
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.95)
=> Add worker SGDMWorker(index=1, momentum=0.95)
=> Add worker SGDMWorker(index=2, momentum=0.95)
=> Add worker SGDMWorker(index=3, momentum=0.95)
=> Add worker SGDMWorker(index=4, momentum=0.95)
=> Add worker SGDMWorker(index=5, momentum=0.95)
=> Add worker SGDMWorker(index=6, momentum=0.95)
=> Add worker SGDMWorker(index=7, momentum=0.95)
=> Add worker SGDMWorker(index=8, momentum=0.95)
=> Add worker SGDMWorker(index=9, momentum=0.95)
=> Add worker SGDMWorker(index=10, momentum=0.95)
=> Add worker ByzantineWorker(index=11)
=> Add worker ByzantineWorker(index=12)
=> Add worker ByzantineWorker(index=13)

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=3)

Train epoch 1
[E 1B0  |    448/60000 (  1%) ] Loss: 2.3094 top1=  7.9545

=== 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, 0, 1, 1], device='cuda:0')
Worker 2 has targets: tensor([1, 1, 1, 1, 1], device='cuda:0')
Worker 3 has targets: tensor([2, 2, 2, 2, 2], device='cuda:0')
Worker 4 has targets: tensor([3, 3, 2, 3, 3], device='cuda:0')
Worker 5 has targets: tensor([3, 3, 3, 3, 3], device='cuda:0')
Worker 6 has targets: tensor([4, 4, 4, 4, 4], device='cuda:0')
Worker 7 has targets: tensor([5, 5, 5, 5, 5], device='cuda:0')
Worker 8 has targets: tensor([6, 6, 5, 6, 6], device='cuda:0')
Worker 9 has targets: tensor([6, 6, 6, 6, 6], device='cuda:0')
Worker 10 has targets: tensor([7, 7, 7, 7, 7], device='cuda:0')
Worker 11 has targets: tensor([8, 8, 8, 8, 8], device='cuda:0')
Worker 12 has targets: tensor([9, 9, 8, 9, 9], device='cuda:0')
Worker 13 has targets: tensor([9, 9, 9, 9, 9], 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 |   4928/60000 (  8%) ] Loss: 1.8533 top1= 49.4318

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.043



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.045


[E 1B20 |   9408/60000 ( 16%) ] Loss: 2.0181 top1= 38.6364

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.700



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=0.322



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=113.6986 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.8572 top1= 27.5140


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.6854 top1= 16.8369

Train epoch 2
[E 2B0  |    448/60000 (  1%) ] Loss: 1.1273 top1= 52.8409

=== Log global consensus distance @ E2B0 ===
consensus_distance=3.375



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.022
clique2_consensus_distance=1.367


[E 2B10 |   4928/60000 (  8%) ] Loss: 0.7157 top1= 75.0000

=== Log global consensus distance @ E2B10 ===
consensus_distance=7.907



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.023
clique2_consensus_distance=2.920


[E 2B20 |   9408/60000 ( 16%) ] Loss: 0.4906 top1= 82.6705

=== Log global consensus distance @ E2B20 ===
consensus_distance=13.689



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=4.159



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1839.7491 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.4640 top1= 34.6554


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.6030 top1= 37.1595

Train epoch 3
[E 3B0  |    448/60000 (  1%) ] Loss: 0.4346 top1= 85.5114

=== Log global consensus distance @ E3B0 ===
consensus_distance=20.803



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=5.373


[E 3B10 |   4928/60000 (  8%) ] Loss: 0.2596 top1= 92.0455

=== Log global consensus distance @ E3B10 ===
consensus_distance=29.523



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=7.050


[E 3B20 |   9408/60000 ( 16%) ] Loss: 0.1967 top1= 92.3295

=== Log global consensus distance @ E3B20 ===
consensus_distance=39.387



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=8.439



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8698.4700 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=21.5314 top1= 39.6735


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=19.3296 top1= 41.8369

Train epoch 4
[E 4B0  |    448/60000 (  1%) ] Loss: 0.2011 top1= 93.4659

=== Log global consensus distance @ E4B0 ===
consensus_distance=50.543



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=9.784


[E 4B10 |   4928/60000 (  8%) ] Loss: 0.1407 top1= 95.7386

=== Log global consensus distance @ E4B10 ===
consensus_distance=62.999



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=11.131


[E 4B20 |   9408/60000 ( 16%) ] Loss: 0.1382 top1= 95.1705

=== Log global consensus distance @ E4B20 ===
consensus_distance=76.671



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=12.384



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=25615.8968 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=41.1981 top1= 38.9523


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=36.6850 top1= 44.0104

Train epoch 5
[E 5B0  |    448/60000 (  1%) ] Loss: 0.0945 top1= 95.4545

=== Log global consensus distance @ E5B0 ===
consensus_distance=91.680



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=13.694


[E 5B10 |   4928/60000 (  8%) ] Loss: 0.1544 top1= 95.4545

=== Log global consensus distance @ E5B10 ===
consensus_distance=107.925



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=14.954


[E 5B20 |   9408/60000 ( 16%) ] Loss: 0.1254 top1= 95.7386

=== Log global consensus distance @ E5B20 ===
consensus_distance=125.463



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=16.256



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=58973.7995 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=65.0403 top1= 39.3329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=56.5357 top1= 40.7953

Train epoch 6
[E 6B0  |    448/60000 (  1%) ] Loss: 0.1212 top1= 96.0227

=== Log global consensus distance @ E6B0 ===
consensus_distance=144.353



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=17.618


[E 6B10 |   4928/60000 (  8%) ] Loss: 0.1578 top1= 95.4545

=== Log global consensus distance @ E6B10 ===
consensus_distance=164.452



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=18.904


[E 6B20 |   9408/60000 ( 16%) ] Loss: 0.0961 top1= 96.5909

=== Log global consensus distance @ E6B20 ===
consensus_distance=185.860



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=20.272



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=116553.8162 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=92.0365 top1= 36.2580


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=76.8173 top1= 43.0689

Train epoch 7
[E 7B0  |    448/60000 (  1%) ] Loss: 0.0990 top1= 96.3068

=== Log global consensus distance @ E7B0 ===
consensus_distance=208.666



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=21.771


[E 7B10 |   4928/60000 (  8%) ] Loss: 0.0939 top1= 98.0114

=== Log global consensus distance @ E7B10 ===
consensus_distance=232.605



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=23.120


[E 7B20 |   9408/60000 ( 16%) ] Loss: 0.2418 top1= 94.3182

=== Log global consensus distance @ E7B20 ===
consensus_distance=257.949



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=24.690



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=207658.4786 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=115.6902 top1= 34.9459


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=95.5556 top1= 40.8053

Train epoch 8
[E 8B0  |    448/60000 (  1%) ] Loss: 0.1085 top1= 96.5909

=== Log global consensus distance @ E8B0 ===
consensus_distance=284.651



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=26.358


[E 8B10 |   4928/60000 (  8%) ] Loss: 0.2698 top1= 95.4545

=== Log global consensus distance @ E8B10 ===
consensus_distance=312.649



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=28.055


[E 8B20 |   9408/60000 ( 16%) ] Loss: 0.3095 top1= 96.0227

=== Log global consensus distance @ E8B20 ===
consensus_distance=341.791



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=29.633



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=340653.5369 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=110.4491 top1= 38.6018


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=95.2216 top1= 43.0489

Train epoch 9
[E 9B0  |    448/60000 (  1%) ] Loss: 0.1335 top1= 96.3068

=== Log global consensus distance @ E9B0 ===
consensus_distance=372.457



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=31.519


[E 9B10 |   4928/60000 (  8%) ] Loss: 0.1552 top1= 96.3068

=== Log global consensus distance @ E9B10 ===
consensus_distance=404.250



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=33.139


[E 9B20 |   9408/60000 ( 16%) ] Loss: 0.5045 top1= 92.0455

=== Log global consensus distance @ E9B20 ===
consensus_distance=437.191



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=34.776



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=529584.2504 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=103.6425 top1= 39.3229


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=93.8379 top1= 43.8802

Train epoch 10
[E10B0  |    448/60000 (  1%) ] Loss: 0.2770 top1= 94.6023

=== Log global consensus distance @ E10B0 ===
consensus_distance=471.582



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=36.624


[E10B10 |   4928/60000 (  8%) ] Loss: 0.1980 top1= 96.0227

=== Log global consensus distance @ E10B10 ===
consensus_distance=507.211



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.024
clique2_consensus_distance=38.542


[E10B20 |   9408/60000 ( 16%) ] Loss: 0.3313 top1= 95.4545

=== Log global consensus distance @ E10B20 ===
consensus_distance=543.971



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=40.205



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=785959.0873 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=80.9491 top1= 39.5132


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=63.7916 top1= 43.2392

Train epoch 11
[E11B0  |    448/60000 (  1%) ] Loss: 0.1195 top1= 96.0227

=== Log global consensus distance @ E11B0 ===
consensus_distance=581.844



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=41.579


[E11B10 |   4928/60000 (  8%) ] Loss: 0.3454 top1= 95.1705

=== Log global consensus distance @ E11B10 ===
consensus_distance=620.748



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=42.903


[E11B20 |   9408/60000 ( 16%) ] Loss: 0.3008 top1= 93.7500

=== Log global consensus distance @ E11B20 ===
consensus_distance=661.619



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=45.022



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1124479.7901 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=58.9307 top1= 40.0140


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=48.0779 top1= 40.9455

Train epoch 12
[E12B0  |    448/60000 (  1%) ] Loss: 0.1386 top1= 97.1591

=== Log global consensus distance @ E12B0 ===
consensus_distance=703.203



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=46.752


[E12B10 |   4928/60000 (  8%) ] Loss: 0.1858 top1= 94.8864

=== Log global consensus distance @ E12B10 ===
consensus_distance=746.047



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=48.423


[E12B20 |   9408/60000 ( 16%) ] Loss: 3.4401 top1= 89.4886

=== Log global consensus distance @ E12B20 ===
consensus_distance=791.013



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=50.992



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1566982.4071 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=53.6657 top1= 39.7035


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=33.8842 top1= 44.3309

Train epoch 13
[E13B0  |    448/60000 (  1%) ] Loss: 0.2399 top1= 94.8864

=== Log global consensus distance @ E13B0 ===
consensus_distance=836.771



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=53.798


[E13B10 |   4928/60000 (  8%) ] Loss: 0.3313 top1= 94.0341

=== Log global consensus distance @ E13B10 ===
consensus_distance=883.741



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=56.319


[E13B20 |   9408/60000 ( 16%) ] Loss: 0.2608 top1= 95.1705

=== Log global consensus distance @ E13B20 ===
consensus_distance=931.261



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=58.071



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2099426.1522 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=40.3973 top1= 40.3446


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=25.4666 top1= 44.6815

Train epoch 14
[E14B0  |    448/60000 (  1%) ] Loss: 0.1612 top1= 96.5909

=== Log global consensus distance @ E14B0 ===
consensus_distance=980.338



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=59.714


[E14B10 |   4928/60000 (  8%) ] Loss: 0.1903 top1= 96.3068

=== Log global consensus distance @ E14B10 ===
consensus_distance=1030.031



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=60.853


[E14B20 |   9408/60000 ( 16%) ] Loss: 0.1240 top1= 97.4432

=== Log global consensus distance @ E14B20 ===
consensus_distance=1081.012



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=61.854



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2823259.6731 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=47.9541 top1= 40.3946


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=22.7450 top1= 44.3409

Train epoch 15
[E15B0  |    448/60000 (  1%) ] Loss: 0.0423 top1= 97.7273

=== Log global consensus distance @ E15B0 ===
consensus_distance=1132.851



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=62.336


[E15B10 |   4928/60000 (  8%) ] Loss: 0.2804 top1= 94.6023

=== Log global consensus distance @ E15B10 ===
consensus_distance=1186.174



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=62.949


[E15B20 |   9408/60000 ( 16%) ] Loss: 0.0750 top1= 97.4432

=== Log global consensus distance @ E15B20 ===
consensus_distance=1240.449



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=63.403



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3740607.7564 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=43.4264 top1= 40.4247


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=19.9771 top1= 44.5513

Train epoch 16
[E16B0  |    448/60000 (  1%) ] Loss: 0.0331 top1= 99.1477

=== Log global consensus distance @ E16B0 ===
consensus_distance=1296.002



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=63.888


[E16B10 |   4928/60000 (  8%) ] Loss: 0.1224 top1= 97.7273

=== Log global consensus distance @ E16B10 ===
consensus_distance=1352.508



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=64.279


[E16B20 |   9408/60000 ( 16%) ] Loss: 0.5565 top1= 92.0455

=== Log global consensus distance @ E16B20 ===
consensus_distance=1410.580



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=64.721



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4872300.6859 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=42.4540 top1= 40.7252


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=18.1476 top1= 45.7532

Train epoch 17
[E17B0  |    448/60000 (  1%) ] Loss: 0.1718 top1= 96.5909

=== Log global consensus distance @ E17B0 ===
consensus_distance=1469.815



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=65.445


[E17B10 |   4928/60000 (  8%) ] Loss: 0.1122 top1= 97.1591

=== Log global consensus distance @ E17B10 ===
consensus_distance=1530.137



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=66.137


[E17B20 |   9408/60000 ( 16%) ] Loss: 0.1509 top1= 96.8750

=== Log global consensus distance @ E17B20 ===
consensus_distance=1591.490



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=66.423



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6274269.2885 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=39.6485 top1= 40.3846


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=17.2466 top1= 44.3109

Train epoch 18
[E18B0  |    448/60000 (  1%) ] Loss: 0.0789 top1= 97.7273

=== Log global consensus distance @ E18B0 ===
consensus_distance=1654.033



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=66.719


[E18B10 |   4928/60000 (  8%) ] Loss: 1.8514 top1= 90.0568

=== Log global consensus distance @ E18B10 ===
consensus_distance=1718.044



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=67.262


[E18B20 |   9408/60000 ( 16%) ] Loss: 0.2557 top1= 95.7386

=== Log global consensus distance @ E18B20 ===
consensus_distance=1784.689



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=70.013



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8024193.9231 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=99.7016 top1= 40.1643


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=15.0796 top1= 45.7732

Train epoch 19
[E19B0  |    448/60000 (  1%) ] Loss: 0.1878 top1= 96.0227

=== Log global consensus distance @ E19B0 ===
consensus_distance=1852.218



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=72.599


[E19B10 |   4928/60000 (  8%) ] Loss: 0.6172 top1= 95.1705

=== Log global consensus distance @ E19B10 ===
consensus_distance=1920.876



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.025
clique2_consensus_distance=75.516


[E19B20 |   9408/60000 ( 16%) ] Loss: 1.1900 top1= 96.0227

=== Log global consensus distance @ E19B20 ===
consensus_distance=1989.950



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=77.486



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9969013.1538 top1= 10.2865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=144.1260 top1= 39.0425


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=16.6786 top1= 42.8486

Train epoch 20
[E20B0  |    448/60000 (  1%) ] Loss: 0.4371 top1= 96.0227

=== Log global consensus distance @ E20B0 ===
consensus_distance=2060.955



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=79.234


[E20B10 |   4928/60000 (  8%) ] Loss: 0.5014 top1= 95.7386

=== Log global consensus distance @ E20B10 ===
consensus_distance=2131.943



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=80.368


[E20B20 |   9408/60000 ( 16%) ] Loss: 1.7139 top1= 89.7727

=== Log global consensus distance @ E20B20 ===
consensus_distance=2205.654



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.026
clique2_consensus_distance=81.707



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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=68.5900 top1= 40.2644


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

Train epoch 21
[E21B0  |    448/60000 (  1%) ] Loss: nan top1= 43.7500

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



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E21B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E21B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E21B20 ===
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 22
[E22B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E22B20 ===
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 23
[E23B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E23B20 ===
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 24
[E24B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E24B20 ===
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 25
[E25B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E25B20 ===
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 26
[E26B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E26B20 ===
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 27
[E27B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E27B20 ===
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 28
[E28B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E28B20 ===
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 29
[E29B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E29B20 ===
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 30
[E30B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E30B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E30B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E30B20 ===
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 31
[E31B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

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



=== Log clique consensus distance @ E31B20 ===
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 32
[E32B0  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



=== Log clique consensus distance @ E32B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



=== Log clique consensus distance @ E32B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E33B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E33B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E34B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E34B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E35B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E35B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E36B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E36B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E37B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E37B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E38B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E38B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E39B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E39B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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  |    448/60000 (  1%) ] Loss: nan top1= 13.6364

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



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


[E40B10 |   4928/60000 (  8%) ] Loss: nan top1= 13.3523

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



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


[E40B20 |   9408/60000 ( 16%) ] Loss: nan top1= 11.9318

=== 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

