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model_name: "frcrn"
sample_rate: 8000
segment_size: 32000
nfft: 128
win_size: 128
hop_size: 64
win_type: hann
use_complex_networks: true
model_depth: 10
model_complexity: -1
min_snr_db: -10
max_snr_db: 20
num_workers: 8
batch_size: 32
eval_steps: 20000
lr: 0.001
lr_scheduler: "CosineAnnealingLR"
lr_scheduler_kwargs:
T_max: 250000
eta_min: 0.0001
max_epochs: 100
weight_decay: 1.0e-05
clip_grad_norm: 10.0
seed: 1234
num_gpus: -1
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