
=== 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 0x7f0e9667e6d0>

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=0.5876 top1= 82.1014


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.6805 top1= 56.0096


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.9201 top1= 60.8373

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.0554 top1= 99.0625
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0547 top1= 98.4375
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0509 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.8320 top1= 76.3321


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5536 top1= 58.7941


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.6402 top1= 63.3313

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0858 top1= 97.5000
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0330 top1= 98.4375
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0404 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.5191 top1= 84.5753


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.4087 top1= 57.9627


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3831 top1= 67.9988

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.0562 top1= 98.7500
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0274 top1= 99.6875
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0373 top1= 98.7500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4578 top1= 86.1078


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2904 top1= 57.3117


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.2204 top1= 70.6130

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0490 top1= 98.4375
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0144 top1=100.0000
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0304 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4164 top1= 87.4700


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0257 top1= 60.4868


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3247 top1= 69.8718

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0287 top1= 99.0625
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0238 top1= 99.0625
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0169 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4634 top1= 87.0292


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0304 top1= 62.0693


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.3937 top1= 70.1923

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0109 top1=100.0000
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0113 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0069 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4078 top1= 88.6318


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.0222 top1= 63.5116


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0493 top1= 75.9716

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0065 top1=100.0000
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0180 top1= 99.3750
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0182 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3864 top1= 89.0525


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.6081 top1= 69.1607


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.4418 top1= 70.9435

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0044 top1=100.0000
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0044 top1=100.0000
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0040 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3702 top1= 89.7336


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.4740 top1= 70.1623


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=1.0726 top1= 77.2035

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0043 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0042 top1=100.0000
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0033 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3310 top1= 90.9255


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.3948 top1= 72.0353


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9678 top1= 77.2937

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0031 top1=100.0000
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0029 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0021 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3291 top1= 91.1959


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.2317 top1= 74.7997


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.9229 top1= 79.9579

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0025 top1=100.0000
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0033 top1=100.0000
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3220 top1= 91.5865


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.1470 top1= 76.1118


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7901 top1= 82.4219

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0022 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0019 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3262 top1= 91.6567


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=1.0546 top1= 77.8746


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7826 top1= 83.1330

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0022 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0017 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3206 top1= 91.7969


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9881 top1= 79.2268


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7578 top1= 83.5837

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0015 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0015 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0015 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3200 top1= 92.0673


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.9168 top1= 80.6090


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7389 top1= 84.1246

Train epoch 20
[E20B0  |    320/60000 (  1%) ] Loss: 0.0013 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=0.3199 top1= 92.1575


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8687 top1= 81.5505


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.7178 top1= 84.5853

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3207 top1= 92.2175


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8380 top1= 82.2316


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6940 top1= 85.1262

Train epoch 22
[E22B0  |    320/60000 (  1%) ] Loss: 0.0011 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=0.3211 top1= 92.3077


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.8154 top1= 82.8025


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6746 top1= 85.5469

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3219 top1= 92.3678


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7948 top1= 83.2833


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6578 top1= 85.8874

Train epoch 24
[E24B0  |    320/60000 (  1%) ] Loss: 0.0010 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=0.3223 top1= 92.3578


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7761 top1= 83.7440


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6443 top1= 86.3181

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3230 top1= 92.4179


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7560 top1= 84.1847


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6345 top1= 86.4884

Train epoch 26
[E26B0  |    320/60000 (  1%) ] Loss: 0.0009 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=0.3235 top1= 92.4880


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7386 top1= 84.5252


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6255 top1= 86.7188

Train epoch 27
[E27B0  |    320/60000 (  1%) ] Loss: 0.0008 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=0.3241 top1= 92.5080


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7218 top1= 84.9860


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6181 top1= 86.9692

Train epoch 28
[E28B0  |    320/60000 (  1%) ] Loss: 0.0008 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=0.3245 top1= 92.5381


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.7053 top1= 85.3566


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6113 top1= 87.1494

Train epoch 29
[E29B0  |    320/60000 (  1%) ] Loss: 0.0007 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=0.3250 top1= 92.5781


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6909 top1= 85.6370


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.6053 top1= 87.3197

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.3254 top1= 92.5982


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.6776 top1= 85.9976


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5995 top1= 87.5501

