
=== 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 0x7fcca3b5c6d0>

Train epoch 1
[E 1B0  |    320/60000 (  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')


[E 1B10 |   3520/60000 (  6%) ] Loss: 0.9816 top1= 73.4375
[E 1B20 |   6720/60000 ( 11%) ] Loss: 0.3015 top1= 89.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.7059 top1= 53.1050


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=6.3687 top1= 48.8982


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=3.7071 top1= 49.7396

Train epoch 2
[E 2B0  |    320/60000 (  1%) ] Loss: 0.2459 top1= 92.5000
[E 2B10 |   3520/60000 (  6%) ] Loss: 0.1647 top1= 95.0000
[E 2B20 |   6720/60000 ( 11%) ] Loss: 0.1600 top1= 94.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=1.1123 top1= 66.3862


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.7673 top1= 48.6579


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.3736 top1= 54.3269

Train epoch 3
[E 3B0  |    320/60000 (  1%) ] Loss: 0.1717 top1= 94.0625
[E 3B10 |   3520/60000 (  6%) ] Loss: 0.1116 top1= 97.5000
[E 3B20 |   6720/60000 ( 11%) ] Loss: 0.1101 top1= 97.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7866 top1= 74.8598


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=3.1898 top1= 49.8798


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.8500 top1= 59.7957

Train epoch 4
[E 4B0  |    320/60000 (  1%) ] Loss: 0.1038 top1= 97.5000
[E 4B10 |   3520/60000 (  6%) ] Loss: 0.0832 top1= 97.8125
[E 4B20 |   6720/60000 ( 11%) ] Loss: 0.0819 top1= 97.8125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.7683 top1= 76.2320


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.8440 top1= 54.2167


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.7489 top1= 62.7504

Train epoch 5
[E 5B0  |    320/60000 (  1%) ] Loss: 0.0813 top1= 98.4375
[E 5B10 |   3520/60000 (  6%) ] Loss: 0.0670 top1= 98.1250
[E 5B20 |   6720/60000 ( 11%) ] Loss: 0.0780 top1= 97.5000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5883 top1= 82.0913


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6808 top1= 55.9996


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9177 top1= 60.8373

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.0553 top1= 99.0625
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0547 top1= 98.4375
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0507 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8338 top1= 76.3021


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5577 top1= 58.7941


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6327 top1= 63.4816

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0857 top1= 97.5000
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0330 top1= 98.7500
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0405 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5167 top1= 84.5753


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4013 top1= 57.9127


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3859 top1= 68.0990

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.0544 top1= 98.7500
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0279 top1= 99.6875
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0367 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4605 top1= 86.0176


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3518 top1= 56.9511


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2300 top1= 70.5529

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0488 top1= 98.1250
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0143 top1=100.0000
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0320 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4137 top1= 87.6002


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0268 top1= 60.4667


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3253 top1= 69.8918

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0305 top1= 98.4375
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0193 top1= 99.6875
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0166 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4744 top1= 86.6987


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0059 top1= 62.6302


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4095 top1= 69.6414

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0118 top1=100.0000
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0114 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0069 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3994 top1= 88.7921


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0302 top1= 62.7804


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1447 top1= 74.3590

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0063 top1=100.0000
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0070 top1=100.0000
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0114 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3645 top1= 89.6334


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4363 top1= 70.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4775 top1= 70.8534

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0052 top1=100.0000
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0040 top1=100.0000
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0031 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3921 top1= 89.4932


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4298 top1= 70.4527


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.1125 top1= 77.1034

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0033 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0035 top1=100.0000
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0025 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3499 top1= 90.4147


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2536 top1= 74.4391


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8073 top1= 81.7007

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0046 top1=100.0000
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0043 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0024 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3392 top1= 91.1358


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2727 top1= 74.8097


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.8647 top1= 81.3101

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0019 top1=100.0000
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0032 top1=100.0000
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0019 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3239 top1= 91.5966


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1881 top1= 75.8213


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7423 top1= 83.1530

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0054 top1= 99.6875
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0039 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3258 top1= 91.7067


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1608 top1= 76.6827


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7494 top1= 83.5938

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0020 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3262 top1= 91.8670


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0841 top1= 77.8746


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7733 top1= 83.5837

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0017 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3195 top1= 92.2075


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9914 top1= 79.5272


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7499 top1= 83.9343

Train epoch 20
[E20B0  |    320/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E20B10 |   3520/60000 (  6%) ] Loss: 0.0014 top1=100.0000
[E20B20 |   6720/60000 ( 11%) ] Loss: 0.0014 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3201 top1= 92.3177


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9163 top1= 80.8393


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7264 top1= 84.4752

Train epoch 21
[E21B0  |    320/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E21B10 |   3520/60000 (  6%) ] Loss: 0.0012 top1=100.0000
[E21B20 |   6720/60000 ( 11%) ] Loss: 0.0013 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3202 top1= 92.3578


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8649 top1= 81.8009


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7060 top1= 85.0561

Train epoch 22
[E22B0  |    320/60000 (  1%) ] Loss: 0.0010 top1=100.0000
[E22B10 |   3520/60000 (  6%) ] Loss: 0.0011 top1=100.0000
[E22B20 |   6720/60000 ( 11%) ] Loss: 0.0012 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3212 top1= 92.4579


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8339 top1= 82.4419


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6887 top1= 85.5168

Train epoch 23
[E23B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E23B10 |   3520/60000 (  6%) ] Loss: 0.0010 top1=100.0000
[E23B20 |   6720/60000 ( 11%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3218 top1= 92.5080


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8111 top1= 82.9928


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6707 top1= 85.9675

Train epoch 24
[E24B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E24B10 |   3520/60000 (  6%) ] Loss: 0.0010 top1=100.0000
[E24B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3228 top1= 92.5280


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7919 top1= 83.5437


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6560 top1= 86.2179

Train epoch 25
[E25B0  |    320/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E25B10 |   3520/60000 (  6%) ] Loss: 0.0009 top1=100.0000
[E25B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3238 top1= 92.5581


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7748 top1= 83.8742


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6419 top1= 86.5084

Train epoch 26
[E26B0  |    320/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E26B10 |   3520/60000 (  6%) ] Loss: 0.0009 top1=100.0000
[E26B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3247 top1= 92.5581


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7576 top1= 84.3450


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6320 top1= 86.7588

Train epoch 27
[E27B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E27B10 |   3520/60000 (  6%) ] Loss: 0.0008 top1=100.0000
[E27B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3256 top1= 92.5781


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7405 top1= 84.7155


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6239 top1= 86.9992

Train epoch 28
[E28B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E28B10 |   3520/60000 (  6%) ] Loss: 0.0008 top1=100.0000
[E28B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3265 top1= 92.5781


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7246 top1= 85.0861


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6167 top1= 87.1995

Train epoch 29
[E29B0  |    320/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E29B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E29B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3275 top1= 92.6182


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7096 top1= 85.4667


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6101 top1= 87.3598

Train epoch 30
[E30B0  |    320/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E30B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E30B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3283 top1= 92.6182


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6959 top1= 85.7171


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6043 top1= 87.5000

