
=== 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)

=== Start adding graph ===
<codes.graph_utils.Dumbbell object at 0x7f6b78bf96d0>

Train epoch 1
[E 1B0  |    320/60000 (  1%) ] Loss: 2.3027 top1= 10.3125

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


[E 1B10 |   3520/60000 (  6%) ] Loss: 1.0591 top1= 63.4375
[E 1B20 |   6720/60000 ( 11%) ] Loss: 0.3846 top1= 88.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5901 top1= 82.5321


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=4.5439 top1= 49.3790


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.8253 top1= 44.5012

Train epoch 2
[E 2B0  |    320/60000 (  1%) ] Loss: 0.3232 top1= 90.6250
[E 2B10 |   3520/60000 (  6%) ] Loss: 0.2377 top1= 92.1875
[E 2B20 |   6720/60000 ( 11%) ] Loss: 0.2472 top1= 91.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4352 top1= 87.2496


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0815 top1= 53.5457


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.1655 top1= 49.5693

Train epoch 3
[E 3B0  |    320/60000 (  1%) ] Loss: 0.2050 top1= 94.3750
[E 3B10 |   3520/60000 (  6%) ] Loss: 0.1608 top1= 94.6875
[E 3B20 |   6720/60000 ( 11%) ] Loss: 0.1450 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3656 top1= 88.7720


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.7749 top1= 58.3333


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9236 top1= 53.7059

Train epoch 4
[E 4B0  |    320/60000 (  1%) ] Loss: 0.1413 top1= 96.8750
[E 4B10 |   3520/60000 (  6%) ] Loss: 0.0765 top1= 98.1250
[E 4B20 |   6720/60000 ( 11%) ] Loss: 0.0858 top1= 97.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3388 top1= 89.3029


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6103 top1= 61.2680


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7433 top1= 56.6106

Train epoch 5
[E 5B0  |    320/60000 (  1%) ] Loss: 0.1007 top1= 98.1250
[E 5B10 |   3520/60000 (  6%) ] Loss: 0.0439 top1= 99.0625
[E 5B20 |   6720/60000 ( 11%) ] Loss: 0.0617 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3167 top1= 90.1743


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5065 top1= 63.3013


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.5080 top1= 60.6270

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.0699 top1= 98.4375
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0343 top1= 99.3750
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0506 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3192 top1= 89.9639


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.5306 top1= 65.5148


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6272 top1= 58.9844

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0578 top1= 98.7500
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0678 top1= 96.8750
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0886 top1= 96.2500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3486 top1= 89.1026


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4786 top1= 66.8369


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6840 top1= 59.5353

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.1254 top1= 95.3125
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0622 top1= 97.8125
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0418 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3016 top1= 90.5950


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4610 top1= 67.8786


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6358 top1= 57.3117

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0496 top1= 98.7500
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0398 top1= 99.3750
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0282 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2973 top1= 90.7652


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3887 top1= 69.5112


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2373 top1= 66.6967

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0250 top1= 99.0625
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0305 top1= 99.6875
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0140 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2721 top1= 91.7368


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1885 top1= 71.3842


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9537 top1= 72.8466

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0113 top1= 99.6875
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0106 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0214 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2713 top1= 91.8670


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1295 top1= 72.3758


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9875 top1= 74.2788

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0069 top1=100.0000
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0239 top1= 99.0625
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0133 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2715 top1= 91.9371


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9261 top1= 76.6226


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0768 top1= 73.5777

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0104 top1= 99.6875
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0039 top1=100.0000
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0047 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2730 top1= 91.9772


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7984 top1= 79.3670


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0077 top1= 75.2905

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0059 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0340 top1= 98.7500
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0071 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2666 top1= 92.6382


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7842 top1= 80.0080


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8022 top1= 79.1867

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0050 top1=100.0000
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0048 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0030 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2641 top1= 92.8786


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7331 top1= 81.4804


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7527 top1= 80.7592

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0032 top1=100.0000
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0033 top1=100.0000
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0023 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2661 top1= 92.9688


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7089 top1= 82.3417


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7654 top1= 81.1098

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0026 top1=100.0000
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0026 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2691 top1= 93.0188


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6912 top1= 83.0929


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7525 top1= 81.6306

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0023 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0022 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2713 top1= 93.0589


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6782 top1= 83.6438


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7221 top1= 82.3618

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0019 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0019 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2728 top1= 93.1290


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6709 top1= 84.0545


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6863 top1= 83.2332

Train epoch 20
[E20B0  |    320/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E20B10 |   3520/60000 (  6%) ] Loss: 0.0017 top1=100.0000
[E20B20 |   6720/60000 ( 11%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2744 top1= 93.1490


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6620 top1= 84.3750


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6621 top1= 83.8742

Train epoch 21
[E21B0  |    320/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E21B10 |   3520/60000 (  6%) ] Loss: 0.0016 top1=100.0000
[E21B20 |   6720/60000 ( 11%) ] Loss: 0.0013 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2760 top1= 93.2192


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6481 top1= 84.7656


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6468 top1= 84.5954

Train epoch 22
[E22B0  |    320/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E22B10 |   3520/60000 (  6%) ] Loss: 0.0015 top1=100.0000
[E22B20 |   6720/60000 ( 11%) ] Loss: 0.0012 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2774 top1= 93.2192


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6344 top1= 85.0962


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6347 top1= 84.8958

Train epoch 23
[E23B0  |    320/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E23B10 |   3520/60000 (  6%) ] Loss: 0.0014 top1=100.0000
[E23B20 |   6720/60000 ( 11%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2789 top1= 93.2292


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6210 top1= 85.4868


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6253 top1= 85.1262

Train epoch 24
[E24B0  |    320/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E24B10 |   3520/60000 (  6%) ] Loss: 0.0013 top1=100.0000
[E24B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2803 top1= 93.2392


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6092 top1= 85.9175


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6156 top1= 85.4167

Train epoch 25
[E25B0  |    320/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E25B10 |   3520/60000 (  6%) ] Loss: 0.0012 top1=100.0000
[E25B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2817 top1= 93.2692


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5984 top1= 86.2280


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6077 top1= 85.6871

Train epoch 26
[E26B0  |    320/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E26B10 |   3520/60000 (  6%) ] Loss: 0.0012 top1=100.0000
[E26B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2830 top1= 93.2792


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5891 top1= 86.5184


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5996 top1= 85.9575

Train epoch 27
[E27B0  |    320/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E27B10 |   3520/60000 (  6%) ] Loss: 0.0011 top1=100.0000
[E27B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2842 top1= 93.3193


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5805 top1= 86.7889


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5919 top1= 86.2580

Train epoch 28
[E28B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E28B10 |   3520/60000 (  6%) ] Loss: 0.0010 top1=100.0000
[E28B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2854 top1= 93.3293


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5727 top1= 87.0092


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5849 top1= 86.6186

Train epoch 29
[E29B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E29B10 |   3520/60000 (  6%) ] Loss: 0.0010 top1=100.0000
[E29B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2866 top1= 93.3594


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5654 top1= 87.2396


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5789 top1= 86.8490

Train epoch 30
[E30B0  |    320/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E30B10 |   3520/60000 (  6%) ] Loss: 0.0010 top1=100.0000
[E30B20 |   6720/60000 ( 11%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2877 top1= 93.3994


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5583 top1= 87.4099


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5726 top1= 87.0393

