
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.0)
=> Add worker SGDMWorker(index=1, momentum=0.0)
=> Add worker SGDMWorker(index=2, momentum=0.0)
=> Add worker SGDMWorker(index=3, momentum=0.0)
=> Add worker SGDMWorker(index=4, momentum=0.0)
=> Add worker SGDMWorker(index=5, momentum=0.0)
=> Add worker SGDMWorker(index=6, momentum=0.0)
=> Add worker SGDMWorker(index=7, momentum=0.0)
=> Add worker SGDMWorker(index=8, momentum=0.0)
=> Add worker SGDMWorker(index=9, momentum=0.0)
=> Add worker SGDMWorker(index=10, momentum=0.0)
=> Add worker ByzantineWorker(index=11)
=> Add worker ByzantineWorker(index=12)

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

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

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



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



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


[E 1B10 |   4576/60000 (  8%) ] Loss: 2.2960 top1= 11.6477

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



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


[E 1B20 |   8736/60000 ( 15%) ] Loss: 2.2861 top1= 11.6477

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



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



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2851 top1=  9.9559


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2806 top1= 12.3998


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2804 top1= 12.3197

Train epoch 2
[E 2B0  |    416/60000 (  1%) ] Loss: 2.2721 top1= 13.3523

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.003



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


[E 2B10 |   4576/60000 (  8%) ] Loss: 2.2711 top1= 14.2045

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.030



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.001


[E 2B20 |   8736/60000 ( 15%) ] Loss: 2.3071 top1= 15.6250

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.274



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.012
clique2_consensus_distance=0.012



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.4862 top1= 19.2608


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3522 top1= 19.2608


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3525 top1= 19.2608

Train epoch 3
[E 3B0  |    416/60000 (  1%) ] Loss: 2.3813 top1= 18.4659

=== Log global consensus distance @ E3B0 ===
consensus_distance=2.505



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.110
clique2_consensus_distance=0.110


[E 3B10 |   4576/60000 (  8%) ] Loss: 2.7200 top1= 18.7500

=== Log global consensus distance @ E3B10 ===
consensus_distance=12.836



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.638
clique2_consensus_distance=0.638


[E 3B20 |   8736/60000 ( 15%) ] Loss: 3.3338 top1= 22.7273

=== Log global consensus distance @ E3B20 ===
consensus_distance=20.439



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.640



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1294 top1= 33.2232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0168 top1= 38.2612


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0235 top1= 38.7520

Train epoch 4
[E 4B0  |    416/60000 (  1%) ] Loss: 3.0584 top1= 17.6136

=== Log global consensus distance @ E4B0 ===
consensus_distance=29.880



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.640


[E 4B10 |   4576/60000 (  8%) ] Loss: 2.9786 top1= 22.1591

=== Log global consensus distance @ E4B10 ===
consensus_distance=41.158



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.641


[E 4B20 |   8736/60000 ( 15%) ] Loss: 3.7728 top1= 24.7159

=== Log global consensus distance @ E4B20 ===
consensus_distance=54.267



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.641



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8578 top1= 41.1659


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5860 top1= 47.2756


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5942 top1= 47.0252

Train epoch 5
[E 5B0  |    416/60000 (  1%) ] Loss: 3.4891 top1= 25.0000

=== Log global consensus distance @ E5B0 ===
consensus_distance=69.213



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.642


[E 5B10 |   4576/60000 (  8%) ] Loss: 3.2688 top1= 30.9659

=== Log global consensus distance @ E5B10 ===
consensus_distance=85.995



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.643


[E 5B20 |   8736/60000 ( 15%) ] Loss: 4.0681 top1= 31.2500

=== Log global consensus distance @ E5B20 ===
consensus_distance=104.608



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.643



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7286 top1= 44.0505


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4158 top1= 51.2220


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4562 top1= 48.5076

Train epoch 6
[E 6B0  |    416/60000 (  1%) ] Loss: 3.4221 top1= 31.5341

=== Log global consensus distance @ E6B0 ===
consensus_distance=125.060



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.644


[E 6B10 |   4576/60000 (  8%) ] Loss: 3.5191 top1= 33.5227

=== Log global consensus distance @ E6B10 ===
consensus_distance=147.349



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.646


[E 6B20 |   8736/60000 ( 15%) ] Loss: 5.4861 top1= 32.1023

=== Log global consensus distance @ E6B20 ===
consensus_distance=171.472



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.647



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9040 top1= 48.5377


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3906 top1= 52.7945


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3871 top1= 52.5942

Train epoch 7
[E 7B0  |    416/60000 (  1%) ] Loss: 4.1135 top1= 34.9432

=== Log global consensus distance @ E7B0 ===
consensus_distance=197.344



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.648


[E 7B10 |   4576/60000 (  8%) ] Loss: 2.8806 top1= 36.6477

=== Log global consensus distance @ E7B10 ===
consensus_distance=225.135



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.649


[E 7B20 |   8736/60000 ( 15%) ] Loss: 3.7545 top1= 34.3750

=== Log global consensus distance @ E7B20 ===
consensus_distance=254.762



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.650



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8433 top1= 44.4311


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3693 top1= 55.5789


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3689 top1= 54.7676

Train epoch 8
[E 8B0  |    416/60000 (  1%) ] Loss: 3.3139 top1= 36.0795

=== Log global consensus distance @ E8B0 ===
consensus_distance=286.219



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.651


[E 8B10 |   4576/60000 (  8%) ] Loss: 2.7484 top1= 38.6364

=== Log global consensus distance @ E8B10 ===
consensus_distance=319.516



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.652


[E 8B20 |   8736/60000 ( 15%) ] Loss: 3.4625 top1= 35.7955

=== Log global consensus distance @ E8B20 ===
consensus_distance=354.653



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.654



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6833 top1= 52.9647


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3968 top1= 53.9163


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4165 top1= 53.3554

Train epoch 9
[E 9B0  |    416/60000 (  1%) ] Loss: 3.9506 top1= 38.3523

=== Log global consensus distance @ E9B0 ===
consensus_distance=391.623



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.655


[E 9B10 |   4576/60000 (  8%) ] Loss: 2.6758 top1= 39.2045

=== Log global consensus distance @ E9B10 ===
consensus_distance=430.430



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.656


[E 9B20 |   8736/60000 ( 15%) ] Loss: 3.4391 top1= 36.0795

=== Log global consensus distance @ E9B20 ===
consensus_distance=471.074



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.657



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.6830 top1= 51.9832


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4414 top1= 50.4808


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4452 top1= 52.7544

Train epoch 10
[E10B0  |    416/60000 (  1%) ] Loss: 3.3209 top1= 40.0568

=== Log global consensus distance @ E10B0 ===
consensus_distance=513.551



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.659


[E10B10 |   4576/60000 (  8%) ] Loss: 2.6945 top1= 38.6364

=== Log global consensus distance @ E10B10 ===
consensus_distance=557.872



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.660


[E10B20 |   8736/60000 ( 15%) ] Loss: 3.5210 top1= 38.6364

=== Log global consensus distance @ E10B20 ===
consensus_distance=604.027



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.660



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.8527 top1= 50.0801


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5108 top1= 48.9683


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4744 top1= 52.6643

Train epoch 11
[E11B0  |    416/60000 (  1%) ] Loss: 3.1995 top1= 40.6250

=== Log global consensus distance @ E11B0 ===
consensus_distance=652.012



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.662


[E11B10 |   4576/60000 (  8%) ] Loss: 2.7214 top1= 38.9205

=== Log global consensus distance @ E11B10 ===
consensus_distance=701.842



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.664


[E11B20 |   8736/60000 ( 15%) ] Loss: 3.7055 top1= 41.7614

=== Log global consensus distance @ E11B20 ===
consensus_distance=753.503



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.664



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7646 top1= 52.0232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5064 top1= 49.8097


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4732 top1= 52.0833

Train epoch 12
[E12B0  |    416/60000 (  1%) ] Loss: 3.7733 top1= 40.6250

=== Log global consensus distance @ E12B0 ===
consensus_distance=806.998



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.666


[E12B10 |   4576/60000 (  8%) ] Loss: 2.9759 top1= 39.2045

=== Log global consensus distance @ E12B10 ===
consensus_distance=862.335



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.668


[E12B20 |   8736/60000 ( 15%) ] Loss: 3.7649 top1= 40.9091

=== Log global consensus distance @ E12B20 ===
consensus_distance=919.505



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.668



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7604 top1= 52.4139


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4644 top1= 53.0248


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4413 top1= 53.2853

Train epoch 13
[E13B0  |    416/60000 (  1%) ] Loss: 3.3710 top1= 43.7500

=== Log global consensus distance @ E13B0 ===
consensus_distance=978.510



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.671


[E13B10 |   4576/60000 (  8%) ] Loss: 2.9735 top1= 40.6250

=== Log global consensus distance @ E13B10 ===
consensus_distance=1039.354



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.672


[E13B20 |   8736/60000 ( 15%) ] Loss: 3.9780 top1= 42.3295

=== Log global consensus distance @ E13B20 ===
consensus_distance=1102.032



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.673



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9421 top1= 49.3990


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4196 top1= 55.2083


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4015 top1= 55.3085

Train epoch 14
[E14B0  |    416/60000 (  1%) ] Loss: 3.5748 top1= 43.1818

=== Log global consensus distance @ E14B0 ===
consensus_distance=1166.536



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.676


[E14B10 |   4576/60000 (  8%) ] Loss: 3.0342 top1= 40.6250

=== Log global consensus distance @ E14B10 ===
consensus_distance=1232.885



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.678


[E14B20 |   8736/60000 ( 15%) ] Loss: 242301.7666 top1= 36.0795

=== Log global consensus distance @ E14B20 ===
consensus_distance=57339.898



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.481
clique2_consensus_distance=0.521



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


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


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

Train epoch 15
[E15B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E15B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E15B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 16
[E16B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E16B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E16B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 17
[E17B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E17B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E17B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 18
[E18B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E18B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E18B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 19
[E19B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E19B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E19B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 20
[E20B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E20B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E20B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 21
[E21B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E21B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E21B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 22
[E22B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E22B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E22B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 23
[E23B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E23B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E23B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 24
[E24B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E24B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E24B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 25
[E25B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E25B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E25B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 26
[E26B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E26B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E26B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 27
[E27B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E27B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E27B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 28
[E28B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E28B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E28B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 29
[E29B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E29B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E29B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 30
[E30B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E30B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E30B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 31
[E31B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E31B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E31B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



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


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


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

Train epoch 32
[E32B0  |    416/60000 (  1%) ] Loss: nan top1=  7.3864

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



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


[E32B10 |   4576/60000 (  8%) ] Loss: nan top1=  9.9432

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



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


[E32B20 |   8736/60000 ( 15%) ] Loss: nan top1=  9.6591

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

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

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



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


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

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



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


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

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



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



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


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


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

