Nameexact_genome_1512568488_43_7092_1
Workunit2606758
Created7 Dec 2017, 23:49:21 UTC
Sent7 Dec 2017, 23:55:42 UTC
Report deadline25 Dec 2017, 16:48:08 UTC
Received9 Dec 2017, 7:10:14 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52320
Run time8 hours 35 min 3 sec
CPU time8 hours 34 min 52 sec
Validate stateValid
Credit4,425.77
Device peak FLOPS2.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size159.78 MB
Peak swap size158.14 MB
Peak disk usage2.85 MB

Stderr output

<core_client_version>7.8.2</core_client_version>
<![CDATA[
<stderr_txt>
6, weight_decay: 0.0002438374

epoch time: 281.9751892090s, input_fired_time: 2.9620571136, output_fired_time: 2.6845963001, propagate_forward_time: 108.0257339478, propagate_backward_time: 164.2873840332, weight_update_time: 0.2496742308, other_time: 4.0154113770
epoch time: 22.3789882660s, input_fired_time: 0.3519345820, output_fired_time: 0.0000000000, propagate_forward_time: 21.3346729279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6923809052
validation[          , genome  7092] predictions:    9759/  10000 (97.59%), best:    9795/10000 (97.95%), error:       782.23456, best error:       700.43286 on epoch:    14, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 281.8049926758s, input_fired_time: 2.9090604782, output_fired_time: 2.6820819378, propagate_forward_time: 108.2408218384, propagate_backward_time: 164.1067504883, weight_update_time: 0.2425702661, other_time: 3.8663024902
epoch time: 22.4008445740s, input_fired_time: 0.3553214967, output_fired_time: 0.0000000000, propagate_forward_time: 21.3528156281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6927070618
validation[          , genome  7092] predictions:    9733/  10000 (97.33%), best:    9795/10000 (97.95%), error:       855.04480, best error:       700.43286 on epoch:    14, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 282.4249572754s, input_fired_time: 2.9548511505, output_fired_time: 2.6899302006, propagate_forward_time: 108.1861801147, propagate_backward_time: 164.6142120361, weight_update_time: 0.2498231083, other_time: 3.9797515869
epoch time: 22.5255546570s, input_fired_time: 0.3579160571, output_fired_time: 0.0000000000, propagate_forward_time: 21.4550666809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7125720978
validation[          , genome  7092] predictions:    9747/  10000 (97.47%), best:    9795/10000 (97.95%), error:       768.22571, best error:       700.43286 on epoch:    14, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 281.0234375000s, input_fired_time: 2.9429805279, output_fired_time: 2.6771264076, propagate_forward_time: 107.8254776001, propagate_backward_time: 163.6497497559, weight_update_time: 0.2450499684, other_time: 3.9281005859
epoch time: 22.3916149139s, input_fired_time: 0.3509529829, output_fired_time: 0.0000000000, propagate_forward_time: 21.3499298096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6907329559
validation[          , genome  7092] predictions:    9762/  10000 (97.62%), best:    9795/10000 (97.95%), error:       701.80011, best error:       700.43286 on epoch:    14, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 281.4965820313s, input_fired_time: 2.9388329983, output_fired_time: 2.6765706539, propagate_forward_time: 107.9530563354, propagate_backward_time: 163.9949035645, weight_update_time: 0.2460538000, other_time: 3.9331970215
epoch time: 22.8427982330s, input_fired_time: 0.3598830402, output_fired_time: 0.0000000000, propagate_forward_time: 21.7666187286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7162971497
validation[          , genome  7092] predictions:    9758/  10000 (97.58%), best:    9795/10000 (97.95%), error:       778.34943, best error:       700.43286 on epoch:    14, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 281.1499938965s, input_fired_time: 2.9444580078, output_fired_time: 2.6730256081, propagate_forward_time: 107.9032363892, propagate_backward_time: 163.7077331543, weight_update_time: 0.2459110320, other_time: 3.9215393066
epoch time: 22.6996116638s, input_fired_time: 0.3624600172, output_fired_time: 0.0000000000, propagate_forward_time: 21.6190547943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7180976868
validation[          , genome  7092] predictions:    9710/  10000 (97.10%), best:    9795/10000 (97.95%), error:       893.75128, best error:       700.43286 on epoch:    14, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 281.6714477539s, input_fired_time: 2.9164917469, output_fired_time: 2.6776475906, propagate_forward_time: 108.0630569458, propagate_backward_time: 164.1484527588, weight_update_time: 0.2437527180, other_time: 3.8657989502
epoch time: 22.7094726563s, input_fired_time: 0.3548294604, output_fired_time: 0.0000000000, propagate_forward_time: 21.6629714966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6916713715
validation[          , genome  7092] predictions:    9770/  10000 (97.70%), best:    9795/10000 (97.95%), error:       711.90588, best error:       700.43286 on epoch:    14, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 282.4444274902s, input_fired_time: 2.9067742825, output_fired_time: 2.6873235703, propagate_forward_time: 108.3363647461, propagate_backward_time: 164.6594696045, weight_update_time: 0.2437322289, other_time: 3.8545074463
epoch time: 22.7840080261s, input_fired_time: 0.3635276854, output_fired_time: 0.0000000000, propagate_forward_time: 21.7031021118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7173786163
validation[          , genome  7092] predictions:    9746/  10000 (97.46%), best:    9795/10000 (97.95%), error:       786.97168, best error:       700.43286 on epoch:    14, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 281.7805175781s, input_fired_time: 2.9865629673, output_fired_time: 2.6801066399, propagate_forward_time: 108.1472320557, propagate_backward_time: 163.9546966553, weight_update_time: 0.2487891912, other_time: 4.0119018555
epoch time: 22.7589874268s, input_fired_time: 0.3540672362, output_fired_time: 0.0000000000, propagate_forward_time: 21.7115936279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6933269501
validation[          , genome  7092] predictions:    9726/  10000 (97.26%), best:    9795/10000 (97.95%), error:       868.75446, best error:       700.43286 on epoch:    14, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 281.5041503906s, input_fired_time: 2.9516496658, output_fired_time: 2.6873648167, propagate_forward_time: 107.9938507080, propagate_backward_time: 163.9302215576, weight_update_time: 0.2472908199, other_time: 3.9410400391
epoch time: 22.6569385529s, input_fired_time: 0.3558802307, output_fired_time: 0.0000000000, propagate_forward_time: 21.6099681854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6910896301
validation[          , genome  7092] predictions:    9793/  10000 (97.93%), best:    9793/10000 (97.93%), error:       682.17120, best error:       682.17120 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 281.5602416992s, input_fired_time: 2.9860281944, output_fired_time: 2.6844313145, propagate_forward_time: 107.7083511353, propagate_backward_time: 164.1654815674, weight_update_time: 0.2489238679, other_time: 4.0159759521
epoch time: 22.7523746490s, input_fired_time: 0.3609804511, output_fired_time: 0.0000000000, propagate_forward_time: 21.6752223969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7161712646
validation[          , genome  7092] predictions:    9786/  10000 (97.86%), best:    9793/10000 (97.93%), error:       683.38013, best error:       682.17120 on epoch:    24, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 281.4614562988s, input_fired_time: 2.9832489491, output_fired_time: 2.6812832355, propagate_forward_time: 107.9283905029, propagate_backward_time: 163.8711090088, weight_update_time: 0.2505893707, other_time: 3.9974365234
epoch time: 22.6245632172s, input_fired_time: 0.3545227051, output_fired_time: 0.0000000000, propagate_forward_time: 21.5777950287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6922454834
validation[          , genome  7092] predictions:    9784/  10000 (97.84%), best:    9793/10000 (97.93%), error:       713.91040, best error:       682.17120 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 281.8920288086s, input_fired_time: 2.9850540161, output_fired_time: 2.6894979477, propagate_forward_time: 107.9176559448, propagate_backward_time: 164.2925567627, weight_update_time: 0.2488631010, other_time: 4.0072784424
epoch time: 22.8092136383s, input_fired_time: 0.3643195629, output_fired_time: 0.0000000000, propagate_forward_time: 21.7294998169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7153949738
validation[          , genome  7092] predictions:    9776/  10000 (97.76%), best:    9793/10000 (97.93%), error:       693.48773, best error:       682.17120 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 281.1409301758s, input_fired_time: 2.9373977184, output_fired_time: 2.6750319004, propagate_forward_time: 107.8267745972, propagate_backward_time: 163.7906341553, weight_update_time: 0.2462059110, other_time: 3.9110870361
epoch time: 22.4949169159s, input_fired_time: 0.3533621728, output_fired_time: 0.0000000000, propagate_forward_time: 21.4464988708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6950550079
validation[          , genome  7092] predictions:    9800/  10000 (98.00%), best:    9800/10000 (98.00%), error:       618.57227, best error:       618.57227 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 282.6672668457s, input_fired_time: 2.9100158215, output_fired_time: 2.6894326210, propagate_forward_time: 108.3972320557, propagate_backward_time: 164.8278198242, weight_update_time: 0.2437018603, other_time: 3.8427886963
epoch time: 22.7093391418s, input_fired_time: 0.3553129137, output_fired_time: 0.0000000000, propagate_forward_time: 21.6656303406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6883964539
validation[          , genome  7092] predictions:    9780/  10000 (97.80%), best:    9800/10000 (98.00%), error:       713.06287, best error:       618.57227 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 280.6147460938s, input_fired_time: 2.9707069397, output_fired_time: 2.6717741489, propagate_forward_time: 107.5740585327, propagate_backward_time: 163.4427642822, weight_update_time: 0.2479576021, other_time: 3.9554290771
epoch time: 22.2793788910s, input_fired_time: 0.3601841629, output_fired_time: 0.0000000000, propagate_forward_time: 21.2072410583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7119541168
validation[          , genome  7092] predictions:    9747/  10000 (97.47%), best:    9800/10000 (98.00%), error:       777.61462, best error:       618.57227 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 282.0587463379s, input_fired_time: 2.9095742702, output_fired_time: 2.6976482868, propagate_forward_time: 108.0575485229, propagate_backward_time: 164.5345306396, weight_update_time: 0.2464976907, other_time: 3.8594207764
epoch time: 22.6023578644s, input_fired_time: 0.3561992645, output_fired_time: 0.0000000000, propagate_forward_time: 21.5584926605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6876659393
validation[          , genome  7092] predictions:    9796/  10000 (97.96%), best:    9800/10000 (98.00%), error:       657.82697, best error:       618.57227 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 282.1375732422s, input_fired_time: 2.9411594868, output_fired_time: 2.6832973957, propagate_forward_time: 108.2745666504, propagate_backward_time: 164.3294677734, weight_update_time: 0.2445547283, other_time: 3.9090881348
epoch time: 22.8010501862s, input_fired_time: 0.3642309606, output_fired_time: 0.0000000000, propagate_forward_time: 21.7206058502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7162132263
validation[          , genome  7092] predictions:    9787/  10000 (97.87%), best:    9800/10000 (98.00%), error:       684.16583, best error:       618.57227 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 279.8804321289s, input_fired_time: 2.9622585773, output_fired_time: 2.6646668911, propagate_forward_time: 107.1992950439, propagate_backward_time: 163.0983886719, weight_update_time: 0.2468479276, other_time: 3.9558258057
epoch time: 22.7555789948s, input_fired_time: 0.3618954420, output_fired_time: 0.0000000000, propagate_forward_time: 21.6791400909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7145442963
validation[          , genome  7092] predictions:    9818/  10000 (98.18%), best:    9818/10000 (98.18%), error:       589.20764, best error:       589.20764 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 282.7596740723s, input_fired_time: 2.9956324100, output_fired_time: 2.6986343861, propagate_forward_time: 108.2838363647, propagate_backward_time: 164.7853088379, weight_update_time: 0.2493704408, other_time: 3.9962463379
epoch time: 22.7944374084s, input_fired_time: 0.3649246693, output_fired_time: 0.0000000000, propagate_forward_time: 21.7127075195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7168045044
validation[          , genome  7092] predictions:    9766/  10000 (97.66%), best:    9818/10000 (98.18%), error:       703.05579, best error:       589.20764 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 282.2918395996s, input_fired_time: 2.9159064293, output_fired_time: 2.6834602356, propagate_forward_time: 108.2951889038, propagate_backward_time: 164.5482788086, weight_update_time: 0.2426100969, other_time: 3.8489990234
epoch time: 22.5514659882s, input_fired_time: 0.3537807167, output_fired_time: 0.0000000000, propagate_forward_time: 21.5055503845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6921348572
validation[          , genome  7092] predictions:    9767/  10000 (97.67%), best:    9818/10000 (98.18%), error:       724.56622, best error:       589.20764 on epoch:    33, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 282.2621765137s, input_fired_time: 2.9162156582, output_fired_time: 2.6915061474, propagate_forward_time: 108.1762237549, propagate_backward_time: 164.6275329590, weight_update_time: 0.2430517226, other_time: 3.8506927490
epoch time: 22.6217422485s, input_fired_time: 0.3573375940, output_fired_time: 0.0000000000, propagate_forward_time: 21.5778217316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6865825653
validation[          , genome  7092] predictions:    9760/  10000 (97.60%), best:    9818/10000 (98.18%), error:       794.42169, best error:       589.20764 on epoch:    33, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 280.5945129395s, input_fired_time: 2.9711287022, output_fired_time: 2.6733324528, propagate_forward_time: 107.5601425171, propagate_backward_time: 163.4374542236, weight_update_time: 0.2476119250, other_time: 3.9524383545
epoch time: 22.4647502899s, input_fired_time: 0.3622115254, output_fired_time: 0.0000000000, propagate_forward_time: 21.3837528229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7187862396
validation[          , genome  7092] predictions:    9732/  10000 (97.32%), best:    9818/10000 (98.18%), error:       792.87689, best error:       589.20764 on epoch:    33, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 282.6766357422s, input_fired_time: 2.9910826683, output_fired_time: 2.6984596252, propagate_forward_time: 108.3181838989, propagate_backward_time: 164.6761932373, weight_update_time: 0.2482939810, other_time: 3.9927215576
epoch time: 22.7616481781s, input_fired_time: 0.3639701009, output_fired_time: 0.0000000000, propagate_forward_time: 21.6832313538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7144470215
validation[          , genome  7092] predictions:    9737/  10000 (97.37%), best:    9818/10000 (98.18%), error:       803.14697, best error:       589.20764 on epoch:    33, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 281.8448791504s, input_fired_time: 3.0062112808, output_fired_time: 2.6885676384, propagate_forward_time: 107.9643173218, propagate_backward_time: 164.1954040527, weight_update_time: 0.2485568374, other_time: 3.9903564453
epoch time: 22.7412490845s, input_fired_time: 0.3645868897, output_fired_time: 0.0000000000, propagate_forward_time: 21.6609115601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7157497406
validation[          , genome  7092] predictions:    9742/  10000 (97.42%), best:    9818/10000 (98.18%), error:       899.06702, best error:       589.20764 on epoch:    33, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 281.3761901855s, input_fired_time: 3.0060856342, output_fired_time: 2.6802070141, propagate_forward_time: 107.9034500122, propagate_backward_time: 163.7902374268, weight_update_time: 0.2475888580, other_time: 3.9962310791
epoch time: 22.7332820892s, input_fired_time: 0.3646748364, output_fired_time: 0.0000000000, propagate_forward_time: 21.6525688171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7160377502
validation[          , genome  7092] predictions:    9731/  10000 (97.31%), best:    9818/10000 (98.18%), error:       824.12897, best error:       589.20764 on epoch:    33, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 281.1853332520s, input_fired_time: 2.9097244740, output_fired_time: 2.6744480133, propagate_forward_time: 107.8683929443, propagate_backward_time: 163.8882904053, weight_update_time: 0.2456767410, other_time: 3.8444824219
epoch time: 22.6421527863s, input_fired_time: 0.3585485816, output_fired_time: 0.0000000000, propagate_forward_time: 21.5946369171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6889667511
validation[          , genome  7092] predictions:    9772/  10000 (97.72%), best:    9818/10000 (98.18%), error:       757.70355, best error:       589.20764 on epoch:    33, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 281.0899353027s, input_fired_time: 2.9135954380, output_fired_time: 2.6731593609, propagate_forward_time: 107.8514328003, propagate_backward_time: 163.7990570068, weight_update_time: 0.2459024936, other_time: 3.8526763916
epoch time: 22.5787582397s, input_fired_time: 0.3560660481, output_fired_time: 0.0000000000, propagate_forward_time: 21.5334262848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6892662048
validation[          , genome  7092] predictions:    9784/  10000 (97.84%), best:    9818/10000 (98.18%), error:       697.94189, best error:       589.20764 on epoch:    33, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 280.7772521973s, input_fired_time: 2.9912614822, output_fired_time: 2.6785964966, propagate_forward_time: 107.5920410156, propagate_backward_time: 163.5248870850, weight_update_time: 0.2466733903, other_time: 3.9904632568
epoch time: 22.6738853455s, input_fired_time: 0.3649460375, output_fired_time: 0.0000000000, propagate_forward_time: 21.6007022858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7082366943
validation[          , genome  7092] predictions:    9811/  10000 (98.11%), best:    9818/10000 (98.18%), error:       651.99072, best error:       589.20764 on epoch:    33, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 280.3648071289s, input_fired_time: 2.9221980572, output_fired_time: 2.6665234566, propagate_forward_time: 107.5538177490, propagate_backward_time: 163.3764038086, weight_update_time: 0.2427445799, other_time: 3.8458404541
epoch time: 22.5129642487s, input_fired_time: 0.3587882221, output_fired_time: 0.0000000000, propagate_forward_time: 21.4648456573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6893310547
validation[          , genome  7092] predictions:    9792/  10000 (97.92%), best:    9818/10000 (98.18%), error:       657.41870, best error:       589.20764 on epoch:    33, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 282.5667419434s, input_fired_time: 2.9241392612, output_fired_time: 2.6922066212, propagate_forward_time: 108.4096984863, propagate_backward_time: 164.7006530762, weight_update_time: 0.2443135679, other_time: 3.8400573730
epoch time: 22.7699298859s, input_fired_time: 0.3597553372, output_fired_time: 0.0000000000, propagate_forward_time: 21.7184276581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6917476654
validation[          , genome  7092] predictions:    9784/  10000 (97.84%), best:    9818/10000 (98.18%), error:       699.16766, best error:       589.20764 on epoch:    33, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 282.1715393066s, input_fired_time: 3.0022795200, output_fired_time: 2.6829669476, propagate_forward_time: 108.1529083252, propagate_backward_time: 164.3242645264, weight_update_time: 0.2490109503, other_time: 4.0091247559
epoch time: 22.7370338440s, input_fired_time: 0.3677653670, output_fired_time: 0.0000000000, propagate_forward_time: 21.6559543610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7133140564
validation[          , genome  7092] predictions:    9796/  10000 (97.96%), best:    9818/10000 (98.18%), error:       652.24738, best error:       589.20764 on epoch:    33, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 281.6533813477s, input_fired_time: 2.9230341911, output_fired_time: 2.6846499443, propagate_forward_time: 108.0707702637, propagate_backward_time: 164.1281585693, weight_update_time: 0.2446464002, other_time: 3.8467559814
epoch time: 22.7555065155s, input_fired_time: 0.3601479828, output_fired_time: 0.0000000000, propagate_forward_time: 21.7045936584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6907653809
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       638.38507, best error:       589.20764 on epoch:    33, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 281.3179321289s, input_fired_time: 2.9566667080, output_fired_time: 2.6741192341, propagate_forward_time: 107.9569168091, propagate_backward_time: 163.8227996826, weight_update_time: 0.2454655766, other_time: 3.9074249268
epoch time: 22.7242908478s, input_fired_time: 0.3663424253, output_fired_time: 0.0000000000, propagate_forward_time: 21.6457901001, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7121582031
validation[          , genome  7092] predictions:    9805/  10000 (98.05%), best:    9818/10000 (98.18%), error:       641.52417, best error:       589.20764 on epoch:    33, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 281.9419250488s, input_fired_time: 2.9293050766, output_fired_time: 2.6860604286, propagate_forward_time: 108.1851348877, propagate_backward_time: 164.3023529053, weight_update_time: 0.2435609847, other_time: 3.8390808105
epoch time: 22.7219715118s, input_fired_time: 0.3601537943, output_fired_time: 0.0000000000, propagate_forward_time: 21.6706008911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6912174225
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       647.59857, best error:       589.20764 on epoch:    33, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 280.2367553711s, input_fired_time: 3.0000991821, output_fired_time: 2.6731297970, propagate_forward_time: 107.1110610962, propagate_backward_time: 163.4598388672, weight_update_time: 0.2498038113, other_time: 3.9926452637
epoch time: 22.6450805664s, input_fired_time: 0.3651652932, output_fired_time: 0.0000000000, propagate_forward_time: 21.5681114197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7118034363
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       647.07709, best error:       589.20764 on epoch:    33, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 280.9695129395s, input_fired_time: 2.9221496582, output_fired_time: 2.6790232658, propagate_forward_time: 107.8179626465, propagate_backward_time: 163.7139892578, weight_update_time: 0.2437629849, other_time: 3.8363952637
epoch time: 22.6087894440s, input_fired_time: 0.3588398695, output_fired_time: 0.0000000000, propagate_forward_time: 21.5620918274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6878585815
validation[          , genome  7092] predictions:    9791/  10000 (97.91%), best:    9818/10000 (98.18%), error:       672.50916, best error:       589.20764 on epoch:    33, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 281.0325622559s, input_fired_time: 2.9520335197, output_fired_time: 2.6768019199, propagate_forward_time: 107.7083969116, propagate_backward_time: 163.7970733643, weight_update_time: 0.2459646463, other_time: 3.8982696533
epoch time: 22.6276931763s, input_fired_time: 0.3579981029, output_fired_time: 0.0000000000, propagate_forward_time: 21.5829524994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6867427826
validation[          , genome  7092] predictions:    9806/  10000 (98.06%), best:    9818/10000 (98.18%), error:       640.87286, best error:       589.20764 on epoch:    33, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 282.7900390625s, input_fired_time: 3.0215318203, output_fired_time: 2.6946690083, propagate_forward_time: 108.4041061401, propagate_backward_time: 164.6560516357, weight_update_time: 0.2496448457, other_time: 4.0136566162
epoch time: 22.8528423309s, input_fired_time: 0.3693939745, output_fired_time: 0.0000000000, propagate_forward_time: 21.7674274445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7160205841
validation[          , genome  7092] predictions:    9814/  10000 (98.14%), best:    9818/10000 (98.18%), error:       627.36157, best error:       589.20764 on epoch:    33, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 282.7196044922s, input_fired_time: 2.9606077671, output_fired_time: 2.6920061111, propagate_forward_time: 108.3798294067, propagate_backward_time: 164.7934570313, weight_update_time: 0.2464608550, other_time: 3.8937072754
epoch time: 22.8033695221s, input_fired_time: 0.3702992201, output_fired_time: 0.0000000000, propagate_forward_time: 21.7168083191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7162628174
validation[          , genome  7092] predictions:    9786/  10000 (97.86%), best:    9818/10000 (98.18%), error:       727.83563, best error:       589.20764 on epoch:    33, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 281.1385192871s, input_fired_time: 2.9301950932, output_fired_time: 2.6824409962, propagate_forward_time: 107.7377471924, propagate_backward_time: 163.9564514160, weight_update_time: 0.2429594547, other_time: 3.8316802979
epoch time: 22.6376571655s, input_fired_time: 0.3589236736, output_fired_time: 0.0000000000, propagate_forward_time: 21.5890388489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6896953583
validation[          , genome  7092] predictions:    9796/  10000 (97.96%), best:    9818/10000 (98.18%), error:       696.53912, best error:       589.20764 on epoch:    33, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 283.3804931641s, input_fired_time: 3.0120151043, output_fired_time: 2.7010288239, propagate_forward_time: 108.5844802856, propagate_backward_time: 165.0892944336, weight_update_time: 0.2485650182, other_time: 3.9936828613
epoch time: 22.7935314178s, input_fired_time: 0.3690919876, output_fired_time: 0.0000000000, propagate_forward_time: 21.7084293365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7160091400
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       633.77179, best error:       589.20764 on epoch:    33, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 280.6482849121s, input_fired_time: 2.9912211895, output_fired_time: 2.6816453934, propagate_forward_time: 107.3498840332, propagate_backward_time: 163.6515808105, weight_update_time: 0.2490063012, other_time: 3.9739685059
epoch time: 22.4506607056s, input_fired_time: 0.3598172665, output_fired_time: 0.0000000000, propagate_forward_time: 21.4021625519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6886806488
validation[          , genome  7092] predictions:    9776/  10000 (97.76%), best:    9818/10000 (98.18%), error:       729.24060, best error:       589.20764 on epoch:    33, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 282.9280700684s, input_fired_time: 3.0041143894, output_fired_time: 2.6965134144, propagate_forward_time: 108.4709777832, propagate_backward_time: 164.7633056641, weight_update_time: 0.2492780536, other_time: 3.9931640625
epoch time: 22.8385581970s, input_fired_time: 0.3688224554, output_fired_time: 0.0000000000, propagate_forward_time: 21.7505264282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7192096710
validation[          , genome  7092] predictions:    9811/  10000 (98.11%), best:    9818/10000 (98.18%), error:       647.21399, best error:       589.20764 on epoch:    33, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 281.4595336914s, input_fired_time: 2.9625852108, output_fired_time: 2.6787028313, propagate_forward_time: 107.9295425415, propagate_backward_time: 163.9786529541, weight_update_time: 0.2443386316, other_time: 3.9100494385
epoch time: 22.6722793579s, input_fired_time: 0.3647145629, output_fired_time: 0.0000000000, propagate_forward_time: 21.6061420441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7014236450
validation[          , genome  7092] predictions:    9792/  10000 (97.92%), best:    9818/10000 (98.18%), error:       657.40051, best error:       589.20764 on epoch:    33, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 281.3525695801s, input_fired_time: 2.9339551926, output_fired_time: 2.6819221973, propagate_forward_time: 107.8727569580, propagate_backward_time: 164.0086364746, weight_update_time: 0.2450482547, other_time: 3.8553009033
epoch time: 22.8800067902s, input_fired_time: 0.3725502193, output_fired_time: 0.0000000000, propagate_forward_time: 21.7901420593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7173137665
validation[          , genome  7092] predictions:    9758/  10000 (97.58%), best:    9818/10000 (98.18%), error:       811.25317, best error:       589.20764 on epoch:    33, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 282.8543090820s, input_fired_time: 3.0397639275, output_fired_time: 2.6934032440, propagate_forward_time: 108.3952713013, propagate_backward_time: 164.7060699463, weight_update_time: 0.2491613328, other_time: 4.0198211670
epoch time: 22.8190555573s, input_fired_time: 0.3674786687, output_fired_time: 0.0000000000, propagate_forward_time: 21.7349090576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7166671753
validation[          , genome  7092] predictions:    9817/  10000 (98.17%), best:    9818/10000 (98.18%), error:       633.35620, best error:       589.20764 on epoch:    33, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 283.0969543457s, input_fired_time: 3.0192623138, output_fired_time: 2.6953625679, propagate_forward_time: 108.5037155151, propagate_backward_time: 164.8899078369, weight_update_time: 0.2479943335, other_time: 3.9886932373
epoch time: 22.8228912354s, input_fired_time: 0.3721581995, output_fired_time: 0.0000000000, propagate_forward_time: 21.7355175018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7152156830
validation[          , genome  7092] predictions:    9780/  10000 (97.80%), best:    9818/10000 (98.18%), error:       727.06879, best error:       589.20764 on epoch:    33, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 282.0794982910s, input_fired_time: 2.9429066181, output_fired_time: 2.6842420101, propagate_forward_time: 108.2332458496, propagate_backward_time: 164.3681793213, weight_update_time: 0.2442669719, other_time: 3.8509368896
epoch time: 22.7278709412s, input_fired_time: 0.3635791242, output_fired_time: 0.0000000000, propagate_forward_time: 21.6750259399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6892662048
validation[          , genome  7092] predictions:    9777/  10000 (97.77%), best:    9818/10000 (98.18%), error:       681.21619, best error:       589.20764 on epoch:    33, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 281.1038818359s, input_fired_time: 2.9775204659, output_fired_time: 2.6730737686, propagate_forward_time: 107.8493804932, propagate_backward_time: 163.6997985840, weight_update_time: 0.2463048249, other_time: 3.9041290283
epoch time: 22.6353721619s, input_fired_time: 0.3618176877, output_fired_time: 0.0000000000, propagate_forward_time: 21.5841007233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6894531250
validation[          , genome  7092] predictions:    9823/  10000 (98.23%), best:    9818/10000 (98.18%), error:       624.00958, best error:       589.20764 on epoch:    33, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 282.0154418945s, input_fired_time: 2.9888682365, output_fired_time: 2.6814343929, propagate_forward_time: 108.1711730957, propagate_backward_time: 164.2410278320, weight_update_time: 0.2460122854, other_time: 3.9329528809
epoch time: 22.7344379425s, input_fired_time: 0.3709240854, output_fired_time: 0.0000000000, propagate_forward_time: 21.6484050751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7151088715
validation[          , genome  7092] predictions:    9764/  10000 (97.64%), best:    9818/10000 (98.18%), error:       776.10608, best error:       589.20764 on epoch:    33, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 281.4716796875s, input_fired_time: 3.0354549885, output_fired_time: 2.6774656773, propagate_forward_time: 107.9641189575, propagate_backward_time: 163.7860412598, weight_update_time: 0.2488670349, other_time: 4.0086059570
epoch time: 22.8340187073s, input_fired_time: 0.3643481135, output_fired_time: 0.0000000000, propagate_forward_time: 21.7770843506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6925868988
validation[          , genome  7092] predictions:    9782/  10000 (97.82%), best:    9818/10000 (98.18%), error:       704.62665, best error:       589.20764 on epoch:    33, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 282.5410461426s, input_fired_time: 3.0222191811, output_fired_time: 2.6868331432, propagate_forward_time: 108.2667999268, propagate_backward_time: 164.5841827393, weight_update_time: 0.2477830499, other_time: 3.9810180664
epoch time: 22.8120288849s, input_fired_time: 0.3715434968, output_fired_time: 0.0000000000, propagate_forward_time: 21.7217922211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7186927795
validation[          , genome  7092] predictions:    9795/  10000 (97.95%), best:    9818/10000 (98.18%), error:       663.69440, best error:       589.20764 on epoch:    33, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 281.8825378418s, input_fired_time: 2.9486141205, output_fired_time: 2.6863427162, propagate_forward_time: 108.0883712769, propagate_backward_time: 164.3152313232, weight_update_time: 0.2435435057, other_time: 3.8439788818
epoch time: 22.8234767914s, input_fired_time: 0.3635719121, output_fired_time: 0.0000000000, propagate_forward_time: 21.7704753876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6894302368
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       627.36206, best error:       589.20764 on epoch:    33, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 283.3671264648s, input_fired_time: 3.0354478359, output_fired_time: 2.7019219398, propagate_forward_time: 108.5969543457, propagate_backward_time: 165.0265808105, weight_update_time: 0.2501049936, other_time: 4.0061950684
epoch time: 22.7712211609s, input_fired_time: 0.3699450493, output_fired_time: 0.0000000000, propagate_forward_time: 21.6827545166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7185211182
validation[          , genome  7092] predictions:    9790/  10000 (97.90%), best:    9818/10000 (98.18%), error:       720.71191, best error:       589.20764 on epoch:    33, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 281.1384582520s, input_fired_time: 3.0208075047, output_fired_time: 2.6772046089, propagate_forward_time: 107.8383102417, propagate_backward_time: 163.5961608887, weight_update_time: 0.2500275075, other_time: 4.0059509277
epoch time: 22.6807365417s, input_fired_time: 0.3650062978, output_fired_time: 0.0000000000, propagate_forward_time: 21.6296577454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6860733032
validation[          , genome  7092] predictions:    9797/  10000 (97.97%), best:    9818/10000 (98.18%), error:       647.54865, best error:       589.20764 on epoch:    33, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 280.7906494141s, input_fired_time: 3.0172679424, output_fired_time: 2.6656429768, propagate_forward_time: 107.6241836548, propagate_backward_time: 163.4925384521, weight_update_time: 0.2506335974, other_time: 3.9910125732
epoch time: 22.6676197052s, input_fired_time: 0.3706358373, output_fired_time: 0.0000000000, propagate_forward_time: 21.5836791992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7133045197
validation[          , genome  7092] predictions:    9823/  10000 (98.23%), best:    9818/10000 (98.18%), error:       593.60602, best error:       589.20764 on epoch:    33, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 281.1797485352s, input_fired_time: 2.9672672749, output_fired_time: 2.6776971817, propagate_forward_time: 107.8212585449, propagate_backward_time: 163.8216705322, weight_update_time: 0.2458696216, other_time: 3.8918609619
epoch time: 22.6119670868s, input_fired_time: 0.3645539880, output_fired_time: 0.0000000000, propagate_forward_time: 21.5598373413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6875762939
validation[          , genome  7092] predictions:    9792/  10000 (97.92%), best:    9818/10000 (98.18%), error:       697.36432, best error:       589.20764 on epoch:    33, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 281.0382995605s, input_fired_time: 2.9559736252, output_fired_time: 2.6714270115, propagate_forward_time: 107.8910522461, propagate_backward_time: 163.6909179688, weight_update_time: 0.2418266684, other_time: 3.8289489746
epoch time: 22.6053886414s, input_fired_time: 0.3641729951, output_fired_time: 0.0000000000, propagate_forward_time: 21.5518112183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6894035339
validation[          , genome  7092] predictions:    9812/  10000 (98.12%), best:    9818/10000 (98.18%), error:       608.48590, best error:       589.20764 on epoch:    33, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 281.7790527344s, input_fired_time: 3.0257332325, output_fired_time: 2.6841788292, propagate_forward_time: 107.9629821777, propagate_backward_time: 164.1109313965, weight_update_time: 0.2485375553, other_time: 3.9952392578
epoch time: 22.6216850281s, input_fired_time: 0.3703252673, output_fired_time: 0.0000000000, propagate_forward_time: 21.5341873169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7171726227
validation[          , genome  7092] predictions:    9808/  10000 (98.08%), best:    9818/10000 (98.18%), error:       624.71130, best error:       589.20764 on epoch:    33, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 281.6818847656s, input_fired_time: 2.9966261387, output_fired_time: 2.6797699928, propagate_forward_time: 108.0908813477, propagate_backward_time: 164.0011901855, weight_update_time: 0.2454672903, other_time: 3.9134216309
epoch time: 22.6415691376s, input_fired_time: 0.3642400205, output_fired_time: 0.0000000000, propagate_forward_time: 21.5833492279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6939792633
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       618.19702, best error:       589.20764 on epoch:    33, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 280.7915649414s, input_fired_time: 2.9433765411, output_fired_time: 2.6694147587, propagate_forward_time: 107.7669143677, propagate_backward_time: 163.5682220459, weight_update_time: 0.2440795302, other_time: 3.8436431885
epoch time: 22.6026802063s, input_fired_time: 0.3669383824, output_fired_time: 0.0000000000, propagate_forward_time: 21.5474185944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6883239746
validation[          , genome  7092] predictions:    9788/  10000 (97.88%), best:    9818/10000 (98.18%), error:       696.29547, best error:       589.20764 on epoch:    33, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 281.4254760742s, input_fired_time: 3.0350255966, output_fired_time: 2.6738519669, propagate_forward_time: 107.9323043823, propagate_backward_time: 163.7818145752, weight_update_time: 0.2498080283, other_time: 4.0024566650
epoch time: 22.7853565216s, input_fired_time: 0.3723931611, output_fired_time: 0.0000000000, propagate_forward_time: 21.7225322723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6904315948
validation[          , genome  7092] predictions:    9790/  10000 (97.90%), best:    9818/10000 (98.18%), error:       685.76379, best error:       589.20764 on epoch:    33, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 281.8442993164s, input_fired_time: 2.9762527943, output_fired_time: 2.6879189014, propagate_forward_time: 108.0470428467, propagate_backward_time: 164.2277526855, weight_update_time: 0.2457382083, other_time: 3.9053192139
epoch time: 22.7868442535s, input_fired_time: 0.3652109206, output_fired_time: 0.0000000000, propagate_forward_time: 21.7318744659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6897583008
validation[          , genome  7092] predictions:    9768/  10000 (97.68%), best:    9818/10000 (98.18%), error:       734.48126, best error:       589.20764 on epoch:    33, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 283.1773986816s, input_fired_time: 3.0626194477, output_fired_time: 2.6947450638, propagate_forward_time: 108.5279693604, propagate_backward_time: 164.8705749512, weight_update_time: 0.2482746691, other_time: 4.0214996338
epoch time: 22.7368259430s, input_fired_time: 0.3751068115, output_fired_time: 0.0000000000, propagate_forward_time: 21.6472930908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7144260406
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       637.45428, best error:       589.20764 on epoch:    33, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 281.9324035645s, input_fired_time: 3.0402989388, output_fired_time: 2.6865820885, propagate_forward_time: 108.0419464111, propagate_backward_time: 164.1672668457, weight_update_time: 0.2486536205, other_time: 3.9962921143
epoch time: 22.6411323547s, input_fired_time: 0.3751725852, output_fired_time: 0.0000000000, propagate_forward_time: 21.5504417419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7155189514
validation[          , genome  7092] predictions:    9807/  10000 (98.07%), best:    9818/10000 (98.18%), error:       620.57843, best error:       589.20764 on epoch:    33, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 280.7085876465s, input_fired_time: 3.0299510956, output_fired_time: 2.6759493351, propagate_forward_time: 107.5397644043, propagate_backward_time: 163.4671325684, weight_update_time: 0.2484091073, other_time: 3.9957885742
epoch time: 22.5657501221s, input_fired_time: 0.3719715178, output_fired_time: 0.0000000000, propagate_forward_time: 21.4823837280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7113952637
validation[          , genome  7092] predictions:    9813/  10000 (98.13%), best:    9818/10000 (98.18%), error:       617.70038, best error:       589.20764 on epoch:    33, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 282.3974609375s, input_fired_time: 3.0526134968, output_fired_time: 2.6907529831, propagate_forward_time: 108.2654495239, propagate_backward_time: 164.3796997070, weight_update_time: 0.2485475242, other_time: 4.0089416504
epoch time: 22.6481895447s, input_fired_time: 0.3738280237, output_fired_time: 0.0000000000, propagate_forward_time: 21.5587406158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7156200409
validation[          , genome  7092] predictions:    9763/  10000 (97.63%), best:    9818/10000 (98.18%), error:       749.94049, best error:       589.20764 on epoch:    33, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 282.7445983887s, input_fired_time: 3.0510585308, output_fired_time: 2.6885795593, propagate_forward_time: 108.3533325195, propagate_backward_time: 164.6359558105, weight_update_time: 0.2493044585, other_time: 4.0156860352
epoch time: 22.6955204010s, input_fired_time: 0.3720919788, output_fired_time: 0.0000000000, propagate_forward_time: 21.6044940948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7189350128
validation[          , genome  7092] predictions:    9818/  10000 (98.18%), best:    9818/10000 (98.18%), error:       625.98041, best error:       589.20764 on epoch:    33, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 283.8346557617s, input_fired_time: 3.0476255417, output_fired_time: 2.7021014690, propagate_forward_time: 108.7916336060, propagate_backward_time: 165.2905578613, weight_update_time: 0.2504262924, other_time: 4.0027465820
epoch time: 22.5872821808s, input_fired_time: 0.3684239388, output_fired_time: 0.0000000000, propagate_forward_time: 21.5197029114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6991558075
validation[          , genome  7092] predictions:    9814/  10000 (98.14%), best:    9818/10000 (98.18%), error:       595.16608, best error:       589.20764 on epoch:    33, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 280.7518005371s, input_fired_time: 3.0217804909, output_fired_time: 2.6677215099, propagate_forward_time: 107.5562591553, propagate_backward_time: 163.5226287842, weight_update_time: 0.2487259358, other_time: 3.9833984375
epoch time: 22.6831569672s, input_fired_time: 0.3675170541, output_fired_time: 0.0000000000, propagate_forward_time: 21.6264953613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6891441345
validation[          , genome  7092] predictions:    9804/  10000 (98.04%), best:    9818/10000 (98.18%), error:       667.27301, best error:       589.20764 on epoch:    33, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 281.9012145996s, input_fired_time: 2.9698846340, output_fired_time: 2.6781349182, propagate_forward_time: 108.2103271484, propagate_backward_time: 164.1780853271, weight_update_time: 0.2422183305, other_time: 3.8647918701
epoch time: 22.7178020477s, input_fired_time: 0.3688686490, output_fired_time: 0.0000000000, propagate_forward_time: 21.6540241241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6949100494
validation[          , genome  7092] predictions:    9826/  10000 (98.26%), best:    9818/10000 (98.18%), error:       595.47729, best error:       589.20764 on epoch:    33, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 282.9765930176s, input_fired_time: 2.9704775810, output_fired_time: 2.6920382977, propagate_forward_time: 108.5531921387, propagate_backward_time: 164.9125213623, weight_update_time: 0.2427678406, other_time: 3.8483428955
epoch time: 22.8191547394s, input_fired_time: 0.3686248064, output_fired_time: 0.0000000000, propagate_forward_time: 21.7552928925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6952362061
validation[          , genome  7092] predictions:    9819/  10000 (98.19%), best:    9818/10000 (98.18%), error:       595.90784, best error:       589.20764 on epoch:    33, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 281.8621826172s, input_fired_time: 3.0489592552, output_fired_time: 2.6828670502, propagate_forward_time: 107.9336700439, propagate_backward_time: 164.1931610107, weight_update_time: 0.2500409186, other_time: 4.0035400391
epoch time: 22.6963405609s, input_fired_time: 0.3757876754, output_fired_time: 0.0000000000, propagate_forward_time: 21.6067790985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7137737274
validation[          , genome  7092] predictions:    9784/  10000 (97.84%), best:    9818/10000 (98.18%), error:       712.21179, best error:       589.20764 on epoch:    33, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 281.8416137695s, input_fired_time: 3.0131914616, output_fired_time: 2.6813552380, propagate_forward_time: 108.0370941162, propagate_backward_time: 164.1895446777, weight_update_time: 0.2450247705, other_time: 3.9204254150
epoch time: 22.8023204803s, input_fired_time: 0.3692782521, output_fired_time: 0.0000000000, propagate_forward_time: 21.7417659760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6912765503
validation[          , genome  7092] predictions:    9752/  10000 (97.52%), best:    9818/10000 (98.18%), error:       846.63202, best error:       589.20764 on epoch:    33, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 281.1786499023s, input_fired_time: 3.0351479053, output_fired_time: 2.6791961193, propagate_forward_time: 107.8276824951, propagate_backward_time: 163.6518707275, weight_update_time: 0.2465481311, other_time: 3.9847412109
epoch time: 22.6644001007s, input_fired_time: 0.3666431308, output_fired_time: 0.0000000000, propagate_forward_time: 21.6029109955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6948451996
validation[          , genome  7092] predictions:    9785/  10000 (97.85%), best:    9818/10000 (98.18%), error:       731.83527, best error:       589.20764 on epoch:    33, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 288.9335021973s, input_fired_time: 2.9709875584, output_fired_time: 2.6860003471, propagate_forward_time: 110.1959381104, propagate_backward_time: 169.1342926025, weight_update_time: 0.2524408102, other_time: 3.9462890625
epoch time: 22.7992172241s, input_fired_time: 0.3724097013, output_fired_time: 0.0000000000, propagate_forward_time: 21.7337055206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6931018829
validation[          , genome  7092] predictions:    9750/  10000 (97.50%), best:    9818/10000 (98.18%), error:       863.35468, best error:       589.20764 on epoch:    33, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 283.1306762695s, input_fired_time: 3.0039780140, output_fired_time: 2.6936755180, propagate_forward_time: 108.5762252808, propagate_backward_time: 164.9433288574, weight_update_time: 0.2455698103, other_time: 3.9134826660
epoch time: 22.6947784424s, input_fired_time: 0.3716242313, output_fired_time: 0.0000000000, propagate_forward_time: 21.6323661804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6907882690
validation[          , genome  7092] predictions:    9800/  10000 (98.00%), best:    9818/10000 (98.18%), error:       630.08618, best error:       589.20764 on epoch:    33, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 281.7910766602s, input_fired_time: 2.9937031269, output_fired_time: 2.6831719875, propagate_forward_time: 108.0739059448, propagate_backward_time: 164.1647186279, weight_update_time: 0.2436054051, other_time: 3.8755645752
epoch time: 22.6928176880s, input_fired_time: 0.3762589097, output_fired_time: 0.0000000000, propagate_forward_time: 21.6023883820, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7141704559
validation[          , genome  7092] predictions:    9802/  10000 (98.02%), best:    9818/10000 (98.18%), error:       646.81873, best error:       589.20764 on epoch:    33, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 283.9588623047s, input_fired_time: 3.0588951111, output_fired_time: 2.7013309002, propagate_forward_time: 108.8203277588, propagate_backward_time: 165.3744049072, weight_update_time: 0.2510877252, other_time: 4.0039062500
epoch time: 22.6282520294s, input_fired_time: 0.3747640848, output_fired_time: 0.0000000000, propagate_forward_time: 21.5324497223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7210388184
validation[          , genome  7092] predictions:    9802/  10000 (98.02%), best:    9818/10000 (98.18%), error:       676.83600, best error:       589.20764 on epoch:    33, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 281.8293762207s, input_fired_time: 3.0509750843, output_fired_time: 2.6830534935, propagate_forward_time: 107.9506454468, propagate_backward_time: 164.1495666504, weight_update_time: 0.2491306067, other_time: 3.9951477051
epoch time: 22.9030590057s, input_fired_time: 0.3784424365, output_fired_time: 0.0000000000, propagate_forward_time: 21.8104648590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7141513824
validation[          , genome  7092] predictions:    9802/  10000 (98.02%), best:    9818/10000 (98.18%), error:       643.19452, best error:       589.20764 on epoch:    33, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 283.4545593262s, input_fired_time: 3.0661125183, output_fired_time: 2.6992561817, propagate_forward_time: 108.5835189819, propagate_backward_time: 165.0992584229, weight_update_time: 0.2510809302, other_time: 4.0064239502
epoch time: 22.5054588318s, input_fired_time: 0.3752964139, output_fired_time: 0.0000000000, propagate_forward_time: 21.4139308929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7162322998
validation[          , genome  7092] predictions:    9818/  10000 (98.18%), best:    9818/10000 (98.18%), error:       622.45654, best error:       589.20764 on epoch:    33, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 280.5653076172s, input_fired_time: 2.9678010941, output_fired_time: 2.6658170223, propagate_forward_time: 107.5819091797, propagate_backward_time: 163.5340270996, weight_update_time: 0.2417216599, other_time: 3.8157653809
epoch time: 22.6555233002s, input_fired_time: 0.3788939714, output_fired_time: 0.0000000000, propagate_forward_time: 21.5634632111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7131652832
validation[          , genome  7092] predictions:    9794/  10000 (97.94%), best:    9818/10000 (98.18%), error:       665.81635, best error:       589.20764 on epoch:    33, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 280.8609313965s, input_fired_time: 3.0413806438, output_fired_time: 2.6640560627, propagate_forward_time: 107.6829681396, propagate_backward_time: 163.4837951660, weight_update_time: 0.2476569861, other_time: 3.9887237549
epoch time: 22.6092472076s, input_fired_time: 0.3732729554, output_fired_time: 0.0000000000, propagate_forward_time: 21.5381641388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6978092194
validation[          , genome  7092] predictions:    9811/  10000 (98.11%), best:    9818/10000 (98.18%), error:       646.96344, best error:       589.20764 on epoch:    33, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 281.6336059570s, input_fired_time: 3.0394496918, output_fired_time: 2.6791698933, propagate_forward_time: 107.9887695313, propagate_backward_time: 163.9658508301, weight_update_time: 0.2473621666, other_time: 3.9603576660
epoch time: 22.8366870880s, input_fired_time: 0.3732704520, output_fired_time: 0.0000000000, propagate_forward_time: 21.7734107971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6900062561
validation[          , genome  7092] predictions:    9817/  10000 (98.17%), best:    9818/10000 (98.18%), error:       637.19910, best error:       589.20764 on epoch:    33, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 281.3405761719s, input_fired_time: 2.9954526424, output_fired_time: 2.6805479527, propagate_forward_time: 107.9541473389, propagate_backward_time: 163.8465576172, weight_update_time: 0.2437768728, other_time: 3.8638763428
epoch time: 22.8009243011s, input_fired_time: 0.3813018501, output_fired_time: 0.0000000000, propagate_forward_time: 21.7050781250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7145442963
validation[          , genome  7092] predictions:    9789/  10000 (97.89%), best:    9818/10000 (98.18%), error:       702.19775, best error:       589.20764 on epoch:    33, 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: 113.2153854370s, input_fired_time: 1.7801660299, output_fired_time: 0.0000000000, propagate_forward_time: 107.9158172607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5194015503
best training[          , genome  7092] predictions:   49657/  50000 (99.31%), best:    9818/10000 (98.18%), error:      1304.42761, best error:       589.20764 on epoch:    33, 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: 22.7083473206s, input_fired_time: 0.3550215960, output_fired_time: 0.0000000000, propagate_forward_time: 21.6626434326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6906814575
   testing[          , genome  7092] predictions:    9836/  10000 (98.36%), best:    9818/10000 (98.18%), error:       516.47479, best error:       589.20764 on epoch:    33, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
15:09:47 (3460): called boinc_finish(0)

</stderr_txt>
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