| task_name: train | |
| run_name: ja005 | |
| tags: | |
| - ja005 | |
| train: true | |
| test: true | |
| ckpt_path: datas/ja005/last.ckpt | |
| seed: 1234 | |
| data: | |
| _target_: matcha.data.text_mel_datamodule.TextMelDataModule | |
| name: ja005 | |
| train_filelist_path: datas/ja005/train.cleaned.txt | |
| valid_filelist_path: datas/ja005/valid.cleaned.txt | |
| batch_size: 80 | |
| num_workers: 1 | |
| pin_memory: true | |
| cleaners: | |
| - basic_cleaners2 | |
| add_blank: true | |
| n_spks: 1 | |
| n_fft: 1024 | |
| n_feats: 80 | |
| sample_rate: 22050 | |
| hop_length: 256 | |
| win_length: 1024 | |
| f_min: 0 | |
| f_max: 8000 | |
| data_statistics: | |
| mel_mean: -5.925878047943115 | |
| mel_std: 2.230491876602173 | |
| seed: 3000 | |
| load_durations: false | |
| model: | |
| _target_: matcha.models.matcha_tts.MatchaTTS | |
| n_vocab: 178 | |
| n_spks: ${data.n_spks} | |
| spk_emb_dim: 64 | |
| n_feats: 80 | |
| data_statistics: ${data.data_statistics} | |
| out_size: null | |
| prior_loss: true | |
| use_precomputed_durations: ${data.load_durations} | |
| encoder: | |
| encoder_type: RoPE Encoder | |
| encoder_params: | |
| n_feats: ${model.n_feats} | |
| n_channels: 192 | |
| filter_channels: 768 | |
| filter_channels_dp: 256 | |
| n_heads: 2 | |
| n_layers: 6 | |
| kernel_size: 3 | |
| p_dropout: 0.1 | |
| spk_emb_dim: 64 | |
| n_spks: 1 | |
| prenet: true | |
| duration_predictor_params: | |
| filter_channels_dp: ${model.encoder.encoder_params.filter_channels_dp} | |
| kernel_size: 3 | |
| p_dropout: ${model.encoder.encoder_params.p_dropout} | |
| decoder: | |
| channels: | |
| - 256 | |
| - 256 | |
| dropout: 0.05 | |
| attention_head_dim: 64 | |
| n_blocks: 1 | |
| num_mid_blocks: 2 | |
| num_heads: 2 | |
| act_fn: snakebeta | |
| cfm: | |
| name: CFM | |
| solver: euler | |
| sigma_min: 0.0001 | |
| optimizer: | |
| _target_: torch.optim.Adam | |
| _partial_: true | |
| lr: 0.0001 | |
| weight_decay: 0.0 | |
| callbacks: | |
| model_checkpoint: | |
| _target_: lightning.pytorch.callbacks.ModelCheckpoint | |
| dirpath: ${paths.output_dir}/checkpoints | |
| filename: checkpoint_{epoch:04d} | |
| monitor: epoch | |
| verbose: false | |
| save_last: true | |
| save_top_k: 25 | |
| mode: max | |
| auto_insert_metric_name: true | |
| save_weights_only: false | |
| every_n_train_steps: null | |
| train_time_interval: null | |
| every_n_epochs: 25 | |
| save_on_train_epoch_end: null | |
| model_summary: | |
| _target_: lightning.pytorch.callbacks.RichModelSummary | |
| max_depth: 3 | |
| rich_progress_bar: | |
| _target_: lightning.pytorch.callbacks.RichProgressBar | |
| logger: | |
| tensorboard: | |
| _target_: lightning.pytorch.loggers.tensorboard.TensorBoardLogger | |
| save_dir: ${paths.output_dir}/tensorboard/ | |
| name: null | |
| log_graph: false | |
| default_hp_metric: true | |
| prefix: '' | |
| trainer: | |
| _target_: lightning.pytorch.trainer.Trainer | |
| default_root_dir: ${paths.output_dir} | |
| max_epochs: -1 | |
| accelerator: gpu | |
| devices: | |
| - 0 | |
| precision: 16-mixed | |
| check_val_every_n_epoch: 1 | |
| deterministic: false | |
| gradient_clip_val: 5.0 | |
| paths: | |
| root_dir: ${oc.env:PROJECT_ROOT} | |
| data_dir: ${paths.root_dir}/data/ | |
| log_dir: ${paths.root_dir}/logs/ | |
| output_dir: ${hydra:runtime.output_dir} | |
| work_dir: ${hydra:runtime.cwd} | |
| extras: | |
| ignore_warnings: false | |
| enforce_tags: true | |
| print_config: true | |