
=== 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 ByzantineWorker(index=10)
=> Add worker ByzantineWorker(index=11)

=== Start adding graph ===
<codes.graph_utils.RandomSmallWorldGraph object at 0x7f58ec4bd730>

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3054 top1= 10.0000

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



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



=== Log average shortest path distance for small world @ E1B0 ===
2.7777777777777777


[E 1B10 |   4224/60000 (  7%) ] Loss: 0.1530 top1= 95.3125
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.0794 top1= 98.4375
[E 1B30 |  11904/60000 ( 20%) ] Loss: 0.1165 top1= 96.5625
[E 1B40 |  15744/60000 ( 26%) ] Loss: 0.0707 top1= 98.1250
[E 1B50 |  19584/60000 ( 33%) ] Loss: 0.0730 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9392 top1= 66.3462

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1069 top1= 97.8125

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.135


[E 2B10 |   4224/60000 (  7%) ] Loss: 0.0416 top1= 99.3750
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.0397 top1= 99.3750
[E 2B30 |  11904/60000 ( 20%) ] Loss: 0.0553 top1= 98.1250
[E 2B40 |  15744/60000 ( 26%) ] Loss: 0.0698 top1= 97.5000
[E 2B50 |  19584/60000 ( 33%) ] Loss: 0.0556 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7665 top1= 72.5661

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.0753 top1= 97.5000

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.092


[E 3B10 |   4224/60000 (  7%) ] Loss: 0.0398 top1= 99.3750
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0184 top1= 99.6875
[E 3B30 |  11904/60000 ( 20%) ] Loss: 0.0391 top1= 98.7500
[E 3B40 |  15744/60000 ( 26%) ] Loss: 0.0653 top1= 98.4375
[E 3B50 |  19584/60000 ( 33%) ] Loss: 0.0430 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7168 top1= 74.6995

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0601 top1= 99.0625

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.079


[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0460 top1= 99.3750
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0206 top1= 99.6875
[E 4B30 |  11904/60000 ( 20%) ] Loss: 0.0267 top1= 99.3750
[E 4B40 |  15744/60000 ( 26%) ] Loss: 0.0609 top1= 98.4375
[E 4B50 |  19584/60000 ( 33%) ] Loss: 0.0401 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6690 top1= 77.4239

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0800 top1= 97.1875

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.077


[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0578 top1= 99.0625
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0234 top1= 99.0625
[E 5B30 |  11904/60000 ( 20%) ] Loss: 0.0265 top1= 99.3750
[E 5B40 |  15744/60000 ( 26%) ] Loss: 0.0525 top1= 98.7500
[E 5B50 |  19584/60000 ( 33%) ] Loss: 0.0383 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6618 top1= 77.6142

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0631 top1= 98.4375

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.076


[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0405 top1= 99.0625
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0258 top1= 99.0625
[E 6B30 |  11904/60000 ( 20%) ] Loss: 0.0209 top1= 99.6875
[E 6B40 |  15744/60000 ( 26%) ] Loss: 0.0515 top1= 98.4375
[E 6B50 |  19584/60000 ( 33%) ] Loss: 0.0336 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6492 top1= 78.7059

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0506 top1= 98.4375

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.069


[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0223 top1= 99.6875
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0265 top1= 99.0625
[E 7B30 |  11904/60000 ( 20%) ] Loss: 0.0160 top1=100.0000
[E 7B40 |  15744/60000 ( 26%) ] Loss: 0.0413 top1= 98.7500
[E 7B50 |  19584/60000 ( 33%) ] Loss: 0.0319 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6484 top1= 78.8061

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0581 top1= 98.7500

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.065


[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0310 top1= 99.6875
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0215 top1= 99.0625
[E 8B30 |  11904/60000 ( 20%) ] Loss: 0.0187 top1=100.0000
[E 8B40 |  15744/60000 ( 26%) ] Loss: 0.0392 top1= 98.4375
[E 8B50 |  19584/60000 ( 33%) ] Loss: 0.0307 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6544 top1= 78.4956

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0558 top1= 99.3750

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.064


[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0333 top1= 99.3750
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0178 top1= 99.3750
[E 9B30 |  11904/60000 ( 20%) ] Loss: 0.0192 top1=100.0000
[E 9B40 |  15744/60000 ( 26%) ] Loss: 0.0311 top1= 99.0625
[E 9B50 |  19584/60000 ( 33%) ] Loss: 0.0293 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6702 top1= 78.0148

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0577 top1= 99.0625

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.063


[E10B10 |   4224/60000 (  7%) ] Loss: 0.0321 top1= 99.6875
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0200 top1= 99.3750
[E10B30 |  11904/60000 ( 20%) ] Loss: 0.0223 top1= 99.6875
[E10B40 |  15744/60000 ( 26%) ] Loss: 0.0283 top1= 98.7500
[E10B50 |  19584/60000 ( 33%) ] Loss: 0.0274 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6913 top1= 77.3237

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0613 top1= 99.0625

=== Log global consensus distance @ E11B0 ===
consensus_distance=0.062


[E11B10 |   4224/60000 (  7%) ] Loss: 0.0262 top1= 99.6875
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0217 top1= 99.3750
[E11B30 |  11904/60000 ( 20%) ] Loss: 0.0262 top1= 99.3750
[E11B40 |  15744/60000 ( 26%) ] Loss: 0.0329 top1= 98.7500
[E11B50 |  19584/60000 ( 33%) ] Loss: 0.0263 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7103 top1= 77.2536

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0577 top1= 98.7500

=== Log global consensus distance @ E12B0 ===
consensus_distance=0.061


[E12B10 |   4224/60000 (  7%) ] Loss: 0.0168 top1=100.0000
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0184 top1= 99.6875
[E12B30 |  11904/60000 ( 20%) ] Loss: 0.0459 top1= 98.7500
[E12B40 |  15744/60000 ( 26%) ] Loss: 0.0302 top1= 99.3750
[E12B50 |  19584/60000 ( 33%) ] Loss: 0.0272 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7375 top1= 76.9331

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0617 top1= 98.4375

=== Log global consensus distance @ E13B0 ===
consensus_distance=0.061


[E13B10 |   4224/60000 (  7%) ] Loss: 0.0196 top1= 99.6875
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0274 top1= 99.3750
[E13B30 |  11904/60000 ( 20%) ] Loss: 0.0263 top1= 99.3750
[E13B40 |  15744/60000 ( 26%) ] Loss: 0.0361 top1= 99.0625
[E13B50 |  19584/60000 ( 33%) ] Loss: 0.0273 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7678 top1= 77.3938

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0570 top1= 98.4375

=== Log global consensus distance @ E14B0 ===
consensus_distance=0.063


[E14B10 |   4224/60000 (  7%) ] Loss: 0.0189 top1=100.0000
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0193 top1= 99.6875
[E14B30 |  11904/60000 ( 20%) ] Loss: 0.0475 top1= 98.1250
[E14B40 |  15744/60000 ( 26%) ] Loss: 0.0354 top1= 99.3750
[E14B50 |  19584/60000 ( 33%) ] Loss: 0.0314 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8204 top1= 75.3405

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0677 top1= 97.5000

=== Log global consensus distance @ E15B0 ===
consensus_distance=0.061


[E15B10 |   4224/60000 (  7%) ] Loss: 0.0288 top1= 99.6875
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0221 top1= 99.6875
[E15B30 |  11904/60000 ( 20%) ] Loss: 0.0365 top1= 99.0625
[E15B40 |  15744/60000 ( 26%) ] Loss: 0.0450 top1= 98.1250
[E15B50 |  19584/60000 ( 33%) ] Loss: 0.0335 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8523 top1= 75.7913

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0583 top1= 98.1250

=== Log global consensus distance @ E16B0 ===
consensus_distance=0.060


[E16B10 |   4224/60000 (  7%) ] Loss: 0.0279 top1= 99.6875
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0435 top1= 99.0625
[E16B30 |  11904/60000 ( 20%) ] Loss: 0.0721 top1= 98.1250
[E16B40 |  15744/60000 ( 26%) ] Loss: 0.0556 top1= 98.4375
[E16B50 |  19584/60000 ( 33%) ] Loss: 0.0392 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9090 top1= 75.1102

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0699 top1= 97.8125

=== Log global consensus distance @ E17B0 ===
consensus_distance=0.066


[E17B10 |   4224/60000 (  7%) ] Loss: 0.0299 top1= 99.3750
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0252 top1= 99.6875
[E17B30 |  11904/60000 ( 20%) ] Loss: 0.0543 top1= 98.4375
[E17B40 |  15744/60000 ( 26%) ] Loss: 0.0525 top1= 98.4375
[E17B50 |  19584/60000 ( 33%) ] Loss: 0.0365 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9339 top1= 73.3974

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0825 top1= 97.5000

=== Log global consensus distance @ E18B0 ===
consensus_distance=0.061


[E18B10 |   4224/60000 (  7%) ] Loss: 0.0657 top1= 99.0625
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0251 top1= 99.0625
[E18B30 |  11904/60000 ( 20%) ] Loss: 0.0436 top1= 99.3750
[E18B40 |  15744/60000 ( 26%) ] Loss: 0.0573 top1= 98.4375
[E18B50 |  19584/60000 ( 33%) ] Loss: 0.0415 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.9762 top1= 72.4459

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0875 top1= 97.5000

=== Log global consensus distance @ E19B0 ===
consensus_distance=0.063


[E19B10 |   4224/60000 (  7%) ] Loss: 0.0304 top1= 99.6875
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0267 top1= 99.6875
[E19B30 |  11904/60000 ( 20%) ] Loss: 0.0620 top1= 98.1250
[E19B40 |  15744/60000 ( 26%) ] Loss: 0.0516 top1= 98.4375
[E19B50 |  19584/60000 ( 33%) ] Loss: 0.0372 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0068 top1= 71.9050

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0838 top1= 97.5000

=== Log global consensus distance @ E20B0 ===
consensus_distance=0.063


[E20B10 |   4224/60000 (  7%) ] Loss: 0.0432 top1= 99.3750
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0291 top1= 99.3750
[E20B30 |  11904/60000 ( 20%) ] Loss: 0.0473 top1= 99.0625
[E20B40 |  15744/60000 ( 26%) ] Loss: 0.0579 top1= 98.4375
[E20B50 |  19584/60000 ( 33%) ] Loss: 0.0503 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0267 top1= 71.2640

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0777 top1= 97.5000

=== Log global consensus distance @ E21B0 ===
consensus_distance=0.062


[E21B10 |   4224/60000 (  7%) ] Loss: 0.0484 top1= 99.3750
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0312 top1= 99.6875
[E21B30 |  11904/60000 ( 20%) ] Loss: 0.1109 top1= 97.5000
[E21B40 |  15744/60000 ( 26%) ] Loss: 0.0649 top1= 98.1250
[E21B50 |  19584/60000 ( 33%) ] Loss: 0.0451 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0853 top1= 68.3594

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0757 top1= 97.8125

=== Log global consensus distance @ E22B0 ===
consensus_distance=0.071


[E22B10 |   4224/60000 (  7%) ] Loss: 0.0296 top1=100.0000
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0308 top1= 99.0625
[E22B30 |  11904/60000 ( 20%) ] Loss: 0.0652 top1= 98.7500
[E22B40 |  15744/60000 ( 26%) ] Loss: 0.0588 top1= 97.8125
[E22B50 |  19584/60000 ( 33%) ] Loss: 0.0451 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0717 top1= 70.6530

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.1063 top1= 97.5000

=== Log global consensus distance @ E23B0 ===
consensus_distance=0.071


[E23B10 |   4224/60000 (  7%) ] Loss: 0.0581 top1= 99.0625
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0324 top1= 99.6875
[E23B30 |  11904/60000 ( 20%) ] Loss: 0.0708 top1= 98.7500
[E23B40 |  15744/60000 ( 26%) ] Loss: 0.0632 top1= 98.1250
[E23B50 |  19584/60000 ( 33%) ] Loss: 0.0537 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0978 top1= 67.6082

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0844 top1= 97.5000

=== Log global consensus distance @ E24B0 ===
consensus_distance=0.067


[E24B10 |   4224/60000 (  7%) ] Loss: 0.0296 top1= 99.6875
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0291 top1= 99.6875
[E24B30 |  11904/60000 ( 20%) ] Loss: 0.0544 top1= 98.7500
[E24B40 |  15744/60000 ( 26%) ] Loss: 0.0554 top1= 97.8125
[E24B50 |  19584/60000 ( 33%) ] Loss: 0.0386 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.0906 top1= 71.2139

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0970 top1= 97.5000

=== Log global consensus distance @ E25B0 ===
consensus_distance=0.064


[E25B10 |   4224/60000 (  7%) ] Loss: 0.0750 top1= 99.0625
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0467 top1= 98.4375
[E25B30 |  11904/60000 ( 20%) ] Loss: 0.0405 top1= 99.0625
[E25B40 |  15744/60000 ( 26%) ] Loss: 0.0649 top1= 98.4375
[E25B50 |  19584/60000 ( 33%) ] Loss: 0.0444 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1060 top1= 69.8618

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0942 top1= 97.1875

=== Log global consensus distance @ E26B0 ===
consensus_distance=0.065


[E26B10 |   4224/60000 (  7%) ] Loss: 0.0643 top1= 99.0625
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0332 top1= 99.3750
[E26B30 |  11904/60000 ( 20%) ] Loss: 0.0388 top1= 99.0625
[E26B40 |  15744/60000 ( 26%) ] Loss: 0.0638 top1= 98.1250
[E26B50 |  19584/60000 ( 33%) ] Loss: 0.0549 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1182 top1= 68.6098

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.1026 top1= 97.5000

=== Log global consensus distance @ E27B0 ===
consensus_distance=0.065


[E27B10 |   4224/60000 (  7%) ] Loss: 0.0430 top1= 99.3750
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0291 top1= 99.3750
[E27B30 |  11904/60000 ( 20%) ] Loss: 0.0511 top1= 98.4375
[E27B40 |  15744/60000 ( 26%) ] Loss: 0.0576 top1= 98.1250
[E27B50 |  19584/60000 ( 33%) ] Loss: 0.0525 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1356 top1= 69.0004

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.1005 top1= 97.5000

=== Log global consensus distance @ E28B0 ===
consensus_distance=0.070


[E28B10 |   4224/60000 (  7%) ] Loss: 0.0479 top1= 99.3750
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0410 top1= 98.4375
[E28B30 |  11904/60000 ( 20%) ] Loss: 0.0825 top1= 98.1250
[E28B40 |  15744/60000 ( 26%) ] Loss: 0.0662 top1= 98.1250
[E28B50 |  19584/60000 ( 33%) ] Loss: 0.0568 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1544 top1= 66.0256

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0781 top1= 97.8125

=== Log global consensus distance @ E29B0 ===
consensus_distance=0.068


[E29B10 |   4224/60000 (  7%) ] Loss: 0.0287 top1=100.0000
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0319 top1= 99.0625
[E29B30 |  11904/60000 ( 20%) ] Loss: 0.0509 top1= 98.4375
[E29B40 |  15744/60000 ( 26%) ] Loss: 0.0612 top1= 98.1250
[E29B50 |  19584/60000 ( 33%) ] Loss: 0.0424 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1500 top1= 68.2492

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0954 top1= 97.8125

=== Log global consensus distance @ E30B0 ===
consensus_distance=0.065


[E30B10 |   4224/60000 (  7%) ] Loss: 0.0431 top1= 99.6875
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0332 top1= 99.3750
[E30B30 |  11904/60000 ( 20%) ] Loss: 0.0416 top1= 98.7500
[E30B40 |  15744/60000 ( 26%) ] Loss: 0.0618 top1= 98.1250
[E30B50 |  19584/60000 ( 33%) ] Loss: 0.0430 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1611 top1= 68.2192

