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

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=2)

Train epoch 1
[E 1B0  |    416/60000 (  1%) ] Loss: 2.3051 top1=  8.5227

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([9, 9, 2, 5, 8], device='cuda:0')
Worker 1 has targets: tensor([3, 4, 1, 1, 9], device='cuda:0')
Worker 2 has targets: tensor([5, 0, 6, 6, 2], device='cuda:0')
Worker 3 has targets: tensor([4, 6, 5, 0, 1], device='cuda:0')
Worker 4 has targets: tensor([7, 8, 5, 1, 0], device='cuda:0')
Worker 5 has targets: tensor([4, 9, 4, 4, 7], device='cuda:0')
Worker 6 has targets: tensor([9, 9, 7, 4, 9], device='cuda:0')
Worker 7 has targets: tensor([6, 3, 4, 0, 2], device='cuda:0')
Worker 8 has targets: tensor([8, 1, 1, 0, 6], device='cuda:0')
Worker 9 has targets: tensor([8, 3, 8, 7, 8], device='cuda:0')
Worker 10 has targets: tensor([7, 2, 7, 0, 7], device='cuda:0')
Worker 11 has targets: tensor([4, 5, 3, 6, 7], device='cuda:0')
Worker 12 has targets: tensor([8, 0, 3, 7, 2], device='cuda:0')



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.000



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


[E 1B10 |   4576/60000 (  8%) ] Loss: 2.2737 top1= 15.6250

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.001


[E 1B20 |   8736/60000 ( 15%) ] Loss: 2.2127 top1= 25.0000

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.000



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1377 top1= 44.1607


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1203 top1= 45.6330


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1240 top1= 44.6014

Train epoch 2
[E 2B0  |    416/60000 (  1%) ] Loss: 2.1198 top1= 38.0682

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



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


[E 2B10 |   4576/60000 (  8%) ] Loss: 2.0184 top1= 45.1705

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



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


[E 2B20 |   8736/60000 ( 15%) ] Loss: 1.8798 top1= 52.8409

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.001



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7247 top1= 63.8321


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6800 top1= 65.9956


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6904 top1= 63.5617

Train epoch 3
[E 3B0  |    416/60000 (  1%) ] Loss: 1.7107 top1= 55.9659

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



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.006


[E 3B10 |   4576/60000 (  8%) ] Loss: 1.4586 top1= 66.4773

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.002



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.007


[E 3B20 |   8736/60000 ( 15%) ] Loss: 1.2656 top1= 68.7500

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.003



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.009



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0448 top1= 77.6542


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9926 top1= 79.4972


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0051 top1= 77.2937

Train epoch 4
[E 4B0  |    416/60000 (  1%) ] Loss: 1.0913 top1= 70.4545

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.003



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.010


[E 4B10 |   4576/60000 (  8%) ] Loss: 0.8399 top1= 77.5568

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.003



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.012


[E 4B20 |   8736/60000 ( 15%) ] Loss: 0.7884 top1= 78.9773

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.003



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.012



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6466 top1= 83.9944


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6262 top1= 85.0962


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6311 top1= 83.6639

Train epoch 5
[E 5B0  |    416/60000 (  1%) ] Loss: 0.7144 top1= 80.3977

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



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.014


[E 5B10 |   4576/60000 (  8%) ] Loss: 0.5646 top1= 84.3750

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



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.015


[E 5B20 |   8736/60000 ( 15%) ] Loss: 0.5857 top1= 82.9545

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5002 top1= 86.7188


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4936 top1= 87.2696


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4952 top1= 86.4683

Train epoch 6
[E 6B0  |    416/60000 (  1%) ] Loss: 0.5394 top1= 84.6591

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



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.017


[E 6B10 |   4576/60000 (  8%) ] Loss: 0.4445 top1= 86.9318

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.004



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.019


[E 6B20 |   8736/60000 ( 15%) ] Loss: 0.4922 top1= 87.2159

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4312 top1= 88.3313


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4283 top1= 88.4816


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4307 top1= 87.9708

Train epoch 7
[E 7B0  |    416/60000 (  1%) ] Loss: 0.4475 top1= 86.9318

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



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


[E 7B10 |   4576/60000 (  8%) ] Loss: 0.3796 top1= 89.7727

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



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E 7B20 |   8736/60000 ( 15%) ] Loss: 0.4368 top1= 88.9205

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3916 top1= 89.0124


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3898 top1= 88.9623


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3933 top1= 88.7620

Train epoch 8
[E 8B0  |    416/60000 (  1%) ] Loss: 0.3918 top1= 88.3523

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



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E 8B10 |   4576/60000 (  8%) ] Loss: 0.3385 top1= 91.1932

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



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E 8B20 |   8736/60000 ( 15%) ] Loss: 0.3977 top1= 90.6250

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



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3652 top1= 89.5132


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3638 top1= 89.6134


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3681 top1= 89.3129

Train epoch 9
[E 9B0  |    416/60000 (  1%) ] Loss: 0.3529 top1= 89.7727

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



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


[E 9B10 |   4576/60000 (  8%) ] Loss: 0.3060 top1= 91.4773

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E 9B20 |   8736/60000 ( 15%) ] Loss: 0.3678 top1= 91.1932

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3458 top1= 89.9539


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3443 top1= 90.0441


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3501 top1= 89.7035

Train epoch 10
[E10B0  |    416/60000 (  1%) ] Loss: 0.3231 top1= 89.7727

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



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E10B10 |   4576/60000 (  8%) ] Loss: 0.2796 top1= 92.3295

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E10B20 |   8736/60000 ( 15%) ] Loss: 0.3436 top1= 91.1932

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3307 top1= 90.3446


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3295 top1= 90.4046


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3353 top1= 90.1142

Train epoch 11
[E11B0  |    416/60000 (  1%) ] Loss: 0.2997 top1= 90.3409

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



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E11B10 |   4576/60000 (  8%) ] Loss: 0.2575 top1= 92.8977

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



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E11B20 |   8736/60000 ( 15%) ] Loss: 0.3219 top1= 91.4773

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



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3185 top1= 90.7252


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3176 top1= 90.7752


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3236 top1= 90.3946

Train epoch 12
[E12B0  |    416/60000 (  1%) ] Loss: 0.2796 top1= 90.9091

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



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E12B10 |   4576/60000 (  8%) ] Loss: 0.2383 top1= 94.0341

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



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E12B20 |   8736/60000 ( 15%) ] Loss: 0.3026 top1= 91.4773

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



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3081 top1= 91.0256


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.3072 top1= 91.0857


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3134 top1= 90.7151

Train epoch 13
[E13B0  |    416/60000 (  1%) ] Loss: 0.2609 top1= 92.3295

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



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E13B10 |   4576/60000 (  8%) ] Loss: 0.2209 top1= 94.6023

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



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E13B20 |   8736/60000 ( 15%) ] Loss: 0.2843 top1= 92.0455

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



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2994 top1= 91.2560


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2987 top1= 91.3762


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3050 top1= 90.9555

Train epoch 14
[E14B0  |    416/60000 (  1%) ] Loss: 0.2451 top1= 92.6136

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



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E14B10 |   4576/60000 (  8%) ] Loss: 0.2052 top1= 94.3182

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



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E14B20 |   8736/60000 ( 15%) ] Loss: 0.2669 top1= 92.3295

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



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2916 top1= 91.4864


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2909 top1= 91.5164


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2973 top1= 91.1859

Train epoch 15
[E15B0  |    416/60000 (  1%) ] Loss: 0.2300 top1= 93.1818

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



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E15B10 |   4576/60000 (  8%) ] Loss: 0.1928 top1= 94.6023

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



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E15B20 |   8736/60000 ( 15%) ] Loss: 0.2503 top1= 92.6136

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



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2849 top1= 91.6166


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2843 top1= 91.7568


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2905 top1= 91.3462

Train epoch 16
[E16B0  |    416/60000 (  1%) ] Loss: 0.2157 top1= 94.0341

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



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


[E16B10 |   4576/60000 (  8%) ] Loss: 0.1792 top1= 94.8864

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



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E16B20 |   8736/60000 ( 15%) ] Loss: 0.2362 top1= 93.7500

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



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2789 top1= 91.7969


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2784 top1= 91.9671


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2842 top1= 91.5064

Train epoch 17
[E17B0  |    416/60000 (  1%) ] Loss: 0.2029 top1= 94.0341

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



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


[E17B10 |   4576/60000 (  8%) ] Loss: 0.1677 top1= 95.7386

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



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E17B20 |   8736/60000 ( 15%) ] Loss: 0.2217 top1= 94.6023

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



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2736 top1= 91.9671


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2733 top1= 92.0773


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2788 top1= 91.6767

Train epoch 18
[E18B0  |    416/60000 (  1%) ] Loss: 0.1905 top1= 94.0341

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



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E18B10 |   4576/60000 (  8%) ] Loss: 0.1570 top1= 96.5909

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



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E18B20 |   8736/60000 ( 15%) ] Loss: 0.2087 top1= 94.6023

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



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2689 top1= 92.1074


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2689 top1= 92.1775


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2740 top1= 91.8169

Train epoch 19
[E19B0  |    416/60000 (  1%) ] Loss: 0.1793 top1= 94.6023

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



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E19B10 |   4576/60000 (  8%) ] Loss: 0.1471 top1= 96.5909

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



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E19B20 |   8736/60000 ( 15%) ] Loss: 0.1968 top1= 94.8864

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2646 top1= 92.2175


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2646 top1= 92.2977


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2698 top1= 91.9171

Train epoch 20
[E20B0  |    416/60000 (  1%) ] Loss: 0.1677 top1= 94.6023

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



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026


[E20B10 |   4576/60000 (  8%) ] Loss: 0.1373 top1= 97.1591

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



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


[E20B20 |   8736/60000 ( 15%) ] Loss: 0.1852 top1= 95.1705

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2608 top1= 92.2476


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2610 top1= 92.3978


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2659 top1= 92.1074

Train epoch 21
[E21B0  |    416/60000 (  1%) ] Loss: 0.1575 top1= 95.4545

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



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


[E21B10 |   4576/60000 (  8%) ] Loss: 0.1282 top1= 97.7273

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



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E21B20 |   8736/60000 ( 15%) ] Loss: 0.1738 top1= 95.1705

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



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2574 top1= 92.3578


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2579 top1= 92.4679


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2621 top1= 92.2175

Train epoch 22
[E22B0  |    416/60000 (  1%) ] Loss: 0.1485 top1= 95.7386

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



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


[E22B10 |   4576/60000 (  8%) ] Loss: 0.1202 top1= 98.5795

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



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E22B20 |   8736/60000 ( 15%) ] Loss: 0.1649 top1= 95.7386

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



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2541 top1= 92.4780


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2552 top1= 92.5681


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2587 top1= 92.3478

Train epoch 23
[E23B0  |    416/60000 (  1%) ] Loss: 0.1392 top1= 96.0227

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



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E23B10 |   4576/60000 (  8%) ] Loss: 0.1123 top1= 98.5795

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



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.025


[E23B20 |   8736/60000 ( 15%) ] Loss: 0.1547 top1= 96.3068

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2515 top1= 92.4980


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2523 top1= 92.6583


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2563 top1= 92.4079

Train epoch 24
[E24B0  |    416/60000 (  1%) ] Loss: 0.1312 top1= 96.5909

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



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


[E24B10 |   4576/60000 (  8%) ] Loss: 0.1053 top1= 98.5795

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



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E24B20 |   8736/60000 ( 15%) ] Loss: 0.1458 top1= 96.3068

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



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2491 top1= 92.5881


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2503 top1= 92.7083


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2532 top1= 92.5080

Train epoch 25
[E25B0  |    416/60000 (  1%) ] Loss: 0.1234 top1= 96.8750

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



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E25B10 |   4576/60000 (  8%) ] Loss: 0.0992 top1= 98.5795

=== Log global consensus distance @ E25B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E25B20 |   8736/60000 ( 15%) ] Loss: 0.1372 top1= 96.3068

=== Log global consensus distance @ E25B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2472 top1= 92.6482


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2485 top1= 92.7784


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2507 top1= 92.6082

Train epoch 26
[E26B0  |    416/60000 (  1%) ] Loss: 0.1159 top1= 97.1591

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



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E26B10 |   4576/60000 (  8%) ] Loss: 0.0930 top1= 98.8636

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



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E26B20 |   8736/60000 ( 15%) ] Loss: 0.1285 top1= 96.3068

=== Log global consensus distance @ E26B20 ===
consensus_distance=0.005



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2452 top1= 92.7183


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2466 top1= 92.8385


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2487 top1= 92.6382

Train epoch 27
[E27B0  |    416/60000 (  1%) ] Loss: 0.1083 top1= 97.1591

=== Log global consensus distance @ E27B0 ===
consensus_distance=0.005



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


[E27B10 |   4576/60000 (  8%) ] Loss: 0.0873 top1= 98.8636

=== Log global consensus distance @ E27B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E27B20 |   8736/60000 ( 15%) ] Loss: 0.1207 top1= 96.3068

=== Log global consensus distance @ E27B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2440 top1= 92.8085


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2451 top1= 92.9387


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2472 top1= 92.7484

Train epoch 28
[E28B0  |    416/60000 (  1%) ] Loss: 0.1019 top1= 97.4432

=== Log global consensus distance @ E28B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E28B10 |   4576/60000 (  8%) ] Loss: 0.0823 top1= 98.8636

=== Log global consensus distance @ E28B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E28B20 |   8736/60000 ( 15%) ] Loss: 0.1128 top1= 96.5909

=== Log global consensus distance @ E28B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2431 top1= 92.8085


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2444 top1= 92.9587


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2456 top1= 92.7584

Train epoch 29
[E29B0  |    416/60000 (  1%) ] Loss: 0.0948 top1= 97.7273

=== Log global consensus distance @ E29B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E29B10 |   4576/60000 (  8%) ] Loss: 0.0771 top1= 98.8636

=== Log global consensus distance @ E29B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E29B20 |   8736/60000 ( 15%) ] Loss: 0.1062 top1= 96.8750

=== Log global consensus distance @ E29B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2420 top1= 92.8586


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2432 top1= 92.9788


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2441 top1= 92.8185

Train epoch 30
[E30B0  |    416/60000 (  1%) ] Loss: 0.0891 top1= 98.0114

=== Log global consensus distance @ E30B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E30B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.022


[E30B10 |   4576/60000 (  8%) ] Loss: 0.0730 top1= 98.8636

=== Log global consensus distance @ E30B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E30B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E30B20 |   8736/60000 ( 15%) ] Loss: 0.0988 top1= 97.1591

=== Log global consensus distance @ E30B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2424 top1= 92.8285


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2426 top1= 92.9988


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2433 top1= 92.8085

Train epoch 31
[E31B0  |    416/60000 (  1%) ] Loss: 0.0835 top1= 98.2955

=== Log global consensus distance @ E31B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E31B10 |   4576/60000 (  8%) ] Loss: 0.0691 top1= 98.8636

=== Log global consensus distance @ E31B10 ===
consensus_distance=0.005



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E31B20 |   8736/60000 ( 15%) ] Loss: 0.1225 top1= 96.3068

=== Log global consensus distance @ E31B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2707 top1= 92.0373


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2527 top1= 92.6382


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2496 top1= 92.7083

Train epoch 32
[E32B0  |    416/60000 (  1%) ] Loss: 0.1633 top1= 95.1705

=== Log global consensus distance @ E32B0 ===
consensus_distance=0.007



=== Log clique consensus distance @ E32B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.021


[E32B10 |   4576/60000 (  8%) ] Loss: 0.7636 top1= 90.9091

=== Log global consensus distance @ E32B10 ===
consensus_distance=0.029



=== Log clique consensus distance @ E32B10 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=0.023


[E32B20 |   8736/60000 ( 15%) ] Loss: nan top1= 67.3295

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



=== Log clique consensus distance @ E32B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 33
[E33B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E33B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E33B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E33B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 34
[E34B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E34B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E34B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E34B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 35
[E35B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E35B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E35B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E35B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 36
[E36B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E36B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E36B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E36B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 37
[E37B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E37B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E37B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E37B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 38
[E38B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E38B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E38B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E38B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 39
[E39B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E39B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E39B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E39B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 40
[E40B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E40B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E40B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E40B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

