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{ASR_config: Utils/ASR/config.yml, ASR_path: Utils/ASR/epoch_00080.pth, F0_path: Utils/JDC/bst.t7,
PLBERT_dir: Utils/PLBERT/, batch_size: 2, data_params: {OOD_data: /content/drive/Othercomputers/My
Laptop/Voice Clones/DONE/ALL//OOD_texts.txt, min_length: 50, root_path: /content/drive/Othercomputers/My
Laptop/Voice Clones/DONE/ALL/, train_data: /content/drive/Othercomputers/My
Laptop/Voice Clones/DONE/ALL/Train_list.txt, val_data: /content/drive/Othercomputers/My
Laptop/Voice Clones/DONE/ALL/Val_list.txt}, device: cuda, epochs: 100, load_only_params: true,
log_dir: /content/drive/Othercomputers/My Laptop/Voice Clones/DONE/ALL/, log_interval: 10,
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}, max_len: 100,
model_params: {decoder: {resblock_dilation_sizes: [[1, 3, 5], [1, 3, 5], [1, 3,
5]], resblock_kernel_sizes: [3, 7, 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},
optimizer_params: {bert_lr: 1.0e-05, ft_lr: 0.0001, lr: 0.0001}, preprocess_params: {
spect_params: {hop_length: 300, n_fft: 2048, win_length: 1200}, sr: 24000}, pretrained_model: Models/LibriTTS/epochs_2nd_00020.pth,
save_freq: 1, second_stage_load_pretrained: true, slmadv_params: {batch_percentage: 0.5,
iter: 10, max_len: 500, min_len: 400, scale: 0.01, sig: 1.5, thresh: 5}}
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