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tsukuyomi-chan-style-bert-vits2-model

Transformers
jp
つくよみちゃん
StyleBertVITS2
Inference Endpoints
Model card Files Community
tsukuyomi-chan-style-bert-vits2-model
File size: 1,967 Bytes 
21a1156
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "model_name": "tsukuyomi-chan",
  "train": {
    "log_interval": 200,
    "eval_interval": 1000,
    "seed": 42,
    "epochs": 200,
    "learning_rate": 0.0002,
    "betas": [
      0.8,
      0.99
    ],
    "eps": 1e-09,
    "batch_size": 4,
    "bf16_run": true,
    "lr_decay": 0.99995,
    "segment_size": 16384,
    "init_lr_ratio": 1,
    "warmup_epochs": 0,
    "c_mel": 45,
    "c_kl": 1.0,
    "skip_optimizer": false,
    "freeze_ZH_bert": false,
    "freeze_JP_bert": false,
    "freeze_EN_bert": false,
    "freeze_style": false
  },
  "data": {
    "training_files": "Data/tsukuyomi-chan/train.list",
    "validation_files": "Data/tsukuyomi-chan/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,
    "num_styles": 1,
    "style2id": {
      "Neutral": 0
    },
    "spk2id": {
      "tsukuyomi-chan": 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
  },
  "version": "1.3"
}