
=== 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 0x7f52f8e686d0>

Train epoch 1
[E 1B0  |    320/60000 (  1%) ] Loss: 2.2959 top1= 10.0000

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


[E 1B10 |   3520/60000 (  6%) ] Loss: 1.9214 top1= 46.5625
[E 1B20 |   6720/60000 ( 11%) ] Loss: 0.8657 top1= 72.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.4913 top1= 84.8357


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5029 top1= 83.5036


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5207 top1= 84.7756

Train epoch 2
[E 2B0  |    320/60000 (  1%) ] Loss: 0.6843 top1= 81.2500
[E 2B10 |   3520/60000 (  6%) ] Loss: 0.4189 top1= 86.2500
[E 2B20 |   6720/60000 ( 11%) ] Loss: 0.3883 top1= 89.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2899 top1= 91.5064


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2941 top1= 91.3261


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3060 top1= 91.0056

Train epoch 3
[E 3B0  |    320/60000 (  1%) ] Loss: 0.3535 top1= 88.7500
[E 3B10 |   3520/60000 (  6%) ] Loss: 0.2497 top1= 91.2500
[E 3B20 |   6720/60000 ( 11%) ] Loss: 0.2609 top1= 92.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2343 top1= 93.1490


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2340 top1= 93.1190


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2436 top1= 92.8786

Train epoch 4
[E 4B0  |    320/60000 (  1%) ] Loss: 0.2058 top1= 94.0625
[E 4B10 |   3520/60000 (  6%) ] Loss: 0.1575 top1= 95.6250
[E 4B20 |   6720/60000 ( 11%) ] Loss: 0.1641 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2059 top1= 93.8001


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2093 top1= 93.6799


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2108 top1= 93.7600

Train epoch 5
[E 5B0  |    320/60000 (  1%) ] Loss: 0.1321 top1= 95.6250
[E 5B10 |   3520/60000 (  6%) ] Loss: 0.1011 top1= 96.2500
[E 5B20 |   6720/60000 ( 11%) ] Loss: 0.1118 top1= 96.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2009 top1= 94.0004


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2007 top1= 93.9704


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2122 top1= 93.8201

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.0994 top1= 97.5000
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0633 top1= 98.7500
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0808 top1= 97.5000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1953 top1= 94.4511


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2023 top1= 94.1106


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2036 top1= 94.3109

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0827 top1= 97.8125
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0402 top1= 98.7500
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0467 top1= 98.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2132 top1= 94.1006


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2279 top1= 93.7500


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2195 top1= 93.8702

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.0872 top1= 96.8750
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0271 top1= 99.6875
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0366 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1977 top1= 94.5913


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1885 top1= 94.7216


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2198 top1= 93.9804

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0433 top1= 99.0625
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0357 top1= 99.0625
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0243 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1861 top1= 94.9219


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1905 top1= 94.9018


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1988 top1= 94.6715

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0553 top1= 98.4375
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0270 top1= 99.6875
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0291 top1= 99.3750

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1948 top1= 94.8417


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2089 top1= 94.6615


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1957 top1= 94.8417

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0213 top1= 99.6875
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0149 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0123 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1853 top1= 95.2825


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1939 top1= 94.9619


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1871 top1= 95.2324

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0133 top1= 99.6875
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0155 top1= 99.3750
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0058 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1867 top1= 95.3025


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1886 top1= 95.2424


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1925 top1= 95.2324

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0084 top1= 99.6875
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0093 top1=100.0000
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0043 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1985 top1= 95.4427


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1984 top1= 95.3626


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2014 top1= 95.3425

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0060 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0071 top1=100.0000
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0056 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2006 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2007 top1= 95.4127


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2022 top1= 95.5429

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0069 top1= 99.6875
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0023 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0037 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1991 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2024 top1= 95.3726


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1974 top1= 95.5329

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0052 top1=100.0000
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0026 top1=100.0000
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0029 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2069 top1= 95.5729


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2079 top1= 95.5228


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2068 top1= 95.5429

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0041 top1=100.0000
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0020 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0020 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2035 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2035 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2046 top1= 95.6230

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0013 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0013 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0016 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2063 top1= 95.6530


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2019 top1= 95.6731


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2139 top1= 95.4227

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0017 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0012 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2041 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2029 top1= 95.7232


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2057 top1= 95.6731

Train epoch 20
[E20B0  |    320/60000 (  1%) ] Loss: 0.0012 top1=100.0000
[E20B10 |   3520/60000 (  6%) ] Loss: 0.0011 top1=100.0000
[E20B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2070 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2063 top1= 95.7031


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2077 top1= 95.6230

Train epoch 21
[E21B0  |    320/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E21B10 |   3520/60000 (  6%) ] Loss: 0.0009 top1=100.0000
[E21B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2091 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2085 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2098 top1= 95.6430

Train epoch 22
[E22B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E22B10 |   3520/60000 (  6%) ] Loss: 0.0008 top1=100.0000
[E22B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2113 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2107 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2120 top1= 95.6430

Train epoch 23
[E23B0  |    320/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E23B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E23B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2134 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2128 top1= 95.6731


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2141 top1= 95.6430

Train epoch 24
[E24B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E24B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E24B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2152 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2146 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2158 top1= 95.6530

Train epoch 25
[E25B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E25B10 |   3520/60000 (  6%) ] Loss: 0.0006 top1=100.0000
[E25B20 |   6720/60000 ( 11%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2170 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2164 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2176 top1= 95.6731

Train epoch 26
[E26B0  |    320/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E26B10 |   3520/60000 (  6%) ] Loss: 0.0006 top1=100.0000
[E26B20 |   6720/60000 ( 11%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2186 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2181 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2192 top1= 95.6731

Train epoch 27
[E27B0  |    320/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E27B10 |   3520/60000 (  6%) ] Loss: 0.0005 top1=100.0000
[E27B20 |   6720/60000 ( 11%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2202 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2196 top1= 95.6731


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2208 top1= 95.6631

Train epoch 28
[E28B0  |    320/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E28B10 |   3520/60000 (  6%) ] Loss: 0.0005 top1=100.0000
[E28B20 |   6720/60000 ( 11%) ] Loss: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2216 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2211 top1= 95.6731


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2222 top1= 95.6530

Train epoch 29
[E29B0  |    320/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E29B10 |   3520/60000 (  6%) ] Loss: 0.0005 top1=100.0000
[E29B20 |   6720/60000 ( 11%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2230 top1= 95.6430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2225 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2236 top1= 95.6330

Train epoch 30
[E30B0  |    320/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E30B10 |   3520/60000 (  6%) ] Loss: 0.0004 top1=100.0000
[E30B20 |   6720/60000 ( 11%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2243 top1= 95.6430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2238 top1= 95.6530


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2248 top1= 95.6430

