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Runtime error
task_name: voicebank-demand | |
train: | |
input_source_types: | |
- speech | |
- noise | |
target_source_types: | |
- speech | |
indexes_dict: "indexes/voicebank-demand/sr=44100_chn=1/train/speech-noise.pkl" | |
sample_rate: 44100 | |
channels: 1 | |
segment_seconds: 3.0 | |
model_type: UNet | |
loss_type: l1_wav | |
optimizer_type: Adam | |
mini_data: False | |
augmentations: | |
mixaudio: | |
speech: 1 | |
noise: 1 | |
pitch_shift: | |
speech: 0 | |
noise: 0 | |
magnitude_scale: | |
speech: | |
lower_db: 0 | |
higher_db: 0 | |
noise: | |
lower_db: 0 | |
higher_db: 0 | |
swap_channel: | |
speech: False | |
noise: False | |
flip_axis: | |
speech: False | |
noise: False | |
batch_data_preprocessor: BasicBatchDataPreprocessor | |
evaluation_callback: Default | |
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 |