
=== 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
=> Add worker BitFlippingWorker

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=3)

Train epoch 1
[E 1B0  |    448/60000 (  1%) ] Loss: 2.3005 top1=  9.0909

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([9, 4, 6, 0, 0], device='cuda:0')
Worker 1 has targets: tensor([3, 0, 5, 1, 7], device='cuda:0')
Worker 2 has targets: tensor([5, 6, 5, 4, 9], device='cuda:0')
Worker 3 has targets: tensor([4, 8, 4, 4, 2], device='cuda:0')
Worker 4 has targets: tensor([7, 9, 7, 0, 6], device='cuda:0')
Worker 5 has targets: tensor([4, 9, 4, 0, 8], device='cuda:0')
Worker 6 has targets: tensor([9, 3, 1, 7, 7], device='cuda:0')
Worker 7 has targets: tensor([6, 1, 8, 0, 7], device='cuda:0')
Worker 8 has targets: tensor([8, 3, 7, 6, 2], device='cuda:0')
Worker 9 has targets: tensor([8, 2, 3, 7, 8], device='cuda:0')
Worker 10 has targets: tensor([7, 5, 3, 8, 8], device='cuda:0')
Worker 11 has targets: tensor([4, 0, 5, 9, 5], device='cuda:0')
Worker 12 has targets: tensor([8, 2, 1, 2, 7], device='cuda:0')
Worker 13 has targets: tensor([9, 1, 6, 1, 1], 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 |   4928/60000 (  8%) ] Loss: 2.2520 top1= 20.7386

=== 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 |   9408/60000 ( 16%) ] Loss: 2.1862 top1= 28.6932

=== 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=2.0845 top1= 50.9215


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0506 top1= 55.6290


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0466 top1= 47.5461

Train epoch 2
[E 2B0  |    448/60000 (  1%) ] Loss: 2.0494 top1= 43.1818

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.002



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.005


[E 2B10 |   4928/60000 (  8%) ] Loss: 1.8371 top1= 55.9659

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



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.009


[E 2B20 |   9408/60000 ( 16%) ] Loss: 1.5879 top1= 64.2045

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.014



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3260 top1= 72.8666


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2184 top1= 73.9784


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2136 top1= 73.5777

Train epoch 3
[E 3B0  |    448/60000 (  1%) ] Loss: 1.3133 top1= 67.0455

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.007



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.020


[E 3B10 |   4928/60000 (  8%) ] Loss: 0.9675 top1= 74.7159

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.009



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E 3B20 |   9408/60000 ( 16%) ] Loss: 0.7521 top1= 79.8295

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.031



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5951 top1= 84.1246


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5612 top1= 84.4151


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5477 top1= 85.3666

Train epoch 4
[E 4B0  |    448/60000 (  1%) ] Loss: 0.7083 top1= 78.1250

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.011



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.036


[E 4B10 |   4928/60000 (  8%) ] Loss: 0.5465 top1= 83.5227

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.011



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.041


[E 4B20 |   9408/60000 ( 16%) ] Loss: 0.4709 top1= 88.0682

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.012



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.045



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4231 top1= 88.1611


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4187 top1= 88.1110


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4136 top1= 88.2412

Train epoch 5
[E 5B0  |    448/60000 (  1%) ] Loss: 0.4761 top1= 85.5114

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.013



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.051


[E 5B10 |   4928/60000 (  8%) ] Loss: 0.4017 top1= 88.3523

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



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.055


[E 5B20 |   9408/60000 ( 16%) ] Loss: 0.3621 top1= 90.0568

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



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.058



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3645 top1= 89.5533


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3673 top1= 89.3429


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3622 top1= 89.3229

Train epoch 6
[E 6B0  |    448/60000 (  1%) ] Loss: 0.3711 top1= 88.0682

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



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.062


[E 6B10 |   4928/60000 (  8%) ] Loss: 0.3321 top1= 90.9091

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.015



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.064


[E 6B20 |   9408/60000 ( 16%) ] Loss: 0.3089 top1= 90.3409

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.015



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.066



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3326 top1= 90.2945


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3343 top1= 90.2244


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3348 top1= 90.0942

Train epoch 7
[E 7B0  |    448/60000 (  1%) ] Loss: 0.3129 top1= 90.0568

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.016



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.069


[E 7B10 |   4928/60000 (  8%) ] Loss: 0.2871 top1= 91.4773

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070


[E 7B20 |   9408/60000 ( 16%) ] Loss: 0.2715 top1= 92.0455

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3118 top1= 90.8353


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3138 top1= 90.6851


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3161 top1= 90.6150

Train epoch 8
[E 8B0  |    448/60000 (  1%) ] Loss: 0.2727 top1= 91.7614

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



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E 8B10 |   4928/60000 (  8%) ] Loss: 0.2535 top1= 92.6136

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071


[E 8B20 |   9408/60000 ( 16%) ] Loss: 0.2425 top1= 93.1818

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2959 top1= 91.2961


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2975 top1= 91.1158


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3010 top1= 91.1859

Train epoch 9
[E 9B0  |    448/60000 (  1%) ] Loss: 0.2411 top1= 93.7500

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E 9B10 |   4928/60000 (  8%) ] Loss: 0.2255 top1= 93.7500

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E 9B20 |   9408/60000 ( 16%) ] Loss: 0.2180 top1= 93.7500

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2835 top1= 91.5765


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2843 top1= 91.4563


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2896 top1= 91.5365

Train epoch 10
[E10B0  |    448/60000 (  1%) ] Loss: 0.2152 top1= 94.6023

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E10B10 |   4928/60000 (  8%) ] Loss: 0.2019 top1= 94.8864

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E10B20 |   9408/60000 ( 16%) ] Loss: 0.1937 top1= 94.6023

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.017



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2731 top1= 91.8670


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2739 top1= 91.7368


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2791 top1= 91.8670

Train epoch 11
[E11B0  |    448/60000 (  1%) ] Loss: 0.1937 top1= 95.4545

=== Log global consensus distance @ E11B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.072


[E11B10 |   4928/60000 (  8%) ] Loss: 0.1811 top1= 95.1705

=== Log global consensus distance @ E11B10 ===
consensus_distance=0.017



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071


[E11B20 |   9408/60000 ( 16%) ] Loss: 0.1727 top1= 95.1705

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



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2650 top1= 92.1775


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2658 top1= 92.0072


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2710 top1= 92.0072

Train epoch 12
[E12B0  |    448/60000 (  1%) ] Loss: 0.1749 top1= 95.7386

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



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.071


[E12B10 |   4928/60000 (  8%) ] Loss: 0.1620 top1= 95.4545

=== Log global consensus distance @ E12B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070


[E12B20 |   9408/60000 ( 16%) ] Loss: 0.1566 top1= 96.0227

=== Log global consensus distance @ E12B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2581 top1= 92.3678


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2589 top1= 92.2476


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2646 top1= 92.2877

Train epoch 13
[E13B0  |    448/60000 (  1%) ] Loss: 0.1574 top1= 96.3068

=== Log global consensus distance @ E13B0 ===
consensus_distance=0.016



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.070


[E13B10 |   4928/60000 (  8%) ] Loss: 0.1442 top1= 96.0227

=== Log global consensus distance @ E13B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.069


[E13B20 |   9408/60000 ( 16%) ] Loss: 0.1408 top1= 96.3068

=== Log global consensus distance @ E13B20 ===
consensus_distance=0.016



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.068



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2529 top1= 92.5681


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2545 top1= 92.4079


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2585 top1= 92.5381

Train epoch 14
[E14B0  |    448/60000 (  1%) ] Loss: 0.1444 top1= 96.3068

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



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.068


[E14B10 |   4928/60000 (  8%) ] Loss: 0.1294 top1= 96.5909

=== Log global consensus distance @ E14B10 ===
consensus_distance=0.016



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067


[E14B20 |   9408/60000 ( 16%) ] Loss: 0.1266 top1= 97.4432

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



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.067



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2477 top1= 92.7484


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2495 top1= 92.6683


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2530 top1= 92.7384

Train epoch 15
[E15B0  |    448/60000 (  1%) ] Loss: 0.1297 top1= 97.4432

=== Log global consensus distance @ E15B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.066


[E15B10 |   4928/60000 (  8%) ] Loss: 0.1160 top1= 96.8750

=== Log global consensus distance @ E15B10 ===
consensus_distance=0.015



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.065


[E15B20 |   9408/60000 ( 16%) ] Loss: 0.1157 top1= 98.0114

=== Log global consensus distance @ E15B20 ===
consensus_distance=0.015



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.065



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2445 top1= 92.8686


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2472 top1= 92.7985


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2492 top1= 92.7684

Train epoch 16
[E16B0  |    448/60000 (  1%) ] Loss: 0.1186 top1= 98.0114

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



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.063


[E16B10 |   4928/60000 (  8%) ] Loss: 0.1050 top1= 97.1591

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



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.063


[E16B20 |   9408/60000 ( 16%) ] Loss: 0.1040 top1= 98.5795

=== Log global consensus distance @ E16B20 ===
consensus_distance=0.014



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.062



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2417 top1= 92.9788


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2441 top1= 92.9287


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2461 top1= 93.0188

Train epoch 17
[E17B0  |    448/60000 (  1%) ] Loss: 0.1068 top1= 98.2955

=== Log global consensus distance @ E17B0 ===
consensus_distance=0.014



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.061


[E17B10 |   4928/60000 (  8%) ] Loss: 0.0954 top1= 97.1591

=== Log global consensus distance @ E17B10 ===
consensus_distance=0.014



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.060


[E17B20 |   9408/60000 ( 16%) ] Loss: 0.0929 top1= 98.5795

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



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.059



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2413 top1= 93.0188


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2459 top1= 92.9087


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2451 top1= 93.0889

Train epoch 18
[E18B0  |    448/60000 (  1%) ] Loss: 0.0977 top1= 98.5795

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



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.058


[E18B10 |   4928/60000 (  8%) ] Loss: 0.0875 top1= 97.7273

=== Log global consensus distance @ E18B10 ===
consensus_distance=0.013



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.057


[E18B20 |   9408/60000 ( 16%) ] Loss: 0.0819 top1= 98.5795

=== Log global consensus distance @ E18B20 ===
consensus_distance=0.013



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.057



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2395 top1= 93.1390


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2473 top1= 92.8886


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2422 top1= 93.2792

Train epoch 19
[E19B0  |    448/60000 (  1%) ] Loss: 0.0868 top1= 98.5795

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



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.055


[E19B10 |   4928/60000 (  8%) ] Loss: 0.0791 top1= 98.2955

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



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.054


[E19B20 |   9408/60000 ( 16%) ] Loss: 0.0725 top1= 98.8636

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



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.054



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2398 top1= 93.2292


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2470 top1= 92.9688


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2403 top1= 93.3694

Train epoch 20
[E20B0  |    448/60000 (  1%) ] Loss: 0.0788 top1= 98.8636

=== Log global consensus distance @ E20B0 ===
consensus_distance=0.012



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.052


[E20B10 |   4928/60000 (  8%) ] Loss: 0.0736 top1= 98.2955

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



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.052


[E20B20 |   9408/60000 ( 16%) ] Loss: 0.0638 top1= 98.8636

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



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.052



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2383 top1= 93.3293


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2483 top1= 93.0188


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2402 top1= 93.4395

Train epoch 21
[E21B0  |    448/60000 (  1%) ] Loss: 0.0697 top1= 98.8636

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



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.050


[E21B10 |   4928/60000 (  8%) ] Loss: 0.0660 top1= 98.5795

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



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.049


[E21B20 |   9408/60000 ( 16%) ] Loss: 0.0581 top1= 98.8636

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



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.049



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2448 top1= 93.2492


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2564 top1= 92.8586


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2420 top1= 93.4495

Train epoch 22
[E22B0  |    448/60000 (  1%) ] Loss: 0.0673 top1= 98.8636

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



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.048


[E22B10 |   4928/60000 (  8%) ] Loss: 0.0705 top1= 98.2955

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



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.047


[E22B20 |   9408/60000 ( 16%) ] Loss: 0.0561 top1= 98.2955

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



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.047



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4040 top1= 88.8922


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2580 top1= 92.9788


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2480 top1= 93.3694

Train epoch 23
[E23B0  |    448/60000 (  1%) ] Loss: 0.2290 top1= 94.3182

=== Log global consensus distance @ E23B0 ===
consensus_distance=0.017



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.046


[E23B10 |   4928/60000 (  8%) ] Loss: 11575.0887 top1= 80.3977

=== Log global consensus distance @ E23B10 ===
consensus_distance=53.807



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=6.680
clique2_consensus_distance=6.731


[E23B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E24B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E24B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E25B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E25B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E26B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E26B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E27B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E27B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E28B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E28B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

=== 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E29B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E29B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E30B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E30B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E31B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E31B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E32B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E32B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E33B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E33B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E34B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E34B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E35B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E35B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E36B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E36B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E37B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E37B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E38B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E38B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E39B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E39B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E40B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E40B20 |   9408/60000 ( 16%) ] 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

