
=== 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 0x7fefe568a7f0>

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: 0.9953 top1= 63.7500
[E 1B20 |   8064/60000 ( 13%) ] Loss: 0.2591 top1= 91.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.6736 top1= 79.1667


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=9.9585 top1= 48.6278


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=7.6374 top1= 43.5998

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 0.3938 top1= 90.3125
[E 2B10 |   4224/60000 (  7%) ] Loss: 0.2596 top1= 92.5000
[E 2B20 |   8064/60000 ( 13%) ] Loss: 0.1532 top1= 95.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7081 top1= 84.5453


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.0928 top1= 49.7596


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1322 top1= 45.5529

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 0.1432 top1= 95.3125
[E 3B10 |   4224/60000 (  7%) ] Loss: 0.1230 top1= 95.9375
[E 3B20 |   8064/60000 ( 13%) ] Loss: 0.0814 top1= 97.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5841 top1= 85.4667


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.8890 top1= 50.0901


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1629 top1= 45.9736

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 0.0798 top1= 97.1875
[E 4B10 |   4224/60000 (  7%) ] Loss: 0.0634 top1= 96.8750
[E 4B20 |   8064/60000 ( 13%) ] Loss: 0.0494 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5033 top1= 86.8189


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9668 top1= 50.1903


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.3609 top1= 46.1438

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 0.0438 top1= 98.4375
[E 5B10 |   4224/60000 (  7%) ] Loss: 0.0441 top1= 99.0625
[E 5B20 |   8064/60000 ( 13%) ] Loss: 0.0269 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4448 top1= 87.7204


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.0576 top1= 50.2404


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8122 top1= 46.3542

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 0.0219 top1=100.0000
[E 6B10 |   4224/60000 (  7%) ] Loss: 0.0263 top1= 99.3750
[E 6B20 |   8064/60000 ( 13%) ] Loss: 0.0144 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4288 top1= 87.1995


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.1934 top1= 50.2404


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0154 top1= 46.0337

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 0.0137 top1=100.0000
[E 7B10 |   4224/60000 (  7%) ] Loss: 0.0164 top1=100.0000
[E 7B20 |   8064/60000 ( 13%) ] Loss: 0.0140 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4039 top1= 87.4800


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3158 top1= 50.2905


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.9948 top1= 46.2841

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 0.0089 top1=100.0000
[E 8B10 |   4224/60000 (  7%) ] Loss: 0.0133 top1=100.0000
[E 8B20 |   8064/60000 ( 13%) ] Loss: 0.0064 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3782 top1= 88.1911


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3720 top1= 50.3305


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0480 top1= 46.5645

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 0.0117 top1=100.0000
[E 9B10 |   4224/60000 (  7%) ] Loss: 0.0167 top1= 99.6875
[E 9B20 |   8064/60000 ( 13%) ] Loss: 0.0066 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3676 top1= 88.2913


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.3551 top1= 50.3606


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=5.0408 top1= 46.5745

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 0.0077 top1=100.0000
[E10B10 |   4224/60000 (  7%) ] Loss: 0.0163 top1= 99.0625
[E10B20 |   8064/60000 ( 13%) ] Loss: 0.0071 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3633 top1= 88.2712


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=5.2009 top1= 50.3005


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.8773 top1= 46.5044

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: 0.0063 top1=100.0000
[E11B10 |   4224/60000 (  7%) ] Loss: 0.0049 top1=100.0000
[E11B20 |   8064/60000 ( 13%) ] Loss: 0.0057 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3936 top1= 87.2696


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.9873 top1= 50.3506


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.5549 top1= 46.0236

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: 0.0105 top1=100.0000
[E12B10 |   4224/60000 (  7%) ] Loss: 0.0078 top1=100.0000
[E12B20 |   8064/60000 ( 13%) ] Loss: 0.0035 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3573 top1= 88.2712


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.7282 top1= 50.2804


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.4856 top1= 46.5545

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: 0.0072 top1=100.0000
[E13B10 |   4224/60000 (  7%) ] Loss: 0.0094 top1= 99.6875
[E13B20 |   8064/60000 ( 13%) ] Loss: 0.0047 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3498 top1= 88.4515


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.4553 top1= 50.2604


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.1714 top1= 47.3157

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: 0.0038 top1=100.0000
[E14B10 |   4224/60000 (  7%) ] Loss: 0.0056 top1=100.0000
[E14B20 |   8064/60000 ( 13%) ] Loss: 0.0069 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3509 top1= 88.3413


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.2003 top1= 50.3105


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=4.0312 top1= 47.3858

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: 0.0042 top1=100.0000
[E15B10 |   4224/60000 (  7%) ] Loss: 0.0060 top1=100.0000
[E15B20 |   8064/60000 ( 13%) ] Loss: 0.0119 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3577 top1= 87.9507


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.9258 top1= 50.6611


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.8393 top1= 47.7163

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: 0.0040 top1=100.0000
[E16B10 |   4224/60000 (  7%) ] Loss: 0.0064 top1=100.0000
[E16B20 |   8064/60000 ( 13%) ] Loss: 0.0035 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3912 top1= 86.5986


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.6714 top1= 51.1919


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.8862 top1= 47.5861

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: 0.0117 top1= 99.3750
[E17B10 |   4224/60000 (  7%) ] Loss: 0.0059 top1=100.0000
[E17B20 |   8064/60000 ( 13%) ] Loss: 0.0035 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3399 top1= 89.0124


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.4631 top1= 51.8229


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.3418 top1= 49.2688

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: 0.0035 top1=100.0000
[E18B10 |   4224/60000 (  7%) ] Loss: 0.0063 top1=100.0000
[E18B20 |   8064/60000 ( 13%) ] Loss: 0.0027 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3387 top1= 89.2528


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.2724 top1= 52.7043


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.3487 top1= 49.7196

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: 0.0030 top1=100.0000
[E19B10 |   4224/60000 (  7%) ] Loss: 0.0031 top1=100.0000
[E19B20 |   8064/60000 ( 13%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3257 top1= 89.8037


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.1074 top1= 54.1767


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.1375 top1= 50.3205

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: 0.0032 top1=100.0000
[E20B10 |   4224/60000 (  7%) ] Loss: 0.0033 top1=100.0000
[E20B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3190 top1= 90.1542


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.9665 top1= 55.1883


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.8917 top1= 51.3021

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: 0.0030 top1=100.0000
[E21B10 |   4224/60000 (  7%) ] Loss: 0.0030 top1=100.0000
[E21B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3122 top1= 90.4147


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8428 top1= 56.2600


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.6595 top1= 52.5541

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: 0.0032 top1=100.0000
[E22B10 |   4224/60000 (  7%) ] Loss: 0.0031 top1=100.0000
[E22B20 |   8064/60000 ( 13%) ] Loss: 0.0025 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3086 top1= 90.5349


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.7155 top1= 57.3217


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4519 top1= 53.9864

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: 0.0033 top1=100.0000
[E23B10 |   4224/60000 (  7%) ] Loss: 0.0031 top1=100.0000
[E23B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3054 top1= 90.6150


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6002 top1= 58.2833


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2638 top1= 55.4087

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: 0.0033 top1=100.0000
[E24B10 |   4224/60000 (  7%) ] Loss: 0.0030 top1=100.0000
[E24B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3022 top1= 90.8153


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4594 top1= 59.3950


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1022 top1= 57.0813

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: 0.0033 top1=100.0000
[E25B10 |   4224/60000 (  7%) ] Loss: 0.0030 top1=100.0000
[E25B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3002 top1= 90.9756


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3379 top1= 60.2764


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9575 top1= 58.7740

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: 0.0031 top1=100.0000
[E26B10 |   4224/60000 (  7%) ] Loss: 0.0027 top1=100.0000
[E26B20 |   8064/60000 ( 13%) ] Loss: 0.0026 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2980 top1= 91.1759


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2008 top1= 61.3682


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8360 top1= 60.3466

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: 0.0030 top1=100.0000
[E27B10 |   4224/60000 (  7%) ] Loss: 0.0027 top1=100.0000
[E27B20 |   8064/60000 ( 13%) ] Loss: 0.0025 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2963 top1= 91.2961


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0704 top1= 62.6102


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7252 top1= 62.2196

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: 0.0028 top1=100.0000
[E28B10 |   4224/60000 (  7%) ] Loss: 0.0024 top1=100.0000
[E28B20 |   8064/60000 ( 13%) ] Loss: 0.0024 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2952 top1= 91.4563


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.9470 top1= 63.6518


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6241 top1= 64.0425

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: 0.0026 top1=100.0000
[E29B10 |   4224/60000 (  7%) ] Loss: 0.0023 top1=100.0000
[E29B20 |   8064/60000 ( 13%) ] Loss: 0.0022 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2942 top1= 91.5064


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.8267 top1= 64.7536


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5357 top1= 65.7452

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: 0.0024 top1=100.0000
[E30B10 |   4224/60000 (  7%) ] Loss: 0.0021 top1=100.0000
[E30B20 |   8064/60000 ( 13%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2944 top1= 91.6567


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7213 top1= 66.1058


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4541 top1= 67.4880

