examples/frcrn/yaml/config-10.yaml

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