
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.9)
=> Add worker SGDMWorker(index=1, momentum=0.9)
=> Add worker SGDMWorker(index=2, momentum=0.9)
=> Add worker SGDMWorker(index=3, momentum=0.9)
=> Add worker SGDMWorker(index=4, momentum=0.9)
=> Add worker SGDMWorker(index=5, momentum=0.9)
=> Add worker SGDMWorker(index=6, momentum=0.9)
=> Add worker SGDMWorker(index=7, momentum=0.9)
=> Add worker SGDMWorker(index=8, momentum=0.9)
=> Add worker SGDMWorker(index=9, momentum=0.9)
=> Add worker SGDMWorker(index=10, momentum=0.9)
=> 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: 2.2568 top1= 19.6023

=== 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: 2.2143 top1= 26.1364

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



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.001



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1510 top1= 45.3926


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1285 top1= 49.5393


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1248 top1= 45.0621

Train epoch 2
[E 2B0  |    448/60000 (  1%) ] Loss: 2.1280 top1= 35.7955

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



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002


[E 2B10 |   4928/60000 (  8%) ] Loss: 2.0068 top1= 52.2727

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.001



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.003


[E 2B20 |   9408/60000 ( 16%) ] Loss: 1.8953 top1= 56.8182

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.002



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.005



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7817 top1= 64.2027


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7231 top1= 66.3161


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7160 top1= 63.5417

Train epoch 3
[E 3B0  |    448/60000 (  1%) ] Loss: 1.7475 top1= 57.6705

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.002



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.007


[E 3B10 |   4928/60000 (  8%) ] Loss: 1.5141 top1= 66.1932

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.003



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.008


[E 3B20 |   9408/60000 ( 16%) ] Loss: 1.3068 top1= 72.4432

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.004



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.010



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1517 top1= 76.9331


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0731 top1= 77.7444


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0663 top1= 77.9347

Train epoch 4
[E 4B0  |    448/60000 (  1%) ] Loss: 1.1711 top1= 70.7386

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.004



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.011


[E 4B10 |   4928/60000 (  8%) ] Loss: 0.9492 top1= 76.4205

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.004



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.013


[E 4B20 |   9408/60000 ( 16%) ] Loss: 0.8085 top1= 81.5341

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.004



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.014



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7118 top1= 83.6138


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6741 top1= 84.2248


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6662 top1= 84.6855

Train epoch 5
[E 5B0  |    448/60000 (  1%) ] Loss: 0.7871 top1= 76.9886

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.004



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.015


[E 5B10 |   4928/60000 (  8%) ] Loss: 0.6544 top1= 82.6705

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.004



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.016


[E 5B20 |   9408/60000 ( 16%) ] Loss: 0.5852 top1= 85.7955

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.004



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.016



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5356 top1= 86.4583


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5214 top1= 86.7989


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5160 top1= 87.0393

Train epoch 6
[E 6B0  |    448/60000 (  1%) ] Loss: 0.6037 top1= 82.3864

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.004



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.018


[E 6B10 |   4928/60000 (  8%) ] Loss: 0.5166 top1= 85.7955

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.018


[E 6B20 |   9408/60000 ( 16%) ] Loss: 0.4767 top1= 88.3523

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.019



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4531 top1= 88.0709


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4467 top1= 88.2111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4442 top1= 88.2011

Train epoch 7
[E 7B0  |    448/60000 (  1%) ] Loss: 0.5012 top1= 85.5114

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.020


[E 7B10 |   4928/60000 (  8%) ] Loss: 0.4391 top1= 88.6364

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.020


[E 7B20 |   9408/60000 ( 16%) ] Loss: 0.4132 top1= 89.2045

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4058 top1= 89.0124


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4024 top1= 89.0725


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4018 top1= 88.8922

Train epoch 8
[E 8B0  |    448/60000 (  1%) ] Loss: 0.4342 top1= 86.9318

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E 8B10 |   4928/60000 (  8%) ] Loss: 0.3887 top1= 89.4886

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E 8B20 |   9408/60000 ( 16%) ] Loss: 0.3716 top1= 89.4886

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3752 top1= 89.5232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3732 top1= 89.6134


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3739 top1= 89.4732

Train epoch 9
[E 9B0  |    448/60000 (  1%) ] Loss: 0.3856 top1= 88.6364

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E 9B10 |   4928/60000 (  8%) ] Loss: 0.3517 top1= 90.6250

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E 9B20 |   9408/60000 ( 16%) ] Loss: 0.3410 top1= 90.3409

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3534 top1= 89.9339


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3519 top1= 90.0541


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3537 top1= 89.9439

Train epoch 10
[E10B0  |    448/60000 (  1%) ] Loss: 0.3494 top1= 89.4886

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E10B10 |   4928/60000 (  8%) ] Loss: 0.3235 top1= 90.9091

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E10B20 |   9408/60000 ( 16%) ] Loss: 0.3155 top1= 91.1932

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3370 top1= 90.3145


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3356 top1= 90.4147


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3384 top1= 90.2244

Train epoch 11
[E11B0  |    448/60000 (  1%) ] Loss: 0.3216 top1= 90.3409

=== Log global consensus distance @ E11B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E11B10 |   4928/60000 (  8%) ] Loss: 0.3009 top1= 91.1932

=== Log global consensus distance @ E11B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E11B20 |   9408/60000 ( 16%) ] Loss: 0.2942 top1= 91.7614

=== Log global consensus distance @ E11B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3240 top1= 90.6250


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3224 top1= 90.6651


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3261 top1= 90.6250

Train epoch 12
[E12B0  |    448/60000 (  1%) ] Loss: 0.2976 top1= 90.6250

=== Log global consensus distance @ E12B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E12B10 |   4928/60000 (  8%) ] Loss: 0.2815 top1= 91.4773

=== Log global consensus distance @ E12B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E12B20 |   9408/60000 ( 16%) ] Loss: 0.2767 top1= 92.3295

=== Log global consensus distance @ E12B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3134 top1= 90.9054


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3115 top1= 90.9155


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3159 top1= 90.8353

Train epoch 13
[E13B0  |    448/60000 (  1%) ] Loss: 0.2779 top1= 91.7614

=== Log global consensus distance @ E13B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E13B10 |   4928/60000 (  8%) ] Loss: 0.2645 top1= 92.8977

=== Log global consensus distance @ E13B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E13B20 |   9408/60000 ( 16%) ] Loss: 0.2607 top1= 93.1818

=== Log global consensus distance @ E13B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3045 top1= 91.1258


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3024 top1= 91.0757


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3072 top1= 91.0857

Train epoch 14
[E14B0  |    448/60000 (  1%) ] Loss: 0.2599 top1= 92.3295

=== Log global consensus distance @ E14B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E14B10 |   4928/60000 (  8%) ] Loss: 0.2491 top1= 93.1818

=== Log global consensus distance @ E14B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E14B20 |   9408/60000 ( 16%) ] Loss: 0.2448 top1= 93.1818

=== Log global consensus distance @ E14B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2970 top1= 91.2861


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2951 top1= 91.2861


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2996 top1= 91.3562

Train epoch 15
[E15B0  |    448/60000 (  1%) ] Loss: 0.2438 top1= 93.4659

=== Log global consensus distance @ E15B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E15B10 |   4928/60000 (  8%) ] Loss: 0.2354 top1= 93.7500

=== Log global consensus distance @ E15B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E15B20 |   9408/60000 ( 16%) ] Loss: 0.2302 top1= 92.8977

=== Log global consensus distance @ E15B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2901 top1= 91.4363


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2882 top1= 91.4663


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2926 top1= 91.5966

Train epoch 16
[E16B0  |    448/60000 (  1%) ] Loss: 0.2299 top1= 93.7500

=== Log global consensus distance @ E16B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E16B10 |   4928/60000 (  8%) ] Loss: 0.2220 top1= 94.0341

=== Log global consensus distance @ E16B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E16B20 |   9408/60000 ( 16%) ] Loss: 0.2175 top1= 92.8977

=== Log global consensus distance @ E16B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2844 top1= 91.5665


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2825 top1= 91.6166


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2867 top1= 91.6466

Train epoch 17
[E17B0  |    448/60000 (  1%) ] Loss: 0.2166 top1= 94.6023

=== Log global consensus distance @ E17B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E17B10 |   4928/60000 (  8%) ] Loss: 0.2099 top1= 94.8864

=== Log global consensus distance @ E17B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E17B20 |   9408/60000 ( 16%) ] Loss: 0.2049 top1= 93.1818

=== Log global consensus distance @ E17B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2793 top1= 91.7568


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2778 top1= 91.7969


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2811 top1= 91.8670

Train epoch 18
[E18B0  |    448/60000 (  1%) ] Loss: 0.2040 top1= 94.8864

=== Log global consensus distance @ E18B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E18B10 |   4928/60000 (  8%) ] Loss: 0.1984 top1= 95.4545

=== Log global consensus distance @ E18B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E18B20 |   9408/60000 ( 16%) ] Loss: 0.1945 top1= 93.7500

=== Log global consensus distance @ E18B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2748 top1= 91.8870


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2731 top1= 91.9571


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2763 top1= 92.0072

Train epoch 19
[E19B0  |    448/60000 (  1%) ] Loss: 0.1932 top1= 95.4545

=== Log global consensus distance @ E19B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E19B10 |   4928/60000 (  8%) ] Loss: 0.1873 top1= 95.7386

=== Log global consensus distance @ E19B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E19B20 |   9408/60000 ( 16%) ] Loss: 0.1829 top1= 94.6023

=== Log global consensus distance @ E19B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2709 top1= 91.8970


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2693 top1= 92.0473


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2720 top1= 92.1274

Train epoch 20
[E20B0  |    448/60000 (  1%) ] Loss: 0.1828 top1= 95.4545

=== Log global consensus distance @ E20B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E20B10 |   4928/60000 (  8%) ] Loss: 0.1773 top1= 96.0227

=== Log global consensus distance @ E20B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E20B20 |   9408/60000 ( 16%) ] Loss: 0.1733 top1= 94.8864

=== Log global consensus distance @ E20B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2673 top1= 92.0272


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2656 top1= 92.1174


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2679 top1= 92.2075

Train epoch 21
[E21B0  |    448/60000 (  1%) ] Loss: 0.1730 top1= 95.7386

=== Log global consensus distance @ E21B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E21B10 |   4928/60000 (  8%) ] Loss: 0.1676 top1= 96.0227

=== Log global consensus distance @ E21B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E21B20 |   9408/60000 ( 16%) ] Loss: 0.1651 top1= 95.1705

=== Log global consensus distance @ E21B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2645 top1= 92.1174


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2626 top1= 92.1474


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2650 top1= 92.2676

Train epoch 22
[E22B0  |    448/60000 (  1%) ] Loss: 0.1640 top1= 96.0227

=== Log global consensus distance @ E22B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E22B10 |   4928/60000 (  8%) ] Loss: 0.1590 top1= 96.3068

=== Log global consensus distance @ E22B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E22B20 |   9408/60000 ( 16%) ] Loss: 0.1558 top1= 96.0227

=== Log global consensus distance @ E22B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2617 top1= 92.1675


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2591 top1= 92.2776


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2616 top1= 92.3177

Train epoch 23
[E23B0  |    448/60000 (  1%) ] Loss: 0.1558 top1= 96.3068

=== Log global consensus distance @ E23B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E23B10 |   4928/60000 (  8%) ] Loss: 0.1507 top1= 96.3068

=== Log global consensus distance @ E23B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E23B20 |   9408/60000 ( 16%) ] Loss: 0.1485 top1= 96.3068

=== Log global consensus distance @ E23B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2591 top1= 92.3177


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2568 top1= 92.3778


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2590 top1= 92.3978

Train epoch 24
[E24B0  |    448/60000 (  1%) ] Loss: 0.1483 top1= 96.3068

=== Log global consensus distance @ E24B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E24B10 |   4928/60000 (  8%) ] Loss: 0.1430 top1= 96.5909

=== Log global consensus distance @ E24B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E24B20 |   9408/60000 ( 16%) ] Loss: 0.1413 top1= 96.5909

=== Log global consensus distance @ E24B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2575 top1= 92.3778


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2541 top1= 92.5180


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2560 top1= 92.4379

Train epoch 25
[E25B0  |    448/60000 (  1%) ] Loss: 0.1402 top1= 96.8750

=== Log global consensus distance @ E25B0 ===
consensus_distance=0.006



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E25B10 |   4928/60000 (  8%) ] Loss: 0.1364 top1= 96.5909

=== Log global consensus distance @ E25B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E25B20 |   9408/60000 ( 16%) ] Loss: 0.1348 top1= 97.1591

=== Log global consensus distance @ E25B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2568 top1= 92.4579


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2519 top1= 92.6082


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2545 top1= 92.5080

Train epoch 26
[E26B0  |    448/60000 (  1%) ] Loss: 0.1331 top1= 97.4432

=== Log global consensus distance @ E26B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E26B10 |   4928/60000 (  8%) ] Loss: 0.1315 top1= 96.5909

=== Log global consensus distance @ E26B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E26B20 |   9408/60000 ( 16%) ] Loss: 0.1654 top1= 96.0227

=== Log global consensus distance @ E26B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3433 top1= 89.2628


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2545 top1= 92.5280


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2602 top1= 92.4079

Train epoch 27
[E27B0  |    448/60000 (  1%) ] Loss: 0.3088 top1= 93.1818

=== Log global consensus distance @ E27B0 ===
consensus_distance=0.011



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E27B10 |   4928/60000 (  8%) ] Loss: 19.4410 top1= 78.6932

=== Log global consensus distance @ E27B10 ===
consensus_distance=0.491



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=0.033
clique2_consensus_distance=0.057


[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

