
=== 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 0x7fe305fae6d0>

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= 90.9956

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: 0.1639 top1= 95.3125

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2059 top1= 93.8101


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2093 top1= 93.6599


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2109 top1= 93.7700

Train epoch 5
[E 5B0  |    320/60000 (  1%) ] Loss: 0.1319 top1= 95.6250
[E 5B10 |   3520/60000 (  6%) ] Loss: 0.1011 top1= 96.5625
[E 5B20 |   6720/60000 ( 11%) ] Loss: 0.1110 top1= 96.5625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2009 top1= 94.0304


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2000 top1= 94.0004


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2129 top1= 93.7800

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.1012 top1= 97.1875
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0629 top1= 98.7500
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0817 top1= 97.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1957 top1= 94.4311


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2030 top1= 94.1106


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2043 top1= 94.3309

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0828 top1= 97.8125
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0386 top1= 98.7500
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0451 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2146 top1= 94.0104


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2297 top1= 93.5897


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2223 top1= 93.8301

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.0969 top1= 96.2500
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0270 top1= 99.6875
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0380 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1957 top1= 94.6514


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1874 top1= 94.8417


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2162 top1= 93.9904

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0418 top1= 99.0625
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0443 top1= 98.4375
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0225 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1864 top1= 94.9319


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1921 top1= 94.8718


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1950 top1= 94.7716

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0522 top1= 98.4375
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0174 top1=100.0000
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0249 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1940 top1= 94.8818


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2056 top1= 94.7817


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1955 top1= 94.8718

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0218 top1= 99.6875
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0139 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0131 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1877 top1= 95.2424


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1986 top1= 94.7516


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1882 top1= 95.1923

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0166 top1= 99.6875
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0175 top1= 99.6875
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0056 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1865 top1= 95.4026


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1922 top1= 95.1723


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1912 top1= 95.3726

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0077 top1= 99.6875
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0059 top1=100.0000
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0047 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1985 top1= 95.4026


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1974 top1= 95.3626


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2016 top1= 95.3425

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0054 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0103 top1= 99.3750
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0046 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1999 top1= 95.4427


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2002 top1= 95.4327


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2007 top1= 95.4026

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0078 top1= 99.6875
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0034 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0033 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2011 top1= 95.4728


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2058 top1= 95.3526


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1987 top1= 95.5729

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0078 top1= 99.6875
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0052 top1= 99.6875
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0040 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1971 top1= 95.7031


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2001 top1= 95.5329


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1989 top1= 95.6330

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0037 top1=100.0000
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0015 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0022 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2051 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2061 top1= 95.6330


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2047 top1= 95.6330

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0022 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0013 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0019 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2086 top1= 95.6330


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2048 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2148 top1= 95.5329

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0014 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0011 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0016 top1=100.0000

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


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2054 top1= 95.6931


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2074 top1= 95.6731

Train epoch 20
[E20B0  |    320/60000 (  1%) ] Loss: 0.0011 top1=100.0000
[E20B10 |   3520/60000 (  6%) ] Loss: 0.0009 top1=100.0000
[E20B20 |   6720/60000 ( 11%) ] Loss: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2096 top1= 95.6430


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2088 top1= 95.6430


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2104 top1= 95.6330

Train epoch 21
[E21B0  |    320/60000 (  1%) ] Loss: 0.0009 top1=100.0000
[E21B10 |   3520/60000 (  6%) ] Loss: 0.0008 top1=100.0000
[E21B20 |   6720/60000 ( 11%) ] Loss: 0.0010 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2117 top1= 95.6731


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2110 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2125 top1= 95.6631

Train epoch 22
[E22B0  |    320/60000 (  1%) ] Loss: 0.0008 top1=100.0000
[E22B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E22B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2139 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2132 top1= 95.6731


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2147 top1= 95.6631

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=0.2159 top1= 95.6631


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2152 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2166 top1= 95.6530

Train epoch 24
[E24B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E24B10 |   3520/60000 (  6%) ] Loss: 0.0006 top1=100.0000
[E24B20 |   6720/60000 ( 11%) ] Loss: 0.0008 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2177 top1= 95.6530


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2170 top1= 95.6631


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2184 top1= 95.6530

Train epoch 25
[E25B0  |    320/60000 (  1%) ] Loss: 0.0006 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=0.2193 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2187 top1= 95.6530


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2200 top1= 95.6631

Train epoch 26
[E26B0  |    320/60000 (  1%) ] Loss: 0.0006 top1=100.0000
[E26B10 |   3520/60000 (  6%) ] Loss: 0.0005 top1=100.0000
[E26B20 |   6720/60000 ( 11%) ] Loss: 0.0007 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2209 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2203 top1= 95.6530


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2216 top1= 95.6430

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=0.2224 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2218 top1= 95.6530


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2231 top1= 95.6430

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=0.2238 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2232 top1= 95.6430


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2244 top1= 95.6631

Train epoch 29
[E29B0  |    320/60000 (  1%) ] Loss: 0.0005 top1=100.0000
[E29B10 |   3520/60000 (  6%) ] Loss: 0.0004 top1=100.0000
[E29B20 |   6720/60000 ( 11%) ] Loss: 0.0005 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2252 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2246 top1= 95.6430


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2258 top1= 95.6731

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=0.2264 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2259 top1= 95.6430


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2270 top1= 95.6831

