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Bert-VITS2

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Chinese
Inference Endpoints
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Bert-VITS2
File size: 1,756 Bytes 
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{
  "train": {
    "log_interval": 200,
    "eval_interval": 1000,
    "seed": 52,
    "epochs": 10000,
    "learning_rate": 0.0003,
    "betas": [
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      0.99
    ],
    "eps": 1e-09,
    "batch_size": 4,
    "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,
    "keep_ckpts": 2
  },
  "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": 1,
    "cleaned_text": true,
    "spk2id": {
      "jj": 0
    },
    "legacy_version":"1.0.1"
  },
  "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": [
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    ],
    "resblock_dilation_sizes": [
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    "upsample_rates": [
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    "upsample_initial_channel": 512,
    "upsample_kernel_sizes": [
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    "n_layers_q": 3,
    "use_spectral_norm": false,
    "gin_channels": 256
  }
}