
=== 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 0x7f76c1fd46d0>

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=0.4910 top1= 84.7857


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.5028 top1= 83.5537


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.5209 top1= 84.8057

Train epoch 2
[E 2B0  |    320/60000 (  1%) ] Loss: 0.6837 top1= 81.2500
[E 2B10 |   3520/60000 (  6%) ] Loss: 0.4216 top1= 85.9375
[E 2B20 |   6720/60000 ( 11%) ] Loss: 0.3928 top1= 88.1250

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2883 top1= 91.5665


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2912 top1= 91.4263


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.3052 top1= 91.0256

Train epoch 3
[E 3B0  |    320/60000 (  1%) ] Loss: 0.3513 top1= 88.7500
[E 3B10 |   3520/60000 (  6%) ] Loss: 0.2490 top1= 91.8750
[E 3B20 |   6720/60000 ( 11%) ] Loss: 0.2587 top1= 92.1875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2353 top1= 93.0889


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2350 top1= 93.0889


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2446 top1= 92.7784

Train epoch 4
[E 4B0  |    320/60000 (  1%) ] Loss: 0.2060 top1= 94.0625
[E 4B10 |   3520/60000 (  6%) ] Loss: 0.1562 top1= 95.6250
[E 4B20 |   6720/60000 ( 11%) ] Loss: 0.1660 top1= 95.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2057 top1= 93.8401


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2096 top1= 93.6198


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2104 top1= 93.8001

Train epoch 5
[E 5B0  |    320/60000 (  1%) ] Loss: 0.1352 top1= 95.3125
[E 5B10 |   3520/60000 (  6%) ] Loss: 0.0998 top1= 96.5625
[E 5B20 |   6720/60000 ( 11%) ] Loss: 0.1126 top1= 96.2500

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2018 top1= 94.0505


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1994 top1= 94.0304


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2151 top1= 93.6699

Train epoch 6
[E 6B0  |    320/60000 (  1%) ] Loss: 0.1072 top1= 97.1875
[E 6B10 |   3520/60000 (  6%) ] Loss: 0.0648 top1= 98.1250
[E 6B20 |   6720/60000 ( 11%) ] Loss: 0.0787 top1= 97.5000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1948 top1= 94.4111


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2015 top1= 94.1206


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2024 top1= 94.2909

Train epoch 7
[E 7B0  |    320/60000 (  1%) ] Loss: 0.0797 top1= 98.4375
[E 7B10 |   3520/60000 (  6%) ] Loss: 0.0399 top1= 99.0625
[E 7B20 |   6720/60000 ( 11%) ] Loss: 0.0457 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2102 top1= 94.1406


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2196 top1= 93.8201


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2210 top1= 93.8602

Train epoch 8
[E 8B0  |    320/60000 (  1%) ] Loss: 0.0856 top1= 97.5000
[E 8B10 |   3520/60000 (  6%) ] Loss: 0.0344 top1= 99.3750
[E 8B20 |   6720/60000 ( 11%) ] Loss: 0.0351 top1= 98.4375

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1937 top1= 94.6815


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1836 top1= 94.9319


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2182 top1= 94.0304

Train epoch 9
[E 9B0  |    320/60000 (  1%) ] Loss: 0.0435 top1= 98.7500
[E 9B10 |   3520/60000 (  6%) ] Loss: 0.0370 top1= 98.7500
[E 9B20 |   6720/60000 ( 11%) ] Loss: 0.0201 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1839 top1= 95.0421


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1940 top1= 94.9820


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1897 top1= 94.9519

Train epoch 10
[E10B0  |    320/60000 (  1%) ] Loss: 0.0459 top1= 99.0625
[E10B10 |   3520/60000 (  6%) ] Loss: 0.0188 top1=100.0000
[E10B20 |   6720/60000 ( 11%) ] Loss: 0.0240 top1= 99.0625

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2070 top1= 94.5212


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2237 top1= 94.2808


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2013 top1= 94.7216

Train epoch 11
[E11B0  |    320/60000 (  1%) ] Loss: 0.0281 top1= 99.0625
[E11B10 |   3520/60000 (  6%) ] Loss: 0.0174 top1= 99.6875
[E11B20 |   6720/60000 ( 11%) ] Loss: 0.0115 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1829 top1= 95.3726


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1918 top1= 95.0120


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1865 top1= 95.3425

Train epoch 12
[E12B0  |    320/60000 (  1%) ] Loss: 0.0120 top1= 99.6875
[E12B10 |   3520/60000 (  6%) ] Loss: 0.0140 top1=100.0000
[E12B20 |   6720/60000 ( 11%) ] Loss: 0.0076 top1= 99.6875

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1843 top1= 95.4828


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1881 top1= 95.3325


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1882 top1= 95.4026

Train epoch 13
[E13B0  |    320/60000 (  1%) ] Loss: 0.0116 top1= 99.6875
[E13B10 |   3520/60000 (  6%) ] Loss: 0.0098 top1= 99.6875
[E13B20 |   6720/60000 ( 11%) ] Loss: 0.0050 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1962 top1= 95.4527


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1943 top1= 95.5028


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2015 top1= 95.2925

Train epoch 14
[E14B0  |    320/60000 (  1%) ] Loss: 0.0070 top1=100.0000
[E14B10 |   3520/60000 (  6%) ] Loss: 0.0064 top1=100.0000
[E14B20 |   6720/60000 ( 11%) ] Loss: 0.0031 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2046 top1= 95.2123


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2051 top1= 95.2424


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2065 top1= 95.2224

Train epoch 15
[E15B0  |    320/60000 (  1%) ] Loss: 0.0059 top1=100.0000
[E15B10 |   3520/60000 (  6%) ] Loss: 0.0019 top1=100.0000
[E15B20 |   6720/60000 ( 11%) ] Loss: 0.0043 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2007 top1= 95.4928


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2065 top1= 95.3726


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1968 top1= 95.5228

Train epoch 16
[E16B0  |    320/60000 (  1%) ] Loss: 0.0062 top1=100.0000
[E16B10 |   3520/60000 (  6%) ] Loss: 0.0087 top1= 99.6875
[E16B20 |   6720/60000 ( 11%) ] Loss: 0.0034 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.1976 top1= 95.5829


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.1990 top1= 95.4728


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.1981 top1= 95.6731

Train epoch 17
[E17B0  |    320/60000 (  1%) ] Loss: 0.0021 top1=100.0000
[E17B10 |   3520/60000 (  6%) ] Loss: 0.0024 top1=100.0000
[E17B20 |   6720/60000 ( 11%) ] Loss: 0.0021 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2050 top1= 95.5429


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2071 top1= 95.5128


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2042 top1= 95.6030

Train epoch 18
[E18B0  |    320/60000 (  1%) ] Loss: 0.0034 top1=100.0000
[E18B10 |   3520/60000 (  6%) ] Loss: 0.0012 top1=100.0000
[E18B20 |   6720/60000 ( 11%) ] Loss: 0.0024 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2088 top1= 95.5128


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2025 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2196 top1= 95.2925

Train epoch 19
[E19B0  |    320/60000 (  1%) ] Loss: 0.0016 top1=100.0000
[E19B10 |   3520/60000 (  6%) ] Loss: 0.0015 top1=100.0000
[E19B20 |   6720/60000 ( 11%) ] Loss: 0.0018 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2062 top1= 95.7131


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2027 top1= 95.7432


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2115 top1= 95.6030

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

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2049 top1= 95.7632


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2043 top1= 95.7432


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2057 top1= 95.7232

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: 0.0011 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2079 top1= 95.7232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2070 top1= 95.7232


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2088 top1= 95.7131

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=0.2101 top1= 95.7031


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2093 top1= 95.7131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2111 top1= 95.7031

Train epoch 23
[E23B0  |    320/60000 (  1%) ] Loss: 0.0007 top1=100.0000
[E23B10 |   3520/60000 (  6%) ] Loss: 0.0007 top1=100.0000
[E23B20 |   6720/60000 ( 11%) ] Loss: 0.0009 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2121 top1= 95.7232


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2113 top1= 95.7131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2130 top1= 95.7031

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=0.2140 top1= 95.7131


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2132 top1= 95.7131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2148 top1= 95.7131

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=0.2157 top1= 95.7131


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2149 top1= 95.7131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2165 top1= 95.7232

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=0.2173 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2165 top1= 95.7031


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2181 top1= 95.7031

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=0.2188 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2181 top1= 95.7031


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2195 top1= 95.7031

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=0.2202 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2195 top1= 95.7131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2209 top1= 95.7031

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: 0.0006 top1=100.0000

=> Averaged model (Global Average Validation Accuracy) | Eval Loss=0.2215 top1= 95.6831


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2208 top1= 95.7031


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2222 top1= 95.6931

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=0.2228 top1= 95.6931


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=0.2222 top1= 95.6831


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=0.2235 top1= 95.6831

