{
    "model": "vits",
    "run_name": "vits_vn",
    "batch_size": 8,
    "eval_batch_size": 4,
    "num_loader_workers": 2,
    "num_eval_loader_workers": 2,
    "run_eval": true,
    "epochs": 200,
    "test_delay_epochs": 0,
    "text_cleaner": "basic_cleaners",
    "use_phonemes": false,
    "phoneme_language": null,
    "phoneme_cache_path": "/content/phoneme_cache",
    "print_step": 25,
    "plot_step": 100,
    "save_step": 2000,
    "save_n_checkpoints": 7,
    "mixed_precision": true,
    "output_path": "/content/out",
    "datasets": [
        {
            "name": "so_do",
            "meta_file_train": "/content/metadata_train.csv",
            "meta_file_val": "/content/metadata_val.csv",
            "formatter": "ljspeech",
            "path": "/content",
            "audio_path": "wavs"
        }
    ],
    "audio": {
        "sample_rate": 22050,
        "win_length": 1024,
        "hop_length": 256,
        "num_mels": 80,
        "mel_fmin": 0.0,
        "mel_fmax": 8000.0,
        "n_fft": 1024,
        "trim_silence": false,
        "trim_db": 45
    },
    "characters": {
        "pad": "_",
        "eos": "~",
        "bos": "^",
        "blank": " ",
        "characters": "abcd\u0111efghijklmnopqrstuvwxyz\u0103\u00e2\u00ea\u00f4\u01a1\u01b0\u00e1\u00e0\u1ea3\u00e3\u1ea1\u1eaf\u1eb1\u1eb3\u1eb5\u1eb7\u1ea5\u1ea7\u1ea9\u1eab\u1ead\u00e9\u00e8\u1ebb\u1ebd\u1eb9\u1ebf\u1ec1\u1ec3\u1ec5\u1ec7\u00ed\u00ec\u1ec9\u0129\u1ecb\u00f3\u00f2\u1ecf\u00f5\u1ecd\u1ed1\u1ed3\u1ed5\u1ed7\u1ed9\u1edb\u1edd\u1edf\u1ee1\u1ee3\u00fa\u00f9\u1ee7\u0169\u1ee5\u1ee9\u1eeb\u1eed\u1eef\u1ef1\u00fd\u1ef3\u1ef7\u1ef9\u1ef5",
        "punctuations": "!,.?:;-()\"'",
        "phonemes": null,
        "unique": true
    },
    "hidden_channels": 192,
    "hidden_channels_ffn_text_encoder": 512,
    "num_heads_text_encoder": 2,
    "num_layers_text_encoder": 6,
    "kernel_size_text_encoder": 3,
    "dropout_p_text_encoder": 0.1,
    "use_sdp": true,
    "num_flow_layers": 4,
    "use_mel_loss": true,
    "use_gan_loss": true,
    "discriminator_model": "multi_period_discriminator",
    "learning_rate": 0.0001,
    "generator_learning_rate": 0.0001,
    "discriminator_learning_rate": 5e-05,
    "scheduler": "exponential_lr_decay",
    "lr_decay_gamma": 0.999875,
    "test_sentences": [
        "Xin ch\u00e0o, \u0111\u00e2y l\u00e0 m\u00f4 h\u00ecnh VITS ti\u1ebfng Vi\u1ec7t.",
        "T\u00f4i \u0111ang hu\u1ea5n luy\u1ec7n TTS b\u1eb1ng Coqui VITS."
    ]
}