
=== 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 0.292 0.375]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.375 0.625]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.5707 top1= 83.5227

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.620



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=1.661


[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2541 top1= 92.8977

=== Log global consensus distance @ E1B20 ===
consensus_distance=1.481



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=3.967



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.8092 top1= 12.3297


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.7054 top1= 40.5749


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.0230 top1= 41.5264

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1326 top1= 94.3182

=== Log global consensus distance @ E2B0 ===
consensus_distance=2.007



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=4.972


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.1443 top1= 95.7386

=== Log global consensus distance @ E2B10 ===
consensus_distance=2.319



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=5.246


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1647 top1= 95.1705

=== Log global consensus distance @ E2B20 ===
consensus_distance=2.546



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=5.322



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.3003 top1= 16.7668


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.3709 top1= 44.1006


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.7245 top1= 45.0020

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.0789 top1= 97.4432

=== Log global consensus distance @ E3B0 ===
consensus_distance=2.780



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=5.462


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.0801 top1= 97.7273

=== Log global consensus distance @ E3B10 ===
consensus_distance=3.045



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=5.657


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0953 top1= 96.8750

=== Log global consensus distance @ E3B20 ===
consensus_distance=3.289



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=5.843



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.8699 top1= 18.8602


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2935 top1= 49.5393


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2665 top1= 44.6514

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0502 top1= 99.4318

=== Log global consensus distance @ E4B0 ===
consensus_distance=3.590



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=6.174


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0564 top1= 98.2955

=== Log global consensus distance @ E4B10 ===
consensus_distance=3.920



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=6.545


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0715 top1= 97.7273

=== Log global consensus distance @ E4B20 ===
consensus_distance=4.205



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=6.833



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8.6480 top1= 19.0605


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4468 top1= 52.1234


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.4668 top1= 45.3125

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0432 top1= 99.1477

=== Log global consensus distance @ E5B0 ===
consensus_distance=4.566



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=7.305


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0295 top1= 99.7159

=== Log global consensus distance @ E5B10 ===
consensus_distance=4.939



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=7.765


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0512 top1= 98.5795

=== Log global consensus distance @ E5B20 ===
consensus_distance=5.248



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=8.077



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=10.2559 top1= 19.0705


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6133 top1= 53.2151


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.6618 top1= 45.3826

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0382 top1= 99.7159

=== Log global consensus distance @ E6B0 ===
consensus_distance=5.639



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=8.614


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0257 top1=100.0000

=== Log global consensus distance @ E6B10 ===
consensus_distance=6.042



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=9.151


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0358 top1= 99.7159

=== Log global consensus distance @ E6B20 ===
consensus_distance=6.342



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=9.542



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.0834 top1= 19.1206


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.7902 top1= 53.6458


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0410 top1= 45.9736

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0310 top1=100.0000

=== Log global consensus distance @ E7B0 ===
consensus_distance=6.733



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=10.086


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0655 top1= 98.8636

=== Log global consensus distance @ E7B10 ===
consensus_distance=7.159



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=10.642


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0386 top1= 99.1477

=== Log global consensus distance @ E7B20 ===
consensus_distance=7.564



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=11.108



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.4701 top1= 19.1607


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8587 top1= 53.9463


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2683 top1= 46.4944

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0394 top1= 99.7159

=== Log global consensus distance @ E8B0 ===
consensus_distance=8.001



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=11.677


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0560 top1= 98.5795

=== Log global consensus distance @ E8B10 ===
consensus_distance=8.425



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=12.266


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0307 top1= 99.7159

=== Log global consensus distance @ E8B20 ===
consensus_distance=8.851



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=12.892



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.5221 top1= 19.2708


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6176 top1= 54.1867


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4508 top1= 47.4058

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0921 top1= 97.1591

=== Log global consensus distance @ E9B0 ===
consensus_distance=9.303



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=13.552


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0326 top1= 98.8636

=== Log global consensus distance @ E9B10 ===
consensus_distance=9.741



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=14.157


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0568 top1= 98.0114

=== Log global consensus distance @ E9B20 ===
consensus_distance=10.168



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=14.691



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=11.8197 top1= 19.3209


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4749 top1= 54.4271


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3341 top1= 46.3442

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0353 top1= 99.7159

=== Log global consensus distance @ E10B0 ===
consensus_distance=10.613



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=15.271


[E10B10 |   4224/60000 (  7%) ] Loss: 0.0280 top1= 99.4318

=== Log global consensus distance @ E10B10 ===
consensus_distance=11.056



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=15.816


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0262 top1= 99.7159

=== Log global consensus distance @ E10B20 ===
consensus_distance=11.445



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=16.190



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=11.2782 top1= 19.3610


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5293 top1= 55.2384


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0871 top1= 46.3442

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0237 top1= 99.4318

=== Log global consensus distance @ E11B0 ===
consensus_distance=11.892



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=16.727


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0331 top1= 99.1477

=== Log global consensus distance @ E11B10 ===
consensus_distance=12.308



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=17.184


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0264 top1= 99.7159

=== Log global consensus distance @ E11B20 ===
consensus_distance=12.705



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=17.606



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=11.1046 top1= 19.3610


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.7245 top1= 55.1282


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.0925 top1= 45.4527

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0195 top1=100.0000

=== Log global consensus distance @ E12B0 ===
consensus_distance=13.169



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=18.202


[E12B10 |   4224/60000 (  7%) ] Loss: 0.0325 top1= 99.4318

=== Log global consensus distance @ E12B10 ===
consensus_distance=13.587



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=18.643


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0222 top1= 99.7159

=== Log global consensus distance @ E12B20 ===
consensus_distance=14.004



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=19.059



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=11.7097 top1= 19.3910


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8661 top1= 54.3870


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.9843 top1= 46.8550

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0214 top1=100.0000

=== Log global consensus distance @ E13B0 ===
consensus_distance=14.467



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=19.627


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0228 top1= 99.4318

=== Log global consensus distance @ E13B10 ===
consensus_distance=14.885



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=20.045


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0299 top1= 99.7159

=== Log global consensus distance @ E13B20 ===
consensus_distance=15.258



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=20.370



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.7652 top1= 19.3910


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9428 top1= 53.9964


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.9819 top1= 46.9251

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0264 top1= 99.7159

=== Log global consensus distance @ E14B0 ===
consensus_distance=15.709



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=20.930


[E14B10 |   4224/60000 (  7%) ] Loss: 0.0240 top1= 99.4318

=== Log global consensus distance @ E14B10 ===
consensus_distance=16.145



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=21.367


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0219 top1= 99.7159

=== Log global consensus distance @ E14B20 ===
consensus_distance=16.564



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=21.709



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=12.9175 top1= 19.4010


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0458 top1= 53.3854


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4071 top1= 45.9936

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0221 top1= 99.7159

=== Log global consensus distance @ E15B0 ===
consensus_distance=17.085



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=22.229


[E15B10 |   4224/60000 (  7%) ] Loss: 0.0225 top1= 99.7159

=== Log global consensus distance @ E15B10 ===
consensus_distance=17.741



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=22.770


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0721 top1= 99.7159

=== Log global consensus distance @ E15B20 ===
consensus_distance=18.274



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=23.195



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=13.9424 top1= 19.3510


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1093 top1= 52.6242


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.4120 top1= 45.7031

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0250 top1= 99.7159

=== Log global consensus distance @ E16B0 ===
consensus_distance=18.782



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=23.632


[E16B10 |   4224/60000 (  7%) ] Loss: 0.0158 top1=100.0000

=== Log global consensus distance @ E16B10 ===
consensus_distance=19.360



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=24.310


[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0427 top1= 99.4318

=== Log global consensus distance @ E16B20 ===
consensus_distance=19.801



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=24.670



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=15.2716 top1= 19.3610


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.2220 top1= 51.5425


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9414 top1= 46.3141

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0270 top1= 99.4318

=== Log global consensus distance @ E17B0 ===
consensus_distance=20.270



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=25.200


[E17B10 |   4224/60000 (  7%) ] Loss: 0.0226 top1= 99.4318

=== Log global consensus distance @ E17B10 ===
consensus_distance=20.867



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=25.967


[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0304 top1= 99.1477

=== Log global consensus distance @ E17B20 ===
consensus_distance=21.353



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=26.392



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=15.1203 top1= 19.3610


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.5916 top1= 49.7095


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8109 top1= 46.9952

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0466 top1= 98.5795

=== Log global consensus distance @ E18B0 ===
consensus_distance=21.846



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=26.866


[E18B10 |   4224/60000 (  7%) ] Loss: 0.0410 top1= 98.2955

=== Log global consensus distance @ E18B10 ===
consensus_distance=22.515



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=27.950


[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0580 top1= 98.8636

=== Log global consensus distance @ E18B20 ===
consensus_distance=23.059



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=28.693



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=14.7708 top1= 19.3309


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0772 top1= 50.8714


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2141 top1= 46.2640

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0491 top1= 98.2955

=== Log global consensus distance @ E19B0 ===
consensus_distance=23.575



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=29.307


[E19B10 |   4224/60000 (  7%) ] Loss: 0.0196 top1= 99.7159

=== Log global consensus distance @ E19B10 ===
consensus_distance=24.145



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=30.097


[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0269 top1= 98.8636

=== Log global consensus distance @ E19B20 ===
consensus_distance=24.584



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=30.422



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=14.2333 top1= 19.3510


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6427 top1= 51.0517


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3539 top1= 45.8734

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0142 top1= 99.7159

=== Log global consensus distance @ E20B0 ===
consensus_distance=25.009



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=30.661


[E20B10 |   4224/60000 (  7%) ] Loss: 0.0320 top1= 99.1477

=== Log global consensus distance @ E20B10 ===
consensus_distance=25.395



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=30.811


[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0264 top1= 99.1477

=== Log global consensus distance @ E20B20 ===
consensus_distance=25.818



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=31.049



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=14.9341 top1= 19.3510


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8674 top1= 51.1318


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.3323 top1= 43.5196

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0122 top1=100.0000

=== Log global consensus distance @ E21B0 ===
consensus_distance=26.255



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=31.364


[E21B10 |   4224/60000 (  7%) ] Loss: 0.0143 top1= 99.7159

=== Log global consensus distance @ E21B10 ===
consensus_distance=26.653



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=31.535


[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0116 top1=100.0000

=== Log global consensus distance @ E21B20 ===
consensus_distance=27.046



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=31.631



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=16.9166 top1= 19.3810


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9127 top1= 52.1434


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9025 top1= 43.4696

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0217 top1= 99.7159

=== Log global consensus distance @ E22B0 ===
consensus_distance=27.464



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=31.786


[E22B10 |   4224/60000 (  7%) ] Loss: 0.0163 top1=100.0000

=== Log global consensus distance @ E22B10 ===
consensus_distance=27.957



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=32.169


[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0099 top1=100.0000

=== Log global consensus distance @ E22B20 ===
consensus_distance=28.386



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=32.356



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=20.0708 top1= 19.4010


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.2138 top1= 51.1318


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8150 top1= 45.3225

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0111 top1=100.0000

=== Log global consensus distance @ E23B0 ===
consensus_distance=28.842



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=32.481


[E23B10 |   4224/60000 (  7%) ] Loss: 0.0137 top1=100.0000

=== Log global consensus distance @ E23B10 ===
consensus_distance=29.351



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=32.704


[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0125 top1=100.0000

=== Log global consensus distance @ E23B20 ===
consensus_distance=29.985



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=33.146



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=19.9811 top1= 19.3610


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4508 top1= 50.7512


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9018 top1= 46.5044

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0109 top1=100.0000

=== Log global consensus distance @ E24B0 ===
consensus_distance=30.663



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=33.391


[E24B10 |   4224/60000 (  7%) ] Loss: 0.0148 top1= 99.7159

=== Log global consensus distance @ E24B10 ===
consensus_distance=31.236



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=33.614


[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0140 top1=100.0000

=== Log global consensus distance @ E24B20 ===
consensus_distance=31.778



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=33.884



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=22.7307 top1= 19.3510


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.5995 top1= 50.5208


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.7011 top1= 45.4527

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.3010 top1= 99.7159

=== Log global consensus distance @ E25B0 ===
consensus_distance=32.596



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=34.194


[E25B10 |   4224/60000 (  7%) ] Loss: 0.0186 top1= 99.7159

=== Log global consensus distance @ E25B10 ===
consensus_distance=34.015



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=34.722


[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0101 top1=100.0000

=== Log global consensus distance @ E25B20 ===
consensus_distance=35.392



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=35.194



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=22.9555 top1= 19.4311


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8657 top1= 49.2989


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.0965 top1= 44.3209

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0210 top1= 99.4318

=== Log global consensus distance @ E26B0 ===
consensus_distance=36.438



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=35.503


[E26B10 |   4224/60000 (  7%) ] Loss: 0.0171 top1=100.0000

=== Log global consensus distance @ E26B10 ===
consensus_distance=37.260



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=35.801


[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0220 top1= 99.4318

=== Log global consensus distance @ E26B20 ===
consensus_distance=38.130



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=36.366



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=22.2558 top1= 19.4712


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0162 top1= 49.0986


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.6836 top1= 45.3526

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0095 top1=100.0000

=== Log global consensus distance @ E27B0 ===
consensus_distance=39.066



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=36.965


[E27B10 |   4224/60000 (  7%) ] Loss: 0.2783 top1= 99.1477

=== Log global consensus distance @ E27B10 ===
consensus_distance=39.962



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=37.340


[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0225 top1= 99.4318

=== Log global consensus distance @ E27B20 ===
consensus_distance=40.819



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=37.917



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=24.7983 top1= 19.4912


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6789 top1= 50.4006


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.2773 top1= 45.5829

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.4072 top1= 99.1477

=== Log global consensus distance @ E28B0 ===
consensus_distance=41.573



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=38.283


[E28B10 |   4224/60000 (  7%) ] Loss: 0.0242 top1= 98.8636

=== Log global consensus distance @ E28B10 ===
consensus_distance=43.847



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=38.948


[E28B20 |   8064/60000 ( 13%) ] Loss: 1.7478 top1= 99.4318

=== Log global consensus distance @ E28B20 ===
consensus_distance=57.836



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=39.543



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=40.5319 top1= 19.4912


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.4620 top1= 48.6478


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.6100 top1= 47.0353

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.9875 top1= 98.8636

=== Log global consensus distance @ E29B0 ===
consensus_distance=90.209



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=40.094


[E29B10 |   4224/60000 (  7%) ] Loss: nan top1= 89.4886

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



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=40.984


[E29B20 |   8064/60000 ( 13%) ] Loss: nan top1= 89.4886

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



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=42.092



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8986 top1= 49.6494


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.3064 top1= 46.1538

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=42.997


[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=43.577


[E30B20 |   8064/60000 ( 13%) ] Loss: nan top1= 89.2045

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



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=44.350



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.5110 top1= 50.9515


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5673 top1= 46.5845

Train epoch 31
[E31B0  |    384/60000 (  1%) ] Loss: nan top1= 90.0568

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



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=44.960


[E31B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.3409

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



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=45.570


[E31B20 |   8064/60000 ( 13%) ] Loss: nan top1= 90.0568

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



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=46.343



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9488 top1= 49.8998


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.8971 top1= 47.3458

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=46.793


[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=47.152


[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=47.354



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0813 top1= 50.2604


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4298 top1= 47.1755

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=47.627


[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=47.809


[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=47.875



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0594 top1= 50.4607


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.7243 top1= 47.2656

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=48.180


[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=48.337


[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=48.340



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1026 top1= 50.4507


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.6435 top1= 47.5160

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=48.419


[E35B10 |   4224/60000 (  7%) ] Loss: nan top1= 90.6250

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



=== Log clique consensus distance @ E35B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=48.588


[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=48.687



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1158 top1= 50.6711


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5362 top1= 47.3157

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=48.760


[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=48.812


[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=48.859



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2314 top1= 50.4407


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.8808 top1= 47.3057

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=48.907


[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=48.945


[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=48.973



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3578 top1= 50.3906


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.0772 top1= 47.2656

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=48.999


[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=49.025


[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=49.047



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.4649 top1= 50.3305


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.2217 top1= 47.2756

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=49.069


[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=49.092


[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=49.113



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5532 top1= 50.2504


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.3403 top1= 47.2857

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=49.133


[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=49.154


[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=49.174



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6295 top1= 50.2003


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.4398 top1= 47.2656

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=49.193


[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=49.213


[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=49.231



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.6974 top1= 50.1703


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.5291 top1= 47.2556

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=49.248


[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=49.267


[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=49.284



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7591 top1= 50.1603


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.6100 top1= 47.2656

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=49.301


[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=49.318


[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=49.334



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8160 top1= 50.1402


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.6867 top1= 47.2857

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=49.350


[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=49.367


[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=49.382



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8691 top1= 50.1302


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.7567 top1= 47.2656

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=49.397


[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=49.412


[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=49.427



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9183 top1= 50.1102


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.8228 top1= 47.2556

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=49.441


[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=49.456


[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=49.470



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9648 top1= 50.1002


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.8854 top1= 47.2556

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=49.483


[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=49.498


[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=49.511



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.0088 top1= 50.1002


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.9443 top1= 47.2556

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=49.523


[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=49.537


[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=49.550



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.0501 top1= 50.0901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0004 top1= 47.2556

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=49.562


[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=49.575


[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=49.587



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.0894 top1= 50.0901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0542 top1= 47.2556

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=49.599


[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=49.612


[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=49.623



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.1265 top1= 50.0901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1050 top1= 47.2556

