
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.95)
=> Add worker SGDMWorker(index=1, momentum=0.95)
=> Add worker SGDMWorker(index=2, momentum=0.95)
=> Add worker SGDMWorker(index=3, momentum=0.95)
=> Add worker SGDMWorker(index=4, momentum=0.95)
=> Add worker SGDMWorker(index=5, momentum=0.95)
=> Add worker SGDMWorker(index=6, momentum=0.95)
=> Add worker SGDMWorker(index=7, momentum=0.95)
=> Add worker SGDMWorker(index=8, momentum=0.95)
=> Add worker SGDMWorker(index=9, momentum=0.95)
=> Add worker SGDMWorker(index=10, momentum=0.95)
=> Add worker ByzantineWorker(index=11)
=> Add worker ByzantineWorker(index=12)

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=2)

Train epoch 1
[E 1B0  |    416/60000 (  1%) ] Loss: 2.3120 top1=  8.2386

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([0, 0, 0, 0, 0], device='cuda:0')
Worker 1 has targets: tensor([1, 0, 1, 1, 1], device='cuda:0')
Worker 2 has targets: tensor([1, 1, 2, 2, 2], device='cuda:0')
Worker 3 has targets: tensor([2, 2, 2, 2, 2], device='cuda:0')
Worker 4 has targets: tensor([3, 3, 3, 3, 3], device='cuda:0')
Worker 5 has targets: tensor([4, 3, 4, 4, 4], device='cuda:0')
Worker 6 has targets: tensor([5, 4, 5, 5, 5], device='cuda:0')
Worker 7 has targets: tensor([5, 5, 6, 5, 6], device='cuda:0')
Worker 8 has targets: tensor([6, 6, 6, 6, 6], device='cuda:0')
Worker 9 has targets: tensor([7, 7, 7, 7, 7], device='cuda:0')
Worker 10 has targets: tensor([8, 7, 8, 8, 8], device='cuda:0')
Worker 11 has targets: tensor([9, 8, 9, 9, 9], device='cuda:0')
Worker 12 has targets: tensor([9, 9, 9, 9, 9], device='cuda:0')



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.000


[E 1B10 |   4576/60000 (  8%) ] Loss: 1.9698 top1= 44.0341

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.027



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.042


[E 1B20 |   8736/60000 ( 15%) ] Loss: 1.6687 top1= 49.7159

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.405



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.016
clique2_consensus_distance=0.276



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=10.5906 top1= 18.6699


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8025 top1= 45.9235


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.2297 top1= 15.4547

Train epoch 2
[E 2B0  |    416/60000 (  1%) ] Loss: 1.4288 top1= 48.2955

=== Log global consensus distance @ E2B0 ===
consensus_distance=1.120



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=0.942


[E 2B10 |   4576/60000 (  8%) ] Loss: 0.8903 top1= 70.4545

=== Log global consensus distance @ E2B10 ===
consensus_distance=2.260



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=2.255


[E 2B20 |   8736/60000 ( 15%) ] Loss: 0.5881 top1= 84.3750

=== Log global consensus distance @ E2B20 ===
consensus_distance=3.536



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=3.470



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.4312 top1= 19.0505


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8381 top1= 44.9820


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.9093 top1= 39.6635

Train epoch 3
[E 3B0  |    416/60000 (  1%) ] Loss: 0.5118 top1= 84.6591

=== Log global consensus distance @ E3B0 ===
consensus_distance=4.885



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=4.553


[E 3B10 |   4576/60000 (  8%) ] Loss: 0.5012 top1= 82.6705

=== Log global consensus distance @ E3B10 ===
consensus_distance=6.356



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=5.656


[E 3B20 |   8736/60000 ( 15%) ] Loss: 0.3146 top1= 90.3409

=== Log global consensus distance @ E3B20 ===
consensus_distance=7.891



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=6.639



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=21.0999 top1= 19.3810


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6219 top1= 48.2672


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.4441 top1= 40.4547

Train epoch 4
[E 4B0  |    416/60000 (  1%) ] Loss: 0.3073 top1= 89.7727

=== Log global consensus distance @ E4B0 ===
consensus_distance=9.438



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=7.408


[E 4B10 |   4576/60000 (  8%) ] Loss: 0.3459 top1= 88.3523

=== Log global consensus distance @ E4B10 ===
consensus_distance=11.007



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=7.983


[E 4B20 |   8736/60000 ( 15%) ] Loss: 0.2695 top1= 92.0455

=== Log global consensus distance @ E4B20 ===
consensus_distance=12.642



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=8.502



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=45.4819 top1= 19.4211


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9588 top1= 47.8966


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.0938 top1= 39.9339

Train epoch 5
[E 5B0  |    416/60000 (  1%) ] Loss: 0.2729 top1= 91.1932

=== Log global consensus distance @ E5B0 ===
consensus_distance=14.350



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=9.005


[E 5B10 |   4576/60000 (  8%) ] Loss: 0.2959 top1= 92.8977

=== Log global consensus distance @ E5B10 ===
consensus_distance=16.139



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=9.509


[E 5B20 |   8736/60000 ( 15%) ] Loss: 0.1846 top1= 95.4545

=== Log global consensus distance @ E5B20 ===
consensus_distance=18.025



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=10.043



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=69.3992 top1= 19.4812


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9212 top1= 47.1254


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.9866 top1= 40.1843

Train epoch 6
[E 6B0  |    416/60000 (  1%) ] Loss: 0.2242 top1= 92.3295

=== Log global consensus distance @ E6B0 ===
consensus_distance=19.968



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=10.507


[E 6B10 |   4576/60000 (  8%) ] Loss: 0.2932 top1= 93.1818

=== Log global consensus distance @ E6B10 ===
consensus_distance=21.995



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=10.975


[E 6B20 |   8736/60000 ( 15%) ] Loss: 0.1839 top1= 95.4545

=== Log global consensus distance @ E6B20 ===
consensus_distance=24.121



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=11.493



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=91.6562 top1= 19.5413


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5579 top1= 46.4042


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9599 top1= 41.3562

Train epoch 7
[E 7B0  |    416/60000 (  1%) ] Loss: 0.2078 top1= 93.1818

=== Log global consensus distance @ E7B0 ===
consensus_distance=26.319



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=12.016


[E 7B10 |   4576/60000 (  8%) ] Loss: 0.2469 top1= 92.8977

=== Log global consensus distance @ E7B10 ===
consensus_distance=28.621



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=12.575


[E 7B20 |   8736/60000 ( 15%) ] Loss: 0.1176 top1= 96.3068

=== Log global consensus distance @ E7B20 ===
consensus_distance=30.993



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=13.089



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=122.7558 top1= 19.4812


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9940 top1= 46.8049


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.8465 top1= 42.1875

Train epoch 8
[E 8B0  |    416/60000 (  1%) ] Loss: 0.1820 top1= 96.0227

=== Log global consensus distance @ E8B0 ===
consensus_distance=33.470



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=13.680


[E 8B10 |   4576/60000 (  8%) ] Loss: 0.2224 top1= 94.0341

=== Log global consensus distance @ E8B10 ===
consensus_distance=36.093



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=14.399


[E 8B20 |   8736/60000 ( 15%) ] Loss: 0.1958 top1= 96.3068

=== Log global consensus distance @ E8B20 ===
consensus_distance=38.866



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=15.015



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=124.3788 top1= 19.5713


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.4750 top1= 46.8950


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.4589 top1= 42.5280

Train epoch 9
[E 9B0  |    416/60000 (  1%) ] Loss: 0.1474 top1= 96.8750

=== Log global consensus distance @ E9B0 ===
consensus_distance=41.699



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=15.610


[E 9B10 |   4576/60000 (  8%) ] Loss: 0.2642 top1= 95.4545

=== Log global consensus distance @ E9B10 ===
consensus_distance=44.722



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=16.447


[E 9B20 |   8736/60000 ( 15%) ] Loss: 0.0964 top1= 97.4432

=== Log global consensus distance @ E9B20 ===
consensus_distance=47.790



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=17.160



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=139.4214 top1= 19.6014


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.1114 top1= 46.4944


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.0379 top1= 42.7484

Train epoch 10
[E10B0  |    416/60000 (  1%) ] Loss: 0.1704 top1= 95.7386

=== Log global consensus distance @ E10B0 ===
consensus_distance=50.917



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=17.814


[E10B10 |   4576/60000 (  8%) ] Loss: 0.1579 top1= 94.8864

=== Log global consensus distance @ E10B10 ===
consensus_distance=54.193



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=18.761


[E10B20 |   8736/60000 ( 15%) ] Loss: 0.4469 top1= 98.5795

=== Log global consensus distance @ E10B20 ===
consensus_distance=57.524



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=19.606



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=182.8609 top1= 19.6214


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5184 top1= 46.1238


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.5798 top1= 41.8069

Train epoch 11
[E11B0  |    416/60000 (  1%) ] Loss: 0.1176 top1= 96.3068

=== Log global consensus distance @ E11B0 ===
consensus_distance=60.852



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=20.262


[E11B10 |   4576/60000 (  8%) ] Loss: 0.1721 top1= 95.1705

=== Log global consensus distance @ E11B10 ===
consensus_distance=64.365



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=21.162


[E11B20 |   8736/60000 ( 15%) ] Loss: 0.1198 top1= 96.3068

=== Log global consensus distance @ E11B20 ===
consensus_distance=67.965



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=22.102



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=147.4933 top1= 19.6514


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.0495 top1= 46.1538


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9436 top1= 39.6534

Train epoch 12
[E12B0  |    416/60000 (  1%) ] Loss: 0.1473 top1= 96.3068

=== Log global consensus distance @ E12B0 ===
consensus_distance=71.538



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=22.715


[E12B10 |   4576/60000 (  8%) ] Loss: 0.1944 top1= 94.8864

=== Log global consensus distance @ E12B10 ===
consensus_distance=75.281



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=23.645


[E12B20 |   8736/60000 ( 15%) ] Loss: 0.0941 top1= 97.1591

=== Log global consensus distance @ E12B20 ===
consensus_distance=79.105



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=24.542



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=264.3321 top1= 19.6615


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.7560 top1= 45.6030


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4389 top1= 41.7568

Train epoch 13
[E13B0  |    416/60000 (  1%) ] Loss: 0.1069 top1= 97.1591

=== Log global consensus distance @ E13B0 ===
consensus_distance=82.964



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=25.311


[E13B10 |   4576/60000 (  8%) ] Loss: 0.2468 top1= 92.0455

=== Log global consensus distance @ E13B10 ===
consensus_distance=86.835



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=25.830


[E13B20 |   8736/60000 ( 15%) ] Loss: 0.0989 top1= 96.3068

=== Log global consensus distance @ E13B20 ===
consensus_distance=90.933



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=26.842



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=273.9642 top1= 19.7216


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.7017 top1= 45.2224


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.1530 top1= 45.4828

Train epoch 14
[E14B0  |    416/60000 (  1%) ] Loss: 0.0991 top1= 96.8750

=== Log global consensus distance @ E14B0 ===
consensus_distance=95.099



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=27.698


[E14B10 |   4576/60000 (  8%) ] Loss: 0.1727 top1= 95.1705

=== Log global consensus distance @ E14B10 ===
consensus_distance=99.291



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=28.245


[E14B20 |   8736/60000 ( 15%) ] Loss: 0.0831 top1= 98.5795

=== Log global consensus distance @ E14B20 ===
consensus_distance=103.624



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=29.004



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=432.9693 top1= 19.6114


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.4507 top1= 46.3341


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9694 top1= 42.1575

Train epoch 15
[E15B0  |    416/60000 (  1%) ] Loss: 0.1406 top1= 96.8750

=== Log global consensus distance @ E15B0 ===
consensus_distance=108.126



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=29.950


[E15B10 |   4576/60000 (  8%) ] Loss: 0.1428 top1= 95.4545

=== Log global consensus distance @ E15B10 ===
consensus_distance=112.695



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=30.829


[E15B20 |   8736/60000 ( 15%) ] Loss: 0.0913 top1= 97.7273

=== Log global consensus distance @ E15B20 ===
consensus_distance=117.239



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=31.480



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=566.5584 top1= 19.6514


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.9605 top1= 46.3942


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0407 top1= 44.4812

Train epoch 16
[E16B0  |    416/60000 (  1%) ] Loss: 0.0999 top1= 96.8750

=== Log global consensus distance @ E16B0 ===
consensus_distance=121.827



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=32.004


[E16B10 |   4576/60000 (  8%) ] Loss: 0.1715 top1= 95.7386

=== Log global consensus distance @ E16B10 ===
consensus_distance=126.618



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=32.886


[E16B20 |   8736/60000 ( 15%) ] Loss: 0.0801 top1= 98.2955

=== Log global consensus distance @ E16B20 ===
consensus_distance=131.468



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=33.623



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=655.4355 top1= 19.6514


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.7713 top1= 45.2424


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.5030 top1= 44.2208

Train epoch 17
[E17B0  |    416/60000 (  1%) ] Loss: 0.0897 top1= 97.1591

=== Log global consensus distance @ E17B0 ===
consensus_distance=136.519



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=34.411


[E17B10 |   4576/60000 (  8%) ] Loss: 0.1105 top1= 96.0227

=== Log global consensus distance @ E17B10 ===
consensus_distance=141.592



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=35.018


[E17B20 |   8736/60000 ( 15%) ] Loss: 0.1679 top1= 98.2955

=== Log global consensus distance @ E17B20 ===
consensus_distance=146.654



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=35.521



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1066.4198 top1= 19.6815


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=13.3430 top1= 42.8986


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.7681 top1= 43.4696

Train epoch 18
[E18B0  |    416/60000 (  1%) ] Loss: 0.1488 top1= 94.8864

=== Log global consensus distance @ E18B0 ===
consensus_distance=152.311



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=36.938


[E18B10 |   4576/60000 (  8%) ] Loss: 0.1467 top1= 94.8864

=== Log global consensus distance @ E18B10 ===
consensus_distance=158.389



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=38.322


[E18B20 |   8736/60000 ( 15%) ] Loss: 0.1090 top1= 96.8750

=== Log global consensus distance @ E18B20 ===
consensus_distance=164.732



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=39.223



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1863.9430 top1= 19.7015


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=16.1136 top1= 43.1090


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=12.3071 top1= 42.6783

Train epoch 19
[E19B0  |    416/60000 (  1%) ] Loss: 0.0911 top1= 97.4432

=== Log global consensus distance @ E19B0 ===
consensus_distance=171.156



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=40.212


[E19B10 |   4576/60000 (  8%) ] Loss: 0.2433 top1= 95.1705

=== Log global consensus distance @ E19B10 ===
consensus_distance=177.448



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=40.922


[E19B20 |   8736/60000 ( 15%) ] Loss: 0.0789 top1= 97.4432

=== Log global consensus distance @ E19B20 ===
consensus_distance=184.375



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=41.358



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2147.7094 top1= 19.7316


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=13.9997 top1= 45.0421


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=12.1313 top1= 41.8069

Train epoch 20
[E20B0  |    416/60000 (  1%) ] Loss: 0.1025 top1= 97.7273

=== Log global consensus distance @ E20B0 ===
consensus_distance=191.610



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=41.887


[E20B10 |   4576/60000 (  8%) ] Loss: 0.1316 top1= 94.8864

=== Log global consensus distance @ E20B10 ===
consensus_distance=198.779



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=42.983


[E20B20 |   8736/60000 ( 15%) ] Loss: 0.1448 top1= 98.0114

=== Log global consensus distance @ E20B20 ===
consensus_distance=205.630



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=44.035



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2708.7781 top1= 19.7716


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=15.6037 top1= 44.2408


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.1909 top1= 42.1374

Train epoch 21
[E21B0  |    416/60000 (  1%) ] Loss: 13.6876 top1= 95.4545

=== Log global consensus distance @ E21B0 ===
consensus_distance=212.412



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=45.333


[E21B10 |   4576/60000 (  8%) ] Loss: 0.1564 top1= 96.0227

=== Log global consensus distance @ E21B10 ===
consensus_distance=223.669



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=46.647


[E21B20 |   8736/60000 ( 15%) ] Loss: 0.1108 top1= 97.1591

=== Log global consensus distance @ E21B20 ===
consensus_distance=248.361



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=47.215



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 22
[E22B0  |    416/60000 (  1%) ] Loss: nan top1= 79.5455

=== Log global consensus distance @ E22B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E22B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E22B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 23
[E23B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E23B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E23B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E23B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 24
[E24B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E24B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E24B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E24B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 25
[E25B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E25B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E25B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E25B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 26
[E26B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E26B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E26B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E26B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 27
[E27B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E27B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E27B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E27B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 28
[E28B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E28B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E28B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E28B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 29
[E29B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E29B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E29B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E29B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 30
[E30B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E30B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E30B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E30B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 31
[E31B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E31B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E31B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E31B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 32
[E32B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E32B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E32B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E32B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 33
[E33B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E33B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E33B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E33B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 34
[E34B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E34B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E34B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E34B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 35
[E35B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E35B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E35B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E35B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 36
[E36B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E36B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E36B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E36B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 37
[E37B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E37B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E37B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E37B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 38
[E38B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E38B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E38B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E38B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 39
[E39B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E39B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E39B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E39B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 40
[E40B0  |    416/60000 (  1%) ] Loss: nan top1= 11.0795

=== Log global consensus distance @ E40B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B10 |   4576/60000 (  8%) ] Loss: nan top1= 12.2159

=== Log global consensus distance @ E40B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B20 |   8736/60000 ( 15%) ] Loss: nan top1= 11.3636

=== Log global consensus distance @ E40B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

