model_name: "mpnet"

num_gpus: 0
batch_size: 3
learning_rate: 0.0005
adam_b1: 0.8
adam_b2: 0.99
lr_decay: 0.99
seed: 1234

dense_channel: 64
compress_factor: 0.3
num_tsconformers: 4
beta: 2.0

sample_rate: 8000
segment_size: 16000
n_fft: 512
hop_size: 80
win_size: 200

num_workers: 4

dist_config:
  dist_backend: nccl
  dist_url: tcp://localhost:54321
  world_size: 1

discriminator_dim: 32
discriminator_in_channel: 2