shift:
vocals: 0
accompaniment: 0
magnitude_scale:
vocals:
lower_db: 0
higher_db: 0
accompaniment:
lower_db: 0
higher_db: 0
batch_data_preprocessor: BasicBatchDataPreprocessor
evaluation_callback: Musdb18EvaluationCallback
learning_rate: 1e-3
batch_size: 16
precision: 32
steps_per_epoch: 10000 # Every 10000 steps is called an `epoch`.
evaluate_step_frequency: 10000 # Evaluate every #evaluate_step_frequency steps.
save_step_frequency: 50000 # Save every #save_step_frequency steps.
early_stop_steps: 500001
warm_up_steps: 1000
reduce_lr_steps: 15000
random_seed: 1234
resume_checkpoint: ""
evaluate:
segment_seconds: 30.0
batch_size: 1