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  1. .gitattributes +14 -0
  2. LJSpeech6/config.yml +21 -118
  3. LJSpeech6/epoch_2nd_00173/epoch_2nd_00180.wav +3 -0
  4. LJSpeech6/epoch_2nd_00173/epoch_2nd_00181.wav +3 -0
  5. LJSpeech6/epoch_2nd_00173/epoch_2nd_00182.wav +3 -0
  6. LJSpeech6/epoch_2nd_00173/epoch_2nd_00183.wav +3 -0
  7. LJSpeech6/epoch_2nd_00173/epoch_2nd_00184.wav +3 -0
  8. LJSpeech6/epoch_2nd_00173/epoch_2nd_00185.wav +3 -0
  9. LJSpeech6/epoch_2nd_00173/epoch_2nd_00186.wav +3 -0
  10. LJSpeech6/epoch_2nd_00173/epoch_2nd_00187.wav +3 -0
  11. LJSpeech6/epoch_2nd_00173/epoch_2nd_00188.wav +3 -0
  12. LJSpeech6/epoch_2nd_00173/epoch_2nd_00189.wav +3 -0
  13. LJSpeech6/epoch_2nd_00173/epoch_2nd_00190.wav +3 -0
  14. LJSpeech6/epoch_2nd_00173/epoch_2nd_00191.wav +3 -0
  15. LJSpeech6/epoch_2nd_00173/epoch_2nd_00192.wav +3 -0
  16. LJSpeech6/epoch_2nd_00173/epoch_2nd_00193.wav +3 -0
  17. LJSpeech6/epoch_2nd_00192.pth +3 -0
  18. LJSpeech6/tensorboard/events.out.tfevents.1745046914.ea6abcfaa0b7.162.0 +3 -0
  19. LJSpeech6/train.log +74 -90
.gitattributes CHANGED
@@ -455,3 +455,17 @@ LJSpeech6/epoch_2nd_00153/epoch_2nd_00169.wav filter=lfs diff=lfs merge=lfs -tex
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  LJSpeech6/epoch_2nd_00153/epoch_2nd_00170.wav filter=lfs diff=lfs merge=lfs -text
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  LJSpeech6/epoch_2nd_00153/epoch_2nd_00171.wav filter=lfs diff=lfs merge=lfs -text
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  LJSpeech6/epoch_2nd_00153/epoch_2nd_00172.wav filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  LJSpeech6/epoch_2nd_00153/epoch_2nd_00172.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00181.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00182.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00183.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00184.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00185.wav filter=lfs diff=lfs merge=lfs -text
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+ LJSpeech6/epoch_2nd_00173/epoch_2nd_00190.wav filter=lfs diff=lfs merge=lfs -text
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LJSpeech6/config.yml CHANGED
@@ -1,118 +1,21 @@
1
- log_dir: "Models/LJSpeech6"
2
- first_stage_path: "first_stage.pth"
3
- save_freq: 1
4
- log_interval: 10
5
- device: "cuda"
6
- epochs_1st: 2000 # number of epochs for first stage training (pre-training)
7
- epochs_2nd: 300 # number of peochs for second stage training (joint training)
8
- # first epoch = 3x650
9
- # second epoch = 2x440
10
- # second stage 1st epoch = 2x300
11
- batch_size: 2
12
- max_len: 550 # maximum number of frames
13
- pretrained_model: "LJSpeech6/epoch_2nd_00171.pth"
14
- second_stage_load_pretrained: true # set to true if the pre-trained model is for 2nd stage
15
- load_only_params: false # set to true if do not want to load epoch numbers and optimizer parameters
16
-
17
- F0_path: "Utils/JDC/bst.t7"
18
- ASR_config: "Utils/ASR/config.yml"
19
- ASR_path: "Utils/ASR/epoch_00080.pth"
20
- PLBERT_dir: 'Utils/PLBERT/'
21
-
22
- data_params:
23
- train_data: "Data/train_list.txt"
24
- val_data: "Data/val_list.txt"
25
- root_path: "/content/StyleTTS2/Dataset"
26
- OOD_data: "Data/OOD_texts.txt"
27
- min_length: 50 # sample until texts with this size are obtained for OOD texts
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-
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- preprocess_params:
30
- 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:
37
- multispeaker: false
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-
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- dim_in: 64
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- hidden_dim: 512
41
- max_conv_dim: 512
42
- n_layer: 3
43
- n_mels: 80
44
-
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- n_token: 185 # number of phoneme tokens
46
- max_dur: 50 # maximum duration of a single phoneme
47
- style_dim: 128 # style vector size
48
-
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- dropout: 0.2
50
-
51
- # config for decoder
52
- decoder:
53
- type: 'istftnet' # either hifigan or istftnet
54
- resblock_kernel_sizes: [3,7,11]
55
- upsample_rates : [10, 6]
56
- upsample_initial_channel: 512
57
- resblock_dilation_sizes: [[1,3,5], [1,3,5], [1,3,5]]
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- upsample_kernel_sizes: [20, 12]
59
- 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
63
- slm:
64
- model: 'microsoft/wavlm-base-plus'
65
- sr: 16000 # sampling rate of SLM
66
- hidden: 768 # hidden size of SLM
67
- nlayers: 13 # number of layers of SLM
68
- 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
74
- 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
85
- 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)
94
- TMA_epoch: 2 # TMA starting epoch (1st stage)
95
-
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- lambda_F0: 1. # F0 reconstruction loss (2nd stage)
97
- lambda_norm: 1. # norm reconstruction loss (2nd stage)
98
- lambda_dur: 1. # duration loss (2nd stage)
99
- lambda_ce: 20. # duration predictor probability output CE loss (2nd stage)
100
- lambda_sty: 1. # style reconstruction loss (2nd stage)
101
- lambda_diff: 1. # score matching loss (2nd stage)
102
-
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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)
105
-
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- optimizer_params:
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- 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
110
-
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- slmadv_params:
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- min_len: 400 # minimum length of samples
113
- max_len: 500 # maximum length of samples
114
- batch_percentage: 1 # 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
 
1
+ {ASR_config: Utils/ASR/config.yml, ASR_path: Utils/ASR/epoch_00080.pth, F0_path: Utils/JDC/bst.t7,
2
+ PLBERT_dir: Utils/PLBERT/, batch_size: 4, data_params: {OOD_data: Data/OOD_texts.txt,
3
+ min_length: 50, root_path: /content/StyleTTS2/Dataset, train_data: Data/train_list.txt,
4
+ val_data: Data/val_list.txt}, device: cuda, epochs_1st: 20, epochs_2nd: 300, first_stage_path: first_stage.pth,
5
+ load_only_params: false, log_dir: Models/LJSpeech6, log_interval: 10, loss_params: {
6
+ TMA_epoch: 10000, diff_epoch: 0, joint_epoch: 0, lambda_F0: 1.0, lambda_ce: 20.0,
7
+ lambda_diff: 1.0, lambda_dur: 1.0, lambda_gen: 1.0, lambda_mel: 5.0, lambda_mono: 1.0,
8
+ lambda_norm: 1.0, lambda_s2s: 1.0, lambda_slm: 1.0, lambda_sty: 1.0}, max_len: 295,
9
+ model_params: {decoder: {gen_istft_hop_size: 5, gen_istft_n_fft: 20, resblock_dilation_sizes: [
10
+ [1, 3, 5], [1, 3, 5], [1, 3, 5]], resblock_kernel_sizes: [3, 7, 11], type: istftnet,
11
+ upsample_initial_channel: 512, upsample_kernel_sizes: [20, 12], upsample_rates: [
12
+ 10, 6]}, diffusion: {dist: {estimate_sigma_data: true, mean: -3.0, sigma_data: .nan,
13
+ std: 1.0}, embedding_mask_proba: 0.1, transformer: {head_features: 64, multiplier: 2,
14
+ num_heads: 8, num_layers: 3}}, dim_in: 64, dropout: 0.2, hidden_dim: 512,
15
+ max_conv_dim: 512, max_dur: 50, multispeaker: false, n_layer: 3, n_mels: 80, n_token: 185,
16
+ slm: {hidden: 768, initial_channel: 64, model: microsoft/wavlm-base-plus, nlayers: 13,
17
+ sr: 16000}, style_dim: 128}, optimizer_params: {bert_lr: 1.0e-05, ft_lr: 1.0e-05,
18
+ lr: 0.0001}, preprocess_params: {spect_params: {hop_length: 300, n_fft: 2048,
19
+ win_length: 1200}, sr: 24000}, pretrained_model: LJSpeech6/epoch_2nd_00172.pth,
20
+ save_freq: 1, second_stage_load_pretrained: true, slmadv_params: {batch_percentage: 1,
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+ iter: 10, max_len: 500, min_len: 400, scale: 0.01, sig: 1.5, thresh: 5}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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LJSpeech6/train.log CHANGED
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1
- INFO:2025-04-19 06:05:32,373: Epoch [172/2000], Step [10/103], Mel Loss: 0.49075, Gen Loss: 19.03080, Disc Loss: 1.87808, Mono Loss: 0.02912, S2S Loss: 2.88279, SLM Loss: 2.22280
2
- INFO:2025-04-19 06:06:00,507: Epoch [172/2000], Step [20/103], Mel Loss: 0.46514, Gen Loss: 16.48240, Disc Loss: 2.28683, Mono Loss: 0.08921, S2S Loss: 3.05974, SLM Loss: 2.28222
3
- INFO:2025-04-19 06:06:32,628: Epoch [172/2000], Step [30/103], Mel Loss: 0.49943, Gen Loss: 20.04922, Disc Loss: 1.67373, Mono Loss: 0.03095, S2S Loss: 3.09345, SLM Loss: 2.28325
4
- INFO:2025-04-19 06:07:04,133: Epoch [172/2000], Step [40/103], Mel Loss: 0.49957, Gen Loss: 18.65599, Disc Loss: 1.82620, Mono Loss: 0.02344, S2S Loss: 2.88804, SLM Loss: 2.36621
5
- INFO:2025-04-19 06:07:35,300: Epoch [172/2000], Step [50/103], Mel Loss: 0.47768, Gen Loss: 18.86207, Disc Loss: 2.09690, Mono Loss: 0.02290, S2S Loss: 3.06059, SLM Loss: 2.14493
6
- INFO:2025-04-19 06:08:07,153: Epoch [172/2000], Step [60/103], Mel Loss: 0.52728, Gen Loss: 20.18369, Disc Loss: 1.82205, Mono Loss: 0.03392, S2S Loss: 3.04808, SLM Loss: 2.19737
7
- INFO:2025-04-19 06:08:40,051: Epoch [172/2000], Step [70/103], Mel Loss: 0.50537, Gen Loss: 21.64199, Disc Loss: 1.55544, Mono Loss: 0.03042, S2S Loss: 2.95961, SLM Loss: 2.20869
8
- INFO:2025-04-19 06:09:10,152: Epoch [172/2000], Step [80/103], Mel Loss: 0.50642, Gen Loss: 20.74788, Disc Loss: 1.58680, Mono Loss: 0.02950, S2S Loss: 3.19282, SLM Loss: 2.37025
9
- INFO:2025-04-19 06:09:40,105: Epoch [172/2000], Step [90/103], Mel Loss: 0.49223, Gen Loss: 19.06367, Disc Loss: 2.18111, Mono Loss: 0.05383, S2S Loss: 2.64033, SLM Loss: 2.28037
10
- INFO:2025-04-19 06:10:11,766: Epoch [172/2000], Step [100/103], Mel Loss: 0.49026, Gen Loss: 19.62444, Disc Loss: 1.59637, Mono Loss: 0.02270, S2S Loss: 2.71941, SLM Loss: 2.29486
11
- INFO:2025-04-19 06:11:03,987: Epoch [173/2000], Step [10/103], Mel Loss: 0.51189, Gen Loss: 21.01040, Disc Loss: 1.54343, Mono Loss: 0.02302, S2S Loss: 3.00716, SLM Loss: 2.27467
12
- INFO:2025-04-19 06:11:33,694: Epoch [173/2000], Step [20/103], Mel Loss: 0.48045, Gen Loss: 20.46531, Disc Loss: 1.54627, Mono Loss: 0.02493, S2S Loss: 2.70191, SLM Loss: 2.23879
13
- INFO:2025-04-19 06:12:05,064: Epoch [173/2000], Step [30/103], Mel Loss: 0.49242, Gen Loss: 18.44250, Disc Loss: 1.85066, Mono Loss: 0.02167, S2S Loss: 2.54103, SLM Loss: 2.19616
14
- INFO:2025-04-19 06:12:33,674: Epoch [173/2000], Step [40/103], Mel Loss: 0.46743, Gen Loss: 19.72079, Disc Loss: 1.66980, Mono Loss: 0.02674, S2S Loss: 2.93780, SLM Loss: 2.26917
15
- INFO:2025-04-19 06:13:05,168: Epoch [173/2000], Step [50/103], Mel Loss: 0.48814, Gen Loss: 19.04391, Disc Loss: 2.00274, Mono Loss: 0.02832, S2S Loss: 2.75156, SLM Loss: 2.13500
16
- INFO:2025-04-19 06:13:35,836: Epoch [173/2000], Step [60/103], Mel Loss: 0.50107, Gen Loss: 21.10793, Disc Loss: 1.52648, Mono Loss: 0.02576, S2S Loss: 2.82060, SLM Loss: 2.22685
17
- INFO:2025-04-19 06:14:06,995: Epoch [173/2000], Step [70/103], Mel Loss: 0.51913, Gen Loss: 19.93866, Disc Loss: 1.66394, Mono Loss: 0.01771, S2S Loss: 2.49649, SLM Loss: 2.36162
18
- INFO:2025-04-19 06:14:38,615: Epoch [173/2000], Step [80/103], Mel Loss: 0.49018, Gen Loss: 20.08590, Disc Loss: 1.49651, Mono Loss: 0.02133, S2S Loss: 2.96537, SLM Loss: 2.48091
19
- INFO:2025-04-19 06:15:10,434: Epoch [173/2000], Step [90/103], Mel Loss: 0.50108, Gen Loss: 20.89732, Disc Loss: 1.62664, Mono Loss: 0.02150, S2S Loss: 2.67248, SLM Loss: 2.29798
20
- INFO:2025-04-19 06:15:41,642: Epoch [173/2000], Step [100/103], Mel Loss: 0.46766, Gen Loss: 20.14573, Disc Loss: 1.63960, Mono Loss: 0.01970, S2S Loss: 2.61184, SLM Loss: 2.27835
21
- INFO:2025-04-19 06:16:46,073: Epoch [174/2000], Step [10/103], Mel Loss: 0.50016, Gen Loss: 20.55195, Disc Loss: 1.52571, Mono Loss: 0.02179, S2S Loss: 2.65634, SLM Loss: 2.22372
22
- INFO:2025-04-19 06:17:16,408: Epoch [174/2000], Step [20/103], Mel Loss: 0.49517, Gen Loss: 19.28646, Disc Loss: 1.76686, Mono Loss: 0.03635, S2S Loss: 3.09372, SLM Loss: 2.41635
23
- INFO:2025-04-19 06:17:47,544: Epoch [174/2000], Step [30/103], Mel Loss: 0.50201, Gen Loss: 19.60267, Disc Loss: 1.74641, Mono Loss: 0.02212, S2S Loss: 2.79624, SLM Loss: 2.23391
24
- INFO:2025-04-19 06:18:19,227: Epoch [174/2000], Step [40/103], Mel Loss: 0.45649, Gen Loss: 18.76392, Disc Loss: 1.86530, Mono Loss: 0.02307, S2S Loss: 2.87715, SLM Loss: 2.25671
25
- INFO:2025-04-19 06:18:50,529: Epoch [174/2000], Step [50/103], Mel Loss: 0.50979, Gen Loss: 20.16633, Disc Loss: 1.63595, Mono Loss: 0.02933, S2S Loss: 2.76850, SLM Loss: 2.20160
26
- INFO:2025-04-19 06:19:21,746: Epoch [174/2000], Step [60/103], Mel Loss: 0.49076, Gen Loss: 21.23984, Disc Loss: 1.59732, Mono Loss: 0.02372, S2S Loss: 2.90743, SLM Loss: 2.26471
27
- INFO:2025-04-19 06:19:52,417: Epoch [174/2000], Step [70/103], Mel Loss: 0.48607, Gen Loss: 20.12070, Disc Loss: 1.82636, Mono Loss: 0.02717, S2S Loss: 2.90649, SLM Loss: 2.30423
28
- INFO:2025-04-19 06:20:23,276: Epoch [174/2000], Step [80/103], Mel Loss: 0.47872, Gen Loss: 18.12522, Disc Loss: 2.01864, Mono Loss: 0.04236, S2S Loss: 2.67879, SLM Loss: 2.22928
29
- INFO:2025-04-19 06:20:52,625: Epoch [174/2000], Step [90/103], Mel Loss: 0.47791, Gen Loss: 19.27369, Disc Loss: 1.76845, Mono Loss: 0.02332, S2S Loss: 3.05484, SLM Loss: 2.30379
30
- INFO:2025-04-19 06:21:23,516: Epoch [174/2000], Step [100/103], Mel Loss: 0.48185, Gen Loss: 19.48250, Disc Loss: 1.91460, Mono Loss: 0.03009, S2S Loss: 2.77278, SLM Loss: 2.27458
31
- INFO:2025-04-19 06:22:11,388: Epoch [175/2000], Step [10/103], Mel Loss: 0.47567, Gen Loss: 17.67046, Disc Loss: 2.03858, Mono Loss: 0.01649, S2S Loss: 2.63230, SLM Loss: 2.30893
32
- INFO:2025-04-19 06:22:40,567: Epoch [175/2000], Step [20/103], Mel Loss: 0.47005, Gen Loss: 20.80192, Disc Loss: 1.59534, Mono Loss: 0.02183, S2S Loss: 2.78372, SLM Loss: 2.25107
33
- INFO:2025-04-19 06:23:11,917: Epoch [175/2000], Step [30/103], Mel Loss: 0.50285, Gen Loss: 18.19817, Disc Loss: 2.01388, Mono Loss: 0.02578, S2S Loss: 2.60506, SLM Loss: 2.26861
34
- INFO:2025-04-19 06:23:43,133: Epoch [175/2000], Step [40/103], Mel Loss: 0.49708, Gen Loss: 19.73482, Disc Loss: 1.70221, Mono Loss: 0.02521, S2S Loss: 2.68974, SLM Loss: 2.34267
35
- INFO:2025-04-19 06:24:15,796: Epoch [175/2000], Step [50/103], Mel Loss: 0.49577, Gen Loss: 16.78472, Disc Loss: 2.31061, Mono Loss: 0.01824, S2S Loss: 2.42907, SLM Loss: 2.10514
36
- INFO:2025-04-19 06:24:45,215: Epoch [175/2000], Step [60/103], Mel Loss: 0.49325, Gen Loss: 16.72832, Disc Loss: 2.22673, Mono Loss: 0.01935, S2S Loss: 2.05736, SLM Loss: 2.24337
37
- INFO:2025-04-19 06:25:17,381: Epoch [175/2000], Step [70/103], Mel Loss: 0.50182, Gen Loss: 20.08214, Disc Loss: 1.75990, Mono Loss: 0.02761, S2S Loss: 2.43929, SLM Loss: 2.16661
38
- INFO:2025-04-19 06:25:50,573: Epoch [175/2000], Step [80/103], Mel Loss: 0.49850, Gen Loss: 16.85787, Disc Loss: 2.16622, Mono Loss: 0.01707, S2S Loss: 2.29181, SLM Loss: 2.11115
39
- INFO:2025-04-19 06:26:21,499: Epoch [175/2000], Step [90/103], Mel Loss: 0.49080, Gen Loss: 16.81436, Disc Loss: 2.10099, Mono Loss: 0.01821, S2S Loss: 2.57103, SLM Loss: 2.33462
40
- INFO:2025-04-19 06:26:49,755: Epoch [175/2000], Step [100/103], Mel Loss: 0.46375, Gen Loss: 20.21952, Disc Loss: 1.58607, Mono Loss: 0.02129, S2S Loss: 2.59301, SLM Loss: 2.31743
41
- INFO:2025-04-19 06:27:55,438: Epoch [176/2000], Step [10/103], Mel Loss: 0.49432, Gen Loss: 20.54411, Disc Loss: 1.63887, Mono Loss: 0.03046, S2S Loss: 2.25931, SLM Loss: 2.28496
42
- INFO:2025-04-19 06:28:26,357: Epoch [176/2000], Step [20/103], Mel Loss: 0.47363, Gen Loss: 20.38404, Disc Loss: 1.77792, Mono Loss: 0.01983, S2S Loss: 2.60933, SLM Loss: 2.15457
43
- INFO:2025-04-19 06:28:58,309: Epoch [176/2000], Step [30/103], Mel Loss: 0.49916, Gen Loss: 21.28178, Disc Loss: 1.47651, Mono Loss: 0.02568, S2S Loss: 2.65421, SLM Loss: 2.37266
44
- INFO:2025-04-19 06:29:30,100: Epoch [176/2000], Step [40/103], Mel Loss: 0.50341, Gen Loss: 20.84227, Disc Loss: 1.53226, Mono Loss: 0.02120, S2S Loss: 2.51422, SLM Loss: 2.33485
45
- INFO:2025-04-19 06:29:59,951: Epoch [176/2000], Step [50/103], Mel Loss: 0.50593, Gen Loss: 20.08417, Disc Loss: 1.64240, Mono Loss: 0.02494, S2S Loss: 2.45440, SLM Loss: 2.25015
46
- INFO:2025-04-19 06:30:29,061: Epoch [176/2000], Step [60/103], Mel Loss: 0.49170, Gen Loss: 18.65475, Disc Loss: 1.99479, Mono Loss: 0.01651, S2S Loss: 2.47974, SLM Loss: 2.20827
47
- INFO:2025-04-19 06:31:00,141: Epoch [176/2000], Step [70/103], Mel Loss: 0.52671, Gen Loss: 20.53784, Disc Loss: 1.50106, Mono Loss: 0.02845, S2S Loss: 2.69853, SLM Loss: 2.40133
48
- INFO:2025-04-19 06:31:31,831: Epoch [176/2000], Step [80/103], Mel Loss: 0.49103, Gen Loss: 21.17548, Disc Loss: 1.57856, Mono Loss: 0.02808, S2S Loss: 2.29848, SLM Loss: 2.23754
49
- INFO:2025-04-19 06:32:02,404: Epoch [176/2000], Step [90/103], Mel Loss: 0.48229, Gen Loss: 18.35145, Disc Loss: 1.93141, Mono Loss: 0.02003, S2S Loss: 2.13283, SLM Loss: 2.07911
50
- INFO:2025-04-19 06:32:33,013: Epoch [176/2000], Step [100/103], Mel Loss: 0.47932, Gen Loss: 20.15468, Disc Loss: 1.82538, Mono Loss: 0.01628, S2S Loss: 2.84041, SLM Loss: 2.27381
51
- INFO:2025-04-19 06:33:24,254: Epoch [177/2000], Step [10/103], Mel Loss: 0.50474, Gen Loss: 17.11293, Disc Loss: 2.16517, Mono Loss: 0.05381, S2S Loss: 2.09416, SLM Loss: 2.17665
52
- INFO:2025-04-19 06:33:54,341: Epoch [177/2000], Step [20/103], Mel Loss: 0.47097, Gen Loss: 21.43686, Disc Loss: 1.55619, Mono Loss: 0.04970, S2S Loss: 2.45769, SLM Loss: 2.14187
53
- INFO:2025-04-19 06:34:23,545: Epoch [177/2000], Step [30/103], Mel Loss: 0.46777, Gen Loss: 19.08918, Disc Loss: 1.86984, Mono Loss: 0.01860, S2S Loss: 2.19957, SLM Loss: 2.25150
54
- INFO:2025-04-19 06:34:54,276: Epoch [177/2000], Step [40/103], Mel Loss: 0.46588, Gen Loss: 21.29658, Disc Loss: 1.57501, Mono Loss: 0.02686, S2S Loss: 2.71563, SLM Loss: 2.54344
55
- INFO:2025-04-19 06:35:25,575: Epoch [177/2000], Step [50/103], Mel Loss: 0.48175, Gen Loss: 17.02888, Disc Loss: 2.12718, Mono Loss: 0.01955, S2S Loss: 2.48846, SLM Loss: 2.29242
56
- INFO:2025-04-19 06:35:56,355: Epoch [177/2000], Step [60/103], Mel Loss: 0.49381, Gen Loss: 16.36454, Disc Loss: 2.32740, Mono Loss: 0.01739, S2S Loss: 1.99311, SLM Loss: 2.10335
57
- INFO:2025-04-19 06:36:28,222: Epoch [177/2000], Step [70/103], Mel Loss: 0.48940, Gen Loss: 20.71991, Disc Loss: 1.51545, Mono Loss: 0.02215, S2S Loss: 2.12421, SLM Loss: 2.18526
58
- INFO:2025-04-19 06:37:01,570: Epoch [177/2000], Step [80/103], Mel Loss: 0.48710, Gen Loss: 20.32706, Disc Loss: 1.61254, Mono Loss: 0.02250, S2S Loss: 2.32215, SLM Loss: 2.25215
59
- INFO:2025-04-19 06:37:31,603: Epoch [177/2000], Step [90/103], Mel Loss: 0.49960, Gen Loss: 20.98949, Disc Loss: 1.57459, Mono Loss: 0.02182, S2S Loss: 2.19218, SLM Loss: 2.18602
60
- INFO:2025-04-19 06:38:02,066: Epoch [177/2000], Step [100/103], Mel Loss: 0.51424, Gen Loss: 16.88578, Disc Loss: 2.06005, Mono Loss: 0.07569, S2S Loss: 1.97613, SLM Loss: 2.14808
61
- INFO:2025-04-19 06:39:12,536: Epoch [178/2000], Step [10/103], Mel Loss: 0.51100, Gen Loss: 20.04249, Disc Loss: 1.70662, Mono Loss: 0.02108, S2S Loss: 2.29320, SLM Loss: 2.22905
62
- INFO:2025-04-19 06:39:42,911: Epoch [178/2000], Step [20/103], Mel Loss: 0.50186, Gen Loss: 19.56831, Disc Loss: 2.05372, Mono Loss: 0.01500, S2S Loss: 2.36730, SLM Loss: 2.22509
63
- INFO:2025-04-19 06:40:13,082: Epoch [178/2000], Step [30/103], Mel Loss: 0.47079, Gen Loss: 19.21834, Disc Loss: 1.84797, Mono Loss: 0.01643, S2S Loss: 2.42372, SLM Loss: 2.38288
64
- INFO:2025-04-19 06:40:40,972: Epoch [178/2000], Step [40/103], Mel Loss: 0.47144, Gen Loss: 17.98199, Disc Loss: 1.87680, Mono Loss: 0.05998, S2S Loss: 1.97469, SLM Loss: 2.31611
65
- INFO:2025-04-19 06:41:12,789: Epoch [178/2000], Step [50/103], Mel Loss: 0.49665, Gen Loss: 19.83783, Disc Loss: 1.60737, Mono Loss: 0.01816, S2S Loss: 1.94056, SLM Loss: 2.37035
66
- INFO:2025-04-19 06:41:42,558: Epoch [178/2000], Step [60/103], Mel Loss: 0.47993, Gen Loss: 20.99589, Disc Loss: 1.58060, Mono Loss: 0.01886, S2S Loss: 2.00411, SLM Loss: 2.26554
67
- INFO:2025-04-19 06:42:14,046: Epoch [178/2000], Step [70/103], Mel Loss: 0.49653, Gen Loss: 20.75497, Disc Loss: 1.51111, Mono Loss: 0.01569, S2S Loss: 2.09578, SLM Loss: 2.23805
68
- INFO:2025-04-19 06:42:44,690: Epoch [178/2000], Step [80/103], Mel Loss: 0.49554, Gen Loss: 20.41372, Disc Loss: 1.63891, Mono Loss: 0.02980, S2S Loss: 2.14003, SLM Loss: 2.25515
69
- INFO:2025-04-19 06:43:13,618: Epoch [178/2000], Step [90/103], Mel Loss: 0.46177, Gen Loss: 17.74081, Disc Loss: 2.06814, Mono Loss: 0.01958, S2S Loss: 2.33267, SLM Loss: 2.25924
70
- INFO:2025-04-19 06:43:44,829: Epoch [178/2000], Step [100/103], Mel Loss: 0.47063, Gen Loss: 19.16476, Disc Loss: 1.95167, Mono Loss: 0.01380, S2S Loss: 2.27418, SLM Loss: 2.16315
71
- INFO:2025-04-19 06:44:42,383: Epoch [179/2000], Step [10/103], Mel Loss: 0.48133, Gen Loss: 19.65171, Disc Loss: 1.81837, Mono Loss: 0.01611, S2S Loss: 2.02007, SLM Loss: 2.15730
72
- INFO:2025-04-19 06:45:14,826: Epoch [179/2000], Step [20/103], Mel Loss: 0.49343, Gen Loss: 17.33815, Disc Loss: 2.47997, Mono Loss: 0.01305, S2S Loss: 2.07549, SLM Loss: 2.13905
73
- INFO:2025-04-19 06:45:45,968: Epoch [179/2000], Step [30/103], Mel Loss: 0.50345, Gen Loss: 19.96809, Disc Loss: 1.86567, Mono Loss: 0.02316, S2S Loss: 2.35168, SLM Loss: 2.21718
74
- INFO:2025-04-19 06:46:16,478: Epoch [179/2000], Step [40/103], Mel Loss: 0.51349, Gen Loss: 17.72800, Disc Loss: 2.10020, Mono Loss: 0.01258, S2S Loss: 2.22015, SLM Loss: 2.27779
75
- INFO:2025-04-19 06:46:47,978: Epoch [179/2000], Step [50/103], Mel Loss: 0.47499, Gen Loss: 20.26324, Disc Loss: 1.65529, Mono Loss: 0.01757, S2S Loss: 2.14208, SLM Loss: 2.20641
76
- INFO:2025-04-19 06:47:17,940: Epoch [179/2000], Step [60/103], Mel Loss: 0.47963, Gen Loss: 18.71129, Disc Loss: 1.98715, Mono Loss: 0.02216, S2S Loss: 2.06452, SLM Loss: 2.44723
77
- INFO:2025-04-19 06:47:46,672: Epoch [179/2000], Step [70/103], Mel Loss: 0.46955, Gen Loss: 16.24311, Disc Loss: 2.33695, Mono Loss: 0.04459, S2S Loss: 2.26657, SLM Loss: 2.20270
78
- INFO:2025-04-19 06:48:19,554: Epoch [179/2000], Step [80/103], Mel Loss: 0.49098, Gen Loss: 16.58536, Disc Loss: 2.10204, Mono Loss: 0.01451, S2S Loss: 2.36178, SLM Loss: 2.20389
79
- INFO:2025-04-19 06:48:49,801: Epoch [179/2000], Step [90/103], Mel Loss: 0.48200, Gen Loss: 19.20991, Disc Loss: 1.70413, Mono Loss: 0.01811, S2S Loss: 2.04987, SLM Loss: 2.27541
80
- INFO:2025-04-19 06:49:19,884: Epoch [179/2000], Step [100/103], Mel Loss: 0.48396, Gen Loss: 19.84217, Disc Loss: 1.62315, Mono Loss: 0.02771, S2S Loss: 1.89488, SLM Loss: 2.24688
81
- INFO:2025-04-19 06:50:31,289: Epoch [180/2000], Step [10/103], Mel Loss: 0.48818, Gen Loss: 20.37338, Disc Loss: 1.65358, Mono Loss: 0.02379, S2S Loss: 2.01214, SLM Loss: 2.28381
82
- INFO:2025-04-19 06:51:02,619: Epoch [180/2000], Step [20/103], Mel Loss: 0.47724, Gen Loss: 20.96991, Disc Loss: 1.54709, Mono Loss: 0.02196, S2S Loss: 1.85579, SLM Loss: 2.19455
83
- INFO:2025-04-19 06:51:30,808: Epoch [180/2000], Step [30/103], Mel Loss: 0.47380, Gen Loss: 16.36775, Disc Loss: 2.27467, Mono Loss: 0.09785, S2S Loss: 2.17829, SLM Loss: 2.02525
84
- INFO:2025-04-19 06:52:01,719: Epoch [180/2000], Step [40/103], Mel Loss: 0.50057, Gen Loss: 20.71078, Disc Loss: 1.53290, Mono Loss: 0.01963, S2S Loss: 2.49991, SLM Loss: 2.38910
85
- INFO:2025-04-19 06:52:33,851: Epoch [180/2000], Step [50/103], Mel Loss: 0.49654, Gen Loss: 19.57065, Disc Loss: 1.76384, Mono Loss: 0.02505, S2S Loss: 2.27472, SLM Loss: 2.14535
86
- INFO:2025-04-19 06:53:07,125: Epoch [180/2000], Step [60/103], Mel Loss: 0.49525, Gen Loss: 19.67667, Disc Loss: 1.78827, Mono Loss: 0.02732, S2S Loss: 2.31969, SLM Loss: 2.15537
87
- INFO:2025-04-19 06:53:37,750: Epoch [180/2000], Step [70/103], Mel Loss: 0.45083, Gen Loss: 20.67027, Disc Loss: 1.61505, Mono Loss: 0.01881, S2S Loss: 1.93325, SLM Loss: 2.12408
88
- INFO:2025-04-19 06:54:08,298: Epoch [180/2000], Step [80/103], Mel Loss: 0.48052, Gen Loss: 19.88732, Disc Loss: 1.58013, Mono Loss: 0.03172, S2S Loss: 1.95051, SLM Loss: 2.24723
89
- INFO:2025-04-19 06:54:39,525: Epoch [180/2000], Step [90/103], Mel Loss: 0.48107, Gen Loss: 19.58432, Disc Loss: 1.81857, Mono Loss: 0.01407, S2S Loss: 2.00401, SLM Loss: 2.01524
90
- INFO:2025-04-19 06:55:09,864: Epoch [180/2000], Step [100/103], Mel Loss: 0.48382, Gen Loss: 21.15065, Disc Loss: 1.59409, Mono Loss: 0.02166, S2S Loss: 1.97609, SLM Loss: 2.34446
 
1
+ INFO:2025-04-19 07:16:47,092: Epoch [181/300], Step [10/51], Loss: 0.56063, Disc Loss: 1.72808, Dur Loss: 1.35806, CE Loss: 0.08192, Norm Loss: 1.08565, F0 Loss: 3.40227, LM Loss: 2.29382, Gen Loss: 19.64939
2
+ INFO:2025-04-19 07:17:33,172: Epoch [181/300], Step [20/51], Loss: 0.57167, Disc Loss: 1.58953, Dur Loss: 1.11460, CE Loss: 0.06144, Norm Loss: 0.82348, F0 Loss: 3.46390, LM Loss: 2.31427, Gen Loss: 20.03157
3
+ INFO:2025-04-19 07:18:20,042: Epoch [181/300], Step [30/51], Loss: 0.57792, Disc Loss: 1.86675, Dur Loss: 1.30232, CE Loss: 0.07222, Norm Loss: 1.11762, F0 Loss: 3.55690, LM Loss: 2.34630, Gen Loss: 20.23009
4
+ INFO:2025-04-19 07:19:06,990: Epoch [181/300], Step [40/51], Loss: 0.59728, Disc Loss: 1.49357, Dur Loss: 1.00975, CE Loss: 0.04959, Norm Loss: 0.85780, F0 Loss: 4.20748, LM Loss: 2.33867, Gen Loss: 21.88350
5
+ INFO:2025-04-19 07:19:52,443: Epoch [181/300], Step [50/51], Loss: 0.57340, Disc Loss: 1.60009, Dur Loss: 1.50066, CE Loss: 0.09409, Norm Loss: 1.10901, F0 Loss: 4.11975, LM Loss: 2.39743, Gen Loss: 20.08789
6
+ INFO:2025-04-19 07:20:50,771: Epoch [182/300], Step [10/51], Loss: 0.55877, Disc Loss: 1.36360, Dur Loss: 1.13684, CE Loss: 0.06456, Norm Loss: 1.20477, F0 Loss: 5.14027, LM Loss: 2.44336, Gen Loss: 22.71041
7
+ INFO:2025-04-19 07:21:36,325: Epoch [182/300], Step [20/51], Loss: 0.57940, Disc Loss: 1.78504, Dur Loss: 1.19915, CE Loss: 0.06681, Norm Loss: 1.14434, F0 Loss: 4.05978, LM Loss: 2.43170, Gen Loss: 20.10248
8
+ INFO:2025-04-19 07:22:22,860: Epoch [182/300], Step [30/51], Loss: 0.58186, Disc Loss: 1.61687, Dur Loss: 0.98424, CE Loss: 0.04976, Norm Loss: 1.02162, F0 Loss: 4.08896, LM Loss: 2.28916, Gen Loss: 20.79771
9
+ INFO:2025-04-19 07:23:08,224: Epoch [182/300], Step [40/51], Loss: 0.58899, Disc Loss: 1.70768, Dur Loss: 1.06546, CE Loss: 0.05308, Norm Loss: 0.74779, F0 Loss: 3.69975, LM Loss: 2.30818, Gen Loss: 20.44834
10
+ INFO:2025-04-19 07:23:54,125: Epoch [182/300], Step [50/51], Loss: 0.58311, Disc Loss: 1.47672, Dur Loss: 1.21679, CE Loss: 0.07738, Norm Loss: 1.04222, F0 Loss: 4.34241, LM Loss: 2.47099, Gen Loss: 22.20851
11
+ INFO:2025-04-19 07:24:48,291: Epoch [183/300], Step [10/51], Loss: 0.58542, Disc Loss: 1.37121, Dur Loss: 1.08715, CE Loss: 0.05452, Norm Loss: 0.91910, F0 Loss: 4.10941, LM Loss: 2.39967, Gen Loss: 21.77512
12
+ INFO:2025-04-19 07:25:34,448: Epoch [183/300], Step [20/51], Loss: 0.57447, Disc Loss: 2.08810, Dur Loss: 1.49219, CE Loss: 0.10877, Norm Loss: 1.01922, F0 Loss: 3.25547, LM Loss: 2.39675, Gen Loss: 18.13534
13
+ INFO:2025-04-19 07:26:20,068: Epoch [183/300], Step [30/51], Loss: 0.59361, Disc Loss: 1.50975, Dur Loss: 1.05460, CE Loss: 0.05638, Norm Loss: 1.00622, F0 Loss: 4.02734, LM Loss: 2.38383, Gen Loss: 21.45704
14
+ INFO:2025-04-19 07:27:06,783: Epoch [183/300], Step [40/51], Loss: 0.58868, Disc Loss: 1.46649, Dur Loss: 1.06194, CE Loss: 0.05741, Norm Loss: 0.88278, F0 Loss: 4.05279, LM Loss: 2.32831, Gen Loss: 22.06308
15
+ INFO:2025-04-19 07:27:52,145: Epoch [183/300], Step [50/51], Loss: 0.59898, Disc Loss: 2.11437, Dur Loss: 1.10527, CE Loss: 0.06064, Norm Loss: 1.22681, F0 Loss: 4.53425, LM Loss: 2.45987, Gen Loss: 18.08782
16
+ INFO:2025-04-19 07:28:47,249: Epoch [184/300], Step [10/51], Loss: 0.57138, Disc Loss: 1.46649, Dur Loss: 1.17369, CE Loss: 0.05882, Norm Loss: 1.03845, F0 Loss: 3.47382, LM Loss: 2.45305, Gen Loss: 21.99467
17
+ INFO:2025-04-19 07:29:33,434: Epoch [184/300], Step [20/51], Loss: 0.58371, Disc Loss: 1.68005, Dur Loss: 1.07328, CE Loss: 0.05422, Norm Loss: 0.85016, F0 Loss: 3.56116, LM Loss: 2.44666, Gen Loss: 19.90224
18
+ INFO:2025-04-19 07:30:19,322: Epoch [184/300], Step [30/51], Loss: 0.58750, Disc Loss: 1.53127, Dur Loss: 0.98235, CE Loss: 0.05376, Norm Loss: 0.72398, F0 Loss: 3.50273, LM Loss: 2.40881, Gen Loss: 21.36630
19
+ INFO:2025-04-19 07:31:04,491: Epoch [184/300], Step [40/51], Loss: 0.58617, Disc Loss: 1.59586, Dur Loss: 0.98865, CE Loss: 0.05622, Norm Loss: 0.75023, F0 Loss: 3.09700, LM Loss: 2.34659, Gen Loss: 20.93333
20
+ INFO:2025-04-19 07:31:49,874: Epoch [184/300], Step [50/51], Loss: 0.57236, Disc Loss: 1.53557, Dur Loss: 1.16691, CE Loss: 0.05822, Norm Loss: 1.10275, F0 Loss: 4.32054, LM Loss: 2.30591, Gen Loss: 20.96823
21
+ INFO:2025-04-19 07:32:44,245: Epoch [185/300], Step [10/51], Loss: 0.59332, Disc Loss: 1.82301, Dur Loss: 1.24426, CE Loss: 0.07475, Norm Loss: 0.99129, F0 Loss: 3.18512, LM Loss: 2.37323, Gen Loss: 19.52286
22
+ INFO:2025-04-19 07:33:30,890: Epoch [185/300], Step [20/51], Loss: 0.56777, Disc Loss: 1.62908, Dur Loss: 0.99099, CE Loss: 0.05106, Norm Loss: 0.87998, F0 Loss: 4.07476, LM Loss: 2.42944, Gen Loss: 21.09465
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+ INFO:2025-04-19 07:34:16,426: Epoch [185/300], Step [30/51], Loss: 0.59683, Disc Loss: 1.49257, Dur Loss: 1.05736, CE Loss: 0.05449, Norm Loss: 0.87778, F0 Loss: 3.91276, LM Loss: 2.33567, Gen Loss: 22.41716
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+ INFO:2025-04-19 07:35:02,298: Epoch [185/300], Step [40/51], Loss: 0.59074, Disc Loss: 1.49380, Dur Loss: 0.98101, CE Loss: 0.04971, Norm Loss: 0.83969, F0 Loss: 4.44402, LM Loss: 2.50182, Gen Loss: 21.34851
25
+ INFO:2025-04-19 07:35:47,520: Epoch [185/300], Step [50/51], Loss: 0.58193, Disc Loss: 2.02017, Dur Loss: 1.11365, CE Loss: 0.08922, Norm Loss: 0.85782, F0 Loss: 3.00204, LM Loss: 2.26594, Gen Loss: 19.01582
26
+ INFO:2025-04-19 07:36:42,481: Epoch [186/300], Step [10/51], Loss: 0.56489, Disc Loss: 1.90028, Dur Loss: 1.15824, CE Loss: 0.06515, Norm Loss: 0.87052, F0 Loss: 3.26653, LM Loss: 2.28196, Gen Loss: 18.86527
27
+ INFO:2025-04-19 07:37:28,731: Epoch [186/300], Step [20/51], Loss: 0.60681, Disc Loss: 1.50124, Dur Loss: 1.04759, CE Loss: 0.05416, Norm Loss: 0.87992, F0 Loss: 3.91140, LM Loss: 2.28619, Gen Loss: 22.34542
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+ INFO:2025-04-19 07:38:14,245: Epoch [186/300], Step [30/51], Loss: 0.56986, Disc Loss: 1.58655, Dur Loss: 0.99881, CE Loss: 0.05486, Norm Loss: 0.84532, F0 Loss: 3.57156, LM Loss: 2.38031, Gen Loss: 20.86646
29
+ INFO:2025-04-19 07:39:00,163: Epoch [186/300], Step [40/51], Loss: 0.57116, Disc Loss: 1.62489, Dur Loss: 0.96611, CE Loss: 0.05147, Norm Loss: 0.97687, F0 Loss: 4.14668, LM Loss: 2.44159, Gen Loss: 20.62309
30
+ INFO:2025-04-19 07:39:45,947: Epoch [186/300], Step [50/51], Loss: 0.59907, Disc Loss: 1.76352, Dur Loss: 1.06363, CE Loss: 0.05782, Norm Loss: 0.83289, F0 Loss: 3.83110, LM Loss: 2.39018, Gen Loss: 20.57370
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+ INFO:2025-04-19 07:40:40,627: Epoch [187/300], Step [10/51], Loss: 0.56996, Disc Loss: 1.82669, Dur Loss: 0.94903, CE Loss: 0.05214, Norm Loss: 1.06313, F0 Loss: 4.17308, LM Loss: 2.42945, Gen Loss: 20.28809
32
+ INFO:2025-04-19 07:41:26,194: Epoch [187/300], Step [20/51], Loss: 0.58663, Disc Loss: 1.53020, Dur Loss: 1.01105, CE Loss: 0.04972, Norm Loss: 0.82961, F0 Loss: 3.87909, LM Loss: 2.26483, Gen Loss: 21.17896
33
+ INFO:2025-04-19 07:42:12,453: Epoch [187/300], Step [30/51], Loss: 0.57924, Disc Loss: 1.39008, Dur Loss: 0.93919, CE Loss: 0.04889, Norm Loss: 0.80937, F0 Loss: 4.35432, LM Loss: 2.30816, Gen Loss: 21.93138
34
+ INFO:2025-04-19 07:42:58,371: Epoch [187/300], Step [40/51], Loss: 0.59440, Disc Loss: 1.40170, Dur Loss: 0.97355, CE Loss: 0.05191, Norm Loss: 0.85825, F0 Loss: 4.35346, LM Loss: 2.29145, Gen Loss: 21.95955
35
+ INFO:2025-04-19 07:43:43,769: Epoch [187/300], Step [50/51], Loss: 0.60313, Disc Loss: 1.65358, Dur Loss: 1.01181, CE Loss: 0.06313, Norm Loss: 1.01507, F0 Loss: 3.19626, LM Loss: 2.30542, Gen Loss: 20.91987
36
+ INFO:2025-04-19 07:44:38,686: Epoch [188/300], Step [10/51], Loss: 0.58345, Disc Loss: 1.50602, Dur Loss: 0.97460, CE Loss: 0.05449, Norm Loss: 0.74425, F0 Loss: 4.01435, LM Loss: 2.42631, Gen Loss: 21.05725
37
+ INFO:2025-04-19 07:45:24,183: Epoch [188/300], Step [20/51], Loss: 0.59328, Disc Loss: 1.47735, Dur Loss: 0.89795, CE Loss: 0.04530, Norm Loss: 0.85843, F0 Loss: 4.15456, LM Loss: 2.33724, Gen Loss: 21.56668
38
+ INFO:2025-04-19 07:46:10,721: Epoch [188/300], Step [30/51], Loss: 0.59741, Disc Loss: 1.42779, Dur Loss: 1.05431, CE Loss: 0.05337, Norm Loss: 1.08271, F0 Loss: 4.66751, LM Loss: 2.40146, Gen Loss: 21.69904
39
+ INFO:2025-04-19 07:46:56,484: Epoch [188/300], Step [40/51], Loss: 0.56985, Disc Loss: 1.51378, Dur Loss: 0.96334, CE Loss: 0.04943, Norm Loss: 0.74536, F0 Loss: 3.29778, LM Loss: 2.36766, Gen Loss: 21.22485
40
+ INFO:2025-04-19 07:47:41,960: Epoch [188/300], Step [50/51], Loss: 0.57946, Disc Loss: 1.59204, Dur Loss: 0.93622, CE Loss: 0.05056, Norm Loss: 0.90842, F0 Loss: 3.45848, LM Loss: 2.41651, Gen Loss: 21.92961
41
+ INFO:2025-04-19 07:48:35,847: Epoch [189/300], Step [10/51], Loss: 0.59631, Disc Loss: 1.35483, Dur Loss: 1.19192, CE Loss: 0.06380, Norm Loss: 0.97559, F0 Loss: 4.17630, LM Loss: 2.35165, Gen Loss: 21.96993
42
+ INFO:2025-04-19 07:49:22,226: Epoch [189/300], Step [20/51], Loss: 0.55887, Disc Loss: 1.46694, Dur Loss: 1.02200, CE Loss: 0.05267, Norm Loss: 0.72316, F0 Loss: 4.12190, LM Loss: 2.31973, Gen Loss: 21.90102
43
+ INFO:2025-04-19 07:50:07,944: Epoch [189/300], Step [30/51], Loss: 0.57693, Disc Loss: 1.58111, Dur Loss: 1.25020, CE Loss: 0.08688, Norm Loss: 1.01256, F0 Loss: 3.68577, LM Loss: 2.47056, Gen Loss: 21.78606
44
+ INFO:2025-04-19 07:50:53,366: Epoch [189/300], Step [40/51], Loss: 0.58947, Disc Loss: 1.71881, Dur Loss: 0.91293, CE Loss: 0.04767, Norm Loss: 0.79096, F0 Loss: 3.50396, LM Loss: 2.36639, Gen Loss: 20.95126
45
+ INFO:2025-04-19 07:51:39,032: Epoch [189/300], Step [50/51], Loss: 0.58338, Disc Loss: 1.58514, Dur Loss: 0.97952, CE Loss: 0.04884, Norm Loss: 0.86514, F0 Loss: 3.36059, LM Loss: 2.32958, Gen Loss: 21.34020
46
+ INFO:2025-04-19 07:52:34,085: Epoch [190/300], Step [10/51], Loss: 0.58512, Disc Loss: 1.49549, Dur Loss: 0.94132, CE Loss: 0.04649, Norm Loss: 0.83917, F0 Loss: 3.72052, LM Loss: 2.45562, Gen Loss: 21.76112
47
+ INFO:2025-04-19 07:53:20,414: Epoch [190/300], Step [20/51], Loss: 0.60037, Disc Loss: 1.43533, Dur Loss: 1.03626, CE Loss: 0.05721, Norm Loss: 0.78698, F0 Loss: 3.73193, LM Loss: 2.38426, Gen Loss: 22.86257
48
+ INFO:2025-04-19 07:54:06,047: Epoch [190/300], Step [30/51], Loss: 0.57634, Disc Loss: 1.50443, Dur Loss: 1.09791, CE Loss: 0.05891, Norm Loss: 0.78948, F0 Loss: 4.31570, LM Loss: 2.35544, Gen Loss: 21.55885
49
+ INFO:2025-04-19 07:54:51,631: Epoch [190/300], Step [40/51], Loss: 0.57923, Disc Loss: 1.54794, Dur Loss: 0.92769, CE Loss: 0.04874, Norm Loss: 0.80998, F0 Loss: 4.93867, LM Loss: 2.33000, Gen Loss: 22.05284
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+ INFO:2025-04-19 07:55:37,432: Epoch [190/300], Step [50/51], Loss: 0.58290, Disc Loss: 1.42748, Dur Loss: 1.00399, CE Loss: 0.05550, Norm Loss: 0.88464, F0 Loss: 4.64744, LM Loss: 2.40410, Gen Loss: 21.99244
51
+ INFO:2025-04-19 07:56:31,861: Epoch [191/300], Step [10/51], Loss: 0.55861, Disc Loss: 1.65690, Dur Loss: 1.06302, CE Loss: 0.05679, Norm Loss: 0.76620, F0 Loss: 3.37724, LM Loss: 2.40021, Gen Loss: 20.37999
52
+ INFO:2025-04-19 07:57:18,064: Epoch [191/300], Step [20/51], Loss: 0.57569, Disc Loss: 1.55325, Dur Loss: 0.99856, CE Loss: 0.05285, Norm Loss: 0.73580, F0 Loss: 3.88693, LM Loss: 2.30379, Gen Loss: 20.83930
53
+ INFO:2025-04-19 07:58:04,190: Epoch [191/300], Step [30/51], Loss: 0.56905, Disc Loss: 1.61897, Dur Loss: 1.04906, CE Loss: 0.05807, Norm Loss: 0.93402, F0 Loss: 4.22499, LM Loss: 2.39117, Gen Loss: 21.18241
54
+ INFO:2025-04-19 07:58:49,945: Epoch [191/300], Step [40/51], Loss: 0.58192, Disc Loss: 1.71066, Dur Loss: 1.08190, CE Loss: 0.06737, Norm Loss: 0.90658, F0 Loss: 3.66603, LM Loss: 2.34558, Gen Loss: 20.93858
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+ INFO:2025-04-19 07:59:35,402: Epoch [191/300], Step [50/51], Loss: 0.56872, Disc Loss: 1.49317, Dur Loss: 1.04251, CE Loss: 0.07750, Norm Loss: 0.83725, F0 Loss: 3.60286, LM Loss: 2.35268, Gen Loss: 22.27186
56
+ INFO:2025-04-19 08:00:29,923: Epoch [192/300], Step [10/51], Loss: 0.56258, Disc Loss: 1.63352, Dur Loss: 1.17548, CE Loss: 0.07103, Norm Loss: 1.10890, F0 Loss: 4.13282, LM Loss: 2.48624, Gen Loss: 20.22642
57
+ INFO:2025-04-19 08:01:16,294: Epoch [192/300], Step [20/51], Loss: 0.57820, Disc Loss: 1.50443, Dur Loss: 1.17061, CE Loss: 0.07125, Norm Loss: 1.29722, F0 Loss: 5.42864, LM Loss: 2.44235, Gen Loss: 22.16175
58
+ INFO:2025-04-19 08:02:01,683: Epoch [192/300], Step [30/51], Loss: 0.57621, Disc Loss: 1.37699, Dur Loss: 0.91717, CE Loss: 0.04973, Norm Loss: 0.72797, F0 Loss: 3.51321, LM Loss: 2.24407, Gen Loss: 22.46163
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+ INFO:2025-04-19 08:02:47,831: Epoch [192/300], Step [40/51], Loss: 0.58883, Disc Loss: 1.50440, Dur Loss: 0.97721, CE Loss: 0.04913, Norm Loss: 0.88577, F0 Loss: 3.50304, LM Loss: 2.36042, Gen Loss: 22.68449
60
+ INFO:2025-04-19 08:03:33,231: Epoch [192/300], Step [50/51], Loss: 0.57726, Disc Loss: 1.53107, Dur Loss: 0.97599, CE Loss: 0.04831, Norm Loss: 0.71678, F0 Loss: 3.03249, LM Loss: 2.41196, Gen Loss: 20.85790
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+ INFO:2025-04-19 08:04:28,455: Epoch [193/300], Step [10/51], Loss: 0.57556, Disc Loss: 1.39191, Dur Loss: 1.35279, CE Loss: 0.08428, Norm Loss: 1.07764, F0 Loss: 4.77101, LM Loss: 2.44418, Gen Loss: 21.37847
62
+ INFO:2025-04-19 08:05:14,623: Epoch [193/300], Step [20/51], Loss: 0.58825, Disc Loss: 1.45849, Dur Loss: 1.01443, CE Loss: 0.05204, Norm Loss: 0.99705, F0 Loss: 4.41258, LM Loss: 2.42883, Gen Loss: 21.16167
63
+ INFO:2025-04-19 08:06:00,282: Epoch [193/300], Step [30/51], Loss: 0.59738, Disc Loss: 1.83772, Dur Loss: 1.06784, CE Loss: 0.05802, Norm Loss: 0.99740, F0 Loss: 4.35168, LM Loss: 2.36594, Gen Loss: 19.83554
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+ INFO:2025-04-19 08:06:46,392: Epoch [193/300], Step [40/51], Loss: 0.57629, Disc Loss: 1.55285, Dur Loss: 1.15670, CE Loss: 0.06481, Norm Loss: 0.89024, F0 Loss: 4.48543, LM Loss: 2.47730, Gen Loss: 20.92628
65
+ INFO:2025-04-19 08:07:31,880: Epoch [193/300], Step [50/51], Loss: 0.56033, Disc Loss: 1.72577, Dur Loss: 0.97201, CE Loss: 0.04926, Norm Loss: 0.72655, F0 Loss: 3.41583, LM Loss: 2.28716, Gen Loss: 20.88997
66
+ INFO:2025-04-19 08:08:26,065: Epoch [194/300], Step [10/51], Loss: 0.57280, Disc Loss: 1.69630, Dur Loss: 0.84510, CE Loss: 0.04866, Norm Loss: 0.79429, F0 Loss: 3.54316, LM Loss: 2.33542, Gen Loss: 21.31051
67
+ INFO:2025-04-19 08:09:13,218: Epoch [194/300], Step [20/51], Loss: 0.59125, Disc Loss: 1.37055, Dur Loss: 0.85881, CE Loss: 0.04413, Norm Loss: 0.61228, F0 Loss: 3.81089, LM Loss: 2.31521, Gen Loss: 23.04236
68
+ INFO:2025-04-19 08:09:59,389: Epoch [194/300], Step [30/51], Loss: 0.55922, Disc Loss: 1.53784, Dur Loss: 1.00283, CE Loss: 0.05388, Norm Loss: 0.85030, F0 Loss: 3.65629, LM Loss: 2.37972, Gen Loss: 21.05849
69
+ INFO:2025-04-19 08:10:47,535: Epoch [194/300], Step [40/51], Loss: 0.60999, Disc Loss: 1.55975, Dur Loss: 1.26437, CE Loss: 0.07735, Norm Loss: 0.92921, F0 Loss: 4.03809, LM Loss: 2.47955, Gen Loss: 21.20303
70
+ INFO:2025-04-19 08:11:33,266: Epoch [194/300], Step [50/51], Loss: 0.57076, Disc Loss: 1.76601, Dur Loss: 0.81514, CE Loss: 0.03968, Norm Loss: 0.75999, F0 Loss: 3.57714, LM Loss: 2.31304, Gen Loss: 20.47127
71
+ INFO:2025-04-19 08:12:27,846: Epoch [195/300], Step [10/51], Loss: 0.58005, Disc Loss: 1.54524, Dur Loss: 1.21766, CE Loss: 0.08279, Norm Loss: 0.83020, F0 Loss: 3.84125, LM Loss: 2.27535, Gen Loss: 21.52701
72
+ INFO:2025-04-19 08:13:14,072: Epoch [195/300], Step [20/51], Loss: 0.59184, Disc Loss: 1.74353, Dur Loss: 1.02414, CE Loss: 0.05370, Norm Loss: 0.76757, F0 Loss: 3.52252, LM Loss: 2.32485, Gen Loss: 19.86070
73
+ INFO:2025-04-19 08:14:00,513: Epoch [195/300], Step [30/51], Loss: 0.58248, Disc Loss: 1.69125, Dur Loss: 1.01734, CE Loss: 0.05471, Norm Loss: 0.92852, F0 Loss: 4.19767, LM Loss: 2.41302, Gen Loss: 19.95453
74
+ INFO:2025-04-19 08:14:46,327: Epoch [195/300], Step [40/51], Loss: 0.56907, Disc Loss: 1.61077, Dur Loss: 0.96549, CE Loss: 0.05275, Norm Loss: 0.68456, F0 Loss: 3.59531, LM Loss: 2.30756, Gen Loss: 21.08756