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  1. LJSpeech2/config.yml +119 -0
  2. LJSpeech2/epoch_2nd_00001.pth +3 -0
  3. LJSpeech2/epoch_2nd_00002.pth +3 -0
  4. LJSpeech2/epoch_2nd_00003.pth +3 -0
  5. LJSpeech2/epoch_2nd_00004.pth +3 -0
  6. LJSpeech2/epoch_2nd_00005.pth +3 -0
  7. LJSpeech2/epoch_2nd_00006.pth +3 -0
  8. LJSpeech2/epoch_2nd_00007.pth +3 -0
  9. LJSpeech2/epoch_2nd_00008.pth +3 -0
  10. LJSpeech2/epoch_2nd_00009.pth +3 -0
  11. LJSpeech2/epoch_2nd_00010.pth +3 -0
  12. LJSpeech2/epoch_2nd_00011.pth +3 -0
  13. LJSpeech2/epoch_2nd_00012.pth +3 -0
  14. LJSpeech2/epoch_2nd_00013.pth +3 -0
  15. LJSpeech2/epoch_2nd_00014.pth +3 -0
  16. LJSpeech2/epoch_2nd_00015.pth +3 -0
  17. LJSpeech2/epoch_2nd_00016.pth +3 -0
  18. LJSpeech2/tensorboard/events.out.tfevents.1744094793.802eef79ca4b.3581.0 +3 -0
  19. LJSpeech2/tensorboard/events.out.tfevents.1744094827.802eef79ca4b.3771.0 +3 -0
  20. LJSpeech2/tensorboard/events.out.tfevents.1744095516.802eef79ca4b.6592.0 +3 -0
  21. LJSpeech2/tensorboard/events.out.tfevents.1744095753.802eef79ca4b.7610.0 +3 -0
  22. LJSpeech2/tensorboard/events.out.tfevents.1744097125.802eef79ca4b.13289.0 +3 -0
  23. LJSpeech2/train.log +250 -0
LJSpeech2/config.yml ADDED
@@ -0,0 +1,119 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ log_dir: "Models/LJSpeech"
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+ first_stage_path: "first_stage.pth"
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+ save_freq: 1
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+ log_interval: 10
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+ device: "cuda"
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+ epochs_1st: 20 # number of epochs for first stage training (pre-training)
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+ epochs_2nd: 100 # number of peochs for second stage training (joint training)
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+ # first epoch = 3x650
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+ # second epoch = 2x440
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+ # second stage 1st epoch = 2x300
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+ batch_size: 2
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+ max_len: 440 # maximum number of frames
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+ pretrained_model: "LJSpeech/epoch_2nd_00041.pth"
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+ second_stage_load_pretrained: true # set to true if the pre-trained model is for 2nd stage
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+ load_only_params: false # set to true if do not want to load epoch numbers and optimizer parameters
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+
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+ F0_path: "Utils/JDC/bst.t7"
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+ ASR_config: "Utils/ASR/config.yml"
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+ ASR_path: "Utils/ASR/epoch_00080.pth"
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+ PLBERT_dir: 'Utils/PLBERT/'
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+
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+ data_params:
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+ train_data: "Data/train_list.txt"
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+ val_data: "Data/val_list.txt"
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+ root_path: "/content/StyleTTS2/Dataset"
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+ OOD_data: "Data/OOD_texts.txt"
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+ min_length: 50 # sample until texts with this size are obtained for OOD texts
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+
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+ preprocess_params:
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+ sr: 24000
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+ spect_params:
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+ n_fft: 2048
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+ win_length: 1200
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+ hop_length: 300
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+
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+ model_params:
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+ multispeaker: false
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+
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+ dim_in: 64
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+ hidden_dim: 512
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+ max_conv_dim: 512
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+ n_layer: 3
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+ n_mels: 80
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+
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+ n_token: 185 # number of phoneme tokens
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+ max_dur: 50 # maximum duration of a single phoneme
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+ style_dim: 128 # style vector size
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+
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+ dropout: 0.2
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+
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+ # config for decoder
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+ decoder:
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+ type: 'istftnet' # either hifigan or istftnet
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+ resblock_kernel_sizes: [3,7,11]
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+ upsample_rates : [10, 6]
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+ upsample_initial_channel: 512
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+ resblock_dilation_sizes: [[1,3,5], [1,3,5], [1,3,5]]
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+ upsample_kernel_sizes: [20, 12]
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+ gen_istft_n_fft: 20
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+ gen_istft_hop_size: 5
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+
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+ # speech language model config
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+ slm:
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+ model: 'microsoft/wavlm-base-plus'
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+ sr: 16000 # sampling rate of SLM
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+ hidden: 768 # hidden size of SLM
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+ nlayers: 13 # number of layers of SLM
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+ initial_channel: 64 # initial channels of SLM discriminator head
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+
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+ # style diffusion model config
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+ diffusion:
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+ embedding_mask_proba: 0.1
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+ # transformer config
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+ transformer:
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+ num_layers: 3
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+ num_heads: 8
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+ head_features: 64
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+ multiplier: 2
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+
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+ # diffusion distribution config
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+ dist:
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+ sigma_data: 0.2 # placeholder for estimate_sigma_data set to false
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+ estimate_sigma_data: true # estimate sigma_data from the current batch if set to true
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+ mean: -3.0
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+ std: 1.0
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+
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+ loss_params:
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+ lambda_mel: 5. # mel reconstruction loss
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+ lambda_gen: 1. # generator loss
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+ lambda_slm: 1. # slm feature matching loss
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+
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+ lambda_mono: 1. # monotonic alignment loss (1st stage, TMA)
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+ lambda_s2s: 1. # sequence-to-sequence loss (1st stage, TMA)
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+ TMA_epoch: 2 # TMA starting epoch (1st stage)
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+
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+ lambda_F0: 1. # F0 reconstruction loss (2nd stage)
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+ lambda_norm: 1. # norm reconstruction loss (2nd stage)
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+ lambda_dur: 1. # duration loss (2nd stage)
99
+ lambda_ce: 20. # duration predictor probability output CE loss (2nd stage)
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+ lambda_sty: 1. # style reconstruction loss (2nd stage)
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+ lambda_diff: 1. # score matching loss (2nd stage)
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+
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+ diff_epoch: 0 # style diffusion starting epoch (2nd stage)
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+ joint_epoch: 0 # joint training starting epoch (2nd stage)
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+
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+ optimizer_params:
107
+ lr: 0.0001 # general learning rate
108
+ bert_lr: 0.00001 # learning rate for PLBERT
109
+ ft_lr: 0.00001 # learning rate for acoustic modules
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+
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+ slmadv_params:
112
+ min_len: 400 # minimum length of samples
113
+ max_len: 500 # maximum length of samples
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+ batch_percentage: 0.5 # to prevent out of memory, only use half of the original batch size
115
+ iter: 10 # update the discriminator every this iterations of generator update
116
+ thresh: 5 # gradient norm above which the gradient is scaled
117
+ scale: 0.01 # gradient scaling factor for predictors from SLM discriminators
118
+ sig: 1.5 # sigma for differentiable duration modeling
119
+
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+ INFO:2025-04-08 07:03:04,780: Epoch [1/20], Step [10/103], Mel Loss: 0.81859, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:03:19,166: Epoch [1/20], Step [20/103], Mel Loss: 0.82927, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:03:31,296: Epoch [1/20], Step [30/103], Mel Loss: 0.74072, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:03:46,058: Epoch [1/20], Step [40/103], Mel Loss: 0.74133, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:04:00,990: Epoch [1/20], Step [50/103], Mel Loss: 0.71818, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:04:14,013: Epoch [1/20], Step [60/103], Mel Loss: 0.67350, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:04:26,190: Epoch [1/20], Step [70/103], Mel Loss: 0.68301, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:04:37,894: Epoch [1/20], Step [80/103], Mel Loss: 0.65057, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:05:02,671: Epoch [1/20], Step [100/103], Mel Loss: 0.61556, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:05:22,861: Epoch [2/20], Step [10/103], Mel Loss: 0.49358, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:05:34,178: Epoch [2/20], Step [20/103], Mel Loss: 0.57564, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:10:08,721: Epoch [4/20], Step [10/103], Mel Loss: 0.45430, Gen Loss: 0.00000, Disc Loss: 0.00000, Mono Loss: 0.00000, S2S Loss: 0.00000, SLM Loss: 0.00000
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+ INFO:2025-04-08 07:46:32,403: Epoch [5/20], Step [50/103], Mel Loss: 0.57855, Gen Loss: 7.66125, Disc Loss: 3.51234, Mono Loss: 0.03033, S2S Loss: 9.22234, SLM Loss: 2.32016
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+ INFO:2025-04-08 07:47:58,994: Epoch [5/20], Step [80/103], Mel Loss: 0.55682, Gen Loss: 8.93874, Disc Loss: 3.26967, Mono Loss: 0.03113, S2S Loss: 8.57220, SLM Loss: 2.30214
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+ INFO:2025-04-08 07:48:28,723: Epoch [5/20], Step [90/103], Mel Loss: 0.52982, Gen Loss: 6.60169, Disc Loss: 3.65280, Mono Loss: 0.01575, S2S Loss: 8.33953, SLM Loss: 1.79693
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+ INFO:2025-04-08 07:48:57,597: Epoch [5/20], Step [100/103], Mel Loss: 0.53055, Gen Loss: 7.77236, Disc Loss: 3.43642, Mono Loss: 0.06410, S2S Loss: 9.31672, SLM Loss: 2.30190
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+ INFO:2025-04-08 07:49:45,510: Epoch [6/20], Step [10/103], Mel Loss: 0.48083, Gen Loss: 7.66215, Disc Loss: 3.42513, Mono Loss: 0.02802, S2S Loss: 7.75321, SLM Loss: 2.21261
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+ INFO:2025-04-08 07:50:14,575: Epoch [6/20], Step [20/103], Mel Loss: 0.52567, Gen Loss: 8.49114, Disc Loss: 3.39961, Mono Loss: 0.02141, S2S Loss: 9.00049, SLM Loss: 2.47240
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+ INFO:2025-04-08 07:50:44,209: Epoch [6/20], Step [30/103], Mel Loss: 0.53557, Gen Loss: 8.72469, Disc Loss: 3.20403, Mono Loss: 0.02927, S2S Loss: 9.71980, SLM Loss: 2.70285
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+ INFO:2025-04-08 07:51:15,822: Epoch [6/20], Step [40/103], Mel Loss: 0.57506, Gen Loss: 8.26430, Disc Loss: 3.22900, Mono Loss: 0.01926, S2S Loss: 8.83946, SLM Loss: 2.35359
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+ INFO:2025-04-08 07:51:45,270: Epoch [6/20], Step [50/103], Mel Loss: 0.49098, Gen Loss: 8.45104, Disc Loss: 3.20278, Mono Loss: 0.03436, S2S Loss: 9.67579, SLM Loss: 2.42169
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+ INFO:2025-04-08 07:52:15,583: Epoch [6/20], Step [60/103], Mel Loss: 0.55440, Gen Loss: 8.72381, Disc Loss: 3.27106, Mono Loss: 0.03020, S2S Loss: 9.62188, SLM Loss: 2.46713
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+ INFO:2025-04-08 07:52:44,506: Epoch [6/20], Step [70/103], Mel Loss: 0.50728, Gen Loss: 8.92718, Disc Loss: 3.12504, Mono Loss: 0.03109, S2S Loss: 9.27152, SLM Loss: 2.53892
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+ INFO:2025-04-08 07:53:13,589: Epoch [6/20], Step [80/103], Mel Loss: 0.48703, Gen Loss: 8.36931, Disc Loss: 3.20009, Mono Loss: 0.02382, S2S Loss: 8.01119, SLM Loss: 2.36536
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+ INFO:2025-04-08 07:53:42,670: Epoch [6/20], Step [90/103], Mel Loss: 0.53077, Gen Loss: 9.02031, Disc Loss: 3.22048, Mono Loss: 0.02095, S2S Loss: 9.38331, SLM Loss: 2.76395
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+ INFO:2025-04-08 07:54:12,610: Epoch [6/20], Step [100/103], Mel Loss: 0.54220, Gen Loss: 9.95699, Disc Loss: 3.03526, Mono Loss: 0.02686, S2S Loss: 9.13824, SLM Loss: 2.63512
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+ INFO:2025-04-08 07:55:09,196: Epoch [7/20], Step [10/103], Mel Loss: 0.50917, Gen Loss: 8.91836, Disc Loss: 3.33093, Mono Loss: 0.03629, S2S Loss: 9.66869, SLM Loss: 2.66034
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+ INFO:2025-04-08 07:55:39,019: Epoch [7/20], Step [20/103], Mel Loss: 0.53489, Gen Loss: 9.65344, Disc Loss: 3.17768, Mono Loss: 0.02133, S2S Loss: 9.10089, SLM Loss: 2.66822
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+ INFO:2025-04-08 07:56:07,988: Epoch [7/20], Step [30/103], Mel Loss: 0.52310, Gen Loss: 8.64969, Disc Loss: 3.16943, Mono Loss: 0.01838, S2S Loss: 9.41448, SLM Loss: 1.95544
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+ INFO:2025-04-08 07:56:37,595: Epoch [7/20], Step [40/103], Mel Loss: 0.53468, Gen Loss: 9.17001, Disc Loss: 3.25125, Mono Loss: 0.03092, S2S Loss: 8.98868, SLM Loss: 2.51017
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+ INFO:2025-04-08 07:57:05,181: Epoch [7/20], Step [50/103], Mel Loss: 0.49546, Gen Loss: 10.88764, Disc Loss: 2.94276, Mono Loss: 0.03578, S2S Loss: 8.85610, SLM Loss: 2.58659
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+ INFO:2025-04-08 07:57:33,167: Epoch [7/20], Step [60/103], Mel Loss: 0.52308, Gen Loss: 7.67758, Disc Loss: 3.27494, Mono Loss: 0.06111, S2S Loss: 8.64256, SLM Loss: 2.11392
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+ INFO:2025-04-08 07:58:01,756: Epoch [7/20], Step [70/103], Mel Loss: 0.52136, Gen Loss: 9.00049, Disc Loss: 3.14996, Mono Loss: 0.02581, S2S Loss: 9.42731, SLM Loss: 2.54858
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+ INFO:2025-04-08 07:58:33,108: Epoch [7/20], Step [80/103], Mel Loss: 0.55723, Gen Loss: 9.70933, Disc Loss: 3.29146, Mono Loss: 0.02842, S2S Loss: 8.80676, SLM Loss: 2.51396
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+ INFO:2025-04-08 07:59:03,845: Epoch [7/20], Step [90/103], Mel Loss: 0.52985, Gen Loss: 9.53477, Disc Loss: 3.07449, Mono Loss: 0.02225, S2S Loss: 9.16880, SLM Loss: 2.24859
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+ INFO:2025-04-08 07:59:33,235: Epoch [7/20], Step [100/103], Mel Loss: 0.50262, Gen Loss: 8.24243, Disc Loss: 3.24690, Mono Loss: 0.02338, S2S Loss: 9.22220, SLM Loss: 2.06582
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+ INFO:2025-04-08 08:00:26,075: Epoch [8/20], Step [10/103], Mel Loss: 0.47635, Gen Loss: 10.14488, Disc Loss: 2.87230, Mono Loss: 0.03009, S2S Loss: 8.94097, SLM Loss: 2.33557
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+ INFO:2025-04-08 08:00:54,851: Epoch [8/20], Step [20/103], Mel Loss: 0.52568, Gen Loss: 9.31440, Disc Loss: 3.28276, Mono Loss: 0.02442, S2S Loss: 9.56190, SLM Loss: 2.31252
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+ INFO:2025-04-08 08:01:25,792: Epoch [8/20], Step [30/103], Mel Loss: 0.57825, Gen Loss: 9.20916, Disc Loss: 3.10294, Mono Loss: 0.02963, S2S Loss: 9.36527, SLM Loss: 2.14606
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+ INFO:2025-04-08 08:01:56,443: Epoch [8/20], Step [40/103], Mel Loss: 0.52473, Gen Loss: 9.70663, Disc Loss: 2.97651, Mono Loss: 0.01875, S2S Loss: 8.75575, SLM Loss: 2.07758
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+ INFO:2025-04-08 08:02:27,460: Epoch [8/20], Step [50/103], Mel Loss: 0.52984, Gen Loss: 10.52637, Disc Loss: 2.97690, Mono Loss: 0.02331, S2S Loss: 9.22262, SLM Loss: 2.40289
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+ INFO:2025-04-08 08:02:58,639: Epoch [8/20], Step [60/103], Mel Loss: 0.54287, Gen Loss: 10.53588, Disc Loss: 2.92730, Mono Loss: 0.03419, S2S Loss: 10.03249, SLM Loss: 2.54925
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+ INFO:2025-04-08 08:03:26,110: Epoch [8/20], Step [70/103], Mel Loss: 0.48096, Gen Loss: 10.89713, Disc Loss: 3.03601, Mono Loss: 0.02415, S2S Loss: 9.64552, SLM Loss: 2.37251
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+ INFO:2025-04-08 08:03:56,887: Epoch [8/20], Step [80/103], Mel Loss: 0.57070, Gen Loss: 9.48727, Disc Loss: 3.17551, Mono Loss: 0.01867, S2S Loss: 10.41849, SLM Loss: 2.70272
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+ INFO:2025-04-08 08:04:25,218: Epoch [8/20], Step [90/103], Mel Loss: 0.52289, Gen Loss: 10.90447, Disc Loss: 2.79585, Mono Loss: 0.02313, S2S Loss: 8.84588, SLM Loss: 2.53098
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+ INFO:2025-04-08 08:04:53,421: Epoch [8/20], Step [100/103], Mel Loss: 0.51124, Gen Loss: 9.74290, Disc Loss: 3.12712, Mono Loss: 0.06668, S2S Loss: 7.46827, SLM Loss: 2.43939
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+ INFO:2025-04-08 08:05:42,970: Epoch [9/20], Step [10/103], Mel Loss: 0.50208, Gen Loss: 9.49904, Disc Loss: 3.12858, Mono Loss: 0.03302, S2S Loss: 9.30832, SLM Loss: 2.72513
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+ INFO:2025-04-08 08:06:13,035: Epoch [9/20], Step [20/103], Mel Loss: 0.55901, Gen Loss: 8.99561, Disc Loss: 3.18602, Mono Loss: 0.02926, S2S Loss: 9.44040, SLM Loss: 2.23999
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+ INFO:2025-04-08 08:06:43,329: Epoch [9/20], Step [30/103], Mel Loss: 0.50648, Gen Loss: 9.82029, Disc Loss: 3.06736, Mono Loss: 0.01821, S2S Loss: 9.79279, SLM Loss: 2.34052
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+ INFO:2025-04-08 08:07:15,842: Epoch [9/20], Step [40/103], Mel Loss: 0.54992, Gen Loss: 9.83328, Disc Loss: 3.16283, Mono Loss: 0.02524, S2S Loss: 9.59687, SLM Loss: 2.46876
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+ INFO:2025-04-08 08:07:45,192: Epoch [9/20], Step [50/103], Mel Loss: 0.51724, Gen Loss: 9.39574, Disc Loss: 3.16227, Mono Loss: 0.02612, S2S Loss: 9.73860, SLM Loss: 2.41920
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+ INFO:2025-04-08 08:08:15,197: Epoch [9/20], Step [60/103], Mel Loss: 0.57974, Gen Loss: 10.15218, Disc Loss: 2.98436, Mono Loss: 0.03661, S2S Loss: 8.64873, SLM Loss: 2.43607
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+ INFO:2025-04-08 08:08:44,142: Epoch [9/20], Step [70/103], Mel Loss: 0.55930, Gen Loss: 10.43044, Disc Loss: 2.95611, Mono Loss: 0.02739, S2S Loss: 9.19493, SLM Loss: 2.75417
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+ INFO:2025-04-08 08:09:14,853: Epoch [9/20], Step [80/103], Mel Loss: 0.51564, Gen Loss: 10.79333, Disc Loss: 3.09459, Mono Loss: 0.02897, S2S Loss: 9.38851, SLM Loss: 2.51272
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+ INFO:2025-04-08 08:09:44,676: Epoch [9/20], Step [90/103], Mel Loss: 0.51525, Gen Loss: 10.51115, Disc Loss: 2.89443, Mono Loss: 0.02726, S2S Loss: 8.59336, SLM Loss: 2.44654
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+ INFO:2025-04-08 08:10:14,476: Epoch [9/20], Step [100/103], Mel Loss: 0.57132, Gen Loss: 9.23659, Disc Loss: 3.25806, Mono Loss: 0.02993, S2S Loss: 8.90989, SLM Loss: 2.27048
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+ INFO:2025-04-08 08:11:02,561: Epoch [10/20], Step [10/103], Mel Loss: 0.49362, Gen Loss: 10.26631, Disc Loss: 3.23854, Mono Loss: 0.02512, S2S Loss: 8.82660, SLM Loss: 2.49320
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+ INFO:2025-04-08 08:11:33,209: Epoch [10/20], Step [20/103], Mel Loss: 0.52491, Gen Loss: 10.04535, Disc Loss: 3.22351, Mono Loss: 0.02026, S2S Loss: 8.98077, SLM Loss: 2.35060
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+ INFO:2025-04-08 08:12:02,937: Epoch [10/20], Step [30/103], Mel Loss: 0.55005, Gen Loss: 8.93310, Disc Loss: 3.23989, Mono Loss: 0.04920, S2S Loss: 9.80082, SLM Loss: 2.69840
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+ INFO:2025-04-08 08:12:32,393: Epoch [10/20], Step [40/103], Mel Loss: 0.55696, Gen Loss: 9.60905, Disc Loss: 2.95100, Mono Loss: 0.03444, S2S Loss: 9.72341, SLM Loss: 2.35567
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+ INFO:2025-04-08 08:13:01,609: Epoch [10/20], Step [50/103], Mel Loss: 0.53179, Gen Loss: 8.95951, Disc Loss: 3.21442, Mono Loss: 0.02778, S2S Loss: 9.25448, SLM Loss: 2.70872
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+ INFO:2025-04-08 08:13:32,692: Epoch [10/20], Step [60/103], Mel Loss: 0.53109, Gen Loss: 10.07314, Disc Loss: 3.09916, Mono Loss: 0.02676, S2S Loss: 9.31787, SLM Loss: 2.49877
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+ INFO:2025-04-08 08:14:03,471: Epoch [10/20], Step [70/103], Mel Loss: 0.55903, Gen Loss: 9.50516, Disc Loss: 3.20336, Mono Loss: 0.02327, S2S Loss: 8.58833, SLM Loss: 2.40215
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+ INFO:2025-04-08 08:14:35,726: Epoch [10/20], Step [80/103], Mel Loss: 0.54109, Gen Loss: 8.32451, Disc Loss: 3.61209, Mono Loss: 0.02411, S2S Loss: 8.97007, SLM Loss: 2.58966
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+ INFO:2025-04-08 08:15:04,592: Epoch [10/20], Step [90/103], Mel Loss: 0.54929, Gen Loss: 9.96324, Disc Loss: 3.07253, Mono Loss: 0.03570, S2S Loss: 8.37398, SLM Loss: 2.51777
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+ INFO:2025-04-08 08:15:32,234: Epoch [10/20], Step [100/103], Mel Loss: 0.53400, Gen Loss: 9.86092, Disc Loss: 2.97601, Mono Loss: 0.02817, S2S Loss: 9.33986, SLM Loss: 2.61378
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+ INFO:2025-04-08 08:16:32,001: Epoch [11/20], Step [10/103], Mel Loss: 0.49536, Gen Loss: 10.71722, Disc Loss: 2.92297, Mono Loss: 0.02399, S2S Loss: 8.85662, SLM Loss: 2.66185
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+ INFO:2025-04-08 08:17:02,801: Epoch [11/20], Step [20/103], Mel Loss: 0.57807, Gen Loss: 9.09804, Disc Loss: 3.45777, Mono Loss: 0.03492, S2S Loss: 9.25450, SLM Loss: 2.71743
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+ INFO:2025-04-08 08:17:33,188: Epoch [11/20], Step [30/103], Mel Loss: 0.55097, Gen Loss: 9.75080, Disc Loss: 3.09504, Mono Loss: 0.03050, S2S Loss: 9.20193, SLM Loss: 2.34097
187
+ INFO:2025-04-08 08:18:00,609: Epoch [11/20], Step [40/103], Mel Loss: 0.53482, Gen Loss: 10.01909, Disc Loss: 2.92630, Mono Loss: 0.02968, S2S Loss: 9.00089, SLM Loss: 2.42251
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+ INFO:2025-04-08 08:18:32,277: Epoch [11/20], Step [50/103], Mel Loss: 0.56642, Gen Loss: 10.30224, Disc Loss: 3.07869, Mono Loss: 0.03438, S2S Loss: 9.59952, SLM Loss: 2.58724
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+ INFO:2025-04-08 08:19:01,591: Epoch [11/20], Step [60/103], Mel Loss: 0.51046, Gen Loss: 9.40480, Disc Loss: 3.28612, Mono Loss: 0.02036, S2S Loss: 9.65861, SLM Loss: 2.25478
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+ INFO:2025-04-08 08:19:33,345: Epoch [11/20], Step [70/103], Mel Loss: 0.56228, Gen Loss: 10.14199, Disc Loss: 2.91990, Mono Loss: 0.02708, S2S Loss: 8.69326, SLM Loss: 2.36586
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+ INFO:2025-04-08 08:20:02,830: Epoch [11/20], Step [80/103], Mel Loss: 0.56440, Gen Loss: 10.87238, Disc Loss: 2.96899, Mono Loss: 0.03023, S2S Loss: 9.27634, SLM Loss: 2.54711
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+ INFO:2025-04-08 08:20:31,493: Epoch [11/20], Step [90/103], Mel Loss: 0.50655, Gen Loss: 8.65928, Disc Loss: 3.27136, Mono Loss: 0.02978, S2S Loss: 9.04466, SLM Loss: 2.09103
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+ INFO:2025-04-08 08:21:02,913: Epoch [11/20], Step [100/103], Mel Loss: 0.54438, Gen Loss: 11.01154, Disc Loss: 3.09091, Mono Loss: 0.01909, S2S Loss: 8.91334, SLM Loss: 2.30017
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+ INFO:2025-04-08 08:21:50,604: Epoch [12/20], Step [10/103], Mel Loss: 0.49073, Gen Loss: 11.51495, Disc Loss: 2.98625, Mono Loss: 0.02672, S2S Loss: 9.09674, SLM Loss: 2.64736
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+ INFO:2025-04-08 08:22:21,387: Epoch [12/20], Step [20/103], Mel Loss: 0.58592, Gen Loss: 11.30002, Disc Loss: 2.83487, Mono Loss: 0.02544, S2S Loss: 9.28760, SLM Loss: 2.49029
196
+ INFO:2025-04-08 08:22:52,398: Epoch [12/20], Step [30/103], Mel Loss: 0.53822, Gen Loss: 9.60938, Disc Loss: 2.99374, Mono Loss: 0.02392, S2S Loss: 8.92479, SLM Loss: 2.35183
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+ INFO:2025-04-08 08:23:22,463: Epoch [12/20], Step [40/103], Mel Loss: 0.55390, Gen Loss: 10.81399, Disc Loss: 2.95504, Mono Loss: 0.03134, S2S Loss: 9.56592, SLM Loss: 2.67421
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+ INFO:2025-04-08 08:23:52,297: Epoch [12/20], Step [50/103], Mel Loss: 0.53077, Gen Loss: 10.57183, Disc Loss: 3.02397, Mono Loss: 0.01929, S2S Loss: 8.86066, SLM Loss: 2.30198
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+ INFO:2025-04-08 08:24:21,418: Epoch [12/20], Step [60/103], Mel Loss: 0.46502, Gen Loss: 10.36081, Disc Loss: 2.94193, Mono Loss: 0.03053, S2S Loss: 9.65964, SLM Loss: 2.52751
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+ INFO:2025-04-08 08:24:51,523: Epoch [12/20], Step [70/103], Mel Loss: 0.58425, Gen Loss: 11.20108, Disc Loss: 3.00989, Mono Loss: 0.03020, S2S Loss: 9.77755, SLM Loss: 2.81063
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+ INFO:2025-04-08 08:25:21,539: Epoch [12/20], Step [80/103], Mel Loss: 0.52807, Gen Loss: 10.18461, Disc Loss: 3.07765, Mono Loss: 0.02979, S2S Loss: 9.36164, SLM Loss: 2.30675
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+ INFO:2025-04-08 08:25:51,061: Epoch [12/20], Step [90/103], Mel Loss: 0.53090, Gen Loss: 8.85147, Disc Loss: 3.22414, Mono Loss: 0.01468, S2S Loss: 9.01282, SLM Loss: 1.88423
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+ INFO:2025-04-08 08:26:19,745: Epoch [12/20], Step [100/103], Mel Loss: 0.49383, Gen Loss: 9.00480, Disc Loss: 3.13736, Mono Loss: 0.02012, S2S Loss: 9.04560, SLM Loss: 2.24398
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+ INFO:2025-04-08 08:27:17,015: Epoch [13/20], Step [10/103], Mel Loss: 0.51033, Gen Loss: 9.70886, Disc Loss: 3.09212, Mono Loss: 0.06771, S2S Loss: 8.56620, SLM Loss: 2.07558
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+ INFO:2025-04-08 08:27:47,699: Epoch [13/20], Step [20/103], Mel Loss: 0.57333, Gen Loss: 9.88636, Disc Loss: 3.05223, Mono Loss: 0.01768, S2S Loss: 9.81288, SLM Loss: 2.19996
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+ INFO:2025-04-08 08:28:16,035: Epoch [13/20], Step [30/103], Mel Loss: 0.51174, Gen Loss: 10.27728, Disc Loss: 3.15014, Mono Loss: 0.02425, S2S Loss: 8.84822, SLM Loss: 2.44943
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+ INFO:2025-04-08 08:28:44,573: Epoch [13/20], Step [40/103], Mel Loss: 0.53713, Gen Loss: 11.11063, Disc Loss: 2.99001, Mono Loss: 0.01997, S2S Loss: 9.36377, SLM Loss: 2.58332
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+ INFO:2025-04-08 08:29:15,969: Epoch [13/20], Step [50/103], Mel Loss: 0.56985, Gen Loss: 11.50134, Disc Loss: 2.95779, Mono Loss: 0.02750, S2S Loss: 8.01778, SLM Loss: 2.58996
209
+ INFO:2025-04-08 08:29:46,043: Epoch [13/20], Step [60/103], Mel Loss: 0.49640, Gen Loss: 10.51007, Disc Loss: 3.00898, Mono Loss: 0.03763, S2S Loss: 9.08601, SLM Loss: 2.36449
210
+ INFO:2025-04-08 08:30:15,966: Epoch [13/20], Step [70/103], Mel Loss: 0.53439, Gen Loss: 10.67003, Disc Loss: 2.88294, Mono Loss: 0.03144, S2S Loss: 9.09931, SLM Loss: 2.35357
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+ INFO:2025-04-08 08:30:44,747: Epoch [13/20], Step [80/103], Mel Loss: 0.51032, Gen Loss: 11.55919, Disc Loss: 2.82424, Mono Loss: 0.02886, S2S Loss: 9.97454, SLM Loss: 2.37125
212
+ INFO:2025-04-08 08:31:11,655: Epoch [13/20], Step [90/103], Mel Loss: 0.48304, Gen Loss: 10.11164, Disc Loss: 2.88449, Mono Loss: 0.02785, S2S Loss: 8.81471, SLM Loss: 2.61103
213
+ INFO:2025-04-08 08:31:41,344: Epoch [13/20], Step [100/103], Mel Loss: 0.55733, Gen Loss: 10.54147, Disc Loss: 2.92487, Mono Loss: 0.02765, S2S Loss: 9.22355, SLM Loss: 2.40088
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+ INFO:2025-04-08 08:32:28,191: Epoch [14/20], Step [10/103], Mel Loss: 0.48679, Gen Loss: 10.97697, Disc Loss: 3.04544, Mono Loss: 0.08288, S2S Loss: 10.02730, SLM Loss: 2.87772
215
+ INFO:2025-04-08 08:32:58,132: Epoch [14/20], Step [20/103], Mel Loss: 0.53833, Gen Loss: 10.00569, Disc Loss: 2.90650, Mono Loss: 0.02668, S2S Loss: 9.40978, SLM Loss: 2.45425
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+ INFO:2025-04-08 08:33:27,509: Epoch [14/20], Step [30/103], Mel Loss: 0.51358, Gen Loss: 11.26872, Disc Loss: 2.83056, Mono Loss: 0.02017, S2S Loss: 9.08708, SLM Loss: 2.39328
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+ INFO:2025-04-08 08:33:58,002: Epoch [14/20], Step [40/103], Mel Loss: 0.58486, Gen Loss: 11.39672, Disc Loss: 2.83288, Mono Loss: 0.02482, S2S Loss: 9.52349, SLM Loss: 2.44471
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+ INFO:2025-04-08 08:34:27,446: Epoch [14/20], Step [50/103], Mel Loss: 0.51577, Gen Loss: 11.77888, Disc Loss: 2.88486, Mono Loss: 0.02547, S2S Loss: 9.29551, SLM Loss: 2.54460
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+ INFO:2025-04-08 08:34:56,878: Epoch [14/20], Step [60/103], Mel Loss: 0.48517, Gen Loss: 10.46085, Disc Loss: 2.94192, Mono Loss: 0.01802, S2S Loss: 9.98016, SLM Loss: 2.24075
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+ INFO:2025-04-08 08:35:26,609: Epoch [14/20], Step [70/103], Mel Loss: 0.50985, Gen Loss: 11.94449, Disc Loss: 2.85057, Mono Loss: 0.02982, S2S Loss: 8.89303, SLM Loss: 2.29036
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+ INFO:2025-04-08 08:35:57,088: Epoch [14/20], Step [80/103], Mel Loss: 0.51343, Gen Loss: 9.77956, Disc Loss: 3.05736, Mono Loss: 0.03129, S2S Loss: 9.70241, SLM Loss: 2.71703
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+ INFO:2025-04-08 08:36:27,590: Epoch [14/20], Step [90/103], Mel Loss: 0.52966, Gen Loss: 11.02503, Disc Loss: 3.01769, Mono Loss: 0.01817, S2S Loss: 9.35313, SLM Loss: 2.36629
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+ INFO:2025-04-08 08:36:57,566: Epoch [14/20], Step [100/103], Mel Loss: 0.56561, Gen Loss: 10.20230, Disc Loss: 3.04502, Mono Loss: 0.03859, S2S Loss: 9.01597, SLM Loss: 2.34670
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+ INFO:2025-04-08 08:37:46,167: Epoch [15/20], Step [10/103], Mel Loss: 0.45768, Gen Loss: 10.67246, Disc Loss: 3.44019, Mono Loss: 0.03125, S2S Loss: 8.83369, SLM Loss: 2.24783
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+ INFO:2025-04-08 08:38:14,480: Epoch [15/20], Step [20/103], Mel Loss: 0.50393, Gen Loss: 8.84566, Disc Loss: 3.30467, Mono Loss: 0.08037, S2S Loss: 9.64069, SLM Loss: 2.06830
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+ INFO:2025-04-08 08:38:44,253: Epoch [15/20], Step [30/103], Mel Loss: 0.56937, Gen Loss: 9.40467, Disc Loss: 3.36318, Mono Loss: 0.02438, S2S Loss: 8.46791, SLM Loss: 2.41383
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+ INFO:2025-04-08 08:39:15,994: Epoch [15/20], Step [40/103], Mel Loss: 0.52749, Gen Loss: 10.61666, Disc Loss: 2.94187, Mono Loss: 0.01860, S2S Loss: 8.77241, SLM Loss: 2.11191
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+ INFO:2025-04-08 08:39:45,117: Epoch [15/20], Step [50/103], Mel Loss: 0.53285, Gen Loss: 12.14008, Disc Loss: 2.63598, Mono Loss: 0.02845, S2S Loss: 9.46792, SLM Loss: 2.47589
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+ INFO:2025-04-08 08:40:16,464: Epoch [15/20], Step [60/103], Mel Loss: 0.59858, Gen Loss: 10.94646, Disc Loss: 3.19556, Mono Loss: 0.02260, S2S Loss: 8.81136, SLM Loss: 2.56512
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+ INFO:2025-04-08 08:40:47,683: Epoch [15/20], Step [70/103], Mel Loss: 0.52515, Gen Loss: 11.37331, Disc Loss: 2.91220, Mono Loss: 0.02211, S2S Loss: 8.55007, SLM Loss: 2.35048
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+ INFO:2025-04-08 08:41:18,109: Epoch [15/20], Step [80/103], Mel Loss: 0.53163, Gen Loss: 11.54497, Disc Loss: 3.01912, Mono Loss: 0.02889, S2S Loss: 9.35895, SLM Loss: 2.48838
232
+ INFO:2025-04-08 08:41:47,181: Epoch [15/20], Step [90/103], Mel Loss: 0.53661, Gen Loss: 10.52286, Disc Loss: 3.05483, Mono Loss: 0.01953, S2S Loss: 8.71744, SLM Loss: 2.38183
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+ INFO:2025-04-08 08:42:16,099: Epoch [15/20], Step [100/103], Mel Loss: 0.52246, Gen Loss: 10.84660, Disc Loss: 2.88400, Mono Loss: 0.02786, S2S Loss: 9.32276, SLM Loss: 2.30146
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+ INFO:2025-04-08 08:43:05,509: Epoch [16/20], Step [10/103], Mel Loss: 0.45546, Gen Loss: 11.65419, Disc Loss: 2.73811, Mono Loss: 0.02804, S2S Loss: 9.16066, SLM Loss: 2.36047
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+ INFO:2025-04-08 08:43:35,707: Epoch [16/20], Step [20/103], Mel Loss: 0.53384, Gen Loss: 11.62113, Disc Loss: 2.73628, Mono Loss: 0.02293, S2S Loss: 9.62011, SLM Loss: 2.48959
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+ INFO:2025-04-08 08:44:06,696: Epoch [16/20], Step [30/103], Mel Loss: 0.50715, Gen Loss: 11.20114, Disc Loss: 2.85169, Mono Loss: 0.02461, S2S Loss: 9.08679, SLM Loss: 2.38033
237
+ INFO:2025-04-08 08:45:08,856: Epoch [16/20], Step [50/103], Mel Loss: 0.52872, Gen Loss: 10.64911, Disc Loss: 3.15440, Mono Loss: 0.03081, S2S Loss: 8.59962, SLM Loss: 2.48006
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+ INFO:2025-04-08 08:45:39,517: Epoch [16/20], Step [60/103], Mel Loss: 0.52866, Gen Loss: 10.06726, Disc Loss: 3.02149, Mono Loss: 0.03284, S2S Loss: 8.72974, SLM Loss: 2.61668
239
+ INFO:2025-04-08 08:46:09,768: Epoch [16/20], Step [70/103], Mel Loss: 0.56875, Gen Loss: 12.30837, Disc Loss: 2.82725, Mono Loss: 0.02765, S2S Loss: 9.57608, SLM Loss: 2.72777
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+ INFO:2025-04-08 08:46:39,989: Epoch [16/20], Step [80/103], Mel Loss: 0.50420, Gen Loss: 9.89729, Disc Loss: 3.10478, Mono Loss: 0.03081, S2S Loss: 8.26178, SLM Loss: 2.07380
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+ INFO:2025-04-08 08:47:09,353: Epoch [16/20], Step [90/103], Mel Loss: 0.53142, Gen Loss: 11.13516, Disc Loss: 2.97617, Mono Loss: 0.03201, S2S Loss: 9.07565, SLM Loss: 2.52055
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+ INFO:2025-04-08 08:47:37,601: Epoch [16/20], Step [100/103], Mel Loss: 0.52338, Gen Loss: 11.05452, Disc Loss: 2.92444, Mono Loss: 0.02727, S2S Loss: 8.79869, SLM Loss: 2.41406
243
+ INFO:2025-04-08 08:48:27,109: Epoch [17/20], Step [10/103], Mel Loss: 0.52296, Gen Loss: 11.27393, Disc Loss: 2.70283, Mono Loss: 0.03058, S2S Loss: 9.87901, SLM Loss: 2.76502
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+ INFO:2025-04-08 08:48:56,576: Epoch [17/20], Step [20/103], Mel Loss: 0.51360, Gen Loss: 9.09351, Disc Loss: 3.16996, Mono Loss: 0.01815, S2S Loss: 9.92857, SLM Loss: 2.32089
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+ INFO:2025-04-08 08:49:26,377: Epoch [17/20], Step [30/103], Mel Loss: 0.54060, Gen Loss: 11.10417, Disc Loss: 2.78104, Mono Loss: 0.02516, S2S Loss: 9.02678, SLM Loss: 2.31283
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+ INFO:2025-04-08 08:49:56,075: Epoch [17/20], Step [40/103], Mel Loss: 0.48604, Gen Loss: 10.31983, Disc Loss: 2.90373, Mono Loss: 0.02884, S2S Loss: 9.88598, SLM Loss: 2.19774
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+ INFO:2025-04-08 08:50:27,307: Epoch [17/20], Step [50/103], Mel Loss: 0.55780, Gen Loss: 12.34787, Disc Loss: 2.90918, Mono Loss: 0.01913, S2S Loss: 8.73725, SLM Loss: 2.57418
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+ INFO:2025-04-08 08:50:57,113: Epoch [17/20], Step [60/103], Mel Loss: 0.58400, Gen Loss: 11.57838, Disc Loss: 2.85144, Mono Loss: 0.02735, S2S Loss: 9.18569, SLM Loss: 2.68501
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+ INFO:2025-04-08 08:51:25,704: Epoch [17/20], Step [70/103], Mel Loss: 0.52736, Gen Loss: 10.74586, Disc Loss: 2.83872, Mono Loss: 0.03398, S2S Loss: 9.48378, SLM Loss: 2.21764
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+ INFO:2025-04-08 08:51:56,141: Epoch [17/20], Step [80/103], Mel Loss: 0.53333, Gen Loss: 10.57523, Disc Loss: 3.32750, Mono Loss: 0.02451, S2S Loss: 8.46944, SLM Loss: 2.62244