Amelia3_ft_StyleTTS2 / config.json
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{
"model_params": {
"decoder": {
"resblock_dilation_sizes": [
[
1,
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5
],
[
1,
3,
5
],
[
1,
3,
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]
],
"resblock_kernel_sizes": [
3,
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11
],
"type": "hifigan",
"upsample_initial_channel": 512,
"upsample_kernel_sizes": [
20,
10,
6,
4
],
"upsample_rates": [
10,
5,
3,
2
]
},
"diffusion": {
"dist": {
"estimate_sigma_data": true,
"mean": -3.0,
"sigma_data": 0.2,
"std": 1.0
},
"embedding_mask_proba": 0.1,
"transformer": {
"head_features": 64,
"multiplier": 2,
"num_heads": 8,
"num_layers": 3
}
},
"dim_in": 64,
"dropout": 0.2,
"hidden_dim": 512,
"max_conv_dim": 512,
"max_dur": 50,
"multispeaker": true,
"n_layer": 3,
"n_mels": 80,
"n_token": 178,
"slm": {
"hidden": 768,
"initial_channel": 64,
"model": "microsoft/wavlm-base-plus",
"nlayers": 13,
"sr": 16000
},
"style_dim": 128
},
"training_config": {
"epochs": 5,
"batch_size": 2,
"max_len": 600,
"optimizer": {
"bert_lr": 1e-05,
"ft_lr": 0.0001,
"lr": 0.0001
},
"loss_params": {
"diff_epoch": 2,
"joint_epoch": 110,
"lambda_F0": 1.0,
"lambda_ce": 20.0,
"lambda_diff": 1.0,
"lambda_dur": 1.0,
"lambda_gen": 1.0,
"lambda_mel": 5.0,
"lambda_mono": 1.0,
"lambda_norm": 1.0,
"lambda_s2s": 1.0,
"lambda_slm": 1.0,
"lambda_sty": 1.0
}
},
"preprocess_params": {
"spect_params": {
"hop_length": 300,
"n_fft": 2048,
"win_length": 1200
},
"sr": 24000
},
"data_params": {
"OOD_data": "Data/OOD_texts.txt",
"min_length": 50,
"root_path": "Data/wavs",
"train_data": "Data/train_list.txt",
"val_data": "Data/val_list.txt"
},
"model_state": {
"epoch": 3,
"iterations": 3384,
"val_loss": 0.39982396364212036
},
"training_metrics": {
"train_loss": [],
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"dur_loss": [
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],
"F0_loss": [
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],
"epochs": [
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3,
4,
5,
6,
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8,
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]
}
}