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  1. DUR_11000.pth +3 -0
  2. DUR_12000.pth +3 -0
  3. DUR_13000.pth +3 -0
  4. D_11000.pth +3 -0
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  7. G_11000.pth +3 -0
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  9. G_13000.pth +3 -0
  10. eval/events.out.tfevents.1754357486.8dab2acf7ca8.323.1 +3 -0
  11. events.out.tfevents.1754357486.8dab2acf7ca8.323.0 +3 -0
  12. train.log +206 -0
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  2025-07-31 09:01:09,636 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/G_7000.pth
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  2025-07-31 09:01:09,916 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/D_7000.pth
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  2025-07-31 09:01:10,812 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/DUR_7000.pth
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  2025-07-31 09:01:09,636 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/G_7000.pth
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  2025-07-31 09:01:09,916 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/D_7000.pth
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  2025-07-31 09:01:10,812 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/DUR_7000.pth
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+ 2025-08-05 01:31:26,819 test INFO {'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 1000, 'learning_rate': 0.0002, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 32, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 8192, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'fft_sizes': [384, 683, 171], 'hop_sizes': [30, 60, 10], 'win_lengths': [150, 300, 60], 'window': 'hann_window'}, 'data': {'use_mel_posterior_encoder': True, 'training_files': 'filelists/train.txt.cleaned', 'validation_files': 'filelists/val.txt.cleaned', 'text_cleaners': ['mongolian_cleaners'], 'max_wav_value': 32768.0, 'sampling_rate': 22050, 'filter_length': 1024, 'hop_length': 256, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 0, 'cleaned_text': True}, 'model': {'model_dir': '/kaggle/working/MB-iSTFT-VITS2/logs/models/test', 'monotonic_align': 'sma_v1', 'use_mel_posterior_encoder': True, 'use_transformer_flows': True, 'transformer_flow_type': 'pre_conv2', 'use_spk_conditioned_encoder': False, 'use_noise_scaled_mas': True, 'use_duration_discriminator': True, 'duration_discriminator_type': 'dur_disc_2', 'ms_istft_vits': False, 'mb_istft_vits': False, 'istft_vits': True, 'subbands': False, 'gen_istft_n_fft': 16, 'gen_istft_hop_size': 4, 'inter_channels': 192, 'hidden_channels': 96, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 3, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8], 'upsample_initial_channel': 256, 'upsample_kernel_sizes': [16, 16], 'n_layers_q': 3, 'use_spectral_norm': False, 'use_sdp': False}, 'model_dir': './logs/models/test'}
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+ 2025-08-05 01:31:32,699 test INFO Loaded checkpoint './logs/models/test/G_7000.pth' (iteration 135)
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+ 2025-08-05 01:31:33,305 test INFO Loaded checkpoint './logs/models/test/D_7000.pth' (iteration 135)
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+ 2025-08-05 01:31:33,332 test INFO Loaded checkpoint './logs/models/test/DUR_7000.pth' (iteration 135)
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+ 2025-08-05 01:35:25,612 test INFO Train Epoch: 135 [62%]
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+ 2025-08-05 01:35:25,613 test INFO [2.6416471004486084, 2.127274990081787, 3.719663143157959, 21.127988815307617, 0.4699975252151489, 1.6310991048812866, 0.0, 7000, 0.00019662852799164733]
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+ 2025-08-05 01:35:36,507 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/G_7000.pth
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+ 2025-08-05 01:35:36,888 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/D_7000.pth
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+ 2025-08-05 01:35:38,395 test INFO Saving model and optimizer state at iteration 135 to ./logs/models/test/DUR_7000.pth
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+ 2025-08-05 01:37:01,448 test INFO ====> Epoch: 135
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+ 2025-08-05 01:41:15,020 test INFO ====> Epoch: 136
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+ 2025-08-05 01:48:58,990 test INFO ====> Epoch: 138
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+ 2025-08-05 01:51:18,708 test INFO Train Epoch: 139 [46%]
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+ 2025-08-05 01:51:18,709 test INFO [2.739175319671631, 2.2061281204223633, 3.912578582763672, 21.5425968170166, 0.5628865957260132, 1.604141116142273, 0.0, 7200, 0.00019653023216003985]
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+ 2025-08-05 01:52:47,469 test INFO ====> Epoch: 139
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+ 2025-08-05 02:05:51,635 test INFO [2.5129570960998535, 2.2129294872283936, 3.715583086013794, 20.146846771240234, 0.5234112739562988, 1.5569653511047363, 0.0, 7400, 0.0001964319854671337]
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+ 2025-08-05 02:07:40,650 test INFO ====> Epoch: 143
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+ 2025-08-05 02:20:09,074 test INFO Train Epoch: 147 [15%]
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+ 2025-08-05 02:20:09,074 test INFO [2.5928714275360107, 2.0175251960754395, 3.470730781555176, 20.357799530029297, 0.5219050645828247, 1.5567798614501953, 0.0, 7600, 0.00019633378788836418]
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+ 2025-08-05 02:22:17,838 test INFO ====> Epoch: 147
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+ 2025-08-05 02:34:27,034 test INFO Train Epoch: 151 [0%]
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+ 2025-08-05 02:34:27,034 test INFO [2.4691808223724365, 2.144906997680664, 3.800124406814575, 20.430051803588867, 0.49702444672584534, 1.4956233501434326, 0.0, 7800, 0.00019623563939917877]
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+ 2025-08-05 02:36:56,932 test INFO ====> Epoch: 151
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+ 2025-08-05 02:47:27,319 test INFO Train Epoch: 154 [85%]
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+ 2025-08-05 02:47:27,319 test INFO [2.649805784225464, 2.1071085929870605, 3.80672287940979, 20.531841278076172, 0.523084819316864, 1.6037907600402832, 0.0, 8000, 0.00019616206023256638]
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+ 2025-08-05 02:47:37,221 test INFO Saving model and optimizer state at iteration 154 to ./logs/models/test/G_8000.pth
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+ 2025-08-05 02:48:06,523 test INFO ====> Epoch: 154
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+ 2025-08-05 02:51:43,762 test INFO ====> Epoch: 155
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+ 2025-08-05 02:58:58,648 test INFO ====> Epoch: 157
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+ 2025-08-05 03:01:59,096 test INFO Train Epoch: 158 [69%]
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+ 2025-08-05 03:01:59,096 test INFO [2.579768419265747, 2.147030830383301, 3.331496238708496, 19.6187744140625, 0.4969739317893982, 1.5727837085723877, 0.0, 8200, 0.00019606399759111075]
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+ 2025-08-05 03:02:50,927 test INFO ====> Epoch: 158
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+ 2025-08-05 03:16:52,771 test INFO [2.5656967163085938, 2.073058843612671, 3.719477891921997, 20.46259880065918, 0.5137536525726318, 1.610198974609375, 0.0, 8400, 0.00019596598397178324]
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+ 2025-08-05 03:18:10,090 test INFO ====> Epoch: 162
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+ 2025-08-05 03:31:48,028 test INFO Train Epoch: 166 [38%]
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+ 2025-08-05 03:31:48,029 test INFO [2.6556057929992676, 2.0532360076904297, 3.861314535140991, 19.56197166442871, 0.5389214158058167, 1.7225737571716309, 0.0, 8600, 0.0001958680193500774]
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+ 2025-08-05 03:33:21,947 test INFO ====> Epoch: 166
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+ 2025-08-05 03:44:37,128 test INFO ====> Epoch: 169
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+ 2025-08-05 03:46:25,351 test INFO Train Epoch: 170 [23%]
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+ 2025-08-05 03:46:25,352 test INFO [2.602020740509033, 1.983532190322876, 3.2786247730255127, 19.882503509521484, 0.5059917569160461, 1.6561806201934814, 0.0, 8800, 0.000195770103701499]
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+ 2025-08-05 03:48:23,886 test INFO ====> Epoch: 170
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+ 2025-08-05 03:52:11,834 test INFO ====> Epoch: 171
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+ 2025-08-05 03:59:42,335 test INFO ====> Epoch: 173
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+ 2025-08-05 04:01:06,925 test INFO Train Epoch: 174 [8%]
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+ 2025-08-05 04:01:06,926 test INFO [2.5075738430023193, 2.0715651512145996, 4.109845161437988, 20.48468780517578, 0.5117015838623047, 1.5766454935073853, 0.0, 9000, 0.00019567223700156603]
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+ 2025-08-05 04:01:17,903 test INFO Saving model and optimizer state at iteration 174 to ./logs/models/test/G_9000.pth
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+ 2025-08-05 04:01:18,178 test INFO Saving model and optimizer state at iteration 174 to ./logs/models/test/D_9000.pth
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+ 2025-08-05 04:01:19,095 test INFO Saving model and optimizer state at iteration 174 to ./logs/models/test/DUR_9000.pth
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+ 2025-08-05 04:03:38,225 test INFO ====> Epoch: 174
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+ 2025-08-05 04:07:21,704 test INFO ====> Epoch: 175
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+ 2025-08-05 04:11:04,727 test INFO ====> Epoch: 176
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+ 2025-08-05 04:14:27,444 test INFO Train Epoch: 177 [92%]
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+ 2025-08-05 04:14:27,445 test INFO [2.6804802417755127, 2.1516778469085693, 4.191956996917725, 20.505977630615234, 0.4566020369529724, 1.836585521697998, 0.0, 9200, 0.00019559886908444434]
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+ 2025-08-05 04:14:47,484 test INFO ====> Epoch: 177
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+ 2025-08-05 04:18:26,001 test INFO ====> Epoch: 178
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+ 2025-08-05 04:25:38,626 test INFO ====> Epoch: 180
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+ 2025-08-05 04:28:35,125 test INFO Train Epoch: 181 [77%]
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+ 2025-08-05 04:28:35,125 test INFO [2.4594314098358154, 2.4892454147338867, 4.455545425415039, 20.477157592773438, 0.5028854608535767, 1.607441782951355, 0.0, 9400, 0.000195501087985768]
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+ 2025-08-05 04:29:14,563 test INFO ====> Epoch: 181
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+ 2025-08-05 04:32:52,387 test INFO ====> Epoch: 182
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+ 2025-08-05 04:36:31,040 test INFO ====> Epoch: 183
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+ 2025-08-05 04:40:06,619 test INFO ====> Epoch: 184
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+ 2025-08-05 04:42:45,054 test INFO Train Epoch: 185 [62%]
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+ 2025-08-05 04:42:45,054 test INFO [2.5319314002990723, 2.2680299282073975, 3.647360324859619, 19.988113403320312, 0.5179519653320312, 1.5068033933639526, 0.0, 9600, 0.0001954033557684748]
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+ 2025-08-05 04:43:44,382 test INFO ====> Epoch: 185
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+ 2025-08-05 04:47:19,766 test INFO ====> Epoch: 186
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+ 2025-08-05 04:50:55,017 test INFO ====> Epoch: 187
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+ 2025-08-05 04:54:30,539 test INFO ====> Epoch: 188
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+ 2025-08-05 04:56:44,147 test INFO Train Epoch: 189 [46%]
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+ 2025-08-05 04:56:44,147 test INFO [2.6491658687591553, 2.119560956954956, 3.822805404663086, 20.206140518188477, 0.5193471908569336, 1.6161415576934814, 0.0, 9800, 0.00019530567240812858]
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+ 2025-08-05 04:58:10,596 test INFO ====> Epoch: 189
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+ 2025-08-05 05:01:49,133 test INFO ====> Epoch: 190
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+ 2025-08-05 05:09:09,202 test INFO ====> Epoch: 192
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+ 2025-08-05 05:11:03,413 test INFO Train Epoch: 193 [31%]
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+ 2025-08-05 05:11:03,414 test INFO [2.478689193725586, 2.314779281616211, 4.181034088134766, 20.31623077392578, 0.46846258640289307, 1.5101802349090576, 0.0, 10000, 0.0001952080378803055]
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+ 2025-08-05 05:11:13,536 test INFO Saving model and optimizer state at iteration 193 to ./logs/models/test/G_10000.pth
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+ 2025-08-05 05:11:13,808 test INFO Saving model and optimizer state at iteration 193 to ./logs/models/test/D_10000.pth
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+ 2025-08-05 05:11:14,704 test INFO Saving model and optimizer state at iteration 193 to ./logs/models/test/DUR_10000.pth
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+ 2025-08-05 05:13:00,247 test INFO ====> Epoch: 193
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+ 2025-08-05 05:16:39,519 test INFO ====> Epoch: 194
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+ 2025-08-05 05:20:18,868 test INFO ====> Epoch: 195
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+ 2025-08-05 05:23:56,645 test INFO ====> Epoch: 196
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+ 2025-08-05 05:25:28,183 test INFO Train Epoch: 197 [15%]
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+ 2025-08-05 05:25:28,184 test INFO [2.6134955883026123, 2.067080020904541, 4.091482639312744, 20.136301040649414, 0.46623557806015015, 1.619112491607666, 0.0, 10200, 0.00019511045216059385]
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+ 2025-08-05 05:27:36,584 test INFO ====> Epoch: 197
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+ 2025-08-05 05:31:15,926 test INFO ====> Epoch: 198
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+ 2025-08-05 05:34:54,174 test INFO ====> Epoch: 199
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+ 2025-08-05 05:38:30,122 test INFO ====> Epoch: 200
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+ 2025-08-05 05:39:39,397 test INFO Train Epoch: 201 [0%]
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+ 2025-08-05 05:39:39,398 test INFO [2.476996421813965, 2.1436283588409424, 4.032958507537842, 19.478801727294922, 0.5170520544052124, 1.6105341911315918, 0.0, 10400, 0.00019501291522459419]
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+ 2025-08-05 05:42:06,662 test INFO ====> Epoch: 201
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+ 2025-08-05 05:45:42,811 test INFO ====> Epoch: 202
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+ 2025-08-05 05:49:21,582 test INFO ====> Epoch: 203
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+ 2025-08-05 05:52:30,417 test INFO Train Epoch: 204 [85%]
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+ 2025-08-05 05:52:30,417 test INFO [2.483860731124878, 2.4794540405273438, 4.472625732421875, 21.356765747070312, 0.5004539489746094, 1.6132322549819946, 0.0, 10600, 0.00019493979452223445]
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+ 2025-08-05 05:53:00,255 test INFO ====> Epoch: 204
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+ 2025-08-05 06:00:13,774 test INFO ====> Epoch: 206
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+ 2025-08-05 06:06:40,609 test INFO Train Epoch: 208 [69%]
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+ 2025-08-05 06:06:40,610 test INFO [2.7026138305664062, 1.9693485498428345, 4.192020416259766, 20.380239486694336, 0.4474179148674011, 1.561622977256775, 0.0, 10800, 0.0001948423428990561]
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+ 2025-08-05 06:07:31,148 test INFO ====> Epoch: 208
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+ 2025-08-05 06:11:09,991 test INFO ====> Epoch: 209
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+ 2025-08-05 06:14:46,483 test INFO ====> Epoch: 210
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+ 2025-08-05 08:41:14,863 test INFO [2.5391082763671875, 2.487997055053711, 4.402265548706055, 19.362823486328125, 0.4906901717185974, 1.7380026578903198, 0.0, 13000, 0.0001937978097191345]
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