
=== 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)
=> 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: 2.2561 top1= 21.0227

=== 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: 2.1958 top1= 31.8182

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.009



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1403 top1= 29.4772


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.1229 top1= 58.4635


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1179 top1= 51.9732

Train epoch 2
[E 2B0  |    448/60000 (  1%) ] Loss: 2.1032 top1= 36.0795

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.083



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.004
clique2_consensus_distance=0.006


[E 2B10 |   4928/60000 (  8%) ] Loss: 2.0256 top1= 40.9091

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.785



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.034
clique2_consensus_distance=0.038


[E 2B20 |   9408/60000 ( 16%) ] Loss: 1.9371 top1= 38.9205

=== Log global consensus distance @ E2B20 ===
consensus_distance=7.196



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.316
clique2_consensus_distance=0.321



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2401 top1= 62.9307


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2819 top1= 65.2444


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2724 top1= 65.8954

Train epoch 3
[E 3B0  |    448/60000 (  1%) ] Loss: 2.3955 top1= 38.9205

=== Log global consensus distance @ E3B0 ===
consensus_distance=40.779



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.646


[E 3B10 |   4928/60000 (  8%) ] Loss: 2.4818 top1= 50.0000

=== Log global consensus distance @ E3B10 ===
consensus_distance=103.957



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.650


[E 3B20 |   9408/60000 ( 16%) ] Loss: 1.4298 top1= 61.6477

=== Log global consensus distance @ E3B20 ===
consensus_distance=196.437



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.657



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9723 top1= 70.9034


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7706 top1= 75.4607


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7503 top1= 76.0116

Train epoch 4
[E 4B0  |    448/60000 (  1%) ] Loss: 1.3491 top1= 57.3864

=== Log global consensus distance @ E4B0 ===
consensus_distance=318.366



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.667


[E 4B10 |   4928/60000 (  8%) ] Loss: 1.3032 top1= 65.9091

=== Log global consensus distance @ E4B10 ===
consensus_distance=469.690



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.681


[E 4B20 |   9408/60000 ( 16%) ] Loss: 1.1880 top1= 68.4659

=== Log global consensus distance @ E4B20 ===
consensus_distance=650.372



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.697



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.2922 top1= 72.6963


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6364 top1= 79.8978


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6243 top1= 80.1783

Train epoch 5
[E 5B0  |    448/60000 (  1%) ] Loss: 1.7047 top1= 63.3523

=== Log global consensus distance @ E5B0 ===
consensus_distance=860.430



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.719


[E 5B10 |   4928/60000 (  8%) ] Loss: 1.9560 top1= 67.0455

=== Log global consensus distance @ E5B10 ===
consensus_distance=1099.834



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.743


[E 5B20 |   9408/60000 ( 16%) ] Loss: 2.3629 top1= 70.4545

=== Log global consensus distance @ E5B20 ===
consensus_distance=1368.597



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.766



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=20.4111 top1= 20.4627


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6364 top1= 79.8377


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6208 top1= 80.2985

Train epoch 6
[E 6B0  |    448/60000 (  1%) ] Loss: 18.7993 top1= 59.6591

=== Log global consensus distance @ E6B0 ===
consensus_distance=1669.057



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.792


[E 6B10 |   4928/60000 (  8%) ] Loss: 11.3180 top1= 64.7727

=== Log global consensus distance @ E6B10 ===
consensus_distance=2008.072



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.816


[E 6B20 |   9408/60000 ( 16%) ] Loss: 4.5711 top1= 64.7727

=== Log global consensus distance @ E6B20 ===
consensus_distance=2376.459



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.839



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.1665 top1= 14.8137


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7341 top1= 79.7776


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7476 top1= 78.4756

Train epoch 7
[E 7B0  |    448/60000 (  1%) ] Loss: 2.2159 top1= 62.2159

=== Log global consensus distance @ E7B0 ===
consensus_distance=2770.339



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.860


[E 7B10 |   4928/60000 (  8%) ] Loss: 1.9482 top1= 61.0795

=== Log global consensus distance @ E7B10 ===
consensus_distance=3191.156



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.879


[E 7B20 |   9408/60000 ( 16%) ] Loss: 1.4316 top1= 61.0795

=== Log global consensus distance @ E7B20 ===
consensus_distance=3640.336



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.898



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=3.8108 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8209 top1= 76.8229


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8726 top1= 74.4792

Train epoch 8
[E 8B0  |    448/60000 (  1%) ] Loss: 1.5176 top1= 60.2273

=== Log global consensus distance @ E8B0 ===
consensus_distance=4118.531



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.919


[E 8B10 |   4928/60000 (  8%) ] Loss: 1.5995 top1= 57.9545

=== Log global consensus distance @ E8B10 ===
consensus_distance=4625.715



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.937


[E 8B20 |   9408/60000 ( 16%) ] Loss: 1.4265 top1= 60.7955

=== Log global consensus distance @ E8B20 ===
consensus_distance=5162.072



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.958



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.1832 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8231 top1= 75.6210


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8983 top1= 72.3758

Train epoch 9
[E 9B0  |    448/60000 (  1%) ] Loss: 1.6014 top1= 56.8182

=== Log global consensus distance @ E9B0 ===
consensus_distance=5727.723



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=0.982


[E 9B10 |   4928/60000 (  8%) ] Loss: 1.7241 top1= 55.6818

=== Log global consensus distance @ E9B10 ===
consensus_distance=6322.716



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.007


[E 9B20 |   9408/60000 ( 16%) ] Loss: 1.4958 top1= 58.8068

=== Log global consensus distance @ E9B20 ===
consensus_distance=6947.109



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.036



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.3422 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9369 top1= 71.0938


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9620 top1= 70.4527

Train epoch 10
[E10B0  |    448/60000 (  1%) ] Loss: 1.7248 top1= 52.5568

=== Log global consensus distance @ E10B0 ===
consensus_distance=7600.848



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.065


[E10B10 |   4928/60000 (  8%) ] Loss: 1.7758 top1= 53.9773

=== Log global consensus distance @ E10B10 ===
consensus_distance=8283.992



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.090


[E10B20 |   9408/60000 ( 16%) ] Loss: 1.5258 top1= 54.5455

=== Log global consensus distance @ E10B20 ===
consensus_distance=8996.523



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.118



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.4598 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9635 top1= 70.0220


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9638 top1= 70.2224

Train epoch 11
[E11B0  |    448/60000 (  1%) ] Loss: 1.7433 top1= 52.5568

=== Log global consensus distance @ E11B0 ===
consensus_distance=9738.435



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.149


[E11B10 |   4928/60000 (  8%) ] Loss: 1.8693 top1= 51.9886

=== Log global consensus distance @ E11B10 ===
consensus_distance=10509.742



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.180


[E11B20 |   9408/60000 ( 16%) ] Loss: 1.5522 top1= 55.3977

=== Log global consensus distance @ E11B20 ===
consensus_distance=11310.472



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.215



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.6506 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1102 top1= 64.6835


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0058 top1= 69.4311

Train epoch 12
[E12B0  |    448/60000 (  1%) ] Loss: 1.8859 top1= 50.5682

=== Log global consensus distance @ E12B0 ===
consensus_distance=12140.562



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.250


[E12B10 |   4928/60000 (  8%) ] Loss: 1.9150 top1= 51.4205

=== Log global consensus distance @ E12B10 ===
consensus_distance=13000.050



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.285


[E12B20 |   9408/60000 ( 16%) ] Loss: 1.7020 top1= 52.2727

=== Log global consensus distance @ E12B20 ===
consensus_distance=13888.984



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.323



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.6525 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4511 top1= 54.3470


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0126 top1= 69.8117

Train epoch 13
[E13B0  |    448/60000 (  1%) ] Loss: 2.0992 top1= 45.4545

=== Log global consensus distance @ E13B0 ===
consensus_distance=14807.256



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.363


[E13B10 |   4928/60000 (  8%) ] Loss: 1.9585 top1= 53.4091

=== Log global consensus distance @ E13B10 ===
consensus_distance=15754.953



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.411


[E13B20 |   9408/60000 ( 16%) ] Loss: 1.6482 top1= 52.5568

=== Log global consensus distance @ E13B20 ===
consensus_distance=16732.057



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.464



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.8819 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4246 top1= 55.5389


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0665 top1= 67.9688

Train epoch 14
[E14B0  |    448/60000 (  1%) ] Loss: 2.1403 top1= 44.3182

=== Log global consensus distance @ E14B0 ===
consensus_distance=17738.516



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.509


[E14B10 |   4928/60000 (  8%) ] Loss: 2.1981 top1= 53.1250

=== Log global consensus distance @ E14B10 ===
consensus_distance=18774.408



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.565


[E14B20 |   9408/60000 ( 16%) ] Loss: 1.7202 top1= 52.8409

=== Log global consensus distance @ E14B20 ===
consensus_distance=19839.668



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.620



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.9001 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4400 top1= 55.4587


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1476 top1= 65.0040

Train epoch 15
[E15B0  |    448/60000 (  1%) ] Loss: 2.1960 top1= 43.7500

=== Log global consensus distance @ E15B0 ===
consensus_distance=20934.316



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.675


[E15B10 |   4928/60000 (  8%) ] Loss: 2.2168 top1= 51.4205

=== Log global consensus distance @ E15B10 ===
consensus_distance=22058.391



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.735


[E15B20 |   9408/60000 ( 16%) ] Loss: 1.9179 top1= 46.3068

=== Log global consensus distance @ E15B20 ===
consensus_distance=23211.844



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.798



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.2455 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4331 top1= 55.4187


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2432 top1= 62.0994

Train epoch 16
[E16B0  |    448/60000 (  1%) ] Loss: 2.2793 top1= 44.6023

=== Log global consensus distance @ E16B0 ===
consensus_distance=24394.688



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.861


[E16B10 |   4928/60000 (  8%) ] Loss: 2.3633 top1= 51.9886

=== Log global consensus distance @ E16B10 ===
consensus_distance=25606.959



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=1.939


[E16B20 |   9408/60000 ( 16%) ] Loss: 1.8745 top1= 48.5795

=== Log global consensus distance @ E16B20 ===
consensus_distance=26848.617



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.017



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.9896 top1=  9.4752


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4306 top1= 55.8794


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2507 top1= 61.2580

Train epoch 17
[E17B0  |    448/60000 (  1%) ] Loss: 2.3668 top1= 46.5909

=== Log global consensus distance @ E17B0 ===
consensus_distance=28119.641



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.098


[E17B10 |   4928/60000 (  8%) ] Loss: 2.4299 top1= 53.4091

=== Log global consensus distance @ E17B10 ===
consensus_distance=29420.092



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.190


[E17B20 |   9408/60000 ( 16%) ] Loss: 2.2993 top1= 42.0455

=== Log global consensus distance @ E17B20 ===
consensus_distance=30749.885



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.284



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.6738 top1=  5.9495


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7593 top1= 46.2039


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3528 top1= 60.0661

Train epoch 18
[E18B0  |    448/60000 (  1%) ] Loss: 2.4111 top1= 42.8977

=== Log global consensus distance @ E18B0 ===
consensus_distance=32109.092



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.360


[E18B10 |   4928/60000 (  8%) ] Loss: 2.5042 top1= 47.7273

=== Log global consensus distance @ E18B10 ===
consensus_distance=33497.715



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.457


[E18B20 |   9408/60000 ( 16%) ] Loss: 2.1224 top1= 40.0568

=== Log global consensus distance @ E18B20 ===
consensus_distance=34915.691



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.542



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.2791 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8031 top1= 44.3510


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2485 top1= 62.7103

Train epoch 19
[E19B0  |    448/60000 (  1%) ] Loss: 2.7991 top1= 42.3295

=== Log global consensus distance @ E19B0 ===
consensus_distance=36363.020



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.631


[E19B10 |   4928/60000 (  8%) ] Loss: 2.6285 top1= 50.0000

=== Log global consensus distance @ E19B10 ===
consensus_distance=37839.875



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.741


[E19B20 |   9408/60000 ( 16%) ] Loss: 2.1872 top1= 43.1818

=== Log global consensus distance @ E19B20 ===
consensus_distance=39346.098



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.836



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=6.5186 top1=  7.8225


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7743 top1= 45.4728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3878 top1= 56.5304

Train epoch 20
[E20B0  |    448/60000 (  1%) ] Loss: 2.7463 top1= 40.0568

=== Log global consensus distance @ E20B0 ===
consensus_distance=40881.684



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=2.932


[E20B10 |   4928/60000 (  8%) ] Loss: 2.5784 top1= 45.4545

=== Log global consensus distance @ E20B10 ===
consensus_distance=42446.633



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.035


[E20B20 |   9408/60000 ( 16%) ] Loss: 2.1161 top1= 44.6023

=== Log global consensus distance @ E20B20 ===
consensus_distance=44040.973



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.132



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=5.8806 top1=  9.7556


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9180 top1= 41.7067


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6002 top1= 51.9131

Train epoch 21
[E21B0  |    448/60000 (  1%) ] Loss: 2.7449 top1= 38.3523

=== Log global consensus distance @ E21B0 ===
consensus_distance=45664.680



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.224


[E21B10 |   4928/60000 (  8%) ] Loss: 2.7075 top1= 44.0341

=== Log global consensus distance @ E21B10 ===
consensus_distance=47317.820



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.341


[E21B20 |   9408/60000 ( 16%) ] Loss: 2.3063 top1= 36.9318

=== Log global consensus distance @ E21B20 ===
consensus_distance=49000.336



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.465



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=4.9383 top1=  9.5152


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7655 top1= 43.6298


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6879 top1= 48.1170

Train epoch 22
[E22B0  |    448/60000 (  1%) ] Loss: 2.9587 top1= 38.6364

=== Log global consensus distance @ E22B0 ===
consensus_distance=50712.238



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.558


[E22B10 |   4928/60000 (  8%) ] Loss: 3.0452 top1= 43.4659

=== Log global consensus distance @ E22B10 ===
consensus_distance=52453.543



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.639


[E22B20 |   9408/60000 ( 16%) ] Loss: 2.5207 top1= 40.9091

=== Log global consensus distance @ E22B20 ===
consensus_distance=54224.242



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.774



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.5820 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8035 top1= 41.8570


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8446 top1= 44.5413

Train epoch 23
[E23B0  |    448/60000 (  1%) ] Loss: 2.9917 top1= 38.0682

=== Log global consensus distance @ E23B0 ===
consensus_distance=56024.273



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.870


[E23B10 |   4928/60000 (  8%) ] Loss: 3.1748 top1= 37.2159

=== Log global consensus distance @ E23B10 ===
consensus_distance=57853.668



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=3.967


[E23B20 |   9408/60000 ( 16%) ] Loss: 4.0233 top1= 39.7727

=== Log global consensus distance @ E23B20 ===
consensus_distance=59712.785



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=4.076



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=9.9495 top1=  9.7456


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7758 top1= 41.4563


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8825 top1= 42.3678

Train epoch 24
[E24B0  |    448/60000 (  1%) ] Loss: 3.9273 top1= 38.0682

=== Log global consensus distance @ E24B0 ===
consensus_distance=61653.809



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=0.640
clique2_consensus_distance=4.202


[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

