
=== 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 0.167 0.5  ]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.5   0.5  ]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.7117 top1= 78.1250

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.916



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=1.678


[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.4499 top1= 93.7500

=== Log global consensus distance @ E1B20 ===
consensus_distance=3.205



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=4.402



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.7184 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.7370 top1= 41.0357


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.6756 top1= 41.6667

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1711 top1= 93.7500

=== Log global consensus distance @ E2B0 ===
consensus_distance=5.521



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=5.799


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.1525 top1= 95.1705

=== Log global consensus distance @ E2B10 ===
consensus_distance=8.056



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=6.458


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1506 top1= 95.7386

=== Log global consensus distance @ E2B20 ===
consensus_distance=10.749



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=6.891



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.4060 top1= 15.5048


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4755 top1= 44.2007


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.5670 top1= 44.6615

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.0782 top1= 98.2955

=== Log global consensus distance @ E3B0 ===
consensus_distance=13.681



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=7.383


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.0952 top1= 97.1591

=== Log global consensus distance @ E3B10 ===
consensus_distance=16.915



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=7.873


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1201 top1= 96.0227

=== Log global consensus distance @ E3B20 ===
consensus_distance=20.395



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=8.385



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.7180 top1= 18.2592


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5472 top1= 46.4042


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.7974 top1= 45.3726

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0565 top1= 98.5795

=== Log global consensus distance @ E4B0 ===
consensus_distance=24.317



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=9.043


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0458 top1= 99.1477

=== Log global consensus distance @ E4B10 ===
consensus_distance=28.552



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=9.681


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.1195 top1= 98.2955

=== Log global consensus distance @ E4B20 ===
consensus_distance=33.095



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=10.307



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.6972 top1= 18.3293


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8850 top1= 47.1554


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3653 top1= 45.6631

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0462 top1= 99.1477

=== Log global consensus distance @ E5B0 ===
consensus_distance=37.966



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=11.038


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0375 top1= 99.7159

=== Log global consensus distance @ E5B10 ===
consensus_distance=43.240



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=11.787


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0566 top1= 98.5795

=== Log global consensus distance @ E5B20 ===
consensus_distance=48.784



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=12.506



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.2265 top1= 18.7700


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0664 top1= 47.9267


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8540 top1= 45.6631

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0415 top1= 99.4318

=== Log global consensus distance @ E6B0 ===
consensus_distance=54.653



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=13.275


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0270 top1= 99.7159

=== Log global consensus distance @ E6B10 ===
consensus_distance=60.848



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=14.105


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0350 top1= 99.7159

=== Log global consensus distance @ E6B20 ===
consensus_distance=67.314



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=14.855



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.8332 top1= 18.9303


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.3233 top1= 48.2973


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.4066 top1= 45.3325

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0482 top1= 98.2955

=== Log global consensus distance @ E7B0 ===
consensus_distance=74.129



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=15.595


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1206 top1= 98.5795

=== Log global consensus distance @ E7B10 ===
consensus_distance=81.341



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=16.466


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0596 top1= 98.8636

=== Log global consensus distance @ E7B20 ===
consensus_distance=88.978



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=17.422



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.4957 top1= 17.6783


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4932 top1= 48.5276


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9456 top1= 45.8634

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0482 top1= 98.2955

=== Log global consensus distance @ E8B0 ===
consensus_distance=97.231



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=18.274


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0552 top1= 98.8636

=== Log global consensus distance @ E8B10 ===
consensus_distance=105.895



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=19.277


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1544 top1= 97.7273

=== Log global consensus distance @ E8B20 ===
consensus_distance=114.636



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=20.232



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.1715 top1= 18.1490


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6305 top1= 47.9067


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7838 top1= 45.7031

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0660 top1= 98.0114

=== Log global consensus distance @ E9B0 ===
consensus_distance=123.985



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=21.151


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.3393 top1= 98.2955

=== Log global consensus distance @ E9B10 ===
consensus_distance=134.770



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=22.136


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.3951 top1= 98.0114

=== Log global consensus distance @ E9B20 ===
consensus_distance=145.800



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=22.995



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.1512 top1= 18.0589


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1344 top1= 48.7780


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.5987 top1= 44.8417

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0484 top1= 98.8636

=== Log global consensus distance @ E10B0 ===
consensus_distance=156.804



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=23.812


[E10B10 |   4224/60000 (  7%) ] Loss: 0.0864 top1= 98.8636

=== Log global consensus distance @ E10B10 ===
consensus_distance=167.878



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=24.583


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0859 top1= 99.4318

=== Log global consensus distance @ E10B20 ===
consensus_distance=178.785



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=25.304



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.9602 top1= 17.8586


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.2293 top1= 48.4475


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.6107 top1= 46.1038

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0177 top1=100.0000

=== Log global consensus distance @ E11B0 ===
consensus_distance=189.721



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=26.039


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0352 top1= 98.8636

=== Log global consensus distance @ E11B10 ===
consensus_distance=200.858



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=26.704


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0604 top1= 98.0114

=== Log global consensus distance @ E11B20 ===
consensus_distance=212.216



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=27.353



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.2988 top1= 17.8586


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4098 top1= 48.6378


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3554 top1= 46.1639

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0213 top1= 99.7159

=== Log global consensus distance @ E12B0 ===
consensus_distance=223.897



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=28.131


[E12B10 |   4224/60000 (  7%) ] Loss: 0.0171 top1= 99.4318

=== Log global consensus distance @ E12B10 ===
consensus_distance=235.892



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=28.855


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0170 top1=100.0000

=== Log global consensus distance @ E12B20 ===
consensus_distance=248.098



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=29.472



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.5783 top1= 17.7584


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4906 top1= 49.1587


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.0614 top1= 45.9836

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0212 top1= 99.4318

=== Log global consensus distance @ E13B0 ===
consensus_distance=260.603



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=30.057


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0337 top1= 99.1477

=== Log global consensus distance @ E13B10 ===
consensus_distance=273.446



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=30.787


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0323 top1= 99.4318

=== Log global consensus distance @ E13B20 ===
consensus_distance=286.539



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=31.458



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.9413 top1= 17.5982


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9335 top1= 49.3189


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7590 top1= 46.0136

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0149 top1=100.0000

=== Log global consensus distance @ E14B0 ===
consensus_distance=300.074



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=32.286


[E14B10 |   4224/60000 (  7%) ] Loss: 0.0144 top1=100.0000

=== Log global consensus distance @ E14B10 ===
consensus_distance=313.852



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=33.163


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0192 top1= 99.7159

=== Log global consensus distance @ E14B20 ===
consensus_distance=327.900



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=33.871



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.6227 top1= 17.8085


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8455 top1= 49.3790


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0444 top1= 45.5729

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0229 top1= 99.4318

=== Log global consensus distance @ E15B0 ===
consensus_distance=342.178



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=34.474


[E15B10 |   4224/60000 (  7%) ] Loss: 0.0267 top1= 99.4318

=== Log global consensus distance @ E15B10 ===
consensus_distance=356.860



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=35.357


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0259 top1= 99.1477

=== Log global consensus distance @ E15B20 ===
consensus_distance=371.767



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=36.009



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.2954 top1= 17.9087


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8944 top1= 49.2188


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3522 top1= 45.7933

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0186 top1= 99.7159

=== Log global consensus distance @ E16B0 ===
consensus_distance=387.074



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=36.812


[E16B10 |   4224/60000 (  7%) ] Loss: 0.0258 top1= 98.8636

=== Log global consensus distance @ E16B10 ===
consensus_distance=402.605



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=37.522


[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0277 top1= 99.7159

=== Log global consensus distance @ E16B20 ===
consensus_distance=418.383



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=38.084



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.8656 top1= 17.8886


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3201 top1= 49.1486


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1386 top1= 44.6414

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0131 top1=100.0000

=== Log global consensus distance @ E17B0 ===
consensus_distance=434.549



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=38.773


[E17B10 |   4224/60000 (  7%) ] Loss: 0.0112 top1=100.0000

=== Log global consensus distance @ E17B10 ===
consensus_distance=450.934



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=39.379


[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0097 top1=100.0000

=== Log global consensus distance @ E17B20 ===
consensus_distance=467.650



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=40.046



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=7.7924 top1= 18.0589


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8503 top1= 48.7179


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4837 top1= 46.1639

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0342 top1= 99.1477

=== Log global consensus distance @ E18B0 ===
consensus_distance=484.689



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=40.674


[E18B10 |   4224/60000 (  7%) ] Loss: 0.0228 top1= 99.1477

=== Log global consensus distance @ E18B10 ===
consensus_distance=501.984



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=41.299


[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0169 top1= 99.4318

=== Log global consensus distance @ E18B20 ===
consensus_distance=519.718



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=42.245



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8.7608 top1= 18.1490


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9663 top1= 49.1687


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9768 top1= 46.7849

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0298 top1= 98.5795

=== Log global consensus distance @ E19B0 ===
consensus_distance=537.601



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=42.809


[E19B10 |   4224/60000 (  7%) ] Loss: 0.0128 top1= 99.7159

=== Log global consensus distance @ E19B10 ===
consensus_distance=555.766



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=43.320


[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0179 top1= 99.7159

=== Log global consensus distance @ E19B20 ===
consensus_distance=574.195



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=43.798



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.9118 top1= 18.2492


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7758 top1= 49.3089


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.0779 top1= 46.5745

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0272 top1= 99.4318

=== Log global consensus distance @ E20B0 ===
consensus_distance=592.926



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=44.337


[E20B10 |   4224/60000 (  7%) ] Loss: 0.0099 top1= 99.7159

=== Log global consensus distance @ E20B10 ===
consensus_distance=612.029



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=44.932


[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0108 top1=100.0000

=== Log global consensus distance @ E20B20 ===
consensus_distance=631.371



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=45.381



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=10.8884 top1= 18.3794


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3108 top1= 49.2388


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.5470 top1= 46.0737

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0200 top1= 99.4318

=== Log global consensus distance @ E21B0 ===
consensus_distance=651.129



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=46.099


[E21B10 |   4224/60000 (  7%) ] Loss: 0.0120 top1=100.0000

=== Log global consensus distance @ E21B10 ===
consensus_distance=671.274



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=47.045


[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0239 top1= 99.4318

=== Log global consensus distance @ E21B20 ===
consensus_distance=691.671



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=47.872



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.6408 top1= 18.4195


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0251 top1= 49.5994


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1809 top1= 46.2139

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0117 top1= 99.7159

=== Log global consensus distance @ E22B0 ===
consensus_distance=712.339



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=48.623


[E22B10 |   4224/60000 (  7%) ] Loss: 0.0223 top1= 99.1477

=== Log global consensus distance @ E22B10 ===
consensus_distance=733.286



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=49.290


[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0087 top1= 99.7159

=== Log global consensus distance @ E22B20 ===
consensus_distance=754.543



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=49.953



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=14.1798 top1= 18.5296


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3347 top1= 48.5777


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5022 top1= 46.1839

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0501 top1= 98.2955

=== Log global consensus distance @ E23B0 ===
consensus_distance=776.089



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=50.672


[E23B10 |   4224/60000 (  7%) ] Loss: 0.0155 top1= 99.4318

=== Log global consensus distance @ E23B10 ===
consensus_distance=798.152



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=51.512


[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0089 top1= 99.7159

=== Log global consensus distance @ E23B20 ===
consensus_distance=820.440



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=52.152



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=15.0839 top1= 18.4796


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4775 top1= 49.7296


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.2671 top1= 46.1338

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0083 top1= 99.7159

=== Log global consensus distance @ E24B0 ===
consensus_distance=843.071



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=52.580


[E24B10 |   4224/60000 (  7%) ] Loss: 0.0216 top1= 99.4318

=== Log global consensus distance @ E24B10 ===
consensus_distance=865.952



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=53.100


[E24B20 |   8064/60000 ( 13%) ] Loss: 0.1018 top1= 99.4318

=== Log global consensus distance @ E24B20 ===
consensus_distance=889.183



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=53.571



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=14.4669 top1= 18.4295


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7002 top1= 49.5493


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4627 top1= 45.8133

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0073 top1= 99.7159

=== Log global consensus distance @ E25B0 ===
consensus_distance=915.792



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=54.014


[E25B10 |   4224/60000 (  7%) ] Loss: 0.0181 top1= 99.7159

=== Log global consensus distance @ E25B10 ===
consensus_distance=943.364



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=54.446


[E25B20 |   8064/60000 ( 13%) ] Loss: 15.7877 top1= 98.0114

=== Log global consensus distance @ E25B20 ===
consensus_distance=985.577



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=54.956



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6982959252790246.0000 top1= 10.0962


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8207 top1= 49.6595


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1804 top1= 45.9836

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 14877459049999427584.0000 top1= 92.3295

=== Log global consensus distance @ E26B0 ===
consensus_distance=1625593938775808811816976384.000



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=55.553


[E26B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=56.075


[E26B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=56.717



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.6505 top1= 50.0501


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=12.9782 top1= 45.9135

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=57.213


[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=57.550


[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=57.930



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.2031 top1= 49.8698


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=12.9427 top1= 45.9435

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=58.218


[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=58.389


[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=58.604



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.5700 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.5222 top1= 46.4543

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=58.892


[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=59.098


[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=59.379



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.8104 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.4957 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=59.509


[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=59.614


[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=59.753



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.0115 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.1110 top1= 46.2841

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=60.005


[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=60.150


[E31B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=60.361



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.1829 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.9233 top1= 46.0236

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=60.494


[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=60.659


[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=60.995



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.3286 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.3274 top1= 46.2139

Train epoch 33
[E33B0  |    384/60000 (  1%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E33B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=61.347


[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=61.552


[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=61.785



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.4609 top1= 49.9900


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.9372 top1= 46.6647

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=62.021


[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=62.204


[E34B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E34B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=62.314



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.5813 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.1184 top1= 46.2941

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=62.432


[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=62.474


[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=62.531



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.6927 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.1116 top1= 46.8049

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=62.624


[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=62.709


[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=62.675



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.7941 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.5993 top1= 46.9351

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=62.694


[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=62.749


[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=62.784



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.8865 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.4705 top1= 46.7849

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=62.800


[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=62.803


[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=62.817



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.9720 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.6820 top1= 46.8950

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=62.835


[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=62.854


[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=62.872



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.0514 top1= 49.9599


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.7709 top1= 46.9050

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=62.889


[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=62.906


[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=62.922



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.1264 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.8545 top1= 46.9050

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=62.937


[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=62.952


[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=62.966



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.1974 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.9367 top1= 46.9151

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=62.980


[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=62.993


[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=63.007



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.2644 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.0156 top1= 46.9351

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=63.019


[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=63.032


[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=63.044



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.3279 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.0903 top1= 46.9351

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=63.056


[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=63.068


[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=63.080



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.3885 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.1610 top1= 46.9351

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=63.091


[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=63.103


[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=63.114



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.4460 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.2284 top1= 46.9251

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=63.125


[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=63.135


[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=63.146



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.5001 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.2923 top1= 46.9151

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=63.156


[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=63.166


[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=63.177



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.5521 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.3531 top1= 46.9050

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=63.186


[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=63.196


[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=63.206



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.6023 top1= 49.9700


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.4107 top1= 46.9050

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=63.215


[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=63.225


[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=63.234



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.6508 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.4660 top1= 46.9050

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=63.243


[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=63.252


[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=63.261



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.6976 top1= 49.9800


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.5188 top1= 46.8950

