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Update: clone from original and replace the model weights
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{
"model_name": "Dummy",
"train": {
"log_interval": 200,
"eval_interval": 1000,
"seed": 42,
"epochs": 1000,
"learning_rate": 0.0002,
"betas": [0.8, 0.99],
"eps": 1e-9,
"batch_size": 2,
"bf16_run": false,
"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,
"freeze_encoder": false
},
"data": {
"use_jp_extra": false,
"training_files": "Data/Dummy/train.list",
"validation_files": "Data/Dummy/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
}
},
"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": "2.5.0"
}