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

=== 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 0.417 0.25 ]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.25  0.75 ]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.3185 top1= 88.3523

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.828



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.470
clique2_consensus_distance=1.770


[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2295 top1= 92.0455

=== Log global consensus distance @ E1B20 ===
consensus_distance=1.305



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.553
clique2_consensus_distance=3.217



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6869 top1= 52.3638


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9597 top1= 38.9724


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5453 top1= 35.1262

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.0567 top1= 98.5795

=== Log global consensus distance @ E2B0 ===
consensus_distance=1.182



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.292
clique2_consensus_distance=3.507


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.0792 top1= 97.4432

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.972



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.077
clique2_consensus_distance=3.427


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.0846 top1= 98.0114

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.898



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.016
clique2_consensus_distance=3.429



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4601 top1= 55.3085


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6509 top1= 42.2175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5877 top1= 36.8790

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.0539 top1= 98.2955

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.907



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.013
clique2_consensus_distance=3.527


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.0579 top1= 98.2955

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.912



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=3.595


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0430 top1= 98.8636

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.923



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.010
clique2_consensus_distance=3.646



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4435 top1= 56.3101


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.6460 top1= 44.4812


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.5999 top1= 38.6018

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0377 top1= 99.1477

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.937



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=3.702


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0352 top1= 99.4318

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.936



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=3.709


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0238 top1= 99.7159

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.941



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=3.727



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4108 top1= 58.5337


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1246 top1= 45.2624


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.1264 top1= 40.1843

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0278 top1= 99.7159

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.954



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=3.777


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0387 top1= 99.4318

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.951



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=3.758


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0477 top1= 99.4318

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.962



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=3.763



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.4124 top1= 59.0244


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5339 top1= 45.4728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.3526 top1= 42.4579

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0209 top1= 99.4318

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.982



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=3.789


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0254 top1= 99.4318

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.983



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=3.768


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0222 top1= 99.4318

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.991



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=3.780



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3799 top1= 62.0292


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.5527 top1= 46.1538


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.5007 top1= 43.3794

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0158 top1= 99.7159

=== Log global consensus distance @ E7B0 ===
consensus_distance=1.010



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=3.807


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0157 top1= 99.7159

=== Log global consensus distance @ E7B10 ===
consensus_distance=1.007



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=3.812


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0312 top1= 98.8636

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.999



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=3.822



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.3818 top1= 60.1763


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1841 top1= 48.0469


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2774 top1= 43.7200

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0283 top1= 99.4318

=== Log global consensus distance @ E8B0 ===
consensus_distance=1.000



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.010
clique2_consensus_distance=3.839


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0264 top1= 99.1477

=== Log global consensus distance @ E8B10 ===
consensus_distance=1.056



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.078
clique2_consensus_distance=3.968


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0201 top1= 99.1477

=== Log global consensus distance @ E8B20 ===
consensus_distance=1.113



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.122
clique2_consensus_distance=4.152



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9658 top1= 68.5597


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6187 top1= 47.6462


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.5346 top1= 43.2292

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0099 top1=100.0000

=== Log global consensus distance @ E9B0 ===
consensus_distance=1.109



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.067
clique2_consensus_distance=4.254


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0287 top1= 99.1477

=== Log global consensus distance @ E9B10 ===
consensus_distance=1.079



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.263


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0159 top1= 99.7159

=== Log global consensus distance @ E9B20 ===
consensus_distance=1.085



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.007
clique2_consensus_distance=4.267



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0856 top1= 65.7252


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.1783 top1= 48.4175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.9031 top1= 44.8317

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0152 top1= 99.4318

=== Log global consensus distance @ E10B0 ===
consensus_distance=1.090



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=4.276


[E10B10 |   4224/60000 (  7%) ] Loss: 0.0654 top1= 98.5795

=== Log global consensus distance @ E10B10 ===
consensus_distance=1.101



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=4.270


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0443 top1= 99.1477

=== Log global consensus distance @ E10B20 ===
consensus_distance=1.149



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=4.301



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1524 top1= 64.1627


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.5093 top1= 48.0569


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.1577 top1= 42.5982

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0143 top1= 99.4318

=== Log global consensus distance @ E11B0 ===
consensus_distance=1.183



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.332


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0181 top1= 99.4318

=== Log global consensus distance @ E11B10 ===
consensus_distance=1.158



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.297


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0144 top1= 99.4318

=== Log global consensus distance @ E11B20 ===
consensus_distance=1.137



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=4.286



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9806 top1= 67.2877


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6831 top1= 47.7464


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.5925 top1= 43.7300

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0150 top1= 99.7159

=== Log global consensus distance @ E12B0 ===
consensus_distance=1.133



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=4.300


[E12B10 |   4224/60000 (  7%) ] Loss: 0.0125 top1= 99.4318

=== Log global consensus distance @ E12B10 ===
consensus_distance=1.157



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.273


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0592 top1= 98.2955

=== Log global consensus distance @ E12B20 ===
consensus_distance=1.156



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=4.256



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0158 top1= 65.7252


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.7484 top1= 48.5377


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.4811 top1= 42.5080

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0101 top1=100.0000

=== Log global consensus distance @ E13B0 ===
consensus_distance=1.163



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.035
clique2_consensus_distance=4.269


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0080 top1=100.0000

=== Log global consensus distance @ E13B10 ===
consensus_distance=1.144



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=4.270


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0214 top1= 99.1477

=== Log global consensus distance @ E13B20 ===
consensus_distance=1.135



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.267



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9737 top1= 66.6266


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8043 top1= 46.7648


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2264 top1= 44.3209

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0092 top1= 99.7159

=== Log global consensus distance @ E14B0 ===
consensus_distance=1.147



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.038
clique2_consensus_distance=4.258


[E14B10 |   4224/60000 (  7%) ] Loss: 0.0049 top1=100.0000

=== Log global consensus distance @ E14B10 ===
consensus_distance=1.110



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=4.210


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0215 top1= 99.4318

=== Log global consensus distance @ E14B20 ===
consensus_distance=1.103



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.213



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7325 top1= 72.4259


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.3320 top1= 48.0669


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.2315 top1= 44.4912

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0049 top1=100.0000

=== Log global consensus distance @ E15B0 ===
consensus_distance=1.102



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.003
clique2_consensus_distance=4.210


[E15B10 |   4224/60000 (  7%) ] Loss: 0.0075 top1=100.0000

=== Log global consensus distance @ E15B10 ===
consensus_distance=1.091



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.157


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0055 top1=100.0000

=== Log global consensus distance @ E15B20 ===
consensus_distance=1.080



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.131



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8782 top1= 68.1390


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4810 top1= 46.3642


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7955 top1= 45.1322

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0094 top1= 99.7159

=== Log global consensus distance @ E16B0 ===
consensus_distance=1.094



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.045
clique2_consensus_distance=4.120


[E16B10 |   4224/60000 (  7%) ] Loss: 0.0096 top1= 99.7159

=== Log global consensus distance @ E16B10 ===
consensus_distance=1.086



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.023
clique2_consensus_distance=4.104


[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0094 top1=100.0000

=== Log global consensus distance @ E16B20 ===
consensus_distance=1.066



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.076



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8789 top1= 68.2993


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0707 top1= 46.7348


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9552 top1= 45.2624

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0066 top1=100.0000

=== Log global consensus distance @ E17B0 ===
consensus_distance=1.072



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.030
clique2_consensus_distance=4.067


[E17B10 |   4224/60000 (  7%) ] Loss: 0.0143 top1= 99.7159

=== Log global consensus distance @ E17B10 ===
consensus_distance=1.052



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.014
clique2_consensus_distance=4.056


[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0122 top1= 99.7159

=== Log global consensus distance @ E17B20 ===
consensus_distance=1.030



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=4.007



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7242 top1= 72.9667


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6757 top1= 48.7179


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0081 top1= 45.0621

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0154 top1= 99.4318

=== Log global consensus distance @ E18B0 ===
consensus_distance=1.036



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=4.000


[E18B10 |   4224/60000 (  7%) ] Loss: 0.0056 top1=100.0000

=== Log global consensus distance @ E18B10 ===
consensus_distance=1.031



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.983


[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0126 top1= 99.4318

=== Log global consensus distance @ E18B20 ===
consensus_distance=1.012



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.933



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7481 top1= 73.2071


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9458 top1= 49.3389


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9138 top1= 45.0721

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0092 top1= 99.7159

=== Log global consensus distance @ E19B0 ===
consensus_distance=0.994



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=3.885


[E19B10 |   4224/60000 (  7%) ] Loss: 0.0085 top1= 99.7159

=== Log global consensus distance @ E19B10 ===
consensus_distance=0.979



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.845


[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0217 top1= 99.1477

=== Log global consensus distance @ E19B20 ===
consensus_distance=0.968



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.795



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8169 top1= 70.8333


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9690 top1= 49.0284


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.7169 top1= 45.3125

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0166 top1= 99.7159

=== Log global consensus distance @ E20B0 ===
consensus_distance=0.966



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.756


[E20B10 |   4224/60000 (  7%) ] Loss: 0.0080 top1=100.0000

=== Log global consensus distance @ E20B10 ===
consensus_distance=0.969



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.744


[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0066 top1=100.0000

=== Log global consensus distance @ E20B20 ===
consensus_distance=0.961



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=3.716



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6610 top1= 76.0116


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8743 top1= 49.1186


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8000 top1= 42.8285

