
=== 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 BitFlippingWorker
=> Add worker BitFlippingWorker

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

Train epoch 1
[E 1B0  |    416/60000 (  1%) ] Loss: 2.3051 top1=  8.5227

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([9, 9, 2, 5, 8], device='cuda:0')
Worker 1 has targets: tensor([3, 4, 1, 1, 9], device='cuda:0')
Worker 2 has targets: tensor([5, 0, 6, 6, 2], device='cuda:0')
Worker 3 has targets: tensor([4, 6, 5, 0, 1], device='cuda:0')
Worker 4 has targets: tensor([7, 8, 5, 1, 0], device='cuda:0')
Worker 5 has targets: tensor([4, 9, 4, 4, 7], device='cuda:0')
Worker 6 has targets: tensor([9, 9, 7, 4, 9], device='cuda:0')
Worker 7 has targets: tensor([6, 3, 4, 0, 2], device='cuda:0')
Worker 8 has targets: tensor([8, 1, 1, 0, 6], device='cuda:0')
Worker 9 has targets: tensor([8, 3, 8, 7, 8], device='cuda:0')
Worker 10 has targets: tensor([7, 2, 7, 0, 7], device='cuda:0')
Worker 11 has targets: tensor([4, 5, 3, 6, 7], device='cuda:0')
Worker 12 has targets: tensor([8, 0, 3, 7, 2], 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: 2.2693 top1= 16.7614

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.001


[E 1B20 |   8736/60000 ( 15%) ] Loss: 2.1862 top1= 29.5455

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.001



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.003



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0675 top1= 49.0685


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0404 top1= 51.3321


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0480 top1= 48.4375

Train epoch 2
[E 2B0  |    416/60000 (  1%) ] Loss: 2.0407 top1= 44.0341

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.001



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.004


[E 2B10 |   4576/60000 (  8%) ] Loss: 1.8456 top1= 53.4091

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.003



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.008


[E 2B20 |   8736/60000 ( 15%) ] Loss: 1.5705 top1= 59.3750

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.004



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.012



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2379 top1= 73.7981


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1587 top1= 76.1719


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1802 top1= 73.4776

Train epoch 3
[E 3B0  |    416/60000 (  1%) ] Loss: 1.2586 top1= 66.4773

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.017


[E 3B10 |   4576/60000 (  8%) ] Loss: 0.8740 top1= 74.1477

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.007



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E 3B20 |   8736/60000 ( 15%) ] Loss: 0.7507 top1= 78.9773

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.008



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5539 top1= 84.0745


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5305 top1= 85.3466


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5418 top1= 83.6238

Train epoch 4
[E 4B0  |    416/60000 (  1%) ] Loss: 0.6311 top1= 81.8182

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.009



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.032


[E 4B10 |   4576/60000 (  8%) ] Loss: 0.4756 top1= 85.5114

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.038


[E 4B20 |   8736/60000 ( 15%) ] Loss: 0.4974 top1= 86.9318

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.011



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.044



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4095 top1= 88.0709


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4055 top1= 88.2011


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4131 top1= 87.7905

Train epoch 5
[E 5B0  |    416/60000 (  1%) ] Loss: 0.4238 top1= 86.9318

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.012



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.050


[E 5B10 |   4576/60000 (  8%) ] Loss: 0.3523 top1= 89.2045

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.013



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.056


[E 5B20 |   8736/60000 ( 15%) ] Loss: 0.4050 top1= 89.7727

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.014



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.060



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3580 top1= 89.3029


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3548 top1= 89.5032


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3662 top1= 89.0725

Train epoch 6
[E 6B0  |    416/60000 (  1%) ] Loss: 0.3420 top1= 89.4886

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.064


[E 6B10 |   4576/60000 (  8%) ] Loss: 0.2870 top1= 92.6136

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067


[E 6B20 |   8736/60000 ( 15%) ] Loss: 0.3503 top1= 91.1932

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3291 top1= 90.2043


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3261 top1= 90.2744


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3412 top1= 89.8237

Train epoch 7
[E 7B0  |    416/60000 (  1%) ] Loss: 0.2955 top1= 91.1932

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E 7B10 |   4576/60000 (  8%) ] Loss: 0.2462 top1= 93.4659

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.074


[E 7B20 |   8736/60000 ( 15%) ] Loss: 0.3076 top1= 91.4773

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.075



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3079 top1= 90.9856


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3048 top1= 91.0357


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3208 top1= 90.4748

Train epoch 8
[E 8B0  |    416/60000 (  1%) ] Loss: 0.2586 top1= 92.6136

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.075


[E 8B10 |   4576/60000 (  8%) ] Loss: 0.2164 top1= 93.4659

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.018



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.076


[E 8B20 |   8736/60000 ( 15%) ] Loss: 0.2754 top1= 92.3295

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.018



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2926 top1= 91.4663


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2909 top1= 91.5665


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3043 top1= 90.9655

Train epoch 9
[E 9B0  |    416/60000 (  1%) ] Loss: 0.2282 top1= 93.7500

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.018



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077


[E 9B10 |   4576/60000 (  8%) ] Loss: 0.1946 top1= 94.0341

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.018



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077


[E 9B20 |   8736/60000 ( 15%) ] Loss: 0.2463 top1= 92.8977

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.018



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2794 top1= 91.7969


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2782 top1= 91.9371


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2906 top1= 91.2760

Train epoch 10
[E10B0  |    416/60000 (  1%) ] Loss: 0.2035 top1= 94.6023

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.018



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077


[E10B10 |   4576/60000 (  8%) ] Loss: 0.1725 top1= 94.3182

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.018



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077


[E10B20 |   8736/60000 ( 15%) ] Loss: 0.2193 top1= 94.3182

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.018



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.077



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2693 top1= 92.0272


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2692 top1= 92.1775


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2796 top1= 91.5565

Train epoch 11
[E11B0  |    416/60000 (  1%) ] Loss: 0.1798 top1= 95.7386

=== Log global consensus distance @ E11B0 ===
consensus_distance=0.018



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.076


[E11B10 |   4576/60000 (  8%) ] Loss: 0.1533 top1= 95.7386

=== Log global consensus distance @ E11B10 ===
consensus_distance=0.018



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.076


[E11B20 |   8736/60000 ( 15%) ] Loss: 0.1947 top1= 94.6023

=== Log global consensus distance @ E11B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.075



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2605 top1= 92.3277


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2615 top1= 92.3978


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2701 top1= 92.0373

Train epoch 12
[E12B0  |    416/60000 (  1%) ] Loss: 0.1593 top1= 96.0227

=== Log global consensus distance @ E12B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.075


[E12B10 |   4576/60000 (  8%) ] Loss: 0.1382 top1= 96.3068

=== Log global consensus distance @ E12B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.075


[E12B20 |   8736/60000 ( 15%) ] Loss: 0.1739 top1= 95.1705

=== Log global consensus distance @ E12B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.074



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2541 top1= 92.4780


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2562 top1= 92.6182


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2633 top1= 92.1875

Train epoch 13
[E13B0  |    416/60000 (  1%) ] Loss: 0.1397 top1= 96.3068

=== Log global consensus distance @ E13B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.074


[E13B10 |   4576/60000 (  8%) ] Loss: 0.1234 top1= 97.4432

=== Log global consensus distance @ E13B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.074


[E13B20 |   8736/60000 ( 15%) ] Loss: 0.1525 top1= 95.4545

=== Log global consensus distance @ E13B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2488 top1= 92.6182


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2530 top1= 92.6583


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2568 top1= 92.2877

Train epoch 14
[E14B0  |    416/60000 (  1%) ] Loss: 0.1237 top1= 96.5909

=== Log global consensus distance @ E14B0 ===
consensus_distance=0.016



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071


[E14B10 |   4576/60000 (  8%) ] Loss: 0.1103 top1= 98.0114

=== Log global consensus distance @ E14B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E14B20 |   8736/60000 ( 15%) ] Loss: 0.1357 top1= 96.3068

=== Log global consensus distance @ E14B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2441 top1= 92.7584


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2495 top1= 92.7183


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2524 top1= 92.4579

Train epoch 15
[E15B0  |    416/60000 (  1%) ] Loss: 0.1087 top1= 97.4432

=== Log global consensus distance @ E15B0 ===
consensus_distance=0.016



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070


[E15B10 |   4576/60000 (  8%) ] Loss: 0.0973 top1= 98.2955

=== Log global consensus distance @ E15B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070


[E15B20 |   8736/60000 ( 15%) ] Loss: 0.1191 top1= 96.5909

=== Log global consensus distance @ E15B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.068



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2410 top1= 92.8486


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2489 top1= 92.7484


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2480 top1= 92.6082

Train epoch 16
[E16B0  |    416/60000 (  1%) ] Loss: 0.0982 top1= 97.4432

=== Log global consensus distance @ E16B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067


[E16B10 |   4576/60000 (  8%) ] Loss: 0.0869 top1= 98.5795

=== Log global consensus distance @ E16B10 ===
consensus_distance=0.015



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067


[E16B20 |   8736/60000 ( 15%) ] Loss: 0.1071 top1= 96.8750

=== Log global consensus distance @ E16B20 ===
consensus_distance=0.015



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.065



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2385 top1= 92.9187


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2474 top1= 92.8385


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2466 top1= 92.7484

Train epoch 17
[E17B0  |    416/60000 (  1%) ] Loss: 0.0858 top1= 97.7273

=== Log global consensus distance @ E17B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.064


[E17B10 |   4576/60000 (  8%) ] Loss: 0.0762 top1= 98.5795

=== Log global consensus distance @ E17B10 ===
consensus_distance=0.015



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.063


[E17B20 |   8736/60000 ( 15%) ] Loss: 0.0933 top1= 96.8750

=== Log global consensus distance @ E17B20 ===
consensus_distance=0.014



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.062



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2370 top1= 93.0589


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2490 top1= 92.8986


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2438 top1= 92.9487

Train epoch 18
[E18B0  |    416/60000 (  1%) ] Loss: 0.0772 top1= 97.7273

=== Log global consensus distance @ E18B0 ===
consensus_distance=0.014



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.061


[E18B10 |   4576/60000 (  8%) ] Loss: 0.0682 top1= 98.8636

=== Log global consensus distance @ E18B10 ===
consensus_distance=0.014



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.060


[E18B20 |   8736/60000 ( 15%) ] Loss: 0.0872 top1= 97.1591

=== Log global consensus distance @ E18B20 ===
consensus_distance=0.014



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.059



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2360 top1= 93.1290


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2501 top1= 92.9187


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2425 top1= 93.0990

Train epoch 19
[E19B0  |    416/60000 (  1%) ] Loss: 0.0675 top1= 98.8636

=== Log global consensus distance @ E19B0 ===
consensus_distance=0.013



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.058


[E19B10 |   4576/60000 (  8%) ] Loss: 0.0586 top1= 99.1477

=== Log global consensus distance @ E19B10 ===
consensus_distance=0.013



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.057


[E19B20 |   8736/60000 ( 15%) ] Loss: 0.0765 top1= 97.7273

=== Log global consensus distance @ E19B20 ===
consensus_distance=0.013



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.056



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2373 top1= 93.2392


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2540 top1= 92.8886


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2420 top1= 93.0789

Train epoch 20
[E20B0  |    416/60000 (  1%) ] Loss: 0.0602 top1= 99.7159

=== Log global consensus distance @ E20B0 ===
consensus_distance=0.013



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.055


[E20B10 |   4576/60000 (  8%) ] Loss: 0.0531 top1= 99.1477

=== Log global consensus distance @ E20B10 ===
consensus_distance=0.012



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.054


[E20B20 |   8736/60000 ( 15%) ] Loss: 0.0691 top1= 98.2955

=== Log global consensus distance @ E20B20 ===
consensus_distance=0.012



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.053



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2382 top1= 93.2692


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2573 top1= 92.9187


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2425 top1= 93.1190

Train epoch 21
[E21B0  |    416/60000 (  1%) ] Loss: 0.0528 top1= 99.7159

=== Log global consensus distance @ E21B0 ===
consensus_distance=0.012



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.052


[E21B10 |   4576/60000 (  8%) ] Loss: 0.0458 top1= 99.1477

=== Log global consensus distance @ E21B10 ===
consensus_distance=0.012



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.051


[E21B20 |   8736/60000 ( 15%) ] Loss: 0.0614 top1= 98.5795

=== Log global consensus distance @ E21B20 ===
consensus_distance=0.012



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.050



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2417 top1= 93.3193


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2620 top1= 92.8586


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2455 top1= 93.1591

Train epoch 22
[E22B0  |    416/60000 (  1%) ] Loss: 0.0483 top1= 99.7159

=== Log global consensus distance @ E22B0 ===
consensus_distance=0.011



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.049


[E22B10 |   4576/60000 (  8%) ] Loss: 0.0427 top1= 99.1477

=== Log global consensus distance @ E22B10 ===
consensus_distance=0.011



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.048


[E22B20 |   8736/60000 ( 15%) ] Loss: 0.0572 top1= 98.8636

=== Log global consensus distance @ E22B20 ===
consensus_distance=0.011



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.048



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2447 top1= 93.2692


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2677 top1= 92.7484


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2483 top1= 93.2492

Train epoch 23
[E23B0  |    416/60000 (  1%) ] Loss: 0.0450 top1=100.0000

=== Log global consensus distance @ E23B0 ===
consensus_distance=0.011



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.047


[E23B10 |   4576/60000 (  8%) ] Loss: 0.0363 top1= 99.4318

=== Log global consensus distance @ E23B10 ===
consensus_distance=0.011



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.046


[E23B20 |   8736/60000 ( 15%) ] Loss: 0.0509 top1= 99.1477

=== Log global consensus distance @ E23B20 ===
consensus_distance=0.011



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.046



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2480 top1= 93.2792


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2718 top1= 92.7484


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2535 top1= 93.1891

Train epoch 24
[E24B0  |    416/60000 (  1%) ] Loss: 0.0394 top1=100.0000

=== Log global consensus distance @ E24B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.045


[E24B10 |   4576/60000 (  8%) ] Loss: 0.0327 top1= 99.4318

=== Log global consensus distance @ E24B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.045


[E24B20 |   8736/60000 ( 15%) ] Loss: 0.0491 top1= 99.1477

=== Log global consensus distance @ E24B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.045



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2506 top1= 93.2893


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2747 top1= 92.7985


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2562 top1= 93.1390

Train epoch 25
[E25B0  |    416/60000 (  1%) ] Loss: 0.0361 top1=100.0000

=== Log global consensus distance @ E25B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.044


[E25B10 |   4576/60000 (  8%) ] Loss: 0.0293 top1= 99.4318

=== Log global consensus distance @ E25B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E25B20 |   8736/60000 ( 15%) ] Loss: 0.0453 top1= 99.1477

=== Log global consensus distance @ E25B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.044



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2505 top1= 93.3494


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2707 top1= 92.9587


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2616 top1= 92.9988

Train epoch 26
[E26B0  |    416/60000 (  1%) ] Loss: 0.0328 top1=100.0000

=== Log global consensus distance @ E26B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E26B10 |   4576/60000 (  8%) ] Loss: 0.0266 top1=100.0000

=== Log global consensus distance @ E26B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E26B20 |   8736/60000 ( 15%) ] Loss: 0.0455 top1= 98.8636

=== Log global consensus distance @ E26B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2537 top1= 93.3293


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2692 top1= 93.1791


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2718 top1= 92.9487

Train epoch 27
[E27B0  |    416/60000 (  1%) ] Loss: 0.0349 top1= 99.7159

=== Log global consensus distance @ E27B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.042


[E27B10 |   4576/60000 (  8%) ] Loss: 0.0252 top1=100.0000

=== Log global consensus distance @ E27B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E27B20 |   8736/60000 ( 15%) ] Loss: 0.0399 top1= 99.1477

=== Log global consensus distance @ E27B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.042



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2599 top1= 93.2392


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2662 top1= 93.1290


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2828 top1= 92.7183

Train epoch 28
[E28B0  |    416/60000 (  1%) ] Loss: 0.0343 top1= 99.7159

=== Log global consensus distance @ E28B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.041


[E28B10 |   4576/60000 (  8%) ] Loss: 0.0266 top1= 99.7159

=== Log global consensus distance @ E28B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E28B20 |   8736/60000 ( 15%) ] Loss: 0.0842 top1= 98.2955

=== Log global consensus distance @ E28B20 ===
consensus_distance=0.011



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5151 top1= 87.8405


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2793 top1= 93.2592


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2964 top1= 92.8185

Train epoch 29
[E29B0  |    416/60000 (  1%) ] Loss: 0.7535 top1= 91.7614

=== Log global consensus distance @ E29B0 ===
consensus_distance=0.037



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=0.044


[E29B10 |   4576/60000 (  8%) ] Loss: nan top1= 63.6364

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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=  7.3864

=== 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=  9.9432

=== 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=  9.6591

=== 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

