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CONFIG
├── 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: 1
│ spk_emb_dim: 64
│ n_feats: 80
│ data_statistics:
│ mel_mean: -5.925878047943115
│ mel_std: 2.230491876602173
│ out_size: null
│ prior_loss: true
│ use_precomputed_durations: false
│ encoder:
│ encoder_type: RoPE Encoder
│ encoder_params:
│ n_feats: 80
│ 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: 256
│ kernel_size: 3
│ p_dropout: 0.1
│ 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: /notebooks/Matcha-TTS-Japanese/logs/train/ja005/runs/2024-09-19_03-24-56/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: /notebooks/Matcha-TTS-Japanese/logs/train/ja005/runs/2024-09-19_03-24-56/tensorboard/
│ name: null
│ log_graph: false
│ default_hp_metric: true
│ prefix: ''
│
├── trainer
│ └── _target_: lightning.pytorch.trainer.Trainer
│ default_root_dir: /notebooks/Matcha-TTS-Japanese/logs/train/ja005/runs/2024-09-19_03-24-56
│ 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: /notebooks/Matcha-TTS-Japanese
│ data_dir: /notebooks/Matcha-TTS-Japanese/data/
│ log_dir: /notebooks/Matcha-TTS-Japanese/logs/
│ output_dir: /notebooks/Matcha-TTS-Japanese/logs/train/ja005/runs/2024-09-19_03-24-56
│ work_dir: /notebooks/Matcha-TTS-Japanese
│
├── extras
│ └── ignore_warnings: false
│ enforce_tags: true
│ print_config: true
│
├── task_name
│ └── train
├── run_name
│ └── ja005
├── tags
│ └── ['ja005']
├── train
│ └── True
├── test
│ └── True
├── ckpt_path
│ └── datas/ja005/last.ckpt
└── seed
└── 1234
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