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32k-est/G_6000.pth

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32k-est/config.json

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+{
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 1000,
+    "seed": 1234,
+    "epochs": 10000,
+    "learning_rate": 0.0001,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 6,
+    "fp16_run": false,
+    "lr_decay": 0.999875,
+    "segment_size": 17920,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "use_sr": true,
+    "max_speclen": 384,
+    "port": "8001"
+  },
+  "data": {
+    "training_files": "filelists/train.txt",
+    "validation_files": "filelists/val.txt",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 32000,
+    "filter_length": 1280,
+    "hop_length": 320,
+    "win_length": 1280,
+    "n_mel_channels": 80,
+    "mel_fmin": 0.0,
+    "mel_fmax": null
+  },
+  "model": {
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "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": [
+      10,
+      8,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      4,
+      4
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256,
+    "ssl_dim": 256,
+    "n_speakers": 2
+  },
+  "spk": {
+    "est": 0
+  }
+}

32k-est/train.log

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+2023-02-22 00:08:12,618	32k	INFO	{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, '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': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'est': 0}, 'model_dir': './logs\\32k'}
+2023-02-22 00:08:12,618	32k	WARNING	K:\AI\so-vits-svc-32k is not a git repository, therefore hash value comparison will be ignored.
+2023-02-22 00:08:34,870	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
+2023-02-22 00:08:37,960	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
+2023-02-22 00:09:12,596	32k	INFO	Train Epoch: 1 [0%]
+2023-02-22 00:09:12,597	32k	INFO	[2.145352363586426, 3.4001522064208984, 12.26406478881836, 40.874549865722656, 8.646808624267578, 0, 0.0001]
+2023-02-22 00:09:19,053	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
+2023-02-22 00:09:37,859	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
+2023-02-22 00:11:10,285	32k	INFO	====> Epoch: 1
+2023-02-22 00:12:56,112	32k	INFO	====> Epoch: 2
+2023-02-22 00:13:21,893	32k	INFO	Train Epoch: 3 [4%]
+2023-02-22 00:13:21,893	32k	INFO	[2.3486380577087402, 2.4642438888549805, 14.349164009094238, 24.486454010009766, 1.6935454607009888, 200, 9.99750015625e-05]
+2023-02-22 00:14:42,277	32k	INFO	====> Epoch: 3
+2023-02-22 00:16:27,846	32k	INFO	====> Epoch: 4
+2023-02-22 00:16:56,860	32k	INFO	Train Epoch: 5 [8%]
+2023-02-22 00:16:56,860	32k	INFO	[2.4858646392822266, 2.255676746368408, 11.70196533203125, 19.060020446777344, 1.3148207664489746, 400, 9.995000937421877e-05]
+2023-02-22 00:18:13,793	32k	INFO	====> Epoch: 5
+2023-02-22 00:19:59,483	32k	INFO	====> Epoch: 6
+2023-02-22 00:20:31,940	32k	INFO	Train Epoch: 7 [12%]
+2023-02-22 00:20:31,940	32k	INFO	[2.3629703521728516, 2.449742078781128, 9.971107482910156, 18.171764373779297, 1.2438346147537231, 600, 9.99250234335941e-05]
+2023-02-22 00:21:45,560	32k	INFO	====> Epoch: 7
+2023-02-22 00:23:31,255	32k	INFO	====> Epoch: 8
+2023-02-22 00:24:07,127	32k	INFO	Train Epoch: 9 [16%]
+2023-02-22 00:24:07,127	32k	INFO	[2.7334389686584473, 2.1502294540405273, 7.149779319763184, 18.11358642578125, 1.2457014322280884, 800, 9.990004373906418e-05]
+2023-02-22 00:25:17,128	32k	INFO	====> Epoch: 9
+2023-02-22 00:27:02,598	32k	INFO	====> Epoch: 10
+2023-02-22 00:27:41,816	32k	INFO	Train Epoch: 11 [20%]
+2023-02-22 00:27:41,816	32k	INFO	[2.525851011276245, 2.173820734024048, 10.240619659423828, 18.13275146484375, 1.0487183332443237, 1000, 9.987507028906759e-05]
+2023-02-22 00:27:46,068	32k	INFO	Saving model and optimizer state at iteration 11 to ./logs\32k\G_1000.pth
+2023-02-22 00:28:05,134	32k	INFO	Saving model and optimizer state at iteration 11 to ./logs\32k\D_1000.pth
+2023-02-22 00:29:14,629	32k	INFO	====> Epoch: 11
+2023-02-22 00:31:00,159	32k	INFO	====> Epoch: 12
+2023-02-22 00:31:42,863	32k	INFO	Train Epoch: 13 [24%]
+2023-02-22 00:31:42,863	32k	INFO	[2.4192304611206055, 2.4427719116210938, 12.2838773727417, 23.12200164794922, 1.0217249393463135, 1200, 9.98501030820433e-05]
+2023-02-22 00:32:46,074	32k	INFO	====> Epoch: 13
+2023-02-22 00:34:31,694	32k	INFO	====> Epoch: 14
+2023-02-22 00:35:17,797	32k	INFO	Train Epoch: 15 [29%]
+2023-02-22 00:35:17,798	32k	INFO	[2.5181407928466797, 2.393437385559082, 8.553373336791992, 21.508071899414062, 0.9627037048339844, 1400, 9.982514211643064e-05]
+2023-02-22 00:36:17,539	32k	INFO	====> Epoch: 15
+2023-02-22 00:38:03,121	32k	INFO	====> Epoch: 16
+2023-02-22 00:38:52,596	32k	INFO	Train Epoch: 17 [33%]
+2023-02-22 00:38:52,597	32k	INFO	[2.3772032260894775, 2.1716203689575195, 12.80620002746582, 22.022525787353516, 1.2130091190338135, 1600, 9.980018739066937e-05]
+2023-02-22 00:39:48,945	32k	INFO	====> Epoch: 17
+2023-02-22 00:41:34,608	32k	INFO	====> Epoch: 18
+2023-02-22 00:42:27,609	32k	INFO	Train Epoch: 19 [37%]
+2023-02-22 00:42:27,609	32k	INFO	[2.588810920715332, 2.084688901901245, 10.23686408996582, 17.19050407409668, 1.0559662580490112, 1800, 9.977523890319963e-05]
+2023-02-22 00:43:20,562	32k	INFO	====> Epoch: 19
+2023-02-22 00:45:06,198	32k	INFO	====> Epoch: 20
+2023-02-22 00:46:02,554	32k	INFO	Train Epoch: 21 [41%]
+2023-02-22 00:46:02,555	32k	INFO	[2.3476009368896484, 2.4465882778167725, 14.103896141052246, 22.818317413330078, 0.7795078158378601, 2000, 9.975029665246193e-05]
+2023-02-22 00:46:06,816	32k	INFO	Saving model and optimizer state at iteration 21 to ./logs\32k\G_2000.pth
+2023-02-22 00:46:24,690	32k	INFO	Saving model and optimizer state at iteration 21 to ./logs\32k\D_2000.pth
+2023-02-22 00:47:17,669	32k	INFO	====> Epoch: 21
+2023-02-22 00:49:03,347	32k	INFO	====> Epoch: 22
+2023-02-22 00:50:03,181	32k	INFO	Train Epoch: 23 [45%]
+2023-02-22 00:50:03,181	32k	INFO	[2.331178903579712, 2.411133289337158, 13.773752212524414, 21.044940948486328, 1.075492262840271, 2200, 9.972536063689719e-05]
+2023-02-22 00:50:49,196	32k	INFO	====> Epoch: 23
+2023-02-22 00:52:35,089	32k	INFO	====> Epoch: 24
+2023-02-22 00:53:38,492	32k	INFO	Train Epoch: 25 [49%]
+2023-02-22 00:53:38,492	32k	INFO	[2.7379379272460938, 2.1680490970611572, 10.426996231079102, 19.272850036621094, 1.2769395112991333, 2400, 9.970043085494672e-05]
+2023-02-22 00:54:21,188	32k	INFO	====> Epoch: 25
+2023-02-22 00:56:06,784	32k	INFO	====> Epoch: 26
+2023-02-22 00:57:13,707	32k	INFO	Train Epoch: 27 [53%]
+2023-02-22 00:57:13,707	32k	INFO	[2.4311702251434326, 2.5075151920318604, 9.771134376525879, 13.715150833129883, 0.9923850297927856, 2600, 9.967550730505221e-05]
+2023-02-22 00:57:53,034	32k	INFO	====> Epoch: 27
+2023-02-22 00:59:38,682	32k	INFO	====> Epoch: 28
+2023-02-22 01:00:48,916	32k	INFO	Train Epoch: 29 [57%]
+2023-02-22 01:00:48,916	32k	INFO	[2.397207736968994, 2.2835323810577393, 11.884821891784668, 21.50246810913086, 0.7772465944290161, 2800, 9.965058998565574e-05]
+2023-02-22 01:01:24,697	32k	INFO	====> Epoch: 29
+2023-02-22 01:03:10,447	32k	INFO	====> Epoch: 30
+2023-02-22 01:04:23,993	32k	INFO	Train Epoch: 31 [61%]
+2023-02-22 01:04:23,994	32k	INFO	[2.4665157794952393, 2.223632574081421, 10.100894927978516, 15.292652130126953, 1.0024449825286865, 3000, 9.962567889519979e-05]
+2023-02-22 01:04:28,221	32k	INFO	Saving model and optimizer state at iteration 31 to ./logs\32k\G_3000.pth
+2023-02-22 01:04:48,543	32k	INFO	Saving model and optimizer state at iteration 31 to ./logs\32k\D_3000.pth
+2023-02-22 01:05:24,206	32k	INFO	====> Epoch: 31
+2023-02-22 01:07:09,674	32k	INFO	====> Epoch: 32
+2023-02-22 01:08:26,794	32k	INFO	Train Epoch: 33 [65%]
+2023-02-22 01:08:26,795	32k	INFO	[2.4395065307617188, 2.381229877471924, 11.58455753326416, 21.415176391601562, 1.0025029182434082, 3200, 9.960077403212722e-05]
+2023-02-22 01:08:55,697	32k	INFO	====> Epoch: 33
+2023-02-22 01:10:41,472	32k	INFO	====> Epoch: 34
+2023-02-22 01:12:02,104	32k	INFO	Train Epoch: 35 [69%]
+2023-02-22 01:12:02,105	32k	INFO	[2.388833522796631, 2.4029440879821777, 9.948843002319336, 17.525562286376953, 0.9836262464523315, 3400, 9.957587539488128e-05]
+2023-02-22 01:12:27,570	32k	INFO	====> Epoch: 35
+2023-02-22 01:14:13,128	32k	INFO	====> Epoch: 36
+2023-02-22 01:15:37,186	32k	INFO	Train Epoch: 37 [73%]
+2023-02-22 01:15:37,187	32k	INFO	[2.396942615509033, 2.3084261417388916, 7.296802997589111, 13.69768238067627, 0.9189913868904114, 3600, 9.95509829819056e-05]
+2023-02-22 01:15:59,261	32k	INFO	====> Epoch: 37
+2023-02-22 01:17:45,166	32k	INFO	====> Epoch: 38
+2023-02-22 01:19:12,693	32k	INFO	Train Epoch: 39 [78%]
+2023-02-22 01:19:12,694	32k	INFO	[2.34450626373291, 2.3164803981781006, 13.175307273864746, 21.369274139404297, 0.5636721849441528, 3800, 9.952609679164422e-05]
+2023-02-22 01:19:31,254	32k	INFO	====> Epoch: 39
+2023-02-22 01:21:17,022	32k	INFO	====> Epoch: 40
+2023-02-22 01:22:47,780	32k	INFO	Train Epoch: 41 [82%]
+2023-02-22 01:22:47,781	32k	INFO	[2.6599762439727783, 2.186920642852783, 8.917391777038574, 14.608092308044434, 0.7955180406570435, 4000, 9.950121682254156e-05]
+2023-02-22 01:22:52,052	32k	INFO	Saving model and optimizer state at iteration 41 to ./logs\32k\G_4000.pth
+2023-02-22 01:23:13,030	32k	INFO	Saving model and optimizer state at iteration 41 to ./logs\32k\D_4000.pth
+2023-02-22 01:23:31,585	32k	INFO	====> Epoch: 41
+2023-02-22 01:25:17,001	32k	INFO	====> Epoch: 42
+2023-02-22 01:26:51,140	32k	INFO	Train Epoch: 43 [86%]
+2023-02-22 01:26:51,141	32k	INFO	[2.218780994415283, 2.8232128620147705, 10.92943286895752, 15.00414752960205, 0.885425865650177, 4200, 9.947634307304244e-05]
+2023-02-22 01:27:02,817	32k	INFO	====> Epoch: 43
+2023-02-22 01:28:48,594	32k	INFO	====> Epoch: 44
+2023-02-22 01:30:26,338	32k	INFO	Train Epoch: 45 [90%]
+2023-02-22 01:30:26,338	32k	INFO	[2.6101627349853516, 2.4599862098693848, 10.045958518981934, 18.106704711914062, 0.9387855529785156, 4400, 9.945147554159202e-05]
+2023-02-22 01:30:34,593	32k	INFO	====> Epoch: 45
+2023-02-22 01:32:20,323	32k	INFO	====> Epoch: 46
+2023-02-22 01:34:01,568	32k	INFO	Train Epoch: 47 [94%]
+2023-02-22 01:34:01,569	32k	INFO	[2.4062795639038086, 2.434760093688965, 9.70323371887207, 17.096527099609375, 0.6637702584266663, 4600, 9.942661422663591e-05]
+2023-02-22 01:34:06,513	32k	INFO	====> Epoch: 47
+2023-02-22 01:35:52,323	32k	INFO	====> Epoch: 48
+2023-02-22 01:37:36,966	32k	INFO	Train Epoch: 49 [98%]
+2023-02-22 01:37:36,967	32k	INFO	[2.4078311920166016, 2.423760175704956, 11.222769737243652, 20.222986221313477, 0.9975738525390625, 4800, 9.940175912662009e-05]
+2023-02-22 01:37:38,357	32k	INFO	====> Epoch: 49
+2023-02-22 01:39:23,989	32k	INFO	====> Epoch: 50
+2023-02-22 01:41:09,562	32k	INFO	====> Epoch: 51
+2023-02-22 01:41:33,357	32k	INFO	Train Epoch: 52 [2%]
+2023-02-22 01:41:33,358	32k	INFO	[2.568455934524536, 2.097076177597046, 8.081390380859375, 16.72420310974121, 1.0670697689056396, 5000, 9.936448812621091e-05]
+2023-02-22 01:41:37,575	32k	INFO	Saving model and optimizer state at iteration 52 to ./logs\32k\G_5000.pth
+2023-02-22 01:41:53,583	32k	INFO	Saving model and optimizer state at iteration 52 to ./logs\32k\D_5000.pth
+2023-02-22 01:43:19,034	32k	INFO	====> Epoch: 52
+2023-02-22 01:45:04,531	32k	INFO	====> Epoch: 53
+2023-02-22 01:45:31,828	32k	INFO	Train Epoch: 54 [6%]
+2023-02-22 01:45:31,829	32k	INFO	[2.367290735244751, 2.359792947769165, 12.402170181274414, 22.279163360595703, 0.5312451124191284, 5200, 9.933964855674948e-05]
+2023-02-22 01:46:50,519	32k	INFO	====> Epoch: 54
+2023-02-22 01:48:36,114	32k	INFO	====> Epoch: 55
+2023-02-22 01:49:06,731	32k	INFO	Train Epoch: 56 [10%]
+2023-02-22 01:49:06,731	32k	INFO	[2.4941694736480713, 2.2833311557769775, 11.451539039611816, 18.980377197265625, 1.122371792793274, 5400, 9.931481519679228e-05]
+2023-02-22 01:50:22,005	32k	INFO	====> Epoch: 56
+2023-02-22 01:52:08,000	32k	INFO	====> Epoch: 57
+2023-02-22 01:52:43,577	32k	INFO	Train Epoch: 58 [14%]
+2023-02-22 01:52:43,577	32k	INFO	[2.5777227878570557, 2.013221025466919, 7.400770664215088, 16.267370223999023, 0.9109489917755127, 5600, 9.928998804478705e-05]
+2023-02-22 01:53:55,400	32k	INFO	====> Epoch: 58
+2023-02-22 01:55:41,267	32k	INFO	====> Epoch: 59
+2023-02-22 01:56:18,836	32k	INFO	Train Epoch: 60 [18%]
+2023-02-22 01:56:18,837	32k	INFO	[2.3286633491516113, 2.273066282272339, 11.276134490966797, 19.17591667175293, 0.6657251715660095, 5800, 9.926516709918191e-05]
+2023-02-22 01:57:27,294	32k	INFO	====> Epoch: 60
+2023-02-22 01:59:12,967	32k	INFO	====> Epoch: 61
+2023-02-22 01:59:53,907	32k	INFO	Train Epoch: 62 [22%]
+2023-02-22 01:59:53,907	32k	INFO	[2.572532892227173, 2.336395025253296, 12.095869064331055, 18.98446273803711, 0.7074256539344788, 6000, 9.924035235842533e-05]
+2023-02-22 01:59:58,246	32k	INFO	Saving model and optimizer state at iteration 62 to ./logs\32k\G_6000.pth
+2023-02-22 02:00:15,073	32k	INFO	Saving model and optimizer state at iteration 62 to ./logs\32k\D_6000.pth
+2023-02-22 02:01:23,134	32k	INFO	====> Epoch: 62
+2023-02-22 02:03:08,840	32k	INFO	====> Epoch: 63
+2023-02-22 02:03:53,319	32k	INFO	Train Epoch: 64 [27%]
+2023-02-22 02:03:53,320	32k	INFO	[2.5473315715789795, 2.3198702335357666, 8.785454750061035, 16.218992233276367, 0.8188357949256897, 6200, 9.921554382096622e-05]
+2023-02-22 02:04:54,908	32k	INFO	====> Epoch: 64
+2023-02-22 02:06:40,700	32k	INFO	====> Epoch: 65
+2023-02-22 02:07:28,567	32k	INFO	Train Epoch: 66 [31%]
+2023-02-22 02:07:28,567	32k	INFO	[2.507612705230713, 2.3138248920440674, 6.625302791595459, 13.481208801269531, 0.4462297260761261, 6400, 9.919074148525384e-05]
+2023-02-22 02:08:26,757	32k	INFO	====> Epoch: 66
+2023-02-22 02:10:12,508	32k	INFO	====> Epoch: 67
+2023-02-22 02:11:03,725	32k	INFO	Train Epoch: 68 [35%]
+2023-02-22 02:11:03,725	32k	INFO	[2.5980536937713623, 2.279015064239502, 7.950907230377197, 13.451935768127441, 1.1401939392089844, 6600, 9.916594534973787e-05]
+2023-02-22 02:11:58,445	32k	INFO	====> Epoch: 68
+2023-02-22 02:13:44,135	32k	INFO	====> Epoch: 69
+2023-02-22 02:14:38,891	32k	INFO	Train Epoch: 70 [39%]
+2023-02-22 02:14:38,892	32k	INFO	[2.5319972038269043, 2.51550030708313, 10.939152717590332, 19.677751541137695, 0.63681960105896, 6800, 9.914115541286833e-05]
+2023-02-22 02:15:30,175	32k	INFO	====> Epoch: 70
+2023-02-22 02:17:15,908	32k	INFO	====> Epoch: 71
+2023-02-22 02:18:14,245	32k	INFO	Train Epoch: 72 [43%]
+2023-02-22 02:18:14,245	32k	INFO	[2.5482029914855957, 2.192294120788574, 9.581657409667969, 15.53216552734375, 1.2906405925750732, 7000, 9.911637167309565e-05]
+2023-02-22 02:18:18,620	32k	INFO	Saving model and optimizer state at iteration 72 to ./logs\32k\G_7000.pth
+2023-02-22 02:18:35,298	32k	INFO	Saving model and optimizer state at iteration 72 to ./logs\32k\D_7000.pth
+2023-02-22 02:19:26,420	32k	INFO	====> Epoch: 72
+2023-02-22 02:21:12,370	32k	INFO	====> Epoch: 73
+2023-02-22 02:22:13,800	32k	INFO	Train Epoch: 74 [47%]
+2023-02-22 02:22:13,801	32k	INFO	[2.5285887718200684, 2.162809371948242, 13.120260238647461, 21.690521240234375, 0.7244228720664978, 7200, 9.909159412887068e-05]
+2023-02-22 02:22:58,230	32k	INFO	====> Epoch: 74
+2023-02-22 02:24:44,154	32k	INFO	====> Epoch: 75
+2023-02-22 02:25:49,172	32k	INFO	Train Epoch: 76 [51%]
+2023-02-22 02:25:49,172	32k	INFO	[2.3859612941741943, 2.5308663845062256, 9.781866073608398, 18.245580673217773, 0.9907944798469543, 7400, 9.906682277864462e-05]
+2023-02-22 02:26:30,190	32k	INFO	====> Epoch: 76
+2023-02-22 02:28:15,895	32k	INFO	====> Epoch: 77
+2023-02-22 02:29:24,473	32k	INFO	Train Epoch: 78 [55%]
+2023-02-22 02:29:24,473	32k	INFO	[2.386472702026367, 2.3571693897247314, 11.112114906311035, 19.415468215942383, 0.8537010550498962, 7600, 9.904205762086905e-05]
+2023-02-22 02:30:01,938	32k	INFO	====> Epoch: 78
+2023-02-22 02:31:47,642	32k	INFO	====> Epoch: 79
+2023-02-22 02:32:59,591	32k	INFO	Train Epoch: 80 [59%]
+2023-02-22 02:32:59,592	32k	INFO	[2.4535465240478516, 2.43351411819458, 10.742626190185547, 20.20539093017578, 0.905364990234375, 7800, 9.901729865399597e-05]
+2023-02-22 02:33:33,554	32k	INFO	====> Epoch: 80
+2023-02-22 02:35:19,249	32k	INFO	====> Epoch: 81
+2023-02-22 02:36:34,659	32k	INFO	Train Epoch: 82 [63%]
+2023-02-22 02:36:34,659	32k	INFO	[2.5064964294433594, 2.268216848373413, 9.974581718444824, 17.910846710205078, 0.9886245727539062, 8000, 9.899254587647776e-05]
+2023-02-22 02:36:38,899	32k	INFO	Saving model and optimizer state at iteration 82 to ./logs\32k\G_8000.pth
+2023-02-22 02:36:55,742	32k	INFO	Saving model and optimizer state at iteration 82 to ./logs\32k\D_8000.pth
+2023-02-22 02:37:29,423	32k	INFO	====> Epoch: 82
+2023-02-22 02:39:15,168	32k	INFO	====> Epoch: 83
+2023-02-22 02:40:34,013	32k	INFO	Train Epoch: 84 [67%]
+2023-02-22 02:40:34,013	32k	INFO	[2.248044490814209, 2.346158266067505, 11.082698822021484, 14.95010757446289, 0.6171810626983643, 8200, 9.896779928676716e-05]
+2023-02-22 02:41:01,209	32k	INFO	====> Epoch: 84
+2023-02-22 02:42:47,112	32k	INFO	====> Epoch: 85
+2023-02-22 02:44:09,353	32k	INFO	Train Epoch: 86 [71%]
+2023-02-22 02:44:09,353	32k	INFO	[2.6061596870422363, 2.314436912536621, 10.66403865814209, 19.200468063354492, 1.07802414894104, 8400, 9.894305888331732e-05]
+2023-02-22 02:44:33,096	32k	INFO	====> Epoch: 86
+2023-02-22 02:46:18,750	32k	INFO	====> Epoch: 87
+2023-02-22 02:47:44,525	32k	INFO	Train Epoch: 88 [76%]
+2023-02-22 02:47:44,526	32k	INFO	[2.4097466468811035, 2.220452308654785, 11.689645767211914, 18.19406509399414, 0.7397383451461792, 8600, 9.891832466458178e-05]
+2023-02-22 02:48:04,901	32k	INFO	====> Epoch: 88
+2023-02-22 02:49:50,659	32k	INFO	====> Epoch: 89
+2023-02-22 02:51:19,746	32k	INFO	Train Epoch: 90 [80%]
+2023-02-22 02:51:19,746	32k	INFO	[2.4018168449401855, 2.383319139480591, 12.725435256958008, 18.570293426513672, 1.2559199333190918, 8800, 9.889359662901445e-05]
+2023-02-22 02:51:36,642	32k	INFO	====> Epoch: 90
+2023-02-22 02:53:22,585	32k	INFO	====> Epoch: 91
+2023-02-22 02:54:55,326	32k	INFO	Train Epoch: 92 [84%]
+2023-02-22 02:54:55,327	32k	INFO	[2.290731430053711, 2.6917805671691895, 11.489081382751465, 20.181421279907227, 0.704178512096405, 9000, 9.886887477506964e-05]
+2023-02-22 02:54:59,569	32k	INFO	Saving model and optimizer state at iteration 92 to ./logs\32k\G_9000.pth
+2023-02-22 02:55:15,826	32k	INFO	Saving model and optimizer state at iteration 92 to ./logs\32k\D_9000.pth
+2023-02-22 02:55:32,580	32k	INFO	====> Epoch: 92
+2023-02-22 02:57:18,717	32k	INFO	====> Epoch: 93
+2023-02-22 02:58:55,426	32k	INFO	Train Epoch: 94 [88%]
+2023-02-22 02:58:55,426	32k	INFO	[2.7609176635742188, 2.471208333969116, 5.6250128746032715, 12.03889274597168, 0.7381411790847778, 9200, 9.884415910120204e-05]
+2023-02-22 02:59:05,407	32k	INFO	====> Epoch: 94
+2023-02-22 03:00:51,801	32k	INFO	====> Epoch: 95
+2023-02-22 03:02:31,827	32k	INFO	Train Epoch: 96 [92%]
+2023-02-22 03:02:31,827	32k	INFO	[2.406148672103882, 2.274200677871704, 11.835630416870117, 21.682048797607422, 1.1413294076919556, 9400, 9.881944960586671e-05]
+2023-02-22 03:02:38,366	32k	INFO	====> Epoch: 96
+2023-02-22 03:04:24,238	32k	INFO	====> Epoch: 97
+2023-02-22 03:06:07,737	32k	INFO	Train Epoch: 98 [96%]
+2023-02-22 03:06:07,737	32k	INFO	[2.4189469814300537, 2.4262475967407227, 7.4442033767700195, 12.63837718963623, 0.5815107822418213, 9600, 9.879474628751914e-05]
+2023-02-22 03:06:10,846	32k	INFO	====> Epoch: 98
+2023-02-22 03:07:57,269	32k	INFO	====> Epoch: 99
+2023-02-22 03:09:42,957	32k	INFO	====> Epoch: 100
+2023-02-22 03:10:05,045	32k	INFO	Train Epoch: 101 [0%]
+2023-02-22 03:10:05,046	32k	INFO	[2.5269906520843506, 2.3146581649780273, 7.8620123863220215, 17.898523330688477, 0.5046048760414124, 9800, 9.875770288847208e-05]
+2023-02-22 03:11:28,848	32k	INFO	====> Epoch: 101
+2023-02-22 03:13:14,566	32k	INFO	====> Epoch: 102
+2023-02-22 03:13:40,056	32k	INFO	Train Epoch: 103 [4%]
+2023-02-22 03:13:40,057	32k	INFO	[2.1958470344543457, 2.465301752090454, 14.825515747070312, 22.445404052734375, 0.4519413709640503, 10000, 9.873301500583906e-05]
+2023-02-22 03:13:44,302	32k	INFO	Saving model and optimizer state at iteration 103 to ./logs\32k\G_10000.pth
+2023-02-22 03:14:01,957	32k	INFO	Saving model and optimizer state at iteration 103 to ./logs\32k\D_10000.pth
+2023-02-22 03:15:25,803	32k	INFO	====> Epoch: 103
+2023-02-22 03:17:12,136	32k	INFO	====> Epoch: 104
+2023-02-22 03:17:41,752	32k	INFO	Train Epoch: 105 [8%]
+2023-02-22 03:17:41,752	32k	INFO	[2.530261993408203, 2.3227694034576416, 11.736129760742188, 16.371919631958008, 0.7204845547676086, 10200, 9.870833329479095e-05]
+2023-02-22 03:18:58,780	32k	INFO	====> Epoch: 105
+2023-02-22 03:20:45,072	32k	INFO	====> Epoch: 106
+2023-02-22 03:21:18,158	32k	INFO	Train Epoch: 107 [12%]
+2023-02-22 03:21:18,159	32k	INFO	[2.4681787490844727, 2.8919472694396973, 8.824729919433594, 16.09588623046875, 0.8613712787628174, 10400, 9.868365775378495e-05]
+2023-02-22 03:22:31,624	32k	INFO	====> Epoch: 107
+2023-02-22 03:24:17,336	32k	INFO	====> Epoch: 108
+2023-02-22 03:24:53,255	32k	INFO	Train Epoch: 109 [16%]
+2023-02-22 03:24:53,256	32k	INFO	[2.483661413192749, 2.4146034717559814, 9.786486625671387, 18.913461685180664, 1.075326919555664, 10600, 9.865898838127865e-05]
+2023-02-22 03:26:03,360	32k	INFO	====> Epoch: 109
+2023-02-22 03:27:49,697	32k	INFO	====> Epoch: 110
+2023-02-22 03:28:29,576	32k	INFO	Train Epoch: 111 [20%]
+2023-02-22 03:28:29,577	32k	INFO	[2.538566827774048, 2.12762713432312, 7.408393859863281, 13.515085220336914, 0.8555375933647156, 10800, 9.863432517573002e-05]
+2023-02-22 03:29:36,385	32k	INFO	====> Epoch: 111
+2023-02-22 03:31:22,092	32k	INFO	====> Epoch: 112
+2023-02-22 03:32:04,865	32k	INFO	Train Epoch: 113 [24%]
+2023-02-22 03:32:04,866	32k	INFO	[2.1984810829162598, 2.4401934146881104, 14.276609420776367, 22.693824768066406, 0.9264913201332092, 11000, 9.86096681355974e-05]
+2023-02-22 03:32:09,113	32k	INFO	Saving model and optimizer state at iteration 113 to ./logs\32k\G_11000.pth
+2023-02-22 03:32:25,992	32k	INFO	Saving model and optimizer state at iteration 113 to ./logs\32k\D_11000.pth
+2023-02-22 03:33:32,900	32k	INFO	====> Epoch: 113
+2023-02-22 03:35:19,193	32k	INFO	====> Epoch: 114
+2023-02-22 03:36:06,007	32k	INFO	Train Epoch: 115 [29%]
+2023-02-22 03:36:06,008	32k	INFO	[2.3687469959259033, 2.8906643390655518, 9.432950019836426, 19.32032585144043, 0.8109574913978577, 11200, 9.858501725933955e-05]
+2023-02-22 03:37:05,975	32k	INFO	====> Epoch: 115
+2023-02-22 03:38:52,586	32k	INFO	====> Epoch: 116
+2023-02-22 03:39:42,332	32k	INFO	Train Epoch: 117 [33%]
+2023-02-22 03:39:42,333	32k	INFO	[2.178363561630249, 2.667116641998291, 13.681983947753906, 20.458284378051758, 0.8319520950317383, 11400, 9.85603725454156e-05]
+2023-02-22 03:40:38,811	32k	INFO	====> Epoch: 117
+2023-02-22 03:42:24,730	32k	INFO	====> Epoch: 118
+2023-02-22 03:43:19,888	32k	INFO	Train Epoch: 119 [37%]
+2023-02-22 03:43:19,889	32k	INFO	[2.546008586883545, 2.2007601261138916, 10.31205940246582, 18.787328720092773, 1.2723021507263184, 11600, 9.853573399228505e-05]
+2023-02-22 03:44:12,958	32k	INFO	====> Epoch: 119
+2023-02-22 03:45:58,715	32k	INFO	====> Epoch: 120
+2023-02-22 03:46:55,149	32k	INFO	Train Epoch: 121 [41%]
+2023-02-22 03:46:55,149	32k	INFO	[2.446214437484741, 2.449553966522217, 13.851907730102539, 21.115680694580078, 0.7339575886726379, 11800, 9.851110159840781e-05]
+2023-02-22 03:47:44,775	32k	INFO	====> Epoch: 121
+2023-02-22 03:49:30,581	32k	INFO	====> Epoch: 122
+2023-02-22 03:50:30,560	32k	INFO	Train Epoch: 123 [45%]
+2023-02-22 03:50:30,560	32k	INFO	[2.35149884223938, 2.75274658203125, 12.845666885375977, 18.79739761352539, 1.1703294515609741, 12000, 9.848647536224416e-05]
+2023-02-22 03:50:34,776	32k	INFO	Saving model and optimizer state at iteration 123 to ./logs\32k\G_12000.pth
+2023-02-22 03:50:53,144	32k	INFO	Saving model and optimizer state at iteration 123 to ./logs\32k\D_12000.pth
+2023-02-22 03:51:42,693	32k	INFO	====> Epoch: 123
+2023-02-22 03:53:28,929	32k	INFO	====> Epoch: 124
+2023-02-22 03:54:32,842	32k	INFO	Train Epoch: 125 [49%]
+2023-02-22 03:54:32,842	32k	INFO	[2.589078664779663, 2.1445438861846924, 11.166776657104492, 17.973941802978516, 0.7241864204406738, 12200, 9.846185528225477e-05]
+2023-02-22 03:55:15,637	32k	INFO	====> Epoch: 125
+2023-02-22 03:57:01,184	32k	INFO	====> Epoch: 126
+2023-02-22 03:58:08,640	32k	INFO	Train Epoch: 127 [53%]
+2023-02-22 03:58:08,640	32k	INFO	[2.5327906608581543, 2.081197500228882, 7.769866943359375, 14.17745590209961, 0.6943719983100891, 12400, 9.84372413569007e-05]
+2023-02-22 03:58:47,757	32k	INFO	====> Epoch: 127
+2023-02-22 04:00:34,155	32k	INFO	====> Epoch: 128
+2023-02-22 04:01:44,324	32k	INFO	Train Epoch: 129 [57%]
+2023-02-22 04:01:44,325	32k	INFO	[2.5065693855285645, 2.289240837097168, 8.885828971862793, 15.302033424377441, 1.1030964851379395, 12600, 9.841263358464336e-05]
+2023-02-22 04:02:20,017	32k	INFO	====> Epoch: 129
+2023-02-22 04:04:05,745	32k	INFO	====> Epoch: 130
+2023-02-22 04:05:19,448	32k	INFO	Train Epoch: 131 [61%]
+2023-02-22 04:05:19,448	32k	INFO	[2.339315414428711, 2.6337029933929443, 12.177719116210938, 20.183080673217773, 1.1095930337905884, 12800, 9.838803196394459e-05]
+2023-02-22 04:05:51,845	32k	INFO	====> Epoch: 131
+2023-02-22 04:07:37,384	32k	INFO	====> Epoch: 132
+2023-02-22 04:08:54,557	32k	INFO	Train Epoch: 133 [65%]
+2023-02-22 04:08:54,557	32k	INFO	[2.3692660331726074, 2.2918972969055176, 13.822396278381348, 20.760438919067383, 0.7944438457489014, 13000, 9.836343649326659e-05]
+2023-02-22 04:08:58,801	32k	INFO	Saving model and optimizer state at iteration 133 to ./logs\32k\G_13000.pth
+2023-02-22 04:09:17,244	32k	INFO	Saving model and optimizer state at iteration 133 to ./logs\32k\D_13000.pth
+2023-02-22 04:09:49,268	32k	INFO	====> Epoch: 133
+2023-02-22 04:11:35,690	32k	INFO	====> Epoch: 134
+2023-02-22 04:12:56,725	32k	INFO	Train Epoch: 135 [69%]
+2023-02-22 04:12:56,725	32k	INFO	[2.538072109222412, 2.147736072540283, 8.285018920898438, 15.206883430480957, 0.571492075920105, 13200, 9.833884717107196e-05]
+2023-02-22 04:13:22,345	32k	INFO	====> Epoch: 135
+2023-02-22 04:15:08,661	32k	INFO	====> Epoch: 136
+2023-02-22 04:16:32,598	32k	INFO	Train Epoch: 137 [73%]
+2023-02-22 04:16:32,599	32k	INFO	[2.5354621410369873, 2.3016741275787354, 11.92038345336914, 18.641353607177734, 0.539569616317749, 13400, 9.831426399582366e-05]
+2023-02-22 04:16:54,692	32k	INFO	====> Epoch: 137
+2023-02-22 04:18:41,307	32k	INFO	====> Epoch: 138
+2023-02-22 04:20:09,435	32k	INFO	Train Epoch: 139 [78%]
+2023-02-22 04:20:09,436	32k	INFO	[2.333071231842041, 2.484257221221924, 12.461816787719727, 19.274198532104492, 0.8236677050590515, 13600, 9.828968696598508e-05]
+2023-02-22 04:20:28,071	32k	INFO	====> Epoch: 139
+2023-02-22 04:22:14,167	32k	INFO	====> Epoch: 140
+2023-02-22 04:23:45,593	32k	INFO	Train Epoch: 141 [82%]
+2023-02-22 04:23:45,594	32k	INFO	[2.4791781902313232, 2.1751325130462646, 10.909151077270508, 14.634515762329102, 0.7781238555908203, 13800, 9.826511608001993e-05]
+2023-02-22 04:24:00,820	32k	INFO	====> Epoch: 141
+2023-02-22 04:25:46,692	32k	INFO	====> Epoch: 142
+2023-02-22 04:27:20,993	32k	INFO	Train Epoch: 143 [86%]
+2023-02-22 04:27:20,993	32k	INFO	[2.346167802810669, 2.548734188079834, 13.352293014526367, 18.923927307128906, 0.5950165390968323, 14000, 9.824055133639235e-05]
+2023-02-22 04:27:25,245	32k	INFO	Saving model and optimizer state at iteration 143 to ./logs\32k\G_14000.pth
+2023-02-22 04:27:45,494	32k	INFO	Saving model and optimizer state at iteration 143 to ./logs\32k\D_14000.pth
+2023-02-22 04:28:00,501	32k	INFO	====> Epoch: 143
+2023-02-22 04:29:46,683	32k	INFO	====> Epoch: 144
+2023-02-22 04:31:25,056	32k	INFO	Train Epoch: 145 [90%]
+2023-02-22 04:31:25,056	32k	INFO	[2.4927594661712646, 2.3070590496063232, 10.073404312133789, 16.529218673706055, 0.670913815498352, 14200, 9.821599273356685e-05]
+2023-02-22 04:31:33,427	32k	INFO	====> Epoch: 145
+2023-02-22 04:33:19,691	32k	INFO	====> Epoch: 146
+2023-02-22 04:35:00,838	32k	INFO	Train Epoch: 147 [94%]
+2023-02-22 04:35:00,839	32k	INFO	[2.4546353816986084, 2.278806686401367, 8.069828987121582, 13.182048797607422, 0.5054904222488403, 14400, 9.819144027000834e-05]
+2023-02-22 04:35:05,693	32k	INFO	====> Epoch: 147
+2023-02-22 04:36:51,295	32k	INFO	====> Epoch: 148
+2023-02-22 04:38:35,846	32k	INFO	Train Epoch: 149 [98%]
+2023-02-22 04:38:35,847	32k	INFO	[2.5683984756469727, 2.2057595252990723, 10.475971221923828, 16.20850944519043, 0.9734923839569092, 14600, 9.816689394418209e-05]
+2023-02-22 04:38:37,247	32k	INFO	====> Epoch: 149
+2023-02-22 04:40:25,138	32k	INFO	====> Epoch: 150
+2023-02-22 04:42:11,207	32k	INFO	====> Epoch: 151
+2023-02-22 04:42:35,029	32k	INFO	Train Epoch: 152 [2%]
+2023-02-22 04:42:35,030	32k	INFO	[2.4951038360595703, 2.260463237762451, 11.500944137573242, 17.902042388916016, 0.9977881908416748, 14800, 9.813008596033443e-05]
+2023-02-22 04:43:57,118	32k	INFO	====> Epoch: 152
+2023-02-22 04:45:42,690	32k	INFO	====> Epoch: 153
+2023-02-22 04:46:10,019	32k	INFO	Train Epoch: 154 [6%]
+2023-02-22 04:46:10,019	32k	INFO	[2.4445221424102783, 2.4485650062561035, 12.310842514038086, 20.25748634338379, 0.7647718191146851, 15000, 9.810555497212693e-05]
+2023-02-22 04:46:14,290	32k	INFO	Saving model and optimizer state at iteration 154 to ./logs\32k\G_15000.pth
+2023-02-22 04:46:31,659	32k	INFO	Saving model and optimizer state at iteration 154 to ./logs\32k\D_15000.pth
+2023-02-22 04:47:53,918	32k	INFO	====> Epoch: 154
+2023-02-22 04:49:40,479	32k	INFO	====> Epoch: 155
+2023-02-22 04:50:11,813	32k	INFO	Train Epoch: 156 [10%]
+2023-02-22 04:50:11,813	32k	INFO	[2.5242230892181396, 2.2266323566436768, 12.2184419631958, 17.383615493774414, 1.0418349504470825, 15200, 9.808103011628319e-05]
+2023-02-22 04:51:27,234	32k	INFO	====> Epoch: 156
+2023-02-22 04:53:13,568	32k	INFO	====> Epoch: 157
+2023-02-22 04:53:47,515	32k	INFO	Train Epoch: 158 [14%]
+2023-02-22 04:53:47,516	32k	INFO	[2.5447096824645996, 2.3157331943511963, 8.80300521850586, 14.484112739562988, 0.7142147421836853, 15400, 9.80565113912702e-05]
+2023-02-22 04:54:59,247	32k	INFO	====> Epoch: 158
+2023-02-22 04:56:44,971	32k	INFO	====> Epoch: 159
+2023-02-22 04:57:22,561	32k	INFO	Train Epoch: 160 [18%]
+2023-02-22 04:57:22,561	32k	INFO	[2.3957338333129883, 2.372086524963379, 8.605619430541992, 15.040207862854004, 0.9432356357574463, 15600, 9.803199879555537e-05]
+2023-02-22 04:58:30,960	32k	INFO	====> Epoch: 160
+2023-02-22 05:00:16,754	32k	INFO	====> Epoch: 161
+2023-02-22 05:00:57,776	32k	INFO	Train Epoch: 162 [22%]
+2023-02-22 05:00:57,776	32k	INFO	[2.501303195953369, 2.3233895301818848, 9.497570991516113, 15.891914367675781, 0.9494279026985168, 15800, 9.800749232760646e-05]
+2023-02-22 05:02:02,727	32k	INFO	====> Epoch: 162
+2023-02-22 05:03:48,404	32k	INFO	====> Epoch: 163
+2023-02-22 05:04:32,896	32k	INFO	Train Epoch: 164 [27%]
+2023-02-22 05:04:32,896	32k	INFO	[2.362159013748169, 2.503201484680176, 10.656201362609863, 16.783613204956055, 0.9532788395881653, 16000, 9.798299198589162e-05]
+2023-02-22 05:04:37,788	32k	INFO	Saving model and optimizer state at iteration 164 to ./logs\32k\G_16000.pth
+2023-02-22 05:04:56,829	32k	INFO	Saving model and optimizer state at iteration 164 to ./logs\32k\D_16000.pth
+2023-02-22 05:06:01,710	32k	INFO	====> Epoch: 164
+2023-02-22 05:07:48,176	32k	INFO	====> Epoch: 165
+2023-02-22 05:08:36,653	32k	INFO	Train Epoch: 166 [31%]
+2023-02-22 05:08:36,653	32k	INFO	[2.57973575592041, 1.983064889907837, 8.993478775024414, 16.000688552856445, 0.700424075126648, 16200, 9.795849776887939e-05]
+2023-02-22 05:09:34,858	32k	INFO	====> Epoch: 166
+2023-02-22 05:11:21,054	32k	INFO	====> Epoch: 167
+2023-02-22 05:12:13,078	32k	INFO	Train Epoch: 168 [35%]
+2023-02-22 05:12:13,079	32k	INFO	[2.464907646179199, 2.1761608123779297, 8.09338665008545, 13.37960433959961, 0.97138512134552, 16400, 9.79340096750387e-05]
+2023-02-22 05:13:07,694	32k	INFO	====> Epoch: 168
+2023-02-22 05:14:53,372	32k	INFO	====> Epoch: 169
+2023-02-22 05:15:48,194	32k	INFO	Train Epoch: 170 [39%]
+2023-02-22 05:15:48,195	32k	INFO	[2.4897146224975586, 2.3846330642700195, 9.467925071716309, 17.97328758239746, 0.2975856363773346, 16600, 9.790952770283884e-05]
+2023-02-22 05:16:39,376	32k	INFO	====> Epoch: 170
+2023-02-22 05:18:24,901	32k	INFO	====> Epoch: 171
+2023-02-22 05:19:22,981	32k	INFO	Train Epoch: 172 [43%]
+2023-02-22 05:19:22,981	32k	INFO	[2.409517288208008, 2.347320795059204, 13.86928939819336, 19.764402389526367, 0.5637670159339905, 16800, 9.78850518507495e-05]
+2023-02-22 05:20:10,773	32k	INFO	====> Epoch: 172
+2023-02-22 05:21:56,270	32k	INFO	====> Epoch: 173
+2023-02-22 05:22:57,877	32k	INFO	Train Epoch: 174 [47%]
+2023-02-22 05:22:57,877	32k	INFO	[2.4215376377105713, 2.1729211807250977, 11.39505386352539, 18.73835563659668, 0.5306751728057861, 17000, 9.786058211724074e-05]
+2023-02-22 05:23:02,291	32k	INFO	Saving model and optimizer state at iteration 174 to ./logs\32k\G_17000.pth
+2023-02-22 05:23:19,621	32k	INFO	Saving model and optimizer state at iteration 174 to ./logs\32k\D_17000.pth
+2023-02-22 05:24:07,507	32k	INFO	====> Epoch: 174
+2023-02-22 05:25:53,899	32k	INFO	====> Epoch: 175
+2023-02-22 05:26:59,648	32k	INFO	Train Epoch: 176 [51%]
+2023-02-22 05:26:59,648	32k	INFO	[2.41857647895813, 2.1925084590911865, 10.57753849029541, 18.43206214904785, 0.6052053570747375, 17200, 9.783611850078301e-05]
+2023-02-22 05:27:40,697	32k	INFO	====> Epoch: 176
+2023-02-22 05:29:27,079	32k	INFO	====> Epoch: 177
+2023-02-22 05:30:35,514	32k	INFO	Train Epoch: 178 [55%]
+2023-02-22 05:30:35,514	32k	INFO	[2.3244147300720215, 2.360485315322876, 14.300114631652832, 19.833555221557617, 0.5028417110443115, 17400, 9.781166099984716e-05]
+2023-02-22 05:31:12,982	32k	INFO	====> Epoch: 178
+2023-02-22 05:33:00,756	32k	INFO	====> Epoch: 179
+2023-02-22 05:34:14,763	32k	INFO	Train Epoch: 180 [59%]
+2023-02-22 05:34:14,763	32k	INFO	[2.428579807281494, 2.262065887451172, 10.987186431884766, 19.099437713623047, 0.6582584381103516, 17600, 9.778720961290439e-05]
+2023-02-22 05:34:48,821	32k	INFO	====> Epoch: 180
+2023-02-22 05:36:34,639	32k	INFO	====> Epoch: 181
+2023-02-22 05:37:49,982	32k	INFO	Train Epoch: 182 [63%]
+2023-02-22 05:37:49,983	32k	INFO	[2.61875581741333, 1.9758424758911133, 9.652741432189941, 14.875738143920898, 0.9741345643997192, 17800, 9.776276433842631e-05]
+2023-02-22 05:38:20,692	32k	INFO	====> Epoch: 182
+2023-02-22 05:40:06,124	32k	INFO	====> Epoch: 183
+2023-02-22 05:41:24,889	32k	INFO	Train Epoch: 184 [67%]
+2023-02-22 05:41:24,890	32k	INFO	[2.540966033935547, 2.3001551628112793, 9.484389305114746, 17.637712478637695, 0.7832726240158081, 18000, 9.773832517488488e-05]
+2023-02-22 05:41:29,138	32k	INFO	Saving model and optimizer state at iteration 184 to ./logs\32k\G_18000.pth
+2023-02-22 05:41:45,744	32k	INFO	Saving model and optimizer state at iteration 184 to ./logs\32k\D_18000.pth
+2023-02-22 05:42:16,267	32k	INFO	====> Epoch: 184
+2023-02-22 05:44:02,354	32k	INFO	====> Epoch: 185
+2023-02-22 05:45:25,035	32k	INFO	Train Epoch: 186 [71%]
+2023-02-22 05:45:25,035	32k	INFO	[2.5191123485565186, 2.5359508991241455, 11.501497268676758, 19.635244369506836, 0.6616455912590027, 18200, 9.771389212075249e-05]
+2023-02-22 05:45:48,797	32k	INFO	====> Epoch: 186
+2023-02-22 05:47:34,913	32k	INFO	====> Epoch: 187
+2023-02-22 05:49:00,561	32k	INFO	Train Epoch: 188 [76%]
+2023-02-22 05:49:00,562	32k	INFO	[2.280853748321533, 2.274311065673828, 13.668123245239258, 18.913005828857422, 1.0380589962005615, 18400, 9.768946517450186e-05]
+2023-02-22 05:49:20,932	32k	INFO	====> Epoch: 188
+2023-02-22 05:51:06,481	32k	INFO	====> Epoch: 189
+2023-02-22 05:52:35,577	32k	INFO	Train Epoch: 190 [80%]
+2023-02-22 05:52:35,577	32k	INFO	[2.2568392753601074, 2.6230015754699707, 11.525728225708008, 18.298168182373047, 0.6746451258659363, 18600, 9.766504433460612e-05]
+2023-02-22 05:52:52,435	32k	INFO	====> Epoch: 190
+2023-02-22 05:54:38,241	32k	INFO	====> Epoch: 191
+2023-02-22 05:56:10,787	32k	INFO	Train Epoch: 192 [84%]
+2023-02-22 05:56:10,788	32k	INFO	[2.5578360557556152, 2.209872007369995, 8.583542823791504, 16.00850486755371, 1.0789265632629395, 18800, 9.764062959953878e-05]
+2023-02-22 05:56:24,223	32k	INFO	====> Epoch: 192
+2023-02-22 05:58:09,905	32k	INFO	====> Epoch: 193
+2023-02-22 05:59:45,738	32k	INFO	Train Epoch: 194 [88%]
+2023-02-22 05:59:45,738	32k	INFO	[2.387702703475952, 2.4445672035217285, 13.355128288269043, 16.8066463470459, 1.147564172744751, 19000, 9.761622096777372e-05]
+2023-02-22 05:59:50,090	32k	INFO	Saving model and optimizer state at iteration 194 to ./logs\32k\G_19000.pth
+2023-02-22 06:00:07,465	32k	INFO	Saving model and optimizer state at iteration 194 to ./logs\32k\D_19000.pth
+2023-02-22 06:00:21,346	32k	INFO	====> Epoch: 194
+2023-02-22 06:02:07,550	32k	INFO	====> Epoch: 195
+2023-02-22 06:03:47,560	32k	INFO	Train Epoch: 196 [92%]
+2023-02-22 06:03:47,561	32k	INFO	[2.5213208198547363, 2.257534980773926, 12.258462905883789, 19.621543884277344, 0.6611289978027344, 19200, 9.759181843778522e-05]
+2023-02-22 06:03:54,101	32k	INFO	====> Epoch: 196
+2023-02-22 06:05:40,426	32k	INFO	====> Epoch: 197
+2023-02-22 06:07:23,844	32k	INFO	Train Epoch: 198 [96%]
+2023-02-22 06:07:23,845	32k	INFO	[2.470740795135498, 2.21482253074646, 9.043266296386719, 14.386473655700684, 0.9298809766769409, 19400, 9.756742200804793e-05]
+2023-02-22 06:07:26,950	32k	INFO	====> Epoch: 198
+2023-02-22 06:09:12,577	32k	INFO	====> Epoch: 199
+2023-02-22 06:10:58,804	32k	INFO	====> Epoch: 200
+2023-02-22 06:11:21,552	32k	INFO	Train Epoch: 201 [0%]
+2023-02-22 06:11:21,553	32k	INFO	[2.2393460273742676, 2.660759210586548, 12.342625617980957, 18.233539581298828, 0.6276586651802063, 19600, 9.753083879807726e-05]
+2023-02-22 06:12:45,383	32k	INFO	====> Epoch: 201
+2023-02-22 06:14:31,637	32k	INFO	====> Epoch: 202
+2023-02-22 06:14:57,801	32k	INFO	Train Epoch: 203 [4%]
+2023-02-22 06:14:57,801	32k	INFO	[2.072805166244507, 2.761627435684204, 14.632217407226562, 19.264434814453125, 0.6756956577301025, 19800, 9.750645761229709e-05]
+2023-02-22 06:16:18,193	32k	INFO	====> Epoch: 203
+2023-02-22 06:18:03,843	32k	INFO	====> Epoch: 204
+2023-02-22 06:18:32,695	32k	INFO	Train Epoch: 205 [8%]
+2023-02-22 06:18:32,695	32k	INFO	[2.238548994064331, 2.5923948287963867, 13.83581829071045, 18.70966148376465, 0.808910071849823, 20000, 9.748208252143241e-05]
+2023-02-22 06:18:36,991	32k	INFO	Saving model and optimizer state at iteration 205 to ./logs\32k\G_20000.pth
+2023-02-22 06:18:52,780	32k	INFO	Saving model and optimizer state at iteration 205 to ./logs\32k\D_20000.pth
+2023-02-22 06:20:13,632	32k	INFO	====> Epoch: 205
+2023-02-22 06:21:59,799	32k	INFO	====> Epoch: 206
+2023-02-22 06:22:32,683	32k	INFO	Train Epoch: 207 [12%]
+2023-02-22 06:22:32,684	32k	INFO	[2.494340181350708, 2.35404372215271, 10.402792930603027, 18.646995544433594, 1.194170594215393, 20200, 9.745771352395957e-05]
+2023-02-22 06:23:46,237	32k	INFO	====> Epoch: 207
+2023-02-22 06:25:31,755	32k	INFO	====> Epoch: 208
+2023-02-22 06:26:07,498	32k	INFO	Train Epoch: 209 [16%]
+2023-02-22 06:26:07,499	32k	INFO	[2.5353317260742188, 2.2308082580566406, 10.610563278198242, 16.8080997467041, 0.9148491621017456, 20400, 9.743335061835535e-05]
+2023-02-22 06:27:17,681	32k	INFO	====> Epoch: 209
+2023-02-22 06:29:03,252	32k	INFO	====> Epoch: 210
+2023-02-22 06:29:42,394	32k	INFO	Train Epoch: 211 [20%]
+2023-02-22 06:29:42,395	32k	INFO	[2.6447272300720215, 1.964892864227295, 8.727736473083496, 12.838239669799805, 0.6997866630554199, 20600, 9.740899380309685e-05]
+2023-02-22 06:30:49,054	32k	INFO	====> Epoch: 211
+2023-02-22 06:32:35,297	32k	INFO	====> Epoch: 212
+2023-02-22 06:33:18,576	32k	INFO	Train Epoch: 213 [24%]
+2023-02-22 06:33:18,577	32k	INFO	[2.2379984855651855, 2.403615713119507, 15.184333801269531, 22.139081954956055, 0.9633049368858337, 20800, 9.73846430766616e-05]
+2023-02-22 06:34:21,815	32k	INFO	====> Epoch: 213
+2023-02-22 06:36:08,032	32k	INFO	====> Epoch: 214
+2023-02-22 06:36:54,126	32k	INFO	Train Epoch: 215 [29%]
+2023-02-22 06:36:54,127	32k	INFO	[2.6470189094543457, 2.246066093444824, 8.519152641296387, 15.820573806762695, 1.0386731624603271, 21000, 9.736029843752747e-05]
+2023-02-22 06:36:58,320	32k	INFO	Saving model and optimizer state at iteration 215 to ./logs\32k\G_21000.pth
+2023-02-22 06:37:15,347	32k	INFO	Saving model and optimizer state at iteration 215 to ./logs\32k\D_21000.pth
+2023-02-22 06:38:18,371	32k	INFO	====> Epoch: 215
+2023-02-22 06:40:04,492	32k	INFO	====> Epoch: 216
+2023-02-22 06:40:54,670	32k	INFO	Train Epoch: 217 [33%]
+2023-02-22 06:40:54,670	32k	INFO	[2.090405225753784, 2.5237374305725098, 15.738249778747559, 21.418203353881836, 1.2358826398849487, 21200, 9.733595988417275e-05]
+2023-02-22 06:41:51,113	32k	INFO	====> Epoch: 217
+2023-02-22 06:43:37,251	32k	INFO	====> Epoch: 218
+2023-02-22 06:44:30,781	32k	INFO	Train Epoch: 219 [37%]
+2023-02-22 06:44:30,781	32k	INFO	[2.5889697074890137, 2.2686333656311035, 8.668608665466309, 14.998424530029297, 1.0810593366622925, 21400, 9.731162741507607e-05]
+2023-02-22 06:45:23,689	32k	INFO	====> Epoch: 219
+2023-02-22 06:47:09,292	32k	INFO	====> Epoch: 220
+2023-02-22 06:48:06,268	32k	INFO	Train Epoch: 221 [41%]
+2023-02-22 06:48:06,269	32k	INFO	[2.2671685218811035, 2.67838978767395, 14.996197700500488, 21.1551570892334, 0.7494913339614868, 21600, 9.728730102871649e-05]
+2023-02-22 06:48:55,957	32k	INFO	====> Epoch: 221
+2023-02-22 06:50:42,311	32k	INFO	====> Epoch: 222
+2023-02-22 06:51:42,046	32k	INFO	Train Epoch: 223 [45%]
+2023-02-22 06:51:42,046	32k	INFO	[2.547105312347412, 2.134889841079712, 9.186394691467285, 14.266695022583008, 0.6058226823806763, 21800, 9.726298072357337e-05]
+2023-02-22 06:52:28,072	32k	INFO	====> Epoch: 223
+2023-02-22 06:54:14,252	32k	INFO	====> Epoch: 224
+2023-02-22 06:55:18,050	32k	INFO	Train Epoch: 225 [49%]
+2023-02-22 06:55:18,050	32k	INFO	[2.3165359497070312, 2.48864483833313, 13.522871971130371, 20.89539337158203, 0.46696582436561584, 22000, 9.723866649812655e-05]
+2023-02-22 06:55:22,919	32k	INFO	Saving model and optimizer state at iteration 225 to ./logs\32k\G_22000.pth
+2023-02-22 06:55:42,032	32k	INFO	Saving model and optimizer state at iteration 225 to ./logs\32k\D_22000.pth
+2023-02-22 06:56:28,028	32k	INFO	====> Epoch: 225
+2023-02-22 06:58:14,309	32k	INFO	====> Epoch: 226
+2023-02-22 06:59:21,533	32k	INFO	Train Epoch: 227 [53%]
+2023-02-22 06:59:21,534	32k	INFO	[2.635965347290039, 2.3602662086486816, 8.628167152404785, 12.540104866027832, 0.9171032309532166, 22200, 9.721435835085619e-05]
+2023-02-22 07:00:00,662	32k	INFO	====> Epoch: 227
+2023-02-22 07:01:46,728	32k	INFO	====> Epoch: 228
+2023-02-22 07:02:57,519	32k	INFO	Train Epoch: 229 [57%]
+2023-02-22 07:02:57,519	32k	INFO	[2.310483932495117, 2.573824405670166, 13.390860557556152, 19.26698112487793, 0.859022855758667, 22400, 9.719005628024282e-05]
+2023-02-22 07:03:33,283	32k	INFO	====> Epoch: 229
+2023-02-22 07:05:18,825	32k	INFO	====> Epoch: 230
+2023-02-22 07:06:32,406	32k	INFO	Train Epoch: 231 [61%]
+2023-02-22 07:06:32,406	32k	INFO	[2.4883522987365723, 2.472439765930176, 11.817012786865234, 18.11069107055664, 0.8754430413246155, 22600, 9.716576028476738e-05]
+2023-02-22 07:07:04,836	32k	INFO	====> Epoch: 231
+2023-02-22 07:08:50,484	32k	INFO	====> Epoch: 232
+2023-02-22 07:10:07,417	32k	INFO	Train Epoch: 233 [65%]
+2023-02-22 07:10:07,418	32k	INFO	[2.2918412685394287, 2.6064612865448, 12.61550235748291, 19.839508056640625, 0.7568845748901367, 22800, 9.714147036291117e-05]
+2023-02-22 07:10:36,292	32k	INFO	====> Epoch: 233
+2023-02-22 07:12:21,934	32k	INFO	====> Epoch: 234
+2023-02-22 07:13:42,479	32k	INFO	Train Epoch: 235 [69%]
+2023-02-22 07:13:42,479	32k	INFO	[2.367769479751587, 2.290179967880249, 12.814183235168457, 18.604658126831055, 0.7774146199226379, 23000, 9.711718651315591e-05]
+2023-02-22 07:13:46,725	32k	INFO	Saving model and optimizer state at iteration 235 to ./logs\32k\G_23000.pth
+2023-02-22 07:14:02,024	32k	INFO	Saving model and optimizer state at iteration 235 to ./logs\32k\D_23000.pth
+2023-02-22 07:14:31,102	32k	INFO	====> Epoch: 235
+2023-02-22 07:16:17,362	32k	INFO	====> Epoch: 236
+2023-02-22 07:17:41,855	32k	INFO	Train Epoch: 237 [73%]
+2023-02-22 07:17:41,855	32k	INFO	[2.2795772552490234, 2.5844802856445312, 11.45567512512207, 18.593366622924805, 0.8924825191497803, 23200, 9.709290873398365e-05]
+2023-02-22 07:18:03,931	32k	INFO	====> Epoch: 237
+2023-02-22 07:19:50,029	32k	INFO	====> Epoch: 238
+2023-02-22 07:21:17,892	32k	INFO	Train Epoch: 239 [78%]
+2023-02-22 07:21:17,893	32k	INFO	[2.455188274383545, 2.681325912475586, 12.097657203674316, 20.17988395690918, 1.3684245347976685, 23400, 9.706863702387684e-05]
+2023-02-22 07:21:36,551	32k	INFO	====> Epoch: 239
+2023-02-22 07:23:24,284	32k	INFO	====> Epoch: 240
+2023-02-22 07:24:57,015	32k	INFO	Train Epoch: 241 [82%]
+2023-02-22 07:24:57,016	32k	INFO	[2.629354953765869, 2.118459701538086, 10.275418281555176, 14.83414363861084, 0.5261375904083252, 23600, 9.704437138131832e-05]
+2023-02-22 07:25:12,296	32k	INFO	====> Epoch: 241
+2023-02-22 07:26:57,752	32k	INFO	====> Epoch: 242
+2023-02-22 07:28:32,000	32k	INFO	Train Epoch: 243 [86%]
+2023-02-22 07:28:32,001	32k	INFO	[2.329456329345703, 2.3450889587402344, 12.364802360534668, 16.953144073486328, 0.7070972919464111, 23800, 9.702011180479129e-05]
+2023-02-22 07:28:43,709	32k	INFO	====> Epoch: 243
+2023-02-22 07:30:29,209	32k	INFO	====> Epoch: 244
+2023-02-22 07:32:06,746	32k	INFO	Train Epoch: 245 [90%]
+2023-02-22 07:32:06,747	32k	INFO	[2.4288482666015625, 2.3079452514648438, 14.041245460510254, 19.745018005371094, 0.862689733505249, 24000, 9.699585829277933e-05]
+2023-02-22 07:32:10,956	32k	INFO	Saving model and optimizer state at iteration 245 to ./logs\32k\G_24000.pth
+2023-02-22 07:32:29,071	32k	INFO	Saving model and optimizer state at iteration 245 to ./logs\32k\D_24000.pth
+2023-02-22 07:32:40,767	32k	INFO	====> Epoch: 245
+2023-02-22 07:34:26,808	32k	INFO	====> Epoch: 246
+2023-02-22 07:36:08,402	32k	INFO	Train Epoch: 247 [94%]
+2023-02-22 07:36:08,403	32k	INFO	[2.373241901397705, 2.098410129547119, 10.478768348693848, 16.175146102905273, 0.6502178311347961, 24200, 9.69716108437664e-05]
+2023-02-22 07:36:13,231	32k	INFO	====> Epoch: 247
+2023-02-22 07:37:59,442	32k	INFO	====> Epoch: 248
+2023-02-22 07:39:43,876	32k	INFO	Train Epoch: 249 [98%]
+2023-02-22 07:39:43,877	32k	INFO	[2.40415096282959, 2.40627121925354, 10.043416976928711, 15.431482315063477, 0.813330888748169, 24400, 9.694736945623688e-05]
+2023-02-22 07:39:45,264	32k	INFO	====> Epoch: 249
+2023-02-22 07:41:31,487	32k	INFO	====> Epoch: 250
+2023-02-22 07:43:17,279	32k	INFO	====> Epoch: 251
+2023-02-22 07:43:40,973	32k	INFO	Train Epoch: 252 [2%]
+2023-02-22 07:43:40,973	32k	INFO	[2.2679550647735596, 2.6712074279785156, 11.691126823425293, 17.59365463256836, 0.4011988639831543, 24600, 9.691101873690936e-05]
+2023-02-22 07:45:03,101	32k	INFO	====> Epoch: 252
+2023-02-22 07:46:48,461	32k	INFO	====> Epoch: 253
+2023-02-22 07:47:15,562	32k	INFO	Train Epoch: 254 [6%]
+2023-02-22 07:47:15,562	32k	INFO	[2.176159381866455, 2.6822993755340576, 14.428181648254395, 21.809728622436523, 0.8452849984169006, 24800, 9.68867924964598e-05]
+2023-02-22 07:48:34,159	32k	INFO	====> Epoch: 254
+2023-02-22 07:50:19,905	32k	INFO	====> Epoch: 255
+2023-02-22 07:50:51,111	32k	INFO	Train Epoch: 256 [10%]
+2023-02-22 07:50:51,111	32k	INFO	[2.5852203369140625, 2.461092710494995, 10.04835319519043, 14.898118019104004, 0.956852376461029, 25000, 9.68625723121918e-05]
+2023-02-22 07:50:55,927	32k	INFO	Saving model and optimizer state at iteration 256 to ./logs\32k\G_25000.pth
+2023-02-22 07:51:13,413	32k	INFO	Saving model and optimizer state at iteration 256 to ./logs\32k\D_25000.pth
+2023-02-22 07:52:32,056	32k	INFO	====> Epoch: 256
+2023-02-22 07:54:18,097	32k	INFO	====> Epoch: 257
+2023-02-22 07:54:52,734	32k	INFO	Train Epoch: 258 [14%]
+2023-02-22 07:54:52,734	32k	INFO	[2.432253837585449, 2.456174850463867, 9.509150505065918, 16.501110076904297, 0.4222906529903412, 25200, 9.683835818259144e-05]
+2023-02-22 07:56:04,434	32k	INFO	====> Epoch: 258
+2023-02-22 07:57:50,485	32k	INFO	====> Epoch: 259
+2023-02-22 07:58:27,976	32k	INFO	Train Epoch: 260 [18%]
+2023-02-22 07:58:27,977	32k	INFO	[2.4247806072235107, 2.345371723175049, 8.857375144958496, 15.63666820526123, 0.7407233119010925, 25400, 9.681415010614512e-05]
+2023-02-22 07:59:36,335	32k	INFO	====> Epoch: 260
+2023-02-22 08:01:21,939	32k	INFO	====> Epoch: 261
+2023-02-22 08:02:02,960	32k	INFO	Train Epoch: 262 [22%]
+2023-02-22 08:02:02,960	32k	INFO	[2.6320114135742188, 2.4106760025024414, 8.685118675231934, 12.927850723266602, 0.9680966138839722, 25600, 9.678994808133967e-05]
+2023-02-22 08:03:07,846	32k	INFO	====> Epoch: 262
+2023-02-22 08:04:53,437	32k	INFO	====> Epoch: 263
+2023-02-22 08:05:37,784	32k	INFO	Train Epoch: 264 [27%]
+2023-02-22 08:05:37,784	32k	INFO	[2.500497341156006, 2.2675929069519043, 8.80232048034668, 15.311875343322754, 0.8597989678382874, 25800, 9.676575210666227e-05]
+2023-02-22 08:06:39,268	32k	INFO	====> Epoch: 264
+2023-02-22 08:08:24,850	32k	INFO	====> Epoch: 265
+2023-02-22 08:09:12,688	32k	INFO	Train Epoch: 266 [31%]
+2023-02-22 08:09:12,688	32k	INFO	[2.3594794273376465, 2.2052268981933594, 10.455811500549316, 16.885915756225586, 0.6565972566604614, 26000, 9.674156218060047e-05]
+2023-02-22 08:09:17,007	32k	INFO	Saving model and optimizer state at iteration 266 to ./logs\32k\G_26000.pth
+2023-02-22 08:09:29,919	32k	INFO	Saving model and optimizer state at iteration 266 to ./logs\32k\D_26000.pth
+2023-02-22 08:10:31,024	32k	INFO	====> Epoch: 266
+2023-02-22 08:12:17,253	32k	INFO	====> Epoch: 267
+2023-02-22 08:13:09,136	32k	INFO	Train Epoch: 268 [35%]
+2023-02-22 08:13:09,137	32k	INFO	[2.6458592414855957, 2.1084747314453125, 10.409239768981934, 15.455072402954102, 0.5523946285247803, 26200, 9.671737830164223e-05]
+2023-02-22 08:14:03,759	32k	INFO	====> Epoch: 268
+2023-02-22 08:15:49,415	32k	INFO	====> Epoch: 269
+2023-02-22 08:16:44,117	32k	INFO	Train Epoch: 270 [39%]
+2023-02-22 08:16:44,118	32k	INFO	[2.1286776065826416, 2.643979549407959, 11.154251098632812, 16.767776489257812, 0.3980034291744232, 26400, 9.669320046827584e-05]
+2023-02-22 08:17:35,389	32k	INFO	====> Epoch: 270
+2023-02-22 08:19:21,150	32k	INFO	====> Epoch: 271
+2023-02-22 08:20:19,919	32k	INFO	Train Epoch: 272 [43%]
+2023-02-22 08:20:19,919	32k	INFO	[2.36246919631958, 2.305928945541382, 13.173051834106445, 20.20313262939453, 0.4515596628189087, 26600, 9.666902867899003e-05]
+2023-02-22 08:21:07,775	32k	INFO	====> Epoch: 272
+2023-02-22 08:22:54,059	32k	INFO	====> Epoch: 273
+2023-02-22 08:23:55,545	32k	INFO	Train Epoch: 274 [47%]
+2023-02-22 08:23:55,545	32k	INFO	[2.1859402656555176, 2.502265214920044, 10.459367752075195, 15.742925643920898, 0.7773081660270691, 26800, 9.664486293227385e-05]
+2023-02-22 08:24:39,934	32k	INFO	====> Epoch: 274
+2023-02-22 08:26:25,586	32k	INFO	====> Epoch: 275
+2023-02-22 08:27:30,547	32k	INFO	Train Epoch: 276 [51%]
+2023-02-22 08:27:30,548	32k	INFO	[2.3840584754943848, 2.286221742630005, 10.370285034179688, 17.517276763916016, 0.36077797412872314, 27000, 9.662070322661676e-05]
+2023-02-22 08:27:34,765	32k	INFO	Saving model and optimizer state at iteration 276 to ./logs\32k\G_27000.pth
+2023-02-22 08:27:49,261	32k	INFO	Saving model and optimizer state at iteration 276 to ./logs\32k\D_27000.pth
+2023-02-22 08:28:33,782	32k	INFO	====> Epoch: 276
+2023-02-22 08:30:20,077	32k	INFO	====> Epoch: 277
+2023-02-22 08:31:29,161	32k	INFO	Train Epoch: 278 [55%]
+2023-02-22 08:31:29,161	32k	INFO	[2.207501173019409, 2.513786792755127, 13.21751880645752, 19.042682647705078, 0.7013548612594604, 27200, 9.659654956050859e-05]
+2023-02-22 08:32:06,611	32k	INFO	====> Epoch: 278
+2023-02-22 08:33:52,136	32k	INFO	====> Epoch: 279
+2023-02-22 08:35:04,124	32k	INFO	Train Epoch: 280 [59%]
+2023-02-22 08:35:04,124	32k	INFO	[2.2693753242492676, 2.6720073223114014, 12.635223388671875, 20.047088623046875, 1.1133509874343872, 27400, 9.657240193243954e-05]
+2023-02-22 08:35:38,250	32k	INFO	====> Epoch: 280
+2023-02-22 08:37:23,913	32k	INFO	====> Epoch: 281
+2023-02-22 08:38:39,215	32k	INFO	Train Epoch: 282 [63%]
+2023-02-22 08:38:39,216	32k	INFO	[2.389529228210449, 2.2568767070770264, 10.048675537109375, 14.323448181152344, 0.7161829471588135, 27600, 9.65482603409002e-05]
+2023-02-22 08:39:09,969	32k	INFO	====> Epoch: 282
+2023-02-22 08:40:56,377	32k	INFO	====> Epoch: 283
+2023-02-22 08:42:15,609	32k	INFO	Train Epoch: 284 [67%]
+2023-02-22 08:42:15,609	32k	INFO	[2.511157751083374, 2.453148603439331, 11.416619300842285, 17.989450454711914, 0.6057873964309692, 27800, 9.652412478438153e-05]
+2023-02-22 08:42:42,783	32k	INFO	====> Epoch: 284
+2023-02-22 08:44:28,460	32k	INFO	====> Epoch: 285
+2023-02-22 08:45:50,789	32k	INFO	Train Epoch: 286 [71%]
+2023-02-22 08:45:50,789	32k	INFO	[2.419379472732544, 2.3715896606445312, 8.623769760131836, 15.313409805297852, 0.5617188811302185, 28000, 9.649999526137489e-05]
+2023-02-22 08:45:55,739	32k	INFO	Saving model and optimizer state at iteration 286 to ./logs\32k\G_28000.pth
+2023-02-22 08:46:09,553	32k	INFO	Saving model and optimizer state at iteration 286 to ./logs\32k\D_28000.pth
+2023-02-22 08:46:37,027	32k	INFO	====> Epoch: 286
+2023-02-22 08:48:23,304	32k	INFO	====> Epoch: 287
+2023-02-22 08:49:49,517	32k	INFO	Train Epoch: 288 [76%]
+2023-02-22 08:49:49,518	32k	INFO	[2.231926202774048, 2.57316255569458, 16.306894302368164, 19.932767868041992, 0.9207838773727417, 28200, 9.647587177037196e-05]
+2023-02-22 08:50:09,780	32k	INFO	====> Epoch: 288
+2023-02-22 08:51:56,021	32k	INFO	====> Epoch: 289
+2023-02-22 08:53:25,110	32k	INFO	Train Epoch: 290 [80%]
+2023-02-22 08:53:25,110	32k	INFO	[2.5337061882019043, 2.4603958129882812, 10.723613739013672, 16.972007751464844, 0.9773488640785217, 28400, 9.645175430986486e-05]
+2023-02-22 08:53:41,993	32k	INFO	====> Epoch: 290
+2023-02-22 08:55:27,579	32k	INFO	====> Epoch: 291
+2023-02-22 08:57:00,042	32k	INFO	Train Epoch: 292 [84%]
+2023-02-22 08:57:00,043	32k	INFO	[2.457164764404297, 2.5140910148620605, 12.109970092773438, 19.576763153076172, 0.6455909609794617, 28600, 9.642764287834605e-05]
+2023-02-22 08:57:13,617	32k	INFO	====> Epoch: 292
+2023-02-22 08:58:59,241	32k	INFO	====> Epoch: 293
+2023-02-22 09:00:35,167	32k	INFO	Train Epoch: 294 [88%]
+2023-02-22 09:00:35,167	32k	INFO	[3.1267271041870117, 1.7442620992660522, 5.101763725280762, 9.992081642150879, 0.8443043231964111, 28800, 9.640353747430838e-05]
+2023-02-22 09:00:45,190	32k	INFO	====> Epoch: 294
+2023-02-22 09:02:30,950	32k	INFO	====> Epoch: 295
+2023-02-22 09:04:10,463	32k	INFO	Train Epoch: 296 [92%]
+2023-02-22 09:04:10,463	32k	INFO	[2.4258294105529785, 2.153702735900879, 11.16634464263916, 18.30190658569336, 0.6709051728248596, 29000, 9.637943809624507e-05]
+2023-02-22 09:04:14,772	32k	INFO	Saving model and optimizer state at iteration 296 to ./logs\32k\G_29000.pth
+2023-02-22 09:04:30,920	32k	INFO	Saving model and optimizer state at iteration 296 to ./logs\32k\D_29000.pth
+2023-02-22 09:04:41,056	32k	INFO	====> Epoch: 296
+2023-02-22 09:06:27,402	32k	INFO	====> Epoch: 297
+2023-02-22 09:08:10,882	32k	INFO	Train Epoch: 298 [96%]
+2023-02-22 09:08:10,882	32k	INFO	[2.3428242206573486, 2.506030559539795, 9.039055824279785, 12.474124908447266, 0.5565758347511292, 29200, 9.635534474264972e-05]
+2023-02-22 09:08:13,993	32k	INFO	====> Epoch: 298
+2023-02-22 09:10:00,361	32k	INFO	====> Epoch: 299
+2023-02-22 09:11:46,836	32k	INFO	====> Epoch: 300
+2023-02-22 09:12:10,849	32k	INFO	Train Epoch: 301 [0%]
+2023-02-22 09:12:10,849	32k	INFO	[2.0102734565734863, 3.098827838897705, 12.834500312805176, 17.658754348754883, 0.8110590577125549, 29400, 9.631921600483981e-05]
+2023-02-22 09:13:34,929	32k	INFO	====> Epoch: 301
+2023-02-22 09:15:22,579	32k	INFO	====> Epoch: 302
+2023-02-22 09:15:48,125	32k	INFO	Train Epoch: 303 [4%]
+2023-02-22 09:15:48,125	32k	INFO	[2.292261838912964, 2.6530299186706543, 15.810569763183594, 19.79923439025879, 0.8924477100372314, 29600, 9.629513770582634e-05]
+2023-02-22 09:17:08,489	32k	INFO	====> Epoch: 303
+2023-02-22 09:18:54,037	32k	INFO	====> Epoch: 304
+2023-02-22 09:19:22,932	32k	INFO	Train Epoch: 305 [8%]
+2023-02-22 09:19:22,933	32k	INFO	[2.2535953521728516, 2.7421841621398926, 14.76373291015625, 17.443092346191406, 0.9546372294425964, 29800, 9.627106542601141e-05]
+2023-02-22 09:20:39,815	32k	INFO	====> Epoch: 305
+2023-02-22 09:22:25,311	32k	INFO	====> Epoch: 306
+2023-02-22 09:22:57,677	32k	INFO	Train Epoch: 307 [12%]
+2023-02-22 09:22:57,677	32k	INFO	[2.326064109802246, 2.3965041637420654, 7.343259811401367, 12.741463661193848, 0.6292210817337036, 30000, 9.62469991638903e-05]
+2023-02-22 09:23:01,921	32k	INFO	Saving model and optimizer state at iteration 307 to ./logs\32k\G_30000.pth
+2023-02-22 09:23:20,758	32k	INFO	Saving model and optimizer state at iteration 307 to ./logs\32k\D_30000.pth
+2023-02-22 09:24:37,562	32k	INFO	====> Epoch: 307
+2023-02-22 09:26:23,740	32k	INFO	====> Epoch: 308
+2023-02-22 09:26:59,601	32k	INFO	Train Epoch: 309 [16%]
+2023-02-22 09:26:59,601	32k	INFO	[2.4903805255889893, 2.4432358741760254, 9.264269828796387, 16.382070541381836, 0.8371724486351013, 30200, 9.622293891795867e-05]
+2023-02-22 09:28:09,664	32k	INFO	====> Epoch: 309
+2023-02-22 09:29:55,317	32k	INFO	====> Epoch: 310
+2023-02-22 09:30:34,487	32k	INFO	Train Epoch: 311 [20%]
+2023-02-22 09:30:34,487	32k	INFO	[2.6089067459106445, 2.180260181427002, 6.335816860198975, 10.976472854614258, 0.98526930809021, 30400, 9.619888468671259e-05]
+2023-02-22 09:31:41,120	32k	INFO	====> Epoch: 311
+2023-02-22 09:33:27,469	32k	INFO	====> Epoch: 312
+2023-02-22 09:34:10,970	32k	INFO	Train Epoch: 313 [24%]
+2023-02-22 09:34:10,970	32k	INFO	[2.2308130264282227, 2.525303363800049, 13.083917617797852, 19.732345581054688, 0.6941409707069397, 30600, 9.617483646864849e-05]
+2023-02-22 09:35:14,173	32k	INFO	====> Epoch: 313
+2023-02-22 09:36:59,697	32k	INFO	====> Epoch: 314
+2023-02-22 09:37:45,817	32k	INFO	Train Epoch: 315 [29%]
+2023-02-22 09:37:45,818	32k	INFO	[2.5213077068328857, 2.46886944770813, 10.760324478149414, 19.334060668945312, 0.5704622268676758, 30800, 9.615079426226314e-05]
+2023-02-22 09:38:45,598	32k	INFO	====> Epoch: 315
+2023-02-22 09:40:31,200	32k	INFO	====> Epoch: 316
+2023-02-22 09:41:21,493	32k	INFO	Train Epoch: 317 [33%]
+2023-02-22 09:41:21,493	32k	INFO	[2.1243271827697754, 2.5788512229919434, 12.918538093566895, 20.69605827331543, 0.9645518064498901, 31000, 9.612675806605373e-05]
+2023-02-22 09:41:26,457	32k	INFO	Saving model and optimizer state at iteration 317 to ./logs\32k\G_31000.pth
+2023-02-22 09:41:44,385	32k	INFO	Saving model and optimizer state at iteration 317 to ./logs\32k\D_31000.pth
+2023-02-22 09:42:44,191	32k	INFO	====> Epoch: 317
+2023-02-22 09:44:30,505	32k	INFO	====> Epoch: 318
+2023-02-22 09:45:24,342	32k	INFO	Train Epoch: 319 [37%]
+2023-02-22 09:45:24,343	32k	INFO	[2.4621365070343018, 2.3512632846832275, 11.532454490661621, 16.673147201538086, 1.0516586303710938, 31200, 9.61027278785178e-05]
+2023-02-22 09:46:17,300	32k	INFO	====> Epoch: 319
+2023-02-22 09:48:02,873	32k	INFO	====> Epoch: 320
+2023-02-22 09:48:59,267	32k	INFO	Train Epoch: 321 [41%]
+2023-02-22 09:48:59,267	32k	INFO	[2.293076992034912, 2.460491180419922, 15.437559127807617, 19.99898910522461, 0.8674603700637817, 31400, 9.60787036981533e-05]
+2023-02-22 09:49:48,764	32k	INFO	====> Epoch: 321
+2023-02-22 09:51:34,708	32k	INFO	====> Epoch: 322
+2023-02-22 09:52:34,630	32k	INFO	Train Epoch: 323 [45%]
+2023-02-22 09:52:34,630	32k	INFO	[2.3757669925689697, 2.392949104309082, 14.556235313415527, 18.955732345581055, 0.8770878911018372, 31600, 9.60546855234585e-05]
+2023-02-22 09:53:20,914	32k	INFO	====> Epoch: 323
+2023-02-22 09:55:07,269	32k	INFO	====> Epoch: 324
+2023-02-22 09:56:10,506	32k	INFO	Train Epoch: 325 [49%]
+2023-02-22 09:56:10,507	32k	INFO	[2.3360633850097656, 2.545222520828247, 11.59161376953125, 17.103670120239258, 0.7123858332633972, 31800, 9.603067335293209e-05]
+2023-02-22 09:56:53,220	32k	INFO	====> Epoch: 325
+2023-02-22 09:58:38,902	32k	INFO	====> Epoch: 326
+2023-02-22 09:59:45,549	32k	INFO	Train Epoch: 327 [53%]
+2023-02-22 09:59:45,549	32k	INFO	[2.3887226581573486, 2.382225275039673, 9.169524192810059, 15.562906265258789, 0.9378204345703125, 32000, 9.600666718507311e-05]
+2023-02-22 09:59:50,519	32k	INFO	Saving model and optimizer state at iteration 327 to ./logs\32k\G_32000.pth
+2023-02-22 10:00:08,092	32k	INFO	Saving model and optimizer state at iteration 327 to ./logs\32k\D_32000.pth
+2023-02-22 10:00:50,689	32k	INFO	====> Epoch: 327
+2023-02-22 10:02:36,996	32k	INFO	====> Epoch: 328
+2023-02-22 10:03:47,898	32k	INFO	Train Epoch: 329 [57%]
+2023-02-22 10:03:47,899	32k	INFO	[2.1435623168945312, 2.491894483566284, 13.545025825500488, 17.95233726501465, 0.8276446461677551, 32200, 9.5982667018381e-05]
+2023-02-22 10:04:23,585	32k	INFO	====> Epoch: 329
+2023-02-22 10:06:09,160	32k	INFO	====> Epoch: 330
+2023-02-22 10:07:22,888	32k	INFO	Train Epoch: 331 [61%]
+2023-02-22 10:07:22,889	32k	INFO	[2.53352952003479, 2.79293155670166, 10.536802291870117, 17.276477813720703, 0.7348306179046631, 32400, 9.595867285135558e-05]
+2023-02-22 10:07:55,166	32k	INFO	====> Epoch: 331
+2023-02-22 10:09:54,170	32k	INFO	====> Epoch: 332
+2023-02-22 10:11:11,362	32k	INFO	Train Epoch: 333 [65%]
+2023-02-22 10:11:11,362	32k	INFO	[2.3337302207946777, 2.2436773777008057, 11.43968391418457, 16.059717178344727, 0.6464142203330994, 32600, 9.5934684682497e-05]
+2023-02-22 10:11:40,327	32k	INFO	====> Epoch: 333
+2023-02-22 10:13:26,239	32k	INFO	====> Epoch: 334
+2023-02-22 10:14:46,735	32k	INFO	Train Epoch: 335 [69%]
+2023-02-22 10:14:46,736	32k	INFO	[2.341135025024414, 2.178755044937134, 12.009360313415527, 17.662372589111328, 0.6575217247009277, 32800, 9.591070251030582e-05]
+2023-02-22 10:15:12,226	32k	INFO	====> Epoch: 335
+2023-02-22 10:16:58,071	32k	INFO	====> Epoch: 336
+2023-02-22 10:18:22,210	32k	INFO	Train Epoch: 337 [73%]
+2023-02-22 10:18:22,210	32k	INFO	[2.5522103309631348, 2.188314914703369, 10.32480525970459, 15.917875289916992, 0.5481040477752686, 33000, 9.588672633328296e-05]
+2023-02-22 10:18:26,497	32k	INFO	Saving model and optimizer state at iteration 337 to ./logs\32k\G_33000.pth
+2023-02-22 10:18:44,754	32k	INFO	Saving model and optimizer state at iteration 337 to ./logs\32k\D_33000.pth
+2023-02-22 10:19:10,032	32k	INFO	====> Epoch: 337
+2023-02-22 10:20:56,519	32k	INFO	====> Epoch: 338
+2023-02-22 10:22:23,859	32k	INFO	Train Epoch: 339 [78%]
+2023-02-22 10:22:23,859	32k	INFO	[2.4190073013305664, 2.2712206840515137, 11.071868896484375, 18.608346939086914, 1.2736413478851318, 33200, 9.586275614992974e-05]
+2023-02-22 10:22:42,496	32k	INFO	====> Epoch: 339
+2023-02-22 10:24:28,908	32k	INFO	====> Epoch: 340
+2023-02-22 10:26:00,569	32k	INFO	Train Epoch: 341 [82%]
+2023-02-22 10:26:00,569	32k	INFO	[2.5759196281433105, 2.485172748565674, 11.334334373474121, 16.11148452758789, 0.9113945364952087, 33400, 9.583879195874782e-05]
+2023-02-22 10:26:15,792	32k	INFO	====> Epoch: 341
+2023-02-22 10:28:02,420	32k	INFO	====> Epoch: 342
+2023-02-22 10:29:37,733	32k	INFO	Train Epoch: 343 [86%]
+2023-02-22 10:29:37,733	32k	INFO	[2.478440046310425, 2.6277501583099365, 11.949339866638184, 17.164081573486328, 0.7420394420623779, 33600, 9.581483375823925e-05]
+2023-02-22 10:29:49,553	32k	INFO	====> Epoch: 343
+2023-02-22 10:31:35,370	32k	INFO	====> Epoch: 344
+2023-02-22 10:33:13,278	32k	INFO	Train Epoch: 345 [90%]
+2023-02-22 10:33:13,278	32k	INFO	[2.514538288116455, 2.42301344871521, 11.596924781799316, 17.29451560974121, 0.6897502541542053, 33800, 9.579088154690645e-05]
+2023-02-22 10:33:21,550	32k	INFO	====> Epoch: 345
+2023-02-22 10:35:07,455	32k	INFO	====> Epoch: 346
+2023-02-22 10:36:48,752	32k	INFO	Train Epoch: 347 [94%]
+2023-02-22 10:36:48,752	32k	INFO	[2.37970232963562, 2.336655378341675, 12.431614875793457, 18.605751037597656, 0.8811375498771667, 34000, 9.576693532325224e-05]
+2023-02-22 10:36:53,130	32k	INFO	Saving model and optimizer state at iteration 347 to ./logs\32k\G_34000.pth
+2023-02-22 10:37:10,041	32k	INFO	Saving model and optimizer state at iteration 347 to ./logs\32k\D_34000.pth
+2023-02-22 10:37:18,304	32k	INFO	====> Epoch: 347
+2023-02-22 10:39:05,169	32k	INFO	====> Epoch: 348
+2023-02-22 10:40:49,972	32k	INFO	Train Epoch: 349 [98%]
+2023-02-22 10:40:49,972	32k	INFO	[2.4378786087036133, 2.316551446914673, 10.715349197387695, 14.96591854095459, 0.5559961199760437, 34200, 9.574299508577979e-05]
+2023-02-22 10:40:51,354	32k	INFO	====> Epoch: 349
+2023-02-22 10:42:37,890	32k	INFO	====> Epoch: 350
+2023-02-22 10:44:24,654	32k	INFO	====> Epoch: 351
+2023-02-22 10:44:49,299	32k	INFO	Train Epoch: 352 [2%]
+2023-02-22 10:44:49,300	32k	INFO	[2.4335520267486572, 2.271144151687622, 9.197824478149414, 14.361316680908203, 0.9935851693153381, 34400, 9.570709595038851e-05]
+2023-02-22 10:46:11,605	32k	INFO	====> Epoch: 352
+2023-02-22 10:47:58,244	32k	INFO	====> Epoch: 353
+2023-02-22 10:48:25,603	32k	INFO	Train Epoch: 354 [6%]
+2023-02-22 10:48:25,604	32k	INFO	[2.503721237182617, 2.299598217010498, 11.784101486206055, 17.45063018798828, 0.7507224678993225, 34600, 9.568317067182427e-05]
+2023-02-22 10:49:44,510	32k	INFO	====> Epoch: 354
+2023-02-22 10:51:30,297	32k	INFO	====> Epoch: 355
+2023-02-22 10:52:01,064	32k	INFO	Train Epoch: 356 [10%]
+2023-02-22 10:52:01,064	32k	INFO	[2.358137369155884, 2.391530990600586, 12.17978572845459, 17.948204040527344, 0.6102503538131714, 34800, 9.565925137420586e-05]
+2023-02-22 10:53:16,260	32k	INFO	====> Epoch: 356
+2023-02-22 10:55:05,634	32k	INFO	====> Epoch: 357
+2023-02-22 10:55:40,768	32k	INFO	Train Epoch: 358 [14%]
+2023-02-22 10:55:40,768	32k	INFO	[2.742542028427124, 2.216801166534424, 8.76644515991211, 14.839630126953125, 0.49059024453163147, 35000, 9.56353380560381e-05]
+2023-02-22 10:55:45,046	32k	INFO	Saving model and optimizer state at iteration 358 to ./logs\32k\G_35000.pth
+2023-02-22 10:56:01,246	32k	INFO	Saving model and optimizer state at iteration 358 to ./logs\32k\D_35000.pth
+2023-02-22 10:57:17,536	32k	INFO	====> Epoch: 358

32k-meril/D_12000.pth

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32k-meril/config.json

@@ -0,0 +1,90 @@
+{
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 1000,
+    "seed": 1234,
+    "epochs": 10000,
+    "learning_rate": 0.0001,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 6,
+    "fp16_run": false,
+    "lr_decay": 0.999875,
+    "segment_size": 17920,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "use_sr": true,
+    "max_speclen": 384,
+    "port": "8001"
+  },
+  "data": {
+    "training_files": "filelists/train.txt",
+    "validation_files": "filelists/val.txt",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 32000,
+    "filter_length": 1280,
+    "hop_length": 320,
+    "win_length": 1280,
+    "n_mel_channels": 80,
+    "mel_fmin": 0.0,
+    "mel_fmax": null
+  },
+  "model": {
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "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": [
+      10,
+      8,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      4,
+      4
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256,
+    "ssl_dim": 256,
+    "n_speakers": 2
+  },
+  "spk": {
+    "meril": 0
+  }
+}

32k-meril/train.log

@@ -0,0 +1,645 @@
+2023-02-26 08:23:18,928	32k	INFO	{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, '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': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'meril': 0}, 'model_dir': './logs\\32k'}
+2023-02-26 08:23:18,928	32k	WARNING	K:\AI\so-vits-svc-32k is not a git repository, therefore hash value comparison will be ignored.
+2023-02-26 08:23:34,708	32k	INFO	emb_g.weight is not in the checkpoint
+2023-02-26 08:23:34,818	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
+2023-02-26 08:23:35,956	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
+2023-02-26 08:24:07,398	32k	INFO	Train Epoch: 1 [0%]
+2023-02-26 08:24:07,399	32k	INFO	[6.396151542663574, 2.3192086219787598, 11.437691688537598, 50.04783248901367, 12.884584426879883, 0, 0.0001]
+2023-02-26 08:24:14,320	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
+2023-02-26 08:24:29,149	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
+2023-02-26 08:26:57,094	32k	INFO	====> Epoch: 1
+2023-02-26 08:27:48,937	32k	INFO	Train Epoch: 2 [21%]
+2023-02-26 08:27:48,937	32k	INFO	[2.6703596115112305, 2.1580634117126465, 11.49161434173584, 22.269886016845703, 1.027299404144287, 200, 9.99875e-05]
+2023-02-26 08:29:40,443	32k	INFO	====> Epoch: 2
+2023-02-26 08:31:02,090	32k	INFO	Train Epoch: 3 [42%]
+2023-02-26 08:31:02,091	32k	INFO	[2.5759048461914062, 2.196209192276001, 13.65181827545166, 22.816627502441406, 0.9087493419647217, 400, 9.99750015625e-05]
+2023-02-26 08:32:23,299	32k	INFO	====> Epoch: 3
+2023-02-26 08:34:14,621	32k	INFO	Train Epoch: 4 [64%]
+2023-02-26 08:34:14,621	32k	INFO	[2.3012750148773193, 2.5668628215789795, 8.850838661193848, 16.783226013183594, 1.1684110164642334, 600, 9.996250468730469e-05]
+2023-02-26 08:35:05,788	32k	INFO	====> Epoch: 4
+2023-02-26 08:37:27,454	32k	INFO	Train Epoch: 5 [85%]
+2023-02-26 08:37:27,455	32k	INFO	[2.5453319549560547, 2.3678677082061768, 11.264457702636719, 20.05609130859375, 1.1281580924987793, 800, 9.995000937421877e-05]
+2023-02-26 08:37:48,604	32k	INFO	====> Epoch: 5
+2023-02-26 08:40:30,764	32k	INFO	====> Epoch: 6
+2023-02-26 08:41:00,695	32k	INFO	Train Epoch: 7 [6%]
+2023-02-26 08:41:00,696	32k	INFO	[2.663148880004883, 2.078253746032715, 7.356672286987305, 15.606974601745605, 0.9389564990997314, 1000, 9.99250234335941e-05]
+2023-02-26 08:41:05,158	32k	INFO	Saving model and optimizer state at iteration 7 to ./logs\32k\G_1000.pth
+2023-02-26 08:41:18,568	32k	INFO	Saving model and optimizer state at iteration 7 to ./logs\32k\D_1000.pth
+2023-02-26 08:43:34,949	32k	INFO	====> Epoch: 7
+2023-02-26 08:44:35,017	32k	INFO	Train Epoch: 8 [27%]
+2023-02-26 08:44:35,017	32k	INFO	[2.3168065547943115, 2.6603329181671143, 8.887020111083984, 17.153154373168945, 1.0433679819107056, 1200, 9.991253280566489e-05]
+2023-02-26 08:46:17,519	32k	INFO	====> Epoch: 8
+2023-02-26 08:47:47,469	32k	INFO	Train Epoch: 9 [48%]
+2023-02-26 08:47:47,469	32k	INFO	[2.3874289989471436, 2.434887170791626, 11.490910530090332, 21.34469985961914, 0.8404753804206848, 1400, 9.990004373906418e-05]
+2023-02-26 08:49:00,098	32k	INFO	====> Epoch: 9
+2023-02-26 08:51:00,214	32k	INFO	Train Epoch: 10 [70%]
+2023-02-26 08:51:00,214	32k	INFO	[2.1876630783081055, 2.5636796951293945, 12.61434555053711, 23.038005828857422, 0.9913359880447388, 1600, 9.98875562335968e-05]
+2023-02-26 08:51:42,829	32k	INFO	====> Epoch: 10
+2023-02-26 08:54:12,770	32k	INFO	Train Epoch: 11 [91%]
+2023-02-26 08:54:12,771	32k	INFO	[2.3796133995056152, 2.9137446880340576, 11.033517837524414, 21.80364227294922, 0.69889235496521, 1800, 9.987507028906759e-05]
+2023-02-26 08:54:25,282	32k	INFO	====> Epoch: 11
+2023-02-26 08:57:07,397	32k	INFO	====> Epoch: 12
+2023-02-26 08:57:45,982	32k	INFO	Train Epoch: 13 [12%]
+2023-02-26 08:57:45,982	32k	INFO	[2.590365409851074, 2.162517547607422, 12.567984580993652, 20.611303329467773, 0.8790818452835083, 2000, 9.98501030820433e-05]
+2023-02-26 08:57:50,455	32k	INFO	Saving model and optimizer state at iteration 13 to ./logs\32k\G_2000.pth
+2023-02-26 08:58:06,096	32k	INFO	Saving model and optimizer state at iteration 13 to ./logs\32k\D_2000.pth
+2023-02-26 09:00:13,474	32k	INFO	====> Epoch: 13
+2023-02-26 09:01:22,067	32k	INFO	Train Epoch: 14 [33%]
+2023-02-26 09:01:22,067	32k	INFO	[2.7683796882629395, 2.2413697242736816, 7.833517551422119, 17.857086181640625, 1.1680740118026733, 2200, 9.983762181915804e-05]
+2023-02-26 09:02:56,328	32k	INFO	====> Epoch: 14
+2023-02-26 09:04:34,974	32k	INFO	Train Epoch: 15 [55%]
+2023-02-26 09:04:34,974	32k	INFO	[2.3525094985961914, 2.3344459533691406, 12.257208824157715, 19.89115333557129, 0.9875838160514832, 2400, 9.982514211643064e-05]
+2023-02-26 09:05:39,025	32k	INFO	====> Epoch: 15
+2023-02-26 09:07:47,693	32k	INFO	Train Epoch: 16 [76%]
+2023-02-26 09:07:47,693	32k	INFO	[2.6893608570098877, 2.344364881515503, 10.605229377746582, 19.090167999267578, 0.780343234539032, 2600, 9.981266397366609e-05]
+2023-02-26 09:08:21,682	32k	INFO	====> Epoch: 16
+2023-02-26 09:11:00,144	32k	INFO	Train Epoch: 17 [97%]
+2023-02-26 09:11:00,144	32k	INFO	[2.524367570877075, 2.1253821849823, 10.096750259399414, 19.844287872314453, 1.2072694301605225, 2800, 9.980018739066937e-05]
+2023-02-26 09:11:04,092	32k	INFO	====> Epoch: 17
+2023-02-26 09:13:46,167	32k	INFO	====> Epoch: 18
+2023-02-26 09:14:33,368	32k	INFO	Train Epoch: 19 [18%]
+2023-02-26 09:14:33,368	32k	INFO	[2.5664799213409424, 2.009101629257202, 15.13039493560791, 22.3335018157959, 0.9496199488639832, 3000, 9.977523890319963e-05]
+2023-02-26 09:14:37,794	32k	INFO	Saving model and optimizer state at iteration 19 to ./logs\32k\G_3000.pth
+2023-02-26 09:14:55,196	32k	INFO	Saving model and optimizer state at iteration 19 to ./logs\32k\D_3000.pth
+2023-02-26 09:16:54,310	32k	INFO	====> Epoch: 19
+2023-02-26 09:18:11,582	32k	INFO	Train Epoch: 20 [39%]
+2023-02-26 09:18:11,582	32k	INFO	[2.4653780460357666, 2.1782279014587402, 10.213360786437988, 17.996280670166016, 1.3770432472229004, 3200, 9.976276699833672e-05]
+2023-02-26 09:19:37,287	32k	INFO	====> Epoch: 20
+2023-02-26 09:21:24,337	32k	INFO	Train Epoch: 21 [61%]
+2023-02-26 09:21:24,337	32k	INFO	[2.3505122661590576, 2.285341262817383, 12.031506538391113, 21.24757957458496, 0.6532730460166931, 3400, 9.975029665246193e-05]
+2023-02-26 09:22:19,751	32k	INFO	====> Epoch: 21
+2023-02-26 09:24:36,978	32k	INFO	Train Epoch: 22 [82%]
+2023-02-26 09:24:36,979	32k	INFO	[2.295872688293457, 2.435206413269043, 13.174171447753906, 20.36532974243164, 1.0691040754318237, 3600, 9.973782786538036e-05]
+2023-02-26 09:25:02,486	32k	INFO	====> Epoch: 22
+2023-02-26 09:27:44,742	32k	INFO	====> Epoch: 23
+2023-02-26 09:28:10,473	32k	INFO	Train Epoch: 24 [3%]
+2023-02-26 09:28:10,474	32k	INFO	[2.4777655601501465, 2.438159942626953, 10.104680061340332, 20.890073776245117, 0.7508599758148193, 3800, 9.971289496681757e-05]
+2023-02-26 09:30:27,585	32k	INFO	====> Epoch: 24
+2023-02-26 09:31:23,330	32k	INFO	Train Epoch: 25 [24%]
+2023-02-26 09:31:23,331	32k	INFO	[2.547969341278076, 2.103365421295166, 8.601760864257812, 17.903499603271484, 1.1798760890960693, 4000, 9.970043085494672e-05]
+2023-02-26 09:31:27,787	32k	INFO	Saving model and optimizer state at iteration 25 to ./logs\32k\G_4000.pth
+2023-02-26 09:31:42,830	32k	INFO	Saving model and optimizer state at iteration 25 to ./logs\32k\D_4000.pth
+2023-02-26 09:33:33,295	32k	INFO	====> Epoch: 25
+2023-02-26 09:34:58,902	32k	INFO	Train Epoch: 26 [45%]
+2023-02-26 09:34:58,903	32k	INFO	[2.509209632873535, 2.2358999252319336, 11.01781940460205, 20.53192710876465, 1.0602046251296997, 4200, 9.968796830108985e-05]
+2023-02-26 09:36:15,852	32k	INFO	====> Epoch: 26
+2023-02-26 09:38:11,412	32k	INFO	Train Epoch: 27 [67%]
+2023-02-26 09:38:11,412	32k	INFO	[2.666337490081787, 2.08825421333313, 9.963523864746094, 18.926380157470703, 1.1029638051986694, 4400, 9.967550730505221e-05]
+2023-02-26 09:38:58,150	32k	INFO	====> Epoch: 27
+2023-02-26 09:41:23,952	32k	INFO	Train Epoch: 28 [88%]
+2023-02-26 09:41:23,953	32k	INFO	[2.410893678665161, 2.41351318359375, 11.717813491821289, 20.35811996459961, 0.8942963480949402, 4600, 9.966304786663908e-05]
+2023-02-26 09:41:40,917	32k	INFO	====> Epoch: 28
+2023-02-26 09:44:23,546	32k	INFO	====> Epoch: 29
+2023-02-26 09:44:57,880	32k	INFO	Train Epoch: 30 [9%]
+2023-02-26 09:44:57,880	32k	INFO	[2.4157967567443848, 2.2903125286102295, 10.10302448272705, 17.93283462524414, 0.8192426562309265, 4800, 9.963813366190753e-05]
+2023-02-26 09:47:06,129	32k	INFO	====> Epoch: 30
+2023-02-26 09:48:10,482	32k	INFO	Train Epoch: 31 [30%]
+2023-02-26 09:48:10,483	32k	INFO	[2.456360101699829, 2.292372465133667, 11.75523567199707, 22.287111282348633, 1.0126503705978394, 5000, 9.962567889519979e-05]
+2023-02-26 09:48:14,931	32k	INFO	Saving model and optimizer state at iteration 31 to ./logs\32k\G_5000.pth
+2023-02-26 09:48:33,569	32k	INFO	Saving model and optimizer state at iteration 31 to ./logs\32k\D_5000.pth
+2023-02-26 09:50:15,366	32k	INFO	====> Epoch: 31
+2023-02-26 09:51:49,619	32k	INFO	Train Epoch: 32 [52%]
+2023-02-26 09:51:49,619	32k	INFO	[2.4675090312957764, 2.139700412750244, 10.635783195495605, 18.904586791992188, 1.133800745010376, 5200, 9.961322568533789e-05]
+2023-02-26 09:52:57,795	32k	INFO	====> Epoch: 32
+2023-02-26 09:55:02,298	32k	INFO	Train Epoch: 33 [73%]
+2023-02-26 09:55:02,299	32k	INFO	[2.346632480621338, 2.284864902496338, 10.70773696899414, 16.828781127929688, 0.8554806113243103, 5400, 9.960077403212722e-05]
+2023-02-26 09:55:40,602	32k	INFO	====> Epoch: 33
+2023-02-26 09:58:15,316	32k	INFO	Train Epoch: 34 [94%]
+2023-02-26 09:58:15,316	32k	INFO	[2.448796510696411, 2.3974175453186035, 9.994577407836914, 20.724594116210938, 0.7800424098968506, 5600, 9.95883239353732e-05]
+2023-02-26 09:58:23,670	32k	INFO	====> Epoch: 34
+2023-02-26 10:01:06,450	32k	INFO	====> Epoch: 35
+2023-02-26 10:01:49,384	32k	INFO	Train Epoch: 36 [15%]
+2023-02-26 10:01:49,384	32k	INFO	[2.4834535121917725, 2.215736150741577, 10.72994613647461, 20.1037654876709, 0.9641714096069336, 5800, 9.956342841045691e-05]
+2023-02-26 10:03:49,561	32k	INFO	====> Epoch: 36
+2023-02-26 10:05:02,545	32k	INFO	Train Epoch: 37 [36%]
+2023-02-26 10:05:02,546	32k	INFO	[2.2858619689941406, 2.297046422958374, 13.459763526916504, 20.353960037231445, 0.8896880745887756, 6000, 9.95509829819056e-05]
+2023-02-26 10:05:07,000	32k	INFO	Saving model and optimizer state at iteration 37 to ./logs\32k\G_6000.pth
+2023-02-26 10:05:21,749	32k	INFO	Saving model and optimizer state at iteration 37 to ./logs\32k\D_6000.pth
+2023-02-26 10:06:55,120	32k	INFO	====> Epoch: 37
+2023-02-26 10:08:38,237	32k	INFO	Train Epoch: 38 [58%]
+2023-02-26 10:08:38,237	32k	INFO	[2.468832015991211, 2.1250123977661133, 9.363271713256836, 16.582752227783203, 1.190895915031433, 6200, 9.953853910903285e-05]
+2023-02-26 10:09:38,270	32k	INFO	====> Epoch: 38
+2023-02-26 10:11:51,557	32k	INFO	Train Epoch: 39 [79%]
+2023-02-26 10:11:51,557	32k	INFO	[2.4695611000061035, 2.5815343856811523, 10.841808319091797, 20.596200942993164, 1.0436564683914185, 6400, 9.952609679164422e-05]
+2023-02-26 10:12:21,372	32k	INFO	====> Epoch: 39
+2023-02-26 10:15:03,991	32k	INFO	====> Epoch: 40
+2023-02-26 10:15:25,470	32k	INFO	Train Epoch: 41 [0%]
+2023-02-26 10:15:25,470	32k	INFO	[2.4647908210754395, 2.4343149662017822, 9.655537605285645, 17.267290115356445, 1.031686782836914, 6600, 9.950121682254156e-05]
+2023-02-26 10:17:46,940	32k	INFO	====> Epoch: 41
+2023-02-26 10:18:38,447	32k	INFO	Train Epoch: 42 [21%]
+2023-02-26 10:18:38,447	32k	INFO	[2.5329630374908447, 2.130812644958496, 11.61275863647461, 16.99370574951172, 0.6277658939361572, 6800, 9.948877917043875e-05]
+2023-02-26 10:20:29,739	32k	INFO	====> Epoch: 42
+2023-02-26 10:21:51,358	32k	INFO	Train Epoch: 43 [42%]
+2023-02-26 10:21:51,358	32k	INFO	[2.4816935062408447, 2.166879415512085, 8.776912689208984, 14.728988647460938, 0.7365485429763794, 7000, 9.947634307304244e-05]
+2023-02-26 10:21:55,799	32k	INFO	Saving model and optimizer state at iteration 43 to ./logs\32k\G_7000.pth
+2023-02-26 10:22:13,584	32k	INFO	Saving model and optimizer state at iteration 43 to ./logs\32k\D_7000.pth
+2023-02-26 10:23:38,459	32k	INFO	====> Epoch: 43
+2023-02-26 10:25:30,320	32k	INFO	Train Epoch: 44 [64%]
+2023-02-26 10:25:30,321	32k	INFO	[2.4604673385620117, 2.3776729106903076, 9.516617774963379, 18.740528106689453, 0.7489030361175537, 7200, 9.94639085301583e-05]
+2023-02-26 10:26:21,626	32k	INFO	====> Epoch: 44
+2023-02-26 10:28:43,231	32k	INFO	Train Epoch: 45 [85%]
+2023-02-26 10:28:43,231	32k	INFO	[2.274491786956787, 2.4330806732177734, 11.296477317810059, 20.537822723388672, 0.806971549987793, 7400, 9.945147554159202e-05]
+2023-02-26 10:29:04,414	32k	INFO	====> Epoch: 45
+2023-02-26 10:31:47,148	32k	INFO	====> Epoch: 46
+2023-02-26 10:32:17,260	32k	INFO	Train Epoch: 47 [6%]
+2023-02-26 10:32:17,260	32k	INFO	[2.7507975101470947, 2.126884698867798, 6.915186405181885, 13.514629364013672, 1.2603626251220703, 7600, 9.942661422663591e-05]
+2023-02-26 10:34:30,480	32k	INFO	====> Epoch: 47
+2023-02-26 10:35:30,556	32k	INFO	Train Epoch: 48 [27%]
+2023-02-26 10:35:30,556	32k	INFO	[2.0968923568725586, 2.708631992340088, 13.675420761108398, 20.606611251831055, 0.8771938681602478, 7800, 9.941418589985758e-05]
+2023-02-26 10:37:13,522	32k	INFO	====> Epoch: 48
+2023-02-26 10:38:43,695	32k	INFO	Train Epoch: 49 [48%]
+2023-02-26 10:38:43,695	32k	INFO	[2.3763391971588135, 2.3627359867095947, 9.687402725219727, 16.78105354309082, 1.0562866926193237, 8000, 9.940175912662009e-05]
+2023-02-26 10:38:48,175	32k	INFO	Saving model and optimizer state at iteration 49 to ./logs\32k\G_8000.pth
+2023-02-26 10:39:01,774	32k	INFO	Saving model and optimizer state at iteration 49 to ./logs\32k\D_8000.pth
+2023-02-26 10:40:17,615	32k	INFO	====> Epoch: 49
+2023-02-26 10:42:17,724	32k	INFO	Train Epoch: 50 [70%]
+2023-02-26 10:42:17,725	32k	INFO	[2.344200611114502, 2.1781373023986816, 11.780096054077148, 18.40574073791504, 1.086164116859436, 8200, 9.938933390672926e-05]
+2023-02-26 10:43:00,363	32k	INFO	====> Epoch: 50
+2023-02-26 10:45:30,408	32k	INFO	Train Epoch: 51 [91%]
+2023-02-26 10:45:30,408	32k	INFO	[2.4205174446105957, 2.7213199138641357, 7.73087215423584, 15.820646286010742, 0.7065295577049255, 8400, 9.937691023999092e-05]
+2023-02-26 10:45:43,007	32k	INFO	====> Epoch: 51
+2023-02-26 10:48:26,056	32k	INFO	====> Epoch: 52
+2023-02-26 10:49:04,736	32k	INFO	Train Epoch: 53 [12%]
+2023-02-26 10:49:04,737	32k	INFO	[2.5237555503845215, 2.2003116607666016, 8.608362197875977, 19.112735748291016, 0.7628692984580994, 8600, 9.935206756519513e-05]
+2023-02-26 10:51:09,259	32k	INFO	====> Epoch: 53
+2023-02-26 10:52:17,858	32k	INFO	Train Epoch: 54 [33%]
+2023-02-26 10:52:17,858	32k	INFO	[2.260878562927246, 2.6713953018188477, 8.389069557189941, 18.49284553527832, 0.44008728861808777, 8800, 9.933964855674948e-05]
+2023-02-26 10:53:51,921	32k	INFO	====> Epoch: 54
+2023-02-26 10:55:30,509	32k	INFO	Train Epoch: 55 [55%]
+2023-02-26 10:55:30,509	32k	INFO	[2.3566603660583496, 2.293156385421753, 10.89488410949707, 21.621196746826172, 0.8128052949905396, 9000, 9.932723110067987e-05]
+2023-02-26 10:55:34,991	32k	INFO	Saving model and optimizer state at iteration 55 to ./logs\32k\G_9000.pth
+2023-02-26 10:55:51,219	32k	INFO	Saving model and optimizer state at iteration 55 to ./logs\32k\D_9000.pth
+2023-02-26 10:56:58,333	32k	INFO	====> Epoch: 55
+2023-02-26 10:59:07,126	32k	INFO	Train Epoch: 56 [76%]
+2023-02-26 10:59:07,126	32k	INFO	[2.519491195678711, 2.2075395584106445, 8.736771583557129, 16.377058029174805, 1.0564581155776978, 9200, 9.931481519679228e-05]
+2023-02-26 10:59:41,285	32k	INFO	====> Epoch: 56
+2023-02-26 11:02:20,544	32k	INFO	Train Epoch: 57 [97%]
+2023-02-26 11:02:20,544	32k	INFO	[2.3525781631469727, 2.154360771179199, 6.794205665588379, 13.52789306640625, 0.7326827645301819, 9400, 9.930240084489267e-05]
+2023-02-26 11:02:24,511	32k	INFO	====> Epoch: 57
+2023-02-26 11:05:07,452	32k	INFO	====> Epoch: 58
+2023-02-26 11:05:54,673	32k	INFO	Train Epoch: 59 [18%]
+2023-02-26 11:05:54,673	32k	INFO	[2.4005348682403564, 2.302424907684326, 13.667900085449219, 19.535924911499023, 1.1588077545166016, 9600, 9.927757679628145e-05]
+2023-02-26 11:07:50,410	32k	INFO	====> Epoch: 59
+2023-02-26 11:09:07,843	32k	INFO	Train Epoch: 60 [39%]
+2023-02-26 11:09:07,843	32k	INFO	[2.6450674533843994, 2.2238292694091797, 9.370787620544434, 17.595104217529297, 1.1768231391906738, 9800, 9.926516709918191e-05]
+2023-02-26 11:10:33,485	32k	INFO	====> Epoch: 60
+2023-02-26 11:12:21,000	32k	INFO	Train Epoch: 61 [61%]
+2023-02-26 11:12:21,000	32k	INFO	[2.4990792274475098, 2.169142961502075, 10.941349983215332, 20.05807876586914, 0.4903837740421295, 10000, 9.92527589532945e-05]
+2023-02-26 11:12:25,586	32k	INFO	Saving model and optimizer state at iteration 61 to ./logs\32k\G_10000.pth
+2023-02-26 11:12:44,877	32k	INFO	Saving model and optimizer state at iteration 61 to ./logs\32k\D_10000.pth
+2023-02-26 11:13:43,760	32k	INFO	====> Epoch: 61
+2023-02-26 11:16:01,215	32k	INFO	Train Epoch: 62 [82%]
+2023-02-26 11:16:01,215	32k	INFO	[2.5079026222229004, 2.3164236545562744, 11.353753089904785, 17.586023330688477, 0.8176776170730591, 10200, 9.924035235842533e-05]
+2023-02-26 11:16:26,741	32k	INFO	====> Epoch: 62
+2023-02-26 11:19:09,446	32k	INFO	====> Epoch: 63
+2023-02-26 11:19:35,364	32k	INFO	Train Epoch: 64 [3%]
+2023-02-26 11:19:35,364	32k	INFO	[2.4500768184661865, 2.264669418334961, 10.30024528503418, 20.142595291137695, 0.8843652606010437, 10400, 9.921554382096622e-05]
+2023-02-26 11:21:51,912	32k	INFO	====> Epoch: 64
+2023-02-26 11:22:47,692	32k	INFO	Train Epoch: 65 [24%]
+2023-02-26 11:22:47,693	32k	INFO	[2.3112714290618896, 2.271970510482788, 11.571227073669434, 20.092790603637695, 1.156628966331482, 10600, 9.92031418779886e-05]
+2023-02-26 11:24:34,238	32k	INFO	====> Epoch: 65
+2023-02-26 11:26:00,281	32k	INFO	Train Epoch: 66 [45%]
+2023-02-26 11:26:00,281	32k	INFO	[2.2577104568481445, 2.4161815643310547, 13.695369720458984, 20.6165714263916, 0.7836306095123291, 10800, 9.919074148525384e-05]
+2023-02-26 11:27:17,333	32k	INFO	====> Epoch: 66
+2023-02-26 11:29:13,378	32k	INFO	Train Epoch: 67 [67%]
+2023-02-26 11:29:13,379	32k	INFO	[2.5594491958618164, 2.362276554107666, 8.985106468200684, 17.9657039642334, 0.5958060026168823, 11000, 9.917834264256819e-05]
+2023-02-26 11:29:17,966	32k	INFO	Saving model and optimizer state at iteration 67 to ./logs\32k\G_11000.pth
+2023-02-26 11:29:37,399	32k	INFO	Saving model and optimizer state at iteration 67 to ./logs\32k\D_11000.pth
+2023-02-26 11:30:27,649	32k	INFO	====> Epoch: 67
+2023-02-26 11:32:53,499	32k	INFO	Train Epoch: 68 [88%]
+2023-02-26 11:32:53,500	32k	INFO	[2.488551378250122, 2.086569309234619, 7.120002746582031, 15.225802421569824, 1.0212639570236206, 11200, 9.916594534973787e-05]
+2023-02-26 11:33:10,300	32k	INFO	====> Epoch: 68
+2023-02-26 11:35:52,703	32k	INFO	====> Epoch: 69
+2023-02-26 11:36:27,149	32k	INFO	Train Epoch: 70 [9%]
+2023-02-26 11:36:27,150	32k	INFO	[2.421487808227539, 2.171816825866699, 10.875814437866211, 18.283443450927734, 0.7764310836791992, 11400, 9.914115541286833e-05]
+2023-02-26 11:38:35,072	32k	INFO	====> Epoch: 70
+2023-02-26 11:39:39,324	32k	INFO	Train Epoch: 71 [30%]
+2023-02-26 11:39:39,325	32k	INFO	[2.53536319732666, 2.252779722213745, 8.362150192260742, 18.167621612548828, 0.8004449009895325, 11600, 9.912876276844171e-05]
+2023-02-26 11:41:17,298	32k	INFO	====> Epoch: 71
+2023-02-26 11:42:51,836	32k	INFO	Train Epoch: 72 [52%]
+2023-02-26 11:42:51,836	32k	INFO	[2.354383945465088, 2.426551342010498, 10.844928741455078, 19.34088897705078, 0.8941074013710022, 11800, 9.911637167309565e-05]
+2023-02-26 11:43:59,941	32k	INFO	====> Epoch: 72
+2023-02-26 11:46:04,250	32k	INFO	Train Epoch: 73 [73%]
+2023-02-26 11:46:04,250	32k	INFO	[2.426401376724243, 2.322526454925537, 12.05467700958252, 20.506017684936523, 0.779582142829895, 12000, 9.910398212663652e-05]
+2023-02-26 11:46:08,787	32k	INFO	Saving model and optimizer state at iteration 73 to ./logs\32k\G_12000.pth
+2023-02-26 11:46:29,376	32k	INFO	Saving model and optimizer state at iteration 73 to ./logs\32k\D_12000.pth
+2023-02-26 11:47:11,053	32k	INFO	====> Epoch: 73
+2023-02-26 11:49:45,489	32k	INFO	Train Epoch: 74 [94%]
+2023-02-26 11:49:45,490	32k	INFO	[2.5343637466430664, 2.27656888961792, 7.482431411743164, 15.527031898498535, 1.1111173629760742, 12200, 9.909159412887068e-05]
+2023-02-26 11:49:53,749	32k	INFO	====> Epoch: 74
+2023-02-26 11:52:35,964	32k	INFO	====> Epoch: 75
+2023-02-26 11:53:19,010	32k	INFO	Train Epoch: 76 [15%]
+2023-02-26 11:53:19,011	32k	INFO	[2.406834363937378, 2.1646063327789307, 11.008843421936035, 19.259048461914062, 0.9326943159103394, 12400, 9.906682277864462e-05]
+2023-02-26 11:55:19,408	32k	INFO	====> Epoch: 76
+2023-02-26 11:56:32,760	32k	INFO	Train Epoch: 77 [36%]
+2023-02-26 11:56:32,761	32k	INFO	[2.4522836208343506, 2.1643474102020264, 8.926955223083496, 16.831026077270508, 0.900156557559967, 12600, 9.905443942579728e-05]
+2023-02-26 11:58:02,659	32k	INFO	====> Epoch: 77
+2023-02-26 11:59:45,816	32k	INFO	Train Epoch: 78 [58%]
+2023-02-26 11:59:45,816	32k	INFO	[2.5271518230438232, 1.9529402256011963, 10.654559135437012, 18.19529914855957, 0.8628219366073608, 12800, 9.904205762086905e-05]
+2023-02-26 12:00:45,628	32k	INFO	====> Epoch: 78
+2023-02-26 12:02:58,997	32k	INFO	Train Epoch: 79 [79%]
+2023-02-26 12:02:58,997	32k	INFO	[2.6350643634796143, 2.541313648223877, 8.186237335205078, 15.443192481994629, 0.9821919202804565, 13000, 9.902967736366644e-05]
+2023-02-26 12:03:03,614	32k	INFO	Saving model and optimizer state at iteration 79 to ./logs\32k\G_13000.pth
+2023-02-26 12:03:21,550	32k	INFO	Saving model and optimizer state at iteration 79 to ./logs\32k\D_13000.pth
+2023-02-26 12:03:54,598	32k	INFO	====> Epoch: 79
+2023-02-26 12:06:37,363	32k	INFO	====> Epoch: 80
+2023-02-26 12:06:58,998	32k	INFO	Train Epoch: 81 [0%]
+2023-02-26 12:06:58,998	32k	INFO	[2.4078915119171143, 2.3199801445007324, 11.23653793334961, 20.276243209838867, 1.1815028190612793, 13200, 9.900492149166423e-05]
+2023-02-26 12:09:20,572	32k	INFO	====> Epoch: 81
+2023-02-26 12:10:12,077	32k	INFO	Train Epoch: 82 [21%]
+2023-02-26 12:10:12,077	32k	INFO	[2.6164400577545166, 2.0303988456726074, 9.276334762573242, 16.739444732666016, 0.6553909778594971, 13400, 9.899254587647776e-05]
+2023-02-26 12:12:03,130	32k	INFO	====> Epoch: 82
+2023-02-26 12:13:24,471	32k	INFO	Train Epoch: 83 [42%]
+2023-02-26 12:13:24,471	32k	INFO	[2.5159566402435303, 2.14263916015625, 9.134819984436035, 15.940903663635254, 0.8988858461380005, 13600, 9.89801718082432e-05]
+2023-02-26 12:14:45,738	32k	INFO	====> Epoch: 83
+2023-02-26 12:16:37,387	32k	INFO	Train Epoch: 84 [64%]
+2023-02-26 12:16:37,387	32k	INFO	[2.477391242980957, 2.244145393371582, 10.206537246704102, 18.64247703552246, 1.085805058479309, 13800, 9.896779928676716e-05]
+2023-02-26 12:17:28,668	32k	INFO	====> Epoch: 84
+2023-02-26 12:19:51,028	32k	INFO	Train Epoch: 85 [85%]
+2023-02-26 12:19:51,028	32k	INFO	[2.391843557357788, 2.3440544605255127, 9.451476097106934, 18.754911422729492, 0.7714139819145203, 14000, 9.895542831185631e-05]
+2023-02-26 12:19:55,663	32k	INFO	Saving model and optimizer state at iteration 85 to ./logs\32k\G_14000.pth
+2023-02-26 12:20:14,439	32k	INFO	Saving model and optimizer state at iteration 85 to ./logs\32k\D_14000.pth
+2023-02-26 12:20:38,984	32k	INFO	====> Epoch: 85
+2023-02-26 12:23:21,881	32k	INFO	====> Epoch: 86
+2023-02-26 12:23:52,036	32k	INFO	Train Epoch: 87 [6%]
+2023-02-26 12:23:52,036	32k	INFO	[2.5880343914031982, 2.229883909225464, 9.676251411437988, 17.177593231201172, 1.0161173343658447, 14200, 9.89306910009569e-05]
+2023-02-26 12:26:04,685	32k	INFO	====> Epoch: 87
+2023-02-26 12:27:04,860	32k	INFO	Train Epoch: 88 [27%]
+2023-02-26 12:27:04,861	32k	INFO	[2.4286739826202393, 2.340498685836792, 8.028197288513184, 17.648345947265625, 0.772789716720581, 14400, 9.891832466458178e-05]
+2023-02-26 12:28:47,879	32k	INFO	====> Epoch: 88
+2023-02-26 12:30:17,930	32k	INFO	Train Epoch: 89 [48%]
+2023-02-26 12:30:17,930	32k	INFO	[2.43446683883667, 2.1952078342437744, 9.100362777709961, 15.110132217407227, 0.9286537170410156, 14600, 9.89059598739987e-05]
+2023-02-26 12:31:30,914	32k	INFO	====> Epoch: 89
+2023-02-26 12:33:31,510	32k	INFO	Train Epoch: 90 [70%]
+2023-02-26 12:33:31,510	32k	INFO	[2.373197078704834, 2.1595218181610107, 11.149375915527344, 18.03667640686035, 1.4922605752944946, 14800, 9.889359662901445e-05]
+2023-02-26 12:34:14,202	32k	INFO	====> Epoch: 90
+2023-02-26 12:36:44,894	32k	INFO	Train Epoch: 91 [91%]
+2023-02-26 12:36:44,894	32k	INFO	[2.510439872741699, 2.3874175548553467, 10.754826545715332, 17.15918731689453, 0.9694947004318237, 15000, 9.888123492943583e-05]
+2023-02-26 12:36:49,496	32k	INFO	Saving model and optimizer state at iteration 91 to ./logs\32k\G_15000.pth
+2023-02-26 12:37:05,821	32k	INFO	Saving model and optimizer state at iteration 91 to ./logs\32k\D_15000.pth
+2023-02-26 12:37:21,861	32k	INFO	====> Epoch: 91
+2023-02-26 12:40:04,580	32k	INFO	====> Epoch: 92
+2023-02-26 12:40:43,339	32k	INFO	Train Epoch: 93 [12%]
+2023-02-26 12:40:43,339	32k	INFO	[2.642388105392456, 2.06752872467041, 8.832306861877441, 16.4188232421875, 0.5744019150733948, 15200, 9.885651616572276e-05]
+2023-02-26 12:42:47,745	32k	INFO	====> Epoch: 93
+2023-02-26 12:43:56,624	32k	INFO	Train Epoch: 94 [33%]
+2023-02-26 12:43:56,624	32k	INFO	[2.478945255279541, 2.3418726921081543, 8.750991821289062, 18.5238094329834, 0.5728946924209595, 15400, 9.884415910120204e-05]
+2023-02-26 12:45:31,004	32k	INFO	====> Epoch: 94
+2023-02-26 12:47:10,134	32k	INFO	Train Epoch: 95 [55%]
+2023-02-26 12:47:10,134	32k	INFO	[2.3579206466674805, 2.31203031539917, 12.870414733886719, 18.046958923339844, 0.9995560050010681, 15600, 9.883180358131438e-05]
+2023-02-26 12:48:14,547	32k	INFO	====> Epoch: 95
+2023-02-26 12:50:23,600	32k	INFO	Train Epoch: 96 [76%]
+2023-02-26 12:50:23,601	32k	INFO	[2.4442484378814697, 2.2578535079956055, 13.333099365234375, 20.16985511779785, 0.7437376379966736, 15800, 9.881944960586671e-05]
+2023-02-26 12:50:57,662	32k	INFO	====> Epoch: 96
+2023-02-26 12:53:36,723	32k	INFO	Train Epoch: 97 [97%]
+2023-02-26 12:53:36,723	32k	INFO	[2.3909411430358887, 2.307910919189453, 10.894923210144043, 17.3150691986084, 0.68175208568573, 16000, 9.880709717466598e-05]
+2023-02-26 12:53:41,364	32k	INFO	Saving model and optimizer state at iteration 97 to ./logs\32k\G_16000.pth
+2023-02-26 12:53:59,201	32k	INFO	Saving model and optimizer state at iteration 97 to ./logs\32k\D_16000.pth
+2023-02-26 12:54:06,830	32k	INFO	====> Epoch: 97
+2023-02-26 12:56:49,437	32k	INFO	====> Epoch: 98
+2023-02-26 12:57:36,944	32k	INFO	Train Epoch: 99 [18%]
+2023-02-26 12:57:36,944	32k	INFO	[2.634997606277466, 2.167447090148926, 9.929041862487793, 16.28448486328125, 0.8011267781257629, 16200, 9.87823969442332e-05]
+2023-02-26 12:59:33,007	32k	INFO	====> Epoch: 99
+2023-02-26 13:00:50,543	32k	INFO	Train Epoch: 100 [39%]
+2023-02-26 13:00:50,543	32k	INFO	[2.3184642791748047, 2.705042839050293, 16.255216598510742, 21.745960235595703, 0.44556474685668945, 16400, 9.877004914461517e-05]
+2023-02-26 13:02:16,391	32k	INFO	====> Epoch: 100
+2023-02-26 13:04:03,758	32k	INFO	Train Epoch: 101 [61%]
+2023-02-26 13:04:03,759	32k	INFO	[2.477332830429077, 2.2263150215148926, 9.293753623962402, 14.126523971557617, 1.1971876621246338, 16600, 9.875770288847208e-05]
+2023-02-26 13:04:59,212	32k	INFO	====> Epoch: 101
+2023-02-26 13:07:16,685	32k	INFO	Train Epoch: 102 [82%]
+2023-02-26 13:07:16,685	32k	INFO	[2.2978484630584717, 2.2822859287261963, 16.321632385253906, 20.7629337310791, 1.3268964290618896, 16800, 9.874535817561101e-05]
+2023-02-26 13:07:42,165	32k	INFO	====> Epoch: 102
+2023-02-26 13:10:24,749	32k	INFO	====> Epoch: 103
+2023-02-26 13:10:50,748	32k	INFO	Train Epoch: 104 [3%]
+2023-02-26 13:10:50,748	32k	INFO	[2.371419906616211, 2.4400792121887207, 12.4196138381958, 21.362497329711914, 0.7677367925643921, 17000, 9.872067337896332e-05]
+2023-02-26 13:10:55,199	32k	INFO	Saving model and optimizer state at iteration 104 to ./logs\32k\G_17000.pth
+2023-02-26 13:11:13,185	32k	INFO	Saving model and optimizer state at iteration 104 to ./logs\32k\D_17000.pth
+2023-02-26 13:13:33,715	32k	INFO	====> Epoch: 104
+2023-02-26 13:14:29,696	32k	INFO	Train Epoch: 105 [24%]
+2023-02-26 13:14:29,696	32k	INFO	[2.47296142578125, 2.4107069969177246, 12.652009963989258, 18.860116958618164, 0.5747465491294861, 17200, 9.870833329479095e-05]
+2023-02-26 13:16:16,869	32k	INFO	====> Epoch: 105
+2023-02-26 13:17:42,916	32k	INFO	Train Epoch: 106 [45%]
+2023-02-26 13:17:42,916	32k	INFO	[2.304741859436035, 2.252957344055176, 9.988290786743164, 17.014446258544922, 1.0552763938903809, 17400, 9.86959947531291e-05]
+2023-02-26 13:18:59,953	32k	INFO	====> Epoch: 106
+2023-02-26 13:20:55,999	32k	INFO	Train Epoch: 107 [67%]
+2023-02-26 13:20:56,000	32k	INFO	[2.284235715866089, 2.448091506958008, 12.869209289550781, 20.055776596069336, 0.9019550681114197, 17600, 9.868365775378495e-05]
+2023-02-26 13:21:42,926	32k	INFO	====> Epoch: 107
+2023-02-26 13:24:09,043	32k	INFO	Train Epoch: 108 [88%]
+2023-02-26 13:24:09,043	32k	INFO	[2.475769281387329, 2.1433467864990234, 11.07569694519043, 18.09524917602539, 0.5900028347969055, 17800, 9.867132229656573e-05]
+2023-02-26 13:24:25,935	32k	INFO	====> Epoch: 108
+2023-02-26 13:27:08,654	32k	INFO	====> Epoch: 109
+2023-02-26 13:27:43,160	32k	INFO	Train Epoch: 110 [9%]
+2023-02-26 13:27:43,160	32k	INFO	[2.4269490242004395, 2.379713535308838, 11.117244720458984, 17.388996124267578, 1.439730167388916, 18000, 9.864665600773098e-05]
+2023-02-26 13:27:47,636	32k	INFO	Saving model and optimizer state at iteration 110 to ./logs\32k\G_18000.pth
+2023-02-26 13:28:04,718	32k	INFO	Saving model and optimizer state at iteration 110 to ./logs\32k\D_18000.pth
+2023-02-26 13:30:16,432	32k	INFO	====> Epoch: 110
+2023-02-26 13:31:20,894	32k	INFO	Train Epoch: 111 [30%]
+2023-02-26 13:31:20,895	32k	INFO	[2.3756492137908936, 2.4075100421905518, 10.187261581420898, 18.855302810668945, 1.052577257156372, 18200, 9.863432517573002e-05]
+2023-02-26 13:32:59,526	32k	INFO	====> Epoch: 111
+2023-02-26 13:34:34,102	32k	INFO	Train Epoch: 112 [52%]
+2023-02-26 13:34:34,102	32k	INFO	[2.535065174102783, 2.273414134979248, 10.668708801269531, 19.734350204467773, 0.91983962059021, 18400, 9.862199588508305e-05]
+2023-02-26 13:35:42,444	32k	INFO	====> Epoch: 112
+2023-02-26 13:37:59,802	32k	INFO	Train Epoch: 113 [73%]
+2023-02-26 13:37:59,803	32k	INFO	[2.4501099586486816, 2.217410087585449, 11.971563339233398, 20.161376953125, 0.8216803073883057, 18600, 9.86096681355974e-05]
+2023-02-26 13:38:38,263	32k	INFO	====> Epoch: 113
+2023-02-26 13:41:13,187	32k	INFO	Train Epoch: 114 [94%]
+2023-02-26 13:41:13,188	32k	INFO	[2.3596482276916504, 2.3115038871765137, 11.398310661315918, 20.521438598632812, 0.8498327136039734, 18800, 9.859734192708044e-05]
+2023-02-26 13:41:21,449	32k	INFO	====> Epoch: 114
+2023-02-26 13:44:03,918	32k	INFO	====> Epoch: 115
+2023-02-26 13:44:47,046	32k	INFO	Train Epoch: 116 [15%]
+2023-02-26 13:44:47,047	32k	INFO	[2.0652332305908203, 3.1315736770629883, 8.01175594329834, 14.535475730895996, 0.7651816606521606, 19000, 9.857269413218213e-05]
+2023-02-26 13:44:51,565	32k	INFO	Saving model and optimizer state at iteration 116 to ./logs\32k\G_19000.pth
+2023-02-26 13:45:10,729	32k	INFO	Saving model and optimizer state at iteration 116 to ./logs\32k\D_19000.pth
+2023-02-26 13:47:13,579	32k	INFO	====> Epoch: 116
+2023-02-26 13:48:26,856	32k	INFO	Train Epoch: 117 [36%]
+2023-02-26 13:48:26,856	32k	INFO	[2.108147621154785, 2.9401679039001465, 10.276931762695312, 16.358720779418945, 1.1584646701812744, 19200, 9.85603725454156e-05]
+2023-02-26 13:49:56,624	32k	INFO	====> Epoch: 117
+2023-02-26 13:51:40,008	32k	INFO	Train Epoch: 118 [58%]
+2023-02-26 13:51:40,009	32k	INFO	[2.5673112869262695, 2.034385919570923, 9.616512298583984, 16.208316802978516, 0.5776308178901672, 19400, 9.854805249884741e-05]
+2023-02-26 13:52:39,631	32k	INFO	====> Epoch: 118
+2023-02-26 13:54:52,831	32k	INFO	Train Epoch: 119 [79%]
+2023-02-26 13:54:52,831	32k	INFO	[2.3758647441864014, 2.9925012588500977, 11.676872253417969, 16.84213638305664, 0.8426787257194519, 19600, 9.853573399228505e-05]
+2023-02-26 13:55:22,466	32k	INFO	====> Epoch: 119
+2023-02-26 13:58:04,962	32k	INFO	====> Epoch: 120
+2023-02-26 13:58:26,712	32k	INFO	Train Epoch: 121 [0%]
+2023-02-26 13:58:26,712	32k	INFO	[2.3770370483398438, 2.334702491760254, 11.059645652770996, 18.461627960205078, 0.8800027370452881, 19800, 9.851110159840781e-05]
+2023-02-26 14:00:47,783	32k	INFO	====> Epoch: 121
+2023-02-26 14:01:39,407	32k	INFO	Train Epoch: 122 [21%]
+2023-02-26 14:01:39,408	32k	INFO	[2.527496814727783, 2.255011796951294, 11.402054786682129, 17.249414443969727, 0.4702906012535095, 20000, 9.8498787710708e-05]
+2023-02-26 14:01:43,901	32k	INFO	Saving model and optimizer state at iteration 122 to ./logs\32k\G_20000.pth
+2023-02-26 14:02:02,003	32k	INFO	Saving model and optimizer state at iteration 122 to ./logs\32k\D_20000.pth
+2023-02-26 14:03:56,814	32k	INFO	====> Epoch: 122
+2023-02-26 14:05:18,678	32k	INFO	Train Epoch: 123 [42%]
+2023-02-26 14:05:18,678	32k	INFO	[2.512394428253174, 2.2709600925445557, 11.919401168823242, 17.652254104614258, 0.645085871219635, 20200, 9.848647536224416e-05]
+2023-02-26 14:06:40,243	32k	INFO	====> Epoch: 123
+2023-02-26 14:08:31,954	32k	INFO	Train Epoch: 124 [64%]
+2023-02-26 14:08:31,955	32k	INFO	[2.643122434616089, 2.007068395614624, 6.659689426422119, 14.161267280578613, 0.931346595287323, 20400, 9.847416455282387e-05]
+2023-02-26 14:09:23,160	32k	INFO	====> Epoch: 124
+2023-02-26 14:11:44,973	32k	INFO	Train Epoch: 125 [85%]
+2023-02-26 14:11:44,974	32k	INFO	[2.2812883853912354, 2.3466286659240723, 10.443126678466797, 17.098127365112305, 0.8298570513725281, 20600, 9.846185528225477e-05]
+2023-02-26 14:12:06,190	32k	INFO	====> Epoch: 125
+2023-02-26 14:14:49,057	32k	INFO	====> Epoch: 126
+2023-02-26 14:15:19,377	32k	INFO	Train Epoch: 127 [6%]
+2023-02-26 14:15:19,378	32k	INFO	[2.2862539291381836, 2.4085965156555176, 8.173857688903809, 13.033564567565918, 1.2490079402923584, 20800, 9.84372413569007e-05]
+2023-02-26 14:17:32,296	32k	INFO	====> Epoch: 127
+2023-02-26 14:18:32,493	32k	INFO	Train Epoch: 128 [27%]
+2023-02-26 14:18:32,494	32k	INFO	[2.3605754375457764, 2.3576247692108154, 8.230725288391113, 16.209781646728516, 0.5764607191085815, 21000, 9.842493670173108e-05]
+2023-02-26 14:18:36,964	32k	INFO	Saving model and optimizer state at iteration 128 to ./logs\32k\G_21000.pth
+2023-02-26 14:18:56,081	32k	INFO	Saving model and optimizer state at iteration 128 to ./logs\32k\D_21000.pth
+2023-02-26 14:20:42,104	32k	INFO	====> Epoch: 128
+2023-02-26 14:22:12,423	32k	INFO	Train Epoch: 129 [48%]
+2023-02-26 14:22:12,423	32k	INFO	[2.4556076526641846, 2.319934844970703, 10.994032859802246, 17.579025268554688, 0.9810572862625122, 21200, 9.841263358464336e-05]
+2023-02-26 14:23:25,204	32k	INFO	====> Epoch: 129
+2023-02-26 14:25:25,430	32k	INFO	Train Epoch: 130 [70%]
+2023-02-26 14:25:25,430	32k	INFO	[2.3116416931152344, 2.5935959815979004, 12.18552303314209, 19.612600326538086, 0.09066768735647202, 21400, 9.840033200544528e-05]
+2023-02-26 14:26:07,943	32k	INFO	====> Epoch: 130
+2023-02-26 14:28:38,322	32k	INFO	Train Epoch: 131 [91%]
+2023-02-26 14:28:38,322	32k	INFO	[2.417170763015747, 2.866428852081299, 10.004213333129883, 21.375431060791016, 0.7538483142852783, 21600, 9.838803196394459e-05]
+2023-02-26 14:28:50,906	32k	INFO	====> Epoch: 131
+2023-02-26 14:31:33,676	32k	INFO	====> Epoch: 132
+2023-02-26 14:32:12,439	32k	INFO	Train Epoch: 133 [12%]
+2023-02-26 14:32:12,439	32k	INFO	[2.4903366565704346, 2.381277322769165, 8.76326847076416, 17.031940460205078, 0.6056929230690002, 21800, 9.836343649326659e-05]
+2023-02-26 14:34:16,420	32k	INFO	====> Epoch: 133
+2023-02-26 14:35:25,160	32k	INFO	Train Epoch: 134 [33%]
+2023-02-26 14:35:25,161	32k	INFO	[2.4677324295043945, 2.5568089485168457, 9.496826171875, 19.7178955078125, 0.6253650784492493, 22000, 9.835114106370493e-05]
+2023-02-26 14:35:29,650	32k	INFO	Saving model and optimizer state at iteration 134 to ./logs\32k\G_22000.pth
+2023-02-26 14:35:46,991	32k	INFO	Saving model and optimizer state at iteration 134 to ./logs\32k\D_22000.pth
+2023-02-26 14:37:24,621	32k	INFO	====> Epoch: 134
+2023-02-26 14:39:03,827	32k	INFO	Train Epoch: 135 [55%]
+2023-02-26 14:39:03,828	32k	INFO	[2.3463804721832275, 2.363849639892578, 14.297788619995117, 20.66683006286621, 0.6891955137252808, 22200, 9.833884717107196e-05]
+2023-02-26 14:40:08,153	32k	INFO	====> Epoch: 135
+2023-02-26 14:42:17,146	32k	INFO	Train Epoch: 136 [76%]
+2023-02-26 14:42:17,146	32k	INFO	[2.5203256607055664, 2.283804416656494, 11.94053840637207, 18.11589241027832, 1.292447805404663, 22400, 9.832655481517557e-05]
+2023-02-26 14:42:51,186	32k	INFO	====> Epoch: 136
+2023-02-26 14:45:30,393	32k	INFO	Train Epoch: 137 [97%]
+2023-02-26 14:45:30,393	32k	INFO	[2.601602077484131, 2.1686148643493652, 9.941407203674316, 15.776628494262695, 0.6523029208183289, 22600, 9.831426399582366e-05]
+2023-02-26 14:45:34,385	32k	INFO	====> Epoch: 137
+2023-02-26 14:48:17,181	32k	INFO	====> Epoch: 138
+2023-02-26 14:49:04,561	32k	INFO	Train Epoch: 139 [18%]
+2023-02-26 14:49:04,561	32k	INFO	[2.4520339965820312, 2.3309485912323, 13.66077995300293, 19.651887893676758, 0.536736011505127, 22800, 9.828968696598508e-05]
+2023-02-26 14:51:00,322	32k	INFO	====> Epoch: 139
+2023-02-26 14:52:17,661	32k	INFO	Train Epoch: 140 [39%]
+2023-02-26 14:52:17,662	32k	INFO	[2.4809441566467285, 2.5217180252075195, 12.526641845703125, 21.054609298706055, 1.3811713457107544, 23000, 9.827740075511432e-05]
+2023-02-26 14:52:22,135	32k	INFO	Saving model and optimizer state at iteration 140 to ./logs\32k\G_23000.pth
+2023-02-26 14:52:39,142	32k	INFO	Saving model and optimizer state at iteration 140 to ./logs\32k\D_23000.pth
+2023-02-26 14:54:08,027	32k	INFO	====> Epoch: 140
+2023-02-26 14:55:55,688	32k	INFO	Train Epoch: 141 [61%]
+2023-02-26 14:55:55,688	32k	INFO	[2.57208514213562, 2.1723203659057617, 5.556727886199951, 11.347487449645996, 0.6554768085479736, 23200, 9.826511608001993e-05]
+2023-02-26 14:56:51,095	32k	INFO	====> Epoch: 141
+2023-02-26 14:59:08,681	32k	INFO	Train Epoch: 142 [82%]
+2023-02-26 14:59:08,681	32k	INFO	[2.2383546829223633, 2.4536244869232178, 12.622249603271484, 18.40056610107422, 0.4919876456260681, 23400, 9.825283294050992e-05]
+2023-02-26 14:59:34,044	32k	INFO	====> Epoch: 142
+2023-02-26 15:02:16,450	32k	INFO	====> Epoch: 143
+2023-02-26 15:02:42,500	32k	INFO	Train Epoch: 144 [3%]
+2023-02-26 15:02:42,501	32k	INFO	[2.2660953998565674, 2.6160569190979004, 12.693144798278809, 20.315467834472656, 0.5867981314659119, 23600, 9.822827126747529e-05]
+2023-02-26 15:04:59,831	32k	INFO	====> Epoch: 144
+2023-02-26 15:05:55,876	32k	INFO	Train Epoch: 145 [24%]
+2023-02-26 15:05:55,876	32k	INFO	[2.4133129119873047, 2.3682570457458496, 12.988896369934082, 19.82603645324707, 0.8757506012916565, 23800, 9.821599273356685e-05]
+2023-02-26 15:07:42,996	32k	INFO	====> Epoch: 145
+2023-02-26 15:09:09,009	32k	INFO	Train Epoch: 146 [45%]
+2023-02-26 15:09:09,010	32k	INFO	[2.371466875076294, 2.411593198776245, 11.293488502502441, 16.904762268066406, 0.918782651424408, 24000, 9.820371573447515e-05]
+2023-02-26 15:09:13,478	32k	INFO	Saving model and optimizer state at iteration 146 to ./logs\32k\G_24000.pth
+2023-02-26 15:09:32,722	32k	INFO	Saving model and optimizer state at iteration 146 to ./logs\32k\D_24000.pth
+2023-02-26 15:10:52,999	32k	INFO	====> Epoch: 146
+2023-02-26 15:12:49,426	32k	INFO	Train Epoch: 147 [67%]
+2023-02-26 15:12:49,426	32k	INFO	[2.5269036293029785, 2.449225664138794, 11.160113334655762, 19.884809494018555, 0.6317355632781982, 24200, 9.819144027000834e-05]
+2023-02-26 15:13:36,511	32k	INFO	====> Epoch: 147
+2023-02-26 15:16:02,727	32k	INFO	Train Epoch: 148 [88%]
+2023-02-26 15:16:02,728	32k	INFO	[2.286109209060669, 2.792794942855835, 8.917141914367676, 14.302690505981445, 0.7620863318443298, 24400, 9.817916633997459e-05]
+2023-02-26 15:16:19,590	32k	INFO	====> Epoch: 148
+2023-02-26 15:19:02,564	32k	INFO	====> Epoch: 149
+2023-02-26 15:19:37,203	32k	INFO	Train Epoch: 150 [9%]
+2023-02-26 15:19:37,203	32k	INFO	[2.229402542114258, 2.738642692565918, 11.272886276245117, 16.66368293762207, 1.1462740898132324, 24600, 9.815462308243906e-05]
+2023-02-26 15:21:45,802	32k	INFO	====> Epoch: 150
+2023-02-26 15:22:50,583	32k	INFO	Train Epoch: 151 [30%]
+2023-02-26 15:22:50,584	32k	INFO	[2.3389620780944824, 2.6368374824523926, 10.70553207397461, 18.062721252441406, 1.1679829359054565, 24800, 9.814235375455375e-05]
+2023-02-26 15:24:29,362	32k	INFO	====> Epoch: 151
+2023-02-26 15:26:04,092	32k	INFO	Train Epoch: 152 [52%]
+2023-02-26 15:26:04,092	32k	INFO	[2.5250439643859863, 2.5258371829986572, 9.597591400146484, 18.75698471069336, 0.38917434215545654, 25000, 9.813008596033443e-05]
+2023-02-26 15:26:08,573	32k	INFO	Saving model and optimizer state at iteration 152 to ./logs\32k\G_25000.pth
+2023-02-26 15:26:25,818	32k	INFO	Saving model and optimizer state at iteration 152 to ./logs\32k\D_25000.pth
+2023-02-26 15:27:37,202	32k	INFO	====> Epoch: 152
+2023-02-26 15:29:41,926	32k	INFO	Train Epoch: 153 [73%]
+2023-02-26 15:29:41,927	32k	INFO	[2.3494515419006348, 2.425994873046875, 12.536174774169922, 20.15695571899414, 0.5543274283409119, 25200, 9.811781969958938e-05]
+2023-02-26 15:30:20,303	32k	INFO	====> Epoch: 153
+2023-02-26 15:32:55,039	32k	INFO	Train Epoch: 154 [94%]
+2023-02-26 15:32:55,039	32k	INFO	[2.4024767875671387, 2.125033140182495, 10.49553394317627, 16.836292266845703, 0.6470404267311096, 25400, 9.810555497212693e-05]
+2023-02-26 15:33:03,303	32k	INFO	====> Epoch: 154
+2023-02-26 15:35:46,178	32k	INFO	====> Epoch: 155
+2023-02-26 15:36:29,478	32k	INFO	Train Epoch: 156 [15%]
+2023-02-26 15:36:29,478	32k	INFO	[2.6614341735839844, 2.014702081680298, 8.740072250366211, 12.970017433166504, 0.6980465650558472, 25600, 9.808103011628319e-05]
+2023-02-26 15:38:29,800	32k	INFO	====> Epoch: 156
+2023-02-26 15:39:43,051	32k	INFO	Train Epoch: 157 [36%]
+2023-02-26 15:39:43,051	32k	INFO	[2.654205560684204, 1.9615615606307983, 10.93551254272461, 16.712379455566406, 0.4804637134075165, 25800, 9.806876998751865e-05]
+2023-02-26 15:41:13,122	32k	INFO	====> Epoch: 157
+2023-02-26 15:42:56,289	32k	INFO	Train Epoch: 158 [58%]
+2023-02-26 15:42:56,289	32k	INFO	[2.6511435508728027, 2.1100852489471436, 8.584171295166016, 15.892630577087402, 0.90334153175354, 26000, 9.80565113912702e-05]
+2023-02-26 15:43:00,797	32k	INFO	Saving model and optimizer state at iteration 158 to ./logs\32k\G_26000.pth
+2023-02-26 15:43:20,004	32k	INFO	Saving model and optimizer state at iteration 158 to ./logs\32k\D_26000.pth
+2023-02-26 15:44:23,290	32k	INFO	====> Epoch: 158
+2023-02-26 15:46:36,868	32k	INFO	Train Epoch: 159 [79%]
+2023-02-26 15:46:36,869	32k	INFO	[2.527649402618408, 2.3790462017059326, 9.914752960205078, 17.783714294433594, 0.7191269397735596, 26200, 9.804425432734629e-05]
+2023-02-26 15:47:06,754	32k	INFO	====> Epoch: 159
+2023-02-26 15:49:49,795	32k	INFO	====> Epoch: 160
+2023-02-26 15:50:11,611	32k	INFO	Train Epoch: 161 [0%]
+2023-02-26 15:50:11,611	32k	INFO	[2.4440112113952637, 2.4401893615722656, 11.61741828918457, 17.544946670532227, 0.9068783521652222, 26400, 9.801974479570593e-05]
+2023-02-26 15:52:33,511	32k	INFO	====> Epoch: 161
+2023-02-26 15:53:25,221	32k	INFO	Train Epoch: 162 [21%]
+2023-02-26 15:53:25,221	32k	INFO	[2.300156593322754, 2.5606746673583984, 11.57729434967041, 19.577245712280273, 0.6100308895111084, 26600, 9.800749232760646e-05]
+2023-02-26 15:55:16,561	32k	INFO	====> Epoch: 162
+2023-02-26 15:56:38,386	32k	INFO	Train Epoch: 163 [42%]
+2023-02-26 15:56:38,387	32k	INFO	[2.491887331008911, 2.174567937850952, 8.945231437683105, 16.8068790435791, 0.6337096095085144, 26800, 9.79952413910655e-05]
+2023-02-26 15:57:59,818	32k	INFO	====> Epoch: 163
+2023-02-26 15:59:51,615	32k	INFO	Train Epoch: 164 [64%]
+2023-02-26 15:59:51,615	32k	INFO	[2.4709670543670654, 2.4039604663848877, 10.360793113708496, 15.725382804870605, 0.9451103210449219, 27000, 9.798299198589162e-05]
+2023-02-26 15:59:56,072	32k	INFO	Saving model and optimizer state at iteration 164 to ./logs\32k\G_27000.pth
+2023-02-26 16:00:12,933	32k	INFO	Saving model and optimizer state at iteration 164 to ./logs\32k\D_27000.pth
+2023-02-26 16:01:07,609	32k	INFO	====> Epoch: 164
+2023-02-26 16:03:29,754	32k	INFO	Train Epoch: 165 [85%]
+2023-02-26 16:03:29,754	32k	INFO	[2.4107818603515625, 2.2964704036712646, 10.976929664611816, 18.840293884277344, 0.8151223063468933, 27200, 9.797074411189339e-05]
+2023-02-26 16:03:50,996	32k	INFO	====> Epoch: 165
+2023-02-26 16:06:33,906	32k	INFO	====> Epoch: 166
+2023-02-26 16:07:04,238	32k	INFO	Train Epoch: 167 [6%]
+2023-02-26 16:07:04,239	32k	INFO	[2.4089515209198, 2.457214593887329, 9.272985458374023, 17.213451385498047, 0.820664644241333, 27400, 9.794625295665828e-05]
+2023-02-26 16:09:17,110	32k	INFO	====> Epoch: 167
+2023-02-26 16:10:17,435	32k	INFO	Train Epoch: 168 [27%]
+2023-02-26 16:10:17,436	32k	INFO	[2.2713615894317627, 2.1985321044921875, 11.777606010437012, 20.058086395263672, 0.7406303882598877, 27600, 9.79340096750387e-05]
+2023-02-26 16:12:00,339	32k	INFO	====> Epoch: 168
+2023-02-26 16:13:30,855	32k	INFO	Train Epoch: 169 [48%]
+2023-02-26 16:13:30,855	32k	INFO	[2.4570372104644775, 2.2436656951904297, 11.803679466247559, 17.833927154541016, 0.6307259798049927, 27800, 9.792176792382932e-05]
+2023-02-26 16:14:43,793	32k	INFO	====> Epoch: 169
+2023-02-26 16:16:43,976	32k	INFO	Train Epoch: 170 [70%]
+2023-02-26 16:16:43,976	32k	INFO	[2.246384382247925, 2.4739303588867188, 15.200418472290039, 21.546630859375, 0.6328362226486206, 28000, 9.790952770283884e-05]
+2023-02-26 16:16:48,430	32k	INFO	Saving model and optimizer state at iteration 170 to ./logs\32k\G_28000.pth
+2023-02-26 16:17:01,674	32k	INFO	Saving model and optimizer state at iteration 170 to ./logs\32k\D_28000.pth
+2023-02-26 16:17:47,558	32k	INFO	====> Epoch: 170
+2023-02-26 16:20:18,059	32k	INFO	Train Epoch: 171 [91%]
+2023-02-26 16:20:18,059	32k	INFO	[2.306701898574829, 2.6621859073638916, 10.908252716064453, 17.372089385986328, 0.784980297088623, 28200, 9.789728901187598e-05]
+2023-02-26 16:20:30,684	32k	INFO	====> Epoch: 171
+2023-02-26 16:23:13,289	32k	INFO	====> Epoch: 172
+2023-02-26 16:23:52,145	32k	INFO	Train Epoch: 173 [12%]
+2023-02-26 16:23:52,145	32k	INFO	[2.399289131164551, 2.3199777603149414, 7.142980098724365, 13.057271003723145, 0.8620398640632629, 28400, 9.787281621926815e-05]
+2023-02-26 16:25:56,218	32k	INFO	====> Epoch: 173
+2023-02-26 16:27:05,005	32k	INFO	Train Epoch: 174 [33%]
+2023-02-26 16:27:05,005	32k	INFO	[2.470820188522339, 2.4600534439086914, 6.626948356628418, 13.11660385131836, 0.841496467590332, 28600, 9.786058211724074e-05]
+2023-02-26 16:28:39,432	32k	INFO	====> Epoch: 174
+2023-02-26 16:30:18,516	32k	INFO	Train Epoch: 175 [55%]
+2023-02-26 16:30:18,516	32k	INFO	[2.4205260276794434, 2.25736927986145, 13.192204475402832, 19.85516357421875, 0.7485554218292236, 28800, 9.784834954447608e-05]
+2023-02-26 16:31:22,767	32k	INFO	====> Epoch: 175
+2023-02-26 16:33:31,581	32k	INFO	Train Epoch: 176 [76%]
+2023-02-26 16:33:31,582	32k	INFO	[2.455970287322998, 2.2141826152801514, 13.451642036437988, 19.803707122802734, 0.9468473792076111, 29000, 9.783611850078301e-05]
+2023-02-26 16:33:36,138	32k	INFO	Saving model and optimizer state at iteration 176 to ./logs\32k\G_29000.pth
+2023-02-26 16:33:53,144	32k	INFO	Saving model and optimizer state at iteration 176 to ./logs\32k\D_29000.pth
+2023-02-26 16:34:30,652	32k	INFO	====> Epoch: 176
+2023-02-26 16:37:10,010	32k	INFO	Train Epoch: 177 [97%]
+2023-02-26 16:37:10,011	32k	INFO	[2.232689380645752, 2.6161293983459473, 10.906001091003418, 17.958105087280273, 0.6369590163230896, 29200, 9.782388898597041e-05]
+2023-02-26 16:37:13,995	32k	INFO	====> Epoch: 177
+2023-02-26 16:39:57,216	32k	INFO	====> Epoch: 178
+2023-02-26 16:40:44,663	32k	INFO	Train Epoch: 179 [18%]
+2023-02-26 16:40:44,664	32k	INFO	[2.267847776412964, 2.723783493041992, 14.152230262756348, 18.365135192871094, 1.0862221717834473, 29400, 9.779943454222217e-05]
+2023-02-26 16:42:40,681	32k	INFO	====> Epoch: 179
+2023-02-26 16:43:58,308	32k	INFO	Train Epoch: 180 [39%]
+2023-02-26 16:43:58,308	32k	INFO	[2.529902696609497, 2.3272926807403564, 9.528871536254883, 18.957096099853516, 0.9033053517341614, 29600, 9.778720961290439e-05]
+2023-02-26 16:45:24,000	32k	INFO	====> Epoch: 180
+2023-02-26 16:47:11,592	32k	INFO	Train Epoch: 181 [61%]
+2023-02-26 16:47:11,593	32k	INFO	[2.2471132278442383, 2.5182602405548096, 11.21172046661377, 16.198549270629883, 0.6432769298553467, 29800, 9.777498621170277e-05]
+2023-02-26 16:48:07,243	32k	INFO	====> Epoch: 181
+2023-02-26 16:50:24,659	32k	INFO	Train Epoch: 182 [82%]
+2023-02-26 16:50:24,659	32k	INFO	[2.3189096450805664, 2.2408602237701416, 11.619179725646973, 19.898473739624023, 0.5813133716583252, 30000, 9.776276433842631e-05]
+2023-02-26 16:50:29,138	32k	INFO	Saving model and optimizer state at iteration 182 to ./logs\32k\G_30000.pth
+2023-02-26 16:50:46,475	32k	INFO	Saving model and optimizer state at iteration 182 to ./logs\32k\D_30000.pth
+2023-02-26 16:51:15,396	32k	INFO	====> Epoch: 182
+2023-02-26 16:53:58,501	32k	INFO	====> Epoch: 183
+2023-02-26 16:54:24,532	32k	INFO	Train Epoch: 184 [3%]
+2023-02-26 16:54:24,532	32k	INFO	[2.3636772632598877, 2.432774782180786, 12.960881233215332, 19.998132705688477, 0.9693511128425598, 30200, 9.773832517488488e-05]
+2023-02-26 16:56:41,437	32k	INFO	====> Epoch: 184
+2023-02-26 16:57:37,255	32k	INFO	Train Epoch: 185 [24%]
+2023-02-26 16:57:37,255	32k	INFO	[2.5370290279388428, 2.19403338432312, 11.489301681518555, 18.055042266845703, 0.938399076461792, 30400, 9.772610788423802e-05]
+2023-02-26 16:59:24,316	32k	INFO	====> Epoch: 185
+2023-02-26 17:00:50,418	32k	INFO	Train Epoch: 186 [45%]
+2023-02-26 17:00:50,418	32k	INFO	[2.288398265838623, 2.4643843173980713, 13.293804168701172, 19.007169723510742, 0.821979820728302, 30600, 9.771389212075249e-05]
+2023-02-26 17:02:07,421	32k	INFO	====> Epoch: 186
+2023-02-26 17:04:03,697	32k	INFO	Train Epoch: 187 [67%]
+2023-02-26 17:04:03,697	32k	INFO	[2.5506398677825928, 2.305884838104248, 9.674799919128418, 17.26383399963379, 0.8924499154090881, 30800, 9.77016778842374e-05]
+2023-02-26 17:04:50,640	32k	INFO	====> Epoch: 187
+2023-02-26 17:07:16,910	32k	INFO	Train Epoch: 188 [88%]
+2023-02-26 17:07:16,911	32k	INFO	[2.2533488273620605, 2.5775458812713623, 9.142365455627441, 14.616179466247559, 0.9205642342567444, 31000, 9.768946517450186e-05]
+2023-02-26 17:07:21,445	32k	INFO	Saving model and optimizer state at iteration 188 to ./logs\32k\G_31000.pth
+2023-02-26 17:07:36,357	32k	INFO	Saving model and optimizer state at iteration 188 to ./logs\32k\D_31000.pth
+2023-02-26 17:07:56,519	32k	INFO	====> Epoch: 188
+2023-02-26 17:10:39,474	32k	INFO	====> Epoch: 189
+2023-02-26 17:11:14,118	32k	INFO	Train Epoch: 190 [9%]
+2023-02-26 17:11:14,118	32k	INFO	[2.4963176250457764, 2.191936492919922, 8.220184326171875, 15.837531089782715, 0.7903323173522949, 31200, 9.766504433460612e-05]
+2023-02-26 17:13:22,812	32k	INFO	====> Epoch: 190
+2023-02-26 17:14:27,380	32k	INFO	Train Epoch: 191 [30%]
+2023-02-26 17:14:27,381	32k	INFO	[2.4663021564483643, 2.284228801727295, 11.195096969604492, 19.334308624267578, 0.8231672644615173, 31400, 9.765283620406429e-05]
+2023-02-26 17:16:05,903	32k	INFO	====> Epoch: 191
+2023-02-26 17:17:40,428	32k	INFO	Train Epoch: 192 [52%]
+2023-02-26 17:17:40,428	32k	INFO	[2.4471681118011475, 2.4072704315185547, 8.412674903869629, 18.166622161865234, 0.9922705888748169, 31600, 9.764062959953878e-05]
+2023-02-26 17:18:49,074	32k	INFO	====> Epoch: 192
+2023-02-26 17:20:54,252	32k	INFO	Train Epoch: 193 [73%]
+2023-02-26 17:20:54,253	32k	INFO	[2.1911771297454834, 2.7126452922821045, 11.184356689453125, 17.750993728637695, 1.0288227796554565, 31800, 9.762842452083883e-05]
+2023-02-26 17:21:32,780	32k	INFO	====> Epoch: 193
+2023-02-26 17:24:07,741	32k	INFO	Train Epoch: 194 [94%]
+2023-02-26 17:24:07,742	32k	INFO	[2.3111774921417236, 2.240935802459717, 11.050326347351074, 20.342138290405273, 0.5650017857551575, 32000, 9.761622096777372e-05]
+2023-02-26 17:24:12,415	32k	INFO	Saving model and optimizer state at iteration 194 to ./logs\32k\G_32000.pth
+2023-02-26 17:24:29,104	32k	INFO	Saving model and optimizer state at iteration 194 to ./logs\32k\D_32000.pth
+2023-02-26 17:24:41,097	32k	INFO	====> Epoch: 194
+2023-02-26 17:27:23,969	32k	INFO	====> Epoch: 195
+2023-02-26 17:28:07,238	32k	INFO	Train Epoch: 196 [15%]
+2023-02-26 17:28:07,239	32k	INFO	[1.9948863983154297, 3.002936363220215, 11.8908052444458, 17.03791618347168, 0.7017788290977478, 32200, 9.759181843778522e-05]
+2023-02-26 17:30:07,220	32k	INFO	====> Epoch: 196
+2023-02-26 17:31:20,166	32k	INFO	Train Epoch: 197 [36%]
+2023-02-26 17:31:20,167	32k	INFO	[2.5854690074920654, 2.1435956954956055, 7.690774440765381, 17.148244857788086, 0.5889198780059814, 32400, 9.757961946048049e-05]
+2023-02-26 17:32:50,210	32k	INFO	====> Epoch: 197
+2023-02-26 17:34:33,444	32k	INFO	Train Epoch: 198 [58%]
+2023-02-26 17:34:33,444	32k	INFO	[2.352189302444458, 2.4562466144561768, 9.4241304397583, 17.52354621887207, 0.9340884685516357, 32600, 9.756742200804793e-05]
+2023-02-26 17:35:33,194	32k	INFO	====> Epoch: 198
+2023-02-26 17:37:46,492	32k	INFO	Train Epoch: 199 [79%]
+2023-02-26 17:37:46,493	32k	INFO	[2.4146697521209717, 2.7238364219665527, 12.723920822143555, 18.988252639770508, 0.7106491923332214, 32800, 9.755522608029692e-05]
+2023-02-26 17:38:16,258	32k	INFO	====> Epoch: 199
+2023-02-26 17:40:58,717	32k	INFO	====> Epoch: 200
+2023-02-26 17:41:20,503	32k	INFO	Train Epoch: 201 [0%]
+2023-02-26 17:41:20,503	32k	INFO	[2.367798089981079, 2.7577104568481445, 10.98935317993164, 17.85304832458496, 0.918219268321991, 33000, 9.753083879807726e-05]
+2023-02-26 17:41:24,949	32k	INFO	Saving model and optimizer state at iteration 201 to ./logs\32k\G_33000.pth
+2023-02-26 17:41:44,987	32k	INFO	Saving model and optimizer state at iteration 201 to ./logs\32k\D_33000.pth
+2023-02-26 17:44:09,525	32k	INFO	====> Epoch: 201
+2023-02-26 17:45:01,443	32k	INFO	Train Epoch: 202 [21%]
+2023-02-26 17:45:01,444	32k	INFO	[2.361729145050049, 2.3721957206726074, 9.747944831848145, 14.154775619506836, 0.863827109336853, 33200, 9.75186474432275e-05]
+2023-02-26 17:46:53,304	32k	INFO	====> Epoch: 202
+2023-02-26 17:48:15,322	32k	INFO	Train Epoch: 203 [42%]
+2023-02-26 17:48:15,323	32k	INFO	[2.4549036026000977, 2.087249279022217, 9.122322082519531, 14.459492683410645, 0.8657273054122925, 33400, 9.750645761229709e-05]
+2023-02-26 17:49:36,813	32k	INFO	====> Epoch: 203
+2023-02-26 17:51:28,792	32k	INFO	Train Epoch: 204 [64%]
+2023-02-26 17:51:28,793	32k	INFO	[2.574124813079834, 2.3560216426849365, 10.238191604614258, 17.874080657958984, 0.7011803388595581, 33600, 9.749426930509556e-05]
+2023-02-26 17:52:20,099	32k	INFO	====> Epoch: 204
+2023-02-26 17:54:41,919	32k	INFO	Train Epoch: 205 [85%]
+2023-02-26 17:54:41,919	32k	INFO	[2.441328763961792, 2.4306070804595947, 11.29406452178955, 17.06692123413086, 0.48038169741630554, 33800, 9.748208252143241e-05]
+2023-02-26 17:55:03,141	32k	INFO	====> Epoch: 205
+2023-02-26 17:57:45,959	32k	INFO	====> Epoch: 206
+2023-02-26 17:58:16,204	32k	INFO	Train Epoch: 207 [6%]
+2023-02-26 17:58:16,204	32k	INFO	[2.772115468978882, 2.026067018508911, 7.555477142333984, 12.804871559143066, 0.48970046639442444, 34000, 9.745771352395957e-05]
+2023-02-26 17:58:20,721	32k	INFO	Saving model and optimizer state at iteration 207 to ./logs\32k\G_34000.pth
+2023-02-26 17:58:38,922	32k	INFO	Saving model and optimizer state at iteration 207 to ./logs\32k\D_34000.pth
+2023-02-26 18:00:55,455	32k	INFO	====> Epoch: 207
+2023-02-26 18:01:56,077	32k	INFO	Train Epoch: 208 [27%]
+2023-02-26 18:01:56,077	32k	INFO	[2.3201816082000732, 2.404618263244629, 13.214925765991211, 19.893857955932617, 0.8915579915046692, 34200, 9.744553130976908e-05]
+2023-02-26 18:03:39,028	32k	INFO	====> Epoch: 208
+2023-02-26 18:05:09,684	32k	INFO	Train Epoch: 209 [48%]
+2023-02-26 18:05:09,685	32k	INFO	[2.543070077896118, 2.1961042881011963, 9.725593566894531, 14.015393257141113, 0.5515499711036682, 34400, 9.743335061835535e-05]
+2023-02-26 18:06:22,420	32k	INFO	====> Epoch: 209
+2023-02-26 18:08:22,834	32k	INFO	Train Epoch: 210 [70%]
+2023-02-26 18:08:22,835	32k	INFO	[2.291600465774536, 2.7387681007385254, 11.23803424835205, 18.91277313232422, 0.5562854409217834, 34600, 9.742117144952805e-05]
+2023-02-26 18:09:05,526	32k	INFO	====> Epoch: 210
+2023-02-26 18:11:36,675	32k	INFO	Train Epoch: 211 [91%]
+2023-02-26 18:11:36,676	32k	INFO	[2.4361047744750977, 2.432372808456421, 6.777080535888672, 13.665382385253906, 0.6072559356689453, 34800, 9.740899380309685e-05]
+2023-02-26 18:11:49,390	32k	INFO	====> Epoch: 211
+2023-02-26 18:14:33,046	32k	INFO	====> Epoch: 212
+2023-02-26 18:15:12,040	32k	INFO	Train Epoch: 213 [12%]
+2023-02-26 18:15:12,040	32k	INFO	[2.706439733505249, 1.891126036643982, 7.307193279266357, 14.386757850646973, 0.69676274061203, 35000, 9.73846430766616e-05]
+2023-02-26 18:15:16,522	32k	INFO	Saving model and optimizer state at iteration 213 to ./logs\32k\G_35000.pth
+2023-02-26 18:15:32,644	32k	INFO	Saving model and optimizer state at iteration 213 to ./logs\32k\D_35000.pth
+2023-02-26 18:17:40,257	32k	INFO	====> Epoch: 213
+2023-02-26 18:18:49,631	32k	INFO	Train Epoch: 214 [33%]
+2023-02-26 18:18:49,632	32k	INFO	[2.469897747039795, 2.5583174228668213, 10.134647369384766, 18.64297866821289, 0.6196038722991943, 35200, 9.7372469996277e-05]
+2023-02-26 18:20:23,825	32k	INFO	====> Epoch: 214

32k-saika/D_12000.pth

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+size 561098185

32k-saika/D_15000.pth

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+size 561098185

32k-saika/D_6000.pth

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+size 561098185

32k-saika/G_12000.pth

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+size 699505437

32k-saika/G_15000.pth

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+size 699505437

32k-saika/G_6000.pth

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+version https://git-lfs.github.com/spec/v1
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+size 699505437

32k-saika/config.json

@@ -0,0 +1,90 @@
+{
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 1000,
+    "seed": 1234,
+    "epochs": 10000,
+    "learning_rate": 0.0001,
+    "betas": [
+      0.8,
+      0.99
+    ],
+    "eps": 1e-09,
+    "batch_size": 5,
+    "fp16_run": false,
+    "lr_decay": 0.999875,
+    "segment_size": 17920,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "use_sr": true,
+    "max_speclen": 384,
+    "port": "8001"
+  },
+  "data": {
+    "training_files": "filelists/train.txt",
+    "validation_files": "filelists/val.txt",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 32000,
+    "filter_length": 1280,
+    "hop_length": 320,
+    "win_length": 1280,
+    "n_mel_channels": 80,
+    "mel_fmin": 0.0,
+    "mel_fmax": null
+  },
+  "model": {
+    "inter_channels": 192,
+    "hidden_channels": 192,
+    "filter_channels": 768,
+    "n_heads": 2,
+    "n_layers": 6,
+    "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": [
+      10,
+      8,
+      2,
+      2
+    ],
+    "upsample_initial_channel": 512,
+    "upsample_kernel_sizes": [
+      16,
+      16,
+      4,
+      4
+    ],
+    "n_layers_q": 3,
+    "use_spectral_norm": false,
+    "gin_channels": 256,
+    "ssl_dim": 256,
+    "n_speakers": 2
+  },
+  "spk": {
+    "saika": 0
+  }
+}

32k-saika/train.log

@@ -0,0 +1,362 @@
+2023-02-22 14:12:56,950	32k	INFO	{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, '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': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'saika': 0}, 'model_dir': './logs\\32k'}
+2023-02-22 14:12:56,950	32k	WARNING	K:\AI\so-vits-svc-32k is not a git repository, therefore hash value comparison will be ignored.
+2023-02-22 14:13:01,617	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
+2023-02-22 14:13:02,013	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
+2023-02-22 14:13:28,354	32k	INFO	Train Epoch: 1 [0%]
+2023-02-22 14:13:28,355	32k	INFO	[3.187079668045044, 3.543747663497925, 12.749074935913086, 35.17381286621094, 6.83956241607666, 0, 0.0001]
+2023-02-22 14:13:34,228	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
+2023-02-22 14:13:52,172	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
+2023-02-22 14:15:03,077	32k	INFO	====> Epoch: 1
+2023-02-22 14:16:31,043	32k	INFO	====> Epoch: 2
+2023-02-22 14:17:26,851	32k	INFO	Train Epoch: 3 [50%]
+2023-02-22 14:17:26,851	32k	INFO	[2.488687515258789, 2.5710129737854004, 14.215274810791016, 26.32855796813965, 1.4047647714614868, 200, 9.99750015625e-05]
+2023-02-22 14:17:59,730	32k	INFO	====> Epoch: 3
+2023-02-22 14:19:27,494	32k	INFO	====> Epoch: 4
+2023-02-22 14:20:55,315	32k	INFO	====> Epoch: 5
+2023-02-22 14:21:17,292	32k	INFO	Train Epoch: 6 [0%]
+2023-02-22 14:21:17,292	32k	INFO	[2.2817749977111816, 2.477022171020508, 12.80789852142334, 22.15078353881836, 1.1265417337417603, 400, 9.993751562304699e-05]
+2023-02-22 14:32:12,662	32k	INFO	{'train': {'log_interval': 200, 'eval_interval': 1000, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 5, 'fp16_run': False, 'lr_decay': 0.999875, 'segment_size': 17920, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 384, 'port': '8001'}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_length': 1280, 'hop_length': 320, 'win_length': 1280, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, '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': [10, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 2}, 'spk': {'saika': 0}, 'model_dir': './logs\\32k'}
+2023-02-22 14:32:12,663	32k	WARNING	K:\AI\so-vits-svc-32k is not a git repository, therefore hash value comparison will be ignored.
+2023-02-22 14:32:17,462	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
+2023-02-22 14:32:17,863	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
+2023-02-22 14:32:43,402	32k	INFO	Train Epoch: 1 [0%]
+2023-02-22 14:32:43,402	32k	INFO	[3.086385726928711, 3.1004512310028076, 11.565768241882324, 32.38859558105469, 5.992624759674072, 0, 0.0001]
+2023-02-22 14:32:49,281	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
+2023-02-22 14:33:08,839	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
+2023-02-22 14:34:22,487	32k	INFO	====> Epoch: 1
+2023-02-22 14:35:53,637	32k	INFO	====> Epoch: 2
+2023-02-22 14:36:21,152	32k	INFO	Train Epoch: 3 [8%]
+2023-02-22 14:36:21,152	32k	INFO	[2.3054869174957275, 2.327169418334961, 12.3760347366333, 22.735485076904297, 0.9988258481025696, 200, 9.99750015625e-05]
+2023-02-22 14:37:24,967	32k	INFO	====> Epoch: 3
+2023-02-22 14:38:56,168	32k	INFO	====> Epoch: 4
+2023-02-22 14:39:29,664	32k	INFO	Train Epoch: 5 [17%]
+2023-02-22 14:39:29,664	32k	INFO	[2.247507095336914, 2.4475936889648438, 12.479228019714355, 23.749866485595703, 1.3646601438522339, 400, 9.995000937421877e-05]
+2023-02-22 14:40:27,690	32k	INFO	====> Epoch: 5
+2023-02-22 14:41:58,975	32k	INFO	====> Epoch: 6
+2023-02-22 14:42:38,309	32k	INFO	Train Epoch: 7 [25%]
+2023-02-22 14:42:38,310	32k	INFO	[2.720693349838257, 2.3375821113586426, 9.826765060424805, 21.648380279541016, 0.9433642625808716, 600, 9.99250234335941e-05]
+2023-02-22 14:43:30,606	32k	INFO	====> Epoch: 7
+2023-02-22 14:45:01,819	32k	INFO	====> Epoch: 8
+2023-02-22 14:45:47,085	32k	INFO	Train Epoch: 9 [33%]
+2023-02-22 14:45:47,085	32k	INFO	[2.5194616317749023, 2.6869425773620605, 12.535841941833496, 22.44904327392578, 1.2266863584518433, 800, 9.990004373906418e-05]
+2023-02-22 14:46:33,458	32k	INFO	====> Epoch: 9
+2023-02-22 14:48:04,723	32k	INFO	====> Epoch: 10
+2023-02-22 14:48:55,750	32k	INFO	Train Epoch: 11 [42%]
+2023-02-22 14:48:55,750	32k	INFO	[2.049856424331665, 3.2148919105529785, 9.496326446533203, 15.099220275878906, 1.1717641353607178, 1000, 9.987507028906759e-05]
+2023-02-22 14:49:00,183	32k	INFO	Saving model and optimizer state at iteration 11 to ./logs\32k\G_1000.pth
+2023-02-22 14:49:19,296	32k	INFO	Saving model and optimizer state at iteration 11 to ./logs\32k\D_1000.pth
+2023-02-22 14:50:03,757	32k	INFO	====> Epoch: 11
+2023-02-22 14:51:35,495	32k	INFO	====> Epoch: 12
+2023-02-22 14:52:32,553	32k	INFO	Train Epoch: 13 [50%]
+2023-02-22 14:52:32,554	32k	INFO	[2.489741802215576, 2.4319345951080322, 11.793535232543945, 20.218076705932617, 0.7845316529273987, 1200, 9.98501030820433e-05]
+2023-02-22 14:53:07,458	32k	INFO	====> Epoch: 13
+2023-02-22 14:54:39,323	32k	INFO	====> Epoch: 14
+2023-02-22 14:55:42,302	32k	INFO	Train Epoch: 15 [58%]
+2023-02-22 14:55:42,302	32k	INFO	[2.609837055206299, 2.1415061950683594, 8.502999305725098, 19.083311080932617, 1.204352855682373, 1400, 9.982514211643064e-05]
+2023-02-22 14:56:11,452	32k	INFO	====> Epoch: 15
+2023-02-22 14:57:43,335	32k	INFO	====> Epoch: 16
+2023-02-22 14:58:52,204	32k	INFO	Train Epoch: 17 [67%]
+2023-02-22 14:58:52,205	32k	INFO	[2.5788638591766357, 2.1364264488220215, 7.731012344360352, 15.810824394226074, 1.110003113746643, 1600, 9.980018739066937e-05]
+2023-02-22 14:59:15,498	32k	INFO	====> Epoch: 17
+2023-02-22 15:00:47,193	32k	INFO	====> Epoch: 18
+2023-02-22 15:02:01,857	32k	INFO	Train Epoch: 19 [75%]
+2023-02-22 15:02:01,857	32k	INFO	[2.5087671279907227, 2.266523838043213, 9.564532279968262, 18.576448440551758, 0.7115161418914795, 1800, 9.977523890319963e-05]
+2023-02-22 15:02:19,244	32k	INFO	====> Epoch: 19
+2023-02-22 15:03:51,055	32k	INFO	====> Epoch: 20
+2023-02-22 15:05:11,654	32k	INFO	Train Epoch: 21 [83%]
+2023-02-22 15:05:11,655	32k	INFO	[2.3199269771575928, 2.477095603942871, 11.856741905212402, 20.60849952697754, 0.9765581488609314, 2000, 9.975029665246193e-05]
+2023-02-22 15:05:16,169	32k	INFO	Saving model and optimizer state at iteration 21 to ./logs\32k\G_2000.pth
+2023-02-22 15:05:35,247	32k	INFO	Saving model and optimizer state at iteration 21 to ./logs\32k\D_2000.pth
+2023-02-22 15:05:50,320	32k	INFO	====> Epoch: 21
+2023-02-22 15:07:22,122	32k	INFO	====> Epoch: 22
+2023-02-22 15:08:48,724	32k	INFO	Train Epoch: 23 [92%]
+2023-02-22 15:08:48,724	32k	INFO	[2.5126163959503174, 2.3070528507232666, 11.5335693359375, 21.152307510375977, 1.1387696266174316, 2200, 9.972536063689719e-05]
+2023-02-22 15:08:54,325	32k	INFO	====> Epoch: 23
+2023-02-22 15:10:26,193	32k	INFO	====> Epoch: 24
+2023-02-22 15:11:58,042	32k	INFO	====> Epoch: 25
+2023-02-22 15:12:19,978	32k	INFO	Train Epoch: 26 [0%]
+2023-02-22 15:12:19,978	32k	INFO	[2.566260814666748, 2.118185520172119, 8.801782608032227, 16.81813621520996, 0.8712365627288818, 2400, 9.968796830108985e-05]
+2023-02-22 15:13:30,299	32k	INFO	====> Epoch: 26
+2023-02-22 15:15:02,065	32k	INFO	====> Epoch: 27
+2023-02-22 15:15:29,847	32k	INFO	Train Epoch: 28 [8%]
+2023-02-22 15:15:29,847	32k	INFO	[2.5252060890197754, 2.0401153564453125, 10.247071266174316, 18.943756103515625, 1.3569800853729248, 2600, 9.966304786663908e-05]
+2023-02-22 15:16:34,164	32k	INFO	====> Epoch: 28
+2023-02-22 15:18:06,132	32k	INFO	====> Epoch: 29
+2023-02-22 15:18:39,775	32k	INFO	Train Epoch: 30 [17%]
+2023-02-22 15:18:39,775	32k	INFO	[2.5057239532470703, 2.326035976409912, 11.950654983520508, 22.501440048217773, 1.2382237911224365, 2800, 9.963813366190753e-05]
+2023-02-22 15:19:38,222	32k	INFO	====> Epoch: 30
+2023-02-22 15:21:10,107	32k	INFO	====> Epoch: 31
+2023-02-22 15:21:49,589	32k	INFO	Train Epoch: 32 [25%]
+2023-02-22 15:21:49,590	32k	INFO	[2.2636756896972656, 2.373335123062134, 11.810818672180176, 19.981029510498047, 0.858932614326477, 3000, 9.961322568533789e-05]
+2023-02-22 15:21:54,053	32k	INFO	Saving model and optimizer state at iteration 32 to ./logs\32k\G_3000.pth
+2023-02-22 15:22:11,823	32k	INFO	Saving model and optimizer state at iteration 32 to ./logs\32k\D_3000.pth
+2023-02-22 15:23:07,665	32k	INFO	====> Epoch: 32
+2023-02-22 15:24:39,609	32k	INFO	====> Epoch: 33
+2023-02-22 15:25:25,049	32k	INFO	Train Epoch: 34 [33%]
+2023-02-22 15:25:25,050	32k	INFO	[2.5494279861450195, 2.0830795764923096, 6.602403163909912, 10.558989524841309, 1.0258899927139282, 3200, 9.95883239353732e-05]
+2023-02-22 15:26:11,828	32k	INFO	====> Epoch: 34
+2023-02-22 15:27:43,763	32k	INFO	====> Epoch: 35
+2023-02-22 15:28:35,139	32k	INFO	Train Epoch: 36 [42%]
+2023-02-22 15:28:35,139	32k	INFO	[2.4735586643218994, 2.1442575454711914, 10.77430248260498, 18.345321655273438, 0.9167714715003967, 3400, 9.956342841045691e-05]
+2023-02-22 15:29:16,168	32k	INFO	====> Epoch: 36
+2023-02-22 15:30:48,154	32k	INFO	====> Epoch: 37
+2023-02-22 15:31:45,388	32k	INFO	Train Epoch: 38 [50%]
+2023-02-22 15:31:45,388	32k	INFO	[2.1438865661621094, 2.6590867042541504, 13.766039848327637, 20.467525482177734, 1.1156392097473145, 3600, 9.953853910903285e-05]
+2023-02-22 15:32:20,434	32k	INFO	====> Epoch: 38
+2023-02-22 15:33:52,419	32k	INFO	====> Epoch: 39
+2023-02-22 15:34:55,633	32k	INFO	Train Epoch: 40 [58%]
+2023-02-22 15:34:55,634	32k	INFO	[2.2264719009399414, 2.578108549118042, 13.543416023254395, 20.043352127075195, 1.2697389125823975, 3800, 9.951365602954526e-05]
+2023-02-22 15:35:24,767	32k	INFO	====> Epoch: 40
+2023-02-22 15:36:56,696	32k	INFO	====> Epoch: 41
+2023-02-22 15:38:05,727	32k	INFO	Train Epoch: 42 [67%]
+2023-02-22 15:38:05,727	32k	INFO	[2.699327230453491, 2.1295037269592285, 6.064660549163818, 14.428650856018066, 1.158591628074646, 4000, 9.948877917043875e-05]
+2023-02-22 15:38:10,077	32k	INFO	Saving model and optimizer state at iteration 42 to ./logs\32k\G_4000.pth
+2023-02-22 15:38:26,694	32k	INFO	Saving model and optimizer state at iteration 42 to ./logs\32k\D_4000.pth
+2023-02-22 15:38:53,288	32k	INFO	====> Epoch: 42
+2023-02-22 15:40:25,213	32k	INFO	====> Epoch: 43
+2023-02-22 15:41:40,124	32k	INFO	Train Epoch: 44 [75%]
+2023-02-22 15:41:40,125	32k	INFO	[2.5202181339263916, 2.263179063796997, 8.506352424621582, 14.219698905944824, 1.1474385261535645, 4200, 9.94639085301583e-05]
+2023-02-22 15:41:57,522	32k	INFO	====> Epoch: 44
+2023-02-22 15:43:29,518	32k	INFO	====> Epoch: 45
+2023-02-22 15:44:50,330	32k	INFO	Train Epoch: 46 [83%]
+2023-02-22 15:44:50,331	32k	INFO	[2.5390665531158447, 2.3581087589263916, 10.267776489257812, 18.579225540161133, 0.5731378197669983, 4400, 9.943904410714931e-05]
+2023-02-22 15:45:01,966	32k	INFO	====> Epoch: 46
+2023-02-22 15:46:34,021	32k	INFO	====> Epoch: 47
+2023-02-22 15:48:00,727	32k	INFO	Train Epoch: 48 [92%]
+2023-02-22 15:48:00,727	32k	INFO	[2.515454053878784, 2.529177188873291, 9.766312599182129, 17.621761322021484, 0.8474573493003845, 4600, 9.941418589985758e-05]
+2023-02-22 15:48:06,337	32k	INFO	====> Epoch: 48
+2023-02-22 15:49:38,320	32k	INFO	====> Epoch: 49
+2023-02-22 15:51:10,201	32k	INFO	====> Epoch: 50
+2023-02-22 15:51:32,250	32k	INFO	Train Epoch: 51 [0%]
+2023-02-22 15:51:32,251	32k	INFO	[2.3931424617767334, 2.356489419937134, 9.818400382995605, 17.91476821899414, 0.9206458926200867, 4800, 9.937691023999092e-05]
+2023-02-22 15:52:42,572	32k	INFO	====> Epoch: 51
+2023-02-22 15:54:14,584	32k	INFO	====> Epoch: 52
+2023-02-22 15:54:42,402	32k	INFO	Train Epoch: 53 [8%]
+2023-02-22 15:54:42,403	32k	INFO	[2.62162184715271, 2.1928069591522217, 7.006716251373291, 12.615202903747559, 1.3347645998001099, 5000, 9.935206756519513e-05]
+2023-02-22 15:54:46,954	32k	INFO	Saving model and optimizer state at iteration 53 to ./logs\32k\G_5000.pth
+2023-02-22 15:55:04,806	32k	INFO	Saving model and optimizer state at iteration 53 to ./logs\32k\D_5000.pth
+2023-02-22 15:56:12,484	32k	INFO	====> Epoch: 53
+2023-02-22 15:57:44,459	32k	INFO	====> Epoch: 54
+2023-02-22 15:58:18,146	32k	INFO	Train Epoch: 55 [17%]
+2023-02-22 15:58:18,146	32k	INFO	[2.3371574878692627, 2.5377357006073, 12.064924240112305, 20.312028884887695, 0.8844712376594543, 5200, 9.932723110067987e-05]
+2023-02-22 15:59:16,702	32k	INFO	====> Epoch: 55
+2023-02-22 16:00:48,683	32k	INFO	====> Epoch: 56
+2023-02-22 16:01:28,287	32k	INFO	Train Epoch: 57 [25%]
+2023-02-22 16:01:28,287	32k	INFO	[2.4237263202667236, 2.382598876953125, 9.18662166595459, 19.957326889038086, 0.973038375377655, 5400, 9.930240084489267e-05]
+2023-02-22 16:02:21,032	32k	INFO	====> Epoch: 57
+2023-02-22 16:03:53,053	32k	INFO	====> Epoch: 58
+2023-02-22 16:04:38,512	32k	INFO	Train Epoch: 59 [33%]
+2023-02-22 16:04:38,513	32k	INFO	[2.5449366569519043, 2.398916006088257, 6.566847801208496, 14.815089225769043, 0.9515616297721863, 5600, 9.927757679628145e-05]
+2023-02-22 16:05:25,239	32k	INFO	====> Epoch: 59
+2023-02-22 16:06:57,184	32k	INFO	====> Epoch: 60
+2023-02-22 16:07:48,540	32k	INFO	Train Epoch: 61 [42%]
+2023-02-22 16:07:48,541	32k	INFO	[2.401327610015869, 2.294501781463623, 10.175949096679688, 17.809703826904297, 0.2573431134223938, 5800, 9.92527589532945e-05]
+2023-02-22 16:08:29,513	32k	INFO	====> Epoch: 61
+2023-02-22 16:10:01,428	32k	INFO	====> Epoch: 62
+2023-02-22 16:10:58,728	32k	INFO	Train Epoch: 63 [50%]
+2023-02-22 16:10:58,728	32k	INFO	[2.3318843841552734, 2.3909454345703125, 14.289694786071777, 23.690601348876953, 0.8774771094322205, 6000, 9.922794731438052e-05]
+2023-02-22 16:11:03,111	32k	INFO	Saving model and optimizer state at iteration 63 to ./logs\32k\G_6000.pth
+2023-02-22 16:11:21,087	32k	INFO	Saving model and optimizer state at iteration 63 to ./logs\32k\D_6000.pth
+2023-02-22 16:11:59,465	32k	INFO	====> Epoch: 63
+2023-02-22 16:13:31,525	32k	INFO	====> Epoch: 64
+2023-02-22 16:14:34,657	32k	INFO	Train Epoch: 65 [58%]
+2023-02-22 16:14:34,658	32k	INFO	[2.5927109718322754, 1.9995574951171875, 10.218186378479004, 17.972421646118164, 0.97355717420578, 6200, 9.92031418779886e-05]
+2023-02-22 16:15:03,864	32k	INFO	====> Epoch: 65
+2023-02-22 16:16:35,954	32k	INFO	====> Epoch: 66
+2023-02-22 16:17:44,886	32k	INFO	Train Epoch: 67 [67%]
+2023-02-22 16:17:44,886	32k	INFO	[2.424114942550659, 2.504781484603882, 8.676969528198242, 19.212587356567383, 0.6396912336349487, 6400, 9.917834264256819e-05]
+2023-02-22 16:18:08,323	32k	INFO	====> Epoch: 67
+2023-02-22 16:19:40,252	32k	INFO	====> Epoch: 68
+2023-02-22 16:20:55,170	32k	INFO	Train Epoch: 69 [75%]
+2023-02-22 16:20:55,170	32k	INFO	[2.1533024311065674, 3.0644826889038086, 7.629947662353516, 12.209115982055664, 0.5737940669059753, 6600, 9.915354960656915e-05]
+2023-02-22 16:21:12,576	32k	INFO	====> Epoch: 69
+2023-02-22 16:22:44,491	32k	INFO	====> Epoch: 70
+2023-02-22 16:24:05,302	32k	INFO	Train Epoch: 71 [83%]
+2023-02-22 16:24:05,303	32k	INFO	[2.5728468894958496, 2.255802631378174, 12.372926712036133, 19.72517204284668, 0.4394569396972656, 6800, 9.912876276844171e-05]
+2023-02-22 16:24:16,802	32k	INFO	====> Epoch: 71
+2023-02-22 16:25:48,812	32k	INFO	====> Epoch: 72
+2023-02-22 16:27:15,565	32k	INFO	Train Epoch: 73 [92%]
+2023-02-22 16:27:15,566	32k	INFO	[2.4174983501434326, 2.583244800567627, 12.01104736328125, 20.709869384765625, 0.8593897223472595, 7000, 9.910398212663652e-05]
+2023-02-22 16:27:19,933	32k	INFO	Saving model and optimizer state at iteration 73 to ./logs\32k\G_7000.pth
+2023-02-22 16:27:36,201	32k	INFO	Saving model and optimizer state at iteration 73 to ./logs\32k\D_7000.pth
+2023-02-22 16:27:45,345	32k	INFO	====> Epoch: 73
+2023-02-22 16:29:17,311	32k	INFO	====> Epoch: 74
+2023-02-22 16:30:49,193	32k	INFO	====> Epoch: 75
+2023-02-22 16:31:11,286	32k	INFO	Train Epoch: 76 [0%]
+2023-02-22 16:31:11,286	32k	INFO	[2.4050168991088867, 2.314572334289551, 10.949235916137695, 17.868207931518555, 0.8503013849258423, 7200, 9.906682277864462e-05]
+2023-02-22 16:32:21,498	32k	INFO	====> Epoch: 76
+2023-02-22 16:33:53,639	32k	INFO	====> Epoch: 77
+2023-02-22 16:34:21,492	32k	INFO	Train Epoch: 78 [8%]
+2023-02-22 16:34:21,492	32k	INFO	[2.33305025100708, 2.5026371479034424, 10.88790225982666, 19.406280517578125, 0.8907907605171204, 7400, 9.904205762086905e-05]
+2023-02-22 16:35:25,844	32k	INFO	====> Epoch: 78
+2023-02-22 16:36:57,756	32k	INFO	====> Epoch: 79
+2023-02-22 16:37:33,287	32k	INFO	Train Epoch: 80 [17%]
+2023-02-22 16:37:33,287	32k	INFO	[2.3774352073669434, 2.40655517578125, 11.575504302978516, 19.511062622070312, 0.7897243499755859, 7600, 9.901729865399597e-05]
+2023-02-22 16:38:33,509	32k	INFO	====> Epoch: 80
+2023-02-22 16:40:21,757	32k	INFO	====> Epoch: 81
+2023-02-22 16:41:05,284	32k	INFO	Train Epoch: 82 [25%]
+2023-02-22 16:41:05,285	32k	INFO	[2.507054090499878, 2.5407822132110596, 10.627754211425781, 19.242189407348633, 1.1186254024505615, 7800, 9.899254587647776e-05]
+2023-02-22 16:42:05,985	32k	INFO	====> Epoch: 82
+2023-02-22 16:43:40,273	32k	INFO	====> Epoch: 83
+2023-02-22 16:44:26,718	32k	INFO	Train Epoch: 84 [33%]
+2023-02-22 16:44:26,718	32k	INFO	[2.372248649597168, 2.335797071456909, 10.346333503723145, 19.8045597076416, 0.8870834708213806, 8000, 9.896779928676716e-05]
+2023-02-22 16:44:31,079	32k	INFO	Saving model and optimizer state at iteration 84 to ./logs\32k\G_8000.pth
+2023-02-22 16:44:47,704	32k	INFO	Saving model and optimizer state at iteration 84 to ./logs\32k\D_8000.pth
+2023-02-22 16:45:39,633	32k	INFO	====> Epoch: 84
+2023-02-22 16:47:14,215	32k	INFO	====> Epoch: 85
+2023-02-22 16:48:06,579	32k	INFO	Train Epoch: 86 [42%]
+2023-02-22 16:48:06,580	32k	INFO	[2.71091628074646, 1.917865514755249, 6.362136363983154, 12.128801345825195, 0.7704624533653259, 8200, 9.894305888331732e-05]
+2023-02-22 16:48:48,895	32k	INFO	====> Epoch: 86
+2023-02-22 16:50:23,435	32k	INFO	====> Epoch: 87
+2023-02-22 16:51:21,956	32k	INFO	Train Epoch: 88 [50%]
+2023-02-22 16:51:21,956	32k	INFO	[2.347158193588257, 2.519123077392578, 13.479973793029785, 21.263261795043945, 1.0561842918395996, 8400, 9.891832466458178e-05]
+2023-02-22 16:51:58,188	32k	INFO	====> Epoch: 88
+2023-02-22 16:53:32,713	32k	INFO	====> Epoch: 89
+2023-02-22 16:54:37,198	32k	INFO	Train Epoch: 90 [58%]
+2023-02-22 16:54:37,198	32k	INFO	[2.253192901611328, 2.7299721240997314, 10.998817443847656, 17.6474552154541, 0.6397795081138611, 8600, 9.889359662901445e-05]
+2023-02-22 16:55:07,253	32k	INFO	====> Epoch: 90
+2023-02-22 16:56:41,772	32k	INFO	====> Epoch: 91
+2023-02-22 16:57:52,446	32k	INFO	Train Epoch: 92 [67%]
+2023-02-22 16:57:52,446	32k	INFO	[2.1650004386901855, 2.9927978515625, 12.249756813049316, 19.009756088256836, 0.5815404653549194, 8800, 9.886887477506964e-05]
+2023-02-22 16:58:16,630	32k	INFO	====> Epoch: 92
+2023-02-22 16:59:51,089	32k	INFO	====> Epoch: 93
+2023-02-22 17:01:07,832	32k	INFO	Train Epoch: 94 [75%]
+2023-02-22 17:01:07,832	32k	INFO	[2.2091586589813232, 2.7259390354156494, 8.377230644226074, 15.831489562988281, 1.1868693828582764, 9000, 9.884415910120204e-05]
+2023-02-22 17:01:12,237	32k	INFO	Saving model and optimizer state at iteration 94 to ./logs\32k\G_9000.pth
+2023-02-22 17:01:29,650	32k	INFO	Saving model and optimizer state at iteration 94 to ./logs\32k\D_9000.pth
+2023-02-22 17:01:51,234	32k	INFO	====> Epoch: 94
+2023-02-22 17:03:26,924	32k	INFO	====> Epoch: 95
+2023-02-22 17:04:49,734	32k	INFO	Train Epoch: 96 [83%]
+2023-02-22 17:04:49,734	32k	INFO	[2.2579903602600098, 2.5196046829223633, 11.29547119140625, 19.78851318359375, 0.7442747950553894, 9200, 9.881944960586671e-05]
+2023-02-22 17:05:01,727	32k	INFO	====> Epoch: 96
+2023-02-22 17:06:36,234	32k	INFO	====> Epoch: 97
+2023-02-22 17:08:05,105	32k	INFO	Train Epoch: 98 [92%]
+2023-02-22 17:08:05,106	32k	INFO	[2.2475061416625977, 2.572089195251465, 12.223832130432129, 19.65192413330078, 1.1417388916015625, 9400, 9.879474628751914e-05]
+2023-02-22 17:08:10,877	32k	INFO	====> Epoch: 98
+2023-02-22 17:09:45,334	32k	INFO	====> Epoch: 99
+2023-02-22 17:11:19,697	32k	INFO	====> Epoch: 100
+2023-02-22 17:11:41,688	32k	INFO	Train Epoch: 101 [0%]
+2023-02-22 17:11:41,688	32k	INFO	[2.349648952484131, 2.544644594192505, 11.396925926208496, 19.187210083007812, 1.01069974899292, 9600, 9.875770288847208e-05]
+2023-02-22 17:12:54,275	32k	INFO	====> Epoch: 101
+2023-02-22 17:14:28,617	32k	INFO	====> Epoch: 102
+2023-02-22 17:14:56,638	32k	INFO	Train Epoch: 103 [8%]
+2023-02-22 17:14:56,639	32k	INFO	[2.373283863067627, 2.405756711959839, 11.242820739746094, 19.008630752563477, 0.8255038857460022, 9800, 9.873301500583906e-05]
+2023-02-22 17:16:03,251	32k	INFO	====> Epoch: 103
+2023-02-22 17:17:37,617	32k	INFO	====> Epoch: 104
+2023-02-22 17:18:11,823	32k	INFO	Train Epoch: 105 [17%]
+2023-02-22 17:18:11,823	32k	INFO	[2.284367084503174, 2.3137102127075195, 11.732841491699219, 19.72892951965332, 0.8187623620033264, 10000, 9.870833329479095e-05]
+2023-02-22 17:18:16,173	32k	INFO	Saving model and optimizer state at iteration 105 to ./logs\32k\G_10000.pth
+2023-02-22 17:18:35,785	32k	INFO	Saving model and optimizer state at iteration 105 to ./logs\32k\D_10000.pth
+2023-02-22 17:19:39,979	32k	INFO	====> Epoch: 105
+2023-02-22 17:21:14,353	32k	INFO	====> Epoch: 106
+2023-02-22 17:21:54,670	32k	INFO	Train Epoch: 107 [25%]
+2023-02-22 17:21:54,670	32k	INFO	[2.573239326477051, 2.3250515460968018, 10.18419361114502, 19.073320388793945, 1.2266535758972168, 10200, 9.868365775378495e-05]
+2023-02-22 17:22:49,113	32k	INFO	====> Epoch: 107
+2023-02-22 17:24:23,459	32k	INFO	====> Epoch: 108
+2023-02-22 17:25:09,774	32k	INFO	Train Epoch: 109 [33%]
+2023-02-22 17:25:09,775	32k	INFO	[2.383540153503418, 2.1890156269073486, 9.045347213745117, 16.33897590637207, 1.013568639755249, 10400, 9.865898838127865e-05]
+2023-02-22 17:25:58,126	32k	INFO	====> Epoch: 109
+2023-02-22 17:27:32,628	32k	INFO	====> Epoch: 110
+2023-02-22 17:28:24,990	32k	INFO	Train Epoch: 111 [42%]
+2023-02-22 17:28:24,990	32k	INFO	[2.5534281730651855, 2.1356728076934814, 6.74716854095459, 11.141881942749023, 0.9786153435707092, 10600, 9.863432517573002e-05]
+2023-02-22 17:29:07,375	32k	INFO	====> Epoch: 111
+2023-02-22 17:30:41,812	32k	INFO	====> Epoch: 112
+2023-02-22 17:31:40,243	32k	INFO	Train Epoch: 113 [50%]
+2023-02-22 17:31:40,243	32k	INFO	[2.333615779876709, 2.469421863555908, 11.403718948364258, 18.24078941345215, 0.8930609822273254, 10800, 9.86096681355974e-05]
+2023-02-22 17:32:16,374	32k	INFO	====> Epoch: 113
+2023-02-22 17:33:50,757	32k	INFO	====> Epoch: 114
+2023-02-22 17:34:55,259	32k	INFO	Train Epoch: 115 [58%]
+2023-02-22 17:34:55,260	32k	INFO	[2.597790241241455, 2.1551156044006348, 10.270503997802734, 16.67560577392578, 1.3888392448425293, 11000, 9.858501725933955e-05]
+2023-02-22 17:34:59,644	32k	INFO	Saving model and optimizer state at iteration 115 to ./logs\32k\G_11000.pth
+2023-02-22 17:35:17,175	32k	INFO	Saving model and optimizer state at iteration 115 to ./logs\32k\D_11000.pth
+2023-02-22 17:35:54,062	32k	INFO	====> Epoch: 115
+2023-02-22 20:31:20,713	32k	INFO	====> Epoch: 116
+2023-02-22 20:32:30,093	32k	INFO	Train Epoch: 117 [67%]
+2023-02-22 20:32:30,094	32k	INFO	[2.4348371028900146, 2.0384914875030518, 10.057577133178711, 16.99835205078125, 0.528782844543457, 11200, 9.85603725454156e-05]
+2023-02-22 20:32:53,867	32k	INFO	====> Epoch: 117
+2023-02-22 20:34:28,874	32k	INFO	====> Epoch: 118
+2023-02-22 20:35:45,963	32k	INFO	Train Epoch: 119 [75%]
+2023-02-22 20:35:45,963	32k	INFO	[2.6818912029266357, 2.2558794021606445, 8.338019371032715, 15.641912460327148, 0.7577197551727295, 11400, 9.853573399228505e-05]
+2023-02-22 20:36:03,813	32k	INFO	====> Epoch: 119
+2023-02-22 20:37:37,151	32k	INFO	====> Epoch: 120
+2023-02-22 20:39:00,221	32k	INFO	Train Epoch: 121 [83%]
+2023-02-22 20:39:00,221	32k	INFO	[2.2360901832580566, 2.620755910873413, 12.849711418151855, 21.679330825805664, 0.5196329355239868, 11600, 9.851110159840781e-05]
+2023-02-22 20:39:12,031	32k	INFO	====> Epoch: 121
+2023-02-22 20:40:47,542	32k	INFO	====> Epoch: 122
+2023-02-22 20:42:17,956	32k	INFO	Train Epoch: 123 [92%]
+2023-02-22 20:42:17,956	32k	INFO	[2.399332046508789, 2.413424253463745, 10.66106128692627, 20.046344757080078, 0.6961185336112976, 11800, 9.848647536224416e-05]
+2023-02-22 20:42:23,805	32k	INFO	====> Epoch: 123
+2023-02-22 20:44:01,725	32k	INFO	====> Epoch: 124
+2023-02-22 20:45:38,751	32k	INFO	====> Epoch: 125
+2023-02-22 20:46:00,717	32k	INFO	Train Epoch: 126 [0%]
+2023-02-22 20:46:00,717	32k	INFO	[2.8306925296783447, 2.608029842376709, 6.2529497146606445, 12.364657402038574, 0.8958999514579773, 12000, 9.84495475503445e-05]
+2023-02-22 20:46:05,062	32k	INFO	Saving model and optimizer state at iteration 126 to ./logs\32k\G_12000.pth
+2023-02-22 20:46:22,876	32k	INFO	Saving model and optimizer state at iteration 126 to ./logs\32k\D_12000.pth
+2023-02-22 20:47:49,445	32k	INFO	====> Epoch: 126
+2023-02-22 20:49:39,187	32k	INFO	====> Epoch: 127
+2023-02-22 20:50:07,537	32k	INFO	Train Epoch: 128 [8%]
+2023-02-22 20:50:07,538	32k	INFO	[2.4325919151306152, 2.298684597015381, 8.939014434814453, 12.424883842468262, 0.7497723698616028, 12200, 9.842493670173108e-05]
+2023-02-22 20:51:19,370	32k	INFO	====> Epoch: 128
+2023-02-22 20:52:52,991	32k	INFO	====> Epoch: 129
+2023-02-22 20:53:26,740	32k	INFO	Train Epoch: 130 [17%]
+2023-02-22 20:53:26,740	32k	INFO	[2.4256911277770996, 2.498311996459961, 11.079325675964355, 18.753610610961914, 0.739328145980835, 12400, 9.840033200544528e-05]
+2023-02-22 20:54:26,818	32k	INFO	====> Epoch: 130
+2023-02-22 20:56:01,178	32k	INFO	====> Epoch: 131
+2023-02-22 20:56:41,144	32k	INFO	Train Epoch: 132 [25%]
+2023-02-22 20:56:41,145	32k	INFO	[2.4430596828460693, 2.443613052368164, 9.05742359161377, 17.19443702697754, 0.7620078921318054, 12600, 9.837573345994909e-05]
+2023-02-22 20:57:35,413	32k	INFO	====> Epoch: 132
+2023-02-22 20:59:09,120	32k	INFO	====> Epoch: 133
+2023-02-22 20:59:55,044	32k	INFO	Train Epoch: 134 [33%]
+2023-02-22 20:59:55,045	32k	INFO	[2.505936622619629, 2.3898284435272217, 7.810985088348389, 13.378456115722656, 1.2783924341201782, 12800, 9.835114106370493e-05]
+2023-02-22 21:00:43,179	32k	INFO	====> Epoch: 134
+2023-02-22 21:02:16,908	32k	INFO	====> Epoch: 135
+2023-02-22 21:03:08,902	32k	INFO	Train Epoch: 136 [42%]
+2023-02-22 21:03:08,902	32k	INFO	[2.4402434825897217, 2.1326770782470703, 10.419414520263672, 17.756248474121094, 0.7173585295677185, 13000, 9.832655481517557e-05]
+2023-02-22 21:03:13,205	32k	INFO	Saving model and optimizer state at iteration 136 to ./logs\32k\G_13000.pth
+2023-02-22 21:03:30,811	32k	INFO	Saving model and optimizer state at iteration 136 to ./logs\32k\D_13000.pth
+2023-02-22 21:04:16,487	32k	INFO	====> Epoch: 136
+2023-02-22 21:05:50,181	32k	INFO	====> Epoch: 137
+2023-02-22 21:06:48,153	32k	INFO	Train Epoch: 138 [50%]
+2023-02-22 21:06:48,153	32k	INFO	[2.360225200653076, 2.247342109680176, 11.932147026062012, 19.808679580688477, 0.7805557250976562, 13200, 9.830197471282419e-05]
+2023-02-22 21:07:24,075	32k	INFO	====> Epoch: 138
+2023-02-22 21:08:57,845	32k	INFO	====> Epoch: 139
+2023-02-22 21:10:01,976	32k	INFO	Train Epoch: 140 [58%]
+2023-02-22 21:10:01,977	32k	INFO	[2.3206355571746826, 2.3782708644866943, 10.206865310668945, 16.233327865600586, 1.0171841382980347, 13400, 9.827740075511432e-05]
+2023-02-22 21:10:31,906	32k	INFO	====> Epoch: 140
+2023-02-22 21:12:05,629	32k	INFO	====> Epoch: 141
+2023-02-22 21:13:15,714	32k	INFO	Train Epoch: 142 [67%]
+2023-02-22 21:13:15,714	32k	INFO	[2.479469060897827, 2.4788477420806885, 9.181254386901855, 18.939329147338867, 0.5550024509429932, 13600, 9.825283294050992e-05]
+2023-02-22 21:13:39,694	32k	INFO	====> Epoch: 142
+2023-02-22 21:15:13,374	32k	INFO	====> Epoch: 143
+2023-02-22 21:16:29,548	32k	INFO	Train Epoch: 144 [75%]
+2023-02-22 21:16:29,548	32k	INFO	[2.6104512214660645, 2.257268190383911, 8.792437553405762, 15.681217193603516, 0.7313880324363708, 13800, 9.822827126747529e-05]
+2023-02-22 21:16:47,390	32k	INFO	====> Epoch: 144
+2023-02-22 21:18:20,999	32k	INFO	====> Epoch: 145
+2023-02-22 21:19:43,366	32k	INFO	Train Epoch: 146 [83%]
+2023-02-22 21:19:43,366	32k	INFO	[2.349297523498535, 2.540470600128174, 9.31801700592041, 17.564865112304688, 0.844805121421814, 14000, 9.820371573447515e-05]
+2023-02-22 21:19:47,730	32k	INFO	Saving model and optimizer state at iteration 146 to ./logs\32k\G_14000.pth
+2023-02-22 21:20:06,766	32k	INFO	Saving model and optimizer state at iteration 146 to ./logs\32k\D_14000.pth
+2023-02-22 21:20:22,632	32k	INFO	====> Epoch: 146
+2023-02-22 21:21:56,366	32k	INFO	====> Epoch: 147
+2023-02-22 21:23:24,644	32k	INFO	Train Epoch: 148 [92%]
+2023-02-22 21:23:24,644	32k	INFO	[2.459839344024658, 2.3918144702911377, 10.237080574035645, 19.57539176940918, 0.8234599232673645, 14200, 9.817916633997459e-05]
+2023-02-22 21:23:30,381	32k	INFO	====> Epoch: 148
+2023-02-22 21:25:04,056	32k	INFO	====> Epoch: 149
+2023-02-22 21:26:43,871	32k	INFO	====> Epoch: 150
+2023-02-22 21:27:05,974	32k	INFO	Train Epoch: 151 [0%]
+2023-02-22 21:27:05,974	32k	INFO	[2.3207051753997803, 2.562465190887451, 11.952434539794922, 18.7629337310791, 0.7440965175628662, 14400, 9.814235375455375e-05]
+2023-02-22 21:28:21,242	32k	INFO	====> Epoch: 151
+2023-02-22 21:29:56,786	32k	INFO	====> Epoch: 152
+2023-02-22 21:30:24,915	32k	INFO	Train Epoch: 153 [8%]
+2023-02-22 21:30:24,915	32k	INFO	[2.3596057891845703, 2.2290072441101074, 12.462300300598145, 16.245037078857422, 0.7593880891799927, 14600, 9.811781969958938e-05]
+2023-02-22 21:31:32,555	32k	INFO	====> Epoch: 153
+2023-02-22 21:33:08,028	32k	INFO	====> Epoch: 154
+2023-02-22 21:33:42,295	32k	INFO	Train Epoch: 155 [17%]
+2023-02-22 21:33:42,295	32k	INFO	[2.2800114154815674, 2.362840175628662, 14.557291030883789, 21.61530876159668, 0.5335739254951477, 14800, 9.809329177775541e-05]
+2023-02-22 21:34:43,650	32k	INFO	====> Epoch: 155
+2023-02-22 21:36:27,381	32k	INFO	====> Epoch: 156
+2023-02-22 21:37:10,436	32k	INFO	Train Epoch: 157 [25%]
+2023-02-22 21:37:10,436	32k	INFO	[2.6323020458221436, 2.181378126144409, 8.393657684326172, 14.980151176452637, 0.9145171046257019, 15000, 9.806876998751865e-05]
+2023-02-22 21:37:14,832	32k	INFO	Saving model and optimizer state at iteration 157 to ./logs\32k\G_15000.pth
+2023-02-22 21:37:33,451	32k	INFO	Saving model and optimizer state at iteration 157 to ./logs\32k\D_15000.pth
+2023-02-22 21:38:35,506	32k	INFO	====> Epoch: 157

44k-V4.0-luna/D_12800.pth

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44k-V4.0-luna/D_128000.pth

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44k-V4.0-luna/G_20000.pth

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44k-V4.0-luna/G_289600.pth

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+size 542792859

44k-V4.0-luna/config.json

@@ -0,0 +1,93 @@
+{
+  "train": {
+    "log_interval": 200,
+    "eval_interval": 800,
+    "seed": 1234,
+    "epochs": 10000,
+    "learning_rate": 0.0001,
+    "betas": [
+      0.8,
+      0.99
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+    "eps": 1e-09,
+    "batch_size": 6,
+    "fp16_run": false,
+    "lr_decay": 0.999875,
+    "segment_size": 10240,
+    "init_lr_ratio": 1,
+    "warmup_epochs": 0,
+    "c_mel": 45,
+    "c_kl": 1.0,
+    "use_sr": true,
+    "max_speclen": 512,
+    "port": "8001",
+    "keep_ckpts": 0
+  },
+  "data": {
+    "training_files": "filelists/train.txt",
+    "validation_files": "filelists/val.txt",
+    "max_wav_value": 32768.0,
+    "sampling_rate": 44100,
+    "filter_length": 2048,
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+    "win_length": 2048,
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+    "gin_channels": 256,
+    "ssl_dim": 256,
+    "n_speakers": 200
+  },
+  "spk": {
+    "luna": 0
+  }
+}