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

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

Train epoch 1
[E 1B0  |    448/60000 (  1%) ] Loss: 2.3005 top1=  9.0909

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([9, 4, 6, 0, 0], device='cuda:0')
Worker 1 has targets: tensor([3, 0, 5, 1, 7], device='cuda:0')
Worker 2 has targets: tensor([5, 6, 5, 4, 9], device='cuda:0')
Worker 3 has targets: tensor([4, 8, 4, 4, 2], device='cuda:0')
Worker 4 has targets: tensor([7, 9, 7, 0, 6], device='cuda:0')
Worker 5 has targets: tensor([4, 9, 4, 0, 8], device='cuda:0')
Worker 6 has targets: tensor([9, 3, 1, 7, 7], device='cuda:0')
Worker 7 has targets: tensor([6, 1, 8, 0, 7], device='cuda:0')
Worker 8 has targets: tensor([8, 3, 7, 6, 2], device='cuda:0')
Worker 9 has targets: tensor([8, 2, 3, 7, 8], device='cuda:0')
Worker 10 has targets: tensor([7, 5, 3, 8, 8], device='cuda:0')
Worker 11 has targets: tensor([4, 0, 5, 9, 5], device='cuda:0')
Worker 12 has targets: tensor([8, 2, 1, 2, 7], device='cuda:0')
Worker 13 has targets: tensor([9, 1, 6, 1, 1], device='cuda:0')



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



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


[E 1B10 |   4928/60000 (  8%) ] Loss: 2.2515 top1= 23.0114

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.001



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


[E 1B20 |   9408/60000 ( 16%) ] Loss: 2.1643 top1= 36.6477

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.013



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.001
clique2_consensus_distance=0.003



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.0740 top1= 38.0809


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0439 top1= 64.2428


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0380 top1= 58.3433

Train epoch 2
[E 2B0  |    448/60000 (  1%) ] Loss: 2.0238 top1= 42.8977

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.136



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.006
clique2_consensus_distance=0.011


[E 2B10 |   4928/60000 (  8%) ] Loss: 1.8754 top1= 42.3295

=== Log global consensus distance @ E2B10 ===
consensus_distance=1.312



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.058
clique2_consensus_distance=0.066


[E 2B20 |   9408/60000 ( 16%) ] Loss: 1.7861 top1= 44.0341

=== Log global consensus distance @ E2B20 ===
consensus_distance=12.091



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.531
clique2_consensus_distance=0.544



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.9955 top1= 59.2648


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9796 top1= 69.4111


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9687 top1= 69.6514

Train epoch 3
[E 3B0  |    448/60000 (  1%) ] Loss: 3.1430 top1= 45.1705

=== Log global consensus distance @ E3B0 ===
consensus_distance=96.084



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=2.559
clique2_consensus_distance=2.576


[E 3B10 |   4928/60000 (  8%) ] Loss: 4.3792 top1= 50.8523

=== Log global consensus distance @ E3B10 ===
consensus_distance=303.236



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.591


[E 3B20 |   9408/60000 ( 16%) ] Loss: 3.8467 top1= 57.9545

=== Log global consensus distance @ E3B20 ===
consensus_distance=628.948



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.616



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7205 top1= 52.8446


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7485 top1= 75.5609


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7602 top1= 74.4992

Train epoch 4
[E 4B0  |    448/60000 (  1%) ] Loss: 2.3135 top1= 53.1250

=== Log global consensus distance @ E4B0 ===
consensus_distance=1073.436



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.653


[E 4B10 |   4928/60000 (  8%) ] Loss: 7.1890 top1= 59.6591

=== Log global consensus distance @ E4B10 ===
consensus_distance=1637.897



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.701


[E 4B20 |   9408/60000 ( 16%) ] Loss: 5.0795 top1= 58.2386

=== Log global consensus distance @ E4B20 ===
consensus_distance=2324.256



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.751



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.9771 top1= 17.3077


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8906 top1= 71.8550


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9005 top1= 70.7833

Train epoch 5
[E 5B0  |    448/60000 (  1%) ] Loss: 3.7783 top1= 51.7045

=== Log global consensus distance @ E5B0 ===
consensus_distance=3130.048



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.795


[E 5B10 |   4928/60000 (  8%) ] Loss: 2.3900 top1= 56.5341

=== Log global consensus distance @ E5B10 ===
consensus_distance=4055.023



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.832


[E 5B20 |   9408/60000 ( 16%) ] Loss: 1.7214 top1= 55.6818

=== Log global consensus distance @ E5B20 ===
consensus_distance=5098.033



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.869



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.9757 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0565 top1= 69.3610


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9663 top1= 71.8950

Train epoch 6
[E 6B0  |    448/60000 (  1%) ] Loss: 1.8922 top1= 49.1477

=== Log global consensus distance @ E6B0 ===
consensus_distance=6259.267



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.903


[E 6B10 |   4928/60000 (  8%) ] Loss: 1.8241 top1= 51.4205

=== Log global consensus distance @ E6B10 ===
consensus_distance=7537.583



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.940


[E 6B20 |   9408/60000 ( 16%) ] Loss: 1.8272 top1= 48.5795

=== Log global consensus distance @ E6B20 ===
consensus_distance=8933.255



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=2.987



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.3635 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1873 top1= 63.2812


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3923 top1= 57.9728

Train epoch 7
[E 7B0  |    448/60000 (  1%) ] Loss: 2.0399 top1= 43.7500

=== Log global consensus distance @ E7B0 ===
consensus_distance=10445.625



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.041


[E 7B10 |   4928/60000 (  8%) ] Loss: 2.0348 top1= 48.5795

=== Log global consensus distance @ E7B10 ===
consensus_distance=12074.680



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.115


[E 7B20 |   9408/60000 ( 16%) ] Loss: 1.9178 top1= 47.4432

=== Log global consensus distance @ E7B20 ===
consensus_distance=13820.633



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.182



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.8476 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3659 top1= 58.2833


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5665 top1= 53.7059

Train epoch 8
[E 8B0  |    448/60000 (  1%) ] Loss: 2.2289 top1= 42.0455

=== Log global consensus distance @ E8B0 ===
consensus_distance=15683.777



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.224


[E 8B10 |   4928/60000 (  8%) ] Loss: 2.4298 top1= 43.4659

=== Log global consensus distance @ E8B10 ===
consensus_distance=17664.494



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.269


[E 8B20 |   9408/60000 ( 16%) ] Loss: 2.0971 top1= 42.3295

=== Log global consensus distance @ E8B20 ===
consensus_distance=19762.555



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.341



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.0271 top1=  9.5753


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7208 top1= 43.7400


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8438 top1= 44.8017

Train epoch 9
[E 9B0  |    448/60000 (  1%) ] Loss: 2.4956 top1= 37.5000

=== Log global consensus distance @ E9B0 ===
consensus_distance=21977.895



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.429


[E 9B10 |   4928/60000 (  8%) ] Loss: 2.6268 top1= 40.9091

=== Log global consensus distance @ E9B10 ===
consensus_distance=24310.619



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.546


[E 9B20 |   9408/60000 ( 16%) ] Loss: 2.4049 top1= 40.6250

=== Log global consensus distance @ E9B20 ===
consensus_distance=26760.771



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.697



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.9480 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8812 top1= 40.5148


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0901 top1= 45.4527

Train epoch 10
[E10B0  |    448/60000 (  1%) ] Loss: 2.6585 top1= 37.5000

=== Log global consensus distance @ E10B0 ===
consensus_distance=29328.303



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=3.867


[E10B10 |   4928/60000 (  8%) ] Loss: 2.9444 top1= 40.9091

=== Log global consensus distance @ E10B10 ===
consensus_distance=32013.443



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=4.071


[E10B20 |   9408/60000 ( 16%) ] Loss: 2.5833 top1= 41.1932

=== Log global consensus distance @ E10B20 ===
consensus_distance=34816.039



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=4.284



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8.0269 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8627 top1= 41.4764


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0053 top1= 40.8454

Train epoch 11
[E11B0  |    448/60000 (  1%) ] Loss: 3.1216 top1= 35.7955

=== Log global consensus distance @ E11B0 ===
consensus_distance=37736.207



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=4.500


[E11B10 |   4928/60000 (  8%) ] Loss: 3.0371 top1= 36.6477

=== Log global consensus distance @ E11B10 ===
consensus_distance=40773.914



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=4.715


[E11B20 |   9408/60000 ( 16%) ] Loss: 2.9282 top1= 39.4886

=== Log global consensus distance @ E11B20 ===
consensus_distance=43929.156



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=4.993



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=8.7537 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7928 top1= 42.0473


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9664 top1= 42.0272

Train epoch 12
[E12B0  |    448/60000 (  1%) ] Loss: 3.2098 top1= 35.5114

=== Log global consensus distance @ E12B0 ===
consensus_distance=47201.957



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=5.286


[E12B10 |   4928/60000 (  8%) ] Loss: 3.5824 top1= 33.5227

=== Log global consensus distance @ E12B10 ===
consensus_distance=50592.238



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=5.556


[E12B20 |   9408/60000 ( 16%) ] Loss: 2.8220 top1= 41.7614

=== Log global consensus distance @ E12B20 ===
consensus_distance=54100.121



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=5.745



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.4696 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9803 top1= 36.3782


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.0151 top1= 40.2344

Train epoch 13
[E13B0  |    448/60000 (  1%) ] Loss: 3.2109 top1= 31.5341

=== Log global consensus distance @ E13B0 ===
consensus_distance=57725.707



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=2.560
clique2_consensus_distance=5.969


[E13B10 |   4928/60000 (  8%) ] Loss: 13194089.4475 top1= 37.2159

=== Log global consensus distance @ E13B10 ===
consensus_distance=7055513.500



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=1.875
clique2_consensus_distance=5.476


[E13B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E13B20 ===
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 14
[E14B0  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E14B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E14B20 |   9408/60000 ( 16%) ] Loss: nan top1=  9.6591

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



=== Log clique consensus distance @ E14B20 ===
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 15
[E15B0  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E15B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E15B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E16B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E16B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E17B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E17B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E18B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E18B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E19B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E19B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E20B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E20B20 |   9408/60000 ( 16%) ] 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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E21B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E21B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E22B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E22B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E23B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E23B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E24B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E24B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E25B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E25B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E26B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E26B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E27B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E27B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E28B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E28B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E29B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E29B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E30B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E30B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E31B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E31B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E32B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E32B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E33B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E33B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E34B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E34B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E35B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E35B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E36B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E36B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E37B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E37B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E38B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E38B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E39B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


[E39B20 |   9408/60000 ( 16%) ] Loss: nan top1=  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  |    448/60000 (  1%) ] Loss: nan top1=  7.9545

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



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


[E40B10 |   4928/60000 (  8%) ] Loss: nan top1= 10.5114

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



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


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

