
=== 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.DumbbellVariant object at 0x7f1166ca27c0>

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3109 top1=  9.6875

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


[E 1B10 |   4224/60000 (  7%) ] Loss: 1.0133 top1= 65.0000
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2612 top1= 90.9375
[E 1B30 |  11904/60000 ( 20%) ] Loss: 0.4505 top1= 87.1875
[E 1B40 |  15744/60000 ( 26%) ] Loss: 0.2640 top1= 90.0000
[E 1B50 |  19584/60000 ( 33%) ] Loss: 0.1712 top1= 93.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4533 top1= 87.0593


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4594 top1= 51.9631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1165 top1= 48.5477

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.1820 top1= 95.0000
[E 2B10 |   4224/60000 (  7%) ] Loss: 0.1684 top1= 94.3750
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1264 top1= 95.9375
[E 2B30 |  11904/60000 ( 20%) ] Loss: 0.1730 top1= 95.3125
[E 2B40 |  15744/60000 ( 26%) ] Loss: 0.1354 top1= 95.0000
[E 2B50 |  19584/60000 ( 33%) ] Loss: 0.1044 top1= 95.9375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3348 top1= 89.5232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2323 top1= 55.7692


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6006 top1= 54.8077

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1122 top1= 96.8750
[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1197 top1= 95.9375
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0841 top1= 97.1875
[E 3B30 |  11904/60000 ( 20%) ] Loss: 0.1207 top1= 96.8750
[E 3B40 |  15744/60000 ( 26%) ] Loss: 0.0986 top1= 96.8750
[E 3B50 |  19584/60000 ( 33%) ] Loss: 0.0542 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2831 top1= 90.6450


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8971 top1= 58.6138


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5594 top1= 57.8425

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0663 top1= 99.0625
[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0870 top1= 95.9375
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0553 top1= 99.3750
[E 4B30 |  11904/60000 ( 20%) ] Loss: 0.0741 top1= 97.8125
[E 4B40 |  15744/60000 ( 26%) ] Loss: 0.0742 top1= 97.8125
[E 4B50 |  19584/60000 ( 33%) ] Loss: 0.0338 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2479 top1= 91.5064


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7065 top1= 61.7087


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6153 top1= 59.2147

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0513 top1= 98.4375
[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0688 top1= 97.8125
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0363 top1= 99.0625
[E 5B30 |  11904/60000 ( 20%) ] Loss: 0.0524 top1= 98.1250
[E 5B40 |  15744/60000 ( 26%) ] Loss: 0.0464 top1= 98.7500
[E 5B50 |  19584/60000 ( 33%) ] Loss: 0.0283 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2389 top1= 91.9872


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6941 top1= 63.4615


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5535 top1= 62.8405

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0364 top1= 99.3750
[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0480 top1= 98.4375
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0422 top1= 99.0625
[E 6B30 |  11904/60000 ( 20%) ] Loss: 0.0469 top1= 99.0625
[E 6B40 |  15744/60000 ( 26%) ] Loss: 0.0298 top1= 99.6875
[E 6B50 |  19584/60000 ( 33%) ] Loss: 0.0249 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2276 top1= 92.3578


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4538 top1= 66.0256


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4262 top1= 65.8654

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0295 top1= 99.6875
[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0277 top1= 98.7500
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0139 top1= 99.6875
[E 7B30 |  11904/60000 ( 20%) ] Loss: 0.0390 top1= 98.1250
[E 7B40 |  15744/60000 ( 26%) ] Loss: 0.0166 top1=100.0000
[E 7B50 |  19584/60000 ( 33%) ] Loss: 0.0122 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2032 top1= 93.5597


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1359 top1= 70.4627


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1898 top1= 69.8217

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0228 top1= 99.3750
[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0126 top1=100.0000
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0150 top1= 99.3750
[E 8B30 |  11904/60000 ( 20%) ] Loss: 0.0187 top1= 99.6875
[E 8B40 |  15744/60000 ( 26%) ] Loss: 0.0125 top1=100.0000
[E 8B50 |  19584/60000 ( 33%) ] Loss: 0.0124 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1940 top1= 93.7800


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1447 top1= 71.3341


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1014 top1= 71.2841

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0115 top1= 99.6875
[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0208 top1= 99.3750
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0077 top1=100.0000
[E 9B30 |  11904/60000 ( 20%) ] Loss: 0.0078 top1=100.0000
[E 9B40 |  15744/60000 ( 26%) ] Loss: 0.0112 top1= 99.6875
[E 9B50 |  19584/60000 ( 33%) ] Loss: 0.0079 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1898 top1= 94.3109


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1339 top1= 72.3958


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8891 top1= 76.0317

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0071 top1=100.0000
[E10B10 |   4224/60000 (  7%) ] Loss: 0.0080 top1=100.0000
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0037 top1=100.0000
[E10B30 |  11904/60000 ( 20%) ] Loss: 0.0064 top1=100.0000
[E10B40 |  15744/60000 ( 26%) ] Loss: 0.0048 top1=100.0000
[E10B50 |  19584/60000 ( 33%) ] Loss: 0.0046 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1874 top1= 94.4812


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9307 top1= 75.9014


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8700 top1= 77.3638

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0042 top1=100.0000
[E11B10 |   4224/60000 (  7%) ] Loss: 0.0024 top1=100.0000
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0032 top1=100.0000
[E11B30 |  11904/60000 ( 20%) ] Loss: 0.0048 top1=100.0000
[E11B40 |  15744/60000 ( 26%) ] Loss: 0.0045 top1=100.0000
[E11B50 |  19584/60000 ( 33%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1922 top1= 94.5613


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7616 top1= 79.7576


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8156 top1= 79.0565

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0046 top1=100.0000
[E12B10 |   4224/60000 (  7%) ] Loss: 0.0035 top1=100.0000
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0030 top1=100.0000
[E12B30 |  11904/60000 ( 20%) ] Loss: 0.0033 top1=100.0000
[E12B40 |  15744/60000 ( 26%) ] Loss: 0.0031 top1=100.0000
[E12B50 |  19584/60000 ( 33%) ] Loss: 0.0027 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1902 top1= 94.5613


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7088 top1= 81.4002


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7312 top1= 80.8393

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E13B10 |   4224/60000 (  7%) ] Loss: 0.0023 top1=100.0000
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0017 top1=100.0000
[E13B30 |  11904/60000 ( 20%) ] Loss: 0.0028 top1=100.0000
[E13B40 |  15744/60000 ( 26%) ] Loss: 0.0023 top1=100.0000
[E13B50 |  19584/60000 ( 33%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1859 top1= 94.8117


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6688 top1= 82.5020


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6842 top1= 82.3317

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E14B10 |   4224/60000 (  7%) ] Loss: 0.0036 top1=100.0000
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0015 top1=100.0000
[E14B30 |  11904/60000 ( 20%) ] Loss: 0.0027 top1=100.0000
[E14B40 |  15744/60000 ( 26%) ] Loss: 0.0018 top1=100.0000
[E14B50 |  19584/60000 ( 33%) ] Loss: 0.0013 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1858 top1= 94.9519


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6255 top1= 83.6538


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6146 top1= 84.2748

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E15B10 |   4224/60000 (  7%) ] Loss: 0.0011 top1=100.0000
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0011 top1=100.0000
[E15B30 |  11904/60000 ( 20%) ] Loss: 0.0025 top1=100.0000
[E15B40 |  15744/60000 ( 26%) ] Loss: 0.0014 top1=100.0000
[E15B50 |  19584/60000 ( 33%) ] Loss: 0.0013 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1859 top1= 95.0120


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6029 top1= 84.3450


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5489 top1= 85.9675

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E16B10 |   4224/60000 (  7%) ] Loss: 0.0008 top1=100.0000
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0011 top1=100.0000
[E16B30 |  11904/60000 ( 20%) ] Loss: 0.0018 top1=100.0000
[E16B40 |  15744/60000 ( 26%) ] Loss: 0.0012 top1=100.0000
[E16B50 |  19584/60000 ( 33%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1879 top1= 95.0220


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5754 top1= 85.2865


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5200 top1= 86.8790

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E17B10 |   4224/60000 (  7%) ] Loss: 0.0008 top1=100.0000
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0009 top1=100.0000
[E17B30 |  11904/60000 ( 20%) ] Loss: 0.0015 top1=100.0000
[E17B40 |  15744/60000 ( 26%) ] Loss: 0.0012 top1=100.0000
[E17B50 |  19584/60000 ( 33%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1889 top1= 95.0921


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5463 top1= 86.2780


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5123 top1= 87.1394

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E18B10 |   4224/60000 (  7%) ] Loss: 0.0008 top1=100.0000
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0008 top1=100.0000
[E18B30 |  11904/60000 ( 20%) ] Loss: 0.0013 top1=100.0000
[E18B40 |  15744/60000 ( 26%) ] Loss: 0.0010 top1=100.0000
[E18B50 |  19584/60000 ( 33%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1895 top1= 95.1522


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5296 top1= 86.8990


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4987 top1= 87.6703

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E19B10 |   4224/60000 (  7%) ] Loss: 0.0007 top1=100.0000
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0008 top1=100.0000
[E19B30 |  11904/60000 ( 20%) ] Loss: 0.0011 top1=100.0000
[E19B40 |  15744/60000 ( 26%) ] Loss: 0.0010 top1=100.0000
[E19B50 |  19584/60000 ( 33%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1901 top1= 95.1522


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5137 top1= 87.3197


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4881 top1= 88.0208

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E20B10 |   4224/60000 (  7%) ] Loss: 0.0007 top1=100.0000
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0007 top1=100.0000
[E20B30 |  11904/60000 ( 20%) ] Loss: 0.0010 top1=100.0000
[E20B40 |  15744/60000 ( 26%) ] Loss: 0.0009 top1=100.0000
[E20B50 |  19584/60000 ( 33%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1908 top1= 95.1623


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4990 top1= 87.7504


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4800 top1= 88.3013

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E21B10 |   4224/60000 (  7%) ] Loss: 0.0006 top1=100.0000
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0007 top1=100.0000
[E21B30 |  11904/60000 ( 20%) ] Loss: 0.0010 top1=100.0000
[E21B40 |  15744/60000 ( 26%) ] Loss: 0.0009 top1=100.0000
[E21B50 |  19584/60000 ( 33%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1913 top1= 95.2023


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4862 top1= 88.1410


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4716 top1= 88.5216

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E22B10 |   4224/60000 (  7%) ] Loss: 0.0006 top1=100.0000
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E22B30 |  11904/60000 ( 20%) ] Loss: 0.0009 top1=100.0000
[E22B40 |  15744/60000 ( 26%) ] Loss: 0.0008 top1=100.0000
[E22B50 |  19584/60000 ( 33%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1919 top1= 95.2524


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4744 top1= 88.4916


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4639 top1= 88.8121

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E23B10 |   4224/60000 (  7%) ] Loss: 0.0006 top1=100.0000
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E23B30 |  11904/60000 ( 20%) ] Loss: 0.0008 top1=100.0000
[E23B40 |  15744/60000 ( 26%) ] Loss: 0.0008 top1=100.0000
[E23B50 |  19584/60000 ( 33%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1925 top1= 95.2825


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4640 top1= 88.8221


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4570 top1= 88.9724

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E24B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0006 top1=100.0000
[E24B30 |  11904/60000 ( 20%) ] Loss: 0.0008 top1=100.0000
[E24B40 |  15744/60000 ( 26%) ] Loss: 0.0007 top1=100.0000
[E24B50 |  19584/60000 ( 33%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1930 top1= 95.3025


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4542 top1= 89.1326


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4507 top1= 89.2127

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E25B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E25B30 |  11904/60000 ( 20%) ] Loss: 0.0007 top1=100.0000
[E25B40 |  15744/60000 ( 26%) ] Loss: 0.0007 top1=100.0000
[E25B50 |  19584/60000 ( 33%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1936 top1= 95.3025


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4450 top1= 89.4431


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4449 top1= 89.4631

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E26B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E26B30 |  11904/60000 ( 20%) ] Loss: 0.0007 top1=100.0000
[E26B40 |  15744/60000 ( 26%) ] Loss: 0.0007 top1=100.0000
[E26B50 |  19584/60000 ( 33%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1942 top1= 95.3225


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4369 top1= 89.7135


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4398 top1= 89.6234

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E27B10 |   4224/60000 (  7%) ] Loss: 0.0005 top1=100.0000
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E27B30 |  11904/60000 ( 20%) ] Loss: 0.0006 top1=100.0000
[E27B40 |  15744/60000 ( 26%) ] Loss: 0.0006 top1=100.0000
[E27B50 |  19584/60000 ( 33%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1947 top1= 95.3526


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4290 top1= 90.0341


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4343 top1= 89.7937

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E28B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E28B30 |  11904/60000 ( 20%) ] Loss: 0.0006 top1=100.0000
[E28B40 |  15744/60000 ( 26%) ] Loss: 0.0006 top1=100.0000
[E28B50 |  19584/60000 ( 33%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1952 top1= 95.3826


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4219 top1= 90.2043


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4299 top1= 90.0040

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E29B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0005 top1=100.0000
[E29B30 |  11904/60000 ( 20%) ] Loss: 0.0006 top1=100.0000
[E29B40 |  15744/60000 ( 26%) ] Loss: 0.0006 top1=100.0000
[E29B50 |  19584/60000 ( 33%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1957 top1= 95.4127


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4150 top1= 90.4147


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4252 top1= 90.1943

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E30B10 |   4224/60000 (  7%) ] Loss: 0.0004 top1=100.0000
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0004 top1=100.0000
[E30B30 |  11904/60000 ( 20%) ] Loss: 0.0005 top1=100.0000
[E30B40 |  15744/60000 ( 26%) ] Loss: 0.0006 top1=100.0000
[E30B50 |  19584/60000 ( 33%) ] Loss: 0.0004 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1962 top1= 95.4227


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.4090 top1= 90.5549


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.4208 top1= 90.3245

