Nameexact_genome_1512568488_45_7100_1
Workunit2606707
Created7 Dec 2017, 23:49:15 UTC
Sent7 Dec 2017, 23:52:36 UTC
Report deadline15 Dec 2017, 0:23:23 UTC
Received8 Dec 2017, 13:25:21 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 12 min 54 sec
CPU time2 hours 48 min 14 sec
Validate stateValid
Credit1,755.35
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size155.45 MB
Peak swap size158.43 MB
Peak disk usage1.96 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
ward_time: 9.6330118179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4539403915
validation[          , genome  7100] predictions:    9725/  10000 (97.25%), best:    9725/10000 (97.25%), error:       895.32190, best error:       895.32190 on epoch:    14, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 134.3994598389s, input_fired_time: 1.1462707520, output_fired_time: 1.2331264019, propagate_forward_time: 54.1517524719, propagate_backward_time: 73.5408096313, weight_update_time: 0.3780411780, other_time: 4.3275070190
epoch time: 10.2052087784s, input_fired_time: 0.6357610226, output_fired_time: 0.0000000000, propagate_forward_time: 8.8695545197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6998929977
validation[          , genome  7100] predictions:    9689/  10000 (96.89%), best:    9725/10000 (97.25%), error:       984.93463, best error:       895.32190 on epoch:    14, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 135.8598632813s, input_fired_time: 1.4063130617, output_fired_time: 1.2445774078, propagate_forward_time: 50.6962738037, propagate_backward_time: 78.9030761719, weight_update_time: 0.1290376633, other_time: 3.6096191406
epoch time: 12.0130290985s, input_fired_time: 0.1522424370, output_fired_time: 0.0000000000, propagate_forward_time: 10.8293218613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0314645767
validation[          , genome  7100] predictions:    9717/  10000 (97.17%), best:    9725/10000 (97.25%), error:       933.96802, best error:       895.32190 on epoch:    14, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 139.7684631348s, input_fired_time: 1.4252047539, output_fired_time: 1.2703421116, propagate_forward_time: 50.0811767578, propagate_backward_time: 83.5961685181, weight_update_time: 0.3817481101, other_time: 3.3955764771
epoch time: 9.0361270905s, input_fired_time: 0.1253292561, output_fired_time: 0.0000000000, propagate_forward_time: 8.4961071014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4146909714
validation[          , genome  7100] predictions:    9717/  10000 (97.17%), best:    9725/10000 (97.25%), error:       961.28619, best error:       895.32190 on epoch:    14, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 127.4607009888s, input_fired_time: 1.6148954630, output_fired_time: 1.4373786449, propagate_forward_time: 46.5862121582, propagate_backward_time: 74.5854187012, weight_update_time: 0.1228884533, other_time: 3.2367935181
epoch time: 9.8834915161s, input_fired_time: 0.1337624639, output_fired_time: 0.0000000000, propagate_forward_time: 9.0589313507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6907978058
validation[          , genome  7100] predictions:    9613/  10000 (96.13%), best:    9725/10000 (97.25%), error:      1310.75330, best error:       895.32190 on epoch:    14, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 128.3922271729s, input_fired_time: 1.6203562021, output_fired_time: 0.9445183277, propagate_forward_time: 48.8202438354, propagate_backward_time: 73.5150070190, weight_update_time: 0.1231526658, other_time: 3.4921035767
epoch time: 9.4915580750s, input_fired_time: 0.1307718903, output_fired_time: 0.0000000000, propagate_forward_time: 8.9289865494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4317998886
validation[          , genome  7100] predictions:    9730/  10000 (97.30%), best:    9725/10000 (97.25%), error:       914.33508, best error:       895.32190 on epoch:    14, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 124.4208145142s, input_fired_time: 1.1283389330, output_fired_time: 0.9554252625, propagate_forward_time: 45.1088867188, propagate_backward_time: 74.4683837891, weight_update_time: 0.1241920441, other_time: 2.7597808838
epoch time: 6.4699258804s, input_fired_time: 0.1233799905, output_fired_time: 0.0000000000, propagate_forward_time: 5.9476628304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3988828659
validation[          , genome  7100] predictions:    9690/  10000 (96.90%), best:    9725/10000 (97.25%), error:      1004.97864, best error:       895.32190 on epoch:    14, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 88.9538269043s, input_fired_time: 1.0715824366, output_fired_time: 0.8769393563, propagate_forward_time: 32.5038375854, propagate_backward_time: 52.1566772461, weight_update_time: 0.1152523980, other_time: 2.3447952271
epoch time: 7.2687735558s, input_fired_time: 0.1324061751, output_fired_time: 0.0000000000, propagate_forward_time: 6.7064576149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4299097061
validation[          , genome  7100] predictions:    9722/  10000 (97.22%), best:    9725/10000 (97.25%), error:       931.84875, best error:       895.32190 on epoch:    14, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 87.2446594238s, input_fired_time: 1.0610815287, output_fired_time: 0.8655536771, propagate_forward_time: 31.8858757019, propagate_backward_time: 51.1158943176, weight_update_time: 0.1137747616, other_time: 2.3162536621
epoch time: 6.5103673935s, input_fired_time: 0.1232673526, output_fired_time: 0.0000000000, propagate_forward_time: 5.9877767563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3993234634
validation[          , genome  7100] predictions:    9739/  10000 (97.39%), best:    9739/10000 (97.39%), error:       847.64227, best error:       847.64227 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 88.6205520630s, input_fired_time: 1.0725175142, output_fired_time: 0.8783144951, propagate_forward_time: 32.4482650757, propagate_backward_time: 51.8890495300, weight_update_time: 0.1142453104, other_time: 2.3324089050
epoch time: 7.5929193497s, input_fired_time: 0.1364991516, output_fired_time: 0.0000000000, propagate_forward_time: 7.0143299103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4420905113
validation[          , genome  7100] predictions:    9730/  10000 (97.30%), best:    9739/10000 (97.39%), error:       938.43939, best error:       847.64227 on epoch:    22, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 88.5938720703s, input_fired_time: 1.0730392933, output_fired_time: 0.8780760169, propagate_forward_time: 32.5085105896, propagate_backward_time: 51.7951736450, weight_update_time: 0.1151443943, other_time: 2.3390769958
epoch time: 6.1953673363s, input_fired_time: 0.1178585142, output_fired_time: 0.0000000000, propagate_forward_time: 5.6890239716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3884849548
validation[          , genome  7100] predictions:    9712/  10000 (97.12%), best:    9739/10000 (97.39%), error:       892.39484, best error:       847.64227 on epoch:    22, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 86.6592636108s, input_fired_time: 1.0599114895, output_fired_time: 0.8592875600, propagate_forward_time: 31.6304664612, propagate_backward_time: 50.8080062866, weight_update_time: 0.1131250858, other_time: 2.3015861511
epoch time: 6.0733842850s, input_fired_time: 0.1183326766, output_fired_time: 0.0000000000, propagate_forward_time: 5.5721697807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3828816414
validation[          , genome  7100] predictions:    9716/  10000 (97.16%), best:    9739/10000 (97.39%), error:       902.28088, best error:       847.64227 on epoch:    22, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 87.4763488770s, input_fired_time: 1.0644301176, output_fired_time: 0.8661432266, propagate_forward_time: 31.9864025116, propagate_backward_time: 51.2422027588, weight_update_time: 0.1134685576, other_time: 2.3171691895
epoch time: 7.2299637794s, input_fired_time: 0.1320268214, output_fired_time: 0.0000000000, propagate_forward_time: 6.6694545746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4284825325
validation[          , genome  7100] predictions:    9721/  10000 (97.21%), best:    9739/10000 (97.39%), error:       888.25592, best error:       847.64227 on epoch:    22, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 91.3039321899s, input_fired_time: 1.0892187357, output_fired_time: 0.9020070434, propagate_forward_time: 33.4889640808, propagate_backward_time: 53.4360122681, weight_update_time: 0.1180080250, other_time: 2.3877296448
epoch time: 6.9323449135s, input_fired_time: 0.1290617585, output_fired_time: 0.0000000000, propagate_forward_time: 6.3868923187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4163908958
validation[          , genome  7100] predictions:    9712/  10000 (97.12%), best:    9739/10000 (97.39%), error:       912.96960, best error:       847.64227 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 88.3802719116s, input_fired_time: 1.0727951527, output_fired_time: 0.8756040931, propagate_forward_time: 32.3630371094, propagate_backward_time: 51.7276229858, weight_update_time: 0.1151274964, other_time: 2.3412170410
epoch time: 6.6070127487s, input_fired_time: 0.1258575767, output_fired_time: 0.0000000000, propagate_forward_time: 6.0755014420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4056539536
validation[          , genome  7100] predictions:    9759/  10000 (97.59%), best:    9759/10000 (97.59%), error:       815.59711, best error:       815.59711 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 85.1052322388s, input_fired_time: 1.0521229506, output_fired_time: 0.8482451439, propagate_forward_time: 30.9456195831, propagate_backward_time: 49.9868965149, weight_update_time: 0.1113724709, other_time: 2.2723503113
epoch time: 6.6056942940s, input_fired_time: 0.1253927350, output_fired_time: 0.0000000000, propagate_forward_time: 6.0763239861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4039773941
validation[          , genome  7100] predictions:    9734/  10000 (97.34%), best:    9759/10000 (97.59%), error:       868.25201, best error:       815.59711 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 89.6931152344s, input_fired_time: 1.0805274248, output_fired_time: 0.8838789463, propagate_forward_time: 32.7914237976, propagate_backward_time: 52.5775680542, weight_update_time: 0.1159733757, other_time: 2.3597145081
epoch time: 7.4767036438s, input_fired_time: 0.1351772100, output_fired_time: 0.0000000000, propagate_forward_time: 6.9043102264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4372162819
validation[          , genome  7100] predictions:    9641/  10000 (96.41%), best:    9759/10000 (97.59%), error:      1178.15015, best error:       815.59711 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 89.0928955078s, input_fired_time: 1.0792080164, output_fired_time: 0.8825871944, propagate_forward_time: 32.6164169312, propagate_backward_time: 52.1624526978, weight_update_time: 0.1156179905, other_time: 2.3522338867
epoch time: 6.9963445663s, input_fired_time: 0.1296423972, output_fired_time: 0.0000000000, propagate_forward_time: 6.4472398758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4194622040
validation[          , genome  7100] predictions:    9724/  10000 (97.24%), best:    9759/10000 (97.59%), error:       857.18927, best error:       815.59711 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 90.1099777222s, input_fired_time: 1.0879672766, output_fired_time: 0.8906188011, propagate_forward_time: 33.0389213562, propagate_backward_time: 52.7271957397, weight_update_time: 0.1163942590, other_time: 2.3652763367
epoch time: 6.9550099373s, input_fired_time: 0.1299695969, output_fired_time: 0.0000000000, propagate_forward_time: 6.4111142159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4139261246
validation[          , genome  7100] predictions:    9732/  10000 (97.32%), best:    9759/10000 (97.59%), error:       903.08472, best error:       815.59711 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 88.8977355957s, input_fired_time: 1.0782921314, output_fired_time: 0.8785386682, propagate_forward_time: 32.5194435120, propagate_backward_time: 52.0762367249, weight_update_time: 0.1153302938, other_time: 2.3452224731
epoch time: 7.0414838791s, input_fired_time: 0.1312208623, output_fired_time: 0.0000000000, propagate_forward_time: 6.4896888733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4205741882
validation[          , genome  7100] predictions:    9754/  10000 (97.54%), best:    9754/10000 (97.54%), error:       800.22577, best error:       800.22577 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 90.3662185669s, input_fired_time: 1.0884221792, output_fired_time: 0.8906233311, propagate_forward_time: 33.1274147034, propagate_backward_time: 52.8890876770, weight_update_time: 0.1168494150, other_time: 2.3706665039
epoch time: 7.4294929504s, input_fired_time: 0.1352826804, output_fired_time: 0.0000000000, propagate_forward_time: 6.8580374718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4361729622
validation[          , genome  7100] predictions:    9767/  10000 (97.67%), best:    9767/10000 (97.67%), error:       782.87457, best error:       782.87457 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 92.3954162598s, input_fired_time: 1.1005694866, output_fired_time: 0.9118985534, propagate_forward_time: 33.8251609802, propagate_backward_time: 54.1488609314, weight_update_time: 0.1190904304, other_time: 2.4089279175
epoch time: 6.2362680435s, input_fired_time: 0.1217415705, output_fired_time: 0.0000000000, propagate_forward_time: 5.7226681709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3918581009
validation[          , genome  7100] predictions:    9732/  10000 (97.32%), best:    9767/10000 (97.67%), error:       816.78778, best error:       782.87457 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 84.3737487793s, input_fired_time: 1.0506269932, output_fired_time: 0.8377843499, propagate_forward_time: 30.6944885254, propagate_backward_time: 49.5210113525, weight_update_time: 0.1106285378, other_time: 2.2698364258
epoch time: 7.9742569923s, input_fired_time: 0.1423422247, output_fired_time: 0.0000000000, propagate_forward_time: 7.3757019043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4562129974
validation[          , genome  7100] predictions:    9717/  10000 (97.17%), best:    9767/10000 (97.67%), error:       905.05707, best error:       782.87457 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 85.9721527100s, input_fired_time: 1.0624310970, output_fired_time: 0.8522025347, propagate_forward_time: 31.3019924164, propagate_backward_time: 50.4601478577, weight_update_time: 0.1123058498, other_time: 2.2953758240
epoch time: 6.6170516014s, input_fired_time: 0.1253502369, output_fired_time: 0.0000000000, propagate_forward_time: 6.0892119408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4024891853
validation[          , genome  7100] predictions:    9718/  10000 (97.18%), best:    9767/10000 (97.67%), error:       913.94092, best error:       782.87457 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 86.7407150269s, input_fired_time: 1.0705322027, output_fired_time: 0.8625801802, propagate_forward_time: 31.6485862732, propagate_backward_time: 50.8564910889, weight_update_time: 0.1133574471, other_time: 2.3025245667
epoch time: 6.3424572945s, input_fired_time: 0.1234327406, output_fired_time: 0.0000000000, propagate_forward_time: 5.8251709938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3938536644
validation[          , genome  7100] predictions:    9719/  10000 (97.19%), best:    9767/10000 (97.67%), error:       890.86627, best error:       782.87457 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 84.9814224243s, input_fired_time: 1.0599135160, output_fired_time: 0.8465681076, propagate_forward_time: 30.9486007690, propagate_backward_time: 49.8533782959, weight_update_time: 0.1114835590, other_time: 2.2729644775
epoch time: 5.9346570969s, input_fired_time: 0.1176347807, output_fired_time: 0.0000000000, propagate_forward_time: 5.4366774559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3803448677
validation[          , genome  7100] predictions:    9729/  10000 (97.29%), best:    9767/10000 (97.67%), error:       859.38446, best error:       782.87457 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 84.8998489380s, input_fired_time: 1.0577886105, output_fired_time: 0.8433743715, propagate_forward_time: 30.9044570923, propagate_backward_time: 49.8198471069, weight_update_time: 0.1113048270, other_time: 2.2743835449
epoch time: 7.5927343369s, input_fired_time: 0.1378406733, output_fired_time: 0.0000000000, propagate_forward_time: 7.0174436569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4374499321
validation[          , genome  7100] predictions:    9720/  10000 (97.20%), best:    9767/10000 (97.67%), error:       909.70050, best error:       782.87457 on epoch:    34, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 86.6855545044s, input_fired_time: 1.0681353807, output_fired_time: 0.8591620326, propagate_forward_time: 31.6242294312, propagate_backward_time: 50.8230972290, weight_update_time: 0.1132273972, other_time: 2.3109283447
epoch time: 7.5733399391s, input_fired_time: 0.1384750307, output_fired_time: 0.0000000000, propagate_forward_time: 6.9928197861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4420452118
validation[          , genome  7100] predictions:    9731/  10000 (97.31%), best:    9767/10000 (97.67%), error:       889.76105, best error:       782.87457 on epoch:    34, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 87.6096878052s, input_fired_time: 1.0781453848, output_fired_time: 0.8684369326, propagate_forward_time: 31.9857044220, propagate_backward_time: 51.3522377014, weight_update_time: 0.1140333340, other_time: 2.3251609802
epoch time: 6.0375981331s, input_fired_time: 0.1200151220, output_fired_time: 0.0000000000, propagate_forward_time: 5.5361227989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3814601898
validation[          , genome  7100] predictions:    9725/  10000 (97.25%), best:    9767/10000 (97.67%), error:       865.14288, best error:       782.87457 on epoch:    34, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 89.1182479858s, input_fired_time: 1.0867094994, output_fired_time: 0.8802286983, propagate_forward_time: 32.5907096863, propagate_backward_time: 52.2117195129, weight_update_time: 0.1151566878, other_time: 2.3488845825
epoch time: 7.8135743141s, input_fired_time: 0.1420196593, output_fired_time: 0.0000000000, propagate_forward_time: 7.2215738297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4499807358
validation[          , genome  7100] predictions:    9761/  10000 (97.61%), best:    9767/10000 (97.67%), error:       845.55658, best error:       782.87457 on epoch:    34, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 91.5748214722s, input_fired_time: 1.1014467478, output_fired_time: 0.9026253223, propagate_forward_time: 33.6277809143, propagate_backward_time: 53.5499839783, weight_update_time: 0.1181288585, other_time: 2.3929824829
epoch time: 6.7299003601s, input_fired_time: 0.1277864128, output_fired_time: 0.0000000000, propagate_forward_time: 6.1951246262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4069890976
validation[          , genome  7100] predictions:    9761/  10000 (97.61%), best:    9767/10000 (97.67%), error:       808.67395, best error:       782.87457 on epoch:    34, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 90.2995300293s, input_fired_time: 1.0964881182, output_fired_time: 0.8920534849, propagate_forward_time: 33.1210556030, propagate_backward_time: 52.8174934387, weight_update_time: 0.1166312769, other_time: 2.3724403381
epoch time: 7.5359182358s, input_fired_time: 0.1372851282, output_fired_time: 0.0000000000, propagate_forward_time: 6.9593768120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4392561913
validation[          , genome  7100] predictions:    9743/  10000 (97.43%), best:    9767/10000 (97.67%), error:       854.40350, best error:       782.87457 on epoch:    34, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 92.5383300781s, input_fired_time: 1.1138631105, output_fired_time: 0.9051190615, propagate_forward_time: 34.1181526184, propagate_backward_time: 53.9862022400, weight_update_time: 0.1192158684, other_time: 2.4149932861
epoch time: 7.3251757622s, input_fired_time: 0.1364182681, output_fired_time: 0.0000000000, propagate_forward_time: 6.7584447861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4303126335
validation[          , genome  7100] predictions:    9733/  10000 (97.33%), best:    9767/10000 (97.67%), error:       852.21173, best error:       782.87457 on epoch:    34, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 92.6944198608s, input_fired_time: 1.1164057255, output_fired_time: 0.9086784124, propagate_forward_time: 34.1396446228, propagate_backward_time: 54.1017341614, weight_update_time: 0.1200012639, other_time: 2.4279556274
epoch time: 7.7777075768s, input_fired_time: 0.1412639022, output_fired_time: 0.0000000000, propagate_forward_time: 7.1873955727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4490480423
validation[          , genome  7100] predictions:    9714/  10000 (97.14%), best:    9767/10000 (97.67%), error:       851.22577, best error:       782.87457 on epoch:    34, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 90.1514282227s, input_fired_time: 1.1002259254, output_fired_time: 0.8864532113, propagate_forward_time: 33.1632690430, propagate_backward_time: 52.6241416931, weight_update_time: 0.1170280278, other_time: 2.3773384094
epoch time: 7.2634239197s, input_fired_time: 0.1366876066, output_fired_time: 0.0000000000, propagate_forward_time: 6.6971840858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4295520782
validation[          , genome  7100] predictions:    9740/  10000 (97.40%), best:    9767/10000 (97.67%), error:       832.62946, best error:       782.87457 on epoch:    34, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 89.8323974609s, input_fired_time: 1.0957797766, output_fired_time: 0.8888546228, propagate_forward_time: 32.9089469910, propagate_backward_time: 52.5714111328, weight_update_time: 0.1161417887, other_time: 2.3674049377
epoch time: 6.6117877960s, input_fired_time: 0.1277925223, output_fired_time: 0.0000000000, propagate_forward_time: 6.0801339149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4038615227
validation[          , genome  7100] predictions:    9684/  10000 (96.84%), best:    9767/10000 (97.67%), error:      1039.61719, best error:       782.87457 on epoch:    34, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 88.9029846191s, input_fired_time: 1.0931738615, output_fired_time: 0.8827064037, propagate_forward_time: 32.5649261475, propagate_backward_time: 52.0102310181, weight_update_time: 0.1159497947, other_time: 2.3519515991
epoch time: 7.6314034462s, input_fired_time: 0.1399209499, output_fired_time: 0.0000000000, propagate_forward_time: 7.0468983650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4445843697
validation[          , genome  7100] predictions:    9748/  10000 (97.48%), best:    9767/10000 (97.67%), error:       816.34680, best error:       782.87457 on epoch:    34, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 127.3941040039s, input_fired_time: 1.4003028870, output_fired_time: 0.9573835731, propagate_forward_time: 49.8475189209, propagate_backward_time: 71.4253540039, weight_update_time: 0.1246246770, other_time: 3.7635498047
epoch time: 11.6051893234s, input_fired_time: 0.4021433890, output_fired_time: 0.0000000000, propagate_forward_time: 10.7165431976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4865026474
validation[          , genome  7100] predictions:    9724/  10000 (97.24%), best:    9767/10000 (97.67%), error:       879.35345, best error:       782.87457 on epoch:    34, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 133.9806060791s, input_fired_time: 2.1694822311, output_fired_time: 1.2317353487, propagate_forward_time: 48.7505035400, propagate_backward_time: 78.5085296631, weight_update_time: 0.1281759292, other_time: 3.3203582764
epoch time: 10.8875551224s, input_fired_time: 0.1464167684, output_fired_time: 0.0000000000, propagate_forward_time: 10.0224380493, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7187004089
validation[          , genome  7100] predictions:    9711/  10000 (97.11%), best:    9767/10000 (97.67%), error:       914.59698, best error:       782.87457 on epoch:    34, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 136.0112609863s, input_fired_time: 1.1791599989, output_fired_time: 1.9973722696, propagate_forward_time: 51.7220840454, propagate_backward_time: 78.2676544189, weight_update_time: 0.1294477433, other_time: 2.8449935913
epoch time: 10.0053682327s, input_fired_time: 0.1385221481, output_fired_time: 0.0000000000, propagate_forward_time: 8.9228219986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9440240860
validation[          , genome  7100] predictions:    9748/  10000 (97.48%), best:    9767/10000 (97.67%), error:       854.63715, best error:       782.87457 on epoch:    34, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 122.9752273560s, input_fired_time: 1.3651132584, output_fired_time: 1.4108948708, propagate_forward_time: 49.9131278992, propagate_backward_time: 67.6192245483, weight_update_time: 0.1187718883, other_time: 2.6668624878
epoch time: 9.3684520721s, input_fired_time: 0.1346754134, output_fired_time: 0.0000000000, propagate_forward_time: 8.8054304123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4283466339
validation[          , genome  7100] predictions:    9753/  10000 (97.53%), best:    9767/10000 (97.67%), error:       796.65131, best error:       782.87457 on epoch:    34, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 126.9870910645s, input_fired_time: 1.1364197731, output_fired_time: 0.9327702522, propagate_forward_time: 46.6019439697, propagate_backward_time: 75.0870361328, weight_update_time: 0.1224926636, other_time: 3.2289199829
epoch time: 10.4268112183s, input_fired_time: 0.1450251341, output_fired_time: 0.0000000000, propagate_forward_time: 9.8240737915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4577121735
validation[          , genome  7100] predictions:    9740/  10000 (97.40%), best:    9767/10000 (97.67%), error:       878.78021, best error:       782.87457 on epoch:    34, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 127.6397781372s, input_fired_time: 1.1394541264, output_fired_time: 0.9401834607, propagate_forward_time: 51.8284950256, propagate_backward_time: 70.4934387207, weight_update_time: 0.3731889129, other_time: 3.2382049561
epoch time: 10.1456851959s, input_fired_time: 0.1411563754, output_fired_time: 0.0000000000, propagate_forward_time: 9.5570116043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4475173950
validation[          , genome  7100] predictions:    9717/  10000 (97.17%), best:    9767/10000 (97.67%), error:       859.52234, best error:       782.87457 on epoch:    34, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 132.2312622070s, input_fired_time: 1.1646637917, output_fired_time: 0.9717597365, propagate_forward_time: 53.0880317688, propagate_backward_time: 73.2082061768, weight_update_time: 0.1267187893, other_time: 3.7986145020
epoch time: 10.1225624084s, input_fired_time: 0.1413289905, output_fired_time: 0.0000000000, propagate_forward_time: 9.5340709686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4471626282
validation[          , genome  7100] predictions:    9747/  10000 (97.47%), best:    9767/10000 (97.67%), error:       832.50861, best error:       782.87457 on epoch:    34, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 130.9587249756s, input_fired_time: 1.6585658789, output_fired_time: 1.7103568316, propagate_forward_time: 47.6241226196, propagate_backward_time: 77.4311752319, weight_update_time: 0.1256128252, other_time: 2.5345001221
epoch time: 11.7146692276s, input_fired_time: 0.4047025442, output_fired_time: 0.0000000000, propagate_forward_time: 10.8214073181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4885597229
validation[          , genome  7100] predictions:    9702/  10000 (97.02%), best:    9767/10000 (97.67%), error:       944.87445, best error:       782.87457 on epoch:    34, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 128.3588867188s, input_fired_time: 1.8964468241, output_fired_time: 1.1933661699, propagate_forward_time: 48.5417556763, propagate_backward_time: 72.4748229980, weight_update_time: 0.1230871305, other_time: 4.2524948120
epoch time: 8.9359865189s, input_fired_time: 0.1306843013, output_fired_time: 0.0000000000, propagate_forward_time: 7.8930225372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9122800827
validation[          , genome  7100] predictions:    9696/  10000 (96.96%), best:    9767/10000 (97.67%), error:       956.38245, best error:       782.87457 on epoch:    34, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 123.7553176880s, input_fired_time: 1.3754191399, output_fired_time: 1.4140902758, propagate_forward_time: 48.4185523987, propagate_backward_time: 69.3587265015, weight_update_time: 0.1201589480, other_time: 3.1885299683
epoch time: 9.5136337280s, input_fired_time: 0.1337850243, output_fired_time: 0.0000000000, propagate_forward_time: 8.7039833069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6758651733
validation[          , genome  7100] predictions:    9755/  10000 (97.55%), best:    9767/10000 (97.67%), error:       799.12268, best error:       782.87457 on epoch:    34, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 107.4887466431s, input_fired_time: 1.3782321215, output_fired_time: 0.8972515464, propagate_forward_time: 41.4880752563, propagate_backward_time: 60.8312950134, weight_update_time: 0.1178928986, other_time: 2.8938865662
epoch time: 6.8360857964s, input_fired_time: 0.1321629882, output_fired_time: 0.0000000000, propagate_forward_time: 6.2938704491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4100522995
validation[          , genome  7100] predictions:    9754/  10000 (97.54%), best:    9767/10000 (97.67%), error:       813.91028, best error:       782.87457 on epoch:    34, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 88.0019836426s, input_fired_time: 1.0916736126, output_fired_time: 0.8697310686, propagate_forward_time: 32.1737556458, propagate_backward_time: 51.5340538025, weight_update_time: 0.1143906862, other_time: 2.3327713013
epoch time: 6.2876086235s, input_fired_time: 0.1258355975, output_fired_time: 0.0000000000, propagate_forward_time: 5.7729802132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3887929916
validation[          , genome  7100] predictions:    9741/  10000 (97.41%), best:    9767/10000 (97.67%), error:       791.83929, best error:       782.87457 on epoch:    34, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 82.0487823486s, input_fired_time: 1.0534634590, output_fired_time: 0.8221721053, propagate_forward_time: 29.7414340973, propagate_backward_time: 48.2145309448, weight_update_time: 0.1082323119, other_time: 2.2171783447
epoch time: 5.4681510925s, input_fired_time: 0.1158171520, output_fired_time: 0.0000000000, propagate_forward_time: 4.9939227104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3584113121
validation[          , genome  7100] predictions:    9736/  10000 (97.36%), best:    9767/10000 (97.67%), error:       824.65070, best error:       782.87457 on epoch:    34, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 86.6355590820s, input_fired_time: 1.0875165462, output_fired_time: 0.8626857400, propagate_forward_time: 31.5692291260, propagate_backward_time: 50.8242492676, weight_update_time: 0.1125311032, other_time: 2.2918777466
epoch time: 5.6620740891s, input_fired_time: 0.1185353771, output_fired_time: 0.0000000000, propagate_forward_time: 5.1779689789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3655695915
validation[          , genome  7100] predictions:    9733/  10000 (97.33%), best:    9767/10000 (97.67%), error:       876.27643, best error:       782.87457 on epoch:    34, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 86.5390548706s, input_fired_time: 1.0857353210, output_fired_time: 0.8598600030, propagate_forward_time: 31.5916976929, propagate_backward_time: 50.7031974792, weight_update_time: 0.1124102697, other_time: 2.2985649109
epoch time: 6.3909101486s, input_fired_time: 0.1275380254, output_fired_time: 0.0000000000, propagate_forward_time: 5.8668346405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3965373039
validation[          , genome  7100] predictions:    9783/  10000 (97.83%), best:    9783/10000 (97.83%), error:       716.47986, best error:       716.47986 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 89.2344512939s, input_fired_time: 1.1062407494, output_fired_time: 0.8841804266, propagate_forward_time: 32.6202964783, propagate_backward_time: 52.2777328491, weight_update_time: 0.1158668250, other_time: 2.3460044861
epoch time: 6.0453996658s, input_fired_time: 0.1230666265, output_fired_time: 0.0000000000, propagate_forward_time: 5.5407009125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3816323280
validation[          , genome  7100] predictions:    9725/  10000 (97.25%), best:    9783/10000 (97.83%), error:       847.47784, best error:       716.47986 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 79.5817489624s, input_fired_time: 1.0419658422, output_fired_time: 0.7969012260, propagate_forward_time: 28.7094745636, propagate_backward_time: 46.8532066345, weight_update_time: 0.1059651226, other_time: 2.1802024841
epoch time: 5.6667065620s, input_fired_time: 0.1184355468, output_fired_time: 0.0000000000, propagate_forward_time: 5.1808629036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3674082756
validation[          , genome  7100] predictions:    9771/  10000 (97.71%), best:    9783/10000 (97.83%), error:       747.58630, best error:       716.47986 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 83.9759750366s, input_fired_time: 1.0716085434, output_fired_time: 0.8361827731, propagate_forward_time: 30.5222854614, propagate_backward_time: 49.2903518677, weight_update_time: 0.1104298085, other_time: 2.2555465698
epoch time: 7.1146483421s, input_fired_time: 0.1368857324, output_fired_time: 0.0000000000, propagate_forward_time: 6.5553765297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4223861694
validation[          , genome  7100] predictions:    9732/  10000 (97.32%), best:    9783/10000 (97.83%), error:       833.73407, best error:       716.47986 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 80.0258407593s, input_fired_time: 1.0462844372, output_fired_time: 0.8029054999, propagate_forward_time: 28.8824462891, propagate_backward_time: 47.1063117981, weight_update_time: 0.1062308699, other_time: 2.1878929138
epoch time: 5.3138623238s, input_fired_time: 0.1151105985, output_fired_time: 0.0000000000, propagate_forward_time: 4.8435363770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3552155495
validation[          , genome  7100] predictions:    9734/  10000 (97.34%), best:    9783/10000 (97.83%), error:       846.28381, best error:       716.47986 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 86.6630935669s, input_fired_time: 1.0918977261, output_fired_time: 0.8607707024, propagate_forward_time: 31.6019248962, propagate_backward_time: 50.8061561584, weight_update_time: 0.1129284278, other_time: 2.3023452759
epoch time: 5.3035125732s, input_fired_time: 0.1138587296, output_fired_time: 0.0000000000, propagate_forward_time: 4.8368873596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3527665138
validation[          , genome  7100] predictions:    9758/  10000 (97.58%), best:    9783/10000 (97.83%), error:       804.36072, best error:       716.47986 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 87.2788238525s, input_fired_time: 1.0957154036, output_fired_time: 0.8672099710, propagate_forward_time: 31.8101787567, propagate_backward_time: 51.1882019043, weight_update_time: 0.1137886196, other_time: 2.3175125122
epoch time: 6.8915410042s, input_fired_time: 0.1346149445, output_fired_time: 0.0000000000, propagate_forward_time: 6.3426876068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4142384529
validation[          , genome  7100] predictions:    9773/  10000 (97.73%), best:    9783/10000 (97.83%), error:       763.09637, best error:       716.47986 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 87.2930145264s, input_fired_time: 1.0935456753, output_fired_time: 0.8647368550, propagate_forward_time: 31.8809757233, propagate_backward_time: 51.1385154724, weight_update_time: 0.1135904565, other_time: 2.3152427673
epoch time: 6.2912874222s, input_fired_time: 0.1274581254, output_fired_time: 0.0000000000, propagate_forward_time: 5.7728009224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3910284042
validation[          , genome  7100] predictions:    9746/  10000 (97.46%), best:    9783/10000 (97.83%), error:       812.48749, best error:       716.47986 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 114.3919525146s, input_fired_time: 1.1429781914, output_fired_time: 1.1762058735, propagate_forward_time: 41.2690162659, propagate_backward_time: 68.3511047363, weight_update_time: 0.1208966821, other_time: 2.4526519775
epoch time: 11.3135805130s, input_fired_time: 0.1546339989, output_fired_time: 0.0000000000, propagate_forward_time: 10.6745634079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4843835831
validation[          , genome  7100] predictions:    9725/  10000 (97.25%), best:    9783/10000 (97.83%), error:       826.08453, best error:       716.47986 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 129.7883300781s, input_fired_time: 1.1626423597, output_fired_time: 1.4537233114, propagate_forward_time: 43.7925186157, propagate_backward_time: 80.1211166382, weight_update_time: 0.1237782910, other_time: 3.2583312988
epoch time: 9.7260389328s, input_fired_time: 0.1384063810, output_fired_time: 0.0000000000, propagate_forward_time: 8.6552009583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9324312210
validation[          , genome  7100] predictions:    9714/  10000 (97.14%), best:    9783/10000 (97.83%), error:       859.74792, best error:       716.47986 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 134.5251770020s, input_fired_time: 1.9381703138, output_fired_time: 1.7350958586, propagate_forward_time: 48.4894561768, propagate_backward_time: 79.0393753052, weight_update_time: 0.1280315369, other_time: 3.3230819702
epoch time: 9.7179212570s, input_fired_time: 0.1418814063, output_fired_time: 0.0000000000, propagate_forward_time: 8.8857097626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6903305054
validation[          , genome  7100] predictions:    9761/  10000 (97.61%), best:    9783/10000 (97.83%), error:       817.49249, best error:       716.47986 on epoch:    65, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 133.3908996582s, input_fired_time: 1.6841212511, output_fired_time: 1.2308568954, propagate_forward_time: 48.8924140930, propagate_backward_time: 78.2756423950, weight_update_time: 0.1267392039, other_time: 3.3078689575
epoch time: 11.3862466812s, input_fired_time: 0.4037410319, output_fired_time: 0.0000000000, propagate_forward_time: 10.5086841583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4738216400
validation[          , genome  7100] predictions:    9736/  10000 (97.36%), best:    9783/10000 (97.83%), error:       837.89813, best error:       716.47986 on epoch:    65, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 124.3643188477s, input_fired_time: 1.8921020031, output_fired_time: 1.4223749638, propagate_forward_time: 45.9416351318, propagate_backward_time: 71.1623916626, weight_update_time: 0.3706872463, other_time: 3.9458084106
epoch time: 10.1259698868s, input_fired_time: 0.6441881061, output_fired_time: 0.0000000000, propagate_forward_time: 8.7832994461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6984825134
validation[          , genome  7100] predictions:    9764/  10000 (97.64%), best:    9783/10000 (97.83%), error:       793.66229, best error:       716.47986 on epoch:    65, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 129.1085052490s, input_fired_time: 1.1634460688, output_fired_time: 1.4529086351, propagate_forward_time: 49.0225181580, propagate_backward_time: 74.2180480957, weight_update_time: 0.1238192692, other_time: 3.2515869141
epoch time: 10.0388631821s, input_fired_time: 0.1430528760, output_fired_time: 0.0000000000, propagate_forward_time: 9.2006301880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6951799393
validation[          , genome  7100] predictions:    9742/  10000 (97.42%), best:    9783/10000 (97.83%), error:       836.96307, best error:       716.47986 on epoch:    65, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 131.7377166748s, input_fired_time: 1.4309797287, output_fired_time: 1.2223838568, propagate_forward_time: 45.7333984375, propagate_backward_time: 79.3074493408, weight_update_time: 0.1259426028, other_time: 4.0435028076
epoch time: 8.8630952835s, input_fired_time: 0.6332455873, output_fired_time: 0.0000000000, propagate_forward_time: 7.8236799240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4061698914
validation[          , genome  7100] predictions:    9772/  10000 (97.72%), best:    9783/10000 (97.83%), error:       753.58881, best error:       716.47986 on epoch:    65, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 127.7813339233s, input_fired_time: 1.4120301008, output_fired_time: 0.9417992234, propagate_forward_time: 47.3194313049, propagate_backward_time: 74.6180648804, weight_update_time: 0.1231767088, other_time: 3.4899978638
epoch time: 10.1995525360s, input_fired_time: 0.1456093043, output_fired_time: 0.0000000000, propagate_forward_time: 9.6017036438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4522399902
validation[          , genome  7100] predictions:    9766/  10000 (97.66%), best:    9783/10000 (97.83%), error:       762.41248, best error:       716.47986 on epoch:    65, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 136.6912689209s, input_fired_time: 1.9573848248, output_fired_time: 1.2473586798, propagate_forward_time: 49.5220146179, propagate_backward_time: 80.1050872803, weight_update_time: 0.3798169494, other_time: 3.8594207764
epoch time: 11.7822685242s, input_fired_time: 0.1581166536, output_fired_time: 0.0000000000, propagate_forward_time: 10.8771181107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7470340729
validation[          , genome  7100] predictions:    9757/  10000 (97.57%), best:    9783/10000 (97.83%), error:       811.01526, best error:       716.47986 on epoch:    65, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 138.0819091797s, input_fired_time: 1.4637154341, output_fired_time: 1.2566610575, propagate_forward_time: 51.9226264954, propagate_backward_time: 79.3174896240, weight_update_time: 0.1305280626, other_time: 4.1214141846
epoch time: 10.4924459457s, input_fired_time: 0.4001013935, output_fired_time: 0.0000000000, propagate_forward_time: 9.6325778961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4597663879
validation[          , genome  7100] predictions:    9699/  10000 (96.99%), best:    9783/10000 (97.83%), error:       968.87915, best error:       716.47986 on epoch:    65, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 140.8416748047s, input_fired_time: 1.4901492596, output_fired_time: 1.0239709616, propagate_forward_time: 54.5769042969, propagate_backward_time: 80.8457870483, weight_update_time: 0.1326785386, other_time: 2.9048690796
epoch time: 12.2401971817s, input_fired_time: 0.1655438393, output_fired_time: 0.0000000000, propagate_forward_time: 10.8154344559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2592191696
validation[          , genome  7100] predictions:    9744/  10000 (97.44%), best:    9783/10000 (97.83%), error:       794.30432, best error:       716.47986 on epoch:    65, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 147.0878295898s, input_fired_time: 1.5128901005, output_fired_time: 1.3198981285, propagate_forward_time: 54.0488739014, propagate_backward_time: 86.7082824707, weight_update_time: 0.1378604919, other_time: 3.4978790283
epoch time: 10.4833259583s, input_fired_time: 0.1497755200, output_fired_time: 0.0000000000, propagate_forward_time: 9.3674097061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9661407471
validation[          , genome  7100] predictions:    9731/  10000 (97.31%), best:    9783/10000 (97.83%), error:       872.90985, best error:       716.47986 on epoch:    65, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 145.3853149414s, input_fired_time: 1.5007928610, output_fired_time: 1.8085298538, propagate_forward_time: 54.0556869507, propagate_backward_time: 84.5457382202, weight_update_time: 0.1369450688, other_time: 3.4745635986
epoch time: 11.3859462738s, input_fired_time: 0.4087296128, output_fired_time: 0.0000000000, propagate_forward_time: 10.2406749725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7365417480
validation[          , genome  7100] predictions:    9704/  10000 (97.04%), best:    9783/10000 (97.83%), error:       941.07751, best error:       716.47986 on epoch:    65, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 145.4015960693s, input_fired_time: 1.2521084547, output_fired_time: 1.3113020658, propagate_forward_time: 50.5951995850, propagate_backward_time: 88.5252075195, weight_update_time: 0.1362917125, other_time: 3.7177886963
epoch time: 11.8517675400s, input_fired_time: 0.1606730819, output_fired_time: 0.0000000000, propagate_forward_time: 11.1958856583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4952087402
validation[          , genome  7100] predictions:    9780/  10000 (97.80%), best:    9783/10000 (97.83%), error:       744.47491, best error:       716.47986 on epoch:    65, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 144.8316497803s, input_fired_time: 1.5013188124, output_fired_time: 1.3072755337, propagate_forward_time: 53.9214210510, propagate_backward_time: 84.1469573975, weight_update_time: 0.1352989525, other_time: 3.9546813965
epoch time: 12.1508693695s, input_fired_time: 0.4134570956, output_fired_time: 0.0000000000, propagate_forward_time: 11.2286396027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5087728500
validation[          , genome  7100] predictions:    9747/  10000 (97.47%), best:    9783/10000 (97.83%), error:       808.65497, best error:       716.47986 on epoch:    65, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 144.5731048584s, input_fired_time: 1.2486526966, output_fired_time: 1.5517685413, propagate_forward_time: 52.7809829712, propagate_backward_time: 85.7821426392, weight_update_time: 0.1355160624, other_time: 3.2095489502
epoch time: 11.2235116959s, input_fired_time: 0.4067495763, output_fired_time: 0.0000000000, propagate_forward_time: 10.3355646133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4811973572
validation[          , genome  7100] predictions:    9740/  10000 (97.40%), best:    9783/10000 (97.83%), error:       845.72540, best error:       716.47986 on epoch:    65, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 143.7916412354s, input_fired_time: 1.2488067150, output_fired_time: 1.7974295616, propagate_forward_time: 54.1616439819, propagate_backward_time: 82.6115646362, weight_update_time: 0.1353537589, other_time: 3.9721984863
epoch time: 11.3762283325s, input_fired_time: 0.1577710807, output_fired_time: 0.0000000000, propagate_forward_time: 10.7317132950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4867439270
validation[          , genome  7100] predictions:    9688/  10000 (96.88%), best:    9783/10000 (97.83%), error:      1032.21362, best error:       716.47986 on epoch:    65, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 126.7999191284s, input_fired_time: 1.1660898924, output_fired_time: 1.6894208193, propagate_forward_time: 45.7454910278, propagate_backward_time: 74.7172317505, weight_update_time: 0.1223559976, other_time: 3.4816818237
epoch time: 9.1806249619s, input_fired_time: 0.1390735656, output_fired_time: 0.0000000000, propagate_forward_time: 8.6190519333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4224996567
validation[          , genome  7100] predictions:    9694/  10000 (96.94%), best:    9783/10000 (97.83%), error:       966.23480, best error:       716.47986 on epoch:    65, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 126.7226867676s, input_fired_time: 1.4244333506, output_fired_time: 1.4332984686, propagate_forward_time: 47.1047821045, propagate_backward_time: 73.5229415894, weight_update_time: 0.1226171404, other_time: 3.2372360229
epoch time: 11.0413064957s, input_fired_time: 0.1537318528, output_fired_time: 0.0000000000, propagate_forward_time: 9.6495962143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2379779816
validation[          , genome  7100] predictions:    9731/  10000 (97.31%), best:    9783/10000 (97.83%), error:       868.25116, best error:       716.47986 on epoch:    65, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 113.6376190186s, input_fired_time: 1.6208527088, output_fired_time: 0.8644308448, propagate_forward_time: 42.1956405640, propagate_backward_time: 65.8657379150, weight_update_time: 0.1146435961, other_time: 3.0909576416
epoch time: 6.2644896507s, input_fired_time: 0.1303366423, output_fired_time: 0.0000000000, propagate_forward_time: 5.7438511848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3903017044
validation[          , genome  7100] predictions:    9739/  10000 (97.39%), best:    9783/10000 (97.83%), error:       840.95709, best error:       716.47986 on epoch:    65, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 81.7690505981s, input_fired_time: 1.0745425224, output_fired_time: 0.8162382841, propagate_forward_time: 29.6340389252, propagate_backward_time: 48.0426368713, weight_update_time: 0.1071699113, other_time: 2.2015953064
epoch time: 7.9164476395s, input_fired_time: 0.1483721733, output_fired_time: 0.0000000000, propagate_forward_time: 7.3153328896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4527425766
validation[          , genome  7100] predictions:    9732/  10000 (97.32%), best:    9783/10000 (97.83%), error:       898.29120, best error:       716.47986 on epoch:    65, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 84.0974426270s, input_fired_time: 1.0900107622, output_fired_time: 0.8346863389, propagate_forward_time: 30.5963802338, propagate_backward_time: 49.3271102905, weight_update_time: 0.1097099707, other_time: 2.2492523193
epoch time: 7.1266145706s, input_fired_time: 0.1410437375, output_fired_time: 0.0000000000, propagate_forward_time: 6.5660233498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4195475578
validation[          , genome  7100] predictions:    9677/  10000 (96.77%), best:    9783/10000 (97.83%), error:       994.61652, best error:       716.47986 on epoch:    65, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 84.6890106201s, input_fired_time: 1.0935574770, output_fired_time: 0.8416789770, propagate_forward_time: 30.7775783539, propagate_backward_time: 49.7232551575, weight_update_time: 0.1101886407, other_time: 2.2529335022
epoch time: 7.3035883904s, input_fired_time: 0.1431373656, output_fired_time: 0.0000000000, propagate_forward_time: 6.7341365814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4263143539
validation[          , genome  7100] predictions:    9753/  10000 (97.53%), best:    9783/10000 (97.83%), error:       795.05914, best error:       716.47986 on epoch:    65, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 84.6203002930s, input_fired_time: 1.0961345434, output_fired_time: 0.8397493958, propagate_forward_time: 30.7624168396, propagate_backward_time: 49.6673126221, weight_update_time: 0.1101261601, other_time: 2.2546806335
epoch time: 7.4023118019s, input_fired_time: 0.1442068964, output_fired_time: 0.0000000000, propagate_forward_time: 6.8251156807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4329891205
validation[          , genome  7100] predictions:    9739/  10000 (97.39%), best:    9783/10000 (97.83%), error:       853.86237, best error:       716.47986 on epoch:    65, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 82.5192489624s, input_fired_time: 1.0808103085, output_fired_time: 0.8194315434, propagate_forward_time: 29.9069061279, propagate_backward_time: 48.4942626953, weight_update_time: 0.1081001908, other_time: 2.2178344727
epoch time: 6.0340366364s, input_fired_time: 0.1285231262, output_fired_time: 0.0000000000, propagate_forward_time: 5.5235133171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3819999695
validation[          , genome  7100] predictions:    9731/  10000 (97.31%), best:    9783/10000 (97.83%), error:       878.93823, best error:       716.47986 on epoch:    65, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 82.5786514282s, input_fired_time: 1.0827291012, output_fired_time: 0.8244507313, propagate_forward_time: 29.9803009033, propagate_backward_time: 48.4745483398, weight_update_time: 0.1079286635, other_time: 2.2166290283
epoch time: 7.3689513206s, input_fired_time: 0.1437174380, output_fired_time: 0.0000000000, propagate_forward_time: 6.7932472229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4319868088
validation[          , genome  7100] predictions:    9736/  10000 (97.36%), best:    9783/10000 (97.83%), error:       868.96112, best error:       716.47986 on epoch:    65, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 81.4139099121s, input_fired_time: 1.0769500732, output_fired_time: 0.8121880293, propagate_forward_time: 29.5389404297, propagate_backward_time: 47.7883720398, weight_update_time: 0.1068340242, other_time: 2.1974601746
epoch time: 6.7805361748s, input_fired_time: 0.1356128752, output_fired_time: 0.0000000000, propagate_forward_time: 6.2365355492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4083876610
validation[          , genome  7100] predictions:    9756/  10000 (97.56%), best:    9783/10000 (97.83%), error:       848.03864, best error:       716.47986 on epoch:    65, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 81.1619110107s, input_fired_time: 1.0746402740, output_fired_time: 0.8116858602, propagate_forward_time: 29.3266239166, propagate_backward_time: 47.7546463013, weight_update_time: 0.1066947356, other_time: 2.1943206787
epoch time: 6.2944970131s, input_fired_time: 0.1315189004, output_fired_time: 0.0000000000, propagate_forward_time: 5.7712817192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3916964531
validation[          , genome  7100] predictions:    9748/  10000 (97.48%), best:    9783/10000 (97.83%), error:       782.15033, best error:       716.47986 on epoch:    65, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 32.9703636169s, input_fired_time: 0.6520346403, output_fired_time: 0.0000000000, propagate_forward_time: 30.2405357361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0777931213
best training[          , genome  7100] predictions:   49595/  50000 (99.19%), best:    9783/10000 (97.83%), error:      1557.85669, best error:       716.47986 on epoch:    65, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 6.2769093513s, input_fired_time: 0.1250255853, output_fired_time: 0.0000000000, propagate_forward_time: 5.7628569603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3890266418
   testing[          , genome  7100] predictions:    9788/  10000 (97.88%), best:    9783/10000 (97.83%), error:       716.07111, best error:       716.47986 on epoch:    65, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
14:17:04 (3344): called boinc_finish(0)

</stderr_txt>
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