gptsovits / pretrained_models /s2_config.json
eschmidbauer's picture
add pretrained models
d33d54e
{
"train": {
"log_interval": 100,
"eval_interval": 500,
"seed": 1234,
"epochs": 8,
"learning_rate": 0.0001,
"betas": [
0.8,
0.99
],
"eps": 1e-09,
"batch_size": 11,
"fp16_run": true,
"lr_decay": 0.999875,
"segment_size": 20480,
"init_lr_ratio": 1,
"warmup_epochs": 0,
"c_mel": 45,
"c_kl": 1.0,
"text_low_lr_rate": 0.4,
"pretrained_s2G": "pretrained_models/s2G2333k.pth",
"pretrained_s2D": "pretrained_models/s2D2333k.pth",
"if_save_latest": true,
"if_save_every_weights": true,
"save_every_epoch": 4,
"gpu_numbers": "0"
},
"data": {
"max_wav_value": 32768.0,
"sampling_rate": 32000,
"filter_length": 2048,
"hop_length": 640,
"win_length": 2048,
"n_mel_channels": 128,
"mel_fmin": 0.0,
"mel_fmax": null,
"add_blank": true,
"n_speakers": 300,
"cleaned_text": true,
"exp_dir": "logs/s2"
},
"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,
7,
11
],
"resblock_dilation_sizes": [
[
1,
3,
5
],
[
1,
3,
5
],
[
1,
3,
5
]
],
"upsample_rates": [
10,
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": 512,
"semantic_frame_rate": "25hz",
"freeze_quantizer": true,
"version": "v2"
},
"s2_ckpt_dir": "logs/s2/big2k1",
"content_module": "cnhubert",
"save_weight_dir": "SoVITS_weights_v2",
"name": "big2k1",
"version": "v2"
}