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LJSpeech/config.yml

@@ -1,119 +1,21 @@
-log_dir: "Models/LJSpeech"
-first_stage_path: "first_stage.pth"
-save_freq: 1
-log_interval: 10
-device: "cuda"
-epochs_1st: 20 # number of epochs for first stage training (pre-training)
-epochs_2nd: 100 # number of peochs for second stage training (joint training)
-# first epoch = 3x650
-# second epoch = 2x440
-# second stage 1st epoch = 2x300
-batch_size: 2
-max_len: 290 # maximum number of frames
-pretrained_model: "LJSpeech/epoch_2nd_00042.pth"
-second_stage_load_pretrained: true # set to true if the pre-trained model is for 2nd stage
-load_only_params: false # set to true if do not want to load epoch numbers and optimizer parameters
-
-F0_path: "Utils/JDC/bst.t7"
-ASR_config: "Utils/ASR/config.yml"
-ASR_path: "Utils/ASR/epoch_00080.pth"
-PLBERT_dir: 'Utils/PLBERT/'
-
-data_params:
-  train_data: "Data/train_list.txt"
-  val_data: "Data/val_list.txt"
-  root_path: "/content/StyleTTS2/Dataset"
-  OOD_data: "Data/OOD_texts.txt"
-  min_length: 50 # sample until texts with this size are obtained for OOD texts
-
-preprocess_params:
-  sr: 24000
-  spect_params:
-    n_fft: 2048
-    win_length: 1200
-    hop_length: 300
-
-model_params:
-  multispeaker: false
-
-  dim_in: 64 
-  hidden_dim: 512
-  max_conv_dim: 512
-  n_layer: 3
-  n_mels: 80
-
-  n_token: 185 # number of phoneme tokens
-  max_dur: 50 # maximum duration of a single phoneme
-  style_dim: 128 # style vector size
-  
-  dropout: 0.2
-
-  # config for decoder
-  decoder: 
-      type: 'istftnet' # either hifigan or istftnet
-      resblock_kernel_sizes: [3,7,11]
-      upsample_rates :  [10, 6]
-      upsample_initial_channel: 512
-      resblock_dilation_sizes: [[1,3,5], [1,3,5], [1,3,5]]
-      upsample_kernel_sizes: [20, 12]
-      gen_istft_n_fft: 20
-      gen_istft_hop_size: 5
-      
-  # speech language model config
-  slm:
-      model: 'microsoft/wavlm-base-plus'
-      sr: 16000 # sampling rate of SLM
-      hidden: 768 # hidden size of SLM
-      nlayers: 13 # number of layers of SLM
-      initial_channel: 64 # initial channels of SLM discriminator head
-  
-  # style diffusion model config
-  diffusion:
-    embedding_mask_proba: 0.1
-    # transformer config
-    transformer:
-      num_layers: 3
-      num_heads: 8
-      head_features: 64
-      multiplier: 2
-
-    # diffusion distribution config
-    dist:
-      sigma_data: 0.2 # placeholder for estimate_sigma_data set to false
-      estimate_sigma_data: true # estimate sigma_data from the current batch if set to true
-      mean: -3.0
-      std: 1.0
-  
-loss_params:
-    lambda_mel: 5. # mel reconstruction loss
-    lambda_gen: 1. # generator loss
-    lambda_slm: 1. # slm feature matching loss
-    
-    lambda_mono: 1. # monotonic alignment loss (1st stage, TMA)
-    lambda_s2s: 1. # sequence-to-sequence loss (1st stage, TMA)
-    TMA_epoch: 2 # TMA starting epoch (1st stage)
-
-    lambda_F0: 1. # F0 reconstruction loss (2nd stage)
-    lambda_norm: 1. # norm reconstruction loss (2nd stage)
-    lambda_dur: 1. # duration loss (2nd stage)
-    lambda_ce: 20. # duration predictor probability output CE loss (2nd stage)
-    lambda_sty: 1. # style reconstruction loss (2nd stage)
-    lambda_diff: 1. # score matching loss (2nd stage)
-    
-    diff_epoch: 0 # style diffusion starting epoch (2nd stage)
-    joint_epoch: 0 # joint training starting epoch (2nd stage)
-
-optimizer_params:
-  lr: 0.0001 # general learning rate
-  bert_lr: 0.00001 # learning rate for PLBERT
-  ft_lr: 0.00001 # learning rate for acoustic modules
-  
-slmadv_params:
-  min_len: 400 # minimum length of samples
-  max_len: 500 # maximum length of samples
-  batch_percentage: 0.5 # to prevent out of memory, only use half of the original batch size
-  iter: 10 # update the discriminator every this iterations of generator update
-  thresh: 5 # gradient norm above which the gradient is scaled
-  scale: 0.01 # gradient scaling factor for predictors from SLM discriminators
-  sig: 1.5 # sigma for differentiable duration modeling
-  
+{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,
+    min_length: 50, root_path: /content/StyleTTS2/Dataset, train_data: Data/train_list.txt,
+    val_data: Data/val_list.txt}, device: cuda, epochs_1st: 20, epochs_2nd: 100, first_stage_path: first_stage.pth,
+  load_only_params: false, log_dir: Models/LJSpeech, log_interval: 10, loss_params: {
+    TMA_epoch: 2, diff_epoch: 0, joint_epoch: 0, 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: 290,
+  model_params: {decoder: {gen_istft_hop_size: 5, gen_istft_n_fft: 20, resblock_dilation_sizes: [
+        [1, 3, 5], [1, 3, 5], [1, 3, 5]], resblock_kernel_sizes: [3, 7, 11], type: istftnet,
+      upsample_initial_channel: 512, upsample_kernel_sizes: [20, 12], upsample_rates: [
+        10, 6]}, 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: false, n_layer: 3, n_mels: 80, n_token: 185,
+    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: 1.0e-05,
+    lr: 0.0001}, preprocess_params: {spect_params: {hop_length: 300, n_fft: 2048,
+      win_length: 1200}, sr: 24000}, pretrained_model: LJSpeech/epoch_2nd_00043.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}}

LJSpeech/epoch_2nd_00044.pth

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+oid sha256:2ec061ce73a1614d4408bed6e11f50b78442c8d07699032f3714b19f9745127e
+size 1214052959

LJSpeech/tensorboard/events.out.tfevents.1744212776.2c33c58e9721.17607.0

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+oid sha256:05b1c276d4f5d52f5588b9c2e39daa6ad86b376175d1ca9a9dba69698fcf1cb3
+size 102984

LJSpeech/train.log

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 INFO:2025-04-09 15:27:15,331: Epoch [44/100], Step [90/103], Loss: 0.79346, Disc Loss: 0.00000, Dur Loss: 1.51334, CE Loss: 0.11069, Norm Loss: 2.32799, F0 Loss: 7.78951, LM Loss: 2.73972, Gen Loss: 16.96815, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
 INFO:2025-04-09 15:27:43,894: Epoch [44/100], Step [100/103], Loss: 0.78049, Disc Loss: 0.00000, Dur Loss: 1.61853, CE Loss: 0.10998, Norm Loss: 4.09811, F0 Loss: 9.68368, LM Loss: 2.93774, Gen Loss: 15.32022, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 15:34:27,419: Epoch [45/100], Step [10/103], Loss: 0.76925, Disc Loss: 0.00000, Dur Loss: 1.60723, CE Loss: 0.12311, Norm Loss: 1.93672, F0 Loss: 6.35864, LM Loss: 2.75160, Gen Loss: 16.23942, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 15:35:24,453: Epoch [45/100], Step [30/103], Loss: 0.75313, Disc Loss: 0.00000, Dur Loss: 1.60384, CE Loss: 0.11233, Norm Loss: 2.31608, F0 Loss: 7.84740, LM Loss: 2.80882, Gen Loss: 16.35447, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 15:54:55,874: Epoch [49/100], Step [10/103], Loss: 0.79064, Disc Loss: 0.00000, Dur Loss: 1.71305, CE Loss: 0.09838, Norm Loss: 2.07923, F0 Loss: 5.36563, LM Loss: 2.51087, Gen Loss: 12.46248, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 16:06:00,722: Epoch [51/100], Step [30/103], Loss: 0.79878, Disc Loss: 0.00000, Dur Loss: 1.66172, CE Loss: 0.09781, Norm Loss: 2.01787, F0 Loss: 6.81667, LM Loss: 2.79148, Gen Loss: 12.63575, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:06:28,581: Epoch [51/100], Step [40/103], Loss: 0.85386, Disc Loss: 0.00000, Dur Loss: 1.41141, CE Loss: 0.08248, Norm Loss: 3.11067, F0 Loss: 8.52207, LM Loss: 2.89781, Gen Loss: 12.79065, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:06:56,853: Epoch [51/100], Step [50/103], Loss: 0.85089, Disc Loss: 0.00000, Dur Loss: 1.39120, CE Loss: 0.07872, Norm Loss: 2.48022, F0 Loss: 7.38072, LM Loss: 2.72564, Gen Loss: 11.80276, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:07:26,037: Epoch [51/100], Step [60/103], Loss: 0.87283, Disc Loss: 0.00000, Dur Loss: 1.74739, CE Loss: 0.11288, Norm Loss: 2.90447, F0 Loss: 7.61643, LM Loss: 2.98127, Gen Loss: 13.04446, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:07:55,028: Epoch [51/100], Step [70/103], Loss: 0.85498, Disc Loss: 0.00000, Dur Loss: 1.62941, CE Loss: 0.08655, Norm Loss: 3.13671, F0 Loss: 11.29692, LM Loss: 2.96700, Gen Loss: 13.58462, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:08:24,084: Epoch [51/100], Step [80/103], Loss: 0.86251, Disc Loss: 0.00000, Dur Loss: 2.08889, CE Loss: 0.13884, Norm Loss: 3.13874, F0 Loss: 6.96712, LM Loss: 3.05021, Gen Loss: 13.49964, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:08:52,947: Epoch [51/100], Step [90/103], Loss: 0.85898, Disc Loss: 0.00000, Dur Loss: 1.95077, CE Loss: 0.12966, Norm Loss: 3.29895, F0 Loss: 8.72514, LM Loss: 2.96714, Gen Loss: 11.86429, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:09:21,311: Epoch [51/100], Step [100/103], Loss: 0.84460, Disc Loss: 0.00000, Dur Loss: 1.64171, CE Loss: 0.10152, Norm Loss: 1.95786, F0 Loss: 5.98255, LM Loss: 2.83726, Gen Loss: 13.04491, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:10:06,180: Epoch [52/100], Step [10/103], Loss: 0.87574, Disc Loss: 0.00000, Dur Loss: 1.58750, CE Loss: 0.09476, Norm Loss: 1.92199, F0 Loss: 4.81506, LM Loss: 2.70250, Gen Loss: 12.03047, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:10:34,811: Epoch [52/100], Step [20/103], Loss: 0.82095, Disc Loss: 0.00000, Dur Loss: 1.64043, CE Loss: 0.10194, Norm Loss: 2.70713, F0 Loss: 7.44572, LM Loss: 2.78701, Gen Loss: 13.09006, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:11:03,314: Epoch [52/100], Step [30/103], Loss: 0.80756, Disc Loss: 0.00000, Dur Loss: 1.55150, CE Loss: 0.09047, Norm Loss: 1.72454, F0 Loss: 5.61176, LM Loss: 2.85865, Gen Loss: 12.98802, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:11:31,894: Epoch [52/100], Step [40/103], Loss: 0.84326, Disc Loss: 0.00000, Dur Loss: 1.49858, CE Loss: 0.08996, Norm Loss: 2.23601, F0 Loss: 7.12460, LM Loss: 2.84350, Gen Loss: 12.60380, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:12:00,750: Epoch [52/100], Step [50/103], Loss: 0.83981, Disc Loss: 0.00000, Dur Loss: 1.51635, CE Loss: 0.09271, Norm Loss: 1.72108, F0 Loss: 5.97923, LM Loss: 2.83678, Gen Loss: 13.52786, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:12:29,260: Epoch [52/100], Step [60/103], Loss: 0.82288, Disc Loss: 0.00000, Dur Loss: 1.50036, CE Loss: 0.09998, Norm Loss: 2.40593, F0 Loss: 7.93239, LM Loss: 2.83630, Gen Loss: 12.71689, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:12:56,851: Epoch [52/100], Step [70/103], Loss: 0.85441, Disc Loss: 0.00000, Dur Loss: 1.62077, CE Loss: 0.09939, Norm Loss: 2.29889, F0 Loss: 7.71709, LM Loss: 2.81784, Gen Loss: 12.65387, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:13:25,858: Epoch [52/100], Step [80/103], Loss: 0.87793, Disc Loss: 0.00000, Dur Loss: 1.66936, CE Loss: 0.08706, Norm Loss: 2.60073, F0 Loss: 8.63843, LM Loss: 2.87360, Gen Loss: 12.60544, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:13:54,340: Epoch [52/100], Step [90/103], Loss: 0.82201, Disc Loss: 0.00000, Dur Loss: 1.61509, CE Loss: 0.10616, Norm Loss: 1.91530, F0 Loss: 5.97357, LM Loss: 2.88575, Gen Loss: 13.37895, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:14:22,919: Epoch [52/100], Step [100/103], Loss: 0.84490, Disc Loss: 0.00000, Dur Loss: 1.67807, CE Loss: 0.11398, Norm Loss: 2.43321, F0 Loss: 7.27788, LM Loss: 2.85422, Gen Loss: 13.26878, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:15:06,219: Epoch [53/100], Step [10/103], Loss: 0.83550, Disc Loss: 0.00000, Dur Loss: 1.39280, CE Loss: 0.07891, Norm Loss: 1.46663, F0 Loss: 4.04973, LM Loss: 2.72766, Gen Loss: 12.18227, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:15:35,741: Epoch [53/100], Step [20/103], Loss: 0.83711, Disc Loss: 0.00000, Dur Loss: 1.50134, CE Loss: 0.09024, Norm Loss: 1.90167, F0 Loss: 5.59451, LM Loss: 2.91801, Gen Loss: 13.18082, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:16:04,676: Epoch [53/100], Step [30/103], Loss: 0.84931, Disc Loss: 0.00000, Dur Loss: 1.67606, CE Loss: 0.09173, Norm Loss: 2.69269, F0 Loss: 8.31961, LM Loss: 2.93934, Gen Loss: 12.31418, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:16:33,296: Epoch [53/100], Step [40/103], Loss: 0.76592, Disc Loss: 0.00000, Dur Loss: 1.85873, CE Loss: 0.11955, Norm Loss: 2.03679, F0 Loss: 5.73733, LM Loss: 2.91119, Gen Loss: 12.83943, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:17:01,533: Epoch [53/100], Step [50/103], Loss: 0.82397, Disc Loss: 0.00000, Dur Loss: 1.88770, CE Loss: 0.10868, Norm Loss: 2.71126, F0 Loss: 7.99805, LM Loss: 2.78350, Gen Loss: 12.90550, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:17:29,818: Epoch [53/100], Step [60/103], Loss: 0.83904, Disc Loss: 0.00000, Dur Loss: 1.60833, CE Loss: 0.09673, Norm Loss: 2.76757, F0 Loss: 9.63087, LM Loss: 2.87874, Gen Loss: 13.71238, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:17:58,339: Epoch [53/100], Step [70/103], Loss: 0.80159, Disc Loss: 0.00000, Dur Loss: 1.52634, CE Loss: 0.09068, Norm Loss: 1.91796, F0 Loss: 5.27620, LM Loss: 2.71482, Gen Loss: 13.37467, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:18:27,710: Epoch [53/100], Step [80/103], Loss: 0.83467, Disc Loss: 0.00000, Dur Loss: 1.57656, CE Loss: 0.09551, Norm Loss: 3.46098, F0 Loss: 7.45196, LM Loss: 2.98850, Gen Loss: 12.65392, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:18:56,162: Epoch [53/100], Step [90/103], Loss: 0.88031, Disc Loss: 0.00000, Dur Loss: 1.57546, CE Loss: 0.09465, Norm Loss: 2.36288, F0 Loss: 8.18708, LM Loss: 2.95886, Gen Loss: 11.89843, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:19:25,050: Epoch [53/100], Step [100/103], Loss: 0.81830, Disc Loss: 0.00000, Dur Loss: 1.53229, CE Loss: 0.09578, Norm Loss: 2.03786, F0 Loss: 8.07014, LM Loss: 2.82274, Gen Loss: 13.13558, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:20:10,857: Epoch [54/100], Step [10/103], Loss: 0.81686, Disc Loss: 0.00000, Dur Loss: 1.49127, CE Loss: 0.08596, Norm Loss: 2.35524, F0 Loss: 6.64057, LM Loss: 2.98250, Gen Loss: 12.42204, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:20:39,652: Epoch [54/100], Step [20/103], Loss: 0.84419, Disc Loss: 0.00000, Dur Loss: 1.66541, CE Loss: 0.09634, Norm Loss: 3.18112, F0 Loss: 8.53869, LM Loss: 3.00572, Gen Loss: 12.45608, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:21:07,976: Epoch [54/100], Step [30/103], Loss: 0.76102, Disc Loss: 0.00000, Dur Loss: 1.90002, CE Loss: 0.12093, Norm Loss: 2.05393, F0 Loss: 5.58385, LM Loss: 2.67433, Gen Loss: 11.86464, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:21:36,999: Epoch [54/100], Step [40/103], Loss: 0.84342, Disc Loss: 0.00000, Dur Loss: 1.72986, CE Loss: 0.10537, Norm Loss: 2.36071, F0 Loss: 6.48739, LM Loss: 2.86153, Gen Loss: 12.05358, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:22:05,180: Epoch [54/100], Step [50/103], Loss: 0.87811, Disc Loss: 0.00000, Dur Loss: 1.59737, CE Loss: 0.09494, Norm Loss: 2.34777, F0 Loss: 7.99866, LM Loss: 2.91873, Gen Loss: 13.12559, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:22:33,673: Epoch [54/100], Step [60/103], Loss: 0.84040, Disc Loss: 0.00000, Dur Loss: 1.77781, CE Loss: 0.10774, Norm Loss: 1.88727, F0 Loss: 6.30916, LM Loss: 2.86851, Gen Loss: 11.94248, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:23:02,578: Epoch [54/100], Step [70/103], Loss: 0.84372, Disc Loss: 0.00000, Dur Loss: 1.71578, CE Loss: 0.10233, Norm Loss: 2.42183, F0 Loss: 8.99435, LM Loss: 2.96304, Gen Loss: 12.56993, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:23:30,346: Epoch [54/100], Step [80/103], Loss: 0.79159, Disc Loss: 0.00000, Dur Loss: 1.71242, CE Loss: 0.09584, Norm Loss: 2.13962, F0 Loss: 5.99326, LM Loss: 2.91586, Gen Loss: 12.89311, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:23:59,250: Epoch [54/100], Step [90/103], Loss: 0.84977, Disc Loss: 0.00000, Dur Loss: 1.50474, CE Loss: 0.11118, Norm Loss: 2.46795, F0 Loss: 6.86888, LM Loss: 2.84177, Gen Loss: 12.06065, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:24:27,546: Epoch [54/100], Step [100/103], Loss: 0.84154, Disc Loss: 0.00000, Dur Loss: 1.45777, CE Loss: 0.08780, Norm Loss: 2.33158, F0 Loss: 6.69521, LM Loss: 3.00452, Gen Loss: 13.36839, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 16:41:38,703: Epoch [58/100], Step [20/103], Loss: 0.81735, Disc Loss: 0.00000, Dur Loss: 1.47817, CE Loss: 0.08964, Norm Loss: 2.58059, F0 Loss: 7.78312, LM Loss: 2.94151, Gen Loss: 12.51981, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 16:43:34,367: Epoch [58/100], Step [60/103], Loss: 0.79524, Disc Loss: 0.00000, Dur Loss: 1.70919, CE Loss: 0.10298, Norm Loss: 2.19291, F0 Loss: 4.95554, LM Loss: 2.86371, Gen Loss: 11.02670, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:44:03,195: Epoch [58/100], Step [70/103], Loss: 0.80373, Disc Loss: 0.00000, Dur Loss: 1.51866, CE Loss: 0.10301, Norm Loss: 2.51599, F0 Loss: 6.20081, LM Loss: 2.77183, Gen Loss: 12.25302, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:44:31,098: Epoch [58/100], Step [80/103], Loss: 0.81747, Disc Loss: 0.00000, Dur Loss: 1.63825, CE Loss: 0.10265, Norm Loss: 2.15074, F0 Loss: 8.17295, LM Loss: 2.86352, Gen Loss: 12.76293, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:44:59,652: Epoch [58/100], Step [90/103], Loss: 0.82786, Disc Loss: 0.00000, Dur Loss: 1.59410, CE Loss: 0.09701, Norm Loss: 2.13221, F0 Loss: 7.30156, LM Loss: 2.88542, Gen Loss: 12.54265, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:45:27,061: Epoch [58/100], Step [100/103], Loss: 0.83524, Disc Loss: 0.00000, Dur Loss: 1.53502, CE Loss: 0.10277, Norm Loss: 2.11775, F0 Loss: 7.12800, LM Loss: 2.97244, Gen Loss: 12.61484, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:46:17,058: Epoch [59/100], Step [10/103], Loss: 0.80524, Disc Loss: 0.00000, Dur Loss: 1.42775, CE Loss: 0.08974, Norm Loss: 1.87702, F0 Loss: 6.31048, LM Loss: 2.75753, Gen Loss: 12.67973, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:46:45,657: Epoch [59/100], Step [20/103], Loss: 0.81381, Disc Loss: 0.00000, Dur Loss: 1.51674, CE Loss: 0.09644, Norm Loss: 1.36333, F0 Loss: 6.56003, LM Loss: 2.74655, Gen Loss: 12.03753, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:47:15,656: Epoch [59/100], Step [30/103], Loss: 0.81438, Disc Loss: 0.00000, Dur Loss: 1.49298, CE Loss: 0.08909, Norm Loss: 1.66960, F0 Loss: 5.42323, LM Loss: 2.81444, Gen Loss: 12.51747, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:47:44,600: Epoch [59/100], Step [40/103], Loss: 0.85809, Disc Loss: 0.00000, Dur Loss: 1.71203, CE Loss: 0.10870, Norm Loss: 2.07830, F0 Loss: 6.67535, LM Loss: 2.94702, Gen Loss: 12.27796, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:48:14,623: Epoch [59/100], Step [50/103], Loss: 0.82730, Disc Loss: 0.00000, Dur Loss: 1.60335, CE Loss: 0.10613, Norm Loss: 2.12822, F0 Loss: 7.04253, LM Loss: 2.97420, Gen Loss: 12.52604, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:48:42,505: Epoch [59/100], Step [60/103], Loss: 0.84246, Disc Loss: 0.00000, Dur Loss: 1.54667, CE Loss: 0.09830, Norm Loss: 1.48674, F0 Loss: 5.67845, LM Loss: 2.89368, Gen Loss: 11.83660, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:49:10,811: Epoch [59/100], Step [70/103], Loss: 0.78241, Disc Loss: 0.00000, Dur Loss: 1.50371, CE Loss: 0.09197, Norm Loss: 2.16186, F0 Loss: 6.79512, LM Loss: 2.91289, Gen Loss: 12.94840, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:49:38,109: Epoch [59/100], Step [80/103], Loss: 0.79385, Disc Loss: 0.00000, Dur Loss: 1.67099, CE Loss: 0.12059, Norm Loss: 2.40424, F0 Loss: 7.21200, LM Loss: 3.01307, Gen Loss: 11.95230, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:50:06,671: Epoch [59/100], Step [90/103], Loss: 0.78860, Disc Loss: 0.00000, Dur Loss: 1.78172, CE Loss: 0.09951, Norm Loss: 1.84249, F0 Loss: 5.74503, LM Loss: 2.65181, Gen Loss: 11.19802, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:50:35,182: Epoch [59/100], Step [100/103], Loss: 0.79027, Disc Loss: 0.00000, Dur Loss: 1.74803, CE Loss: 0.10495, Norm Loss: 2.19213, F0 Loss: 7.51192, LM Loss: 2.80699, Gen Loss: 11.92603, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
+INFO:2025-04-09 16:51:26,426: Epoch [60/100], Step [10/103], Loss: 0.82383, Disc Loss: 0.00000, Dur Loss: 1.44232, CE Loss: 0.08415, Norm Loss: 1.60677, F0 Loss: 6.14416, LM Loss: 2.74830, Gen Loss: 12.20167, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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+INFO:2025-04-09 16:52:23,567: Epoch [60/100], Step [30/103], Loss: 0.80672, Disc Loss: 0.00000, Dur Loss: 1.46912, CE Loss: 0.09028, Norm Loss: 1.67589, F0 Loss: 5.80984, LM Loss: 2.72437, Gen Loss: 12.79735, Sty Loss: 0.00000, Diff Loss: 0.00000, DiscLM Loss: 0.00000, GenLM Loss: 0.00000
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