vits-zh-hf-fanchen-wnj / G_wnj_latest.json
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{
"train": {
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"eval_interval": 100,
"seed": 1234,
"epochs": 200,
"learning_rate": 0.0002,
"betas": [
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],
"eps": 1e-09,
"batch_size": 8,
"fp16_run": true,
"lr_decay": 0.999875,
"segment_size": 8192,
"init_lr_ratio": 1,
"warmup_epochs": 0,
"c_mel": 45,
"c_kl": 1.0
},
"data": {
"training_files": "final_annotation_train.txt",
"validation_files": "final_annotation_val.txt",
"text_cleaners": [
"chinese_cleaners"
],
"max_wav_value": 32768.0,
"sampling_rate": 16000,
"filter_length": 1024,
"hop_length": 256,
"win_length": 1024,
"n_mel_channels": 80,
"mel_fmin": 0.0,
"mel_fmax": null,
"add_blank": true,
"n_speakers": 1,
"cleaned_text": true
},
"model": {
"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,
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],
"resblock_dilation_sizes": [
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],
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3,
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],
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]
],
"upsample_rates": [
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8,
2,
2
],
"upsample_initial_channel": 512,
"upsample_kernel_sizes": [
16,
16,
4,
4
],
"n_layers_q": 3,
"use_spectral_norm": false,
"gin_channels": 256
},
"speakers": {
"wnj": 0
},
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"model_dir": "save_models\\wnj"
}