QuckDrawGAN / pretrained_output /training_logs.log
ivanovot
init
6b599fd
2024-10-22 20:46:18,783 - Lodadind data
2024-10-22 20:46:41,624 - Using device: cuda
2024-10-22 20:46:41,710 - Start train
2024-10-22 20:47:12,939 - Epoch [1/100], Batch [469/469], Loss_D: 0.2357, Loss_G: 0.6456
2024-10-22 20:47:44,361 - Epoch [2/100], Batch [469/469], Loss_D: 0.0845, Loss_G: 0.8505
2024-10-22 20:48:15,698 - Epoch [3/100], Batch [469/469], Loss_D: 0.5342, Loss_G: 0.4654
2024-10-22 20:48:47,414 - Epoch [4/100], Batch [469/469], Loss_D: 0.1407, Loss_G: 0.6517
2024-10-22 20:49:19,053 - Epoch [5/100], Batch [469/469], Loss_D: 0.2737, Loss_G: 0.6624
2024-10-22 20:49:50,159 - Epoch [6/100], Batch [469/469], Loss_D: 0.4493, Loss_G: 0.5388
2024-10-22 20:50:20,524 - Epoch [7/100], Batch [469/469], Loss_D: 0.3012, Loss_G: 0.5224
2024-10-22 20:50:50,792 - Epoch [8/100], Batch [469/469], Loss_D: 0.2237, Loss_G: 0.5728
2024-10-22 20:51:21,609 - Epoch [9/100], Batch [469/469], Loss_D: 0.4069, Loss_G: 0.8186
2024-10-22 20:51:51,940 - Epoch [10/100], Batch [469/469], Loss_D: 0.2774, Loss_G: 0.8371
2024-10-22 20:52:22,319 - Epoch [11/100], Batch [469/469], Loss_D: 0.3095, Loss_G: 0.6746
2024-10-22 20:52:53,089 - Epoch [12/100], Batch [469/469], Loss_D: 0.3624, Loss_G: 0.6893
2024-10-22 20:53:23,667 - Epoch [13/100], Batch [469/469], Loss_D: 0.0555, Loss_G: 0.5063
2024-10-22 20:53:53,992 - Epoch [14/100], Batch [469/469], Loss_D: 0.3214, Loss_G: 0.6874
2024-10-22 20:54:24,337 - Epoch [15/100], Batch [469/469], Loss_D: 0.3996, Loss_G: 0.7867
2024-10-22 20:54:54,678 - Epoch [16/100], Batch [469/469], Loss_D: 0.3704, Loss_G: 0.7810
2024-10-22 20:55:25,018 - Epoch [17/100], Batch [469/469], Loss_D: 0.2363, Loss_G: 0.7805
2024-10-22 20:55:55,853 - Epoch [18/100], Batch [469/469], Loss_D: 0.1914, Loss_G: 0.7242
2024-10-22 20:56:26,163 - Epoch [19/100], Batch [469/469], Loss_D: 0.2174, Loss_G: 0.5945
2024-10-22 20:56:56,776 - Epoch [20/100], Batch [469/469], Loss_D: 0.1038, Loss_G: 0.6807
2024-10-22 20:57:27,420 - Epoch [21/100], Batch [469/469], Loss_D: 0.1360, Loss_G: 0.6402
2024-10-22 20:57:58,045 - Epoch [22/100], Batch [469/469], Loss_D: 0.2149, Loss_G: 0.6247
2024-10-22 20:58:28,345 - Epoch [23/100], Batch [469/469], Loss_D: 0.2966, Loss_G: 0.7582
2024-10-22 20:58:59,570 - Epoch [24/100], Batch [469/469], Loss_D: 0.4792, Loss_G: 0.4935
2024-10-22 20:59:30,106 - Epoch [25/100], Batch [469/469], Loss_D: 0.1862, Loss_G: 0.5280
2024-10-22 21:00:01,345 - Epoch [26/100], Batch [469/469], Loss_D: 0.2429, Loss_G: 0.7221
2024-10-22 21:00:32,596 - Epoch [27/100], Batch [469/469], Loss_D: 0.1608, Loss_G: 0.6689
2024-10-22 21:01:02,907 - Epoch [28/100], Batch [469/469], Loss_D: 0.3707, Loss_G: 0.6196
2024-10-22 21:01:33,277 - Epoch [29/100], Batch [469/469], Loss_D: 0.3974, Loss_G: 0.7429
2024-10-22 21:02:03,728 - Epoch [30/100], Batch [469/469], Loss_D: 0.1752, Loss_G: 0.5156
2024-10-22 21:02:34,281 - Epoch [31/100], Batch [469/469], Loss_D: 0.1800, Loss_G: 0.5937
2024-10-22 21:03:04,891 - Epoch [32/100], Batch [469/469], Loss_D: 0.2021, Loss_G: 0.5945
2024-10-22 21:03:36,546 - Epoch [33/100], Batch [469/469], Loss_D: 0.1095, Loss_G: 0.8008
2024-10-22 21:04:06,482 - Epoch [34/100], Batch [469/469], Loss_D: 0.2057, Loss_G: 0.6817
2024-10-22 21:04:37,275 - Epoch [35/100], Batch [469/469], Loss_D: 0.3957, Loss_G: 0.8120
2024-10-22 21:05:09,022 - Epoch [36/100], Batch [469/469], Loss_D: 0.2212, Loss_G: 0.5342
2024-10-22 21:05:41,793 - Epoch [37/100], Batch [469/469], Loss_D: 0.1708, Loss_G: 0.7387
2024-10-22 21:06:13,644 - Epoch [38/100], Batch [469/469], Loss_D: 0.2813, Loss_G: 0.5862
2024-10-22 21:06:44,255 - Epoch [39/100], Batch [469/469], Loss_D: 0.3603, Loss_G: 0.5560
2024-10-22 21:07:14,763 - Epoch [40/100], Batch [469/469], Loss_D: 0.1354, Loss_G: 0.5184
2024-10-22 21:07:45,404 - Epoch [41/100], Batch [469/469], Loss_D: 0.3317, Loss_G: 0.7580
2024-10-22 21:08:16,153 - Epoch [42/100], Batch [469/469], Loss_D: 0.4953, Loss_G: 0.3403
2024-10-22 21:08:46,499 - Epoch [43/100], Batch [469/469], Loss_D: 0.1746, Loss_G: 0.5162
2024-10-22 21:09:16,777 - Epoch [44/100], Batch [469/469], Loss_D: 0.4298, Loss_G: 0.7153
2024-10-22 21:09:47,954 - Epoch [45/100], Batch [469/469], Loss_D: 0.1553, Loss_G: 0.5628
2024-10-22 21:10:18,361 - Epoch [46/100], Batch [469/469], Loss_D: 0.2322, Loss_G: 0.7577
2024-10-22 21:10:48,607 - Epoch [47/100], Batch [469/469], Loss_D: 0.4900, Loss_G: 0.2370
2024-10-22 21:11:19,368 - Epoch [48/100], Batch [469/469], Loss_D: 0.2106, Loss_G: 0.6747
2024-10-22 21:11:50,326 - Epoch [49/100], Batch [469/469], Loss_D: 0.3368, Loss_G: 0.8195
2024-10-22 21:12:21,397 - Epoch [50/100], Batch [469/469], Loss_D: 0.2430, Loss_G: 0.6201
2024-10-22 21:12:53,127 - Epoch [51/100], Batch [469/469], Loss_D: 0.1312, Loss_G: 0.5016
2024-10-22 21:13:24,509 - Epoch [52/100], Batch [469/469], Loss_D: 0.2923, Loss_G: 0.8598
2024-10-22 21:13:54,773 - Epoch [53/100], Batch [469/469], Loss_D: 0.4443, Loss_G: 0.3379
2024-10-22 21:14:24,376 - Epoch [54/100], Batch [469/469], Loss_D: 0.0724, Loss_G: 0.5998
2024-10-22 21:14:53,755 - Epoch [55/100], Batch [469/469], Loss_D: 0.4116, Loss_G: 0.4523
2024-10-22 21:15:23,129 - Epoch [56/100], Batch [469/469], Loss_D: 0.1418, Loss_G: 0.6783
2024-10-22 21:15:52,513 - Epoch [57/100], Batch [469/469], Loss_D: 0.2035, Loss_G: 0.5773
2024-10-22 21:16:21,877 - Epoch [58/100], Batch [469/469], Loss_D: 0.0987, Loss_G: 0.7975
2024-10-22 21:16:51,250 - Epoch [59/100], Batch [469/469], Loss_D: 0.3031, Loss_G: 0.7860
2024-10-22 21:17:20,629 - Epoch [60/100], Batch [469/469], Loss_D: 0.2889, Loss_G: 0.6679
2024-10-22 21:17:50,003 - Epoch [61/100], Batch [469/469], Loss_D: 0.2187, Loss_G: 0.5018
2024-10-22 21:18:19,373 - Epoch [62/100], Batch [469/469], Loss_D: 0.1392, Loss_G: 0.4457
2024-10-22 21:18:48,746 - Epoch [63/100], Batch [469/469], Loss_D: 0.2681, Loss_G: 0.8638
2024-10-22 21:19:19,150 - Epoch [64/100], Batch [469/469], Loss_D: 0.2004, Loss_G: 0.7712
2024-10-22 21:19:49,767 - Epoch [65/100], Batch [469/469], Loss_D: 0.3238, Loss_G: 0.5592
2024-10-22 21:20:19,145 - Epoch [66/100], Batch [469/469], Loss_D: 0.2861, Loss_G: 0.8833
2024-10-22 21:20:48,512 - Epoch [67/100], Batch [469/469], Loss_D: 0.2191, Loss_G: 0.5182
2024-10-22 21:21:17,874 - Epoch [68/100], Batch [469/469], Loss_D: 0.2530, Loss_G: 0.6281
2024-10-22 21:21:47,236 - Epoch [69/100], Batch [469/469], Loss_D: 0.4905, Loss_G: 0.6754
2024-10-22 21:22:16,593 - Epoch [70/100], Batch [469/469], Loss_D: 0.3803, Loss_G: 0.6533
2024-10-22 21:22:45,953 - Epoch [71/100], Batch [469/469], Loss_D: 0.0733, Loss_G: 0.5627
2024-10-22 21:23:15,355 - Epoch [72/100], Batch [469/469], Loss_D: 0.1307, Loss_G: 0.6862
2024-10-22 21:23:44,717 - Epoch [73/100], Batch [469/469], Loss_D: 0.1982, Loss_G: 0.6108
2024-10-22 21:24:14,095 - Epoch [74/100], Batch [469/469], Loss_D: 0.1413, Loss_G: 0.5810
2024-10-22 21:24:43,463 - Epoch [75/100], Batch [469/469], Loss_D: 0.2061, Loss_G: 0.6669
2024-10-22 21:25:14,445 - Epoch [76/100], Batch [469/469], Loss_D: 0.1874, Loss_G: 0.6704
2024-10-22 21:25:44,807 - Epoch [77/100], Batch [469/469], Loss_D: 0.1832, Loss_G: 0.5598
2024-10-22 21:26:14,187 - Epoch [78/100], Batch [469/469], Loss_D: 0.2969, Loss_G: 0.7973
2024-10-22 21:26:43,547 - Epoch [79/100], Batch [469/469], Loss_D: 0.3312, Loss_G: 0.5341
2024-10-22 21:27:12,955 - Epoch [80/100], Batch [469/469], Loss_D: 0.1982, Loss_G: 0.8777
2024-10-22 21:27:42,320 - Epoch [81/100], Batch [469/469], Loss_D: 0.3367, Loss_G: 0.7962
2024-10-22 21:28:11,679 - Epoch [82/100], Batch [469/469], Loss_D: 0.1327, Loss_G: 0.6267
2024-10-22 21:28:41,056 - Epoch [83/100], Batch [469/469], Loss_D: 0.1279, Loss_G: 0.6073
2024-10-22 21:29:10,443 - Epoch [84/100], Batch [469/469], Loss_D: 0.2912, Loss_G: 0.6855
2024-10-22 21:29:39,812 - Epoch [85/100], Batch [469/469], Loss_D: 0.3438, Loss_G: 0.7762
2024-10-22 21:30:09,185 - Epoch [86/100], Batch [469/469], Loss_D: 0.1983, Loss_G: 0.4470
2024-10-22 21:30:38,956 - Epoch [87/100], Batch [469/469], Loss_D: 0.2298, Loss_G: 0.8061
2024-10-22 21:31:09,175 - Epoch [88/100], Batch [469/469], Loss_D: 0.3434, Loss_G: 0.6383
2024-10-22 21:31:39,594 - Epoch [89/100], Batch [469/469], Loss_D: 0.1607, Loss_G: 0.6672
2024-10-22 21:32:08,987 - Epoch [90/100], Batch [469/469], Loss_D: 0.3369, Loss_G: 0.4305
2024-10-22 21:32:38,374 - Epoch [91/100], Batch [469/469], Loss_D: 0.0762, Loss_G: 0.6941
2024-10-22 21:33:07,753 - Epoch [92/100], Batch [469/469], Loss_D: 0.5284, Loss_G: 0.8560
2024-10-22 21:33:37,135 - Epoch [93/100], Batch [469/469], Loss_D: 0.3745, Loss_G: 0.5909
2024-10-22 21:34:06,513 - Epoch [94/100], Batch [469/469], Loss_D: 0.0671, Loss_G: 0.6384
2024-10-22 21:34:35,913 - Epoch [95/100], Batch [469/469], Loss_D: 0.1428, Loss_G: 0.7203
2024-10-22 21:35:05,290 - Epoch [96/100], Batch [469/469], Loss_D: 0.2742, Loss_G: 0.6134
2024-10-22 21:35:34,693 - Epoch [97/100], Batch [469/469], Loss_D: 0.1224, Loss_G: 0.7076
2024-10-22 21:36:04,086 - Epoch [98/100], Batch [469/469], Loss_D: 0.3681, Loss_G: 0.5916
2024-10-22 21:36:34,006 - Epoch [99/100], Batch [469/469], Loss_D: 0.5593, Loss_G: 0.8537
2024-10-22 21:37:04,420 - Epoch [100/100], Batch [469/469], Loss_D: 0.0893, Loss_G: 0.6289