32k-azusa/train.log

2023-02-08 00:28:58,381	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': {'azusa': 0}, 'model_dir': './logs\\32k'}
2023-02-08 00:29:14,126	32k	INFO	Loaded checkpoint './logs\32k\G_0.pth' (iteration 1)
2023-02-08 00:29:14,507	32k	INFO	Loaded checkpoint './logs\32k\D_0.pth' (iteration 1)
2023-02-08 00:29:24,517	32k	INFO	Train Epoch: 1 [0%]
2023-02-08 00:29:24,517	32k	INFO	[14.127233505249023, 2.6817855834960938, 17.524608612060547, 48.69287109375, 22.818058013916016, 0, 0.0001]
2023-02-08 00:29:29,422	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\G_0.pth
2023-02-08 00:29:45,554	32k	INFO	Saving model and optimizer state at iteration 1 to ./logs\32k\D_0.pth
2023-02-08 00:30:14,473	32k	INFO	====> Epoch: 1
2023-02-08 00:30:42,266	32k	INFO	====> Epoch: 2
2023-02-08 00:31:11,793	32k	INFO	====> Epoch: 3
2023-02-08 00:31:39,220	32k	INFO	====> Epoch: 4
2023-02-08 00:32:06,560	32k	INFO	====> Epoch: 5
2023-02-08 00:32:34,082	32k	INFO	====> Epoch: 6
2023-02-08 00:33:01,585	32k	INFO	====> Epoch: 7
2023-02-08 00:33:29,018	32k	INFO	====> Epoch: 8
2023-02-08 00:33:33,278	32k	INFO	Train Epoch: 9 [0%]
2023-02-08 00:33:33,279	32k	INFO	[2.680903434753418, 2.2613558769226074, 11.460450172424316, 17.092632293701172, 0.9353470206260681, 200, 9.990004373906418e-05]
2023-02-08 00:33:57,068	32k	INFO	====> Epoch: 9
2023-02-08 00:34:24,645	32k	INFO	====> Epoch: 10
2023-02-08 00:34:52,282	32k	INFO	====> Epoch: 11
2023-02-08 00:35:19,777	32k	INFO	====> Epoch: 12
2023-02-08 00:35:47,287	32k	INFO	====> Epoch: 13
2023-02-08 00:36:14,870	32k	INFO	====> Epoch: 14
2023-02-08 00:36:42,475	32k	INFO	====> Epoch: 15
2023-02-08 00:37:09,971	32k	INFO	====> Epoch: 16
2023-02-08 00:37:14,146	32k	INFO	Train Epoch: 17 [0%]
2023-02-08 00:37:14,146	32k	INFO	[2.5148773193359375, 2.4263691902160645, 13.75574779510498, 22.036197662353516, 0.6394546031951904, 400, 9.980018739066937e-05]
2023-02-08 00:37:37,808	32k	INFO	====> Epoch: 17
2023-02-08 00:38:05,165	32k	INFO	====> Epoch: 18
2023-02-08 00:38:32,658	32k	INFO	====> Epoch: 19
2023-02-08 00:39:00,166	32k	INFO	====> Epoch: 20
2023-02-08 00:39:27,627	32k	INFO	====> Epoch: 21
2023-02-08 00:39:55,202	32k	INFO	====> Epoch: 22
2023-02-08 00:40:22,647	32k	INFO	====> Epoch: 23
2023-02-08 00:40:50,248	32k	INFO	====> Epoch: 24
2023-02-08 00:40:54,548	32k	INFO	Train Epoch: 25 [0%]
2023-02-08 00:40:54,548	32k	INFO	[2.696945905685425, 2.320497512817383, 12.228717803955078, 18.85094451904297, 1.0285791158676147, 600, 9.970043085494672e-05]
2023-02-08 00:41:18,362	32k	INFO	====> Epoch: 25
2023-02-08 00:41:46,096	32k	INFO	====> Epoch: 26
2023-02-08 00:42:13,577	32k	INFO	====> Epoch: 27
2023-02-08 00:42:41,155	32k	INFO	====> Epoch: 28
2023-02-08 00:43:08,669	32k	INFO	====> Epoch: 29
2023-02-08 00:43:36,158	32k	INFO	====> Epoch: 30
2023-02-08 00:44:03,599	32k	INFO	====> Epoch: 31
2023-02-08 00:44:31,024	32k	INFO	====> Epoch: 32
2023-02-08 00:44:35,319	32k	INFO	Train Epoch: 33 [0%]
2023-02-08 00:44:35,320	32k	INFO	[2.3936450481414795, 2.404134511947632, 12.766923904418945, 17.125606536865234, 1.1186909675598145, 800, 9.960077403212722e-05]
2023-02-08 00:44:58,916	32k	INFO	====> Epoch: 33
2023-02-08 00:45:26,435	32k	INFO	====> Epoch: 34
2023-02-08 00:45:53,812	32k	INFO	====> Epoch: 35
2023-02-08 00:46:21,356	32k	INFO	====> Epoch: 36
2023-02-08 00:46:48,799	32k	INFO	====> Epoch: 37
2023-02-08 00:47:16,457	32k	INFO	====> Epoch: 38
2023-02-08 00:47:44,001	32k	INFO	====> Epoch: 39
2023-02-08 00:48:11,678	32k	INFO	====> Epoch: 40
2023-02-08 00:48:15,870	32k	INFO	Train Epoch: 41 [0%]
2023-02-08 00:48:15,870	32k	INFO	[2.4844818115234375, 2.4094862937927246, 11.561107635498047, 17.241254806518555, 1.210862398147583, 1000, 9.950121682254156e-05]
2023-02-08 00:48:20,006	32k	INFO	Saving model and optimizer state at iteration 41 to ./logs\32k\G_1000.pth
2023-02-08 00:48:32,340	32k	INFO	Saving model and optimizer state at iteration 41 to ./logs\32k\D_1000.pth
2023-02-08 00:48:59,348	32k	INFO	====> Epoch: 41
2023-02-08 00:49:26,891	32k	INFO	====> Epoch: 42
2023-02-08 00:49:54,445	32k	INFO	====> Epoch: 43
2023-02-08 00:50:21,875	32k	INFO	====> Epoch: 44
2023-02-08 00:50:49,455	32k	INFO	====> Epoch: 45
2023-02-08 00:51:17,001	32k	INFO	====> Epoch: 46
2023-02-08 00:51:44,503	32k	INFO	====> Epoch: 47
2023-02-08 00:52:11,980	32k	INFO	====> Epoch: 48
2023-02-08 00:52:16,185	32k	INFO	Train Epoch: 49 [0%]
2023-02-08 00:52:16,185	32k	INFO	[2.3651785850524902, 2.958405017852783, 11.756336212158203, 14.511272430419922, 0.9403964281082153, 1200, 9.940175912662009e-05]
2023-02-08 00:52:39,736	32k	INFO	====> Epoch: 49
2023-02-08 00:53:07,187	32k	INFO	====> Epoch: 50
2023-02-08 00:53:34,666	32k	INFO	====> Epoch: 51
2023-02-08 00:54:02,179	32k	INFO	====> Epoch: 52
2023-02-08 00:54:29,681	32k	INFO	====> Epoch: 53
2023-02-08 00:54:57,369	32k	INFO	====> Epoch: 54
2023-02-08 00:55:24,980	32k	INFO	====> Epoch: 55
2023-02-08 00:55:52,500	32k	INFO	====> Epoch: 56
2023-02-08 00:55:56,664	32k	INFO	Train Epoch: 57 [0%]
2023-02-08 00:55:56,665	32k	INFO	[2.5327048301696777, 2.5028035640716553, 12.617253303527832, 16.362380981445312, 0.9042155146598816, 1400, 9.930240084489267e-05]
2023-02-08 00:56:20,156	32k	INFO	====> Epoch: 57
2023-02-08 00:56:47,634	32k	INFO	====> Epoch: 58
2023-02-08 00:57:15,126	32k	INFO	====> Epoch: 59
2023-02-08 00:57:42,815	32k	INFO	====> Epoch: 60
2023-02-08 00:58:10,348	32k	INFO	====> Epoch: 61
2023-02-08 00:58:37,967	32k	INFO	====> Epoch: 62
2023-02-08 00:59:05,616	32k	INFO	====> Epoch: 63
2023-02-08 00:59:33,127	32k	INFO	====> Epoch: 64
2023-02-08 00:59:37,408	32k	INFO	Train Epoch: 65 [0%]
2023-02-08 00:59:37,408	32k	INFO	[2.4551429748535156, 2.5653491020202637, 13.985135078430176, 19.509544372558594, 0.659581184387207, 1600, 9.92031418779886e-05]
2023-02-08 01:00:01,011	32k	INFO	====> Epoch: 65
2023-02-08 01:00:28,642	32k	INFO	====> Epoch: 66
2023-02-08 01:00:56,171	32k	INFO	====> Epoch: 67
2023-02-08 01:01:23,739	32k	INFO	====> Epoch: 68
2023-02-08 01:01:51,305	32k	INFO	====> Epoch: 69
2023-02-08 01:02:18,845	32k	INFO	====> Epoch: 70
2023-02-08 01:02:46,573	32k	INFO	====> Epoch: 71
2023-02-08 01:03:14,151	32k	INFO	====> Epoch: 72
2023-02-08 01:03:18,451	32k	INFO	Train Epoch: 73 [0%]
2023-02-08 01:03:18,452	32k	INFO	[2.391645669937134, 2.2672810554504395, 11.498495101928711, 13.918813705444336, 0.8199062347412109, 1800, 9.910398212663652e-05]
2023-02-08 01:03:41,988	32k	INFO	====> Epoch: 73
2023-02-08 01:04:09,631	32k	INFO	====> Epoch: 74
2023-02-08 01:04:37,269	32k	INFO	====> Epoch: 75
2023-02-08 01:05:04,809	32k	INFO	====> Epoch: 76
2023-02-08 01:05:32,384	32k	INFO	====> Epoch: 77
2023-02-08 01:05:59,840	32k	INFO	====> Epoch: 78
2023-02-08 01:06:27,386	32k	INFO	====> Epoch: 79
2023-02-08 01:06:54,982	32k	INFO	====> Epoch: 80
2023-02-08 01:06:59,245	32k	INFO	Train Epoch: 81 [0%]
2023-02-08 01:06:59,246	32k	INFO	[2.488656997680664, 2.440152406692505, 12.288729667663574, 18.921611785888672, 0.6661332249641418, 2000, 9.900492149166423e-05]
2023-02-08 01:07:03,445	32k	INFO	Saving model and optimizer state at iteration 81 to ./logs\32k\G_2000.pth
2023-02-08 01:07:17,194	32k	INFO	Saving model and optimizer state at iteration 81 to ./logs\32k\D_2000.pth
2023-02-08 01:07:44,394	32k	INFO	====> Epoch: 81
2023-02-08 01:08:12,102	32k	INFO	====> Epoch: 82
2023-02-08 01:08:39,808	32k	INFO	====> Epoch: 83
2023-02-08 01:09:07,589	32k	INFO	====> Epoch: 84
2023-02-08 01:09:35,103	32k	INFO	====> Epoch: 85
2023-02-08 01:10:02,989	32k	INFO	====> Epoch: 86
2023-02-08 01:10:30,603	32k	INFO	====> Epoch: 87
2023-02-08 01:10:58,197	32k	INFO	====> Epoch: 88
2023-02-08 01:11:02,464	32k	INFO	Train Epoch: 89 [0%]
2023-02-08 01:11:02,465	32k	INFO	[2.3939270973205566, 2.46858811378479, 13.294885635375977, 16.68073081970215, 0.662113606929779, 2200, 9.89059598739987e-05]
2023-02-08 01:11:26,064	32k	INFO	====> Epoch: 89
2023-02-08 01:11:53,596	32k	INFO	====> Epoch: 90
2023-02-08 01:12:21,222	32k	INFO	====> Epoch: 91
2023-02-08 01:12:48,821	32k	INFO	====> Epoch: 92
2023-02-08 01:13:16,448	32k	INFO	====> Epoch: 93
2023-02-08 01:13:43,986	32k	INFO	====> Epoch: 94
2023-02-08 01:14:11,563	32k	INFO	====> Epoch: 95
2023-02-08 01:14:39,190	32k	INFO	====> Epoch: 96
2023-02-08 01:14:43,420	32k	INFO	Train Epoch: 97 [0%]
2023-02-08 01:14:43,420	32k	INFO	[2.150566577911377, 3.0188939571380615, 12.833222389221191, 16.604434967041016, 0.6947590708732605, 2400, 9.880709717466598e-05]
2023-02-08 01:15:07,042	32k	INFO	====> Epoch: 97
2023-02-08 01:15:34,613	32k	INFO	====> Epoch: 98
2023-02-08 01:16:02,106	32k	INFO	====> Epoch: 99
2023-02-08 01:16:29,624	32k	INFO	====> Epoch: 100
2023-02-08 01:16:57,150	32k	INFO	====> Epoch: 101
2023-02-08 01:17:24,750	32k	INFO	====> Epoch: 102
2023-02-08 01:17:52,318	32k	INFO	====> Epoch: 103
2023-02-08 01:18:19,843	32k	INFO	====> Epoch: 104
2023-02-08 01:18:24,068	32k	INFO	Train Epoch: 105 [0%]
2023-02-08 01:18:24,068	32k	INFO	[2.3046746253967285, 2.7885234355926514, 14.991938591003418, 20.93079376220703, 0.614729642868042, 2600, 9.870833329479095e-05]
2023-02-08 01:18:47,601	32k	INFO	====> Epoch: 105
2023-02-08 01:19:15,206	32k	INFO	====> Epoch: 106
2023-02-08 01:19:42,712	32k	INFO	====> Epoch: 107
2023-02-08 01:20:10,236	32k	INFO	====> Epoch: 108
2023-02-08 01:20:37,736	32k	INFO	====> Epoch: 109
2023-02-08 01:21:05,257	32k	INFO	====> Epoch: 110
2023-02-08 01:21:32,931	32k	INFO	====> Epoch: 111
2023-02-08 01:22:00,606	32k	INFO	====> Epoch: 112
2023-02-08 01:22:04,825	32k	INFO	Train Epoch: 113 [0%]
2023-02-08 01:22:04,826	32k	INFO	[2.2699294090270996, 2.5340490341186523, 13.350852012634277, 19.905895233154297, 0.6435961723327637, 2800, 9.86096681355974e-05]
2023-02-08 01:22:28,371	32k	INFO	====> Epoch: 113
2023-02-08 01:22:55,765	32k	INFO	====> Epoch: 114
2023-02-08 01:23:23,067	32k	INFO	====> Epoch: 115
2023-02-08 01:23:50,545	32k	INFO	====> Epoch: 116
2023-02-08 01:24:18,055	32k	INFO	====> Epoch: 117
2023-02-08 01:24:45,595	32k	INFO	====> Epoch: 118
2023-02-08 01:25:13,121	32k	INFO	====> Epoch: 119
2023-02-08 01:25:40,615	32k	INFO	====> Epoch: 120
2023-02-08 01:25:44,920	32k	INFO	Train Epoch: 121 [0%]
2023-02-08 01:25:44,920	32k	INFO	[2.2879674434661865, 2.512779474258423, 11.604002952575684, 14.403181076049805, 0.6269619464874268, 3000, 9.851110159840781e-05]
2023-02-08 01:25:48,869	32k	INFO	Saving model and optimizer state at iteration 121 to ./logs\32k\G_3000.pth
2023-02-08 01:26:01,697	32k	INFO	Saving model and optimizer state at iteration 121 to ./logs\32k\D_3000.pth
2023-02-08 01:26:28,563	32k	INFO	====> Epoch: 121
2023-02-08 01:26:55,998	32k	INFO	====> Epoch: 122
2023-02-08 01:27:23,519	32k	INFO	====> Epoch: 123
2023-02-08 01:27:50,985	32k	INFO	====> Epoch: 124
2023-02-08 01:28:18,452	32k	INFO	====> Epoch: 125
2023-02-08 01:28:46,012	32k	INFO	====> Epoch: 126
2023-02-08 01:29:13,834	32k	INFO	====> Epoch: 127
2023-02-08 01:29:47,606	32k	INFO	====> Epoch: 128
2023-02-08 01:29:53,716	32k	INFO	Train Epoch: 129 [0%]
2023-02-08 01:29:53,716	32k	INFO	[2.3476948738098145, 2.6832549571990967, 12.173577308654785, 14.390022277832031, 0.5709079504013062, 3200, 9.841263358464336e-05]
2023-02-08 01:30:17,311	32k	INFO	====> Epoch: 129
2023-02-08 01:30:44,671	32k	INFO	====> Epoch: 130
2023-02-08 01:31:12,080	32k	INFO	====> Epoch: 131
2023-02-08 01:31:39,503	32k	INFO	====> Epoch: 132
2023-02-08 01:32:06,856	32k	INFO	====> Epoch: 133
2023-02-08 01:32:34,325	32k	INFO	====> Epoch: 134
2023-02-08 01:33:01,769	32k	INFO	====> Epoch: 135
2023-02-08 01:33:29,160	32k	INFO	====> Epoch: 136
2023-02-08 01:33:33,357	32k	INFO	Train Epoch: 137 [0%]
2023-02-08 01:33:33,358	32k	INFO	[2.4699456691741943, 2.245213747024536, 10.267316818237305, 14.215060234069824, 0.8876320719718933, 3400, 9.831426399582366e-05]
2023-02-08 01:33:56,826	32k	INFO	====> Epoch: 137
2023-02-08 01:34:24,259	32k	INFO	====> Epoch: 138
2023-02-08 01:34:51,916	32k	INFO	====> Epoch: 139
2023-02-08 01:35:19,313	32k	INFO	====> Epoch: 140
2023-02-08 01:35:46,705	32k	INFO	====> Epoch: 141
2023-02-08 01:36:14,059	32k	INFO	====> Epoch: 142
2023-02-08 01:36:41,524	32k	INFO	====> Epoch: 143
2023-02-08 01:37:08,907	32k	INFO	====> Epoch: 144
2023-02-08 01:37:13,047	32k	INFO	Train Epoch: 145 [0%]
2023-02-08 01:37:13,048	32k	INFO	[2.4514966011047363, 2.617189645767212, 13.121513366699219, 16.7535343170166, 1.0172922611236572, 3600, 9.821599273356685e-05]
2023-02-08 01:37:36,648	32k	INFO	====> Epoch: 145
2023-02-08 01:38:04,037	32k	INFO	====> Epoch: 146
2023-02-08 01:38:31,473	32k	INFO	====> Epoch: 147
2023-02-08 01:38:58,916	32k	INFO	====> Epoch: 148
2023-02-08 01:39:26,609	32k	INFO	====> Epoch: 149
2023-02-08 01:39:54,125	32k	INFO	====> Epoch: 150
2023-02-08 01:40:21,625	32k	INFO	====> Epoch: 151
2023-02-08 01:40:49,009	32k	INFO	====> Epoch: 152
2023-02-08 01:40:53,168	32k	INFO	Train Epoch: 153 [0%]
2023-02-08 01:40:53,169	32k	INFO	[2.52900767326355, 2.333554267883301, 10.38807487487793, 14.50957202911377, 0.8212802410125732, 3800, 9.811781969958938e-05]
2023-02-08 01:41:16,651	32k	INFO	====> Epoch: 153
2023-02-08 01:41:44,150	32k	INFO	====> Epoch: 154
2023-02-08 01:42:11,737	32k	INFO	====> Epoch: 155
2023-02-08 01:42:42,460	32k	INFO	====> Epoch: 156
2023-02-08 01:43:14,706	32k	INFO	====> Epoch: 157
2023-02-08 01:43:44,768	32k	INFO	====> Epoch: 158
2023-02-08 01:44:20,097	32k	INFO	====> Epoch: 159
2023-02-08 01:44:48,159	32k	INFO	====> Epoch: 160
2023-02-08 01:44:53,178	32k	INFO	Train Epoch: 161 [0%]
2023-02-08 01:44:53,179	32k	INFO	[2.4919075965881348, 2.389814853668213, 13.226146697998047, 16.700716018676758, 1.029375672340393, 4000, 9.801974479570593e-05]
2023-02-08 01:45:04,285	32k	INFO	Saving model and optimizer state at iteration 161 to ./logs\32k\G_4000.pth
2023-02-08 01:45:19,646	32k	INFO	Saving model and optimizer state at iteration 161 to ./logs\32k\D_4000.pth
2023-02-08 01:45:47,228	32k	INFO	====> Epoch: 161
2023-02-08 01:46:17,749	32k	INFO	====> Epoch: 162
2023-02-08 01:46:49,056	32k	INFO	====> Epoch: 163
2023-02-08 01:47:17,770	32k	INFO	====> Epoch: 164
2023-02-08 01:47:45,370	32k	INFO	====> Epoch: 165
2023-02-08 01:48:13,026	32k	INFO	====> Epoch: 166
2023-02-08 01:48:40,466	32k	INFO	====> Epoch: 167
2023-02-08 01:49:08,050	32k	INFO	====> Epoch: 168
2023-02-08 01:49:12,331	32k	INFO	Train Epoch: 169 [0%]
2023-02-08 01:49:12,331	32k	INFO	[2.3142940998077393, 2.4324283599853516, 12.159595489501953, 17.59638786315918, 0.769416093826294, 4200, 9.792176792382932e-05]
2023-02-08 01:49:36,072	32k	INFO	====> Epoch: 169
2023-02-08 01:50:03,728	32k	INFO	====> Epoch: 170
2023-02-08 01:50:31,198	32k	INFO	====> Epoch: 171
2023-02-08 01:50:58,681	32k	INFO	====> Epoch: 172
2023-02-08 01:51:26,136	32k	INFO	====> Epoch: 173
2023-02-08 01:51:53,632	32k	INFO	====> Epoch: 174
2023-02-08 01:52:21,340	32k	INFO	====> Epoch: 175
2023-02-08 01:52:48,989	32k	INFO	====> Epoch: 176
2023-02-08 01:52:53,220	32k	INFO	Train Epoch: 177 [0%]
2023-02-08 01:52:53,221	32k	INFO	[2.213582754135132, 2.7260608673095703, 15.374300003051758, 19.66493797302246, 0.734653115272522, 4400, 9.782388898597041e-05]
2023-02-08 01:53:17,093	32k	INFO	====> Epoch: 177
2023-02-08 01:53:44,608	32k	INFO	====> Epoch: 178
2023-02-08 01:54:12,669	32k	INFO	====> Epoch: 179
2023-02-08 01:54:40,101	32k	INFO	====> Epoch: 180
2023-02-08 01:55:07,539	32k	INFO	====> Epoch: 181
2023-02-08 01:55:35,006	32k	INFO	====> Epoch: 182
2023-02-08 01:56:02,544	32k	INFO	====> Epoch: 183
2023-02-08 01:56:29,982	32k	INFO	====> Epoch: 184
2023-02-08 01:56:34,114	32k	INFO	Train Epoch: 185 [0%]
2023-02-08 01:56:34,114	32k	INFO	[2.2458436489105225, 2.6102848052978516, 14.459127426147461, 18.571901321411133, 1.0122240781784058, 4600, 9.772610788423802e-05]
2023-02-08 01:56:57,582	32k	INFO	====> Epoch: 185
2023-02-08 01:57:25,099	32k	INFO	====> Epoch: 186
2023-02-08 01:57:52,549	32k	INFO	====> Epoch: 187
2023-02-08 01:58:19,952	32k	INFO	====> Epoch: 188
2023-02-08 01:58:47,258	32k	INFO	====> Epoch: 189
2023-02-08 01:59:14,689	32k	INFO	====> Epoch: 190
2023-02-08 01:59:42,098	32k	INFO	====> Epoch: 191
2023-02-08 02:00:09,804	32k	INFO	====> Epoch: 192
2023-02-08 02:00:14,040	32k	INFO	Train Epoch: 193 [0%]
2023-02-08 02:00:14,040	32k	INFO	[2.0943222045898438, 2.7952206134796143, 14.362919807434082, 18.717479705810547, 1.0674397945404053, 4800, 9.762842452083883e-05]
2023-02-08 02:00:37,544	32k	INFO	====> Epoch: 193
2023-02-08 02:01:05,158	32k	INFO	====> Epoch: 194
2023-02-08 02:01:32,659	32k	INFO	====> Epoch: 195
2023-02-08 02:02:00,171	32k	INFO	====> Epoch: 196
2023-02-08 02:02:27,591	32k	INFO	====> Epoch: 197
2023-02-08 02:02:55,120	32k	INFO	====> Epoch: 198
2023-02-08 02:03:22,633	32k	INFO	====> Epoch: 199
2023-02-08 02:03:50,191	32k	INFO	====> Epoch: 200
2023-02-08 02:03:54,412	32k	INFO	Train Epoch: 201 [0%]
2023-02-08 02:03:54,412	32k	INFO	[2.24735951423645, 2.5187952518463135, 12.315719604492188, 13.546217918395996, 0.9446309208869934, 5000, 9.753083879807726e-05]
2023-02-08 02:03:58,367	32k	INFO	Saving model and optimizer state at iteration 201 to ./logs\32k\G_5000.pth
2023-02-08 02:04:10,281	32k	INFO	Saving model and optimizer state at iteration 201 to ./logs\32k\D_5000.pth
2023-02-08 02:04:37,035	32k	INFO	====> Epoch: 201
2023-02-08 02:05:04,621	32k	INFO	====> Epoch: 202
2023-02-08 02:05:32,106	32k	INFO	====> Epoch: 203
2023-02-08 02:05:59,589	32k	INFO	====> Epoch: 204
2023-02-08 02:06:27,165	32k	INFO	====> Epoch: 205
2023-02-08 02:06:54,819	32k	INFO	====> Epoch: 206
2023-02-08 02:07:22,187	32k	INFO	====> Epoch: 207
2023-02-08 02:07:49,696	32k	INFO	====> Epoch: 208
2023-02-08 02:07:53,912	32k	INFO	Train Epoch: 209 [0%]
2023-02-08 02:07:53,912	32k	INFO	[2.396101951599121, 2.1859700679779053, 9.442489624023438, 9.831204414367676, 0.44546401500701904, 5200, 9.743335061835535e-05]
2023-02-08 02:08:17,420	32k	INFO	====> Epoch: 209
2023-02-08 02:08:44,968	32k	INFO	====> Epoch: 210
2023-02-08 02:09:12,480	32k	INFO	====> Epoch: 211
2023-02-08 02:09:39,981	32k	INFO	====> Epoch: 212
2023-02-08 02:10:07,490	32k	INFO	====> Epoch: 213
2023-02-08 02:10:34,935	32k	INFO	====> Epoch: 214
2023-02-08 02:11:02,321	32k	INFO	====> Epoch: 215
2023-02-08 02:11:29,781	32k	INFO	====> Epoch: 216
2023-02-08 02:11:33,957	32k	INFO	Train Epoch: 217 [0%]
2023-02-08 02:11:33,958	32k	INFO	[2.2515032291412354, 2.8531088829040527, 14.60402774810791, 19.92062759399414, 0.7069652080535889, 5400, 9.733595988417275e-05]
2023-02-08 02:11:57,489	32k	INFO	====> Epoch: 217
2023-02-08 02:12:24,987	32k	INFO	====> Epoch: 218
2023-02-08 02:12:52,651	32k	INFO	====> Epoch: 219
2023-02-08 02:13:20,024	32k	INFO	====> Epoch: 220
2023-02-08 02:13:47,432	32k	INFO	====> Epoch: 221
2023-02-08 02:14:14,685	32k	INFO	====> Epoch: 222
2023-02-08 02:14:41,959	32k	INFO	====> Epoch: 223
2023-02-08 02:15:09,351	32k	INFO	====> Epoch: 224
2023-02-08 02:15:13,575	32k	INFO	Train Epoch: 225 [0%]
2023-02-08 02:15:13,576	32k	INFO	[2.214473009109497, 2.610774040222168, 11.403099060058594, 12.443502426147461, 0.5211493968963623, 5600, 9.723866649812655e-05]
2023-02-08 02:15:37,044	32k	INFO	====> Epoch: 225
2023-02-08 02:16:04,395	32k	INFO	====> Epoch: 226
2023-02-08 02:16:31,750	32k	INFO	====> Epoch: 227
2023-02-08 02:16:59,035	32k	INFO	====> Epoch: 228
2023-02-08 02:17:26,476	32k	INFO	====> Epoch: 229
2023-02-08 02:17:53,738	32k	INFO	====> Epoch: 230
2023-02-08 02:18:20,919	32k	INFO	====> Epoch: 231
2023-02-08 02:18:48,198	32k	INFO	====> Epoch: 232
2023-02-08 02:18:52,346	32k	INFO	Train Epoch: 233 [0%]
2023-02-08 02:18:52,346	32k	INFO	[2.3441879749298096, 2.331740617752075, 9.990554809570312, 12.5416898727417, 0.9520589113235474, 5800, 9.714147036291117e-05]
2023-02-08 02:19:15,814	32k	INFO	====> Epoch: 233
2023-02-08 02:19:43,150	32k	INFO	====> Epoch: 234
2023-02-08 02:20:10,397	32k	INFO	====> Epoch: 235
2023-02-08 02:20:37,712	32k	INFO	====> Epoch: 236
2023-02-08 02:21:05,032	32k	INFO	====> Epoch: 237
2023-02-08 02:21:32,328	32k	INFO	====> Epoch: 238
2023-02-08 02:21:59,642	32k	INFO	====> Epoch: 239
2023-02-08 02:22:27,112	32k	INFO	====> Epoch: 240
2023-02-08 02:22:31,253	32k	INFO	Train Epoch: 241 [0%]
2023-02-08 02:22:31,253	32k	INFO	[2.5080859661102295, 1.9841022491455078, 7.942975997924805, 8.317468643188477, 0.2875758409500122, 6000, 9.704437138131832e-05]
2023-02-08 02:22:35,186	32k	INFO	Saving model and optimizer state at iteration 241 to ./logs\32k\G_6000.pth
2023-02-08 02:22:52,743	32k	INFO	Saving model and optimizer state at iteration 241 to ./logs\32k\D_6000.pth
2023-02-08 02:23:19,110	32k	INFO	====> Epoch: 241
2023-02-08 02:23:46,503	32k	INFO	====> Epoch: 242
2023-02-08 02:24:13,814	32k	INFO	====> Epoch: 243
2023-02-08 02:24:41,136	32k	INFO	====> Epoch: 244
2023-02-08 02:25:08,478	32k	INFO	====> Epoch: 245
2023-02-08 02:25:35,789	32k	INFO	====> Epoch: 246
2023-02-08 02:26:03,229	32k	INFO	====> Epoch: 247
2023-02-08 02:26:30,544	32k	INFO	====> Epoch: 248
2023-02-08 02:26:34,763	32k	INFO	Train Epoch: 249 [0%]
2023-02-08 02:26:34,763	32k	INFO	[2.452826738357544, 2.3427398204803467, 11.6181640625, 14.64543628692627, 0.8117032647132874, 6200, 9.694736945623688e-05]
2023-02-08 02:26:58,209	32k	INFO	====> Epoch: 249
2023-02-08 02:27:25,564	32k	INFO	====> Epoch: 250
2023-02-08 02:27:52,875	32k	INFO	====> Epoch: 251
2023-02-08 02:28:20,097	32k	INFO	====> Epoch: 252
2023-02-08 02:28:47,480	32k	INFO	====> Epoch: 253
2023-02-08 02:29:14,779	32k	INFO	====> Epoch: 254
2023-02-08 02:29:42,107	32k	INFO	====> Epoch: 255
2023-02-08 02:30:09,634	32k	INFO	====> Epoch: 256
2023-02-08 02:30:13,842	32k	INFO	Train Epoch: 257 [0%]
2023-02-08 02:30:13,842	32k	INFO	[2.4272546768188477, 2.2436978816986084, 9.946599006652832, 11.734719276428223, 0.7369458675384521, 6400, 9.685046449065278e-05]
2023-02-08 02:30:37,267	32k	INFO	====> Epoch: 257
2023-02-08 02:31:04,548	32k	INFO	====> Epoch: 258
2023-02-08 02:31:31,808	32k	INFO	====> Epoch: 259
2023-02-08 02:31:59,116	32k	INFO	====> Epoch: 260
2023-02-08 02:32:26,521	32k	INFO	====> Epoch: 261
2023-02-08 02:32:53,826	32k	INFO	====> Epoch: 262
2023-02-08 02:33:21,109	32k	INFO	====> Epoch: 263
2023-02-08 02:33:48,363	32k	INFO	====> Epoch: 264
2023-02-08 02:33:52,532	32k	INFO	Train Epoch: 265 [0%]
2023-02-08 02:33:52,532	32k	INFO	[2.3036022186279297, 2.266536235809326, 11.339153289794922, 11.697287559509277, 0.5002912878990173, 6600, 9.675365638764893e-05]
2023-02-08 02:34:16,078	32k	INFO	====> Epoch: 265
2023-02-08 02:34:43,563	32k	INFO	====> Epoch: 266
2023-02-08 02:35:11,059	32k	INFO	====> Epoch: 267
2023-02-08 02:35:38,371	32k	INFO	====> Epoch: 268
2023-02-08 02:36:05,730	32k	INFO	====> Epoch: 269
2023-02-08 02:36:33,042	32k	INFO	====> Epoch: 270
2023-02-08 02:37:00,381	32k	INFO	====> Epoch: 271
2023-02-08 02:37:27,702	32k	INFO	====> Epoch: 272
2023-02-08 02:37:31,902	32k	INFO	Train Epoch: 273 [0%]
2023-02-08 02:37:31,902	32k	INFO	[2.262617588043213, 2.50158953666687, 13.019706726074219, 15.875764846801758, 1.03751540184021, 6800, 9.665694505040515e-05]
2023-02-08 02:37:55,366	32k	INFO	====> Epoch: 273
2023-02-08 02:38:22,666	32k	INFO	====> Epoch: 274
2023-02-08 02:38:49,975	32k	INFO	====> Epoch: 275
2023-02-08 02:39:17,306	32k	INFO	====> Epoch: 276
2023-02-08 02:39:44,608	32k	INFO	====> Epoch: 277
2023-02-08 02:40:11,986	32k	INFO	====> Epoch: 278
2023-02-08 02:40:39,425	32k	INFO	====> Epoch: 279
2023-02-08 02:41:06,609	32k	INFO	====> Epoch: 280
2023-02-08 02:41:10,808	32k	INFO	Train Epoch: 281 [0%]
2023-02-08 02:41:10,809	32k	INFO	[2.162160634994507, 2.698219060897827, 14.393352508544922, 18.864028930664062, 1.0300859212875366, 7000, 9.656033038219798e-05]
2023-02-08 02:41:14,777	32k	INFO	Saving model and optimizer state at iteration 281 to ./logs\32k\G_7000.pth
2023-02-08 02:41:31,236	32k	INFO	Saving model and optimizer state at iteration 281 to ./logs\32k\D_7000.pth
2023-02-08 02:41:58,207	32k	INFO	====> Epoch: 281
2023-02-08 02:42:25,983	32k	INFO	====> Epoch: 282
2023-02-08 02:42:53,312	32k	INFO	====> Epoch: 283
2023-02-08 02:43:20,719	32k	INFO	====> Epoch: 284
2023-02-08 02:43:47,986	32k	INFO	====> Epoch: 285
2023-02-08 02:44:15,249	32k	INFO	====> Epoch: 286
2023-02-08 02:44:42,487	32k	INFO	====> Epoch: 287
2023-02-08 02:45:09,747	32k	INFO	====> Epoch: 288
2023-02-08 02:45:13,886	32k	INFO	Train Epoch: 289 [0%]
2023-02-08 02:45:13,886	32k	INFO	[2.010039806365967, 2.87096905708313, 12.889437675476074, 12.926807403564453, 0.6265214085578918, 7200, 9.646381228640066e-05]
2023-02-08 02:45:37,288	32k	INFO	====> Epoch: 289
2023-02-08 02:46:04,661	32k	INFO	====> Epoch: 290
2023-02-08 02:46:32,000	32k	INFO	====> Epoch: 291
2023-02-08 02:46:59,375	32k	INFO	====> Epoch: 292
2023-02-08 02:47:26,660	32k	INFO	====> Epoch: 293
2023-02-08 02:47:54,008	32k	INFO	====> Epoch: 294
2023-02-08 02:48:21,334	32k	INFO	====> Epoch: 295
2023-02-08 02:48:48,549	32k	INFO	====> Epoch: 296
2023-02-08 02:48:52,758	32k	INFO	Train Epoch: 297 [0%]
2023-02-08 02:48:52,758	32k	INFO	[2.342231273651123, 2.5635156631469727, 9.271632194519043, 9.908394813537598, 0.7690855860710144, 7400, 9.636739066648303e-05]
2023-02-08 02:49:16,175	32k	INFO	====> Epoch: 297
2023-02-08 02:49:43,599	32k	INFO	====> Epoch: 298
2023-02-08 02:50:11,085	32k	INFO	====> Epoch: 299
2023-02-08 02:50:38,433	32k	INFO	====> Epoch: 300
2023-02-08 02:51:05,715	32k	INFO	====> Epoch: 301
2023-02-08 02:51:33,068	32k	INFO	====> Epoch: 302
2023-02-08 02:52:00,325	32k	INFO	====> Epoch: 303
2023-02-08 02:52:27,805	32k	INFO	====> Epoch: 304
2023-02-08 02:52:32,033	32k	INFO	Train Epoch: 305 [0%]
2023-02-08 02:52:32,034	32k	INFO	[2.2463247776031494, 2.844965934753418, 12.248766899108887, 15.859850883483887, 0.5185592174530029, 7600, 9.627106542601141e-05]
2023-02-08 02:52:55,335	32k	INFO	====> Epoch: 305
2023-02-08 02:53:22,736	32k	INFO	====> Epoch: 306
2023-02-08 02:53:50,087	32k	INFO	====> Epoch: 307
2023-02-08 02:54:17,403	32k	INFO	====> Epoch: 308
2023-02-08 02:54:44,903	32k	INFO	====> Epoch: 309
2023-02-08 02:55:12,222	32k	INFO	====> Epoch: 310
2023-02-08 02:55:39,508	32k	INFO	====> Epoch: 311
2023-02-08 02:56:06,839	32k	INFO	====> Epoch: 312
2023-02-08 02:56:11,042	32k	INFO	Train Epoch: 313 [0%]
2023-02-08 02:56:11,042	32k	INFO	[2.121849536895752, 2.667703151702881, 12.128918647766113, 13.409639358520508, 0.6950944066047668, 7800, 9.617483646864849e-05]
2023-02-08 02:56:34,411	32k	INFO	====> Epoch: 313
2023-02-08 02:57:01,767	32k	INFO	====> Epoch: 314
2023-02-08 02:57:29,039	32k	INFO	====> Epoch: 315
2023-02-08 02:57:56,359	32k	INFO	====> Epoch: 316
2023-02-08 02:58:23,743	32k	INFO	====> Epoch: 317
2023-02-08 02:58:50,991	32k	INFO	====> Epoch: 318
2023-02-08 02:59:18,295	32k	INFO	====> Epoch: 319
2023-02-08 02:59:45,581	32k	INFO	====> Epoch: 320
2023-02-08 02:59:49,727	32k	INFO	Train Epoch: 321 [0%]
2023-02-08 02:59:49,727	32k	INFO	[2.147108316421509, 2.887037754058838, 12.949373245239258, 17.191295623779297, 0.8203359246253967, 8000, 9.60787036981533e-05]
2023-02-08 02:59:53,768	32k	INFO	Saving model and optimizer state at iteration 321 to ./logs\32k\G_8000.pth
2023-02-08 03:00:11,515	32k	INFO	Saving model and optimizer state at iteration 321 to ./logs\32k\D_8000.pth
2023-02-08 03:00:38,329	32k	INFO	====> Epoch: 321
2023-02-08 03:01:05,949	32k	INFO	====> Epoch: 322
2023-02-08 03:01:33,344	32k	INFO	====> Epoch: 323
2023-02-08 03:02:00,520	32k	INFO	====> Epoch: 324
2023-02-08 03:02:27,991	32k	INFO	====> Epoch: 325
2023-02-08 03:02:55,339	32k	INFO	====> Epoch: 326
2023-02-08 03:03:22,685	32k	INFO	====> Epoch: 327
2023-02-08 03:03:49,897	32k	INFO	====> Epoch: 328
2023-02-08 03:03:54,064	32k	INFO	Train Epoch: 329 [0%]
2023-02-08 03:03:54,065	32k	INFO	[2.4366536140441895, 2.547623872756958, 11.483694076538086, 15.661296844482422, 0.8165431618690491, 8200, 9.5982667018381e-05]
2023-02-08 03:04:17,416	32k	INFO	====> Epoch: 329
2023-02-08 03:04:44,737	32k	INFO	====> Epoch: 330
2023-02-08 03:05:12,041	32k	INFO	====> Epoch: 331
2023-02-08 03:05:39,298	32k	INFO	====> Epoch: 332
2023-02-08 03:06:06,632	32k	INFO	====> Epoch: 333
2023-02-08 03:06:33,914	32k	INFO	====> Epoch: 334
2023-02-08 03:07:01,301	32k	INFO	====> Epoch: 335
2023-02-08 03:07:28,602	32k	INFO	====> Epoch: 336
2023-02-08 03:07:32,794	32k	INFO	Train Epoch: 337 [0%]
2023-02-08 03:07:32,795	32k	INFO	[2.2412776947021484, 2.6190314292907715, 10.803937911987305, 11.905354499816895, 0.4731971025466919, 8400, 9.588672633328296e-05]
2023-02-08 03:07:56,348	32k	INFO	====> Epoch: 337
2023-02-08 03:08:23,691	32k	INFO	====> Epoch: 338
2023-02-08 03:08:50,871	32k	INFO	====> Epoch: 339
2023-02-08 03:09:18,169	32k	INFO	====> Epoch: 340
2023-02-08 03:09:45,504	32k	INFO	====> Epoch: 341
2023-02-08 03:10:12,816	32k	INFO	====> Epoch: 342
2023-02-08 03:10:40,197	32k	INFO	====> Epoch: 343
2023-02-08 03:11:07,614	32k	INFO	====> Epoch: 344
2023-02-08 03:11:11,836	32k	INFO	Train Epoch: 345 [0%]
2023-02-08 03:11:11,836	32k	INFO	[2.2570993900299072, 2.4331893920898438, 11.056769371032715, 14.116981506347656, 0.9036707282066345, 8600, 9.579088154690645e-05]
2023-02-08 03:11:35,208	32k	INFO	====> Epoch: 345
2023-02-08 03:12:02,448	32k	INFO	====> Epoch: 346
2023-02-08 03:12:29,808	32k	INFO	====> Epoch: 347
2023-02-08 03:12:57,134	32k	INFO	====> Epoch: 348
2023-02-08 03:13:24,557	32k	INFO	====> Epoch: 349
2023-02-08 03:13:51,882	32k	INFO	====> Epoch: 350
2023-02-08 03:14:19,094	32k	INFO	====> Epoch: 351
2023-02-08 03:14:46,395	32k	INFO	====> Epoch: 352
2023-02-08 03:14:50,582	32k	INFO	Train Epoch: 353 [0%]
2023-02-08 03:14:50,583	32k	INFO	[2.287942886352539, 2.57476544380188, 11.438376426696777, 14.167613983154297, 0.9073778986930847, 8800, 9.569513256339471e-05]
2023-02-08 03:15:13,964	32k	INFO	====> Epoch: 353
2023-02-08 03:15:41,214	32k	INFO	====> Epoch: 354
2023-02-08 03:16:08,462	32k	INFO	====> Epoch: 355
2023-02-08 03:16:35,711	32k	INFO	====> Epoch: 356
2023-02-08 03:17:03,099	32k	INFO	====> Epoch: 357
2023-02-08 03:17:30,332	32k	INFO	====> Epoch: 358
2023-02-08 03:17:57,695	32k	INFO	====> Epoch: 359
2023-02-08 03:18:25,002	32k	INFO	====> Epoch: 360
2023-02-08 03:18:29,220	32k	INFO	Train Epoch: 361 [0%]
2023-02-08 03:18:29,220	32k	INFO	[2.2878177165985107, 2.54375958442688, 12.13935661315918, 15.77564525604248, 1.0138167142868042, 9000, 9.559947928698674e-05]
2023-02-08 03:18:33,143	32k	INFO	Saving model and optimizer state at iteration 361 to ./logs\32k\G_9000.pth
2023-02-08 03:18:48,001	32k	INFO	Saving model and optimizer state at iteration 361 to ./logs\32k\D_9000.pth
2023-02-08 03:19:15,037	32k	INFO	====> Epoch: 361
2023-02-08 03:19:42,573	32k	INFO	====> Epoch: 362
2023-02-08 03:20:09,959	32k	INFO	====> Epoch: 363
2023-02-08 03:20:37,214	32k	INFO	====> Epoch: 364
2023-02-08 03:21:04,435	32k	INFO	====> Epoch: 365
2023-02-08 03:21:31,700	32k	INFO	====> Epoch: 366
2023-02-08 03:21:59,107	32k	INFO	====> Epoch: 367
2023-02-08 03:22:26,359	32k	INFO	====> Epoch: 368
2023-02-08 03:22:30,508	32k	INFO	Train Epoch: 369 [0%]
2023-02-08 03:22:30,508	32k	INFO	[2.3314597606658936, 2.450019598007202, 12.10545825958252, 14.815366744995117, 0.7326988577842712, 9200, 9.550392162201736e-05]
2023-02-08 03:22:53,877	32k	INFO	====> Epoch: 369
2023-02-08 03:23:21,207	32k	INFO	====> Epoch: 370
2023-02-08 03:23:48,529	32k	INFO	====> Epoch: 371
2023-02-08 03:24:15,906	32k	INFO	====> Epoch: 372
2023-02-08 03:24:43,215	32k	INFO	====> Epoch: 373
2023-02-08 03:25:10,648	32k	INFO	====> Epoch: 374
2023-02-08 03:25:37,891	32k	INFO	====> Epoch: 375
2023-02-08 03:26:05,145	32k	INFO	====> Epoch: 376
2023-02-08 03:26:09,287	32k	INFO	Train Epoch: 377 [0%]
2023-02-08 03:26:09,288	32k	INFO	[2.2828500270843506, 2.561128616333008, 11.394051551818848, 13.558812141418457, 0.5335276126861572, 9400, 9.540845947291691e-05]
2023-02-08 03:26:32,841	32k	INFO	====> Epoch: 377
2023-02-08 03:27:00,053	32k	INFO	====> Epoch: 378
2023-02-08 03:27:27,407	32k	INFO	====> Epoch: 379
2023-02-08 03:27:54,754	32k	INFO	====> Epoch: 380
2023-02-08 03:28:22,080	32k	INFO	====> Epoch: 381
2023-02-08 03:28:49,448	32k	INFO	====> Epoch: 382
2023-02-08 03:29:16,704	32k	INFO	====> Epoch: 383
2023-02-08 03:29:44,130	32k	INFO	====> Epoch: 384
2023-02-08 03:29:48,337	32k	INFO	Train Epoch: 385 [0%]
2023-02-08 03:29:48,337	32k	INFO	[2.282940149307251, 2.5302491188049316, 9.065263748168945, 10.31766128540039, 0.8583642244338989, 9600, 9.53130927442113e-05]
2023-02-08 03:30:11,735	32k	INFO	====> Epoch: 385
2023-02-08 03:30:38,976	32k	INFO	====> Epoch: 386
2023-02-08 03:31:06,205	32k	INFO	====> Epoch: 387
2023-02-08 03:31:33,556	32k	INFO	====> Epoch: 388
2023-02-08 03:32:01,044	32k	INFO	====> Epoch: 389
2023-02-08 03:32:31,635	32k	INFO	====> Epoch: 390
2023-02-08 03:33:01,273	32k	INFO	====> Epoch: 391
2023-02-08 03:33:33,118	32k	INFO	====> Epoch: 392
2023-02-08 03:33:40,244	32k	INFO	Train Epoch: 393 [0%]
2023-02-08 03:33:40,245	32k	INFO	[2.253279447555542, 2.5851097106933594, 11.772272109985352, 14.179906845092773, 0.6320822238922119, 9800, 9.52178213405219e-05]
2023-02-08 03:34:04,139	32k	INFO	====> Epoch: 393
2023-02-08 03:34:33,223	32k	INFO	====> Epoch: 394
2023-02-08 03:35:04,641	32k	INFO	====> Epoch: 395
2023-02-08 03:35:32,438	32k	INFO	====> Epoch: 396
2023-02-08 03:36:02,881	32k	INFO	====> Epoch: 397
2023-02-08 03:36:35,050	32k	INFO	====> Epoch: 398
2023-02-08 03:37:06,190	32k	INFO	====> Epoch: 399
2023-02-08 03:37:37,465	32k	INFO	====> Epoch: 400
2023-02-08 03:37:41,732	32k	INFO	Train Epoch: 401 [0%]
2023-02-08 03:37:41,733	32k	INFO	[2.0978877544403076, 2.921889066696167, 13.209803581237793, 14.5946626663208, 0.7456355690956116, 10000, 9.512264516656537e-05]
2023-02-08 03:37:45,672	32k	INFO	Saving model and optimizer state at iteration 401 to ./logs\32k\G_10000.pth
2023-02-08 03:38:03,806	32k	INFO	Saving model and optimizer state at iteration 401 to ./logs\32k\D_10000.pth
2023-02-08 03:38:30,452	32k	INFO	====> Epoch: 401
2023-02-08 03:38:57,975	32k	INFO	====> Epoch: 402
2023-02-08 03:39:25,401	32k	INFO	====> Epoch: 403
2023-02-08 03:39:52,860	32k	INFO	====> Epoch: 404
2023-02-08 03:40:20,076	32k	INFO	====> Epoch: 405
2023-02-08 03:40:47,348	32k	INFO	====> Epoch: 406
2023-02-08 03:41:14,578	32k	INFO	====> Epoch: 407
2023-02-08 03:41:41,742	32k	INFO	====> Epoch: 408
2023-02-08 03:41:45,902	32k	INFO	Train Epoch: 409 [0%]
2023-02-08 03:41:45,902	32k	INFO	[2.3240926265716553, 2.384178876876831, 11.103528022766113, 14.508912086486816, 0.6930555105209351, 10200, 9.502756412715364e-05]
2023-02-08 03:42:09,443	32k	INFO	====> Epoch: 409
2023-02-08 03:42:36,834	32k	INFO	====> Epoch: 410
2023-02-08 03:43:04,583	32k	INFO	====> Epoch: 411
2023-02-08 03:43:31,993	32k	INFO	====> Epoch: 412
2023-02-08 03:43:59,343	32k	INFO	====> Epoch: 413
2023-02-08 03:44:26,812	32k	INFO	====> Epoch: 414
2023-02-08 03:44:54,129	32k	INFO	====> Epoch: 415
2023-02-08 03:45:21,453	32k	INFO	====> Epoch: 416
2023-02-08 03:45:25,645	32k	INFO	Train Epoch: 417 [0%]
2023-02-08 03:45:25,645	32k	INFO	[2.2724084854125977, 2.547604560852051, 12.439881324768066, 16.174009323120117, 0.37340259552001953, 10400, 9.493257812719373e-05]
2023-02-08 03:45:49,049	32k	INFO	====> Epoch: 417
2023-02-08 03:46:16,366	32k	INFO	====> Epoch: 418
2023-02-08 03:46:43,759	32k	INFO	====> Epoch: 419
2023-02-08 03:47:11,059	32k	INFO	====> Epoch: 420
2023-02-08 03:47:38,358	32k	INFO	====> Epoch: 421
2023-02-08 03:48:05,671	32k	INFO	====> Epoch: 422
2023-02-08 03:48:32,981	32k	INFO	====> Epoch: 423
2023-02-08 03:49:00,269	32k	INFO	====> Epoch: 424
2023-02-08 03:49:04,486	32k	INFO	Train Epoch: 425 [0%]
2023-02-08 03:49:04,486	32k	INFO	[2.3226478099823, 2.7721643447875977, 11.367083549499512, 11.998846054077148, 0.6971189975738525, 10600, 9.483768707168782e-05]
2023-02-08 03:49:27,821	32k	INFO	====> Epoch: 425
2023-02-08 03:49:55,141	32k	INFO	====> Epoch: 426
2023-02-08 03:50:22,420	32k	INFO	====> Epoch: 427
2023-02-08 03:50:49,821	32k	INFO	====> Epoch: 428
2023-02-08 03:51:17,024	32k	INFO	====> Epoch: 429
2023-02-08 03:51:44,387	32k	INFO	====> Epoch: 430
2023-02-08 03:52:11,690	32k	INFO	====> Epoch: 431
2023-02-08 03:52:39,073	32k	INFO	====> Epoch: 432
2023-02-08 03:52:43,247	32k	INFO	Train Epoch: 433 [0%]
2023-02-08 03:52:43,248	32k	INFO	[2.32169508934021, 2.7997512817382812, 12.397420883178711, 14.081243515014648, 0.33711162209510803, 10800, 9.474289086573296e-05]
2023-02-08 03:53:06,745	32k	INFO	====> Epoch: 433
2023-02-08 03:53:34,017	32k	INFO	====> Epoch: 434
2023-02-08 03:54:01,327	32k	INFO	====> Epoch: 435
2023-02-08 03:54:28,677	32k	INFO	====> Epoch: 436
2023-02-08 03:54:55,921	32k	INFO	====> Epoch: 437
2023-02-08 03:55:23,224	32k	INFO	====> Epoch: 438
2023-02-08 03:55:50,468	32k	INFO	====> Epoch: 439
2023-02-08 03:56:17,764	32k	INFO	====> Epoch: 440
2023-02-08 03:56:21,936	32k	INFO	Train Epoch: 441 [0%]
2023-02-08 03:56:21,936	32k	INFO	[2.2733325958251953, 2.6120946407318115, 12.558866500854492, 17.228044509887695, 0.8264510035514832, 11000, 9.464818941452107e-05]
2023-02-08 03:56:25,994	32k	INFO	Saving model and optimizer state at iteration 441 to ./logs\32k\G_11000.pth
2023-02-08 03:56:41,195	32k	INFO	Saving model and optimizer state at iteration 441 to ./logs\32k\D_11000.pth
2023-02-08 03:57:07,860	32k	INFO	====> Epoch: 441
2023-02-08 03:57:35,550	32k	INFO	====> Epoch: 442
2023-02-08 03:58:02,900	32k	INFO	====> Epoch: 443
2023-02-08 03:58:30,228	32k	INFO	====> Epoch: 444
2023-02-08 03:58:57,589	32k	INFO	====> Epoch: 445
2023-02-08 03:59:24,927	32k	INFO	====> Epoch: 446
2023-02-08 03:59:52,229	32k	INFO	====> Epoch: 447
2023-02-08 04:00:19,539	32k	INFO	====> Epoch: 448
2023-02-08 04:00:23,751	32k	INFO	Train Epoch: 449 [0%]
2023-02-08 04:00:23,751	32k	INFO	[2.05672025680542, 2.8778491020202637, 14.132246017456055, 17.638010025024414, 0.6873013973236084, 11200, 9.455358262333887e-05]
2023-02-08 04:00:47,253	32k	INFO	====> Epoch: 449
2023-02-08 04:01:14,509	32k	INFO	====> Epoch: 450
2023-02-08 04:01:41,879	32k	INFO	====> Epoch: 451
2023-02-08 04:02:09,197	32k	INFO	====> Epoch: 452
2023-02-08 04:02:36,443	32k	INFO	====> Epoch: 453
2023-02-08 04:03:03,685	32k	INFO	====> Epoch: 454
2023-02-08 04:03:30,992	32k	INFO	====> Epoch: 455
2023-02-08 04:03:58,391	32k	INFO	====> Epoch: 456
2023-02-08 04:04:02,589	32k	INFO	Train Epoch: 457 [0%]
2023-02-08 04:04:02,590	32k	INFO	[2.292281150817871, 2.4880197048187256, 10.46784496307373, 10.515823364257812, 0.9686731696128845, 11400, 9.445907039756771e-05]
2023-02-08 04:04:26,036	32k	INFO	====> Epoch: 457
2023-02-08 04:04:53,426	32k	INFO	====> Epoch: 458
2023-02-08 04:05:20,706	32k	INFO	====> Epoch: 459
2023-02-08 04:05:47,979	32k	INFO	====> Epoch: 460
2023-02-08 04:06:15,254	32k	INFO	====> Epoch: 461
2023-02-08 04:06:42,637	32k	INFO	====> Epoch: 462
2023-02-08 04:07:10,007	32k	INFO	====> Epoch: 463
2023-02-08 04:07:37,375	32k	INFO	====> Epoch: 464
2023-02-08 04:07:41,577	32k	INFO	Train Epoch: 465 [0%]
2023-02-08 04:07:41,577	32k	INFO	[2.030771017074585, 2.7482311725616455, 13.505212783813477, 16.34544563293457, 0.7294604778289795, 11600, 9.436465264268356e-05]
2023-02-08 04:08:04,996	32k	INFO	====> Epoch: 465
2023-02-08 04:08:32,368	32k	INFO	====> Epoch: 466
2023-02-08 04:08:59,603	32k	INFO	====> Epoch: 467
2023-02-08 04:09:26,876	32k	INFO	====> Epoch: 468
2023-02-08 04:09:54,067	32k	INFO	====> Epoch: 469
2023-02-08 04:10:21,335	32k	INFO	====> Epoch: 470
2023-02-08 04:10:48,629	32k	INFO	====> Epoch: 471
2023-02-08 04:11:15,864	32k	INFO	====> Epoch: 472
2023-02-08 04:11:20,074	32k	INFO	Train Epoch: 473 [0%]
2023-02-08 04:11:20,074	32k	INFO	[2.159066915512085, 2.8633785247802734, 10.3993558883667, 12.172042846679688, 0.7695336937904358, 11800, 9.427032926425684e-05]
2023-02-08 04:11:43,449	32k	INFO	====> Epoch: 473
2023-02-08 04:12:10,691	32k	INFO	====> Epoch: 474
2023-02-08 04:12:37,987	32k	INFO	====> Epoch: 475
2023-02-08 04:13:05,356	32k	INFO	====> Epoch: 476
2023-02-08 04:13:32,564	32k	INFO	====> Epoch: 477
2023-02-08 04:13:59,852	32k	INFO	====> Epoch: 478
2023-02-08 04:14:27,177	32k	INFO	====> Epoch: 479
2023-02-08 04:14:54,499	32k	INFO	====> Epoch: 480
2023-02-08 04:14:58,688	32k	INFO	Train Epoch: 481 [0%]
2023-02-08 04:14:58,689	32k	INFO	[2.2857413291931152, 2.43095326423645, 10.681792259216309, 11.979484558105469, 0.5985100269317627, 12000, 9.417610016795242e-05]
2023-02-08 04:15:02,599	32k	INFO	Saving model and optimizer state at iteration 481 to ./logs\32k\G_12000.pth
2023-02-08 04:15:18,566	32k	INFO	Saving model and optimizer state at iteration 481 to ./logs\32k\D_12000.pth
2023-02-08 04:15:45,231	32k	INFO	====> Epoch: 481
2023-02-08 04:16:12,980	32k	INFO	====> Epoch: 482
2023-02-08 04:16:40,361	32k	INFO	====> Epoch: 483
2023-02-08 04:17:07,855	32k	INFO	====> Epoch: 484
2023-02-08 04:17:35,478	32k	INFO	====> Epoch: 485
2023-02-08 04:18:03,150	32k	INFO	====> Epoch: 486
2023-02-08 04:18:30,403	32k	INFO	====> Epoch: 487
2023-02-08 04:18:57,636	32k	INFO	====> Epoch: 488
2023-02-08 04:19:01,812	32k	INFO	Train Epoch: 489 [0%]
2023-02-08 04:19:01,813	32k	INFO	[2.2812325954437256, 2.575956344604492, 11.178587913513184, 11.532303810119629, 0.8416074514389038, 12200, 9.408196525952938e-05]
2023-02-08 04:19:25,163	32k	INFO	====> Epoch: 489
2023-02-08 04:19:52,558	32k	INFO	====> Epoch: 490
2023-02-08 04:20:19,879	32k	INFO	====> Epoch: 491
2023-02-08 04:20:47,126	32k	INFO	====> Epoch: 492
2023-02-08 04:21:14,376	32k	INFO	====> Epoch: 493
2023-02-08 04:21:41,599	32k	INFO	====> Epoch: 494
2023-02-08 04:22:08,815	32k	INFO	====> Epoch: 495
2023-02-08 04:22:36,071	32k	INFO	====> Epoch: 496
2023-02-08 04:22:40,329	32k	INFO	Train Epoch: 497 [0%]
2023-02-08 04:22:40,329	32k	INFO	[2.1231112480163574, 2.779900312423706, 12.488746643066406, 14.153047561645508, 0.9481232762336731, 12400, 9.398792444484102e-05]
2023-02-08 04:23:03,768	32k	INFO	====> Epoch: 497
2023-02-08 04:23:30,982	32k	INFO	====> Epoch: 498
2023-02-08 04:23:58,315	32k	INFO	====> Epoch: 499
2023-02-08 04:24:25,692	32k	INFO	====> Epoch: 500
2023-02-08 04:24:53,014	32k	INFO	====> Epoch: 501
2023-02-08 04:25:20,371	32k	INFO	====> Epoch: 502
2023-02-08 04:25:47,636	32k	INFO	====> Epoch: 503
2023-02-08 04:26:14,927	32k	INFO	====> Epoch: 504
2023-02-08 04:26:19,144	32k	INFO	Train Epoch: 505 [0%]
2023-02-08 04:26:19,144	32k	INFO	[2.0394186973571777, 2.803391456604004, 11.954682350158691, 10.25994873046875, 0.9675759077072144, 12600, 9.389397762983476e-05]
2023-02-08 04:26:42,576	32k	INFO	====> Epoch: 505
2023-02-08 04:27:09,825	32k	INFO	====> Epoch: 506
2023-02-08 04:27:37,051	32k	INFO	====> Epoch: 507
2023-02-08 04:28:04,398	32k	INFO	====> Epoch: 508
2023-02-08 04:28:31,776	32k	INFO	====> Epoch: 509
2023-02-08 04:28:59,056	32k	INFO	====> Epoch: 510
2023-02-08 04:29:26,325	32k	INFO	====> Epoch: 511
2023-02-08 04:29:53,542	32k	INFO	====> Epoch: 512
2023-02-08 04:29:57,734	32k	INFO	Train Epoch: 513 [0%]
2023-02-08 04:29:57,735	32k	INFO	[2.1518046855926514, 2.7246832847595215, 12.271919250488281, 16.132497787475586, 0.7002079486846924, 12800, 9.380012472055207e-05]
2023-02-08 04:30:21,108	32k	INFO	====> Epoch: 513
2023-02-08 04:30:48,377	32k	INFO	====> Epoch: 514
2023-02-08 04:31:15,754	32k	INFO	====> Epoch: 515
2023-02-08 04:31:42,984	32k	INFO	====> Epoch: 516
2023-02-08 04:32:10,304	32k	INFO	====> Epoch: 517
2023-02-08 04:32:37,670	32k	INFO	====> Epoch: 518
2023-02-08 04:33:04,973	32k	INFO	====> Epoch: 519
2023-02-08 04:33:32,308	32k	INFO	====> Epoch: 520
2023-02-08 04:33:36,488	32k	INFO	Train Epoch: 521 [0%]
2023-02-08 04:33:36,489	32k	INFO	[2.4601314067840576, 2.80077862739563, 11.18460464477539, 11.13083267211914, 0.8962857723236084, 13000, 9.370636562312829e-05]
2023-02-08 04:33:40,415	32k	INFO	Saving model and optimizer state at iteration 521 to ./logs\32k\G_13000.pth
2023-02-08 04:33:55,731	32k	INFO	Saving model and optimizer state at iteration 521 to ./logs\32k\D_13000.pth
2023-02-08 04:34:22,123	32k	INFO	====> Epoch: 521
2023-02-08 04:34:49,816	32k	INFO	====> Epoch: 522
2023-02-08 04:35:17,170	32k	INFO	====> Epoch: 523
2023-02-08 04:35:44,543	32k	INFO	====> Epoch: 524
2023-02-08 04:36:11,899	32k	INFO	====> Epoch: 525
2023-02-08 04:36:39,083	32k	INFO	====> Epoch: 526
2023-02-08 04:37:06,494	32k	INFO	====> Epoch: 527
2023-02-08 04:37:33,871	32k	INFO	====> Epoch: 528
2023-02-08 04:37:38,051	32k	INFO	Train Epoch: 529 [0%]
2023-02-08 04:37:38,051	32k	INFO	[2.1754751205444336, 2.545199394226074, 11.565674781799316, 13.709518432617188, 0.35325658321380615, 13200, 9.361270024379255e-05]
2023-02-08 04:38:01,464	32k	INFO	====> Epoch: 529
2023-02-08 04:38:28,853	32k	INFO	====> Epoch: 530
2023-02-08 04:38:56,178	32k	INFO	====> Epoch: 531
2023-02-08 04:39:23,438	32k	INFO	====> Epoch: 532
2023-02-08 04:39:50,870	32k	INFO	====> Epoch: 533
2023-02-08 04:40:18,126	32k	INFO	====> Epoch: 534
2023-02-08 04:40:45,343	32k	INFO	====> Epoch: 535
2023-02-08 04:41:12,717	32k	INFO	====> Epoch: 536
2023-02-08 04:41:16,914	32k	INFO	Train Epoch: 537 [0%]
2023-02-08 04:41:16,914	32k	INFO	[2.2263054847717285, 2.4256317615509033, 10.050114631652832, 10.265143394470215, 0.8538156747817993, 13400, 9.351912848886779e-05]
2023-02-08 04:41:40,305	32k	INFO	====> Epoch: 537
2023-02-08 04:42:07,585	32k	INFO	====> Epoch: 538
2023-02-08 04:42:34,836	32k	INFO	====> Epoch: 539
2023-02-08 04:43:02,134	32k	INFO	====> Epoch: 540
2023-02-08 04:43:29,398	32k	INFO	====> Epoch: 541
2023-02-08 04:43:56,718	32k	INFO	====> Epoch: 542
2023-02-08 04:44:24,154	32k	INFO	====> Epoch: 543
2023-02-08 04:44:51,475	32k	INFO	====> Epoch: 544
2023-02-08 04:44:55,643	32k	INFO	Train Epoch: 545 [0%]
2023-02-08 04:44:55,644	32k	INFO	[2.2277936935424805, 2.676403522491455, 11.242952346801758, 16.341636657714844, 0.5803546905517578, 13600, 9.342565026477056e-05]
2023-02-08 04:45:19,083	32k	INFO	====> Epoch: 545
2023-02-08 04:45:46,402	32k	INFO	====> Epoch: 546
2023-02-08 04:46:13,844	32k	INFO	====> Epoch: 547
2023-02-08 04:46:41,069	32k	INFO	====> Epoch: 548
2023-02-08 04:47:08,245	32k	INFO	====> Epoch: 549
2023-02-08 04:47:35,560	32k	INFO	====> Epoch: 550
2023-02-08 04:48:02,885	32k	INFO	====> Epoch: 551
2023-02-08 04:48:30,128	32k	INFO	====> Epoch: 552
2023-02-08 04:48:34,283	32k	INFO	Train Epoch: 553 [0%]
2023-02-08 04:48:34,283	32k	INFO	[2.1541035175323486, 2.7857322692871094, 10.475933074951172, 11.850566864013672, 0.690360426902771, 13800, 9.33322654780109e-05]
2023-02-08 04:48:57,648	32k	INFO	====> Epoch: 553
2023-02-08 04:49:24,855	32k	INFO	====> Epoch: 554
2023-02-08 04:49:52,207	32k	INFO	====> Epoch: 555
2023-02-08 04:50:19,536	32k	INFO	====> Epoch: 556
2023-02-08 04:50:46,969	32k	INFO	====> Epoch: 557
2023-02-08 04:51:14,359	32k	INFO	====> Epoch: 558
2023-02-08 04:51:41,807	32k	INFO	====> Epoch: 559
2023-02-08 04:52:09,046	32k	INFO	====> Epoch: 560
2023-02-08 04:52:13,221	32k	INFO	Train Epoch: 561 [0%]
2023-02-08 04:52:13,221	32k	INFO	[2.2220325469970703, 2.7612452507019043, 12.211030960083008, 14.910235404968262, 0.8933442234992981, 14000, 9.323897403519238e-05]
2023-02-08 04:52:17,118	32k	INFO	Saving model and optimizer state at iteration 561 to ./logs\32k\G_14000.pth
2023-02-08 04:52:31,973	32k	INFO	Saving model and optimizer state at iteration 561 to ./logs\32k\D_14000.pth
2023-02-08 04:52:58,736	32k	INFO	====> Epoch: 561
2023-02-08 04:53:26,367	32k	INFO	====> Epoch: 562
2023-02-08 04:53:53,728	32k	INFO	====> Epoch: 563
2023-02-08 04:54:21,084	32k	INFO	====> Epoch: 564
2023-02-08 04:54:48,408	32k	INFO	====> Epoch: 565
2023-02-08 04:55:15,650	32k	INFO	====> Epoch: 566
2023-02-08 04:55:42,985	32k	INFO	====> Epoch: 567
2023-02-08 04:56:10,412	32k	INFO	====> Epoch: 568
2023-02-08 04:56:14,687	32k	INFO	Train Epoch: 569 [0%]
2023-02-08 04:56:14,688	32k	INFO	[2.1629810333251953, 2.7359557151794434, 12.486958503723145, 14.179983139038086, 0.7250053882598877, 14200, 9.314577584301187e-05]
2023-02-08 04:56:38,086	32k	INFO	====> Epoch: 569
2023-02-08 04:57:05,357	32k	INFO	====> Epoch: 570
2023-02-08 04:57:32,542	32k	INFO	====> Epoch: 571
2023-02-08 04:57:59,812	32k	INFO	====> Epoch: 572
2023-02-08 04:58:26,978	32k	INFO	====> Epoch: 573
2023-02-08 04:58:54,267	32k	INFO	====> Epoch: 574
2023-02-08 04:59:21,504	32k	INFO	====> Epoch: 575
2023-02-08 04:59:48,893	32k	INFO	====> Epoch: 576
2023-02-08 04:59:53,203	32k	INFO	Train Epoch: 577 [0%]
2023-02-08 04:59:53,204	32k	INFO	[2.1822826862335205, 2.742067337036133, 12.48687744140625, 14.121838569641113, 0.3434555232524872, 14400, 9.305267080825953e-05]
2023-02-08 05:00:16,583	32k	INFO	====> Epoch: 577
2023-02-08 05:00:43,953	32k	INFO	====> Epoch: 578
2023-02-08 05:01:11,288	32k	INFO	====> Epoch: 579
2023-02-08 05:01:38,540	32k	INFO	====> Epoch: 580
2023-02-08 05:02:05,962	32k	INFO	====> Epoch: 581
2023-02-08 05:02:33,249	32k	INFO	====> Epoch: 582
2023-02-08 05:03:00,552	32k	INFO	====> Epoch: 583
2023-02-08 05:03:27,985	32k	INFO	====> Epoch: 584
2023-02-08 05:03:32,172	32k	INFO	Train Epoch: 585 [0%]
2023-02-08 05:03:32,172	32k	INFO	[2.2915985584259033, 2.772836446762085, 12.269257545471191, 16.47906494140625, 0.6766787767410278, 14600, 9.295965883781867e-05]
2023-02-08 05:03:55,503	32k	INFO	====> Epoch: 585
2023-02-08 05:04:22,775	32k	INFO	====> Epoch: 586
2023-02-08 05:04:50,091	32k	INFO	====> Epoch: 587
2023-02-08 05:05:17,513	32k	INFO	====> Epoch: 588
2023-02-08 05:05:44,920	32k	INFO	====> Epoch: 589
2023-02-08 05:06:12,120	32k	INFO	====> Epoch: 590
2023-02-08 05:06:39,387	32k	INFO	====> Epoch: 591
2023-02-08 05:07:06,654	32k	INFO	====> Epoch: 592
2023-02-08 05:07:10,845	32k	INFO	Train Epoch: 593 [0%]
2023-02-08 05:07:10,845	32k	INFO	[2.330660104751587, 2.686957597732544, 10.816911697387695, 13.418163299560547, 0.6346575617790222, 14800, 9.286673983866569e-05]
2023-02-08 05:07:34,217	32k	INFO	====> Epoch: 593
2023-02-08 05:08:01,604	32k	INFO	====> Epoch: 594
2023-02-08 05:08:28,880	32k	INFO	====> Epoch: 595
2023-02-08 05:08:56,126	32k	INFO	====> Epoch: 596
2023-02-08 05:09:23,508	32k	INFO	====> Epoch: 597
2023-02-08 05:09:50,776	32k	INFO	====> Epoch: 598
2023-02-08 05:10:18,130	32k	INFO	====> Epoch: 599
2023-02-08 05:10:45,443	32k	INFO	====> Epoch: 600
2023-02-08 05:10:49,697	32k	INFO	Train Epoch: 601 [0%]
2023-02-08 05:10:49,697	32k	INFO	[2.2028629779815674, 2.77656888961792, 12.211880683898926, 16.510150909423828, 0.575664222240448, 15000, 9.277391371786995e-05]
2023-02-08 05:10:53,747	32k	INFO	Saving model and optimizer state at iteration 601 to ./logs\32k\G_15000.pth
2023-02-08 05:11:12,807	32k	INFO	Saving model and optimizer state at iteration 601 to ./logs\32k\D_15000.pth
2023-02-08 05:11:39,214	32k	INFO	====> Epoch: 601
2023-02-08 05:12:06,843	32k	INFO	====> Epoch: 602
2023-02-08 05:12:34,304	32k	INFO	====> Epoch: 603
2023-02-08 05:13:01,703	32k	INFO	====> Epoch: 604
2023-02-08 05:13:28,986	32k	INFO	====> Epoch: 605
2023-02-08 05:13:56,169	32k	INFO	====> Epoch: 606
2023-02-08 05:14:23,522	32k	INFO	====> Epoch: 607
2023-02-08 05:14:50,938	32k	INFO	====> Epoch: 608
2023-02-08 05:14:55,080	32k	INFO	Train Epoch: 609 [0%]
2023-02-08 05:14:55,081	32k	INFO	[2.429807424545288, 2.505187511444092, 9.17540454864502, 9.976359367370605, 0.5686947703361511, 15200, 9.268118038259374e-05]
2023-02-08 05:15:18,471	32k	INFO	====> Epoch: 609
2023-02-08 05:15:45,785	32k	INFO	====> Epoch: 610
2023-02-08 05:16:13,141	32k	INFO	====> Epoch: 611
2023-02-08 05:16:40,498	32k	INFO	====> Epoch: 612
2023-02-08 05:17:07,970	32k	INFO	====> Epoch: 613
2023-02-08 05:17:35,282	32k	INFO	====> Epoch: 614
2023-02-08 05:18:02,549	32k	INFO	====> Epoch: 615
2023-02-08 05:18:29,829	32k	INFO	====> Epoch: 616
2023-02-08 05:18:33,990	32k	INFO	Train Epoch: 617 [0%]
2023-02-08 05:18:33,990	32k	INFO	[2.1565258502960205, 2.8094539642333984, 12.92116641998291, 13.931828498840332, 0.5754638910293579, 15400, 9.25885397400921e-05]
2023-02-08 05:18:57,400	32k	INFO	====> Epoch: 617
2023-02-08 05:19:24,725	32k	INFO	====> Epoch: 618
2023-02-08 05:19:51,978	32k	INFO	====> Epoch: 619
2023-02-08 05:20:19,211	32k	INFO	====> Epoch: 620
2023-02-08 05:20:46,504	32k	INFO	====> Epoch: 621
2023-02-08 05:21:13,792	32k	INFO	====> Epoch: 622
2023-02-08 05:21:41,092	32k	INFO	====> Epoch: 623
2023-02-08 05:22:08,585	32k	INFO	====> Epoch: 624
2023-02-08 05:22:15,141	32k	INFO	Train Epoch: 625 [0%]
2023-02-08 05:22:15,141	32k	INFO	[2.1322479248046875, 2.917867422103882, 12.304961204528809, 15.38120174407959, 0.8442509174346924, 15600, 9.249599169771281e-05]
2023-02-08 05:22:38,944	32k	INFO	====> Epoch: 625
2023-02-08 05:23:08,202	32k	INFO	====> Epoch: 626
2023-02-08 05:23:39,460	32k	INFO	====> Epoch: 627
2023-02-08 05:24:08,301	32k	INFO	====> Epoch: 628
2023-02-08 05:24:38,140	32k	INFO	====> Epoch: 629
2023-02-08 05:25:11,127	32k	INFO	====> Epoch: 630
2023-02-08 05:25:39,084	32k	INFO	====> Epoch: 631
2023-02-08 05:26:12,289	32k	INFO	====> Epoch: 632
2023-02-08 05:26:18,466	32k	INFO	Train Epoch: 633 [0%]
2023-02-08 05:26:18,466	32k	INFO	[2.2796847820281982, 2.636449098587036, 11.801140785217285, 15.86832046508789, 0.6501888632774353, 15800, 9.240353616289628e-05]
2023-02-08 05:26:42,135	32k	INFO	====> Epoch: 633
2023-02-08 05:27:12,045	32k	INFO	====> Epoch: 634
2023-02-08 05:27:41,323	32k	INFO	====> Epoch: 635
2023-02-08 05:28:08,619	32k	INFO	====> Epoch: 636
2023-02-08 05:28:35,798	32k	INFO	====> Epoch: 637
2023-02-08 05:29:03,067	32k	INFO	====> Epoch: 638
2023-02-08 05:29:30,326	32k	INFO	====> Epoch: 639
2023-02-08 05:29:57,554	32k	INFO	====> Epoch: 640
2023-02-08 05:30:01,721	32k	INFO	Train Epoch: 641 [0%]
2023-02-08 05:30:01,721	32k	INFO	[2.137920379638672, 2.997647285461426, 10.96126937866211, 12.084086418151855, 0.7113716006278992, 16000, 9.231117304317535e-05]
2023-02-08 05:30:05,765	32k	INFO	Saving model and optimizer state at iteration 641 to ./logs\32k\G_16000.pth
2023-02-08 05:30:24,498	32k	INFO	Saving model and optimizer state at iteration 641 to ./logs\32k\D_16000.pth
2023-02-08 05:30:51,480	32k	INFO	====> Epoch: 641
2023-02-08 05:31:19,096	32k	INFO	====> Epoch: 642
2023-02-08 05:31:46,407	32k	INFO	====> Epoch: 643
2023-02-08 05:32:13,688	32k	INFO	====> Epoch: 644
2023-02-08 05:32:41,002	32k	INFO	====> Epoch: 645
2023-02-08 05:33:08,387	32k	INFO	====> Epoch: 646
2023-02-08 05:33:35,627	32k	INFO	====> Epoch: 647
2023-02-08 05:34:02,969	32k	INFO	====> Epoch: 648
2023-02-08 05:34:07,096	32k	INFO	Train Epoch: 649 [0%]
2023-02-08 05:34:07,096	32k	INFO	[2.0951991081237793, 2.7151432037353516, 10.881357192993164, 10.851899147033691, 0.9804232716560364, 16200, 9.221890224617541e-05]
2023-02-08 05:34:30,439	32k	INFO	====> Epoch: 649
2023-02-08 05:34:57,744	32k	INFO	====> Epoch: 650
2023-02-08 05:35:24,965	32k	INFO	====> Epoch: 651
2023-02-08 05:35:52,204	32k	INFO	====> Epoch: 652
2023-02-08 05:36:19,443	32k	INFO	====> Epoch: 653
2023-02-08 05:36:46,726	32k	INFO	====> Epoch: 654
2023-02-08 05:37:13,898	32k	INFO	====> Epoch: 655
2023-02-08 05:37:41,056	32k	INFO	====> Epoch: 656
2023-02-08 05:37:45,188	32k	INFO	Train Epoch: 657 [0%]
2023-02-08 05:37:45,189	32k	INFO	[2.236208438873291, 2.7657008171081543, 11.772223472595215, 15.897233963012695, 0.806340217590332, 16400, 9.212672367961408e-05]
2023-02-08 05:38:08,664	32k	INFO	====> Epoch: 657
2023-02-08 05:38:35,940	32k	INFO	====> Epoch: 658
2023-02-08 05:39:03,243	32k	INFO	====> Epoch: 659
2023-02-08 05:39:30,457	32k	INFO	====> Epoch: 660
2023-02-08 05:39:57,819	32k	INFO	====> Epoch: 661
2023-02-08 05:40:25,141	32k	INFO	====> Epoch: 662
2023-02-08 05:40:52,512	32k	INFO	====> Epoch: 663
2023-02-08 05:41:19,776	32k	INFO	====> Epoch: 664
2023-02-08 05:41:23,940	32k	INFO	Train Epoch: 665 [0%]
2023-02-08 05:41:23,941	32k	INFO	[2.438769817352295, 2.500645399093628, 8.93274211883545, 11.073970794677734, 0.8024316430091858, 16600, 9.203463725130127e-05]
2023-02-08 05:41:47,438	32k	INFO	====> Epoch: 665
2023-02-08 05:42:14,692	32k	INFO	====> Epoch: 666
2023-02-08 05:42:41,918	32k	INFO	====> Epoch: 667
2023-02-08 05:43:09,298	32k	INFO	====> Epoch: 668
2023-02-08 05:43:36,570	32k	INFO	====> Epoch: 669
2023-02-08 05:44:03,815	32k	INFO	====> Epoch: 670
2023-02-08 05:44:31,089	32k	INFO	====> Epoch: 671
2023-02-08 05:44:58,486	32k	INFO	====> Epoch: 672
2023-02-08 05:45:02,659	32k	INFO	Train Epoch: 673 [0%]
2023-02-08 05:45:02,660	32k	INFO	[2.0021891593933105, 2.9026453495025635, 13.554333686828613, 15.906020164489746, 0.6412281394004822, 16800, 9.194264286913901e-05]
2023-02-08 05:45:25,980	32k	INFO	====> Epoch: 673
2023-02-08 05:45:53,202	32k	INFO	====> Epoch: 674
2023-02-08 05:46:20,579	32k	INFO	====> Epoch: 675
2023-02-08 05:46:47,807	32k	INFO	====> Epoch: 676
2023-02-08 05:47:15,164	32k	INFO	====> Epoch: 677
2023-02-08 05:47:42,347	32k	INFO	====> Epoch: 678
2023-02-08 05:48:09,651	32k	INFO	====> Epoch: 679
2023-02-08 05:48:36,876	32k	INFO	====> Epoch: 680
2023-02-08 05:48:41,041	32k	INFO	Train Epoch: 681 [0%]
2023-02-08 05:48:41,042	32k	INFO	[2.274784564971924, 2.448777198791504, 9.413772583007812, 9.827528953552246, 0.6927088499069214, 17000, 9.185074044112143e-05]
2023-02-08 05:48:44,961	32k	INFO	Saving model and optimizer state at iteration 681 to ./logs\32k\G_17000.pth
2023-02-08 05:49:01,048	32k	INFO	Saving model and optimizer state at iteration 681 to ./logs\32k\D_17000.pth
2023-02-08 05:49:27,774	32k	INFO	====> Epoch: 681
2023-02-08 05:49:55,440	32k	INFO	====> Epoch: 682
2023-02-08 05:50:22,752	32k	INFO	====> Epoch: 683
2023-02-08 05:50:50,023	32k	INFO	====> Epoch: 684
2023-02-08 05:51:17,444	32k	INFO	====> Epoch: 685
2023-02-08 05:51:44,800	32k	INFO	====> Epoch: 686
2023-02-08 05:52:12,068	32k	INFO	====> Epoch: 687
2023-02-08 05:52:39,340	32k	INFO	====> Epoch: 688
2023-02-08 05:52:43,487	32k	INFO	Train Epoch: 689 [0%]
2023-02-08 05:52:43,488	32k	INFO	[1.9996830224990845, 2.882810592651367, 15.078625679016113, 17.510944366455078, 0.7180542349815369, 17200, 9.175892987533463e-05]
2023-02-08 05:53:06,977	32k	INFO	====> Epoch: 689
2023-02-08 05:53:34,334	32k	INFO	====> Epoch: 690
2023-02-08 05:54:01,744	32k	INFO	====> Epoch: 691
2023-02-08 05:54:29,106	32k	INFO	====> Epoch: 692
2023-02-08 05:54:56,517	32k	INFO	====> Epoch: 693
2023-02-08 05:55:23,844	32k	INFO	====> Epoch: 694
2023-02-08 05:55:51,154	32k	INFO	====> Epoch: 695
2023-02-08 05:56:18,467	32k	INFO	====> Epoch: 696
2023-02-08 05:56:22,701	32k	INFO	Train Epoch: 697 [0%]
2023-02-08 05:56:22,701	32k	INFO	[2.1816024780273438, 2.628760814666748, 12.47100830078125, 14.666457176208496, 0.5098492503166199, 17400, 9.166721107995651e-05]
2023-02-08 05:56:46,046	32k	INFO	====> Epoch: 697
2023-02-08 05:57:13,483	32k	INFO	====> Epoch: 698
2023-02-08 05:57:40,721	32k	INFO	====> Epoch: 699
2023-02-08 05:58:08,053	32k	INFO	====> Epoch: 700
2023-02-08 05:58:35,358	32k	INFO	====> Epoch: 701
2023-02-08 05:59:02,709	32k	INFO	====> Epoch: 702
2023-02-08 05:59:29,956	32k	INFO	====> Epoch: 703
2023-02-08 05:59:57,372	32k	INFO	====> Epoch: 704
2023-02-08 06:00:01,627	32k	INFO	Train Epoch: 705 [0%]
2023-02-08 06:00:01,628	32k	INFO	[2.181964874267578, 2.5327863693237305, 10.578967094421387, 11.907835960388184, 0.5587829947471619, 17600, 9.157558396325682e-05]
2023-02-08 06:00:25,079	32k	INFO	====> Epoch: 705
2023-02-08 06:00:52,679	32k	INFO	====> Epoch: 706
2023-02-08 06:01:20,222	32k	INFO	====> Epoch: 707
2023-02-08 06:01:47,660	32k	INFO	====> Epoch: 708
2023-02-08 06:02:15,063	32k	INFO	====> Epoch: 709
2023-02-08 06:02:42,482	32k	INFO	====> Epoch: 710
2023-02-08 06:03:10,045	32k	INFO	====> Epoch: 711
2023-02-08 06:03:37,554	32k	INFO	====> Epoch: 712
2023-02-08 06:03:41,841	32k	INFO	Train Epoch: 713 [0%]
2023-02-08 06:03:41,841	32k	INFO	[2.05629301071167, 3.078871250152588, 14.809829711914062, 17.822490692138672, 0.5700010061264038, 17800, 9.1484048433597e-05]
2023-02-08 06:04:05,401	32k	INFO	====> Epoch: 713
2023-02-08 06:04:32,767	32k	INFO	====> Epoch: 714
2023-02-08 06:05:00,086	32k	INFO	====> Epoch: 715
2023-02-08 06:05:27,316	32k	INFO	====> Epoch: 716
2023-02-08 06:05:54,589	32k	INFO	====> Epoch: 717
2023-02-08 06:06:21,858	32k	INFO	====> Epoch: 718
2023-02-08 06:06:49,165	32k	INFO	====> Epoch: 719
2023-02-08 06:07:16,356	32k	INFO	====> Epoch: 720
2023-02-08 06:07:20,528	32k	INFO	Train Epoch: 721 [0%]
2023-02-08 06:07:20,528	32k	INFO	[2.164158582687378, 2.6163268089294434, 10.601806640625, 11.618563652038574, 0.6920743584632874, 18000, 9.139260439943005e-05]
2023-02-08 06:07:24,529	32k	INFO	Saving model and optimizer state at iteration 721 to ./logs\32k\G_18000.pth
2023-02-08 06:07:40,718	32k	INFO	Saving model and optimizer state at iteration 721 to ./logs\32k\D_18000.pth
2023-02-08 06:08:07,671	32k	INFO	====> Epoch: 721
2023-02-08 06:08:35,319	32k	INFO	====> Epoch: 722
2023-02-08 06:09:02,558	32k	INFO	====> Epoch: 723
2023-02-08 06:09:29,810	32k	INFO	====> Epoch: 724
2023-02-08 06:09:57,114	32k	INFO	====> Epoch: 725
2023-02-08 06:10:24,366	32k	INFO	====> Epoch: 726
2023-02-08 06:10:51,634	32k	INFO	====> Epoch: 727
2023-02-08 06:11:18,928	32k	INFO	====> Epoch: 728
2023-02-08 06:11:23,155	32k	INFO	Train Epoch: 729 [0%]
2023-02-08 06:11:23,155	32k	INFO	[2.012582540512085, 3.1388368606567383, 10.874849319458008, 12.830694198608398, 1.2125579118728638, 18200, 9.130125176930053e-05]
2023-02-08 06:11:46,700	32k	INFO	====> Epoch: 729
2023-02-08 06:12:13,958	32k	INFO	====> Epoch: 730
2023-02-08 06:12:41,340	32k	INFO	====> Epoch: 731
2023-02-08 06:13:08,673	32k	INFO	====> Epoch: 732
2023-02-08 06:13:36,013	32k	INFO	====> Epoch: 733
2023-02-08 06:14:03,244	32k	INFO	====> Epoch: 734
2023-02-08 06:14:30,561	32k	INFO	====> Epoch: 735
2023-02-08 06:14:57,848	32k	INFO	====> Epoch: 736
2023-02-08 06:15:02,022	32k	INFO	Train Epoch: 737 [0%]
2023-02-08 06:15:02,023	32k	INFO	[2.373138904571533, 2.6271932125091553, 11.668561935424805, 11.838142395019531, 0.43812692165374756, 18400, 9.120999045184433e-05]
2023-02-08 06:15:25,401	32k	INFO	====> Epoch: 737
2023-02-08 06:15:52,680	32k	INFO	====> Epoch: 738
2023-02-08 06:16:19,995	32k	INFO	====> Epoch: 739
2023-02-08 06:16:47,234	32k	INFO	====> Epoch: 740
2023-02-08 06:17:14,575	32k	INFO	====> Epoch: 741
2023-02-08 06:17:41,832	32k	INFO	====> Epoch: 742
2023-02-08 06:18:09,212	32k	INFO	====> Epoch: 743
2023-02-08 06:18:36,441	32k	INFO	====> Epoch: 744
2023-02-08 06:18:40,583	32k	INFO	Train Epoch: 745 [0%]
2023-02-08 06:18:40,583	32k	INFO	[2.2940125465393066, 2.5006821155548096, 7.664450168609619, 7.003386497497559, 0.36640802025794983, 18600, 9.111882035578874e-05]
2023-02-08 06:19:03,885	32k	INFO	====> Epoch: 745
2023-02-08 06:19:31,187	32k	INFO	====> Epoch: 746
2023-02-08 06:19:58,703	32k	INFO	====> Epoch: 747
2023-02-08 06:20:25,972	32k	INFO	====> Epoch: 748
2023-02-08 06:20:53,353	32k	INFO	====> Epoch: 749
2023-02-08 06:21:20,571	32k	INFO	====> Epoch: 750
2023-02-08 06:21:47,821	32k	INFO	====> Epoch: 751
2023-02-08 06:22:15,315	32k	INFO	====> Epoch: 752
2023-02-08 06:22:19,480	32k	INFO	Train Epoch: 753 [0%]
2023-02-08 06:22:19,481	32k	INFO	[2.209760904312134, 2.9699435234069824, 11.424541473388672, 12.134815216064453, 0.892327606678009, 18800, 9.102774138995226e-05]
2023-02-08 06:22:42,923	32k	INFO	====> Epoch: 753
2023-02-08 06:23:10,236	32k	INFO	====> Epoch: 754
2023-02-08 06:23:37,532	32k	INFO	====> Epoch: 755
2023-02-08 06:24:04,656	32k	INFO	====> Epoch: 756
2023-02-08 06:24:31,944	32k	INFO	====> Epoch: 757
2023-02-08 06:24:59,192	32k	INFO	====> Epoch: 758
2023-02-08 06:25:26,470	32k	INFO	====> Epoch: 759
2023-02-08 06:25:53,724	32k	INFO	====> Epoch: 760
2023-02-08 06:25:57,924	32k	INFO	Train Epoch: 761 [0%]
2023-02-08 06:25:57,924	32k	INFO	[2.1244606971740723, 2.5695090293884277, 11.247437477111816, 13.27083969116211, 0.8782016038894653, 19000, 9.093675346324454e-05]
2023-02-08 06:26:01,899	32k	INFO	Saving model and optimizer state at iteration 761 to ./logs\32k\G_19000.pth
2023-02-08 06:26:18,012	32k	INFO	Saving model and optimizer state at iteration 761 to ./logs\32k\D_19000.pth
2023-02-08 06:26:45,141	32k	INFO	====> Epoch: 761
2023-02-08 06:27:12,773	32k	INFO	====> Epoch: 762
2023-02-08 06:27:40,177	32k	INFO	====> Epoch: 763
2023-02-08 06:28:07,481	32k	INFO	====> Epoch: 764
2023-02-08 06:28:34,823	32k	INFO	====> Epoch: 765
2023-02-08 06:29:02,147	32k	INFO	====> Epoch: 766
2023-02-08 06:29:29,511	32k	INFO	====> Epoch: 767
2023-02-08 06:29:56,714	32k	INFO	====> Epoch: 768
2023-02-08 06:30:00,836	32k	INFO	Train Epoch: 769 [0%]
2023-02-08 06:30:00,837	32k	INFO	[2.1510729789733887, 2.749018907546997, 12.148856163024902, 16.22759437561035, 0.3612435460090637, 19200, 9.084585648466622e-05]
2023-02-08 06:30:24,237	32k	INFO	====> Epoch: 769
2023-02-08 06:30:51,494	32k	INFO	====> Epoch: 770
2023-02-08 06:31:18,806	32k	INFO	====> Epoch: 771
2023-02-08 06:31:46,017	32k	INFO	====> Epoch: 772
2023-02-08 06:32:13,260	32k	INFO	====> Epoch: 773
2023-02-08 06:32:40,496	32k	INFO	====> Epoch: 774
2023-02-08 06:33:07,947	32k	INFO	====> Epoch: 775
2023-02-08 06:33:35,240	32k	INFO	====> Epoch: 776
2023-02-08 06:33:39,408	32k	INFO	Train Epoch: 777 [0%]
2023-02-08 06:33:39,409	32k	INFO	[2.2065720558166504, 2.734769344329834, 13.246220588684082, 16.513587951660156, 0.6329246163368225, 19400, 9.0755050363309e-05]
2023-02-08 06:34:02,887	32k	INFO	====> Epoch: 777
2023-02-08 06:34:30,310	32k	INFO	====> Epoch: 778
2023-02-08 06:34:57,574	32k	INFO	====> Epoch: 779
2023-02-08 06:35:24,896	32k	INFO	====> Epoch: 780
2023-02-08 06:35:52,221	32k	INFO	====> Epoch: 781
2023-02-08 06:36:19,629	32k	INFO	====> Epoch: 782
2023-02-08 06:36:46,823	32k	INFO	====> Epoch: 783
2023-02-08 06:37:14,020	32k	INFO	====> Epoch: 784
2023-02-08 06:37:18,237	32k	INFO	Train Epoch: 785 [0%]
2023-02-08 06:37:18,237	32k	INFO	[1.9974815845489502, 3.1192662715911865, 15.722082138061523, 16.926956176757812, 0.8178009390830994, 19600, 9.066433500835542e-05]
2023-02-08 06:37:41,769	32k	INFO	====> Epoch: 785
2023-02-08 06:38:08,993	32k	INFO	====> Epoch: 786
2023-02-08 06:38:36,217	32k	INFO	====> Epoch: 787
2023-02-08 06:39:03,464	32k	INFO	====> Epoch: 788
2023-02-08 06:39:30,805	32k	INFO	====> Epoch: 789
2023-02-08 06:39:58,099	32k	INFO	====> Epoch: 790
2023-02-08 06:40:25,388	32k	INFO	====> Epoch: 791
2023-02-08 06:40:52,725	32k	INFO	====> Epoch: 792
2023-02-08 06:40:56,866	32k	INFO	Train Epoch: 793 [0%]
2023-02-08 06:40:56,866	32k	INFO	[2.0566844940185547, 2.7372255325317383, 10.626788139343262, 11.168453216552734, 0.30525901913642883, 19800, 9.057371032907876e-05]
2023-02-08 06:41:20,178	32k	INFO	====> Epoch: 793
2023-02-08 06:41:47,391	32k	INFO	====> Epoch: 794
2023-02-08 06:42:14,680	32k	INFO	====> Epoch: 795
2023-02-08 06:42:41,884	32k	INFO	====> Epoch: 796
2023-02-08 06:43:09,092	32k	INFO	====> Epoch: 797
2023-02-08 06:43:36,318	32k	INFO	====> Epoch: 798
2023-02-08 06:44:03,601	32k	INFO	====> Epoch: 799
2023-02-08 06:44:30,820	32k	INFO	====> Epoch: 800
2023-02-08 06:44:35,006	32k	INFO	Train Epoch: 801 [0%]
2023-02-08 06:44:35,006	32k	INFO	[2.1265082359313965, 2.7729268074035645, 12.546405792236328, 15.052834510803223, 0.5002524256706238, 20000, 9.048317623484297e-05]
2023-02-08 06:44:38,932	32k	INFO	Saving model and optimizer state at iteration 801 to ./logs\32k\G_20000.pth
2023-02-08 06:44:51,852	32k	INFO	Saving model and optimizer state at iteration 801 to ./logs\32k\D_20000.pth
2023-02-08 06:45:18,762	32k	INFO	====> Epoch: 801
2023-02-08 06:45:46,387	32k	INFO	====> Epoch: 802
2023-02-08 06:46:13,636	32k	INFO	====> Epoch: 803
2023-02-08 06:46:41,022	32k	INFO	====> Epoch: 804
2023-02-08 06:47:08,315	32k	INFO	====> Epoch: 805
2023-02-08 06:47:35,597	32k	INFO	====> Epoch: 806
2023-02-08 06:48:02,774	32k	INFO	====> Epoch: 807
2023-02-08 06:48:30,067	32k	INFO	====> Epoch: 808
2023-02-08 06:48:34,212	32k	INFO	Train Epoch: 809 [0%]
2023-02-08 06:48:34,213	32k	INFO	[2.0923309326171875, 2.8940019607543945, 12.025039672851562, 11.831348419189453, 0.6156488060951233, 20200, 9.039273263510263e-05]
2023-02-08 06:48:57,617	32k	INFO	====> Epoch: 809
2023-02-08 06:49:24,892	32k	INFO	====> Epoch: 810
2023-02-08 06:49:52,301	32k	INFO	====> Epoch: 811
2023-02-08 06:50:19,602	32k	INFO	====> Epoch: 812
2023-02-08 06:50:46,978	32k	INFO	====> Epoch: 813
2023-02-08 06:51:14,230	32k	INFO	====> Epoch: 814
2023-02-08 06:51:41,465	32k	INFO	====> Epoch: 815
2023-02-08 06:52:08,714	32k	INFO	====> Epoch: 816
2023-02-08 06:52:12,877	32k	INFO	Train Epoch: 817 [0%]
2023-02-08 06:52:12,877	32k	INFO	[2.4014453887939453, 2.6083574295043945, 11.982321739196777, 10.928739547729492, 0.7464172840118408, 20400, 9.030237943940286e-05]
2023-02-08 06:52:36,221	32k	INFO	====> Epoch: 817
2023-02-08 06:53:03,546	32k	INFO	====> Epoch: 818
2023-02-08 06:53:30,881	32k	INFO	====> Epoch: 819
2023-02-08 06:53:58,207	32k	INFO	====> Epoch: 820
2023-02-08 06:54:25,623	32k	INFO	====> Epoch: 821
2023-02-08 06:54:52,839	32k	INFO	====> Epoch: 822
2023-02-08 06:55:20,051	32k	INFO	====> Epoch: 823
2023-02-08 06:55:47,527	32k	INFO	====> Epoch: 824
2023-02-08 06:55:51,730	32k	INFO	Train Epoch: 825 [0%]
2023-02-08 06:55:51,731	32k	INFO	[2.2930970191955566, 2.770522356033325, 12.017240524291992, 12.001582145690918, 0.7899613976478577, 20600, 9.021211655737914e-05]
2023-02-08 06:56:15,029	32k	INFO	====> Epoch: 825
2023-02-08 06:56:42,404	32k	INFO	====> Epoch: 826
2023-02-08 06:57:09,720	32k	INFO	====> Epoch: 827
2023-02-08 06:57:36,952	32k	INFO	====> Epoch: 828
2023-02-08 06:58:04,218	32k	INFO	====> Epoch: 829
2023-02-08 06:58:31,584	32k	INFO	====> Epoch: 830
2023-02-08 06:58:59,003	32k	INFO	====> Epoch: 831
2023-02-08 06:59:26,276	32k	INFO	====> Epoch: 832
2023-02-08 06:59:30,557	32k	INFO	Train Epoch: 833 [0%]
2023-02-08 06:59:30,558	32k	INFO	[2.11090087890625, 3.052443027496338, 13.282072067260742, 15.536898612976074, 1.3192182779312134, 20800, 9.01219438987573e-05]
2023-02-08 06:59:53,868	32k	INFO	====> Epoch: 833
2023-02-08 07:00:21,113	32k	INFO	====> Epoch: 834
2023-02-08 07:00:48,332	32k	INFO	====> Epoch: 835
2023-02-08 07:01:15,646	32k	INFO	====> Epoch: 836
2023-02-08 07:01:42,879	32k	INFO	====> Epoch: 837
2023-02-08 07:02:10,261	32k	INFO	====> Epoch: 838
2023-02-08 07:02:37,532	32k	INFO	====> Epoch: 839
2023-02-08 07:03:04,946	32k	INFO	====> Epoch: 840
2023-02-08 07:03:09,132	32k	INFO	Train Epoch: 841 [0%]
2023-02-08 07:03:09,133	32k	INFO	[2.149151086807251, 2.75006103515625, 12.777043342590332, 13.894636154174805, 0.7803422808647156, 21000, 9.003186137335341e-05]
2023-02-08 07:03:13,195	32k	INFO	Saving model and optimizer state at iteration 841 to ./logs\32k\G_21000.pth
2023-02-08 07:03:29,213	32k	INFO	Saving model and optimizer state at iteration 841 to ./logs\32k\D_21000.pth
2023-02-08 07:03:56,315	32k	INFO	====> Epoch: 841
2023-02-08 07:04:23,769	32k	INFO	====> Epoch: 842
2023-02-08 07:04:51,057	32k	INFO	====> Epoch: 843
2023-02-08 07:05:18,379	32k	INFO	====> Epoch: 844
2023-02-08 07:05:45,540	32k	INFO	====> Epoch: 845
2023-02-08 07:06:12,761	32k	INFO	====> Epoch: 846
2023-02-08 07:06:40,024	32k	INFO	====> Epoch: 847
2023-02-08 07:07:07,202	32k	INFO	====> Epoch: 848
2023-02-08 07:07:11,424	32k	INFO	Train Epoch: 849 [0%]
2023-02-08 07:07:11,425	32k	INFO	[2.125340223312378, 2.8410911560058594, 12.986804962158203, 14.227916717529297, 0.25074541568756104, 21200, 8.99418688910737e-05]
2023-02-08 07:07:34,785	32k	INFO	====> Epoch: 849
2023-02-08 07:08:02,135	32k	INFO	====> Epoch: 850
2023-02-08 07:08:29,275	32k	INFO	====> Epoch: 851
2023-02-08 07:08:56,594	32k	INFO	====> Epoch: 852
2023-02-08 07:09:23,849	32k	INFO	====> Epoch: 853
2023-02-08 07:09:51,068	32k	INFO	====> Epoch: 854
2023-02-08 07:10:18,329	32k	INFO	====> Epoch: 855
2023-02-08 07:10:45,522	32k	INFO	====> Epoch: 856
2023-02-08 07:10:49,663	32k	INFO	Train Epoch: 857 [0%]
2023-02-08 07:10:49,664	32k	INFO	[2.0698940753936768, 2.8452775478363037, 12.501750946044922, 12.397539138793945, 0.49813979864120483, 21400, 8.985196636191438e-05]
2023-02-08 07:11:13,005	32k	INFO	====> Epoch: 857
2023-02-08 07:11:40,271	32k	INFO	====> Epoch: 858
2023-02-08 07:12:07,918	32k	INFO	====> Epoch: 859
2023-02-08 07:12:38,310	32k	INFO	====> Epoch: 860
2023-02-08 07:13:10,251	32k	INFO	====> Epoch: 861
2023-02-08 07:13:40,776	32k	INFO	====> Epoch: 862
2023-02-08 07:14:10,517	32k	INFO	====> Epoch: 863
2023-02-08 07:14:41,028	32k	INFO	====> Epoch: 864
2023-02-08 07:14:49,150	32k	INFO	Train Epoch: 865 [0%]
2023-02-08 07:14:49,151	32k	INFO	[1.92959725856781, 3.199324607849121, 11.906269073486328, 10.978227615356445, 0.9311949610710144, 21600, 8.976215369596169e-05]
2023-02-08 07:15:12,784	32k	INFO	====> Epoch: 865
2023-02-08 07:15:40,598	32k	INFO	====> Epoch: 866
2023-02-08 07:16:08,685	32k	INFO	====> Epoch: 867
2023-02-08 07:16:39,256	32k	INFO	====> Epoch: 868
2023-02-08 07:17:10,770	32k	INFO	====> Epoch: 869
2023-02-08 07:17:40,100	32k	INFO	====> Epoch: 870
2023-02-08 07:18:10,191	32k	INFO	====> Epoch: 871
2023-02-08 07:18:37,437	32k	INFO	====> Epoch: 872
2023-02-08 07:18:41,669	32k	INFO	Train Epoch: 873 [0%]
2023-02-08 07:18:41,670	32k	INFO	[2.0080058574676514, 3.053236722946167, 11.216368675231934, 14.142807960510254, 0.9589112401008606, 21800, 8.967243080339174e-05]
2023-02-08 07:19:04,983	32k	INFO	====> Epoch: 873
2023-02-08 07:19:32,241	32k	INFO	====> Epoch: 874
2023-02-08 07:19:59,532	32k	INFO	====> Epoch: 875
2023-02-08 07:20:26,736	32k	INFO	====> Epoch: 876
2023-02-08 07:20:54,044	32k	INFO	====> Epoch: 877
2023-02-08 07:21:21,282	32k	INFO	====> Epoch: 878
2023-02-08 07:21:48,526	32k	INFO	====> Epoch: 879
2023-02-08 07:22:15,755	32k	INFO	====> Epoch: 880
2023-02-08 07:22:19,905	32k	INFO	Train Epoch: 881 [0%]
2023-02-08 07:22:19,905	32k	INFO	[2.6314525604248047, 2.4978129863739014, 9.935847282409668, 8.845563888549805, 0.6839585900306702, 22000, 8.958279759447042e-05]
2023-02-08 07:22:23,914	32k	INFO	Saving model and optimizer state at iteration 881 to ./logs\32k\G_22000.pth
2023-02-08 07:22:41,085	32k	INFO	Saving model and optimizer state at iteration 881 to ./logs\32k\D_22000.pth
2023-02-08 07:23:07,819	32k	INFO	====> Epoch: 881
2023-02-08 07:23:35,395	32k	INFO	====> Epoch: 882
2023-02-08 07:24:02,759	32k	INFO	====> Epoch: 883
2023-02-08 07:24:30,034	32k	INFO	====> Epoch: 884
2023-02-08 07:24:57,360	32k	INFO	====> Epoch: 885
2023-02-08 07:25:24,615	32k	INFO	====> Epoch: 886
2023-02-08 07:25:51,858	32k	INFO	====> Epoch: 887
2023-02-08 07:26:19,136	32k	INFO	====> Epoch: 888
2023-02-08 07:26:23,405	32k	INFO	Train Epoch: 889 [0%]
2023-02-08 07:26:23,405	32k	INFO	[2.272139549255371, 2.7063703536987305, 9.242504119873047, 9.219676971435547, 0.4809642434120178, 22200, 8.949325397955328e-05]
2023-02-08 07:26:46,809	32k	INFO	====> Epoch: 889
2023-02-08 07:27:14,142	32k	INFO	====> Epoch: 890
2023-02-08 07:27:41,336	32k	INFO	====> Epoch: 891
2023-02-08 07:28:08,507	32k	INFO	====> Epoch: 892
2023-02-08 07:28:35,657	32k	INFO	====> Epoch: 893
2023-02-08 07:29:02,877	32k	INFO	====> Epoch: 894
2023-02-08 07:29:30,231	32k	INFO	====> Epoch: 895
2023-02-08 07:29:57,532	32k	INFO	====> Epoch: 896
2023-02-08 07:30:01,713	32k	INFO	Train Epoch: 897 [0%]
2023-02-08 07:30:01,714	32k	INFO	[2.322063684463501, 2.868098497390747, 12.482490539550781, 13.00596809387207, 0.7583285570144653, 22400, 8.940379986908551e-05]
2023-02-08 07:30:25,151	32k	INFO	====> Epoch: 897
2023-02-08 07:30:52,461	32k	INFO	====> Epoch: 898
2023-02-08 07:31:19,723	32k	INFO	====> Epoch: 899
2023-02-08 07:31:46,973	32k	INFO	====> Epoch: 900
2023-02-08 07:32:14,303	32k	INFO	====> Epoch: 901
2023-02-08 07:32:41,477	32k	INFO	====> Epoch: 902
2023-02-08 07:33:08,757	32k	INFO	====> Epoch: 903
2023-02-08 07:33:36,005	32k	INFO	====> Epoch: 904
2023-02-08 07:33:40,147	32k	INFO	Train Epoch: 905 [0%]
2023-02-08 07:33:40,147	32k	INFO	[2.325117588043213, 2.5180792808532715, 9.79041862487793, 12.433469772338867, 0.5814107060432434, 22600, 8.931443517360183e-05]
2023-02-08 07:34:03,587	32k	INFO	====> Epoch: 905
2023-02-08 07:34:30,802	32k	INFO	====> Epoch: 906
2023-02-08 07:34:57,987	32k	INFO	====> Epoch: 907
2023-02-08 07:35:25,198	32k	INFO	====> Epoch: 908
2023-02-08 07:35:52,558	32k	INFO	====> Epoch: 909
2023-02-08 07:36:19,690	32k	INFO	====> Epoch: 910
2023-02-08 07:36:47,083	32k	INFO	====> Epoch: 911
2023-02-08 07:37:14,313	32k	INFO	====> Epoch: 912
2023-02-08 07:37:18,443	32k	INFO	Train Epoch: 913 [0%]
2023-02-08 07:37:18,444	32k	INFO	[1.9407083988189697, 3.064429521560669, 13.42102336883545, 14.391809463500977, 0.8895781636238098, 22800, 8.922515980372634e-05]
2023-02-08 07:37:41,848	32k	INFO	====> Epoch: 913
2023-02-08 07:38:09,030	32k	INFO	====> Epoch: 914
2023-02-08 07:38:36,288	32k	INFO	====> Epoch: 915
2023-02-08 07:39:03,526	32k	INFO	====> Epoch: 916
2023-02-08 07:39:30,739	32k	INFO	====> Epoch: 917
2023-02-08 07:39:58,041	32k	INFO	====> Epoch: 918
2023-02-08 07:40:25,306	32k	INFO	====> Epoch: 919
2023-02-08 07:40:52,556	32k	INFO	====> Epoch: 920
2023-02-08 07:40:56,738	32k	INFO	Train Epoch: 921 [0%]
2023-02-08 07:40:56,739	32k	INFO	[2.197166681289673, 2.3346621990203857, 9.322127342224121, 7.226282119750977, 1.101223349571228, 23000, 8.913597367017252e-05]
2023-02-08 07:41:00,750	32k	INFO	Saving model and optimizer state at iteration 921 to ./logs\32k\G_23000.pth
2023-02-08 07:41:18,342	32k	INFO	Saving model and optimizer state at iteration 921 to ./logs\32k\D_23000.pth
2023-02-08 07:41:45,219	32k	INFO	====> Epoch: 921
2023-02-08 07:42:12,753	32k	INFO	====> Epoch: 922
2023-02-08 07:42:40,160	32k	INFO	====> Epoch: 923
2023-02-08 07:43:07,479	32k	INFO	====> Epoch: 924
2023-02-08 07:43:34,864	32k	INFO	====> Epoch: 925
2023-02-08 07:44:02,059	32k	INFO	====> Epoch: 926
2023-02-08 07:44:29,486	32k	INFO	====> Epoch: 927
2023-02-08 07:44:56,844	32k	INFO	====> Epoch: 928
2023-02-08 07:45:01,019	32k	INFO	Train Epoch: 929 [0%]
2023-02-08 07:45:01,020	32k	INFO	[2.1242141723632812, 2.6913626194000244, 9.64948558807373, 10.495525360107422, 0.8300616145133972, 23200, 8.904687668374304e-05]
2023-02-08 07:45:24,517	32k	INFO	====> Epoch: 929
2023-02-08 07:45:51,885	32k	INFO	====> Epoch: 930
2023-02-08 07:46:19,191	32k	INFO	====> Epoch: 931
2023-02-08 07:46:46,546	32k	INFO	====> Epoch: 932
2023-02-08 07:47:13,785	32k	INFO	====> Epoch: 933
2023-02-08 07:47:41,068	32k	INFO	====> Epoch: 934
2023-02-08 07:48:08,284	32k	INFO	====> Epoch: 935
2023-02-08 07:48:35,532	32k	INFO	====> Epoch: 936
2023-02-08 07:48:39,680	32k	INFO	Train Epoch: 937 [0%]
2023-02-08 07:48:39,680	32k	INFO	[1.9234025478363037, 3.0937461853027344, 13.352231979370117, 12.107898712158203, 0.040413763374090195, 23400, 8.895786875532985e-05]
2023-02-08 07:49:03,087	32k	INFO	====> Epoch: 937
2023-02-08 07:49:30,269	32k	INFO	====> Epoch: 938
2023-02-08 07:49:57,550	32k	INFO	====> Epoch: 939
2023-02-08 07:50:24,804	32k	INFO	====> Epoch: 940
2023-02-08 07:50:52,068	32k	INFO	====> Epoch: 941
2023-02-08 07:51:19,531	32k	INFO	====> Epoch: 942
2023-02-08 07:51:46,795	32k	INFO	====> Epoch: 943
2023-02-08 07:52:14,106	32k	INFO	====> Epoch: 944
2023-02-08 07:52:18,289	32k	INFO	Train Epoch: 945 [0%]
2023-02-08 07:52:18,289	32k	INFO	[2.4052250385284424, 2.3946902751922607, 8.0615816116333, 8.127193450927734, 0.5869867205619812, 23600, 8.886894979591382e-05]
2023-02-08 07:52:41,647	32k	INFO	====> Epoch: 945
2023-02-08 07:53:08,848	32k	INFO	====> Epoch: 946
2023-02-08 07:53:36,092	32k	INFO	====> Epoch: 947
2023-02-08 07:54:03,483	32k	INFO	====> Epoch: 948
2023-02-08 07:54:30,694	32k	INFO	====> Epoch: 949
2023-02-08 07:54:57,944	32k	INFO	====> Epoch: 950
2023-02-08 07:55:25,205	32k	INFO	====> Epoch: 951
2023-02-08 07:55:52,569	32k	INFO	====> Epoch: 952
2023-02-08 07:55:56,701	32k	INFO	Train Epoch: 953 [0%]
2023-02-08 07:55:56,702	32k	INFO	[2.3294248580932617, 2.5275936126708984, 11.161544799804688, 13.14801025390625, 0.7870250940322876, 23800, 8.87801197165649e-05]
2023-02-08 07:56:20,142	32k	INFO	====> Epoch: 953
2023-02-08 07:56:47,430	32k	INFO	====> Epoch: 954
2023-02-08 07:57:14,596	32k	INFO	====> Epoch: 955
2023-02-08 07:57:41,793	32k	INFO	====> Epoch: 956
2023-02-08 07:58:09,045	32k	INFO	====> Epoch: 957
2023-02-08 07:58:36,407	32k	INFO	====> Epoch: 958
2023-02-08 07:59:03,698	32k	INFO	====> Epoch: 959
2023-02-08 07:59:30,825	32k	INFO	====> Epoch: 960
2023-02-08 07:59:34,998	32k	INFO	Train Epoch: 961 [0%]
2023-02-08 07:59:34,999	32k	INFO	[1.9758830070495605, 3.160987138748169, 11.651006698608398, 9.965556144714355, 0.8251485824584961, 24000, 8.869137842844187e-05]
2023-02-08 07:59:38,918	32k	INFO	Saving model and optimizer state at iteration 961 to ./logs\32k\G_24000.pth
2023-02-08 07:59:56,277	32k	INFO	Saving model and optimizer state at iteration 961 to ./logs\32k\D_24000.pth
2023-02-08 08:00:23,198	32k	INFO	====> Epoch: 961
2023-02-08 08:00:50,705	32k	INFO	====> Epoch: 962
2023-02-08 08:01:17,842	32k	INFO	====> Epoch: 963
2023-02-08 08:01:45,088	32k	INFO	====> Epoch: 964
2023-02-08 08:02:12,325	32k	INFO	====> Epoch: 965
2023-02-08 08:02:39,531	32k	INFO	====> Epoch: 966
2023-02-08 08:03:06,809	32k	INFO	====> Epoch: 967
2023-02-08 08:03:34,020	32k	INFO	====> Epoch: 968
2023-02-08 08:03:38,309	32k	INFO	Train Epoch: 969 [0%]
2023-02-08 08:03:38,309	32k	INFO	[2.138465642929077, 3.172835111618042, 13.900092124938965, 14.320133209228516, 0.47410085797309875, 24200, 8.860272584279235e-05]
2023-02-08 08:04:01,617	32k	INFO	====> Epoch: 969
2023-02-08 08:04:28,929	32k	INFO	====> Epoch: 970
2023-02-08 08:04:56,211	32k	INFO	====> Epoch: 971
2023-02-08 08:05:23,516	32k	INFO	====> Epoch: 972
2023-02-08 08:05:50,658	32k	INFO	====> Epoch: 973
2023-02-08 08:06:17,931	32k	INFO	====> Epoch: 974
2023-02-08 08:06:45,141	32k	INFO	====> Epoch: 975
2023-02-08 08:07:12,395	32k	INFO	====> Epoch: 976
2023-02-08 08:07:16,529	32k	INFO	Train Epoch: 977 [0%]
2023-02-08 08:07:16,529	32k	INFO	[2.097750186920166, 2.9150352478027344, 13.533363342285156, 12.133801460266113, 0.9046599864959717, 24400, 8.851416187095268e-05]
2023-02-08 08:07:39,989	32k	INFO	====> Epoch: 977
2023-02-08 08:08:07,179	32k	INFO	====> Epoch: 978
2023-02-08 08:08:34,480	32k	INFO	====> Epoch: 979
2023-02-08 08:09:01,850	32k	INFO	====> Epoch: 980
2023-02-08 08:09:29,007	32k	INFO	====> Epoch: 981
2023-02-08 08:09:56,233	32k	INFO	====> Epoch: 982
2023-02-08 08:10:23,523	32k	INFO	====> Epoch: 983
2023-02-08 08:10:50,755	32k	INFO	====> Epoch: 984
2023-02-08 08:10:54,917	32k	INFO	Train Epoch: 985 [0%]
2023-02-08 08:10:54,917	32k	INFO	[2.072373628616333, 2.666022300720215, 11.58533763885498, 12.05649185180664, 0.6427943110466003, 24600, 8.842568642434779e-05]
2023-02-08 08:11:18,256	32k	INFO	====> Epoch: 985
2023-02-08 08:11:45,558	32k	INFO	====> Epoch: 986
2023-02-08 08:12:12,900	32k	INFO	====> Epoch: 987
2023-02-08 08:12:40,254	32k	INFO	====> Epoch: 988
2023-02-08 08:13:07,773	32k	INFO	====> Epoch: 989
2023-02-08 08:13:35,011	32k	INFO	====> Epoch: 990
2023-02-08 08:14:02,312	32k	INFO	====> Epoch: 991
2023-02-08 08:14:29,596	32k	INFO	====> Epoch: 992
2023-02-08 08:14:33,810	32k	INFO	Train Epoch: 993 [0%]
2023-02-08 08:14:33,810	32k	INFO	[2.4263553619384766, 2.690289258956909, 11.794257164001465, 12.23928451538086, 0.9979404807090759, 24800, 8.833729941449117e-05]
2023-02-08 08:14:57,128	32k	INFO	====> Epoch: 993
2023-02-08 08:15:24,425	32k	INFO	====> Epoch: 994
2023-02-08 08:15:51,717	32k	INFO	====> Epoch: 995
2023-02-08 08:16:19,010	32k	INFO	====> Epoch: 996
2023-02-08 08:16:46,506	32k	INFO	====> Epoch: 997
2023-02-08 08:17:13,873	32k	INFO	====> Epoch: 998
2023-02-08 08:17:41,142	32k	INFO	====> Epoch: 999
2023-02-08 08:18:08,518	32k	INFO	====> Epoch: 1000
2023-02-08 08:18:12,710	32k	INFO	Train Epoch: 1001 [0%]
2023-02-08 08:18:12,710	32k	INFO	[2.5876686573028564, 2.7822976112365723, 10.55124282836914, 12.793675422668457, 0.7661500573158264, 25000, 8.824900075298475e-05]
2023-02-08 08:18:16,609	32k	INFO	Saving model and optimizer state at iteration 1001 to ./logs\32k\G_25000.pth
2023-02-08 08:18:34,184	32k	INFO	Saving model and optimizer state at iteration 1001 to ./logs\32k\D_25000.pth
2023-02-08 08:19:01,479	32k	INFO	====> Epoch: 1001
2023-02-08 08:19:29,142	32k	INFO	====> Epoch: 1002
2023-02-08 08:19:56,490	32k	INFO	====> Epoch: 1003
2023-02-08 08:20:23,914	32k	INFO	====> Epoch: 1004
2023-02-08 08:20:51,295	32k	INFO	====> Epoch: 1005
2023-02-08 08:21:18,551	32k	INFO	====> Epoch: 1006
2023-02-08 08:21:45,939	32k	INFO	====> Epoch: 1007
2023-02-08 08:22:13,279	32k	INFO	====> Epoch: 1008
2023-02-08 08:22:17,480	32k	INFO	Train Epoch: 1009 [0%]
2023-02-08 08:22:17,480	32k	INFO	[2.1397104263305664, 2.7283523082733154, 10.646180152893066, 10.870260238647461, 0.8270248770713806, 25200, 8.816079035151885e-05]
2023-02-08 08:22:40,903	32k	INFO	====> Epoch: 1009
2023-02-08 08:23:08,314	32k	INFO	====> Epoch: 1010
2023-02-08 08:23:35,513	32k	INFO	====> Epoch: 1011
2023-02-08 08:24:02,710	32k	INFO	====> Epoch: 1012
2023-02-08 08:24:29,957	32k	INFO	====> Epoch: 1013
2023-02-08 08:24:57,518	32k	INFO	====> Epoch: 1014
2023-02-08 08:25:24,769	32k	INFO	====> Epoch: 1015
2023-02-08 08:25:52,111	32k	INFO	====> Epoch: 1016
2023-02-08 08:25:56,366	32k	INFO	Train Epoch: 1017 [0%]
2023-02-08 08:25:56,366	32k	INFO	[2.0259082317352295, 2.9211881160736084, 12.846309661865234, 12.543252944946289, 0.5400490760803223, 25400, 8.8072668121872e-05]
2023-02-08 08:26:19,750	32k	INFO	====> Epoch: 1017
2023-02-08 08:26:47,000	32k	INFO	====> Epoch: 1018
2023-02-08 08:27:14,271	32k	INFO	====> Epoch: 1019
2023-02-08 08:27:41,600	32k	INFO	====> Epoch: 1020
2023-02-08 08:28:08,836	32k	INFO	====> Epoch: 1021
2023-02-08 08:28:36,111	32k	INFO	====> Epoch: 1022
2023-02-08 08:29:03,455	32k	INFO	====> Epoch: 1023
2023-02-08 08:29:30,763	32k	INFO	====> Epoch: 1024
2023-02-08 08:29:35,016	32k	INFO	Train Epoch: 1025 [0%]
2023-02-08 08:29:35,017	32k	INFO	[2.1472370624542236, 2.424119472503662, 10.71376895904541, 11.404861450195312, 0.5614844560623169, 25600, 8.798463397591094e-05]
2023-02-08 08:29:58,351	32k	INFO	====> Epoch: 1025
2023-02-08 08:30:25,675	32k	INFO	====> Epoch: 1026
2023-02-08 08:30:52,976	32k	INFO	====> Epoch: 1027
2023-02-08 08:31:20,219	32k	INFO	====> Epoch: 1028
2023-02-08 08:31:47,438	32k	INFO	====> Epoch: 1029
2023-02-08 08:32:14,705	32k	INFO	====> Epoch: 1030
2023-02-08 08:32:41,977	32k	INFO	====> Epoch: 1031
2023-02-08 08:33:09,243	32k	INFO	====> Epoch: 1032
2023-02-08 08:33:13,370	32k	INFO	Train Epoch: 1033 [0%]
2023-02-08 08:33:13,370	32k	INFO	[2.0088284015655518, 2.9206719398498535, 12.668709754943848, 12.078943252563477, 0.5453837513923645, 25800, 8.789668782559057e-05]
2023-02-08 08:33:36,770	32k	INFO	====> Epoch: 1033
2023-02-08 08:34:04,056	32k	INFO	====> Epoch: 1034
2023-02-08 08:34:31,389	32k	INFO	====> Epoch: 1035
2023-02-08 08:34:58,633	32k	INFO	====> Epoch: 1036
2023-02-08 08:35:25,869	32k	INFO	====> Epoch: 1037
2023-02-08 08:35:53,120	32k	INFO	====> Epoch: 1038
2023-02-08 08:36:20,363	32k	INFO	====> Epoch: 1039
2023-02-08 08:36:47,555	32k	INFO	====> Epoch: 1040
2023-02-08 08:36:51,727	32k	INFO	Train Epoch: 1041 [0%]
2023-02-08 08:36:51,728	32k	INFO	[2.0444955825805664, 2.750715732574463, 13.184952735900879, 13.762874603271484, 0.4980016350746155, 26000, 8.780882958295367e-05]
2023-02-08 08:36:55,687	32k	INFO	Saving model and optimizer state at iteration 1041 to ./logs\32k\G_26000.pth
2023-02-08 08:37:14,073	32k	INFO	Saving model and optimizer state at iteration 1041 to ./logs\32k\D_26000.pth
2023-02-08 08:37:40,878	32k	INFO	====> Epoch: 1041
2023-02-08 08:38:08,553	32k	INFO	====> Epoch: 1042
2023-02-08 08:38:35,938	32k	INFO	====> Epoch: 1043
2023-02-08 08:39:03,251	32k	INFO	====> Epoch: 1044
2023-02-08 08:39:30,572	32k	INFO	====> Epoch: 1045
2023-02-08 08:39:57,842	32k	INFO	====> Epoch: 1046
2023-02-08 08:40:25,267	32k	INFO	====> Epoch: 1047
2023-02-08 08:40:52,633	32k	INFO	====> Epoch: 1048
2023-02-08 08:40:56,796	32k	INFO	Train Epoch: 1049 [0%]
2023-02-08 08:40:56,796	32k	INFO	[1.9338710308074951, 2.9720139503479004, 13.7679443359375, 15.719523429870605, 0.962178111076355, 26200, 8.772105916013104e-05]
2023-02-08 08:41:20,181	32k	INFO	====> Epoch: 1049
2023-02-08 08:41:47,611	32k	INFO	====> Epoch: 1050
2023-02-08 08:42:14,943	32k	INFO	====> Epoch: 1051
2023-02-08 08:42:42,203	32k	INFO	====> Epoch: 1052
2023-02-08 08:43:09,505	32k	INFO	====> Epoch: 1053
2023-02-08 08:43:36,758	32k	INFO	====> Epoch: 1054
2023-02-08 08:44:04,149	32k	INFO	====> Epoch: 1055
2023-02-08 08:44:31,437	32k	INFO	====> Epoch: 1056
2023-02-08 08:44:35,677	32k	INFO	Train Epoch: 1057 [0%]
2023-02-08 08:44:35,677	32k	INFO	[2.2200984954833984, 2.6627626419067383, 9.940957069396973, 11.727323532104492, 1.0280492305755615, 26400, 8.763337646934128e-05]
2023-02-08 08:44:59,147	32k	INFO	====> Epoch: 1057
2023-02-08 08:45:26,470	32k	INFO	====> Epoch: 1058
2023-02-08 08:45:53,808	32k	INFO	====> Epoch: 1059
2023-02-08 08:46:21,094	32k	INFO	====> Epoch: 1060
2023-02-08 08:46:48,404	32k	INFO	====> Epoch: 1061
2023-02-08 08:47:15,800	32k	INFO	====> Epoch: 1062
2023-02-08 08:47:43,113	32k	INFO	====> Epoch: 1063
2023-02-08 08:48:10,592	32k	INFO	====> Epoch: 1064
2023-02-08 08:48:14,786	32k	INFO	Train Epoch: 1065 [0%]
2023-02-08 08:48:14,787	32k	INFO	[2.07511043548584, 3.0303125381469727, 13.379612922668457, 12.57458782196045, 0.7273290157318115, 26600, 8.75457814228907e-05]
2023-02-08 08:48:38,192	32k	INFO	====> Epoch: 1065
2023-02-08 08:49:05,375	32k	INFO	====> Epoch: 1066
2023-02-08 08:49:32,647	32k	INFO	====> Epoch: 1067
2023-02-08 08:49:59,953	32k	INFO	====> Epoch: 1068
2023-02-08 08:50:27,382	32k	INFO	====> Epoch: 1069
2023-02-08 08:50:54,709	32k	INFO	====> Epoch: 1070
2023-02-08 08:51:22,044	32k	INFO	====> Epoch: 1071
2023-02-08 08:51:49,474	32k	INFO	====> Epoch: 1072
2023-02-08 08:51:53,707	32k	INFO	Train Epoch: 1073 [0%]
2023-02-08 08:51:53,707	32k	INFO	[1.8783951997756958, 3.084500789642334, 13.80427360534668, 14.753433227539062, 0.6739394664764404, 26800, 8.745827393317333e-05]
2023-02-08 08:52:17,002	32k	INFO	====> Epoch: 1073
2023-02-08 08:52:44,266	32k	INFO	====> Epoch: 1074
2023-02-08 08:53:11,569	32k	INFO	====> Epoch: 1075
2023-02-08 08:53:38,934	32k	INFO	====> Epoch: 1076
2023-02-08 08:54:06,300	32k	INFO	====> Epoch: 1077
2023-02-08 08:54:33,602	32k	INFO	====> Epoch: 1078
2023-02-08 08:55:00,930	32k	INFO	====> Epoch: 1079
2023-02-08 08:55:28,301	32k	INFO	====> Epoch: 1080
2023-02-08 08:55:32,629	32k	INFO	Train Epoch: 1081 [0%]
2023-02-08 08:55:32,629	32k	INFO	[1.9368703365325928, 2.902247905731201, 12.92327880859375, 12.42314624786377, 0.6588108539581299, 27000, 8.737085391267073e-05]
2023-02-08 08:55:36,604	32k	INFO	Saving model and optimizer state at iteration 1081 to ./logs\32k\G_27000.pth
2023-02-08 08:55:53,992	32k	INFO	Saving model and optimizer state at iteration 1081 to ./logs\32k\D_27000.pth
2023-02-08 08:56:20,830	32k	INFO	====> Epoch: 1081
2023-02-08 08:56:48,348	32k	INFO	====> Epoch: 1082
2023-02-08 08:57:15,618	32k	INFO	====> Epoch: 1083
2023-02-08 08:57:42,943	32k	INFO	====> Epoch: 1084
2023-02-08 08:58:10,239	32k	INFO	====> Epoch: 1085
2023-02-08 08:58:37,564	32k	INFO	====> Epoch: 1086
2023-02-08 08:59:04,811	32k	INFO	====> Epoch: 1087
2023-02-08 08:59:32,263	32k	INFO	====> Epoch: 1088
2023-02-08 08:59:36,503	32k	INFO	Train Epoch: 1089 [0%]
2023-02-08 08:59:36,503	32k	INFO	[1.930861473083496, 2.8057973384857178, 9.907691955566406, 8.866781234741211, 0.74677973985672, 27200, 8.728352127395191e-05]
2023-02-08 08:59:59,937	32k	INFO	====> Epoch: 1089
2023-02-08 09:00:27,246	32k	INFO	====> Epoch: 1090
2023-02-08 09:00:54,522	32k	INFO	====> Epoch: 1091
2023-02-08 09:01:21,866	32k	INFO	====> Epoch: 1092
2023-02-08 09:01:49,115	32k	INFO	====> Epoch: 1093
2023-02-08 09:02:16,699	32k	INFO	====> Epoch: 1094
2023-02-08 09:02:47,025	32k	INFO	====> Epoch: 1095
2023-02-08 09:03:19,680	32k	INFO	====> Epoch: 1096
2023-02-08 09:03:28,160	32k	INFO	Train Epoch: 1097 [0%]
2023-02-08 09:03:28,160	32k	INFO	[1.9526515007019043, 2.8769798278808594, 11.579916954040527, 13.494232177734375, 0.8831942081451416, 27400, 8.719627592967335e-05]
2023-02-08 09:03:51,831	32k	INFO	====> Epoch: 1097
2023-02-08 09:04:19,627	32k	INFO	====> Epoch: 1098
2023-02-08 09:04:48,504	32k	INFO	====> Epoch: 1099
2023-02-08 09:05:18,722	32k	INFO	====> Epoch: 1100
2023-02-08 09:05:46,499	32k	INFO	====> Epoch: 1101
2023-02-08 09:06:18,321	32k	INFO	====> Epoch: 1102
2023-02-08 09:06:46,092	32k	INFO	====> Epoch: 1103
2023-02-08 09:07:17,237	32k	INFO	====> Epoch: 1104
2023-02-08 09:07:23,489	32k	INFO	Train Epoch: 1105 [0%]
2023-02-08 09:07:23,489	32k	INFO	[2.1993227005004883, 2.925412178039551, 11.52192211151123, 12.491584777832031, 0.8091538548469543, 27600, 8.710911779257877e-05]
2023-02-08 09:07:47,081	32k	INFO	====> Epoch: 1105
2023-02-08 09:08:17,489	32k	INFO	====> Epoch: 1106
2023-02-08 09:08:44,774	32k	INFO	====> Epoch: 1107
2023-02-08 09:09:12,050	32k	INFO	====> Epoch: 1108
2023-02-08 09:09:39,409	32k	INFO	====> Epoch: 1109
2023-02-08 09:10:06,675	32k	INFO	====> Epoch: 1110
2023-02-08 09:10:34,015	32k	INFO	====> Epoch: 1111
2023-02-08 09:11:01,346	32k	INFO	====> Epoch: 1112
2023-02-08 09:11:05,519	32k	INFO	Train Epoch: 1113 [0%]
2023-02-08 09:11:05,520	32k	INFO	[2.093938112258911, 2.765923261642456, 13.566853523254395, 14.921608924865723, 0.9083810448646545, 27800, 8.702204677549915e-05]
2023-02-08 09:11:28,979	32k	INFO	====> Epoch: 1113
2023-02-08 09:11:56,340	32k	INFO	====> Epoch: 1114
2023-02-08 09:12:23,667	32k	INFO	====> Epoch: 1115
2023-02-08 09:12:50,990	32k	INFO	====> Epoch: 1116
2023-02-08 09:13:18,171	32k	INFO	====> Epoch: 1117
2023-02-08 09:13:45,383	32k	INFO	====> Epoch: 1118
2023-02-08 09:14:12,657	32k	INFO	====> Epoch: 1119
2023-02-08 09:14:39,919	32k	INFO	====> Epoch: 1120
2023-02-08 09:14:44,076	32k	INFO	Train Epoch: 1121 [0%]
2023-02-08 09:14:44,076	32k	INFO	[1.939689040184021, 2.9580938816070557, 12.957777976989746, 14.081619262695312, 0.4155716001987457, 28000, 8.693506279135254e-05]
2023-02-08 09:14:48,037	32k	INFO	Saving model and optimizer state at iteration 1121 to ./logs\32k\G_28000.pth
2023-02-08 09:15:03,773	32k	INFO	Saving model and optimizer state at iteration 1121 to ./logs\32k\D_28000.pth
2023-02-08 09:15:30,687	32k	INFO	====> Epoch: 1121
2023-02-08 09:15:58,257	32k	INFO	====> Epoch: 1122
2023-02-08 09:16:25,624	32k	INFO	====> Epoch: 1123
2023-02-08 09:16:52,916	32k	INFO	====> Epoch: 1124
2023-02-08 09:17:20,363	32k	INFO	====> Epoch: 1125
2023-02-08 09:17:47,610	32k	INFO	====> Epoch: 1126
2023-02-08 09:18:14,894	32k	INFO	====> Epoch: 1127
2023-02-08 09:18:42,144	32k	INFO	====> Epoch: 1128
2023-02-08 09:18:46,300	32k	INFO	Train Epoch: 1129 [0%]
2023-02-08 09:18:46,300	32k	INFO	[2.170471429824829, 2.83182954788208, 9.845183372497559, 12.07849407196045, 0.6592841744422913, 28200, 8.684816575314411e-05]
2023-02-08 09:19:09,722	32k	INFO	====> Epoch: 1129
2023-02-08 09:19:36,970	32k	INFO	====> Epoch: 1130
2023-02-08 09:20:04,358	32k	INFO	====> Epoch: 1131
2023-02-08 09:20:31,704	32k	INFO	====> Epoch: 1132
2023-02-08 09:20:58,987	32k	INFO	====> Epoch: 1133
2023-02-08 09:21:26,387	32k	INFO	====> Epoch: 1134
2023-02-08 09:21:53,698	32k	INFO	====> Epoch: 1135
2023-02-08 09:22:21,054	32k	INFO	====> Epoch: 1136
2023-02-08 09:22:25,185	32k	INFO	Train Epoch: 1137 [0%]
2023-02-08 09:22:25,186	32k	INFO	[2.0932042598724365, 2.6467278003692627, 12.108390808105469, 14.304733276367188, 0.5893175601959229, 28400, 8.676135557396592e-05]
2023-02-08 09:22:48,627	32k	INFO	====> Epoch: 1137
2023-02-08 09:23:15,825	32k	INFO	====> Epoch: 1138
2023-02-08 09:23:43,101	32k	INFO	====> Epoch: 1139
2023-02-08 09:24:10,470	32k	INFO	====> Epoch: 1140
2023-02-08 09:24:37,736	32k	INFO	====> Epoch: 1141
2023-02-08 09:25:05,111	32k	INFO	====> Epoch: 1142
2023-02-08 09:25:32,500	32k	INFO	====> Epoch: 1143
2023-02-08 09:25:59,702	32k	INFO	====> Epoch: 1144
2023-02-08 09:26:03,925	32k	INFO	Train Epoch: 1145 [0%]
2023-02-08 09:26:03,925	32k	INFO	[2.020642042160034, 2.946762800216675, 13.239181518554688, 14.173029899597168, 0.9229944944381714, 28600, 8.667463216699696e-05]
2023-02-08 09:26:27,308	32k	INFO	====> Epoch: 1145
2023-02-08 09:26:54,665	32k	INFO	====> Epoch: 1146
2023-02-08 09:27:21,940	32k	INFO	====> Epoch: 1147
2023-02-08 09:27:49,299	32k	INFO	====> Epoch: 1148
2023-02-08 09:28:16,662	32k	INFO	====> Epoch: 1149
2023-02-08 09:28:43,902	32k	INFO	====> Epoch: 1150
2023-02-08 09:29:11,140	32k	INFO	====> Epoch: 1151
2023-02-08 09:29:38,437	32k	INFO	====> Epoch: 1152
2023-02-08 09:29:42,617	32k	INFO	Train Epoch: 1153 [0%]
2023-02-08 09:29:42,618	32k	INFO	[2.0177698135375977, 2.736988067626953, 12.197057723999023, 13.291068077087402, 0.38744091987609863, 28800, 8.658799544550295e-05]
2023-02-08 09:30:06,006	32k	INFO	====> Epoch: 1153
2023-02-08 09:30:33,185	32k	INFO	====> Epoch: 1154
2023-02-08 09:31:00,555	32k	INFO	====> Epoch: 1155
2023-02-08 09:31:27,876	32k	INFO	====> Epoch: 1156
2023-02-08 09:31:55,161	32k	INFO	====> Epoch: 1157
2023-02-08 09:32:22,522	32k	INFO	====> Epoch: 1158
2023-02-08 09:32:49,827	32k	INFO	====> Epoch: 1159
2023-02-08 09:33:17,089	32k	INFO	====> Epoch: 1160
2023-02-08 09:33:21,273	32k	INFO	Train Epoch: 1161 [0%]
2023-02-08 09:33:21,273	32k	INFO	[2.0370748043060303, 2.5785083770751953, 10.376286506652832, 10.084558486938477, 0.36720308661460876, 29000, 8.650144532283634e-05]
2023-02-08 09:33:25,355	32k	INFO	Saving model and optimizer state at iteration 1161 to ./logs\32k\G_29000.pth
2023-02-08 09:33:42,024	32k	INFO	Saving model and optimizer state at iteration 1161 to ./logs\32k\D_29000.pth
2023-02-08 09:34:09,100	32k	INFO	====> Epoch: 1161
2023-02-08 09:34:36,667	32k	INFO	====> Epoch: 1162
2023-02-08 09:35:04,033	32k	INFO	====> Epoch: 1163
2023-02-08 09:35:31,512	32k	INFO	====> Epoch: 1164
2023-02-08 09:35:58,789	32k	INFO	====> Epoch: 1165
2023-02-08 09:36:26,155	32k	INFO	====> Epoch: 1166
2023-02-08 09:36:53,568	32k	INFO	====> Epoch: 1167
2023-02-08 09:37:20,843	32k	INFO	====> Epoch: 1168
2023-02-08 09:37:25,022	32k	INFO	Train Epoch: 1169 [0%]
2023-02-08 09:37:25,023	32k	INFO	[1.8578214645385742, 2.9382271766662598, 13.127798080444336, 12.872542381286621, 0.3781052231788635, 29200, 8.641498171243619e-05]
2023-02-08 09:37:48,370	32k	INFO	====> Epoch: 1169
2023-02-08 09:38:15,620	32k	INFO	====> Epoch: 1170
2023-02-08 09:38:42,863	32k	INFO	====> Epoch: 1171
2023-02-08 09:39:10,182	32k	INFO	====> Epoch: 1172
2023-02-08 09:39:37,587	32k	INFO	====> Epoch: 1173
2023-02-08 09:40:04,979	32k	INFO	====> Epoch: 1174
2023-02-08 09:40:32,272	32k	INFO	====> Epoch: 1175
2023-02-08 09:40:59,657	32k	INFO	====> Epoch: 1176
2023-02-08 09:41:03,853	32k	INFO	Train Epoch: 1177 [0%]
2023-02-08 09:41:03,853	32k	INFO	[2.2148563861846924, 2.729956865310669, 13.944257736206055, 14.39206600189209, 0.6249511241912842, 29400, 8.632860452782808e-05]
2023-02-08 09:41:27,299	32k	INFO	====> Epoch: 1177
2023-02-08 09:41:54,744	32k	INFO	====> Epoch: 1178
2023-02-08 09:42:22,087	32k	INFO	====> Epoch: 1179
2023-02-08 09:42:49,385	32k	INFO	====> Epoch: 1180
2023-02-08 09:43:16,789	32k	INFO	====> Epoch: 1181
2023-02-08 09:43:44,194	32k	INFO	====> Epoch: 1182
2023-02-08 09:44:11,543	32k	INFO	====> Epoch: 1183
2023-02-08 09:44:38,891	32k	INFO	====> Epoch: 1184
2023-02-08 09:44:43,104	32k	INFO	Train Epoch: 1185 [0%]
2023-02-08 09:44:43,104	32k	INFO	[2.087315320968628, 2.8312559127807617, 13.00662612915039, 12.535429954528809, 0.42030754685401917, 29600, 8.624231368262399e-05]
2023-02-08 09:45:06,549	32k	INFO	====> Epoch: 1185
2023-02-08 09:45:33,924	32k	INFO	====> Epoch: 1186
2023-02-08 09:46:01,306	32k	INFO	====> Epoch: 1187
2023-02-08 09:46:28,639	32k	INFO	====> Epoch: 1188
2023-02-08 09:46:55,852	32k	INFO	====> Epoch: 1189
2023-02-08 09:47:23,179	32k	INFO	====> Epoch: 1190
2023-02-08 09:47:50,518	32k	INFO	====> Epoch: 1191
2023-02-08 09:48:17,866	32k	INFO	====> Epoch: 1192
2023-02-08 09:48:22,081	32k	INFO	Train Epoch: 1193 [0%]
2023-02-08 09:48:22,082	32k	INFO	[2.194960117340088, 2.787987232208252, 11.701970100402832, 14.090788841247559, 1.0976876020431519, 29800, 8.61561090905223e-05]
2023-02-08 09:48:45,557	32k	INFO	====> Epoch: 1193
2023-02-08 09:49:12,834	32k	INFO	====> Epoch: 1194
2023-02-08 09:49:40,194	32k	INFO	====> Epoch: 1195
2023-02-08 09:50:07,547	32k	INFO	====> Epoch: 1196
2023-02-08 09:50:34,974	32k	INFO	====> Epoch: 1197
2023-02-08 09:51:02,277	32k	INFO	====> Epoch: 1198
2023-02-08 09:51:29,654	32k	INFO	====> Epoch: 1199
2023-02-08 09:51:57,080	32k	INFO	====> Epoch: 1200
2023-02-08 09:52:01,241	32k	INFO	Train Epoch: 1201 [0%]
2023-02-08 09:52:01,242	32k	INFO	[1.8811185359954834, 3.1942968368530273, 10.10826587677002, 10.795889854431152, 0.7415468692779541, 30000, 8.60699906653076e-05]
2023-02-08 09:52:05,281	32k	INFO	Saving model and optimizer state at iteration 1201 to ./logs\32k\G_30000.pth
2023-02-08 09:52:21,971	32k	INFO	Saving model and optimizer state at iteration 1201 to ./logs\32k\D_30000.pth
2023-02-08 09:52:49,111	32k	INFO	====> Epoch: 1201
2023-02-08 09:53:16,809	32k	INFO	====> Epoch: 1202
2023-02-08 09:53:44,035	32k	INFO	====> Epoch: 1203
2023-02-08 09:54:11,415	32k	INFO	====> Epoch: 1204
2023-02-08 09:54:38,755	32k	INFO	====> Epoch: 1205
2023-02-08 09:55:05,980	32k	INFO	====> Epoch: 1206
2023-02-08 09:55:33,321	32k	INFO	====> Epoch: 1207
2023-02-08 09:56:00,724	32k	INFO	====> Epoch: 1208
2023-02-08 09:56:04,929	32k	INFO	Train Epoch: 1209 [0%]
2023-02-08 09:56:04,929	32k	INFO	[1.927981972694397, 3.1606884002685547, 12.743103981018066, 13.808783531188965, 0.794529378414154, 30200, 8.598395832085074e-05]
2023-02-08 09:56:28,394	32k	INFO	====> Epoch: 1209
2023-02-08 09:56:55,828	32k	INFO	====> Epoch: 1210
2023-02-08 09:57:23,225	32k	INFO	====> Epoch: 1211
2023-02-08 09:57:50,699	32k	INFO	====> Epoch: 1212
2023-02-08 09:58:18,076	32k	INFO	====> Epoch: 1213
2023-02-08 09:58:45,467	32k	INFO	====> Epoch: 1214
2023-02-08 09:59:12,717	32k	INFO	====> Epoch: 1215
2023-02-08 09:59:39,966	32k	INFO	====> Epoch: 1216
2023-02-08 09:59:44,234	32k	INFO	Train Epoch: 1217 [0%]
2023-02-08 09:59:44,234	32k	INFO	[2.3044164180755615, 2.463995933532715, 11.896080017089844, 13.589179992675781, 0.7965167760848999, 30400, 8.589801197110862e-05]
2023-02-08 10:00:07,757	32k	INFO	====> Epoch: 1217
2023-02-08 10:00:35,013	32k	INFO	====> Epoch: 1218
2023-02-08 10:01:02,349	32k	INFO	====> Epoch: 1219
2023-02-08 10:01:29,602	32k	INFO	====> Epoch: 1220
2023-02-08 10:01:56,831	32k	INFO	====> Epoch: 1221
2023-02-08 10:02:24,068	32k	INFO	====> Epoch: 1222
2023-02-08 10:02:51,403	32k	INFO	====> Epoch: 1223
2023-02-08 10:03:18,796	32k	INFO	====> Epoch: 1224
2023-02-08 10:03:22,974	32k	INFO	Train Epoch: 1225 [0%]
2023-02-08 10:03:22,974	32k	INFO	[2.268793821334839, 2.453453302383423, 9.844642639160156, 11.24267578125, 0.5464154481887817, 30600, 8.581215153012409e-05]
2023-02-08 10:03:46,340	32k	INFO	====> Epoch: 1225
2023-02-08 10:04:13,666	32k	INFO	====> Epoch: 1226
2023-02-08 10:04:41,052	32k	INFO	====> Epoch: 1227
2023-02-08 10:05:08,496	32k	INFO	====> Epoch: 1228
2023-02-08 10:05:35,873	32k	INFO	====> Epoch: 1229
2023-02-08 10:06:03,196	32k	INFO	====> Epoch: 1230
2023-02-08 10:06:30,564	32k	INFO	====> Epoch: 1231
2023-02-08 10:06:57,831	32k	INFO	====> Epoch: 1232
2023-02-08 10:07:02,031	32k	INFO	Train Epoch: 1233 [0%]
2023-02-08 10:07:02,031	32k	INFO	[1.8697799444198608, 2.801100492477417, 13.420161247253418, 14.821958541870117, 0.4556283950805664, 30800, 8.572637691202598e-05]
2023-02-08 10:07:25,437	32k	INFO	====> Epoch: 1233
2023-02-08 10:07:52,724	32k	INFO	====> Epoch: 1234
2023-02-08 10:08:20,016	32k	INFO	====> Epoch: 1235
2023-02-08 10:08:47,474	32k	INFO	====> Epoch: 1236
2023-02-08 10:09:14,777	32k	INFO	====> Epoch: 1237
2023-02-08 10:09:42,177	32k	INFO	====> Epoch: 1238
2023-02-08 10:10:09,489	32k	INFO	====> Epoch: 1239
2023-02-08 10:10:36,728	32k	INFO	====> Epoch: 1240
2023-02-08 10:10:40,928	32k	INFO	Train Epoch: 1241 [0%]
2023-02-08 10:10:40,928	32k	INFO	[1.9147690534591675, 3.203052282333374, 14.652215957641602, 15.598044395446777, 0.8918375372886658, 31000, 8.564068803102896e-05]
2023-02-08 10:10:44,934	32k	INFO	Saving model and optimizer state at iteration 1241 to ./logs\32k\G_31000.pth
2023-02-08 10:11:01,634	32k	INFO	Saving model and optimizer state at iteration 1241 to ./logs\32k\D_31000.pth
2023-02-08 10:11:28,464	32k	INFO	====> Epoch: 1241
2023-02-08 10:11:56,080	32k	INFO	====> Epoch: 1242
2023-02-08 10:12:23,417	32k	INFO	====> Epoch: 1243
2023-02-08 10:12:50,789	32k	INFO	====> Epoch: 1244
2023-02-08 10:13:18,246	32k	INFO	====> Epoch: 1245
2023-02-08 10:13:45,431	32k	INFO	====> Epoch: 1246
2023-02-08 10:14:12,781	32k	INFO	====> Epoch: 1247
2023-02-08 10:14:40,095	32k	INFO	====> Epoch: 1248
2023-02-08 10:14:44,280	32k	INFO	Train Epoch: 1249 [0%]
2023-02-08 10:14:44,280	32k	INFO	[2.015170097351074, 2.924136161804199, 10.694207191467285, 9.059477806091309, 1.2454259395599365, 31200, 8.555508480143342e-05]
2023-02-08 10:15:07,677	32k	INFO	====> Epoch: 1249
2023-02-08 10:15:35,019	32k	INFO	====> Epoch: 1250
2023-02-08 10:16:02,439	32k	INFO	====> Epoch: 1251
2023-02-08 10:16:29,611	32k	INFO	====> Epoch: 1252
2023-02-08 10:16:56,870	32k	INFO	====> Epoch: 1253
2023-02-08 10:17:24,326	32k	INFO	====> Epoch: 1254
2023-02-08 10:17:51,605	32k	INFO	====> Epoch: 1255
2023-02-08 10:18:19,047	32k	INFO	====> Epoch: 1256
2023-02-08 10:18:23,253	32k	INFO	Train Epoch: 1257 [0%]
2023-02-08 10:18:23,254	32k	INFO	[2.1035544872283936, 2.792524814605713, 12.794790267944336, 12.204944610595703, 1.0216072797775269, 31400, 8.546956713762543e-05]
2023-02-08 10:18:46,720	32k	INFO	====> Epoch: 1257
2023-02-08 10:19:14,023	32k	INFO	====> Epoch: 1258
2023-02-08 10:19:41,320	32k	INFO	====> Epoch: 1259
2023-02-08 10:20:13,741	32k	INFO	====> Epoch: 1260
2023-02-08 10:20:42,518	32k	INFO	====> Epoch: 1261
2023-02-08 10:21:11,894	32k	INFO	====> Epoch: 1262
2023-02-08 10:21:47,753	32k	INFO	====> Epoch: 1263
2023-02-08 10:22:20,808	32k	INFO	====> Epoch: 1264
2023-02-08 10:22:25,009	32k	INFO	Train Epoch: 1265 [0%]
2023-02-08 10:22:25,010	32k	INFO	[2.013395071029663, 2.8495562076568604, 12.468149185180664, 11.81267261505127, 0.8265888690948486, 31600, 8.538413495407661e-05]
2023-02-08 10:22:58,544	32k	INFO	====> Epoch: 1265
2023-02-08 10:23:29,056	32k	INFO	====> Epoch: 1266
2023-02-08 10:23:56,321	32k	INFO	====> Epoch: 1267
2023-02-08 10:24:23,505	32k	INFO	====> Epoch: 1268
2023-02-08 10:24:50,857	32k	INFO	====> Epoch: 1269
2023-02-08 10:25:18,113	32k	INFO	====> Epoch: 1270
2023-02-08 10:25:45,432	32k	INFO	====> Epoch: 1271
2023-02-08 10:26:12,688	32k	INFO	====> Epoch: 1272
2023-02-08 10:26:16,831	32k	INFO	Train Epoch: 1273 [0%]
2023-02-08 10:26:16,832	32k	INFO	[1.9882725477218628, 2.6884682178497314, 12.922835350036621, 12.582452774047852, 0.8043097853660583, 31800, 8.529878816534412e-05]
2023-02-08 10:26:40,255	32k	INFO	====> Epoch: 1273
2023-02-08 10:27:07,552	32k	INFO	====> Epoch: 1274
2023-02-08 10:27:34,933	32k	INFO	====> Epoch: 1275
2023-02-08 10:28:02,179	32k	INFO	====> Epoch: 1276
2023-02-08 10:28:29,371	32k	INFO	====> Epoch: 1277
2023-02-08 10:28:56,581	32k	INFO	====> Epoch: 1278
2023-02-08 10:29:23,756	32k	INFO	====> Epoch: 1279
2023-02-08 10:30:03,311	32k	INFO	====> Epoch: 1280
2023-02-08 10:30:07,950	32k	INFO	Train Epoch: 1281 [0%]
2023-02-08 10:30:07,950	32k	INFO	[1.8800674676895142, 3.2542593479156494, 11.380488395690918, 12.834031105041504, 0.5087487101554871, 32000, 8.521352668607046e-05]
2023-02-08 10:30:12,228	32k	INFO	Saving model and optimizer state at iteration 1281 to ./logs\32k\G_32000.pth
2023-02-08 10:30:26,442	32k	INFO	Saving model and optimizer state at iteration 1281 to ./logs\32k\D_32000.pth
2023-02-08 10:30:58,442	32k	INFO	====> Epoch: 1281