Nameexact_genome_1512568488_43_4485_0
Workunit2593751
Created7 Dec 2017, 10:12:02 UTC
Sent7 Dec 2017, 10:17:33 UTC
Report deadline13 Dec 2017, 13:44:02 UTC
Received7 Dec 2017, 21:41:03 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID57373
Run time3 hours 16 min 39 sec
CPU time3 hours 15 min 37 sec
Validate stateValid
Credit1,535.85
Device peak FLOPS3.51 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.27 MB
Peak swap size157.60 MB
Peak disk usage1.75 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
.9678673744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4851937294
validation[          , genome  4485] predictions:    9545/  10000 (95.45%), best:    9617/10000 (96.17%), error:      1524.39050, best error:      1299.00000 on epoch:    11, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 106.3006973267s, input_fired_time: 1.0100582838, output_fired_time: 0.8966575861, propagate_forward_time: 40.0346641541, propagate_backward_time: 61.5385513306, weight_update_time: 0.1315166205, other_time: 2.8207626343
epoch time: 8.6860170364s, input_fired_time: 0.1313800663, output_fired_time: 0.0000000000, propagate_forward_time: 8.0435352325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5111017227
validation[          , genome  4485] predictions:    9590/  10000 (95.90%), best:    9617/10000 (96.17%), error:      1380.65186, best error:      1299.00000 on epoch:    11, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 105.7668228149s, input_fired_time: 1.0180363655, output_fired_time: 0.9055848718, propagate_forward_time: 39.7832107544, propagate_backward_time: 61.2584037781, weight_update_time: 0.1311054528, other_time: 2.8015861511
epoch time: 8.8210563660s, input_fired_time: 0.1334167272, output_fired_time: 0.0000000000, propagate_forward_time: 8.1719999313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5156393051
validation[          , genome  4485] predictions:    9598/  10000 (95.98%), best:    9617/10000 (96.17%), error:      1305.19824, best error:      1299.00000 on epoch:    11, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 105.9298782349s, input_fired_time: 1.0163620710, output_fired_time: 0.8944250345, propagate_forward_time: 39.7649650574, propagate_backward_time: 61.4622459412, weight_update_time: 0.1318835616, other_time: 2.7918739319
epoch time: 8.5604963303s, input_fired_time: 0.1274729222, output_fired_time: 0.0000000000, propagate_forward_time: 7.9464702606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4865531921
validation[          , genome  4485] predictions:    9562/  10000 (95.62%), best:    9617/10000 (96.17%), error:      1406.14575, best error:      1299.00000 on epoch:    11, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 106.3195419312s, input_fired_time: 1.0147309303, output_fired_time: 0.9042714238, propagate_forward_time: 40.0666122437, propagate_backward_time: 61.5248336792, weight_update_time: 0.1324869096, other_time: 2.8090896606
epoch time: 8.6175022125s, input_fired_time: 0.1271924227, output_fired_time: 0.0000000000, propagate_forward_time: 8.0011882782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4891214371
validation[          , genome  4485] predictions:    9619/  10000 (96.19%), best:    9619/10000 (96.19%), error:      1288.23767, best error:      1288.23767 on epoch:    18, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 106.7135162354s, input_fired_time: 1.0438148975, output_fired_time: 0.9033460617, propagate_forward_time: 40.1262969971, propagate_backward_time: 61.7711372375, weight_update_time: 0.1329995096, other_time: 2.8689231873
epoch time: 9.0773334503s, input_fired_time: 0.1292893589, output_fired_time: 0.0000000000, propagate_forward_time: 8.4328594208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5151844025
validation[          , genome  4485] predictions:    9559/  10000 (95.59%), best:    9619/10000 (96.19%), error:      1451.91895, best error:      1288.23767 on epoch:    18, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 106.7847290039s, input_fired_time: 1.0219066143, output_fired_time: 0.9094327688, propagate_forward_time: 40.2656593323, propagate_backward_time: 61.7613716125, weight_update_time: 0.1319609135, other_time: 2.8263664246
epoch time: 8.7614507675s, input_fired_time: 0.1334217936, output_fired_time: 0.0000000000, propagate_forward_time: 8.1054258347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5226030350
validation[          , genome  4485] predictions:    9607/  10000 (96.07%), best:    9607/10000 (96.07%), error:      1283.41467, best error:      1283.41467 on epoch:    20, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 107.4462966919s, input_fired_time: 1.0468721390, output_fired_time: 0.9128856063, propagate_forward_time: 40.4436950684, propagate_backward_time: 62.1346511841, weight_update_time: 0.1343345344, other_time: 2.9081878662
epoch time: 8.5737152100s, input_fired_time: 0.1303703040, output_fired_time: 0.0000000000, propagate_forward_time: 7.9365410805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5068039894
validation[          , genome  4485] predictions:    9573/  10000 (95.73%), best:    9607/10000 (96.07%), error:      1438.69043, best error:      1283.41467 on epoch:    20, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 106.2848587036s, input_fired_time: 1.0357366800, output_fired_time: 0.9082289338, propagate_forward_time: 40.0595359802, propagate_backward_time: 61.4579467773, weight_update_time: 0.1321943253, other_time: 2.8234100342
epoch time: 8.6047754288s, input_fired_time: 0.1287685931, output_fired_time: 0.0000000000, propagate_forward_time: 7.9856686592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4903378487
validation[          , genome  4485] predictions:    9581/  10000 (95.81%), best:    9607/10000 (96.07%), error:      1362.17773, best error:      1283.41467 on epoch:    20, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 106.3184051514s, input_fired_time: 1.0280561447, output_fired_time: 0.9042781591, propagate_forward_time: 40.0492019653, propagate_backward_time: 61.5307846069, weight_update_time: 0.1324134320, other_time: 2.8060836792
epoch time: 8.6572370529s, input_fired_time: 0.1279913038, output_fired_time: 0.0000000000, propagate_forward_time: 8.0446367264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4846086502
validation[          , genome  4485] predictions:    9570/  10000 (95.70%), best:    9607/10000 (96.07%), error:      1436.98901, best error:      1283.41467 on epoch:    20, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 107.0954895020s, input_fired_time: 1.0441970825, output_fired_time: 0.9154046774, propagate_forward_time: 40.3400535583, propagate_backward_time: 61.9210815430, weight_update_time: 0.1346979588, other_time: 2.8747558594
epoch time: 8.4840421677s, input_fired_time: 0.1284991801, output_fired_time: 0.0000000000, propagate_forward_time: 7.8697924614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4857506752
validation[          , genome  4485] predictions:    9590/  10000 (95.90%), best:    9607/10000 (96.07%), error:      1394.50439, best error:      1283.41467 on epoch:    20, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 107.9054565430s, input_fired_time: 1.0529791117, output_fired_time: 0.9142463207, propagate_forward_time: 40.5380134583, propagate_backward_time: 62.4653091431, weight_update_time: 0.1548386514, other_time: 2.9349136353
epoch time: 8.6855878830s, input_fired_time: 0.1435980201, output_fired_time: 0.0000000000, propagate_forward_time: 8.0332193375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5087709427
validation[          , genome  4485] predictions:    9543/  10000 (95.43%), best:    9607/10000 (96.07%), error:      1499.40747, best error:      1283.41467 on epoch:    20, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 107.1725616455s, input_fired_time: 1.0378210545, output_fired_time: 0.9121231437, propagate_forward_time: 40.2620239258, propagate_backward_time: 62.0372428894, weight_update_time: 0.1335574090, other_time: 2.9233512878
epoch time: 8.6052236557s, input_fired_time: 0.1291292757, output_fired_time: 0.0000000000, propagate_forward_time: 7.9871730804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4889211655
validation[          , genome  4485] predictions:    9628/  10000 (96.28%), best:    9628/10000 (96.28%), error:      1275.52673, best error:      1275.52673 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 107.3015670776s, input_fired_time: 1.0418456793, output_fired_time: 0.9131016135, propagate_forward_time: 40.3998680115, propagate_backward_time: 62.0669479370, weight_update_time: 0.1330416650, other_time: 2.8797988892
epoch time: 8.6849451065s, input_fired_time: 0.1334181875, output_fired_time: 0.0000000000, propagate_forward_time: 8.0298995972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5216274261
validation[          , genome  4485] predictions:    9557/  10000 (95.57%), best:    9628/10000 (96.28%), error:      1414.25452, best error:      1275.52673 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 107.3007507324s, input_fired_time: 1.0600941181, output_fired_time: 0.9300490618, propagate_forward_time: 40.4056358337, propagate_backward_time: 62.0166664124, weight_update_time: 0.1336289644, other_time: 2.8883018494
epoch time: 8.5536603928s, input_fired_time: 0.1327150017, output_fired_time: 0.0000000000, propagate_forward_time: 7.9212379456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4997072220
validation[          , genome  4485] predictions:    9592/  10000 (95.92%), best:    9628/10000 (96.28%), error:      1362.65894, best error:      1275.52673 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 107.3344421387s, input_fired_time: 1.0536952019, output_fired_time: 0.9343966842, propagate_forward_time: 40.3315773010, propagate_backward_time: 62.0830078125, weight_update_time: 0.1336878985, other_time: 2.9317626953
epoch time: 8.5334405899s, input_fired_time: 0.1282492876, output_fired_time: 0.0000000000, propagate_forward_time: 7.9105949402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4945964813
validation[          , genome  4485] predictions:    9563/  10000 (95.63%), best:    9628/10000 (96.28%), error:      1496.73938, best error:      1275.52673 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 108.1859741211s, input_fired_time: 1.0632308722, output_fired_time: 0.9206386805, propagate_forward_time: 40.6654510498, propagate_backward_time: 62.6059532166, weight_update_time: 0.1327308267, other_time: 2.9306983948
epoch time: 8.6579608917s, input_fired_time: 0.1320738941, output_fired_time: 0.0000000000, propagate_forward_time: 8.0146837234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5112028122
validation[          , genome  4485] predictions:    9649/  10000 (96.49%), best:    9649/10000 (96.49%), error:      1212.72437, best error:      1212.72437 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 107.2267303467s, input_fired_time: 1.0279005766, output_fired_time: 0.9145486951, propagate_forward_time: 40.3666305542, propagate_backward_time: 62.0271301270, weight_update_time: 0.1325088143, other_time: 2.8905181885
epoch time: 8.8815793991s, input_fired_time: 0.1296308041, output_fired_time: 0.0000000000, propagate_forward_time: 8.2390832901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5128650665
validation[          , genome  4485] predictions:    9656/  10000 (96.56%), best:    9656/10000 (96.56%), error:      1173.89478, best error:      1173.89478 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 106.0998229980s, input_fired_time: 1.0212321281, output_fired_time: 0.8973821998, propagate_forward_time: 39.8696098328, propagate_backward_time: 61.5115509033, weight_update_time: 0.1315975040, other_time: 2.8000488281
epoch time: 8.5784702301s, input_fired_time: 0.1306628138, output_fired_time: 0.0000000000, propagate_forward_time: 7.9610486031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4867587090
validation[          , genome  4485] predictions:    9602/  10000 (96.02%), best:    9656/10000 (96.56%), error:      1324.18750, best error:      1173.89478 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 105.8675155640s, input_fired_time: 1.0214047432, output_fired_time: 0.9098862410, propagate_forward_time: 39.7991523743, propagate_backward_time: 61.3662910461, weight_update_time: 0.1305562109, other_time: 2.7707786560
epoch time: 8.8395786285s, input_fired_time: 0.1326336116, output_fired_time: 0.0000000000, propagate_forward_time: 8.1871919632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5197534561
validation[          , genome  4485] predictions:    9628/  10000 (96.28%), best:    9656/10000 (96.56%), error:      1205.00232, best error:      1173.89478 on epoch:    31, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 107.4682388306s, input_fired_time: 1.0601519346, output_fired_time: 0.9129067063, propagate_forward_time: 40.3553390503, propagate_backward_time: 62.1912727356, weight_update_time: 0.1341674030, other_time: 2.9485664368
epoch time: 8.6447763443s, input_fired_time: 0.1293136030, output_fired_time: 0.0000000000, propagate_forward_time: 8.0316572189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4838056564
validation[          , genome  4485] predictions:    9639/  10000 (96.39%), best:    9656/10000 (96.56%), error:      1207.59485, best error:      1173.89478 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 107.3918228149s, input_fired_time: 1.0412402153, output_fired_time: 0.9088090658, propagate_forward_time: 40.4114799500, propagate_backward_time: 62.1541557312, weight_update_time: 0.1322565973, other_time: 2.8761482239
epoch time: 9.0754737854s, input_fired_time: 0.1353769749, output_fired_time: 0.0000000000, propagate_forward_time: 8.3882255554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5518712997
validation[          , genome  4485] predictions:    9625/  10000 (96.25%), best:    9656/10000 (96.56%), error:      1265.91638, best error:      1173.89478 on epoch:    31, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 106.5469512939s, input_fired_time: 1.0388454199, output_fired_time: 0.9105601907, propagate_forward_time: 40.0592384338, propagate_backward_time: 61.7037849426, weight_update_time: 0.1322259605, other_time: 2.8345146179
epoch time: 8.7037763596s, input_fired_time: 0.1287797838, output_fired_time: 0.0000000000, propagate_forward_time: 8.0788383484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4961585999
validation[          , genome  4485] predictions:    9628/  10000 (96.28%), best:    9656/10000 (96.56%), error:      1218.01184, best error:      1173.89478 on epoch:    31, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 107.8817977905s, input_fired_time: 1.0576380491, output_fired_time: 0.9441625476, propagate_forward_time: 40.6233177185, propagate_backward_time: 62.4076156616, weight_update_time: 0.1324822754, other_time: 2.8490676880
epoch time: 8.6544656754s, input_fired_time: 0.1289682984, output_fired_time: 0.0000000000, propagate_forward_time: 8.0322294235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4932680130
validation[          , genome  4485] predictions:    9623/  10000 (96.23%), best:    9656/10000 (96.56%), error:      1264.85999, best error:      1173.89478 on epoch:    31, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 106.2713775635s, input_fired_time: 1.0158182383, output_fired_time: 0.9175469875, propagate_forward_time: 40.1153869629, propagate_backward_time: 61.4770660400, weight_update_time: 0.1313879043, other_time: 2.7455596924
epoch time: 8.6092405319s, input_fired_time: 0.1301139742, output_fired_time: 0.0000000000, propagate_forward_time: 7.9932136536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4859132767
validation[          , genome  4485] predictions:    9608/  10000 (96.08%), best:    9656/10000 (96.56%), error:      1301.95483, best error:      1173.89478 on epoch:    31, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 106.4444046021s, input_fired_time: 1.0275063515, output_fired_time: 0.9070338607, propagate_forward_time: 40.0371627808, propagate_backward_time: 61.6729354858, weight_update_time: 0.1319480538, other_time: 2.7997665405
epoch time: 8.7484045029s, input_fired_time: 0.1327781677, output_fired_time: 0.0000000000, propagate_forward_time: 8.1016969681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5139293671
validation[          , genome  4485] predictions:    9644/  10000 (96.44%), best:    9656/10000 (96.56%), error:      1213.11609, best error:      1173.89478 on epoch:    31, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 107.8968811035s, input_fired_time: 1.0512995720, output_fired_time: 0.9177433848, propagate_forward_time: 40.5897941589, propagate_backward_time: 62.4098625183, weight_update_time: 0.1332076639, other_time: 2.9281806946
epoch time: 8.6231956482s, input_fired_time: 0.1303956956, output_fired_time: 0.0000000000, propagate_forward_time: 8.0034027100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4893970490
validation[          , genome  4485] predictions:    9562/  10000 (95.62%), best:    9656/10000 (96.56%), error:      1473.29736, best error:      1173.89478 on epoch:    31, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 106.8651809692s, input_fired_time: 1.0304299593, output_fired_time: 0.9251039624, propagate_forward_time: 40.3071289063, propagate_backward_time: 61.7829132080, weight_update_time: 0.1317246258, other_time: 2.8196029663
epoch time: 8.6150341034s, input_fired_time: 0.1296256930, output_fired_time: 0.0000000000, propagate_forward_time: 7.9969315529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4884772301
validation[          , genome  4485] predictions:    9629/  10000 (96.29%), best:    9656/10000 (96.56%), error:      1236.43298, best error:      1173.89478 on epoch:    31, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 107.0111236572s, input_fired_time: 1.0461171865, output_fired_time: 0.9183629751, propagate_forward_time: 40.2430572510, propagate_backward_time: 61.9388122559, weight_update_time: 0.1331203878, other_time: 2.8647689819
epoch time: 8.6365861893s, input_fired_time: 0.1327506751, output_fired_time: 0.0000000000, propagate_forward_time: 8.0139102936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4899253845
validation[          , genome  4485] predictions:    9644/  10000 (96.44%), best:    9656/10000 (96.56%), error:      1198.29626, best error:      1173.89478 on epoch:    31, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 106.5371856689s, input_fired_time: 1.0302265882, output_fired_time: 0.9029690027, propagate_forward_time: 40.0875091553, propagate_backward_time: 61.6920623779, weight_update_time: 0.1315798610, other_time: 2.8244171143
epoch time: 8.7354955673s, input_fired_time: 0.1295465827, output_fired_time: 0.0000000000, propagate_forward_time: 8.1119785309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4939708710
validation[          , genome  4485] predictions:    9637/  10000 (96.37%), best:    9637/10000 (96.37%), error:      1171.67639, best error:      1171.67639 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 107.0841751099s, input_fired_time: 1.0473914146, output_fired_time: 0.9036552310, propagate_forward_time: 40.2387580872, propagate_backward_time: 62.0195808411, weight_update_time: 0.1401056945, other_time: 2.8747825623
epoch time: 8.5846376419s, input_fired_time: 0.1299260706, output_fired_time: 0.0000000000, propagate_forward_time: 7.9714350700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4832768440
validation[          , genome  4485] predictions:    9624/  10000 (96.24%), best:    9637/10000 (96.37%), error:      1213.00098, best error:      1171.67639 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 107.7621078491s, input_fired_time: 1.0503334999, output_fired_time: 0.9243667722, propagate_forward_time: 40.5441780090, propagate_backward_time: 62.3996887207, weight_update_time: 0.1324597895, other_time: 2.8435363770
epoch time: 8.7010631561s, input_fired_time: 0.1301394850, output_fired_time: 0.0000000000, propagate_forward_time: 8.0721282959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4987955093
validation[          , genome  4485] predictions:    9624/  10000 (96.24%), best:    9637/10000 (96.37%), error:      1277.04480, best error:      1171.67639 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 107.1339874268s, input_fired_time: 1.0343834162, output_fired_time: 0.9264413714, propagate_forward_time: 40.2588882446, propagate_backward_time: 62.1080017090, weight_update_time: 0.1318543702, other_time: 2.8062667847
epoch time: 8.7570695877s, input_fired_time: 0.1347454041, output_fired_time: 0.0000000000, propagate_forward_time: 8.1031999588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5191240311
validation[          , genome  4485] predictions:    9617/  10000 (96.17%), best:    9637/10000 (96.37%), error:      1260.33228, best error:      1171.67639 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 106.7117080688s, input_fired_time: 1.0471954346, output_fired_time: 0.9213554859, propagate_forward_time: 40.1105155945, propagate_backward_time: 61.7346534729, weight_update_time: 0.1330253035, other_time: 2.8979911804
epoch time: 8.8765287399s, input_fired_time: 0.1402904540, output_fired_time: 0.0000000000, propagate_forward_time: 8.2152242661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5210142136
validation[          , genome  4485] predictions:    9467/  10000 (94.67%), best:    9637/10000 (96.37%), error:      1681.83789, best error:      1171.67639 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 106.6310272217s, input_fired_time: 1.0276058912, output_fired_time: 0.9100123048, propagate_forward_time: 40.1822433472, propagate_backward_time: 61.7207298279, weight_update_time: 0.1331609190, other_time: 2.7904396057
epoch time: 8.5149412155s, input_fired_time: 0.1267230213, output_fired_time: 0.0000000000, propagate_forward_time: 7.8925995827, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4956183434
validation[          , genome  4485] predictions:    9566/  10000 (95.66%), best:    9637/10000 (96.37%), error:      1464.92932, best error:      1171.67639 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 106.3040771484s, input_fired_time: 1.0383679867, output_fired_time: 0.9074267745, propagate_forward_time: 39.9579505920, propagate_backward_time: 61.5883750916, weight_update_time: 0.1319542080, other_time: 2.8119544983
epoch time: 8.5643758774s, input_fired_time: 0.1299504936, output_fired_time: 0.0000000000, propagate_forward_time: 7.9487695694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4856557846
validation[          , genome  4485] predictions:    9630/  10000 (96.30%), best:    9637/10000 (96.37%), error:      1260.09692, best error:      1171.67639 on epoch:    43, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 104.8764877319s, input_fired_time: 1.0070873499, output_fired_time: 0.9083935022, propagate_forward_time: 39.5230827332, propagate_backward_time: 60.7389335632, weight_update_time: 0.1301047057, other_time: 2.6989898682
epoch time: 8.5765285492s, input_fired_time: 0.1300806999, output_fired_time: 0.0000000000, propagate_forward_time: 7.9623608589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4840865135
validation[          , genome  4485] predictions:    9623/  10000 (96.23%), best:    9637/10000 (96.37%), error:      1229.30017, best error:      1171.67639 on epoch:    43, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 107.4451141357s, input_fired_time: 1.0396351814, output_fired_time: 0.9184364676, propagate_forward_time: 40.4636802673, propagate_backward_time: 62.1496810913, weight_update_time: 0.1321992874, other_time: 2.8736801147
epoch time: 8.7557182312s, input_fired_time: 0.1361022741, output_fired_time: 0.0000000000, propagate_forward_time: 8.0928726196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5267429352
validation[          , genome  4485] predictions:    9636/  10000 (96.36%), best:    9637/10000 (96.37%), error:      1207.83911, best error:      1171.67639 on epoch:    43, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 106.2664031982s, input_fired_time: 1.0359991789, output_fired_time: 0.9049018621, propagate_forward_time: 40.0335845947, propagate_backward_time: 61.5135040283, weight_update_time: 0.1375912726, other_time: 2.7784194946
epoch time: 8.6234025955s, input_fired_time: 0.1313630790, output_fired_time: 0.0000000000, propagate_forward_time: 8.0028514862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4891881943
validation[          , genome  4485] predictions:    9656/  10000 (96.56%), best:    9656/10000 (96.56%), error:      1148.65027, best error:      1148.65027 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 107.1048889160s, input_fired_time: 1.0502693653, output_fired_time: 0.9317013025, propagate_forward_time: 40.3417320251, propagate_backward_time: 61.8812866211, weight_update_time: 0.1336231977, other_time: 2.8999023438
epoch time: 8.6239042282s, input_fired_time: 0.1329029202, output_fired_time: 0.0000000000, propagate_forward_time: 7.9881334305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5028676987
validation[          , genome  4485] predictions:    9667/  10000 (96.67%), best:    9667/10000 (96.67%), error:      1141.34460, best error:      1141.34460 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 105.9540252686s, input_fired_time: 1.0210126638, output_fired_time: 0.8985271454, propagate_forward_time: 39.9585647583, propagate_backward_time: 61.3012771606, weight_update_time: 0.1317254901, other_time: 2.7746429443
epoch time: 8.6800594330s, input_fired_time: 0.1383890510, output_fired_time: 0.0000000000, propagate_forward_time: 8.0358028412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5058679581
validation[          , genome  4485] predictions:    9673/  10000 (96.73%), best:    9667/10000 (96.67%), error:      1147.79651, best error:      1141.34460 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 106.4079513550s, input_fired_time: 1.0331785679, output_fired_time: 0.9129953384, propagate_forward_time: 39.9869842529, propagate_backward_time: 61.6472091675, weight_update_time: 0.1321259737, other_time: 2.8275833130
epoch time: 8.6010913849s, input_fired_time: 0.1307091862, output_fired_time: 0.0000000000, propagate_forward_time: 7.9837474823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4866342545
validation[          , genome  4485] predictions:    9627/  10000 (96.27%), best:    9667/10000 (96.67%), error:      1248.20789, best error:      1141.34460 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 108.6836318970s, input_fired_time: 1.0692242384, output_fired_time: 0.9657295346, propagate_forward_time: 40.8641052246, propagate_backward_time: 62.8252906799, weight_update_time: 0.1434994489, other_time: 2.9592857361
epoch time: 8.5805673599s, input_fired_time: 0.1318787485, output_fired_time: 0.0000000000, propagate_forward_time: 7.9628520012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4858365059
validation[          , genome  4485] predictions:    9638/  10000 (96.38%), best:    9667/10000 (96.67%), error:      1230.96375, best error:      1141.34460 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 106.5895080566s, input_fired_time: 1.0488637686, output_fired_time: 0.9077596664, propagate_forward_time: 40.0335884094, propagate_backward_time: 61.6764869690, weight_update_time: 0.1331546605, other_time: 2.9228019714
epoch time: 8.6201086044s, input_fired_time: 0.1337334812, output_fired_time: 0.0000000000, propagate_forward_time: 7.9878253937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4985494614
validation[          , genome  4485] predictions:    9677/  10000 (96.77%), best:    9677/10000 (96.77%), error:      1118.26514, best error:      1118.26514 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 106.8929519653s, input_fired_time: 1.0309969187, output_fired_time: 0.9089005589, propagate_forward_time: 40.1885185242, propagate_backward_time: 61.9681320190, weight_update_time: 0.1319474876, other_time: 2.7964096069
epoch time: 8.7824459076s, input_fired_time: 0.1290849745, output_fired_time: 0.0000000000, propagate_forward_time: 8.1582622528, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4950990677
validation[          , genome  4485] predictions:    9568/  10000 (95.68%), best:    9677/10000 (96.77%), error:      1453.98389, best error:      1118.26514 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 107.1829757690s, input_fired_time: 1.0832290649, output_fired_time: 0.9113868475, propagate_forward_time: 40.2895469666, propagate_backward_time: 61.9723243713, weight_update_time: 0.1386756152, other_time: 2.9264945984
epoch time: 8.7126998901s, input_fired_time: 0.1345946044, output_fired_time: 0.0000000000, propagate_forward_time: 8.0618534088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5162515640
validation[          , genome  4485] predictions:    9578/  10000 (95.78%), best:    9677/10000 (96.77%), error:      1330.55579, best error:      1118.26514 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 107.2289123535s, input_fired_time: 1.0493673086, output_fired_time: 0.9150211811, propagate_forward_time: 40.2987594604, propagate_backward_time: 62.0891075134, weight_update_time: 0.1381175667, other_time: 2.8766517639
epoch time: 8.6828985214s, input_fired_time: 0.1301141679, output_fired_time: 0.0000000000, propagate_forward_time: 8.0587129593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4940710068
validation[          , genome  4485] predictions:    9565/  10000 (95.65%), best:    9677/10000 (96.77%), error:      1468.50366, best error:      1118.26514 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 108.4236297607s, input_fired_time: 1.0731136799, output_fired_time: 0.9260594249, propagate_forward_time: 40.6694602966, propagate_backward_time: 62.7747612000, weight_update_time: 0.1334724128, other_time: 2.9802436829
epoch time: 8.5546112061s, input_fired_time: 0.1316613555, output_fired_time: 0.0000000000, propagate_forward_time: 7.9289460182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4940037727
validation[          , genome  4485] predictions:    9630/  10000 (96.30%), best:    9677/10000 (96.77%), error:      1263.50366, best error:      1118.26514 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 105.9768142700s, input_fired_time: 1.0247324705, output_fired_time: 0.9088910222, propagate_forward_time: 39.9121780396, propagate_backward_time: 61.3724479675, weight_update_time: 0.1315580755, other_time: 2.7585639954
epoch time: 8.5794868469s, input_fired_time: 0.1334200948, output_fired_time: 0.0000000000, propagate_forward_time: 7.9489498138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4971170425
validation[          , genome  4485] predictions:    9595/  10000 (95.95%), best:    9677/10000 (96.77%), error:      1264.28760, best error:      1118.26514 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 106.8975143433s, input_fired_time: 1.0490034819, output_fired_time: 0.9066267014, propagate_forward_time: 40.2625045776, propagate_backward_time: 61.8453445435, weight_update_time: 0.1384947151, other_time: 2.8340377808
epoch time: 8.7989749908s, input_fired_time: 0.1415759921, output_fired_time: 0.0000000000, propagate_forward_time: 8.1383104324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5190887451
validation[          , genome  4485] predictions:    9681/  10000 (96.81%), best:    9681/10000 (96.81%), error:      1076.26917, best error:      1076.26917 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 105.6357421875s, input_fired_time: 1.0169501305, output_fired_time: 0.8934744000, propagate_forward_time: 39.7905845642, propagate_backward_time: 61.2257843018, weight_update_time: 0.1302963346, other_time: 2.7089500427
epoch time: 8.5471887589s, input_fired_time: 0.1306381971, output_fired_time: 0.0000000000, propagate_forward_time: 7.9330558777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4834947586
validation[          , genome  4485] predictions:    9670/  10000 (96.70%), best:    9681/10000 (96.81%), error:      1124.95984, best error:      1076.26917 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 106.2578887939s, input_fired_time: 1.0434372425, output_fired_time: 0.9125936031, propagate_forward_time: 40.0523300171, propagate_backward_time: 61.5038871765, weight_update_time: 0.1322528571, other_time: 2.7456474304
epoch time: 8.6979665756s, input_fired_time: 0.1403530240, output_fired_time: 0.0000000000, propagate_forward_time: 8.0623731613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4952402115
validation[          , genome  4485] predictions:    9569/  10000 (95.69%), best:    9681/10000 (96.81%), error:      1508.12866, best error:      1076.26917 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 108.0699234009s, input_fired_time: 1.0670498610, output_fired_time: 0.9400849342, propagate_forward_time: 40.5505485535, propagate_backward_time: 62.5378417969, weight_update_time: 0.1477304697, other_time: 2.9743957520
epoch time: 8.6519784927s, input_fired_time: 0.1369895935, output_fired_time: 0.0000000000, propagate_forward_time: 8.0192222595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4957666397
validation[          , genome  4485] predictions:    9644/  10000 (96.44%), best:    9681/10000 (96.81%), error:      1172.40649, best error:      1076.26917 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 107.8118591309s, input_fired_time: 1.0706770420, output_fired_time: 0.9264901876, propagate_forward_time: 40.5684814453, propagate_backward_time: 62.3213119507, weight_update_time: 0.1385070980, other_time: 2.9248962402
epoch time: 8.7274570465s, input_fired_time: 0.1327526867, output_fired_time: 0.0000000000, propagate_forward_time: 8.0758867264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5188179016
validation[          , genome  4485] predictions:    9624/  10000 (96.24%), best:    9681/10000 (96.81%), error:      1238.75757, best error:      1076.26917 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 107.6125946045s, input_fired_time: 1.0603114367, output_fired_time: 0.9263621569, propagate_forward_time: 40.4281082153, propagate_backward_time: 62.3065147400, weight_update_time: 0.1408754289, other_time: 2.8913002014
epoch time: 8.7723150253s, input_fired_time: 0.1412706822, output_fired_time: 0.0000000000, propagate_forward_time: 8.1131496429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5178947449
validation[          , genome  4485] predictions:    9666/  10000 (96.66%), best:    9681/10000 (96.81%), error:      1108.51392, best error:      1076.26917 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 106.6409149170s, input_fired_time: 1.0621166229, output_fired_time: 0.9072559476, propagate_forward_time: 40.2146949768, propagate_backward_time: 61.6343154907, weight_update_time: 0.1320318878, other_time: 2.8225326538
epoch time: 8.6154270172s, input_fired_time: 0.1347017884, output_fired_time: 0.0000000000, propagate_forward_time: 7.9665422440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5141830444
validation[          , genome  4485] predictions:    9628/  10000 (96.28%), best:    9681/10000 (96.81%), error:      1169.07080, best error:      1076.26917 on epoch:    63, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 106.0882186890s, input_fired_time: 1.0360540152, output_fired_time: 0.9034491777, propagate_forward_time: 39.9286918640, propagate_backward_time: 61.3984947205, weight_update_time: 0.1364993006, other_time: 2.8215217590
epoch time: 8.6195449829s, input_fired_time: 0.1318603903, output_fired_time: 0.0000000000, propagate_forward_time: 7.9989576340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4887266159
validation[          , genome  4485] predictions:    9599/  10000 (95.99%), best:    9681/10000 (96.81%), error:      1346.08545, best error:      1076.26917 on epoch:    63, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 108.2644348145s, input_fired_time: 1.0702840090, output_fired_time: 0.9214447141, propagate_forward_time: 40.6932525635, propagate_backward_time: 62.6184349060, weight_update_time: 0.1333997995, other_time: 2.9610176086
epoch time: 8.7367181778s, input_fired_time: 0.1380910277, output_fired_time: 0.0000000000, propagate_forward_time: 8.0906581879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5079689026
validation[          , genome  4485] predictions:    9676/  10000 (96.76%), best:    9681/10000 (96.81%), error:      1127.46912, best error:      1076.26917 on epoch:    63, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 106.3141021729s, input_fired_time: 1.0287719965, output_fired_time: 0.9071717262, propagate_forward_time: 40.0516700745, propagate_backward_time: 61.5715217590, weight_update_time: 0.1317865551, other_time: 2.7549705505
epoch time: 8.6347112656s, input_fired_time: 0.1315227896, output_fired_time: 0.0000000000, propagate_forward_time: 8.0124168396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4907712936
validation[          , genome  4485] predictions:    9610/  10000 (96.10%), best:    9681/10000 (96.81%), error:      1264.50000, best error:      1076.26917 on epoch:    63, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 107.6215591431s, input_fired_time: 1.0525383949, output_fired_time: 0.9248865843, propagate_forward_time: 40.4363784790, propagate_backward_time: 62.2819557190, weight_update_time: 0.1338617653, other_time: 2.9258003235
epoch time: 8.6867265701s, input_fired_time: 0.1361543238, output_fired_time: 0.0000000000, propagate_forward_time: 8.0388174057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5117549896
validation[          , genome  4485] predictions:    9650/  10000 (96.50%), best:    9681/10000 (96.81%), error:      1164.52954, best error:      1076.26917 on epoch:    63, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 107.4146118164s, input_fired_time: 1.0566772223, output_fired_time: 0.9120731950, propagate_forward_time: 40.3470687866, propagate_backward_time: 62.2403602600, weight_update_time: 0.1372922659, other_time: 2.8584327698
epoch time: 8.6718082428s, input_fired_time: 0.1325434893, output_fired_time: 0.0000000000, propagate_forward_time: 8.0520277023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4872369766
validation[          , genome  4485] predictions:    9658/  10000 (96.58%), best:    9681/10000 (96.81%), error:      1137.50024, best error:      1076.26917 on epoch:    63, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 106.3905868530s, input_fired_time: 1.0405119658, output_fired_time: 0.9154013395, propagate_forward_time: 40.1349945068, propagate_backward_time: 61.5559272766, weight_update_time: 0.1335026771, other_time: 2.7437553406
epoch time: 8.6603174210s, input_fired_time: 0.1315156668, output_fired_time: 0.0000000000, propagate_forward_time: 8.0315809250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4972209930
validation[          , genome  4485] predictions:    9651/  10000 (96.51%), best:    9681/10000 (96.81%), error:      1144.21204, best error:      1076.26917 on epoch:    63, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 107.3122482300s, input_fired_time: 1.0700480938, output_fired_time: 0.9191386104, propagate_forward_time: 40.4098663330, propagate_backward_time: 62.0176124573, weight_update_time: 0.1324068904, other_time: 2.8955879211
epoch time: 8.9126930237s, input_fired_time: 0.1427067816, output_fired_time: 0.0000000000, propagate_forward_time: 8.2350606918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5349254608
validation[          , genome  4485] predictions:    9613/  10000 (96.13%), best:    9681/10000 (96.81%), error:      1280.42847, best error:      1076.26917 on epoch:    63, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 106.4140243530s, input_fired_time: 1.0353820324, output_fired_time: 0.9235079288, propagate_forward_time: 40.0275535583, propagate_backward_time: 61.6705627441, weight_update_time: 0.1318991631, other_time: 2.7570190430
epoch time: 8.5790338516s, input_fired_time: 0.1309778988, output_fired_time: 0.0000000000, propagate_forward_time: 7.9636912346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4843649864
validation[          , genome  4485] predictions:    9612/  10000 (96.12%), best:    9681/10000 (96.81%), error:      1273.04248, best error:      1076.26917 on epoch:    63, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 106.4157485962s, input_fired_time: 1.0447096825, output_fired_time: 0.9132997394, propagate_forward_time: 40.1105995178, propagate_backward_time: 61.5494956970, weight_update_time: 0.1320114583, other_time: 2.7976417542
epoch time: 8.6544981003s, input_fired_time: 0.1314536929, output_fired_time: 0.0000000000, propagate_forward_time: 8.0333194733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4897251129
validation[          , genome  4485] predictions:    9663/  10000 (96.63%), best:    9681/10000 (96.81%), error:      1111.34961, best error:      1076.26917 on epoch:    63, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 105.9464187622s, input_fired_time: 1.0269118547, output_fired_time: 0.9058958292, propagate_forward_time: 39.9273757935, propagate_backward_time: 61.3271484375, weight_update_time: 0.1322428584, other_time: 2.7590866089
epoch time: 8.7799263000s, input_fired_time: 0.1375999153, output_fired_time: 0.0000000000, propagate_forward_time: 8.1378726959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5044536591
validation[          , genome  4485] predictions:    9657/  10000 (96.57%), best:    9681/10000 (96.81%), error:      1166.33557, best error:      1076.26917 on epoch:    63, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 106.4242553711s, input_fired_time: 1.0598052740, output_fired_time: 0.9001802206, propagate_forward_time: 40.0373878479, propagate_backward_time: 61.6131896973, weight_update_time: 0.1321354955, other_time: 2.8136901855
epoch time: 8.5490942001s, input_fired_time: 0.1311525702, output_fired_time: 0.0000000000, propagate_forward_time: 7.9308795929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4870624542
validation[          , genome  4485] predictions:    9631/  10000 (96.31%), best:    9681/10000 (96.81%), error:      1228.37256, best error:      1076.26917 on epoch:    63, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 107.1047058105s, input_fired_time: 1.0785171986, output_fired_time: 0.9014827013, propagate_forward_time: 40.2868080139, propagate_backward_time: 61.9669723511, weight_update_time: 0.1325378120, other_time: 2.8709335327
epoch time: 8.7792863846s, input_fired_time: 0.1339139789, output_fired_time: 0.0000000000, propagate_forward_time: 8.1229848862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5223875046
validation[          , genome  4485] predictions:    9628/  10000 (96.28%), best:    9681/10000 (96.81%), error:      1255.45361, best error:      1076.26917 on epoch:    63, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 108.1267318726s, input_fired_time: 1.0705405474, output_fired_time: 0.9179807901, propagate_forward_time: 40.6758499146, propagate_backward_time: 62.5236015320, weight_update_time: 0.1342270821, other_time: 2.9387550354
epoch time: 8.6338148117s, input_fired_time: 0.1366890818, output_fired_time: 0.0000000000, propagate_forward_time: 7.9949111938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5022144318
validation[          , genome  4485] predictions:    9659/  10000 (96.59%), best:    9681/10000 (96.81%), error:      1139.38220, best error:      1076.26917 on epoch:    63, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 106.6484527588s, input_fired_time: 1.0518771410, output_fired_time: 0.9168686867, propagate_forward_time: 40.1096763611, propagate_backward_time: 61.7293205261, weight_update_time: 0.1327419728, other_time: 2.8407020569
epoch time: 8.9032869339s, input_fired_time: 0.1382724643, output_fired_time: 0.0000000000, propagate_forward_time: 8.2446975708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5203170776
validation[          , genome  4485] predictions:    9664/  10000 (96.64%), best:    9681/10000 (96.81%), error:      1121.60950, best error:      1076.26917 on epoch:    63, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 107.6432037354s, input_fired_time: 1.0882004499, output_fired_time: 0.9198565483, propagate_forward_time: 40.4916839600, propagate_backward_time: 62.2134246826, weight_update_time: 0.1390424073, other_time: 2.9300384521
epoch time: 8.7369737625s, input_fired_time: 0.1381718218, output_fired_time: 0.0000000000, propagate_forward_time: 8.0828409195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5159606934
validation[          , genome  4485] predictions:    9575/  10000 (95.75%), best:    9681/10000 (96.81%), error:      1389.48779, best error:      1076.26917 on epoch:    63, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 106.2418289185s, input_fired_time: 1.0421860218, output_fired_time: 0.9026865959, propagate_forward_time: 39.9203300476, propagate_backward_time: 61.5944366455, weight_update_time: 0.1313897520, other_time: 2.7821960449
epoch time: 8.6354532242s, input_fired_time: 0.1335453838, output_fired_time: 0.0000000000, propagate_forward_time: 8.0072298050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4946784973
validation[          , genome  4485] predictions:    9613/  10000 (96.13%), best:    9681/10000 (96.81%), error:      1258.39551, best error:      1076.26917 on epoch:    63, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 106.6067504883s, input_fired_time: 1.0407158136, output_fired_time: 0.9107881188, propagate_forward_time: 40.1284179688, propagate_backward_time: 61.7276535034, weight_update_time: 0.1326518059, other_time: 2.7991714478
epoch time: 8.5665512085s, input_fired_time: 0.1333171725, output_fired_time: 0.0000000000, propagate_forward_time: 7.9484891891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4847450256
validation[          , genome  4485] predictions:    9687/  10000 (96.87%), best:    9681/10000 (96.81%), error:      1076.99255, best error:      1076.26917 on epoch:    63, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 106.1659774780s, input_fired_time: 1.0312618017, output_fired_time: 0.9206402302, propagate_forward_time: 39.9601097107, propagate_backward_time: 61.5060958862, weight_update_time: 0.1320434064, other_time: 2.7478713989
epoch time: 8.6401062012s, input_fired_time: 0.1365559995, output_fired_time: 0.0000000000, propagate_forward_time: 8.0019884109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5015621185
validation[          , genome  4485] predictions:    9652/  10000 (96.52%), best:    9681/10000 (96.81%), error:      1151.54712, best error:      1076.26917 on epoch:    63, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 107.7469177246s, input_fired_time: 1.0574539900, output_fired_time: 0.9087855220, propagate_forward_time: 40.5907478333, propagate_backward_time: 62.3677024841, weight_update_time: 0.1370089352, other_time: 2.8222236633
epoch time: 8.6397399902s, input_fired_time: 0.1334191710, output_fired_time: 0.0000000000, propagate_forward_time: 8.0189237595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4873971939
validation[          , genome  4485] predictions:    9674/  10000 (96.74%), best:    9681/10000 (96.81%), error:      1111.53723, best error:      1076.26917 on epoch:    63, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 107.2056732178s, input_fired_time: 1.0629113913, output_fired_time: 0.9211579561, propagate_forward_time: 40.3992004395, propagate_backward_time: 61.9627113342, weight_update_time: 0.1336101592, other_time: 2.8596916199
epoch time: 8.5146379471s, input_fired_time: 0.1314235181, output_fired_time: 0.0000000000, propagate_forward_time: 7.9019937515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4812202454
validation[          , genome  4485] predictions:    9655/  10000 (96.55%), best:    9681/10000 (96.81%), error:      1163.73059, best error:      1076.26917 on epoch:    63, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 106.8140792847s, input_fired_time: 1.0416476727, output_fired_time: 0.9222874641, propagate_forward_time: 40.2021064758, propagate_backward_time: 61.8462371826, weight_update_time: 0.1426717937, other_time: 2.8018035889
epoch time: 8.5478687286s, input_fired_time: 0.1337635815, output_fired_time: 0.0000000000, propagate_forward_time: 7.9305367470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4835686684
validation[          , genome  4485] predictions:    9608/  10000 (96.08%), best:    9681/10000 (96.81%), error:      1300.11145, best error:      1076.26917 on epoch:    63, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 107.6290740967s, input_fired_time: 1.0703322887, output_fired_time: 0.9325791001, propagate_forward_time: 40.4869384766, propagate_backward_time: 62.2402153015, weight_update_time: 0.1332115233, other_time: 2.8990058899
epoch time: 8.6237888336s, input_fired_time: 0.1328881085, output_fired_time: 0.0000000000, propagate_forward_time: 8.0001230240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4907779694
validation[          , genome  4485] predictions:    9670/  10000 (96.70%), best:    9681/10000 (96.81%), error:      1107.44592, best error:      1076.26917 on epoch:    63, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 106.6422882080s, input_fired_time: 1.0402567387, output_fired_time: 0.9146711826, propagate_forward_time: 40.1015510559, propagate_backward_time: 61.7736625671, weight_update_time: 0.1314638406, other_time: 2.8121376038
epoch time: 8.6402692795s, input_fired_time: 0.1414811015, output_fired_time: 0.0000000000, propagate_forward_time: 7.9889769554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5098109245
validation[          , genome  4485] predictions:    9673/  10000 (96.73%), best:    9681/10000 (96.81%), error:      1106.88452, best error:      1076.26917 on epoch:    63, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 106.0111389160s, input_fired_time: 1.0350776911, output_fired_time: 0.9019776583, propagate_forward_time: 39.9268302917, propagate_backward_time: 61.4055480957, weight_update_time: 0.1308519840, other_time: 2.7416992188
epoch time: 8.5840463638s, input_fired_time: 0.1325833052, output_fired_time: 0.0000000000, propagate_forward_time: 7.9620714188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4893913269
validation[          , genome  4485] predictions:    9685/  10000 (96.85%), best:    9681/10000 (96.81%), error:      1089.62134, best error:      1076.26917 on epoch:    63, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 106.2735900879s, input_fired_time: 1.0374946594, output_fired_time: 0.9095342755, propagate_forward_time: 39.9855308533, propagate_backward_time: 61.5856513977, weight_update_time: 0.1316376626, other_time: 2.7553825378
epoch time: 8.7000722885s, input_fired_time: 0.1426532716, output_fired_time: 0.0000000000, propagate_forward_time: 8.0528535843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5045652390
validation[          , genome  4485] predictions:    9646/  10000 (96.46%), best:    9681/10000 (96.81%), error:      1135.53052, best error:      1076.26917 on epoch:    63, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 106.6344146729s, input_fired_time: 1.0683174133, output_fired_time: 0.9086554050, propagate_forward_time: 40.1047935486, propagate_backward_time: 61.6815948486, weight_update_time: 0.1321392059, other_time: 2.8710632324
epoch time: 8.6901912689s, input_fired_time: 0.1343483776, output_fired_time: 0.0000000000, propagate_forward_time: 8.0529508591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5028924942
validation[          , genome  4485] predictions:    9657/  10000 (96.57%), best:    9681/10000 (96.81%), error:      1165.86829, best error:      1076.26917 on epoch:    63, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 106.6305389404s, input_fired_time: 1.0502635241, output_fired_time: 0.9111121297, propagate_forward_time: 40.1694488525, propagate_backward_time: 61.7246513367, weight_update_time: 0.1325528324, other_time: 2.7750663757
epoch time: 8.7872343063s, input_fired_time: 0.1400254518, output_fired_time: 0.0000000000, propagate_forward_time: 8.1261348724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5210742950
validation[          , genome  4485] predictions:    9650/  10000 (96.50%), best:    9681/10000 (96.81%), error:      1219.12561, best error:      1076.26917 on epoch:    63, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 108.3170318604s, input_fired_time: 1.0839241743, output_fired_time: 0.9172812104, propagate_forward_time: 40.6734046936, propagate_backward_time: 62.6410789490, weight_update_time: 0.1397785842, other_time: 3.0013465881
epoch time: 8.5794744492s, input_fired_time: 0.1345323771, output_fired_time: 0.0000000000, propagate_forward_time: 7.9481854439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4967570305
validation[          , genome  4485] predictions:    9602/  10000 (96.02%), best:    9681/10000 (96.81%), error:      1307.44153, best error:      1076.26917 on epoch:    63, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 106.4250793457s, input_fired_time: 1.0567821264, output_fired_time: 0.9101805091, propagate_forward_time: 40.1108741760, propagate_backward_time: 61.5421905518, weight_update_time: 0.1320243329, other_time: 2.8050537109
epoch time: 8.8102264404s, input_fired_time: 0.1476474106, output_fired_time: 0.0000000000, propagate_forward_time: 8.1370582581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5255203247
validation[          , genome  4485] predictions:    9654/  10000 (96.54%), best:    9681/10000 (96.81%), error:      1141.39551, best error:      1076.26917 on epoch:    63, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 106.6049041748s, input_fired_time: 1.0572788715, output_fired_time: 0.9035191536, propagate_forward_time: 40.1029701233, propagate_backward_time: 61.7350387573, weight_update_time: 0.1343225092, other_time: 2.8060989380
epoch time: 8.6297225952s, input_fired_time: 0.1348909140, output_fired_time: 0.0000000000, propagate_forward_time: 8.0096073151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4852247238
validation[          , genome  4485] predictions:    9650/  10000 (96.50%), best:    9681/10000 (96.81%), error:      1161.93506, best error:      1076.26917 on epoch:    63, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 107.1641311646s, input_fired_time: 1.0747438669, output_fired_time: 0.9074195027, propagate_forward_time: 40.2745742798, propagate_backward_time: 62.0069274902, weight_update_time: 0.1324351281, other_time: 2.9004669189
epoch time: 8.5866107941s, input_fired_time: 0.1357764006, output_fired_time: 0.0000000000, propagate_forward_time: 7.9430875778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5077466965
validation[          , genome  4485] predictions:    9683/  10000 (96.83%), best:    9681/10000 (96.81%), error:      1106.32959, best error:      1076.26917 on epoch:    63, 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: 43.5646858215s, input_fired_time: 0.6846804023, output_fired_time: 0.0000000000, propagate_forward_time: 40.2269477844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6530570984
best training[          , genome  4485] predictions:   49114/  50000 (98.23%), best:    9681/10000 (96.81%), error:      3270.64282, best error:      1076.26917 on epoch:    63, 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: 8.6284990311s, input_fired_time: 0.1314361840, output_fired_time: 0.0000000000, propagate_forward_time: 7.9929137230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5041489601
   testing[          , genome  4485] predictions:    9705/  10000 (97.05%), best:    9681/10000 (96.81%), error:       976.20642, best error:      1076.26917 on epoch:    63, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
05:24:19 (6972): called boinc_finish(0)

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