
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.9)
=> Add worker SGDMWorker(index=1, momentum=0.9)
=> Add worker SGDMWorker(index=2, momentum=0.9)
=> Add worker SGDMWorker(index=3, momentum=0.9)
=> Add worker SGDMWorker(index=4, momentum=0.9)
=> Add worker SGDMWorker(index=5, momentum=0.9)
=> Add worker SGDMWorker(index=6, momentum=0.9)
=> Add worker SGDMWorker(index=7, momentum=0.9)
=> Add worker SGDMWorker(index=8, momentum=0.9)
=> Add worker SGDMWorker(index=9, momentum=0.9)
=> Add worker SGDMWorker(index=10, momentum=0.9)
=> Add worker ByzantineWorker(index=11)

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=1)

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3142 top1=  7.6705

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



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.001



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002



=== Log mixing matrix @ E1B0 ===
[[0.167 0.167 0.167 0.167 0.167 0.    0.    0.    0.    0.    0.167 0.   ]
 [0.167 0.233 0.2   0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.233 0.2   0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.233 0.2   0.    0.    0.    0.    0.    0.    0.   ]
 [0.167 0.2   0.2   0.2   0.233 0.    0.    0.    0.    0.    0.    0.   ]
 [0.    0.    0.    0.    0.    0.233 0.2   0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.233 0.2   0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.233 0.2   0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.2   0.2   0.2   0.233 0.167 0.    0.   ]
 [0.    0.    0.    0.    0.    0.167 0.167 0.167 0.167 0.167 0.167 0.   ]
 [0.167 0.    0.    0.    0.    0.    0.    0.    0.    0.167 0.167 0.5  ]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.5   0.5  ]]


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.9390 top1= 69.0341

=== Log global consensus distance @ E1B10 ===
consensus_distance=1.125



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.036
clique2_consensus_distance=1.624


[E 1B20 |   8064/60000 ( 13%) ] Loss: 1.7306 top1= 87.5000

=== Log global consensus distance @ E1B20 ===
consensus_distance=7.435



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.050
clique2_consensus_distance=5.303



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.5717 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.3712 top1= 40.1442


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.2392 top1= 38.3914

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1999 top1= 94.8864

=== Log global consensus distance @ E2B0 ===
consensus_distance=17.487



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.053
clique2_consensus_distance=8.016


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.2258 top1= 93.7500

=== Log global consensus distance @ E2B10 ===
consensus_distance=31.118



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.055
clique2_consensus_distance=10.335


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.6078 top1= 94.0341

=== Log global consensus distance @ E2B20 ===
consensus_distance=47.277



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.056
clique2_consensus_distance=12.558



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.1445 top1= 15.6050


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.5007 top1= 42.8285


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.1683 top1= 44.6715

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1684 top1= 94.8864

=== Log global consensus distance @ E3B0 ===
consensus_distance=69.056



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.057
clique2_consensus_distance=14.886


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1604 top1= 94.8864

=== Log global consensus distance @ E3B10 ===
consensus_distance=96.773



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.057
clique2_consensus_distance=17.147


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1601 top1= 95.1705

=== Log global consensus distance @ E3B20 ===
consensus_distance=125.813



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.057
clique2_consensus_distance=19.350



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.4557 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0073 top1= 46.8750


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9418 top1= 45.7732

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.2058 top1= 94.6023

=== Log global consensus distance @ E4B0 ===
consensus_distance=155.987



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=21.552


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.1739 top1= 94.6023

=== Log global consensus distance @ E4B10 ===
consensus_distance=188.170



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=23.947


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.1450 top1= 96.0227

=== Log global consensus distance @ E4B20 ===
consensus_distance=222.498



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=26.081



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.8151 top1=  9.9559


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8396 top1= 47.9367


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.5483 top1= 44.6915

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1276 top1= 96.0227

=== Log global consensus distance @ E5B0 ===
consensus_distance=259.149



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=27.889


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.1439 top1= 95.1705

=== Log global consensus distance @ E5B10 ===
consensus_distance=298.442



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=29.745


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.1139 top1= 96.5909

=== Log global consensus distance @ E5B20 ===
consensus_distance=340.302



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=31.429



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.2639 top1= 10.3466


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9643 top1= 47.8566


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8092 top1= 45.5228

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.1246 top1= 96.0227

=== Log global consensus distance @ E6B0 ===
consensus_distance=384.717



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=32.842


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1212 top1= 96.3068

=== Log global consensus distance @ E6B10 ===
consensus_distance=431.801



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=34.336


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1035 top1= 97.4432

=== Log global consensus distance @ E6B20 ===
consensus_distance=531.831



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=35.903



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.0788 top1=  9.8958


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.7768 top1= 46.3141


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.2853 top1= 45.1623

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1340 top1= 95.1705

=== Log global consensus distance @ E7B0 ===
consensus_distance=651.179



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=37.299


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.1404 top1= 94.6023

=== Log global consensus distance @ E7B10 ===
consensus_distance=741.212



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=38.753


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1407 top1= 94.8864

=== Log global consensus distance @ E7B20 ===
consensus_distance=817.276



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=40.347



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.1394 top1=  9.7957


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.0315 top1= 46.8750


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.9537 top1= 44.7817

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1416 top1= 95.7386

=== Log global consensus distance @ E8B0 ===
consensus_distance=889.280



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=41.869


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1275 top1= 96.3068

=== Log global consensus distance @ E8B10 ===
consensus_distance=961.647



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=43.894


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1460 top1= 94.3182

=== Log global consensus distance @ E8B20 ===
consensus_distance=1035.480



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=45.236



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.2703 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.7151 top1= 45.9435


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5435 top1= 45.3526

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1778 top1= 94.3182

=== Log global consensus distance @ E9B0 ===
consensus_distance=1111.585



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=46.501


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.1361 top1= 94.8864

=== Log global consensus distance @ E9B10 ===
consensus_distance=1190.409



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=48.113


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.1089 top1= 96.0227

=== Log global consensus distance @ E9B20 ===
consensus_distance=1272.008



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=49.924



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.5182 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2753 top1= 43.6098


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8982 top1= 43.8702

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.1886 top1= 94.6023

=== Log global consensus distance @ E10B0 ===
consensus_distance=1356.121



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=51.565


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1348 top1= 95.7386

=== Log global consensus distance @ E10B10 ===
consensus_distance=1443.058



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=53.759


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0985 top1= 97.4432

=== Log global consensus distance @ E10B20 ===
consensus_distance=1532.785



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=55.773



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.8640 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1371 top1= 45.5329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1464 top1= 45.5128

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.1318 top1= 95.4545

=== Log global consensus distance @ E11B0 ===
consensus_distance=1624.789



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=56.975


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0965 top1= 96.5909

=== Log global consensus distance @ E11B10 ===
consensus_distance=1719.437



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=58.138


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.1209 top1= 96.5909

=== Log global consensus distance @ E11B20 ===
consensus_distance=1816.842



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=59.521



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.2936 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8053 top1= 44.8718


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.2130 top1= 45.3025

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0965 top1= 96.5909

=== Log global consensus distance @ E12B0 ===
consensus_distance=1916.845



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=60.688


[E12B10 |   4224/60000 (  7%) ] Loss: 0.1269 top1= 95.1705

=== Log global consensus distance @ E12B10 ===
consensus_distance=2019.501



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=61.872


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0850 top1= 97.1591

=== Log global consensus distance @ E12B20 ===
consensus_distance=2124.863



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=63.192



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.8817 top1=  9.7756


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2021 top1= 45.3125


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.0480 top1= 45.7732

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0940 top1= 96.0227

=== Log global consensus distance @ E13B0 ===
consensus_distance=2233.243



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=64.732


[E13B10 |   4224/60000 (  7%) ] Loss: 0.1115 top1= 96.5909

=== Log global consensus distance @ E13B10 ===
consensus_distance=2344.044



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=66.246


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0847 top1= 97.1591

=== Log global consensus distance @ E13B20 ===
consensus_distance=2457.630



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=67.940



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.3250 top1=  9.7556


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3100 top1= 46.2440


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.1299 top1= 45.9335

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0999 top1= 95.7386

=== Log global consensus distance @ E14B0 ===
consensus_distance=2573.700



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=69.240


[E14B10 |   4224/60000 (  7%) ] Loss: 0.1401 top1= 94.6023

=== Log global consensus distance @ E14B10 ===
consensus_distance=2692.579



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=71.090


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.1295 top1= 95.1705

=== Log global consensus distance @ E14B20 ===
consensus_distance=2814.274



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=73.378



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.1130 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.8905 top1= 46.3842


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.5273 top1= 43.7700

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.1268 top1= 95.4545

=== Log global consensus distance @ E15B0 ===
consensus_distance=2938.700



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=75.227


[E15B10 |   4224/60000 (  7%) ] Loss: 0.1013 top1= 95.4545

=== Log global consensus distance @ E15B10 ===
consensus_distance=3065.754



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=76.922


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0851 top1= 97.1591

=== Log global consensus distance @ E15B20 ===
consensus_distance=3195.110



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=78.141



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.7821 top1=  9.7656


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1014 top1= 46.5645


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1363 top1= 45.5729

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.1078 top1= 95.4545

=== Log global consensus distance @ E16B0 ===
consensus_distance=3327.271



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=79.479


[E16B10 |   4224/60000 (  7%) ] Loss: 0.1424 top1= 94.0341

=== Log global consensus distance @ E16B10 ===
consensus_distance=3461.920



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=80.861


[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0979 top1= 96.8750

=== Log global consensus distance @ E16B20 ===
consensus_distance=3599.392



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=82.380



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=7.5978 top1=  9.7556


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.8813 top1= 45.4227


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.8907 top1= 45.2224

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.1315 top1= 95.1705

=== Log global consensus distance @ E17B0 ===
consensus_distance=3739.799



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=84.165


[E17B10 |   4224/60000 (  7%) ] Loss: 0.3856 top1= 85.7955

=== Log global consensus distance @ E17B10 ===
consensus_distance=3884.641



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=91.769


[E17B20 |   8064/60000 ( 13%) ] Loss: 0.2354 top1= 93.4659

=== Log global consensus distance @ E17B20 ===
consensus_distance=4031.787



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=98.379



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.6047 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3429 top1= 45.9435


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.7015 top1= 43.8602

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.2164 top1= 93.4659

=== Log global consensus distance @ E18B0 ===
consensus_distance=4180.557



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=101.593


[E18B10 |   4224/60000 (  7%) ] Loss: 0.1244 top1= 95.7386

=== Log global consensus distance @ E18B10 ===
consensus_distance=4331.604



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=103.625


[E18B20 |   8064/60000 ( 13%) ] Loss: 0.1372 top1= 96.0227

=== Log global consensus distance @ E18B20 ===
consensus_distance=4484.902



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=104.510



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=7.4465 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.3053 top1= 48.5777


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.9473 top1= 45.9535

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0980 top1= 96.8750

=== Log global consensus distance @ E19B0 ===
consensus_distance=4641.040



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=105.733


[E19B10 |   4224/60000 (  7%) ] Loss: 0.0979 top1= 96.5909

=== Log global consensus distance @ E19B10 ===
consensus_distance=4799.539



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=106.195


[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0975 top1= 96.3068

=== Log global consensus distance @ E19B20 ===
consensus_distance=4960.458



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=106.476



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8.8550 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9369 top1= 47.0052


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.1850 top1= 44.8618

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0838 top1= 97.4432

=== Log global consensus distance @ E20B0 ===
consensus_distance=5124.395



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=107.301


[E20B10 |   4224/60000 (  7%) ] Loss: 0.0833 top1= 97.1591

=== Log global consensus distance @ E20B10 ===
consensus_distance=5290.928



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=107.911


[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0818 top1= 98.0114

=== Log global consensus distance @ E20B20 ===
consensus_distance=5460.195



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=108.582



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.9493 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.1904 top1= 46.5545


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.8994 top1= 44.7216

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.2440 top1= 97.1591

=== Log global consensus distance @ E21B0 ===
consensus_distance=5632.495



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=109.511


[E21B10 |   4224/60000 (  7%) ] Loss: nan top1= 71.8750

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



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


[E21B20 |   8064/60000 ( 13%) ] Loss: nan top1= 62.2159

=== 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=8.0554 top1= 44.7416

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: nan top1= 64.4886

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



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


[E22B10 |   4224/60000 (  7%) ] Loss: nan top1= 56.8182

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



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


[E22B20 |   8064/60000 ( 13%) ] Loss: nan top1= 54.2614

=== 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=8.3621 top1= 45.4928

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E23B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.3977

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



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


[E23B20 |   8064/60000 ( 13%) ] Loss: nan top1= 54.8295

=== 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=8.7691 top1= 43.2192

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: nan top1= 57.1023

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



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


[E24B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.6818

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



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


[E24B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=8.0088 top1= 46.2039

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E25B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.1136

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



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


[E25B20 |   8064/60000 ( 13%) ] Loss: nan top1= 53.9773

=== 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=8.4992 top1= 45.1322

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: nan top1= 57.1023

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



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


[E26B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.6818

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



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


[E26B20 |   8064/60000 ( 13%) ] Loss: nan top1= 53.6932

=== 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=8.5988 top1= 46.0337

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: nan top1= 57.1023

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



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


[E27B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.3977

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



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


[E27B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=9.0794 top1= 46.4543

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E28B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.6818

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



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


[E28B20 |   8064/60000 ( 13%) ] Loss: nan top1= 54.8295

=== 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=8.9404 top1= 46.3942

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: nan top1= 57.1023

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



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


[E29B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.3977

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



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


[E29B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=9.3801 top1= 46.6747

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E30B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E30B20 |   8064/60000 ( 13%) ] Loss: nan top1= 54.8295

=== 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=10.6332 top1= 46.6546

Train epoch 31
[E31B0  |    384/60000 (  1%) ] Loss: nan top1= 57.1023

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



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


[E31B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E31B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=10.6889 top1= 46.7849

Train epoch 32
[E32B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E32B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E32B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=10.7812 top1= 46.7348

Train epoch 33
[E33B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E33B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E33B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=11.0875 top1= 46.7648

Train epoch 34
[E34B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E34B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E34B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=11.6560 top1= 46.8049

Train epoch 35
[E35B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E35B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E35B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=11.9167 top1= 46.8450

Train epoch 36
[E36B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E36B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E36B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=12.1944 top1= 46.8249

Train epoch 37
[E37B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E37B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E37B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=12.4628 top1= 46.7949

Train epoch 38
[E38B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E38B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E38B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=12.6820 top1= 46.8149

Train epoch 39
[E39B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E39B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E39B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=12.8887 top1= 46.8349

Train epoch 40
[E40B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

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



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


[E40B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

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



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


[E40B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== 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=13.0462 top1= 46.8249

Train epoch 41
[E41B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E41B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E41B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E41B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E41B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E41B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E41B20 ===
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=13.1950 top1= 46.8550

Train epoch 42
[E42B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E42B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E42B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E42B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E42B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E42B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E42B20 ===
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=13.3255 top1= 46.8450

Train epoch 43
[E43B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E43B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E43B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E43B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E43B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E43B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E43B20 ===
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=13.4814 top1= 46.8550

Train epoch 44
[E44B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E44B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E44B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E44B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E44B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E44B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E44B20 ===
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=13.6025 top1= 46.8550

Train epoch 45
[E45B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E45B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E45B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E45B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E45B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E45B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E45B20 ===
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=13.7115 top1= 46.8550

Train epoch 46
[E46B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E46B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E46B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E46B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E46B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E46B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E46B20 ===
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=13.8187 top1= 46.8450

Train epoch 47
[E47B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E47B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E47B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E47B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E47B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E47B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E47B20 ===
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=13.9149 top1= 46.8450

Train epoch 48
[E48B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E48B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E48B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E48B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E48B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E48B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E48B20 ===
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=13.9983 top1= 46.8450

Train epoch 49
[E49B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E49B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E49B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E49B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E49B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E49B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E49B20 ===
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=14.1102 top1= 46.8550

Train epoch 50
[E50B0  |    384/60000 (  1%) ] Loss: nan top1= 57.3864

=== Log global consensus distance @ E50B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E50B10 |   4224/60000 (  7%) ] Loss: nan top1= 55.9659

=== Log global consensus distance @ E50B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E50B20 |   8064/60000 ( 13%) ] Loss: nan top1= 55.1136

=== Log global consensus distance @ E50B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E50B20 ===
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=14.2005 top1= 46.8550

