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Bert-VITS2-train-models

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Bert-VITS2-train-models
File size: 2,174 Bytes 
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{
    "train": {
        "log_interval": 350,
        "eval_interval": 1450,
        "seed": 52,
        "epochs": 400,
        "learning_rate": 0.0003,
        "betas": [
            0.8,
            0.99
        ],
        "keep_ckpts": 1,
        "eps": 1e-09,
        "batch_size": 1,
        "fp16_run": false,
        "lr_decay": 0.999875,
        "segment_size": 16384,
        "init_lr_ratio": 1,
        "warmup_epochs": 0,
        "c_mel": 45,
        "c_kl": 1.0,
        "skip_optimizer": true
    },
    "data": {
        "training_files": "filelists/train.list",
        "validation_files": "filelists/val.list",
        "max_wav_value": 32768.0,
        "sampling_rate": 44100,
        "filter_length": 2048,
        "hop_length": 512,
        "win_length": 2048,
        "n_mel_channels": 128,
        "mel_fmin": 0.0,
        "mel_fmax": null,
        "add_blank": true,
        "n_speakers": 256,
        "cleaned_text": true,
        "spk2id": {
            "丹恒": 0
        }
    },
    "model": {
        "use_spk_conditioned_encoder": true,
        "use_noise_scaled_mas": true,
        "use_mel_posterior_encoder": false,
        "use_duration_discriminator": true,
        "inter_channels": 192,
        "hidden_channels": 192,
        "filter_channels": 768,
        "n_heads": 2,
        "n_layers": 6,
        "kernel_size": 3,
        "p_dropout": 0.1,
        "resblock": "1",
        "resblock_kernel_sizes": [
            3,
            7,
            11
        ],
        "resblock_dilation_sizes": [
            [
                1,
                3,
                5
            ],
            [
                1,
                3,
                5
            ],
            [
                1,
                3,
                5
            ]
        ],
        "upsample_rates": [
            8,
            8,
            2,
            2,
            2
        ],
        "upsample_initial_channel": 512,
        "upsample_kernel_sizes": [
            16,
            16,
            8,
            2,
            2
        ],
        "n_layers_q": 3,
        "use_spectral_norm": false,
        "gin_channels": 256
    }
}