
=== 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 ByzantineWorker(index=11)

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=1)

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3142 top1=  7.6705

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



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.001



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002



=== Log mixing matrix @ E1B0 ===
[[0.167 0.167 0.167 0.167 0.167 0.    0.    0.    0.    0.    0.167 0.   ]
 [0.167 0.233 0.2   0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.233 0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.233 0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.2   0.233 0.    0.    0.    0.    0.    0.    0.   ]
 [0.    0.    0.    0.    0.    0.233 0.2   0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.233 0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.233 0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.2   0.233 0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.167 0.167 0.167 0.167 0.167 0.167 0.   ]
 [0.167 0.    0.    0.    0.    0.    0.    0.    0.    0.167 0.667 0.   ]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    1.   ]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.6843 top1= 78.6932

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



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.005
clique2_consensus_distance=1.433


[E 1B20 |   8064/60000 ( 13%) ] Loss: nan top1= 84.6591

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



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.506



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.8562 top1= 40.1843


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.5472 top1= 43.3293

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: nan top1= 86.0795

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



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=6.316


[E 2B10 |   4224/60000 (  7%) ] Loss: nan top1= 86.0795

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



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=7.198


[E 2B20 |   8064/60000 ( 13%) ] Loss: nan top1= 86.6477

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



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=7.731



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8599 top1= 45.1823


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.6431 top1= 45.3325

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: nan top1= 87.7841

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



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=8.103


[E 3B10 |   4224/60000 (  7%) ] Loss: nan top1= 88.6364

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



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=8.454


[E 3B20 |   8064/60000 ( 13%) ] Loss: nan top1= 88.3523

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



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=8.765



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8887 top1= 45.3826


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7141 top1= 45.1222

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: nan top1= 89.4886

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



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=9.117


[E 4B10 |   4224/60000 (  7%) ] Loss: nan top1= 89.7727

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



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=9.419


[E 4B20 |   8064/60000 ( 13%) ] Loss: nan top1= 89.2045

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



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=9.708



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1285 top1= 46.5144


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.2895 top1= 45.2023

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.030


[E 5B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.343


[E 5B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.0568

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



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.624



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5233 top1= 47.7464


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.2764 top1= 43.8802

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: nan top1= 89.2045

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



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=10.951


[E 6B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=11.278


[E 6B20 |   8064/60000 ( 13%) ] Loss: nan top1= 89.7727

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



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=11.553



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9281 top1= 47.7464


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4919 top1= 44.6615

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=11.903


[E 7B10 |   4224/60000 (  7%) ] Loss: nan top1= 89.2045

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



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=12.253


[E 7B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.0568

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



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=12.595



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4095 top1= 47.3558


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0836 top1= 45.8934

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=12.953


[E 8B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=13.224


[E 8B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.0568

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



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=13.535



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1273 top1= 47.8766


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3904 top1= 45.6130

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=13.858


[E 9B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=14.177


[E 9B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=14.441



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4615 top1= 48.5076


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9187 top1= 45.4928

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=14.667


[E10B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=14.919


[E10B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.121



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0202 top1= 47.8466


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.1229 top1= 46.5244

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.255


[E11B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.354


[E11B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.446



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5736 top1= 48.2672


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.3637 top1= 46.3341

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.527


[E12B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.597


[E12B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.658



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0605 top1= 48.0168


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.5797 top1= 46.4744

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.713


[E13B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.762


[E13B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.809



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2304 top1= 48.3574


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.8011 top1= 46.5044

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.849


[E14B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.884


[E14B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.918



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4522 top1= 48.3474


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.0109 top1= 46.4844

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.950


[E15B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=15.978


[E15B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.006



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6258 top1= 48.3674


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1837 top1= 46.4744

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.033


[E16B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.058


[E16B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.083



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7668 top1= 48.3774


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.3308 top1= 46.4643

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.107


[E17B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.130


[E17B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.153



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8943 top1= 48.3474


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.4640 top1= 46.4744

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.174


[E18B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.195


[E18B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.216



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.0067 top1= 48.3674


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5855 top1= 46.4844

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.236


[E19B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.255


[E19B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.274



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.1081 top1= 48.3774


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.6976 top1= 46.4944

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.293


[E20B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.310


[E20B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.328



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.2033 top1= 48.3874


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.8005 top1= 46.4944

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.345


[E21B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.361


[E21B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.378



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.2888 top1= 48.3974


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.8956 top1= 46.4944

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.394


[E22B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.409


[E22B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.424



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.3688 top1= 48.4075


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.9848 top1= 46.4944

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.439


[E23B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.454


[E23B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.468



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.4444 top1= 48.4175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.0694 top1= 46.4944

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.482


[E24B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.496


[E24B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.510



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.5139 top1= 48.4175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.1488 top1= 46.4744

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.523


[E25B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.536


[E25B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.549



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.5810 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.2241 top1= 46.4744

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.561


[E26B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.573


[E26B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.586



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.6425 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.2963 top1= 46.4744

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.598


[E27B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.609


[E27B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.621



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.7026 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.3642 top1= 46.4744

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.632


[E28B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.643


[E28B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.655



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.7569 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4289 top1= 46.4744

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.666


[E29B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.676


[E29B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.687



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.8104 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4904 top1= 46.4744

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E30B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.697


[E30B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E30B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.707


[E30B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.718



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.8609 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.5507 top1= 46.4744

Train epoch 31
[E31B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.728


[E31B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.737


[E31B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.747



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.9102 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.6072 top1= 46.4744

Train epoch 32
[E32B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E32B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.757


[E32B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E32B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.766


[E32B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E32B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.775



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.9568 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.6621 top1= 46.4744

Train epoch 33
[E33B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E33B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.785


[E33B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E33B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.793


[E33B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E33B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.802



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.0020 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.7151 top1= 46.4844

Train epoch 34
[E34B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E34B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.811


[E34B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E34B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.820


[E34B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E34B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.829



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.0438 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.7656 top1= 46.4844

Train epoch 35
[E35B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E35B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.837


[E35B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E35B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.845


[E35B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E35B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.854



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.0866 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.8147 top1= 46.4844

Train epoch 36
[E36B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E36B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.862


[E36B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E36B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.870


[E36B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E36B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.878



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.1268 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.8629 top1= 46.4844

Train epoch 37
[E37B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E37B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.886


[E37B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E37B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.894


[E37B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E37B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.902



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.1657 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9087 top1= 46.4844

Train epoch 38
[E38B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E38B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.910


[E38B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E38B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.917


[E38B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E38B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.925



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.2020 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9527 top1= 46.4844

Train epoch 39
[E39B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E39B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.932


[E39B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E39B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.939


[E39B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E39B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.947



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.2384 top1= 48.4275


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9965 top1= 46.4844

Train epoch 40
[E40B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E40B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.954


[E40B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E40B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.961


[E40B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

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



=== Log clique consensus distance @ E40B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.968



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.2740 top1= 48.4175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0383 top1= 46.4844

Train epoch 41
[E41B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E41B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.975


[E41B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E41B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.982


[E41B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E41B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.989



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3074 top1= 48.4175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0787 top1= 46.4844

Train epoch 42
[E42B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E42B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=16.996


[E42B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E42B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.002


[E42B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E42B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.009



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3405 top1= 48.4275


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1191 top1= 46.4844

Train epoch 43
[E43B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E43B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.016


[E43B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E43B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.022


[E43B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E43B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.029



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3723 top1= 48.4275


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1578 top1= 46.4944

Train epoch 44
[E44B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E44B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.035


[E44B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E44B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.041


[E44B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E44B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.048



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4031 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1955 top1= 46.4944

Train epoch 45
[E45B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E45B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.054


[E45B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E45B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.060


[E45B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E45B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.067



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4340 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.2317 top1= 46.4944

Train epoch 46
[E46B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E46B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.073


[E46B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E46B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.078


[E46B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E46B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.085



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4635 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.2683 top1= 46.4844

Train epoch 47
[E47B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E47B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.091


[E47B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E47B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.096


[E47B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E47B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.102



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.4917 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.3026 top1= 46.4844

Train epoch 48
[E48B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E48B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.108


[E48B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E48B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.114


[E48B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E48B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.120



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5197 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.3371 top1= 46.4844

Train epoch 49
[E49B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E49B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.125


[E49B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E49B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.131


[E49B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E49B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.136



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5467 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.3702 top1= 46.4844

Train epoch 50
[E50B0  |    384/60000 (  1%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E50B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.142


[E50B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E50B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.147


[E50B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.9091

=== Log global consensus distance @ E50B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=17.153



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5739 top1= 48.4375


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.4027 top1= 46.4844

