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LJSpeech6/config.yml

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+{ASR_config: Utils/ASR/config.yml, ASR_path: Utils/ASR/epoch_00080.pth, F0_path: Utils/JDC/bst.t7,
+  PLBERT_dir: Utils/PLBERT/, batch_size: 4, 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: 300, first_stage_path: first_stage.pth,
+  load_only_params: false, log_dir: Models/LJSpeech6, log_interval: 10, loss_params: {
+    TMA_epoch: 10000, 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: 295,
+  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: LJSpeech5/epoch_2nd_00125.pth,
+  save_freq: 1, second_stage_load_pretrained: true, slmadv_params: {batch_percentage: 1,
+    iter: 10, max_len: 500, min_len: 400, scale: 0.01, sig: 1.5, thresh: 5}}

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+INFO:2025-04-18 15:25:04,786: Epoch [127/300], Step [20/51], Loss: 0.73226, Disc Loss: 1.49282, Dur Loss: 1.53650, CE Loss: 0.09979, Norm Loss: 2.34949, F0 Loss: 7.32520, LM Loss: 2.88008, Gen Loss: 22.95642
+INFO:2025-04-18 15:25:50,119: Epoch [127/300], Step [30/51], Loss: 0.72552, Disc Loss: 1.56217, Dur Loss: 1.45299, CE Loss: 0.09264, Norm Loss: 1.93077, F0 Loss: 6.82026, LM Loss: 2.74079, Gen Loss: 20.75385
+INFO:2025-04-18 15:26:36,911: Epoch [127/300], Step [40/51], Loss: 0.72835, Disc Loss: 1.38737, Dur Loss: 1.62093, CE Loss: 0.11200, Norm Loss: 1.43282, F0 Loss: 5.44681, LM Loss: 2.58615, Gen Loss: 22.17020
+INFO:2025-04-18 15:27:23,350: Epoch [127/300], Step [50/51], Loss: 0.76156, Disc Loss: 1.51192, Dur Loss: 1.67042, CE Loss: 0.10583, Norm Loss: 2.11735, F0 Loss: 7.98981, LM Loss: 2.93960, Gen Loss: 21.85237
+INFO:2025-04-18 15:28:19,001: Epoch [128/300], Step [10/51], Loss: 0.69804, Disc Loss: 1.77600, Dur Loss: 1.58138, CE Loss: 0.09152, Norm Loss: 1.28816, F0 Loss: 4.43691, LM Loss: 2.52751, Gen Loss: 20.26327
+INFO:2025-04-18 15:29:05,195: Epoch [128/300], Step [20/51], Loss: 0.72142, Disc Loss: 1.48329, Dur Loss: 1.49898, CE Loss: 0.09250, Norm Loss: 1.69866, F0 Loss: 5.23242, LM Loss: 2.74658, Gen Loss: 21.37479
+INFO:2025-04-18 15:29:50,883: Epoch [128/300], Step [30/51], Loss: 0.74270, Disc Loss: 1.65813, Dur Loss: 1.71558, CE Loss: 0.10803, Norm Loss: 1.87165, F0 Loss: 5.88348, LM Loss: 2.75855, Gen Loss: 21.98762
+INFO:2025-04-18 15:30:37,095: Epoch [128/300], Step [40/51], Loss: 0.69088, Disc Loss: 1.55697, Dur Loss: 1.55895, CE Loss: 0.09636, Norm Loss: 1.99482, F0 Loss: 5.82076, LM Loss: 2.77521, Gen Loss: 22.22829
+INFO:2025-04-18 15:31:22,589: Epoch [128/300], Step [50/51], Loss: 0.69761, Disc Loss: 1.57543, Dur Loss: 1.72242, CE Loss: 0.11146, Norm Loss: 1.50396, F0 Loss: 4.88149, LM Loss: 2.74449, Gen Loss: 21.05647
+INFO:2025-04-18 15:32:16,988: Epoch [129/300], Step [10/51], Loss: 0.71246, Disc Loss: 1.84265, Dur Loss: 1.90480, CE Loss: 0.12304, Norm Loss: 1.88812, F0 Loss: 5.03344, LM Loss: 2.66816, Gen Loss: 19.73085
+INFO:2025-04-18 15:33:03,794: Epoch [129/300], Step [20/51], Loss: 0.70643, Disc Loss: 1.56210, Dur Loss: 1.60423, CE Loss: 0.09154, Norm Loss: 2.15046, F0 Loss: 6.87261, LM Loss: 2.80719, Gen Loss: 21.45671
+INFO:2025-04-18 15:33:49,739: Epoch [129/300], Step [30/51], Loss: 0.66882, Disc Loss: 1.74786, Dur Loss: 1.76584, CE Loss: 0.11085, Norm Loss: 1.64746, F0 Loss: 5.27534, LM Loss: 2.51225, Gen Loss: 19.83878
+INFO:2025-04-18 15:34:36,811: Epoch [129/300], Step [40/51], Loss: 0.74728, Disc Loss: 1.49315, Dur Loss: 1.63868, CE Loss: 0.09517, Norm Loss: 1.76176, F0 Loss: 6.32942, LM Loss: 2.79456, Gen Loss: 20.85187
+INFO:2025-04-18 15:35:22,724: Epoch [129/300], Step [50/51], Loss: 0.72382, Disc Loss: 1.39077, Dur Loss: 1.65940, CE Loss: 0.10163, Norm Loss: 1.32565, F0 Loss: 4.82327, LM Loss: 2.61636, Gen Loss: 21.80355
+INFO:2025-04-18 15:36:18,189: Epoch [130/300], Step [10/51], Loss: 0.73898, Disc Loss: 1.68635, Dur Loss: 1.53166, CE Loss: 0.09818, Norm Loss: 1.94804, F0 Loss: 6.72585, LM Loss: 2.80148, Gen Loss: 22.33430
+INFO:2025-04-18 15:37:03,916: Epoch [130/300], Step [20/51], Loss: 0.70803, Disc Loss: 1.55894, Dur Loss: 1.64611, CE Loss: 0.11103, Norm Loss: 2.05098, F0 Loss: 7.19989, LM Loss: 2.73850, Gen Loss: 21.16522
+INFO:2025-04-18 15:37:50,024: Epoch [130/300], Step [30/51], Loss: 0.70840, Disc Loss: 1.61629, Dur Loss: 1.62780, CE Loss: 0.09708, Norm Loss: 2.04354, F0 Loss: 6.93855, LM Loss: 2.72223, Gen Loss: 21.51073
+INFO:2025-04-18 15:38:36,853: Epoch [130/300], Step [40/51], Loss: 0.70893, Disc Loss: 1.62183, Dur Loss: 1.70814, CE Loss: 0.10164, Norm Loss: 1.60531, F0 Loss: 5.64013, LM Loss: 2.70536, Gen Loss: 20.70845
+INFO:2025-04-18 15:39:22,929: Epoch [130/300], Step [50/51], Loss: 0.71651, Disc Loss: 1.35180, Dur Loss: 1.50795, CE Loss: 0.09196, Norm Loss: 1.73044, F0 Loss: 6.00319, LM Loss: 2.82193, Gen Loss: 22.31079
+INFO:2025-04-18 15:40:17,797: Epoch [131/300], Step [10/51], Loss: 0.70187, Disc Loss: 1.70114, Dur Loss: 1.71977, CE Loss: 0.09730, Norm Loss: 1.85581, F0 Loss: 5.90350, LM Loss: 2.71121, Gen Loss: 20.45699
+INFO:2025-04-18 15:41:03,955: Epoch [131/300], Step [20/51], Loss: 0.72944, Disc Loss: 1.55813, Dur Loss: 1.50680, CE Loss: 0.09612, Norm Loss: 1.83275, F0 Loss: 5.95074, LM Loss: 2.80271, Gen Loss: 21.74438
+INFO:2025-04-18 15:41:49,660: Epoch [131/300], Step [30/51], Loss: 0.74229, Disc Loss: 1.48639, Dur Loss: 1.56873, CE Loss: 0.09757, Norm Loss: 1.79761, F0 Loss: 5.11203, LM Loss: 2.78257, Gen Loss: 22.58566
+INFO:2025-04-18 15:42:36,429: Epoch [131/300], Step [40/51], Loss: 0.73857, Disc Loss: 1.54473, Dur Loss: 1.65319, CE Loss: 0.09355, Norm Loss: 1.76647, F0 Loss: 5.30007, LM Loss: 2.83869, Gen Loss: 21.97038
+INFO:2025-04-18 15:43:22,432: Epoch [131/300], Step [50/51], Loss: 0.70292, Disc Loss: 1.79015, Dur Loss: 1.62357, CE Loss: 0.08914, Norm Loss: 1.75559, F0 Loss: 5.61266, LM Loss: 2.73726, Gen Loss: 21.08898
+INFO:2025-04-18 15:44:17,408: Epoch [132/300], Step [10/51], Loss: 0.72114, Disc Loss: 2.08034, Dur Loss: 1.52696, CE Loss: 0.09223, Norm Loss: 1.70277, F0 Loss: 5.56475, LM Loss: 2.54166, Gen Loss: 19.21916
+INFO:2025-04-18 15:45:04,018: Epoch [132/300], Step [20/51], Loss: 0.73497, Disc Loss: 1.39564, Dur Loss: 1.53238, CE Loss: 0.09752, Norm Loss: 1.76223, F0 Loss: 5.74681, LM Loss: 2.67935, Gen Loss: 22.32729
+INFO:2025-04-18 15:45:50,244: Epoch [132/300], Step [30/51], Loss: 0.71196, Disc Loss: 1.41396, Dur Loss: 1.43106, CE Loss: 0.09217, Norm Loss: 1.88969, F0 Loss: 6.81368, LM Loss: 2.78982, Gen Loss: 21.78445
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+INFO:2025-04-18 15:48:15,399: Epoch [133/300], Step [10/51], Loss: 0.72125, Disc Loss: 1.70492, Dur Loss: 1.50818, CE Loss: 0.09065, Norm Loss: 1.86890, F0 Loss: 5.52945, LM Loss: 2.80143, Gen Loss: 20.84325
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+INFO:2025-04-18 15:54:32,425: Epoch [134/300], Step [40/51], Loss: 0.71694, Disc Loss: 1.37050, Dur Loss: 1.47274, CE Loss: 0.08928, Norm Loss: 1.71311, F0 Loss: 5.39703, LM Loss: 2.69079, Gen Loss: 22.52150
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+INFO:2025-04-18 16:01:43,619: Epoch [136/300], Step [30/51], Loss: 0.69402, Disc Loss: 1.42735, Dur Loss: 1.48650, CE Loss: 0.09585, Norm Loss: 1.84753, F0 Loss: 5.26166, LM Loss: 2.77733, Gen Loss: 22.00774
+INFO:2025-04-18 16:02:29,585: Epoch [136/300], Step [40/51], Loss: 0.73082, Disc Loss: 1.62180, Dur Loss: 1.58473, CE Loss: 0.10112, Norm Loss: 2.23092, F0 Loss: 7.36333, LM Loss: 2.96179, Gen Loss: 22.15228
+INFO:2025-04-18 16:03:15,217: Epoch [136/300], Step [50/51], Loss: 0.72151, Disc Loss: 1.60372, Dur Loss: 1.58247, CE Loss: 0.10125, Norm Loss: 1.52279, F0 Loss: 4.83158, LM Loss: 2.62718, Gen Loss: 21.10360
+INFO:2025-04-18 16:04:09,781: Epoch [137/300], Step [10/51], Loss: 0.69636, Disc Loss: 1.75927, Dur Loss: 1.60483, CE Loss: 0.09171, Norm Loss: 2.00238, F0 Loss: 6.41179, LM Loss: 2.72688, Gen Loss: 21.57783
+INFO:2025-04-18 16:04:55,809: Epoch [137/300], Step [20/51], Loss: 0.76926, Disc Loss: 1.57550, Dur Loss: 1.48971, CE Loss: 0.08762, Norm Loss: 2.01823, F0 Loss: 6.82610, LM Loss: 2.78322, Gen Loss: 21.19864
+INFO:2025-04-18 16:05:41,933: Epoch [137/300], Step [30/51], Loss: 0.70104, Disc Loss: 1.82691, Dur Loss: 1.56936, CE Loss: 0.08924, Norm Loss: 1.74202, F0 Loss: 4.92830, LM Loss: 2.55690, Gen Loss: 19.96529
+INFO:2025-04-18 16:06:28,090: Epoch [137/300], Step [40/51], Loss: 0.72281, Disc Loss: 1.38316, Dur Loss: 1.56116, CE Loss: 0.09695, Norm Loss: 1.91029, F0 Loss: 6.40155, LM Loss: 2.79073, Gen Loss: 22.75232
+INFO:2025-04-18 16:07:13,482: Epoch [137/300], Step [50/51], Loss: 0.71987, Disc Loss: 1.61136, Dur Loss: 1.43640, CE Loss: 0.08452, Norm Loss: 1.76554, F0 Loss: 5.85697, LM Loss: 2.79096, Gen Loss: 20.97458
+INFO:2025-04-18 16:08:07,760: Epoch [138/300], Step [10/51], Loss: 0.70229, Disc Loss: 1.44325, Dur Loss: 1.50003, CE Loss: 0.09249, Norm Loss: 1.90776, F0 Loss: 6.50449, LM Loss: 2.92987, Gen Loss: 21.82625
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+INFO:2025-04-18 16:09:40,398: Epoch [138/300], Step [30/51], Loss: 0.70730, Disc Loss: 1.55797, Dur Loss: 1.69608, CE Loss: 0.11163, Norm Loss: 2.13450, F0 Loss: 6.17456, LM Loss: 2.94029, Gen Loss: 22.27744
+INFO:2025-04-18 16:10:26,900: Epoch [138/300], Step [40/51], Loss: 0.70918, Disc Loss: 1.64017, Dur Loss: 1.48238, CE Loss: 0.09114, Norm Loss: 1.83448, F0 Loss: 5.60977, LM Loss: 2.76644, Gen Loss: 20.80763
+INFO:2025-04-18 16:11:12,069: Epoch [138/300], Step [50/51], Loss: 0.70695, Disc Loss: 1.51451, Dur Loss: 1.65174, CE Loss: 0.10392, Norm Loss: 1.94807, F0 Loss: 6.72444, LM Loss: 2.71956, Gen Loss: 21.13880
+INFO:2025-04-18 16:12:06,938: Epoch [139/300], Step [10/51], Loss: 0.73196, Disc Loss: 1.45775, Dur Loss: 1.63231, CE Loss: 0.09693, Norm Loss: 1.80402, F0 Loss: 5.82240, LM Loss: 2.84959, Gen Loss: 22.70061
+INFO:2025-04-18 16:12:52,970: Epoch [139/300], Step [20/51], Loss: 0.70828, Disc Loss: 1.89622, Dur Loss: 1.66855, CE Loss: 0.09732, Norm Loss: 1.64627, F0 Loss: 4.91935, LM Loss: 2.73569, Gen Loss: 20.48651
+INFO:2025-04-18 16:13:39,655: Epoch [139/300], Step [30/51], Loss: 0.71929, Disc Loss: 1.68728, Dur Loss: 1.62161, CE Loss: 0.09855, Norm Loss: 1.91611, F0 Loss: 6.37198, LM Loss: 2.73101, Gen Loss: 20.76619
+INFO:2025-04-18 16:14:25,672: Epoch [139/300], Step [40/51], Loss: 0.72096, Disc Loss: 1.71681, Dur Loss: 1.52025, CE Loss: 0.08575, Norm Loss: 1.98174, F0 Loss: 7.05483, LM Loss: 2.71829, Gen Loss: 19.95420
+INFO:2025-04-18 16:15:11,568: Epoch [139/300], Step [50/51], Loss: 0.70480, Disc Loss: 1.42098, Dur Loss: 1.60195, CE Loss: 0.10585, Norm Loss: 1.53185, F0 Loss: 5.67813, LM Loss: 2.66807, Gen Loss: 22.46370
+INFO:2025-04-18 16:16:05,793: Epoch [140/300], Step [10/51], Loss: 0.69474, Disc Loss: 1.40390, Dur Loss: 1.48907, CE Loss: 0.09329, Norm Loss: 1.83548, F0 Loss: 6.24370, LM Loss: 2.87934, Gen Loss: 22.41194
+INFO:2025-04-18 16:16:52,437: Epoch [140/300], Step [20/51], Loss: 0.70957, Disc Loss: 1.66897, Dur Loss: 1.52313, CE Loss: 0.09236, Norm Loss: 1.87393, F0 Loss: 6.11734, LM Loss: 2.81814, Gen Loss: 20.16586
+INFO:2025-04-18 16:17:37,942: Epoch [140/300], Step [30/51], Loss: 0.67417, Disc Loss: 1.39524, Dur Loss: 1.60554, CE Loss: 0.09327, Norm Loss: 1.58430, F0 Loss: 5.40994, LM Loss: 2.71398, Gen Loss: 21.87497
+INFO:2025-04-18 16:18:24,210: Epoch [140/300], Step [40/51], Loss: 0.72890, Disc Loss: 1.75907, Dur Loss: 1.48818, CE Loss: 0.09066, Norm Loss: 1.85664, F0 Loss: 5.66250, LM Loss: 2.66861, Gen Loss: 21.64431
+INFO:2025-04-18 16:19:10,383: Epoch [140/300], Step [50/51], Loss: 0.70449, Disc Loss: 2.01010, Dur Loss: 1.83636, CE Loss: 0.11255, Norm Loss: 1.56542, F0 Loss: 4.90854, LM Loss: 2.41372, Gen Loss: 18.62517
+INFO:2025-04-18 16:20:05,752: Epoch [141/300], Step [10/51], Loss: 0.68117, Disc Loss: 1.62279, Dur Loss: 1.80832, CE Loss: 0.12075, Norm Loss: 1.77715, F0 Loss: 4.45991, LM Loss: 2.61684, Gen Loss: 21.40449
+INFO:2025-04-18 16:20:52,423: Epoch [141/300], Step [20/51], Loss: 0.73648, Disc Loss: 1.42153, Dur Loss: 1.46376, CE Loss: 0.09236, Norm Loss: 1.92889, F0 Loss: 6.59154, LM Loss: 2.74510, Gen Loss: 22.73672
+INFO:2025-04-18 16:21:38,210: Epoch [141/300], Step [30/51], Loss: 0.70790, Disc Loss: 1.58450, Dur Loss: 1.55614, CE Loss: 0.10529, Norm Loss: 2.23542, F0 Loss: 6.37653, LM Loss: 2.77944, Gen Loss: 21.02949
+INFO:2025-04-18 16:22:23,376: Epoch [141/300], Step [40/51], Loss: 0.68609, Disc Loss: 1.75413, Dur Loss: 1.53149, CE Loss: 0.09295, Norm Loss: 1.49011, F0 Loss: 3.96931, LM Loss: 2.57614, Gen Loss: 19.58492
+INFO:2025-04-18 16:23:09,261: Epoch [141/300], Step [50/51], Loss: 0.72982, Disc Loss: 1.82111, Dur Loss: 1.59560, CE Loss: 0.11477, Norm Loss: 1.80731, F0 Loss: 5.47170, LM Loss: 2.61023, Gen Loss: 20.27613
+INFO:2025-04-18 16:24:04,018: Epoch [142/300], Step [10/51], Loss: 0.71952, Disc Loss: 1.59054, Dur Loss: 1.48641, CE Loss: 0.10733, Norm Loss: 1.61152, F0 Loss: 5.37010, LM Loss: 2.63957, Gen Loss: 22.02820
+INFO:2025-04-18 16:24:50,599: Epoch [142/300], Step [20/51], Loss: 0.71727, Disc Loss: 1.52242, Dur Loss: 1.38920, CE Loss: 0.09703, Norm Loss: 1.78007, F0 Loss: 5.99503, LM Loss: 2.63352, Gen Loss: 22.36793