Upload config.yml
Browse files- config.yml +201 -0
config.yml
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| 1 |
+
allow_cache: false
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| 2 |
+
batch_frames: 3600
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| 3 |
+
config: conf/ctxv2w.v1.yaml
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| 4 |
+
crop_max_frames: 100
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| 5 |
+
discriminator_adv_loss_params:
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| 6 |
+
average_by_discriminators: false
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| 7 |
+
discriminator_grad_norm: -1
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| 8 |
+
discriminator_optimizer_params:
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| 9 |
+
betas:
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| 10 |
+
- 0.5
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| 11 |
+
- 0.9
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| 12 |
+
lr: 0.0002
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| 13 |
+
weight_decay: 0.0
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| 14 |
+
discriminator_optimizer_type: Adam
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| 15 |
+
discriminator_params:
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| 16 |
+
follow_official_norm: true
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| 17 |
+
period_discriminator_params:
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| 18 |
+
bias: true
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| 19 |
+
channels: 32
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| 20 |
+
downsample_scales:
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| 21 |
+
- 3
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| 22 |
+
- 3
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| 23 |
+
- 3
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| 24 |
+
- 3
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| 25 |
+
- 1
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| 26 |
+
in_channels: 1
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| 27 |
+
kernel_sizes:
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| 28 |
+
- 5
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| 29 |
+
- 3
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| 30 |
+
max_downsample_channels: 1024
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| 31 |
+
nonlinear_activation: LeakyReLU
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| 32 |
+
nonlinear_activation_params:
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| 33 |
+
negative_slope: 0.1
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| 34 |
+
out_channels: 1
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| 35 |
+
use_spectral_norm: false
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| 36 |
+
use_weight_norm: true
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| 37 |
+
periods:
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| 38 |
+
- 2
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| 39 |
+
- 3
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| 40 |
+
- 5
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| 41 |
+
- 7
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| 42 |
+
- 11
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| 43 |
+
scale_discriminator_params:
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| 44 |
+
bias: true
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| 45 |
+
channels: 128
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| 46 |
+
downsample_scales:
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| 47 |
+
- 4
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| 48 |
+
- 4
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| 49 |
+
- 4
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| 50 |
+
- 4
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| 51 |
+
- 1
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| 52 |
+
in_channels: 1
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| 53 |
+
kernel_sizes:
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| 54 |
+
- 15
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| 55 |
+
- 41
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| 56 |
+
- 5
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| 57 |
+
- 3
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| 58 |
+
max_downsample_channels: 1024
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| 59 |
+
max_groups: 16
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| 60 |
+
nonlinear_activation: LeakyReLU
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| 61 |
+
nonlinear_activation_params:
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| 62 |
+
negative_slope: 0.1
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| 63 |
+
out_channels: 1
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| 64 |
+
scale_downsample_pooling: AvgPool1d
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| 65 |
+
scale_downsample_pooling_params:
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| 66 |
+
kernel_size: 4
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| 67 |
+
padding: 2
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| 68 |
+
stride: 2
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| 69 |
+
scales: 3
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| 70 |
+
discriminator_scheduler_params:
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| 71 |
+
gamma: 0.5
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| 72 |
+
milestones:
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| 73 |
+
- 200000
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| 74 |
+
- 400000
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| 75 |
+
- 600000
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| 76 |
+
- 800000
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| 77 |
+
discriminator_scheduler_type: MultiStepLR
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| 78 |
+
discriminator_train_start_steps: 0
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| 79 |
+
discriminator_type: HiFiGANMultiScaleMultiPeriodDiscriminator
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| 80 |
+
distributed: true
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| 81 |
+
dropout_features: 0.0
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| 82 |
+
eval_interval_steps: 100000
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| 83 |
+
feat_match_loss_params:
|
| 84 |
+
average_by_discriminators: false
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| 85 |
+
average_by_layers: false
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| 86 |
+
include_final_outputs: false
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| 87 |
+
frontend_mel_prediction_stop_steps: 200000
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| 88 |
+
frontend_params:
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| 89 |
+
conformer_params:
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| 90 |
+
activation_type: swish
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| 91 |
+
attention_dim: 184
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| 92 |
+
attention_dropout_rate: 0.2
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| 93 |
+
attention_heads: 2
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| 94 |
+
cnn_module_kernel: 31
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| 95 |
+
concat_after: false
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| 96 |
+
dropout_rate: 0.2
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| 97 |
+
linear_units: 1536
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| 98 |
+
macaron_style: true
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| 99 |
+
normalize_before: true
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| 100 |
+
num_blocks: 2
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| 101 |
+
pos_enc_layer_type: rel_pos
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| 102 |
+
positional_dropout_rate: 0.2
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| 103 |
+
positionwise_conv_kernel_size: 3
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| 104 |
+
positionwise_layer_type: conv1d
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| 105 |
+
selfattention_layer_type: rel_selfattn
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| 106 |
+
use_cnn_module: true
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| 107 |
+
prompt_channels: 1024
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| 108 |
+
vqvec_channels: 512
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| 109 |
+
generator_adv_loss_params:
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| 110 |
+
average_by_discriminators: false
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| 111 |
+
generator_grad_norm: -1
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| 112 |
+
generator_optimizer_params:
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| 113 |
+
betas:
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| 114 |
+
- 0.5
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| 115 |
+
- 0.9
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| 116 |
+
lr: 0.0002
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| 117 |
+
weight_decay: 0.0
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| 118 |
+
generator_optimizer_type: Adam
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| 119 |
+
generator_params:
|
| 120 |
+
bias: true
|
| 121 |
+
channels: 512
|
| 122 |
+
condition_dim: 1024
|
| 123 |
+
in_channels: 184
|
| 124 |
+
kernel_size: 7
|
| 125 |
+
nonlinear_activation: snakebeta-condition
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| 126 |
+
out_channels: 1
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| 127 |
+
resblock: '1'
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| 128 |
+
resblock_dilations:
|
| 129 |
+
- - 1
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| 130 |
+
- 3
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| 131 |
+
- 5
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| 132 |
+
- - 1
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| 133 |
+
- 3
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| 134 |
+
- 5
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| 135 |
+
- - 1
|
| 136 |
+
- 3
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| 137 |
+
- 5
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| 138 |
+
resblock_kernel_sizes:
|
| 139 |
+
- 3
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| 140 |
+
- 7
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| 141 |
+
- 11
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| 142 |
+
snake_logscale: true
|
| 143 |
+
upsample_kernel_sizes:
|
| 144 |
+
- 16
|
| 145 |
+
- 10
|
| 146 |
+
- 6
|
| 147 |
+
- 4
|
| 148 |
+
upsample_scales:
|
| 149 |
+
- 8
|
| 150 |
+
- 5
|
| 151 |
+
- 3
|
| 152 |
+
- 2
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| 153 |
+
use_additional_convs: true
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| 154 |
+
use_weight_norm: true
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| 155 |
+
generator_scheduler_params:
|
| 156 |
+
gamma: 0.5
|
| 157 |
+
milestones:
|
| 158 |
+
- 200000
|
| 159 |
+
- 400000
|
| 160 |
+
- 600000
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| 161 |
+
- 800000
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| 162 |
+
generator_scheduler_type: MultiStepLR
|
| 163 |
+
generator_train_start_steps: 1
|
| 164 |
+
generator_type: BigVGAN
|
| 165 |
+
hop_size: 240
|
| 166 |
+
lambda_adv: 1.0
|
| 167 |
+
lambda_aux: 45.0
|
| 168 |
+
lambda_feat_match: 2.0
|
| 169 |
+
lambda_frontend_mel_prediction: 60
|
| 170 |
+
log_interval_steps: 1000
|
| 171 |
+
max_num_frames: 3000
|
| 172 |
+
mel_loss_params:
|
| 173 |
+
fft_size: 2048
|
| 174 |
+
fmax: 8000
|
| 175 |
+
fmin: 40
|
| 176 |
+
fs: 24000
|
| 177 |
+
hop_size: 300
|
| 178 |
+
log_base: null
|
| 179 |
+
num_mels: 80
|
| 180 |
+
win_length: 1200
|
| 181 |
+
window: hann
|
| 182 |
+
min_num_frames: 600
|
| 183 |
+
num_mels: 80
|
| 184 |
+
num_save_intermediate_results: 4
|
| 185 |
+
num_workers: 8
|
| 186 |
+
outdir: exp/train_all_ctxv2w.v1
|
| 187 |
+
pin_memory: true
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| 188 |
+
pretrain: ''
|
| 189 |
+
prompt_fold_by_2: true
|
| 190 |
+
prompt_net_type: ConvPromptPrenet
|
| 191 |
+
rank: 0
|
| 192 |
+
sampling_rate: 24000
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| 193 |
+
save_interval_steps: 10000
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| 194 |
+
use_feat_match_loss: true
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| 195 |
+
use_mel_loss: true
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| 196 |
+
use_stft_loss: false
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| 197 |
+
verbose: 1
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| 198 |
+
version: 0.5.3
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| 199 |
+
vq_codebook: feats/vqidx/codebook.npy
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| 200 |
+
win_length: 697
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| 201 |
+
world_size: 4
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