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log_store.txt
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log_store.txt
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Iter: 0 Generator Loss: 26.7315 Discriminator Loss: 0.2568
Iter: 50 Generator Loss: 27.0556 Discriminator Loss: 0.2571
Iter: 100 Generator Loss: 24.5244 Discriminator Loss: 0.2455
Iter: 150 Generator Loss: 25.1674 Discriminator Loss: 0.2069
Epoch: 0 Generator Loss: 26.8925 Discriminator Loss: 0.20567816495895386, Time: 32.25
Iter: 162 Generator Loss: 23.5394 Discriminator Loss: 0.2032
Iter: 212 Generator Loss: 26.3088 Discriminator Loss: 0.1544
Iter: 0 Generator Loss: 23.6915 Discriminator Loss: 0.2520
Iter: 50 Generator Loss: 26.0097 Discriminator Loss: 0.2487
Iter: 100 Generator Loss: 26.3427 Discriminator Loss: 0.2366
Iter: 150 Generator Loss: 25.3274 Discriminator Loss: 0.2134
Epoch: 0 Generator Loss: 26.8591 Discriminator Loss: 0.20604395866394043, Time: 34.21
Iter: 162 Generator Loss: 24.9529 Discriminator Loss: 0.2060
Iter: 212 Generator Loss: 23.6489 Discriminator Loss: 0.1769
Iter: 262 Generator Loss: 23.7646 Discriminator Loss: 0.1708
Iter: 312 Generator Loss: 24.8514 Discriminator Loss: 0.1307
Epoch: 1 Generator Loss: 23.8755 Discriminator Loss: 0.13353511691093445, Time: 34.77
Iter: 324 Generator Loss: 22.0296 Discriminator Loss: 0.1379
Iter: 374 Generator Loss: 25.1033 Discriminator Loss: 0.1219
Iter: 424 Generator Loss: 23.8592 Discriminator Loss: 0.0920
Iter: 474 Generator Loss: 24.9656 Discriminator Loss: 0.0846
Epoch: 2 Generator Loss: 23.9157 Discriminator Loss: 0.08075457066297531, Time: 35.08
Iter: 486 Generator Loss: 24.9593 Discriminator Loss: 0.0808
Iter: 536 Generator Loss: 25.1172 Discriminator Loss: 0.0694
Iter: 586 Generator Loss: 24.2597 Discriminator Loss: 0.0664
Iter: 636 Generator Loss: 25.3826 Discriminator Loss: 0.0454
Epoch: 3 Generator Loss: 24.4113 Discriminator Loss: 0.06773345172405243, Time: 34.78
Iter: 648 Generator Loss: 23.0834 Discriminator Loss: 0.0636
Iter: 698 Generator Loss: 25.2559 Discriminator Loss: 0.0543
Iter: 748 Generator Loss: 24.6973 Discriminator Loss: 0.0588
Iter: 798 Generator Loss: 25.5233 Discriminator Loss: 0.0373
Epoch: 4 Generator Loss: 25.1043 Discriminator Loss: 0.02980145439505577, Time: 34.53
Iter: 810 Generator Loss: 26.5408 Discriminator Loss: 0.0315
Iter: 860 Generator Loss: 26.6924 Discriminator Loss: 0.0336
Iter: 910 Generator Loss: 27.5871 Discriminator Loss: 0.0263
Iter: 960 Generator Loss: 25.7496 Discriminator Loss: 0.0319
Epoch: 5 Generator Loss: 24.7929 Discriminator Loss: 0.018559008836746216, Time: 34.25
Iter: 972 Generator Loss: 24.1679 Discriminator Loss: 0.0265
Iter: 1022 Generator Loss: 26.4529 Discriminator Loss: 0.0276
Iter: 1072 Generator Loss: 25.2076 Discriminator Loss: 0.0182
Iter: 1122 Generator Loss: 26.9143 Discriminator Loss: 0.0208
Epoch: 6 Generator Loss: 24.6764 Discriminator Loss: 0.02253805100917816, Time: 34.87
Iter: 1134 Generator Loss: 26.6290 Discriminator Loss: 0.0218
Iter: 1184 Generator Loss: 24.3039 Discriminator Loss: 0.0192
Iter: 1234 Generator Loss: 24.3681 Discriminator Loss: 0.0248
Iter: 1284 Generator Loss: 25.7890 Discriminator Loss: 0.0121
Epoch: 7 Generator Loss: 23.9825 Discriminator Loss: 0.011451993137598038, Time: 34.04
Iter: 1296 Generator Loss: 24.5352 Discriminator Loss: 0.0092
Iter: 1346 Generator Loss: 25.8904 Discriminator Loss: 0.0455
Iter: 1396 Generator Loss: 26.9687 Discriminator Loss: 0.0212
Iter: 1446 Generator Loss: 26.4572 Discriminator Loss: 0.0194
Epoch: 8 Generator Loss: 24.8901 Discriminator Loss: 0.018645035102963448, Time: 34.75
Iter: 1458 Generator Loss: 24.7829 Discriminator Loss: 0.0160
Iter: 1508 Generator Loss: 25.3939 Discriminator Loss: 0.0155
Iter: 0 Generator Loss: 24.8988 Discriminator Loss: 0.2513
Iter: 50 Generator Loss: 27.4865 Discriminator Loss: 0.0730
Iter: 100 Generator Loss: 24.6510 Discriminator Loss: 0.0397
Iter: 150 Generator Loss: 27.0208 Discriminator Loss: 0.0236
Epoch: 0 Generator Loss: 24.3558 Discriminator Loss: 0.02132941223680973, Time: 57.05
Iter: 162 Generator Loss: 24.1527 Discriminator Loss: 0.0218
Iter: 212 Generator Loss: 24.8931 Discriminator Loss: 0.0155
Iter: 262 Generator Loss: 25.6910 Discriminator Loss: 0.0107
Iter: 312 Generator Loss: 27.0719 Discriminator Loss: 0.0083
Epoch: 1 Generator Loss: 26.2513 Discriminator Loss: 0.007786253932863474, Time: 56.89
Iter: 324 Generator Loss: 26.8265 Discriminator Loss: 0.0082
Iter: 374 Generator Loss: 25.8815 Discriminator Loss: 0.0062
Iter: 0 Generator Loss: 28.6001 Discriminator Loss: 0.5400
Iter: 50 Generator Loss: 26.6001 Discriminator Loss: 0.2043
Iter: 100 Generator Loss: 27.1650 Discriminator Loss: 0.1018
Iter: 150 Generator Loss: 29.0117 Discriminator Loss: 0.0583
Epoch: 0 Generator Loss: 26.9155 Discriminator Loss: 0.07131430506706238, Time: 57.34
Iter: 162 Generator Loss: 27.3230 Discriminator Loss: 0.0936
Iter: 212 Generator Loss: 24.7270 Discriminator Loss: 0.0613
Iter: 262 Generator Loss: 29.3712 Discriminator Loss: 0.1034
Iter: 312 Generator Loss: 29.5765 Discriminator Loss: 0.0903
Epoch: 1 Generator Loss: 31.5261 Discriminator Loss: 0.12426985800266266, Time: 57.38
Iter: 324 Generator Loss: 27.4397 Discriminator Loss: 0.0697
Iter: 374 Generator Loss: 31.4686 Discriminator Loss: 0.0614
Iter: 424 Generator Loss: 27.0700 Discriminator Loss: 0.0588
Iter: 474 Generator Loss: 30.3983 Discriminator Loss: 0.1114
Epoch: 2 Generator Loss: 28.2570 Discriminator Loss: 0.13921964168548584, Time: 57.33
Iter: 486 Generator Loss: 29.5902 Discriminator Loss: 0.0834
Iter: 536 Generator Loss: 26.7946 Discriminator Loss: 0.0354
Iter: 586 Generator Loss: 25.5295 Discriminator Loss: 0.0583
Iter: 636 Generator Loss: 26.7811 Discriminator Loss: 0.0109
Epoch: 3 Generator Loss: 27.5321 Discriminator Loss: 0.013239676132798195, Time: 57.79
Iter: 648 Generator Loss: 27.7348 Discriminator Loss: 0.0077
Iter: 698 Generator Loss: 26.7191 Discriminator Loss: 0.0071
Iter: 748 Generator Loss: 25.1523 Discriminator Loss: 0.0206
Iter: 798 Generator Loss: 25.5792 Discriminator Loss: 0.0094
Epoch: 4 Generator Loss: 26.5077 Discriminator Loss: 0.009847738780081272, Time: 57.49
Iter: 810 Generator Loss: 29.0041 Discriminator Loss: 0.0123
Iter: 860 Generator Loss: 24.5779 Discriminator Loss: 0.0087
Iter: 910 Generator Loss: 27.4740 Discriminator Loss: 0.0113
Iter: 960 Generator Loss: 26.9845 Discriminator Loss: 0.0101
Epoch: 5 Generator Loss: 25.9680 Discriminator Loss: 0.010994352400302887, Time: 57.96
Iter: 972 Generator Loss: 25.3195 Discriminator Loss: 0.0070
Iter: 1022 Generator Loss: 25.9473 Discriminator Loss: 0.0043
Iter: 1072 Generator Loss: 27.1810 Discriminator Loss: 0.0043
Iter: 1122 Generator Loss: 27.9954 Discriminator Loss: 0.0118
Epoch: 6 Generator Loss: 25.2341 Discriminator Loss: 0.005406282376497984, Time: 57.73
Iter: 1134 Generator Loss: 26.8316 Discriminator Loss: 0.0097
Iter: 0 Generator Loss: 23.6263 Discriminator Loss: 0.2504
Iter: 0 Generator Loss: 26.1882 Discriminator Loss: 0.2512
Iter: 50 Generator Loss: 25.2513 Discriminator Loss: 0.0810
Iter: 100 Generator Loss: 24.0457 Discriminator Loss: 0.0413
Iter: 150 Generator Loss: 25.9356 Discriminator Loss: 0.0233
Epoch: 0 Generator Loss: 24.9281 Discriminator Loss: 0.021725289523601532, Time: 55.18
Iter: 162 Generator Loss: 25.4826 Discriminator Loss: 0.0220
Iter: 212 Generator Loss: 26.1998 Discriminator Loss: 0.0148
Iter: 262 Generator Loss: 25.0313 Discriminator Loss: 0.0110
Iter: 312 Generator Loss: 26.5635 Discriminator Loss: 0.0087
Epoch: 1 Generator Loss: 23.6618 Discriminator Loss: 0.008148206397891045, Time: 54.54
Iter: 324 Generator Loss: 28.0705 Discriminator Loss: 0.0078
Iter: 374 Generator Loss: 26.8061 Discriminator Loss: 0.0064
Iter: 424 Generator Loss: 26.7704 Discriminator Loss: 0.0049
Iter: 474 Generator Loss: 25.8157 Discriminator Loss: 0.0041
Epoch: 2 Generator Loss: 25.2514 Discriminator Loss: 0.004075998440384865, Time: 54.88
Iter: 486 Generator Loss: 26.5340 Discriminator Loss: 0.0042
Iter: 536 Generator Loss: 25.0236 Discriminator Loss: 0.0034
Iter: 586 Generator Loss: 25.1114 Discriminator Loss: 0.0029
Iter: 636 Generator Loss: 25.4468 Discriminator Loss: 0.0024
Epoch: 3 Generator Loss: 25.4347 Discriminator Loss: 0.0023197561968117952, Time: 54.21
Iter: 648 Generator Loss: 26.9325 Discriminator Loss: 0.0023
Iter: 698 Generator Loss: 25.8713 Discriminator Loss: 0.0021
Iter: 748 Generator Loss: 26.4347 Discriminator Loss: 0.0018
Iter: 798 Generator Loss: 26.8624 Discriminator Loss: 0.0016
Epoch: 4 Generator Loss: 26.1218 Discriminator Loss: 0.0015582337509840727, Time: 54.78
Iter: 810 Generator Loss: 26.5428 Discriminator Loss: 0.0015
Iter: 860 Generator Loss: 24.8325 Discriminator Loss: 0.0014
Iter: 910 Generator Loss: 25.5002 Discriminator Loss: 0.0013
Iter: 960 Generator Loss: 24.5958 Discriminator Loss: 0.0011
Epoch: 5 Generator Loss: 25.9767 Discriminator Loss: 0.0010938927298411727, Time: 56.03
Iter: 972 Generator Loss: 25.4257 Discriminator Loss: 0.0011
Iter: 1022 Generator Loss: 25.4716 Discriminator Loss: 0.0010
Iter: 1072 Generator Loss: 25.7190 Discriminator Loss: 0.0009
Iter: 1122 Generator Loss: 25.5106 Discriminator Loss: 0.0008
Epoch: 6 Generator Loss: 24.0531 Discriminator Loss: 0.0008240631432272494, Time: 54.70
Iter: 1134 Generator Loss: 24.5238 Discriminator Loss: 0.0008
Iter: 1184 Generator Loss: 25.5578 Discriminator Loss: 0.0007
Iter: 1234 Generator Loss: 26.8256 Discriminator Loss: 0.0007
Iter: 1284 Generator Loss: 25.4754 Discriminator Loss: 0.0006
Epoch: 7 Generator Loss: 26.5453 Discriminator Loss: 0.0006017656996846199, Time: 54.94
Iter: 1296 Generator Loss: 24.9646 Discriminator Loss: 0.0006
Iter: 1346 Generator Loss: 26.9983 Discriminator Loss: 0.0006
Iter: 1396 Generator Loss: 25.6558 Discriminator Loss: 0.0006
Iter: 1446 Generator Loss: 27.4899 Discriminator Loss: 0.0005
Epoch: 8 Generator Loss: 24.9153 Discriminator Loss: 0.00048486440209671855, Time: 55.17
Iter: 1458 Generator Loss: 26.7841 Discriminator Loss: 0.0005
Iter: 1508 Generator Loss: 24.8424 Discriminator Loss: 0.0005
Iter: 1558 Generator Loss: 26.8017 Discriminator Loss: 0.0004
Iter: 0 Generator Loss: 29.2041 Discriminator Loss: 0.5203
Iter: 50 Generator Loss: 27.5115 Discriminator Loss: 0.1292
Iter: 100 Generator Loss: 31.1783 Discriminator Loss: 0.0613
Iter: 150 Generator Loss: 24.8649 Discriminator Loss: 0.1205
Epoch: 0 Generator Loss: 28.0038 Discriminator Loss: 0.08909539878368378, Time: 54.41
Iter: 162 Generator Loss: 27.7776 Discriminator Loss: 0.0567
Iter: 212 Generator Loss: 27.4840 Discriminator Loss: 0.0502
Iter: 262 Generator Loss: 25.4547 Discriminator Loss: 0.0858
Iter: 312 Generator Loss: 27.7585 Discriminator Loss: 0.0704
Epoch: 1 Generator Loss: 27.2997 Discriminator Loss: 0.06171578913927078, Time: 55.26
Iter: 324 Generator Loss: 24.5035 Discriminator Loss: 0.0548
Iter: 374 Generator Loss: 28.0665 Discriminator Loss: 0.0376