| allow_cache: false | |
| batch_frames: 3600 | |
| config: conf/ctxv2w.v1.yaml | |
| crop_max_frames: 100 | |
| discriminator_adv_loss_params: | |
| average_by_discriminators: false | |
| discriminator_grad_norm: -1 | |
| discriminator_optimizer_params: | |
| betas: | |
| - 0.5 | |
| - 0.9 | |
| lr: 0.0002 | |
| weight_decay: 0.0 | |
| discriminator_optimizer_type: Adam | |
| discriminator_params: | |
| follow_official_norm: true | |
| period_discriminator_params: | |
| bias: true | |
| channels: 32 | |
| downsample_scales: | |
| - 3 | |
| - 3 | |
| - 3 | |
| - 3 | |
| - 1 | |
| in_channels: 1 | |
| kernel_sizes: | |
| - 5 | |
| - 3 | |
| max_downsample_channels: 1024 | |
| nonlinear_activation: LeakyReLU | |
| nonlinear_activation_params: | |
| negative_slope: 0.1 | |
| out_channels: 1 | |
| use_spectral_norm: false | |
| use_weight_norm: true | |
| periods: | |
| - 2 | |
| - 3 | |
| - 5 | |
| - 7 | |
| - 11 | |
| scale_discriminator_params: | |
| bias: true | |
| channels: 128 | |
| downsample_scales: | |
| - 4 | |
| - 4 | |
| - 4 | |
| - 4 | |
| - 1 | |
| in_channels: 1 | |
| kernel_sizes: | |
| - 15 | |
| - 41 | |
| - 5 | |
| - 3 | |
| max_downsample_channels: 1024 | |
| max_groups: 16 | |
| nonlinear_activation: LeakyReLU | |
| nonlinear_activation_params: | |
| negative_slope: 0.1 | |
| out_channels: 1 | |
| scale_downsample_pooling: AvgPool1d | |
| scale_downsample_pooling_params: | |
| kernel_size: 4 | |
| padding: 2 | |
| stride: 2 | |
| scales: 3 | |
| discriminator_scheduler_params: | |
| gamma: 0.5 | |
| milestones: | |
| - 200000 | |
| - 400000 | |
| - 600000 | |
| - 800000 | |
| discriminator_scheduler_type: MultiStepLR | |
| discriminator_train_start_steps: 0 | |
| discriminator_type: HiFiGANMultiScaleMultiPeriodDiscriminator | |
| distributed: true | |
| dropout_features: 0.0 | |
| eval_interval_steps: 100000 | |
| feat_match_loss_params: | |
| average_by_discriminators: false | |
| average_by_layers: false | |
| include_final_outputs: false | |
| frontend_mel_prediction_stop_steps: 200000 | |
| frontend_params: | |
| conformer_params: | |
| activation_type: swish | |
| attention_dim: 184 | |
| attention_dropout_rate: 0.2 | |
| attention_heads: 2 | |
| cnn_module_kernel: 31 | |
| concat_after: false | |
| dropout_rate: 0.2 | |
| linear_units: 1536 | |
| macaron_style: true | |
| normalize_before: true | |
| num_blocks: 2 | |
| pos_enc_layer_type: rel_pos | |
| positional_dropout_rate: 0.2 | |
| positionwise_conv_kernel_size: 3 | |
| positionwise_layer_type: conv1d | |
| selfattention_layer_type: rel_selfattn | |
| use_cnn_module: true | |
| prompt_channels: 1024 | |
| vqvec_channels: 512 | |
| generator_adv_loss_params: | |
| average_by_discriminators: false | |
| generator_grad_norm: -1 | |
| generator_optimizer_params: | |
| betas: | |
| - 0.5 | |
| - 0.9 | |
| lr: 0.0002 | |
| weight_decay: 0.0 | |
| generator_optimizer_type: Adam | |
| generator_params: | |
| bias: true | |
| channels: 512 | |
| condition_dim: 1024 | |
| in_channels: 184 | |
| kernel_size: 7 | |
| nonlinear_activation: snakebeta-condition | |
| out_channels: 1 | |
| resblock: '1' | |
| resblock_dilations: | |
| - - 1 | |
| - 3 | |
| - 5 | |
| - - 1 | |
| - 3 | |
| - 5 | |
| - - 1 | |
| - 3 | |
| - 5 | |
| resblock_kernel_sizes: | |
| - 3 | |
| - 7 | |
| - 11 | |
| snake_logscale: true | |
| upsample_kernel_sizes: | |
| - 16 | |
| - 10 | |
| - 6 | |
| - 4 | |
| upsample_scales: | |
| - 8 | |
| - 5 | |
| - 3 | |
| - 2 | |
| use_additional_convs: true | |
| use_weight_norm: true | |
| generator_scheduler_params: | |
| gamma: 0.5 | |
| milestones: | |
| - 200000 | |
| - 400000 | |
| - 600000 | |
| - 800000 | |
| generator_scheduler_type: MultiStepLR | |
| generator_train_start_steps: 1 | |
| generator_type: BigVGAN | |
| hop_size: 240 | |
| lambda_adv: 1.0 | |
| lambda_aux: 45.0 | |
| lambda_feat_match: 2.0 | |
| lambda_frontend_mel_prediction: 60 | |
| log_interval_steps: 1000 | |
| max_num_frames: 3000 | |
| mel_loss_params: | |
| fft_size: 2048 | |
| fmax: 8000 | |
| fmin: 40 | |
| fs: 24000 | |
| hop_size: 300 | |
| log_base: null | |
| num_mels: 80 | |
| win_length: 1200 | |
| window: hann | |
| min_num_frames: 600 | |
| num_mels: 80 | |
| num_save_intermediate_results: 4 | |
| num_workers: 8 | |
| outdir: exp/train_all_ctxv2w.v1 | |
| pin_memory: true | |
| pretrain: '' | |
| prompt_fold_by_2: true | |
| prompt_net_type: ConvPromptPrenet | |
| rank: 0 | |
| sampling_rate: 24000 | |
| save_interval_steps: 10000 | |
| use_feat_match_loss: true | |
| use_mel_loss: true | |
| use_stft_loss: false | |
| verbose: 1 | |
| version: 0.5.3 | |
| vq_codebook: feats/vqidx/codebook.npy | |
| win_length: 697 | |
| world_size: 4 | |