Nameexact_genome_1512568488_44_7063_1
Workunit2606671
Created7 Dec 2017, 23:40:41 UTC
Sent7 Dec 2017, 23:49:43 UTC
Report deadline13 Dec 2017, 12:49:13 UTC
Received8 Dec 2017, 6:03:02 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10030
Run time3 hours 9 min 11 sec
CPU time2 hours 26 min 51 sec
Validate stateValid
Credit1,385.33
Device peak FLOPS3.60 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size156.10 MB
Peak swap size158.95 MB
Peak disk usage1.83 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
.0000000000, propagate_forward_time: 8.7082490921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7798414230
validation[          , genome  7063] predictions:    9664/  10000 (96.64%), best:    9677/10000 (96.77%), error:      1123.99304, best error:      1068.32153 on epoch:    12, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 136.5545043945s, input_fired_time: 1.4980020523, output_fired_time: 2.0613346100, propagate_forward_time: 49.6505165100, propagate_backward_time: 79.5729904175, weight_update_time: 0.2781698108, other_time: 3.7716598511
epoch time: 9.9360322952s, input_fired_time: 0.2331834286, output_fired_time: 0.0000000000, propagate_forward_time: 9.0837163925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6191320419
validation[          , genome  7063] predictions:    9684/  10000 (96.84%), best:    9684/10000 (96.84%), error:      1068.13452, best error:      1068.13452 on epoch:    15, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 110.0226440430s, input_fired_time: 1.4144870043, output_fired_time: 1.5048172474, propagate_forward_time: 40.3029556274, propagate_backward_time: 63.5177574158, weight_update_time: 0.1802436709, other_time: 3.2826271057
epoch time: 10.6113557816s, input_fired_time: 0.1904850751, output_fired_time: 0.0000000000, propagate_forward_time: 9.5709676743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8499031067
validation[          , genome  7063] predictions:    9634/  10000 (96.34%), best:    9684/10000 (96.84%), error:      1250.31433, best error:      1068.13452 on epoch:    15, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 108.2723770142s, input_fired_time: 1.3253695965, output_fired_time: 1.4415190220, propagate_forward_time: 39.7958831787, propagate_backward_time: 62.6567535400, weight_update_time: 0.1790463477, other_time: 3.0528488159
epoch time: 6.8507909775s, input_fired_time: 0.1275563389, output_fired_time: 0.0000000000, propagate_forward_time: 6.2966980934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4265365601
validation[          , genome  7063] predictions:    9646/  10000 (96.46%), best:    9684/10000 (96.84%), error:      1171.70752, best error:      1068.13452 on epoch:    15, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 89.8503189087s, input_fired_time: 1.1507422924, output_fired_time: 1.2113839388, propagate_forward_time: 32.6672096252, propagate_backward_time: 52.1899909973, weight_update_time: 0.1373815387, other_time: 2.6309890747
epoch time: 6.7900266647s, input_fired_time: 0.1291356832, output_fired_time: 0.0000000000, propagate_forward_time: 6.1924505234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4684405327
validation[          , genome  7063] predictions:    9657/  10000 (96.57%), best:    9684/10000 (96.84%), error:      1154.63379, best error:      1068.13452 on epoch:    15, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 83.3593063354s, input_fired_time: 1.0327206850, output_fired_time: 1.1360979080, propagate_forward_time: 30.6637096405, propagate_backward_time: 48.1504898071, weight_update_time: 0.1336764991, other_time: 2.3762817383
epoch time: 6.7609968185s, input_fired_time: 0.1236089170, output_fired_time: 0.0000000000, propagate_forward_time: 6.1726741791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4647135735
validation[          , genome  7063] predictions:    9661/  10000 (96.61%), best:    9684/10000 (96.84%), error:      1098.56030, best error:      1068.13452 on epoch:    15, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 99.6252059937s, input_fired_time: 1.2125492096, output_fired_time: 1.3602553606, propagate_forward_time: 36.0907630920, propagate_backward_time: 57.8891830444, weight_update_time: 0.1948108673, other_time: 3.0724601746
epoch time: 10.8491258621s, input_fired_time: 0.2426401228, output_fired_time: 0.0000000000, propagate_forward_time: 9.8807344437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7257509232
validation[          , genome  7063] predictions:    9656/  10000 (96.56%), best:    9684/10000 (96.84%), error:      1124.25781, best error:      1068.13452 on epoch:    15, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 103.3290786743s, input_fired_time: 1.1733464003, output_fired_time: 1.5614768267, propagate_forward_time: 37.8258819580, propagate_backward_time: 59.7071189880, weight_update_time: 0.1729905754, other_time: 3.0612525940
epoch time: 12.7152385712s, input_fired_time: 0.1669560224, output_fired_time: 0.0000000000, propagate_forward_time: 11.4155263901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1327562332
validation[          , genome  7063] predictions:    9704/  10000 (97.04%), best:    9704/10000 (97.04%), error:       980.88171, best error:       980.88171 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 103.7360076904s, input_fired_time: 1.1364022493, output_fired_time: 1.4465249777, propagate_forward_time: 38.0682449341, propagate_backward_time: 60.0392379761, weight_update_time: 0.1515054554, other_time: 3.0455932617
epoch time: 6.7972946167s, input_fired_time: 0.1300527751, output_fired_time: 0.0000000000, propagate_forward_time: 6.1839947701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4832472801
validation[          , genome  7063] predictions:    9708/  10000 (97.08%), best:    9704/10000 (97.04%), error:       989.61652, best error:       980.88171 on epoch:    21, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 86.3922195435s, input_fired_time: 1.1032060385, output_fired_time: 1.2058057785, propagate_forward_time: 31.7023506165, propagate_backward_time: 49.8967666626, weight_update_time: 0.1502310783, other_time: 2.4840965271
epoch time: 7.2701072693s, input_fired_time: 0.1266513765, output_fired_time: 0.0000000000, propagate_forward_time: 6.5706920624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5727639198
validation[          , genome  7063] predictions:    9678/  10000 (96.78%), best:    9704/10000 (97.04%), error:      1065.31067, best error:       980.88171 on epoch:    21, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 86.1967926025s, input_fired_time: 1.1059955359, output_fired_time: 1.2061880827, propagate_forward_time: 31.5176353455, propagate_backward_time: 49.8496131897, weight_update_time: 0.1647227705, other_time: 2.5173645020
epoch time: 6.7879862785s, input_fired_time: 0.1259302050, output_fired_time: 0.0000000000, propagate_forward_time: 6.2459115982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4161443710
validation[          , genome  7063] predictions:    9690/  10000 (96.90%), best:    9704/10000 (97.04%), error:      1069.53906, best error:       980.88171 on epoch:    21, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 86.4057693481s, input_fired_time: 1.1164819002, output_fired_time: 1.2023037672, propagate_forward_time: 31.6875705719, propagate_backward_time: 49.9943237305, weight_update_time: 0.1426917613, other_time: 2.4050903320
epoch time: 7.3871388435s, input_fired_time: 0.1532045156, output_fired_time: 0.0000000000, propagate_forward_time: 6.7184195518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5155148506
validation[          , genome  7063] predictions:    9624/  10000 (96.24%), best:    9704/10000 (97.04%), error:      1224.68665, best error:       980.88171 on epoch:    21, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 90.4855880737s, input_fired_time: 1.1456383467, output_fired_time: 1.2856868505, propagate_forward_time: 33.0991630554, propagate_backward_time: 52.3918762207, weight_update_time: 0.1547378153, other_time: 2.5632209778
epoch time: 7.5987005234s, input_fired_time: 0.1608207375, output_fired_time: 0.0000000000, propagate_forward_time: 6.9155287743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5223507881
validation[          , genome  7063] predictions:    9682/  10000 (96.82%), best:    9704/10000 (97.04%), error:      1059.58154, best error:       980.88171 on epoch:    21, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 105.6514282227s, input_fired_time: 1.3321174383, output_fired_time: 1.6678521633, propagate_forward_time: 38.5088958740, propagate_backward_time: 61.0811691284, weight_update_time: 0.1633232683, other_time: 3.0613937378
epoch time: 9.2033452988s, input_fired_time: 0.1547645032, output_fired_time: 0.0000000000, propagate_forward_time: 8.2363929749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8121881485
validation[          , genome  7063] predictions:    9679/  10000 (96.79%), best:    9704/10000 (97.04%), error:      1035.51477, best error:       980.88171 on epoch:    21, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 126.0668182373s, input_fired_time: 1.5413854122, output_fired_time: 1.9590216875, propagate_forward_time: 44.9884071350, propagate_backward_time: 73.6126632690, weight_update_time: 0.1640347242, other_time: 3.9653396606
epoch time: 7.2035770416s, input_fired_time: 0.1639449894, output_fired_time: 0.0000000000, propagate_forward_time: 6.5957283974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4439034462
validation[          , genome  7063] predictions:    9662/  10000 (96.62%), best:    9704/10000 (97.04%), error:      1140.87830, best error:       980.88171 on epoch:    21, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 99.1282958984s, input_fired_time: 1.2957115173, output_fired_time: 1.4081569910, propagate_forward_time: 36.3738136292, propagate_backward_time: 57.2221870422, weight_update_time: 0.1741314679, other_time: 2.8284225464
epoch time: 7.3828301430s, input_fired_time: 0.1415677518, output_fired_time: 0.0000000000, propagate_forward_time: 6.7444372177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4968252182
validation[          , genome  7063] predictions:    9719/  10000 (97.19%), best:    9719/10000 (97.19%), error:       942.63177, best error:       942.63177 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 101.4817047119s, input_fired_time: 1.3617432117, output_fired_time: 1.3047471046, propagate_forward_time: 37.5538864136, propagate_backward_time: 58.3481063843, weight_update_time: 0.1429526061, other_time: 2.9132232666
epoch time: 6.6385059357s, input_fired_time: 0.1257346272, output_fired_time: 0.0000000000, propagate_forward_time: 6.0510454178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4617257118
validation[          , genome  7063] predictions:    9717/  10000 (97.17%), best:    9719/10000 (97.19%), error:       962.38495, best error:       942.63177 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 94.5267562866s, input_fired_time: 1.1679396629, output_fired_time: 1.2279253006, propagate_forward_time: 34.8107795715, propagate_backward_time: 54.5946502686, weight_update_time: 0.1412145197, other_time: 2.7254600525
epoch time: 8.4862356186s, input_fired_time: 0.1699972451, output_fired_time: 0.0000000000, propagate_forward_time: 7.7495322227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5667061806
validation[          , genome  7063] predictions:    9690/  10000 (96.90%), best:    9719/10000 (97.19%), error:       999.53790, best error:       942.63177 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 100.2721252441s, input_fired_time: 1.1575491428, output_fired_time: 1.3484581709, propagate_forward_time: 37.0965080261, propagate_backward_time: 57.7172203064, weight_update_time: 0.1496589482, other_time: 2.9523925781
epoch time: 6.7340726852s, input_fired_time: 0.1325053573, output_fired_time: 0.0000000000, propagate_forward_time: 6.1284475327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4731197357
validation[          , genome  7063] predictions:    9709/  10000 (97.09%), best:    9719/10000 (97.19%), error:       994.43170, best error:       942.63177 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 104.8388748169s, input_fired_time: 1.3155794144, output_fired_time: 1.4409285784, propagate_forward_time: 38.1402091980, propagate_backward_time: 60.5634613037, weight_update_time: 0.1679033786, other_time: 3.3786964417
epoch time: 9.2841682434s, input_fired_time: 0.1649855077, output_fired_time: 0.0000000000, propagate_forward_time: 8.5484170914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5707654953
validation[          , genome  7063] predictions:    9683/  10000 (96.83%), best:    9719/10000 (97.19%), error:      1001.32666, best error:       942.63177 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 112.3558654785s, input_fired_time: 1.4228569269, output_fired_time: 1.4538972378, propagate_forward_time: 41.3084297180, propagate_backward_time: 65.0551605225, weight_update_time: 0.1785118729, other_time: 3.1155242920
epoch time: 8.0691537857s, input_fired_time: 0.1731402427, output_fired_time: 0.0000000000, propagate_forward_time: 7.4405426979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4554710388
validation[          , genome  7063] predictions:    9703/  10000 (97.03%), best:    9719/10000 (97.19%), error:       987.81348, best error:       942.63177 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 95.1301956177s, input_fired_time: 1.2061568499, output_fired_time: 1.2772476673, propagate_forward_time: 35.0813865662, propagate_backward_time: 54.9565925598, weight_update_time: 0.1492703259, other_time: 2.6088180542
epoch time: 7.1185903549s, input_fired_time: 0.1321648359, output_fired_time: 0.0000000000, propagate_forward_time: 6.5323004723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4541249275
validation[          , genome  7063] predictions:    9702/  10000 (97.02%), best:    9719/10000 (97.19%), error:       981.11163, best error:       942.63177 on epoch:    29, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 103.9980621338s, input_fired_time: 1.3192790747, output_fired_time: 1.4530287981, propagate_forward_time: 38.5223159790, propagate_backward_time: 59.7006111145, weight_update_time: 0.1512836367, other_time: 3.0028266907
epoch time: 7.5778384209s, input_fired_time: 0.1319130659, output_fired_time: 0.0000000000, propagate_forward_time: 6.9627385139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4831867218
validation[          , genome  7063] predictions:    9706/  10000 (97.06%), best:    9719/10000 (97.19%), error:       952.95154, best error:       942.63177 on epoch:    29, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 108.5374832153s, input_fired_time: 1.4123246670, output_fired_time: 1.5224537849, propagate_forward_time: 39.8172035217, propagate_backward_time: 62.6922225952, weight_update_time: 0.1877568513, other_time: 3.0932846069
epoch time: 8.2705373764s, input_fired_time: 0.1385320127, output_fired_time: 0.0000000000, propagate_forward_time: 7.5247173309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6072883606
validation[          , genome  7063] predictions:    9639/  10000 (96.39%), best:    9719/10000 (97.19%), error:      1177.20215, best error:       942.63177 on epoch:    29, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 125.4402313232s, input_fired_time: 1.6349353790, output_fired_time: 1.5120522976, propagate_forward_time: 45.8824653625, propagate_backward_time: 72.8352508545, weight_update_time: 0.1904288828, other_time: 3.5755310059
epoch time: 15.6034402847s, input_fired_time: 0.3072686791, output_fired_time: 0.0000000000, propagate_forward_time: 14.2075223923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0886487961
validation[          , genome  7063] predictions:    9650/  10000 (96.50%), best:    9719/10000 (97.19%), error:      1166.72583, best error:       942.63177 on epoch:    29, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 122.9895477295s, input_fired_time: 1.2714247704, output_fired_time: 1.6259971857, propagate_forward_time: 44.7619438171, propagate_backward_time: 71.7263717651, weight_update_time: 0.1886745542, other_time: 3.6038131714
epoch time: 8.7189006805s, input_fired_time: 0.1406214237, output_fired_time: 0.0000000000, propagate_forward_time: 8.0728282928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5054512024
validation[          , genome  7063] predictions:    9699/  10000 (96.99%), best:    9719/10000 (97.19%), error:       997.83765, best error:       942.63177 on epoch:    29, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 94.0888671875s, input_fired_time: 1.1852715015, output_fired_time: 1.3882352114, propagate_forward_time: 34.5617561340, propagate_backward_time: 54.2587051392, weight_update_time: 0.1706375331, other_time: 2.6948966980
epoch time: 9.4929180145s, input_fired_time: 0.2124255449, output_fired_time: 0.0000000000, propagate_forward_time: 8.6382999420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6421928406
validation[          , genome  7063] predictions:    9698/  10000 (96.98%), best:    9719/10000 (97.19%), error:       954.59900, best error:       942.63177 on epoch:    29, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 114.3861083984s, input_fired_time: 1.3752413988, output_fired_time: 1.4596706629, propagate_forward_time: 42.1588745117, propagate_backward_time: 65.9160308838, weight_update_time: 0.2171628028, other_time: 3.4762878418
epoch time: 9.1370830536s, input_fired_time: 0.1539836377, output_fired_time: 0.0000000000, propagate_forward_time: 8.4856357574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4974632263
validation[          , genome  7063] predictions:    9700/  10000 (97.00%), best:    9719/10000 (97.19%), error:      1001.11096, best error:       942.63177 on epoch:    29, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 95.9593048096s, input_fired_time: 1.2578302622, output_fired_time: 1.2932749987, propagate_forward_time: 35.3350181580, propagate_backward_time: 55.4346351624, weight_update_time: 0.1725232452, other_time: 2.6385498047
epoch time: 10.0509290695s, input_fired_time: 0.3843293786, output_fired_time: 0.0000000000, propagate_forward_time: 9.1009693146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5656299591
validation[          , genome  7063] predictions:    9722/  10000 (97.22%), best:    9722/10000 (97.22%), error:       921.68616, best error:       921.68616 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 123.3059616089s, input_fired_time: 1.6127361059, output_fired_time: 1.8700571060, propagate_forward_time: 44.4362030029, propagate_backward_time: 71.4735641479, weight_update_time: 0.2129681706, other_time: 3.9133987427
epoch time: 9.0234680176s, input_fired_time: 0.2536827624, output_fired_time: 0.0000000000, propagate_forward_time: 8.1371898651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6325950623
validation[          , genome  7063] predictions:    9732/  10000 (97.32%), best:    9732/10000 (97.32%), error:       909.49915, best error:       909.49915 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 96.2377166748s, input_fired_time: 1.3237955570, output_fired_time: 1.2740148306, propagate_forward_time: 34.9852447510, propagate_backward_time: 55.7881736755, weight_update_time: 0.1610103399, other_time: 2.8664817810
epoch time: 7.8833479881s, input_fired_time: 0.1896260083, output_fired_time: 0.0000000000, propagate_forward_time: 7.2116765976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4820451736
validation[          , genome  7063] predictions:    9673/  10000 (96.73%), best:    9732/10000 (97.32%), error:      1103.56494, best error:       909.49915 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 90.0507278442s, input_fired_time: 1.1697057486, output_fired_time: 1.3997893333, propagate_forward_time: 32.9462242126, propagate_backward_time: 51.8509063721, weight_update_time: 0.1624168605, other_time: 2.6841011047
epoch time: 7.1119751930s, input_fired_time: 0.1412134469, output_fired_time: 0.0000000000, propagate_forward_time: 6.5420103073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4287514687
validation[          , genome  7063] predictions:    9745/  10000 (97.45%), best:    9745/10000 (97.45%), error:       855.60876, best error:       855.60876 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 96.7178573608s, input_fired_time: 1.2270147800, output_fired_time: 1.2689077854, propagate_forward_time: 35.6122970581, propagate_backward_time: 55.7272605896, weight_update_time: 0.1971938163, other_time: 2.8823814392
epoch time: 7.2362217903s, input_fired_time: 0.1294973046, output_fired_time: 0.0000000000, propagate_forward_time: 6.6588726044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4478516579
validation[          , genome  7063] predictions:    9683/  10000 (96.83%), best:    9745/10000 (97.45%), error:      1035.38635, best error:       855.60876 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 134.5574951172s, input_fired_time: 1.5691502094, output_fired_time: 1.9627143145, propagate_forward_time: 49.2671203613, propagate_backward_time: 77.8295745850, weight_update_time: 0.2133362889, other_time: 3.9289398193
epoch time: 15.5053977966s, input_fired_time: 0.3696839213, output_fired_time: 0.0000000000, propagate_forward_time: 14.3536157608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7820978165
validation[          , genome  7063] predictions:    9712/  10000 (97.12%), best:    9745/10000 (97.45%), error:       982.41461, best error:       855.60876 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 117.5912246704s, input_fired_time: 1.3368569613, output_fired_time: 1.5617257357, propagate_forward_time: 42.6491813660, propagate_backward_time: 68.6268157959, weight_update_time: 0.1844473630, other_time: 3.4166412354
epoch time: 6.7945127487s, input_fired_time: 0.1459541470, output_fired_time: 0.0000000000, propagate_forward_time: 6.2217497826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4268088341
validation[          , genome  7063] predictions:    9691/  10000 (96.91%), best:    9745/10000 (97.45%), error:       976.09937, best error:       855.60876 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 89.0390548706s, input_fired_time: 1.1458297968, output_fired_time: 1.2468551397, propagate_forward_time: 32.6564445496, propagate_backward_time: 51.4812850952, weight_update_time: 0.1706517190, other_time: 2.5086402893
epoch time: 8.1013698578s, input_fired_time: 0.1309161037, output_fired_time: 0.0000000000, propagate_forward_time: 7.3372583389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6331954002
validation[          , genome  7063] predictions:    9722/  10000 (97.22%), best:    9745/10000 (97.45%), error:       895.18677, best error:       855.60876 on epoch:    45, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 92.9045257568s, input_fired_time: 1.3383120298, output_fired_time: 1.3417992592, propagate_forward_time: 33.9334297180, propagate_backward_time: 53.5848617554, weight_update_time: 0.1415629238, other_time: 2.7061271667
epoch time: 8.6919507980s, input_fired_time: 0.1570740789, output_fired_time: 0.0000000000, propagate_forward_time: 7.8703360558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6645407677
validation[          , genome  7063] predictions:    9735/  10000 (97.35%), best:    9745/10000 (97.45%), error:       889.45007, best error:       855.60876 on epoch:    45, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 6591.6308593750s, input_fired_time: 1.1183714867, output_fired_time: 1.2101116180, propagate_forward_time: 32.3608055115, propagate_backward_time: 6554.0053710938, weight_update_time: 0.1614247561, other_time: 2.9365234375
epoch time: 7.3839035034s, input_fired_time: 0.1418246329, output_fired_time: 0.0000000000, propagate_forward_time: 6.6767921448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5652866364
validation[          , genome  7063] predictions:    9743/  10000 (97.43%), best:    9745/10000 (97.45%), error:       896.15588, best error:       855.60876 on epoch:    45, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 93.5416641235s, input_fired_time: 1.1684087515, output_fired_time: 1.2545795441, propagate_forward_time: 33.8560714722, propagate_backward_time: 54.4784584045, weight_update_time: 0.1501518637, other_time: 2.7841453552
epoch time: 7.2040257454s, input_fired_time: 0.1325273514, output_fired_time: 0.0000000000, propagate_forward_time: 6.5709247589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5005736351
validation[          , genome  7063] predictions:    9635/  10000 (96.35%), best:    9745/10000 (97.45%), error:      1170.89673, best error:       855.60876 on epoch:    45, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 94.1469802856s, input_fired_time: 1.2044048309, output_fired_time: 1.3091380596, propagate_forward_time: 34.3160400391, propagate_backward_time: 54.6484413147, weight_update_time: 0.1546946615, other_time: 2.6689567566
epoch time: 7.1608843803s, input_fired_time: 0.1399546713, output_fired_time: 0.0000000000, propagate_forward_time: 6.5616116524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4593181610
validation[          , genome  7063] predictions:    9726/  10000 (97.26%), best:    9745/10000 (97.45%), error:       946.28125, best error:       855.60876 on epoch:    45, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 88.2299041748s, input_fired_time: 1.1358377934, output_fired_time: 1.1663457155, propagate_forward_time: 32.3838310242, propagate_backward_time: 50.9789733887, weight_update_time: 0.1474183053, other_time: 2.5649147034
epoch time: 6.5312347412s, input_fired_time: 0.1280169934, output_fired_time: 0.0000000000, propagate_forward_time: 5.9622244835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4409933090
validation[          , genome  7063] predictions:    9731/  10000 (97.31%), best:    9745/10000 (97.45%), error:       912.35199, best error:       855.60876 on epoch:    45, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 88.1036911011s, input_fired_time: 1.1574045420, output_fired_time: 1.1851255894, propagate_forward_time: 32.4428367615, propagate_backward_time: 50.7775993347, weight_update_time: 0.1530380696, other_time: 2.5407257080
epoch time: 6.9979839325s, input_fired_time: 0.1326771677, output_fired_time: 0.0000000000, propagate_forward_time: 6.3932619095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4720449448
validation[          , genome  7063] predictions:    9749/  10000 (97.49%), best:    9745/10000 (97.45%), error:       876.17993, best error:       855.60876 on epoch:    45, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 87.0492477417s, input_fired_time: 1.0814818144, output_fired_time: 1.1569550037, propagate_forward_time: 31.8728656769, propagate_backward_time: 50.4709434509, weight_update_time: 0.1423362046, other_time: 2.4670066833
epoch time: 6.7489266396s, input_fired_time: 0.1301780194, output_fired_time: 0.0000000000, propagate_forward_time: 6.1584429741, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4603056908
validation[          , genome  7063] predictions:    9737/  10000 (97.37%), best:    9745/10000 (97.45%), error:       883.38641, best error:       855.60876 on epoch:    45, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 94.4312820435s, input_fired_time: 1.2660660744, output_fired_time: 1.3192292452, propagate_forward_time: 34.3117027283, propagate_backward_time: 54.8008079529, weight_update_time: 0.1458842605, other_time: 2.7334747314
epoch time: 6.7070064545s, input_fired_time: 0.1566103399, output_fired_time: 0.0000000000, propagate_forward_time: 6.1014280319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4489679337
validation[          , genome  7063] predictions:    9722/  10000 (97.22%), best:    9745/10000 (97.45%), error:       934.39716, best error:       855.60876 on epoch:    45, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 99.1755752563s, input_fired_time: 1.2607830763, output_fired_time: 1.4091557264, propagate_forward_time: 35.8390541077, propagate_backward_time: 57.5082626343, weight_update_time: 0.1719588041, other_time: 3.1583213806
epoch time: 9.2951297760s, input_fired_time: 0.1757944226, output_fired_time: 0.0000000000, propagate_forward_time: 8.4142217636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7051134109
validation[          , genome  7063] predictions:    9697/  10000 (96.97%), best:    9745/10000 (97.45%), error:       983.54169, best error:       855.60876 on epoch:    45, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 102.4387130737s, input_fired_time: 1.2743238211, output_fired_time: 1.5113500357, propagate_forward_time: 37.6160545349, propagate_backward_time: 59.0633773804, weight_update_time: 0.1677193344, other_time: 2.9736061096
epoch time: 7.5006656647s, input_fired_time: 0.1449624896, output_fired_time: 0.0000000000, propagate_forward_time: 6.8220605850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5336427689
validation[          , genome  7063] predictions:    9691/  10000 (96.91%), best:    9745/10000 (97.45%), error:      1002.15540, best error:       855.60876 on epoch:    45, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 97.2278900146s, input_fired_time: 1.2386264801, output_fired_time: 1.4239656925, propagate_forward_time: 35.7987785339, propagate_backward_time: 56.0807380676, weight_update_time: 0.1406947374, other_time: 2.6857833862
epoch time: 6.8554625511s, input_fired_time: 0.1516762376, output_fired_time: 0.0000000000, propagate_forward_time: 6.2639813423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4398050308
validation[          , genome  7063] predictions:    9724/  10000 (97.24%), best:    9745/10000 (97.45%), error:       920.26508, best error:       855.60876 on epoch:    45, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 98.1622619629s, input_fired_time: 1.2655898333, output_fired_time: 1.3900222778, propagate_forward_time: 36.2399024963, propagate_backward_time: 56.3907699585, weight_update_time: 0.1440212429, other_time: 2.8759803772
epoch time: 9.1485481262s, input_fired_time: 0.1502964348, output_fired_time: 0.0000000000, propagate_forward_time: 8.4813756943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5168762207
validation[          , genome  7063] predictions:    9730/  10000 (97.30%), best:    9745/10000 (97.45%), error:       905.88483, best error:       855.60876 on epoch:    45, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 107.5588378906s, input_fired_time: 1.4729664326, output_fired_time: 1.3264189959, propagate_forward_time: 39.3526725769, propagate_backward_time: 62.3631858826, weight_update_time: 0.1662344187, other_time: 3.0435981750
epoch time: 8.0057792664s, input_fired_time: 0.1902098209, output_fired_time: 0.0000000000, propagate_forward_time: 7.2502589226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5653104782
validation[          , genome  7063] predictions:    9721/  10000 (97.21%), best:    9745/10000 (97.45%), error:       927.54211, best error:       855.60876 on epoch:    45, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 93.6729278564s, input_fired_time: 1.2092864513, output_fired_time: 1.2275756598, propagate_forward_time: 34.4218139648, propagate_backward_time: 54.0679893494, weight_update_time: 0.1430211216, other_time: 2.7462577820
epoch time: 7.8489413261s, input_fired_time: 0.1615615338, output_fired_time: 0.0000000000, propagate_forward_time: 7.2270832062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4602966309
validation[          , genome  7063] predictions:    9721/  10000 (97.21%), best:    9745/10000 (97.45%), error:       957.44122, best error:       855.60876 on epoch:    45, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 94.4367294312s, input_fired_time: 1.2098433971, output_fired_time: 1.3444544077, propagate_forward_time: 34.4981498718, propagate_backward_time: 54.6405906677, weight_update_time: 0.1374901384, other_time: 2.7436904907
epoch time: 7.4898152351s, input_fired_time: 0.1641068310, output_fired_time: 0.0000000000, propagate_forward_time: 6.7477827072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5779256821
validation[          , genome  7063] predictions:    9720/  10000 (97.20%), best:    9745/10000 (97.45%), error:       921.69958, best error:       855.60876 on epoch:    45, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 95.6468429565s, input_fired_time: 1.2115969658, output_fired_time: 1.3257464170, propagate_forward_time: 35.0534744263, propagate_backward_time: 55.4272918701, weight_update_time: 0.1518716961, other_time: 2.6287384033
epoch time: 7.3802356720s, input_fired_time: 0.1399978101, output_fired_time: 0.0000000000, propagate_forward_time: 6.7269482613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5132894516
validation[          , genome  7063] predictions:    9713/  10000 (97.13%), best:    9745/10000 (97.45%), error:       971.19269, best error:       855.60876 on epoch:    45, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 91.7313232422s, input_fired_time: 1.1122859716, output_fired_time: 1.3014007807, propagate_forward_time: 33.8173561096, propagate_backward_time: 52.9095230103, weight_update_time: 0.1384057552, other_time: 2.5907554626
epoch time: 8.1697406769s, input_fired_time: 0.1439896524, output_fired_time: 0.0000000000, propagate_forward_time: 7.5238566399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5018944740
validation[          , genome  7063] predictions:    9736/  10000 (97.36%), best:    9745/10000 (97.45%), error:       893.12488, best error:       855.60876 on epoch:    45, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 98.3209228516s, input_fired_time: 1.2291311026, output_fired_time: 1.3223797083, propagate_forward_time: 35.6480407715, propagate_backward_time: 57.2856559753, weight_update_time: 0.1372405589, other_time: 2.8357124329
epoch time: 8.6066017151s, input_fired_time: 0.2219386548, output_fired_time: 0.0000000000, propagate_forward_time: 7.8554959297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5291666985
validation[          , genome  7063] predictions:    9726/  10000 (97.26%), best:    9745/10000 (97.45%), error:       921.65411, best error:       855.60876 on epoch:    45, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 107.3947296143s, input_fired_time: 1.4137135744, output_fired_time: 1.4520705938, propagate_forward_time: 39.4557609558, propagate_backward_time: 62.0025558472, weight_update_time: 0.1678815186, other_time: 3.0706253052
epoch time: 8.0727891922s, input_fired_time: 0.1379587650, output_fired_time: 0.0000000000, propagate_forward_time: 7.3801126480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5547180176
validation[          , genome  7063] predictions:    9713/  10000 (97.13%), best:    9745/10000 (97.45%), error:       972.63702, best error:       855.60876 on epoch:    45, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 104.6003952026s, input_fired_time: 1.3578009605, output_fired_time: 1.6205341816, propagate_forward_time: 37.8311271667, propagate_backward_time: 60.7726249695, weight_update_time: 0.1633331031, other_time: 3.0183029175
epoch time: 8.5697717667s, input_fired_time: 0.1673680544, output_fired_time: 0.0000000000, propagate_forward_time: 7.8933396339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5090641975
validation[          , genome  7063] predictions:    9706/  10000 (97.06%), best:    9745/10000 (97.45%), error:       948.06451, best error:       855.60876 on epoch:    45, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 91.7640914917s, input_fired_time: 1.1220377684, output_fired_time: 1.2185283899, propagate_forward_time: 33.7071952820, propagate_backward_time: 52.8856468201, weight_update_time: 0.1389810741, other_time: 2.8306808472
epoch time: 7.8102469444s, input_fired_time: 0.1768848002, output_fired_time: 0.0000000000, propagate_forward_time: 7.1112542152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5221080780
validation[          , genome  7063] predictions:    9717/  10000 (97.17%), best:    9745/10000 (97.45%), error:       939.38812, best error:       855.60876 on epoch:    45, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 108.0940017700s, input_fired_time: 1.4487518072, output_fired_time: 1.3679611683, propagate_forward_time: 38.9874801636, propagate_backward_time: 62.8828582764, weight_update_time: 0.2085435092, other_time: 3.4069519043
epoch time: 8.3525543213s, input_fired_time: 0.1822045594, output_fired_time: 0.0000000000, propagate_forward_time: 7.6592135429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5111365318
validation[          , genome  7063] predictions:    9724/  10000 (97.24%), best:    9745/10000 (97.45%), error:       898.81073, best error:       855.60876 on epoch:    45, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 118.2906646729s, input_fired_time: 2.0699214935, output_fired_time: 1.3931967020, propagate_forward_time: 47.8966636658, propagate_backward_time: 63.9529800415, weight_update_time: 0.1538816243, other_time: 2.9778976440
epoch time: 7.1455283165s, input_fired_time: 0.1352175623, output_fired_time: 0.0000000000, propagate_forward_time: 6.5229306221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4873800278
validation[          , genome  7063] predictions:    9696/  10000 (96.96%), best:    9745/10000 (97.45%), error:       991.35406, best error:       855.60876 on epoch:    45, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 110.3609008789s, input_fired_time: 1.6092349291, output_fired_time: 1.6095206738, propagate_forward_time: 40.3716354370, propagate_backward_time: 63.7229576111, weight_update_time: 0.1680570692, other_time: 3.0475502014
epoch time: 7.6840324402s, input_fired_time: 0.1565149724, output_fired_time: 0.0000000000, propagate_forward_time: 7.0141234398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5133938789
validation[          , genome  7063] predictions:    9702/  10000 (97.02%), best:    9745/10000 (97.45%), error:      1029.37122, best error:       855.60876 on epoch:    45, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 101.7207336426s, input_fired_time: 1.3996733427, output_fired_time: 1.4564374685, propagate_forward_time: 37.2477836609, propagate_backward_time: 58.7932624817, weight_update_time: 0.1823940724, other_time: 2.8235778809
epoch time: 7.0824108124s, input_fired_time: 0.1345480382, output_fired_time: 0.0000000000, propagate_forward_time: 6.4890656471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4587969780
validation[          , genome  7063] predictions:    9679/  10000 (96.79%), best:    9745/10000 (97.45%), error:      1064.88928, best error:       855.60876 on epoch:    45, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 92.4814834595s, input_fired_time: 1.1053436995, output_fired_time: 1.2953071594, propagate_forward_time: 34.3139152527, propagate_backward_time: 53.1188888550, weight_update_time: 0.1434736550, other_time: 2.6480216980
epoch time: 8.3697109222s, input_fired_time: 0.1606695354, output_fired_time: 0.0000000000, propagate_forward_time: 7.6867761612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5222654343
validation[          , genome  7063] predictions:    9730/  10000 (97.30%), best:    9745/10000 (97.45%), error:       892.22412, best error:       855.60876 on epoch:    45, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 108.8898391724s, input_fired_time: 1.4586445093, output_fired_time: 1.3971658945, propagate_forward_time: 39.7082176208, propagate_backward_time: 62.9675216675, weight_update_time: 0.2333203852, other_time: 3.3582992554
epoch time: 7.9923095703s, input_fired_time: 0.1568597406, output_fired_time: 0.0000000000, propagate_forward_time: 7.3127741814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5226755142
validation[          , genome  7063] predictions:    9661/  10000 (96.61%), best:    9745/10000 (97.45%), error:      1084.59326, best error:       855.60876 on epoch:    45, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 103.6915130615s, input_fired_time: 1.3581886292, output_fired_time: 1.5381469727, propagate_forward_time: 37.9374198914, propagate_backward_time: 59.8417358398, weight_update_time: 0.1452092677, other_time: 3.0160255432
epoch time: 8.1162204742s, input_fired_time: 0.2177831680, output_fired_time: 0.0000000000, propagate_forward_time: 7.3900203705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5084171295
validation[          , genome  7063] predictions:    9695/  10000 (96.95%), best:    9745/10000 (97.45%), error:       927.58264, best error:       855.60876 on epoch:    45, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 98.9154510498s, input_fired_time: 1.3445591927, output_fired_time: 1.3377898932, propagate_forward_time: 35.9304237366, propagate_backward_time: 57.5190238953, weight_update_time: 0.1950127333, other_time: 2.7836532593
epoch time: 8.1378097534s, input_fired_time: 0.1337961107, output_fired_time: 0.0000000000, propagate_forward_time: 7.4479093552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5561046600
validation[          , genome  7063] predictions:    9675/  10000 (96.75%), best:    9745/10000 (97.45%), error:      1027.20361, best error:       855.60876 on epoch:    45, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 104.8841171265s, input_fired_time: 1.1978942156, output_fired_time: 1.4509098530, propagate_forward_time: 38.3090553284, propagate_backward_time: 60.7978096008, weight_update_time: 0.1716631055, other_time: 3.1284484863
epoch time: 7.7261672020s, input_fired_time: 0.1279194653, output_fired_time: 0.0000000000, propagate_forward_time: 7.1416959763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4565515518
validation[          , genome  7063] predictions:    9726/  10000 (97.26%), best:    9745/10000 (97.45%), error:       893.99005, best error:       855.60876 on epoch:    45, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 96.5861816406s, input_fired_time: 1.3262788057, output_fired_time: 1.4030107260, propagate_forward_time: 35.3337593079, propagate_backward_time: 55.8339996338, weight_update_time: 0.1440706551, other_time: 2.6891365051
epoch time: 9.1890335083s, input_fired_time: 0.2247132957, output_fired_time: 0.0000000000, propagate_forward_time: 8.4818954468, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4824247360
validation[          , genome  7063] predictions:    9730/  10000 (97.30%), best:    9745/10000 (97.45%), error:       894.84442, best error:       855.60876 on epoch:    45, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 101.0808029175s, input_fired_time: 1.1818081141, output_fired_time: 1.4012397528, propagate_forward_time: 37.2937049866, propagate_backward_time: 58.3217430115, weight_update_time: 0.2156660259, other_time: 2.8823089600
epoch time: 7.7879772186s, input_fired_time: 0.1669481844, output_fired_time: 0.0000000000, propagate_forward_time: 7.1732625961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4477663040
validation[          , genome  7063] predictions:    9736/  10000 (97.36%), best:    9745/10000 (97.45%), error:       897.93304, best error:       855.60876 on epoch:    45, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 89.0126800537s, input_fired_time: 1.0956785679, output_fired_time: 1.1971318722, propagate_forward_time: 32.9123191833, propagate_backward_time: 51.2608604431, weight_update_time: 0.1490796208, other_time: 2.5466918945
epoch time: 8.2838249207s, input_fired_time: 0.1494641453, output_fired_time: 0.0000000000, propagate_forward_time: 7.5392055511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5951547623
validation[          , genome  7063] predictions:    9734/  10000 (97.34%), best:    9745/10000 (97.45%), error:       873.75500, best error:       855.60876 on epoch:    45, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 96.6651077271s, input_fired_time: 1.2694730759, output_fired_time: 1.4021490812, propagate_forward_time: 35.3680953979, propagate_backward_time: 55.7425117493, weight_update_time: 0.1478576958, other_time: 2.8828849792
epoch time: 7.3650093079s, input_fired_time: 0.1309354305, output_fired_time: 0.0000000000, propagate_forward_time: 6.7533864975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4806871414
validation[          , genome  7063] predictions:    9679/  10000 (96.79%), best:    9745/10000 (97.45%), error:      1052.39954, best error:       855.60876 on epoch:    45, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 101.5103378296s, input_fired_time: 1.2045767307, output_fired_time: 1.4781873226, propagate_forward_time: 36.9276771545, propagate_backward_time: 58.9400901794, weight_update_time: 0.1613664329, other_time: 2.9598083496
epoch time: 7.4493069649s, input_fired_time: 0.1689606905, output_fired_time: 0.0000000000, propagate_forward_time: 6.7599873543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5203590393
validation[          , genome  7063] predictions:    9640/  10000 (96.40%), best:    9745/10000 (97.45%), error:      1157.04919, best error:       855.60876 on epoch:    45, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 98.8682250977s, input_fired_time: 1.2105487585, output_fired_time: 1.3817915916, propagate_forward_time: 35.9734115601, propagate_backward_time: 57.5227508545, weight_update_time: 0.1608235240, other_time: 2.7797241211
epoch time: 7.2994346619s, input_fired_time: 0.1697498113, output_fired_time: 0.0000000000, propagate_forward_time: 6.6606464386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4690384865
validation[          , genome  7063] predictions:    9723/  10000 (97.23%), best:    9745/10000 (97.45%), error:       971.73352, best error:       855.60876 on epoch:    45, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 94.0901336670s, input_fired_time: 1.1667755842, output_fired_time: 1.2768722773, propagate_forward_time: 34.7729034424, propagate_backward_time: 54.1331253052, weight_update_time: 0.1392182112, other_time: 2.7404556274
epoch time: 7.9838762283s, input_fired_time: 0.1552100778, output_fired_time: 0.0000000000, propagate_forward_time: 7.2310967445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5975694656
validation[          , genome  7063] predictions:    9708/  10000 (97.08%), best:    9745/10000 (97.45%), error:       967.80310, best error:       855.60876 on epoch:    45, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 89.1819686890s, input_fired_time: 1.1496853828, output_fired_time: 1.1472221613, propagate_forward_time: 32.9965476990, propagate_backward_time: 51.2780265808, weight_update_time: 0.1632429063, other_time: 2.6104812622
epoch time: 6.8242635727s, input_fired_time: 0.1310425401, output_fired_time: 0.0000000000, propagate_forward_time: 6.2771639824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4160571098
validation[          , genome  7063] predictions:    9661/  10000 (96.61%), best:    9745/10000 (97.45%), error:      1097.13818, best error:       855.60876 on epoch:    45, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 85.8118972778s, input_fired_time: 1.0510889292, output_fired_time: 1.1191664934, propagate_forward_time: 31.8946971893, propagate_backward_time: 49.3157234192, weight_update_time: 0.1477406621, other_time: 2.4312248230
epoch time: 6.7087802887s, input_fired_time: 0.1300636232, output_fired_time: 0.0000000000, propagate_forward_time: 6.1575822830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4211344719
validation[          , genome  7063] predictions:    9719/  10000 (97.19%), best:    9745/10000 (97.45%), error:       922.59192, best error:       855.60876 on epoch:    45, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 87.2582092285s, input_fired_time: 1.0969226360, output_fired_time: 1.1945290565, propagate_forward_time: 32.1405105591, propagate_backward_time: 50.3391304016, weight_update_time: 0.1394435763, other_time: 2.4871177673
epoch time: 7.1221079826s, input_fired_time: 0.1360504478, output_fired_time: 0.0000000000, propagate_forward_time: 6.5323591232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4536986351
validation[          , genome  7063] predictions:    9592/  10000 (95.92%), best:    9745/10000 (97.45%), error:      1233.36462, best error:       855.60876 on epoch:    45, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 86.0392150879s, input_fired_time: 1.0855664015, output_fired_time: 1.2311819792, propagate_forward_time: 31.7006454468, propagate_backward_time: 49.6300125122, weight_update_time: 0.1356101185, other_time: 2.3918151855
epoch time: 6.8658399582s, input_fired_time: 0.1412701458, output_fired_time: 0.0000000000, propagate_forward_time: 6.2956995964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4288702011
validation[          , genome  7063] predictions:    9705/  10000 (97.05%), best:    9745/10000 (97.45%), error:       988.30237, best error:       855.60876 on epoch:    45, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 84.7053680420s, input_fired_time: 1.0796405077, output_fired_time: 1.1667561531, propagate_forward_time: 31.2892589569, propagate_backward_time: 48.7728347778, weight_update_time: 0.1365782171, other_time: 2.3968734741
epoch time: 7.1357636452s, input_fired_time: 0.1465702057, output_fired_time: 0.0000000000, propagate_forward_time: 6.5476164818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4415769577
validation[          , genome  7063] predictions:    9728/  10000 (97.28%), best:    9745/10000 (97.45%), error:       922.39948, best error:       855.60876 on epoch:    45, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 91.1106262207s, input_fired_time: 1.1442145109, output_fired_time: 1.2557115555, propagate_forward_time: 33.8332290649, propagate_backward_time: 52.2509765625, weight_update_time: 0.1478497386, other_time: 2.6264953613
epoch time: 8.6059617996s, input_fired_time: 0.1616064757, output_fired_time: 0.0000000000, propagate_forward_time: 7.8141727448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6301822662
validation[          , genome  7063] predictions:    9707/  10000 (97.07%), best:    9745/10000 (97.45%), error:       958.01556, best error:       855.60876 on epoch:    45, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 99.2445220947s, input_fired_time: 1.1750236750, output_fired_time: 1.3762197495, propagate_forward_time: 36.2063102722, propagate_backward_time: 57.3391761780, weight_update_time: 0.1731767207, other_time: 3.1477890015
epoch time: 7.6235933304s, input_fired_time: 0.1327365637, output_fired_time: 0.0000000000, propagate_forward_time: 6.9997043610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4911522865
validation[          , genome  7063] predictions:    9729/  10000 (97.29%), best:    9745/10000 (97.45%), error:       878.09796, best error:       855.60876 on epoch:    45, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 96.4439468384s, input_fired_time: 1.2291668653, output_fired_time: 1.3001623154, propagate_forward_time: 35.4073677063, propagate_backward_time: 55.6350669861, weight_update_time: 0.1764735132, other_time: 2.8721847534
epoch time: 8.3814802170s, input_fired_time: 0.1764425933, output_fired_time: 0.0000000000, propagate_forward_time: 7.5125336647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6925044060
validation[          , genome  7063] predictions:    9721/  10000 (97.21%), best:    9745/10000 (97.45%), error:       909.00720, best error:       855.60876 on epoch:    45, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 94.7728271484s, input_fired_time: 1.2750732899, output_fired_time: 1.2013396025, propagate_forward_time: 34.6617698669, propagate_backward_time: 54.8134422302, weight_update_time: 0.2131909877, other_time: 2.8212051392
epoch time: 7.8594293594s, input_fired_time: 0.2139589787, output_fired_time: 0.0000000000, propagate_forward_time: 7.2002916336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4451789856
validation[          , genome  7063] predictions:    9741/  10000 (97.41%), best:    9745/10000 (97.45%), error:       876.69403, best error:       855.60876 on epoch:    45, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 90.9221725464s, input_fired_time: 1.1876928806, output_fired_time: 1.3363300562, propagate_forward_time: 33.2491836548, propagate_backward_time: 52.4702491760, weight_update_time: 0.1495727897, other_time: 2.6787223816
epoch time: 8.2858648300s, input_fired_time: 0.1623095572, output_fired_time: 0.0000000000, propagate_forward_time: 7.5729570389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5505981445
validation[          , genome  7063] predictions:    9620/  10000 (96.20%), best:    9745/10000 (97.45%), error:      1197.73547, best error:       855.60876 on epoch:    45, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 97.5505447388s, input_fired_time: 1.2633014917, output_fired_time: 1.3165669441, propagate_forward_time: 36.1847915649, propagate_backward_time: 56.1763191223, weight_update_time: 0.1679154783, other_time: 2.6095695496
epoch time: 7.9867544174s, input_fired_time: 0.1443258971, output_fired_time: 0.0000000000, propagate_forward_time: 7.2653398514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5770888329
validation[          , genome  7063] predictions:    9703/  10000 (97.03%), best:    9745/10000 (97.45%), error:       981.69116, best error:       855.60876 on epoch:    45, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 102.3794784546s, input_fired_time: 1.2370344400, output_fired_time: 1.4098901749, propagate_forward_time: 38.0703697205, propagate_backward_time: 58.6782608032, weight_update_time: 0.1971529126, other_time: 2.9839210510
epoch time: 7.8556075096s, input_fired_time: 0.1545818597, output_fired_time: 0.0000000000, propagate_forward_time: 7.2368226051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4642028809
validation[          , genome  7063] predictions:    9627/  10000 (96.27%), best:    9745/10000 (97.45%), error:      1304.53625, best error:       855.60876 on epoch:    45, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 93.6369247437s, input_fired_time: 1.3001543283, output_fired_time: 1.3264529705, propagate_forward_time: 34.4140167236, propagate_backward_time: 53.8175277710, weight_update_time: 0.1418936551, other_time: 2.7787704468
epoch time: 7.9573078156s, input_fired_time: 0.1788456589, output_fired_time: 0.0000000000, propagate_forward_time: 7.2434906960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5349712372
validation[          , genome  7063] predictions:    9670/  10000 (96.70%), best:    9745/10000 (97.45%), error:      1061.38525, best error:       855.60876 on epoch:    45, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 104.9758987427s, input_fired_time: 1.4431711435, output_fired_time: 1.4550985098, propagate_forward_time: 38.4013061523, propagate_backward_time: 60.7493972778, weight_update_time: 0.1640661806, other_time: 2.9269256592
epoch time: 9.3396053314s, input_fired_time: 0.2088871300, output_fired_time: 0.0000000000, propagate_forward_time: 8.6494922638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4812259674
validation[          , genome  7063] predictions:    9716/  10000 (97.16%), best:    9745/10000 (97.45%), error:       917.32526, best error:       855.60876 on epoch:    45, 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: 40.6459503174s, input_fired_time: 0.8281045556, output_fired_time: 0.0000000000, propagate_forward_time: 36.9278869629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8899574280
best training[          , genome  7063] predictions:   49329/  50000 (98.66%), best:    9745/10000 (97.45%), error:      2503.84912, best error:       855.60876 on epoch:    45, 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: 7.3359055519s, input_fired_time: 0.1332343966, output_fired_time: 0.0000000000, propagate_forward_time: 6.5384368896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6642341614
   testing[          , genome  7063] predictions:    9780/  10000 (97.80%), best:    9745/10000 (97.45%), error:       728.75012, best error:       855.60876 on epoch:    45, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:02:28 (81564): called boinc_finish(0)

</stderr_txt>
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