
=== 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 0.042 0.625]
 [0.    0.    0.    0.    0.    0.    0.    0.    0.    0.    0.625 0.375]]


[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: 11.7733 top1= 87.2159

=== Log global consensus distance @ E1B20 ===
consensus_distance=14.831



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.067
clique2_consensus_distance=5.837



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.6801 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4605 top1= 39.9038


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.5626 top1= 39.6234

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1880 top1= 94.6023

=== Log global consensus distance @ E2B0 ===
consensus_distance=78.172



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.076
clique2_consensus_distance=9.135


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.1949 top1= 94.0341

=== Log global consensus distance @ E2B10 ===
consensus_distance=170.415



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.077
clique2_consensus_distance=11.514


[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1997 top1= 94.8864

=== Log global consensus distance @ E2B20 ===
consensus_distance=265.382



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.078
clique2_consensus_distance=13.277



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.3975 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.7864 top1= 44.3510


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.4818 top1= 44.2508

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1620 top1= 94.8864

=== Log global consensus distance @ E3B0 ===
consensus_distance=366.163



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.078
clique2_consensus_distance=14.928


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1632 top1= 95.1705

=== Log global consensus distance @ E3B10 ===
consensus_distance=476.836



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.078
clique2_consensus_distance=16.570


[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.1548 top1= 94.6023

=== Log global consensus distance @ E3B20 ===
consensus_distance=599.411



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=18.103



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.5148 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.6056 top1= 48.1671


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.7874 top1= 44.3810

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.1535 top1= 96.0227

=== Log global consensus distance @ E4B0 ===
consensus_distance=734.828



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=19.604


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.1792 top1= 94.6023

=== Log global consensus distance @ E4B10 ===
consensus_distance=883.621



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=21.165


[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.1403 top1= 94.8864

=== Log global consensus distance @ E4B20 ===
consensus_distance=1045.878



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=22.664



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.6339 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3688 top1= 48.3674


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.5667 top1= 44.9219

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.1344 top1= 95.4545

=== Log global consensus distance @ E5B0 ===
consensus_distance=1222.423



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=24.344


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.1529 top1= 95.4545

=== Log global consensus distance @ E5B10 ===
consensus_distance=1412.356



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=26.162


[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.1433 top1= 94.3182

=== Log global consensus distance @ E5B20 ===
consensus_distance=1615.341



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=27.604



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.6751 top1=  9.7256


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1521 top1= 47.3157


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.4599 top1= 42.4179

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.2632 top1= 92.8977

=== Log global consensus distance @ E6B0 ===
consensus_distance=1832.023



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=29.393


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.1277 top1= 95.1705

=== Log global consensus distance @ E6B10 ===
consensus_distance=2062.432



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=31.520


[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.1237 top1= 96.0227

=== Log global consensus distance @ E6B20 ===
consensus_distance=2306.078



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=33.112



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.9622 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.3249 top1= 45.4728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.3381 top1= 44.3710

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.1663 top1= 94.0341

=== Log global consensus distance @ E7B0 ===
consensus_distance=2562.965



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=34.225


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.2961 top1= 91.1932

=== Log global consensus distance @ E7B10 ===
consensus_distance=2833.400



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=35.428


[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.1709 top1= 93.7500

=== Log global consensus distance @ E7B20 ===
consensus_distance=3117.642



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=37.190



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.4116 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2231 top1= 47.5361


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.2860 top1= 43.0889

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.1832 top1= 94.8864

=== Log global consensus distance @ E8B0 ===
consensus_distance=3415.334



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=38.829


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.1235 top1= 95.1705

=== Log global consensus distance @ E8B10 ===
consensus_distance=3726.748



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=40.558


[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.1930 top1= 94.6023

=== Log global consensus distance @ E8B20 ===
consensus_distance=4051.488



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=42.066



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.5788 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2226 top1= 46.1739


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.0089 top1= 44.7516

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.1919 top1= 94.0341

=== Log global consensus distance @ E9B0 ===
consensus_distance=4389.714



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=43.402


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0954 top1= 96.5909

=== Log global consensus distance @ E9B10 ===
consensus_distance=4741.599



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=44.803


[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0910 top1= 97.1591

=== Log global consensus distance @ E9B20 ===
consensus_distance=5107.024



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=46.262



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.2490 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1608 top1= 48.0268


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.9370 top1= 44.7917

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0960 top1= 96.3068

=== Log global consensus distance @ E10B0 ===
consensus_distance=5485.721



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=47.317


[E10B10 |   4224/60000 (  7%) ] Loss: 0.1717 top1= 94.8864

=== Log global consensus distance @ E10B10 ===
consensus_distance=5878.075



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=48.538


[E10B20 |   8064/60000 ( 13%) ] Loss: 0.1845 top1= 94.8864

=== Log global consensus distance @ E10B20 ===
consensus_distance=6284.006



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=49.832



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.7776 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.1785 top1= 47.1254


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.8181 top1= 44.9419

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.1615 top1= 94.6023

=== Log global consensus distance @ E11B0 ===
consensus_distance=6703.348



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=50.966


[E11B10 |   4224/60000 (  7%) ] Loss: 0.1304 top1= 95.1705

=== Log global consensus distance @ E11B10 ===
consensus_distance=7136.424



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=52.413


[E11B20 |   8064/60000 ( 13%) ] Loss: 0.1598 top1= 94.6023

=== Log global consensus distance @ E11B20 ===
consensus_distance=7582.978



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=53.755



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.8019 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3002 top1= 45.8834


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.8666 top1= 44.6615

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.1498 top1= 94.3182

=== Log global consensus distance @ E12B0 ===
consensus_distance=8043.091



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=55.032


[E12B10 |   4224/60000 (  7%) ] Loss: 0.1155 top1= 96.0227

=== Log global consensus distance @ E12B10 ===
consensus_distance=8516.608



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=56.053


[E12B20 |   8064/60000 ( 13%) ] Loss: 0.1341 top1= 95.4545

=== Log global consensus distance @ E12B20 ===
consensus_distance=9003.764



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=57.369



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.4773 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.9891 top1= 44.6214


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.1881 top1= 45.7933

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0937 top1= 96.5909

=== Log global consensus distance @ E13B0 ===
consensus_distance=9504.333



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=58.514


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0958 top1= 96.0227

=== Log global consensus distance @ E13B10 ===
consensus_distance=10018.482



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=59.651


[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0986 top1= 95.4545

=== Log global consensus distance @ E13B20 ===
consensus_distance=10546.093



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=60.741



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.2571 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.2068 top1= 46.5144


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=14.2914 top1= 44.6114

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0857 top1= 96.8750

=== Log global consensus distance @ E14B0 ===
consensus_distance=11087.474



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=62.307


[E14B10 |   4224/60000 (  7%) ] Loss: 0.2081 top1= 92.3295

=== Log global consensus distance @ E14B10 ===
consensus_distance=11642.600



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=64.265


[E14B20 |   8064/60000 ( 13%) ] Loss: 0.1824 top1= 94.6023

=== Log global consensus distance @ E14B20 ===
consensus_distance=12211.443



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=66.500



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.1480 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.1388 top1= 45.5329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=19.0391 top1= 45.6931

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.2422 top1= 93.1818

=== Log global consensus distance @ E15B0 ===
consensus_distance=12793.602



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.080
clique2_consensus_distance=68.550


[E15B10 |   4224/60000 (  7%) ] Loss: 0.1332 top1= 94.6023

=== Log global consensus distance @ E15B10 ===
consensus_distance=13389.568



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=70.715


[E15B20 |   8064/60000 ( 13%) ] Loss: 0.2279 top1= 94.0341

=== Log global consensus distance @ E15B20 ===
consensus_distance=13998.580



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=72.247



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.8823 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9469 top1= 45.6430


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=13.9580 top1= 45.7732

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.1487 top1= 95.1705

=== Log global consensus distance @ E16B0 ===
consensus_distance=14621.181



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=73.775


[E16B10 |   4224/60000 (  7%) ] Loss: 0.3016 top1= 91.1932

=== Log global consensus distance @ E16B10 ===
consensus_distance=15257.323



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=75.536


[E16B20 |   8064/60000 ( 13%) ] Loss: 0.3088 top1= 91.7614

=== Log global consensus distance @ E16B20 ===
consensus_distance=15907.459



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=79.794



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.8294 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.7820 top1= 44.8918


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=6.7832 top1= 43.3293

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.2779 top1= 92.6136

=== Log global consensus distance @ E17B0 ===
consensus_distance=16571.293



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=83.761


[E17B10 |   4224/60000 (  7%) ] Loss: 0.2794 top1= 90.9091

=== Log global consensus distance @ E17B10 ===
consensus_distance=17248.277



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=86.052


[E17B20 |   8064/60000 ( 13%) ] Loss: 0.2816 top1= 90.9091

=== Log global consensus distance @ E17B20 ===
consensus_distance=17938.816



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=87.763



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.0460 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.9175 top1= 42.4079


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.2870 top1= 44.4912

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.2100 top1= 92.0455

=== Log global consensus distance @ E18B0 ===
consensus_distance=18642.691



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=89.165


[E18B10 |   4224/60000 (  7%) ] Loss: 0.2188 top1= 92.0455

=== Log global consensus distance @ E18B10 ===
consensus_distance=19360.129



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=90.517


[E18B20 |   8064/60000 ( 13%) ] Loss: 0.1843 top1= 94.6023

=== Log global consensus distance @ E18B20 ===
consensus_distance=20090.703



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=91.323



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.2305 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2625 top1= 42.6382


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1019 top1= 45.1322

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.1589 top1= 95.4545

=== Log global consensus distance @ E19B0 ===
consensus_distance=20834.910



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=91.949


[E19B10 |   4224/60000 (  7%) ] Loss: 0.1956 top1= 93.1818

=== Log global consensus distance @ E19B10 ===
consensus_distance=21592.939



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=93.319


[E19B20 |   8064/60000 ( 13%) ] Loss: 0.1832 top1= 94.3182

=== Log global consensus distance @ E19B20 ===
consensus_distance=22364.172



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=94.036



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.4708 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.2283 top1= 45.6030


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.1387 top1= 45.2724

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.1419 top1= 96.3068

=== Log global consensus distance @ E20B0 ===
consensus_distance=23149.162



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=95.013


[E20B10 |   4224/60000 (  7%) ] Loss: 0.1959 top1= 93.4659

=== Log global consensus distance @ E20B10 ===
consensus_distance=23947.617



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=95.917


[E20B20 |   8064/60000 ( 13%) ] Loss: 0.1568 top1= 94.0341

=== Log global consensus distance @ E20B20 ===
consensus_distance=24759.648



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=97.027



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.7183 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=8.1434 top1= 43.3393


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.7065 top1= 44.4211

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0949 top1= 96.3068

=== Log global consensus distance @ E21B0 ===
consensus_distance=25585.225



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=98.641


[E21B10 |   4224/60000 (  7%) ] Loss: 0.1645 top1= 95.1705

=== Log global consensus distance @ E21B10 ===
consensus_distance=26424.338



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=99.766


[E21B20 |   8064/60000 ( 13%) ] Loss: 0.2694 top1= 94.0341

=== Log global consensus distance @ E21B20 ===
consensus_distance=27276.740



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=100.730



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.9944 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=7.4483 top1= 47.3357


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=11.3670 top1= 45.0621

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.1105 top1= 95.7386

=== Log global consensus distance @ E22B0 ===
consensus_distance=28142.861



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=101.823


[E22B10 |   4224/60000 (  7%) ] Loss: 0.1773 top1= 93.7500

=== Log global consensus distance @ E22B10 ===
consensus_distance=29022.896



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=103.337


[E22B20 |   8064/60000 ( 13%) ] Loss: 0.2014 top1= 95.4545

=== Log global consensus distance @ E22B20 ===
consensus_distance=29915.916



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=104.364



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.2244 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.4994 top1= 44.8618


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=10.1264 top1= 45.3225

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.1879 top1= 94.3182

=== Log global consensus distance @ E23B0 ===
consensus_distance=30822.416



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=105.211


[E23B10 |   4224/60000 (  7%) ] Loss: 0.1585 top1= 95.1705

=== Log global consensus distance @ E23B10 ===
consensus_distance=31742.598



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=106.181


[E23B20 |   8064/60000 ( 13%) ] Loss: 0.1192 top1= 97.1591

=== Log global consensus distance @ E23B20 ===
consensus_distance=32675.969



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=106.953



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.4659 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.4453 top1= 47.6162


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.8893 top1= 46.1538

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.1152 top1= 96.5909

=== Log global consensus distance @ E24B0 ===
consensus_distance=33623.105



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=107.984


[E24B10 |   4224/60000 (  7%) ] Loss: 0.1258 top1= 95.4545

=== Log global consensus distance @ E24B10 ===
consensus_distance=34584.234



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=109.487


[E24B20 |   8064/60000 ( 13%) ] Loss: 0.1402 top1= 96.0227

=== Log global consensus distance @ E24B20 ===
consensus_distance=35557.914



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=110.311



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.7080 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.0173 top1= 43.1791


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=8.9228 top1= 46.2440

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.1258 top1= 95.4545

=== Log global consensus distance @ E25B0 ===
consensus_distance=36545.957



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=112.201


[E25B10 |   4224/60000 (  7%) ] Loss: 0.1692 top1= 94.6023

=== Log global consensus distance @ E25B10 ===
consensus_distance=37548.270



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=114.641


[E25B20 |   8064/60000 ( 13%) ] Loss: 0.2922 top1= 93.4659

=== Log global consensus distance @ E25B20 ===
consensus_distance=38562.863



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=0.079
clique2_consensus_distance=115.168



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.9944 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=10.9110 top1= 43.5597


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=9.3355 top1= 46.3642

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.1920 top1= 96.5909

=== Log global consensus distance @ E26B0 ===
consensus_distance=39591.426



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=0.080
clique2_consensus_distance=116.823


[E26B10 |   4224/60000 (  7%) ] Loss: 186.0741 top1= 86.9318

=== Log global consensus distance @ E26B10 ===
consensus_distance=40930.020



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=571.453
clique2_consensus_distance=301.062


[E26B20 |   8064/60000 ( 13%) ] Loss: nan top1= 68.1818

=== 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=12.9640 top1= 46.3041

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: nan top1= 64.7727

=== 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= 63.0682

=== 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= 59.0909

=== 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=12.3927 top1= 46.2841

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: nan top1= 62.2159

=== 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= 53.6932

=== 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= 51.9886

=== 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=10.5869 top1= 44.8417

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: nan top1= 53.1250

=== 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= 51.1364

=== 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= 51.1364

=== 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=7.4046 top1= 45.3826

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: nan top1= 62.5000

=== 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= 61.9318

=== 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= 68.7500

=== 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=13.9868 top1= 45.3726

Train epoch 31
[E31B0  |    384/60000 (  1%) ] Loss: nan top1= 71.8750

=== 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= 69.8864

=== 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= 70.7386

=== 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=12.4216 top1= 45.9936

Train epoch 32
[E32B0  |    384/60000 (  1%) ] Loss: nan top1= 71.3068

=== 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= 72.1591

=== 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= 71.5909

=== 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=15.3681 top1= 46.1538

Train epoch 33
[E33B0  |    384/60000 (  1%) ] Loss: nan top1= 73.8636

=== 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= 71.0227

=== 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= 67.6136

=== 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=17.0348 top1= 46.1639

Train epoch 34
[E34B0  |    384/60000 (  1%) ] Loss: nan top1= 72.7273

=== 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= 71.8750

=== 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= 52.5568

=== 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=13.8616 top1= 35.1262

Train epoch 35
[E35B0  |    384/60000 (  1%) ] Loss: nan top1= 52.5568

=== 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= 47.1591

=== 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= 46.8750

=== 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=4.9664 top1= 15.7151

Train epoch 36
[E36B0  |    384/60000 (  1%) ] Loss: nan top1= 38.9205

=== 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= 39.7727

=== 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= 31.8182

=== 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=4.0192 top1=  9.7456

Train epoch 37
[E37B0  |    384/60000 (  1%) ] Loss: nan top1= 32.1023

=== 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= 32.6705

=== 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= 26.1364

=== 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=3.2974 top1=  9.7456

Train epoch 38
[E38B0  |    384/60000 (  1%) ] Loss: nan top1= 32.1023

=== 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= 32.6705

=== 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= 26.1364

=== 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=3.0304 top1=  9.7456

Train epoch 39
[E39B0  |    384/60000 (  1%) ] Loss: nan top1= 31.8182

=== 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= 32.6705

=== 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= 26.1364

=== 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=3.0032 top1=  9.7456

Train epoch 40
[E40B0  |    384/60000 (  1%) ] Loss: nan top1= 31.8182

=== 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= 38.6364

=== 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= 34.6591

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



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



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


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


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.0375 top1=  9.5753

Train epoch 41
[E41B0  |    384/60000 (  1%) ] Loss: nan top1= 40.0568

=== 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= 38.6364

=== 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= 34.6591

=== 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=3.0899 top1=  9.5753

Train epoch 42
[E42B0  |    384/60000 (  1%) ] Loss: nan top1= 40.0568

=== 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= 38.6364

=== 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= 34.6591

=== 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=3.1464 top1=  9.5753

Train epoch 43
[E43B0  |    384/60000 (  1%) ] Loss: nan top1= 40.0568

=== 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= 38.6364

=== 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= 26.9886

=== 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=3.2027 top1=  9.5753

Train epoch 44
[E44B0  |    384/60000 (  1%) ] Loss: nan top1= 39.2045

=== 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= 33.2386

=== 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= 26.7045

=== 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=3.2580 top1= 10.2865

Train epoch 45
[E45B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.3063 top1= 10.2865

Train epoch 46
[E46B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.3481 top1= 10.2865

Train epoch 47
[E47B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.3847 top1= 10.2865

Train epoch 48
[E48B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.4172 top1= 10.2865

Train epoch 49
[E49B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.4465 top1= 10.2865

Train epoch 50
[E50B0  |    384/60000 (  1%) ] Loss: nan top1= 32.9545

=== 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= 33.2386

=== 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= 31.8182

=== 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=3.4731 top1= 10.2865

