thanks to StyleTTS2 ❤

config_ft.yml

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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: Data/OOD_texts.txt,
+    logger: wandb, min_length: 50, root_path: Data, train_data: Data/Train_list.txt,
+    val_data: Data/Val_list.txt}, device: cuda, epochs: 50, load_only_params: true,
+  log_dir: Models/LJSpeech, log_interval: 10, loss_params: {diff_epoch: 10, joint_epoch: 30,
+    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: 200, 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: .nan,
+        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}}

epoch_2nd_00000.pth

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+size 2040174838

tensorboard/events.out.tfevents.1708154438.ubuntu.214355.0

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+size 17224