Nameexact_genome_1512568488_45_7155_0
Workunit2607002
Created8 Dec 2017, 0:10:38 UTC
Sent8 Dec 2017, 0:13:11 UTC
Report deadline15 Dec 2017, 17:12:41 UTC
Received8 Dec 2017, 4:21:02 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID38872
Run time2 hours 47 min 43 sec
CPU time2 hours 43 min 20 sec
Validate stateValid
Credit1,927.00
Device peak FLOPS4.61 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size157.13 MB
Peak swap size160.10 MB
Peak disk usage2.24 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
000, weight_update_time: 0.0000000000, other_time: 0.3489861488
validation[          , genome  7155] predictions:    9626/  10000 (96.26%), best:    9709/10000 (97.09%), error:      1178.54456, best error:      1052.24170 on epoch:    16, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 90.1788253784s, input_fired_time: 0.9336803555, output_fired_time: 0.8663384914, propagate_forward_time: 34.1426544189, propagate_backward_time: 52.3216133118, weight_update_time: 0.0926854163, other_time: 1.9145393372
epoch time: 7.3454012871s, input_fired_time: 0.1200586185, output_fired_time: 0.0000000000, propagate_forward_time: 6.8840594292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3412833214
validation[          , genome  7155] predictions:    9618/  10000 (96.18%), best:    9709/10000 (97.09%), error:      1229.22791, best error:      1052.24170 on epoch:    16, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 95.2768096924s, input_fired_time: 0.9517695904, output_fired_time: 0.8903082013, propagate_forward_time: 35.8028717041, propagate_backward_time: 55.3684768677, weight_update_time: 0.0938537419, other_time: 2.2633895874
epoch time: 7.5698766708s, input_fired_time: 0.1380063295, output_fired_time: 0.0000000000, propagate_forward_time: 7.0665788651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3652915955
validation[          , genome  7155] predictions:    9644/  10000 (96.44%), best:    9709/10000 (97.09%), error:      1199.23071, best error:      1052.24170 on epoch:    16, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 93.3661422729s, input_fired_time: 0.9614022970, output_fired_time: 1.0281858444, propagate_forward_time: 35.0457153320, propagate_backward_time: 54.2493629456, weight_update_time: 0.0957967117, other_time: 2.0814781189
epoch time: 7.3574829102s, input_fired_time: 0.1207899004, output_fired_time: 0.0000000000, propagate_forward_time: 6.8816838264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3550090790
validation[          , genome  7155] predictions:    9645/  10000 (96.45%), best:    9709/10000 (97.09%), error:      1132.30811, best error:      1052.24170 on epoch:    16, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 94.0512237549s, input_fired_time: 1.0145683289, output_fired_time: 0.9216777086, propagate_forward_time: 35.3663711548, propagate_backward_time: 54.7074699402, weight_update_time: 0.1012859866, other_time: 2.0411338806
epoch time: 7.2825841904s, input_fired_time: 0.1227909550, output_fired_time: 0.0000000000, propagate_forward_time: 6.8055210114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3542723656
validation[          , genome  7155] predictions:    9667/  10000 (96.67%), best:    9709/10000 (97.09%), error:      1087.95337, best error:      1052.24170 on epoch:    16, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 89.9105453491s, input_fired_time: 0.9407883286, output_fired_time: 0.8679200411, propagate_forward_time: 33.8596076965, propagate_backward_time: 52.2836990356, weight_update_time: 0.0936361030, other_time: 1.9585304260
epoch time: 7.2868371010s, input_fired_time: 0.1213100255, output_fired_time: 0.0000000000, propagate_forward_time: 6.8116316795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3538951874
validation[          , genome  7155] predictions:    9649/  10000 (96.49%), best:    9709/10000 (97.09%), error:      1189.73853, best error:      1052.24170 on epoch:    16, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 88.7761154175s, input_fired_time: 0.9397704601, output_fired_time: 0.8550734520, propagate_forward_time: 33.3045043945, propagate_backward_time: 51.7227783203, weight_update_time: 0.0927743688, other_time: 1.9539871216
epoch time: 7.1682262421s, input_fired_time: 0.1200083345, output_fired_time: 0.0000000000, propagate_forward_time: 6.6991419792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3490757942
validation[          , genome  7155] predictions:    9688/  10000 (96.88%), best:    9709/10000 (97.09%), error:      1099.65051, best error:      1052.24170 on epoch:    16, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 88.9726638794s, input_fired_time: 0.9404382706, output_fired_time: 0.8622350097, propagate_forward_time: 33.4113502502, propagate_backward_time: 51.7991790771, weight_update_time: 0.1026253551, other_time: 1.9594612122
epoch time: 7.2337250710s, input_fired_time: 0.1208564341, output_fired_time: 0.0000000000, propagate_forward_time: 6.7582111359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3546576500
validation[          , genome  7155] predictions:    9629/  10000 (96.29%), best:    9709/10000 (97.09%), error:      1290.42273, best error:      1052.24170 on epoch:    16, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 89.5841217041s, input_fired_time: 0.9470058680, output_fired_time: 0.8658596873, propagate_forward_time: 33.7073516846, propagate_backward_time: 52.0800399780, weight_update_time: 0.0937856361, other_time: 1.9838638306
epoch time: 7.3178300858s, input_fired_time: 0.1217864975, output_fired_time: 0.0000000000, propagate_forward_time: 6.8319425583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3641009331
validation[          , genome  7155] predictions:    9666/  10000 (96.66%), best:    9709/10000 (97.09%), error:      1068.91455, best error:      1052.24170 on epoch:    16, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 89.2298202515s, input_fired_time: 0.9398961067, output_fired_time: 0.8606415987, propagate_forward_time: 33.4674491882, propagate_backward_time: 51.9866294861, weight_update_time: 0.0933873504, other_time: 1.9752044678
epoch time: 7.1717772484s, input_fired_time: 0.1185771152, output_fired_time: 0.0000000000, propagate_forward_time: 6.6951456070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3580546379
validation[          , genome  7155] predictions:    9687/  10000 (96.87%), best:    9709/10000 (97.09%), error:      1054.84363, best error:      1052.24170 on epoch:    16, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 89.0670471191s, input_fired_time: 0.9241304994, output_fired_time: 0.8445339799, propagate_forward_time: 33.5248718262, propagate_backward_time: 51.8223533630, weight_update_time: 0.0917626098, other_time: 1.9511528015
epoch time: 7.2610926628s, input_fired_time: 0.1189801693, output_fired_time: 0.0000000000, propagate_forward_time: 6.7714810371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3706316948
validation[          , genome  7155] predictions:    9670/  10000 (96.70%), best:    9709/10000 (97.09%), error:      1079.23425, best error:      1052.24170 on epoch:    16, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 89.6556701660s, input_fired_time: 1.0210459232, output_fired_time: 0.8527377844, propagate_forward_time: 33.6105537415, propagate_backward_time: 52.2530593872, weight_update_time: 0.0922637135, other_time: 1.9182701111
epoch time: 7.1944603920s, input_fired_time: 0.1192189753, output_fired_time: 0.0000000000, propagate_forward_time: 6.7370901108, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3381514549
validation[          , genome  7155] predictions:    9682/  10000 (96.82%), best:    9709/10000 (97.09%), error:      1109.89429, best error:      1052.24170 on epoch:    16, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 93.9249420166s, input_fired_time: 0.9810225964, output_fired_time: 0.8871838450, propagate_forward_time: 35.2795867920, propagate_backward_time: 54.6377716064, weight_update_time: 0.0923854932, other_time: 2.1393737793
epoch time: 7.4843783379s, input_fired_time: 0.1204601154, output_fired_time: 0.0000000000, propagate_forward_time: 7.0229105949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3410077095
validation[          , genome  7155] predictions:    9696/  10000 (96.96%), best:    9696/10000 (96.96%), error:      1007.95337, best error:      1007.95337 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 93.2413635254s, input_fired_time: 0.9355966449, output_fired_time: 0.9091760516, propagate_forward_time: 35.4421043396, propagate_backward_time: 53.9287605286, weight_update_time: 0.0925509855, other_time: 2.0257186890
epoch time: 8.1731700897s, input_fired_time: 0.1824009866, output_fired_time: 0.0000000000, propagate_forward_time: 7.6370849609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3536839485
validation[          , genome  7155] predictions:    9691/  10000 (96.91%), best:    9696/10000 (96.96%), error:      1071.05981, best error:      1007.95337 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 92.9963378906s, input_fired_time: 0.9959912896, output_fired_time: 0.8798554540, propagate_forward_time: 35.2799606323, propagate_backward_time: 53.7820396423, weight_update_time: 0.0928075314, other_time: 2.0584907532
epoch time: 7.1953473091s, input_fired_time: 0.1179202348, output_fired_time: 0.0000000000, propagate_forward_time: 6.6949486732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3824782372
validation[          , genome  7155] predictions:    9683/  10000 (96.83%), best:    9696/10000 (96.96%), error:      1074.10132, best error:      1007.95337 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 97.6702423096s, input_fired_time: 0.9859691262, output_fired_time: 0.8992948532, propagate_forward_time: 37.4360351563, propagate_backward_time: 56.3002586365, weight_update_time: 0.0936541259, other_time: 2.0486869812
epoch time: 7.2323102951s, input_fired_time: 0.1201811954, output_fired_time: 0.0000000000, propagate_forward_time: 6.7702956200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3418335915
validation[          , genome  7155] predictions:    9687/  10000 (96.87%), best:    9696/10000 (96.96%), error:      1092.10303, best error:      1007.95337 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 90.1251296997s, input_fired_time: 0.9389205575, output_fired_time: 0.8567185998, propagate_forward_time: 34.0804138184, propagate_backward_time: 52.3448791504, weight_update_time: 0.0926315933, other_time: 1.9041976929
epoch time: 7.2318525314s, input_fired_time: 0.1198945343, output_fired_time: 0.0000000000, propagate_forward_time: 6.7653079033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3466501236
validation[          , genome  7155] predictions:    9694/  10000 (96.94%), best:    9696/10000 (96.96%), error:      1036.46399, best error:      1007.95337 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7155.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7155_0_r1406843514_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 37
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 32
read number_validation_images: 10000
read best_validation_predictions: 9696
read best_validation_error: 1007.95
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 7155
read normal distribution: '1 0 0'
generator_str: '1015400500'
read generator: 1015400500
read generated_by_map:
1 disable_node 1
reading 27 nodes.
reading 61 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 90.9737777709961s, input_fired_time: 0.955084145069122, output_fired_time: 0.894533932209015, propagate_forward_time: 34.3601455688477, propagate_backward_time: 52.8000411987305, weight_update_time: 0.0953526496887207, other_time: 1.96397399902344
epoch time: 7.27329730987549s, input_fired_time: 0.120414920151234, output_fired_time: 0, propagate_forward_time: 6.80169773101807, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.351184844970703
validation[          , genome  7155] predictions:    9644/  10000 (96.44%), best:    9696/10000 (96.96%), error:      1149.15039, best error:      1007.95337 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 90.1599655151s, input_fired_time: 0.9484199882, output_fired_time: 0.8709200621, propagate_forward_time: 34.0172576904, propagate_backward_time: 52.3590354919, weight_update_time: 0.0947630182, other_time: 1.9643363953
epoch time: 7.3150982857s, input_fired_time: 0.1218919307, output_fired_time: 0.0000000000, propagate_forward_time: 6.8385748863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3546314240
validation[          , genome  7155] predictions:    9668/  10000 (96.68%), best:    9696/10000 (96.96%), error:      1112.27856, best error:      1007.95337 on epoch:    32, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 89.7843170166s, input_fired_time: 0.9458151460, output_fired_time: 0.8811551332, propagate_forward_time: 33.9903564453, propagate_backward_time: 52.0112266541, weight_update_time: 0.0947982371, other_time: 1.9557609558
epoch time: 7.1721348763s, input_fired_time: 0.1196170822, output_fired_time: 0.0000000000, propagate_forward_time: 6.6910328865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3614850044
validation[          , genome  7155] predictions:    9708/  10000 (97.08%), best:    9708/10000 (97.08%), error:       986.29211, best error:       986.29211 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 89.1799468994s, input_fired_time: 0.9315207601, output_fired_time: 0.8457587957, propagate_forward_time: 33.7141189575, propagate_backward_time: 51.7762413025, weight_update_time: 0.0931871980, other_time: 1.9123115540
epoch time: 7.3323893547s, input_fired_time: 0.1374127567, output_fired_time: 0.0000000000, propagate_forward_time: 6.8535065651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3414702415
validation[          , genome  7155] predictions:    9725/  10000 (97.25%), best:    9725/10000 (97.25%), error:       985.14850, best error:       985.14850 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 89.7406921387s, input_fired_time: 0.9371415377, output_fired_time: 0.8493812084, propagate_forward_time: 33.8452033997, propagate_backward_time: 52.1828880310, weight_update_time: 0.0931147113, other_time: 1.9260787964
epoch time: 7.2605242729s, input_fired_time: 0.1197649762, output_fired_time: 0.0000000000, propagate_forward_time: 6.7875332832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3532261848
validation[          , genome  7155] predictions:    9687/  10000 (96.87%), best:    9725/10000 (97.25%), error:      1059.36414, best error:       985.14850 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 89.7309112549s, input_fired_time: 0.9496048093, output_fired_time: 0.8735292554, propagate_forward_time: 33.8784980774, propagate_backward_time: 52.0551033020, weight_update_time: 0.0949693918, other_time: 1.9741744995
epoch time: 7.2043824196s, input_fired_time: 0.1207561865, output_fired_time: 0.0000000000, propagate_forward_time: 6.7354583740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3481678963
validation[          , genome  7155] predictions:    9687/  10000 (96.87%), best:    9725/10000 (97.25%), error:      1043.07239, best error:       985.14850 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 89.8647994995s, input_fired_time: 0.9707595110, output_fired_time: 0.8866657615, propagate_forward_time: 33.8665618896, propagate_backward_time: 52.1758193970, weight_update_time: 0.0948454589, other_time: 1.9649963379
epoch time: 7.2472519875s, input_fired_time: 0.1218578368, output_fired_time: 0.0000000000, propagate_forward_time: 6.7721176147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3532767296
validation[          , genome  7155] predictions:    9684/  10000 (96.84%), best:    9725/10000 (97.25%), error:      1008.07703, best error:       985.14850 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 89.7391128540s, input_fired_time: 0.9445484281, output_fired_time: 0.8659061790, propagate_forward_time: 33.7426757813, propagate_backward_time: 52.2043533325, weight_update_time: 0.0947693884, other_time: 1.9816284180
epoch time: 7.2595820427s, input_fired_time: 0.1197986975, output_fired_time: 0.0000000000, propagate_forward_time: 6.8014979362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3382854462
validation[          , genome  7155] predictions:    9686/  10000 (96.86%), best:    9725/10000 (97.25%), error:      1071.63684, best error:       985.14850 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 89.8901977539s, input_fired_time: 0.9376614690, output_fired_time: 0.8523186445, propagate_forward_time: 33.9664001465, propagate_backward_time: 52.2059249878, weight_update_time: 0.0936283544, other_time: 1.9278945923
epoch time: 7.3478832245s, input_fired_time: 0.1236622259, output_fired_time: 0.0000000000, propagate_forward_time: 6.8617477417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3624734879
validation[          , genome  7155] predictions:    9697/  10000 (96.97%), best:    9725/10000 (97.25%), error:      1035.79175, best error:       985.14850 on epoch:    40, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 89.7867050171s, input_fired_time: 0.9497219324, output_fired_time: 0.8573082685, propagate_forward_time: 33.9834175110, propagate_backward_time: 52.0556678772, weight_update_time: 0.0944335088, other_time: 1.9405899048
epoch time: 7.3737339973s, input_fired_time: 0.1233158261, output_fired_time: 0.0000000000, propagate_forward_time: 6.8850831985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3653349876
validation[          , genome  7155] predictions:    9703/  10000 (97.03%), best:    9725/10000 (97.25%), error:       985.86017, best error:       985.14850 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 89.2787246704s, input_fired_time: 0.9688335657, output_fired_time: 0.8708013892, propagate_forward_time: 33.6049537659, propagate_backward_time: 51.8641548157, weight_update_time: 0.0948548764, other_time: 1.9699783325
epoch time: 7.2000246048s, input_fired_time: 0.1205381379, output_fired_time: 0.0000000000, propagate_forward_time: 6.7222485542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3572378159
validation[          , genome  7155] predictions:    9690/  10000 (96.90%), best:    9725/10000 (97.25%), error:      1005.69647, best error:       985.14850 on epoch:    40, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 89.1021881104s, input_fired_time: 0.9459189773, output_fired_time: 0.8759512305, propagate_forward_time: 33.5210380554, propagate_backward_time: 51.7880592346, weight_update_time: 0.0952373594, other_time: 1.9712219238
epoch time: 7.1795697212s, input_fired_time: 0.1200553402, output_fired_time: 0.0000000000, propagate_forward_time: 6.7108507156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3486638069
validation[          , genome  7155] predictions:    9712/  10000 (97.12%), best:    9712/10000 (97.12%), error:       964.74896, best error:       964.74896 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 90.0467071533s, input_fired_time: 0.9448309541, output_fired_time: 0.8588212132, propagate_forward_time: 33.9798965454, propagate_backward_time: 52.3369026184, weight_update_time: 0.0940404683, other_time: 1.9262580872
epoch time: 7.2989358902s, input_fired_time: 0.1228102073, output_fired_time: 0.0000000000, propagate_forward_time: 6.8332695961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3428559303
validation[          , genome  7155] predictions:    9691/  10000 (96.91%), best:    9712/10000 (97.12%), error:      1017.31171, best error:       964.74896 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 90.0426712036s, input_fired_time: 0.9463493228, output_fired_time: 0.8654639721, propagate_forward_time: 33.9935226440, propagate_backward_time: 52.3171920776, weight_update_time: 0.0936353728, other_time: 1.9201431274
epoch time: 7.1531915665s, input_fired_time: 0.1199300364, output_fired_time: 0.0000000000, propagate_forward_time: 6.6872496605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3460116386
validation[          , genome  7155] predictions:    9697/  10000 (96.97%), best:    9712/10000 (97.12%), error:      1013.66669, best error:       964.74896 on epoch:    48, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 91.2076568604s, input_fired_time: 1.0175123215, output_fired_time: 0.8840157986, propagate_forward_time: 34.3603057861, propagate_backward_time: 52.8985786438, weight_update_time: 0.0957497060, other_time: 2.0472450256
epoch time: 7.1854434013s, input_fired_time: 0.1210030764, output_fired_time: 0.0000000000, propagate_forward_time: 6.7102642059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3541760445
validation[          , genome  7155] predictions:    9713/  10000 (97.13%), best:    9712/10000 (97.12%), error:       979.86926, best error:       964.74896 on epoch:    48, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 89.1350250244s, input_fired_time: 0.9474385977, output_fired_time: 0.8715673089, propagate_forward_time: 33.5788536072, propagate_backward_time: 51.7489089966, weight_update_time: 0.0955602825, other_time: 1.9882545471
epoch time: 7.1980128288s, input_fired_time: 0.1208525300, output_fired_time: 0.0000000000, propagate_forward_time: 6.7197699547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3573904037
validation[          , genome  7155] predictions:    9721/  10000 (97.21%), best:    9721/10000 (97.21%), error:       940.40314, best error:       940.40314 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 89.3885650635s, input_fired_time: 0.9484667182, output_fired_time: 0.8651064634, propagate_forward_time: 33.6814231873, propagate_backward_time: 51.9049797058, weight_update_time: 0.0959387347, other_time: 1.9885940552
epoch time: 7.3047051430s, input_fired_time: 0.1230008826, output_fired_time: 0.0000000000, propagate_forward_time: 6.8205876350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3611164093
validation[          , genome  7155] predictions:    9694/  10000 (96.94%), best:    9721/10000 (97.21%), error:      1023.98297, best error:       940.40314 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 89.1911621094s, input_fired_time: 0.9457263350, output_fired_time: 0.8573822379, propagate_forward_time: 33.6374626160, propagate_backward_time: 51.7738265991, weight_update_time: 0.1068318859, other_time: 1.9767646790
epoch time: 7.1917181015s, input_fired_time: 0.1261875927, output_fired_time: 0.0000000000, propagate_forward_time: 6.7041206360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3614096642
validation[          , genome  7155] predictions:    9694/  10000 (96.94%), best:    9721/10000 (97.21%), error:      1014.19745, best error:       940.40314 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 89.3799743652s, input_fired_time: 0.9457183480, output_fired_time: 0.8561689854, propagate_forward_time: 33.7288169861, propagate_backward_time: 51.8946876526, weight_update_time: 0.0942546353, other_time: 1.9545822144
epoch time: 7.2557168007s, input_fired_time: 0.1230059788, output_fired_time: 0.0000000000, propagate_forward_time: 6.7753343582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3573765755
validation[          , genome  7155] predictions:    9691/  10000 (96.91%), best:    9721/10000 (97.21%), error:      1017.42407, best error:       940.40314 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 89.3885650635s, input_fired_time: 0.9505202770, output_fired_time: 0.8658656478, propagate_forward_time: 33.7755699158, propagate_backward_time: 51.8349647522, weight_update_time: 0.0953231379, other_time: 1.9616394043
epoch time: 7.1972913742s, input_fired_time: 0.1222216487, output_fired_time: 0.0000000000, propagate_forward_time: 6.7257294655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3493404388
validation[          , genome  7155] predictions:    9670/  10000 (96.70%), best:    9721/10000 (97.21%), error:      1047.56274, best error:       940.40314 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 89.6409072876s, input_fired_time: 0.9547225833, output_fired_time: 0.8664937615, propagate_forward_time: 33.8171234131, propagate_backward_time: 52.0279846191, weight_update_time: 0.0954441726, other_time: 1.9745864868
epoch time: 7.1684737206s, input_fired_time: 0.1218810678, output_fired_time: 0.0000000000, propagate_forward_time: 6.6946377754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3519549370
validation[          , genome  7155] predictions:    9699/  10000 (96.99%), best:    9721/10000 (97.21%), error:      1056.87781, best error:       940.40314 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 89.0936965942s, input_fired_time: 0.9479919672, output_fired_time: 0.8606676459, propagate_forward_time: 33.5929946899, propagate_backward_time: 51.7396087646, weight_update_time: 0.0950933993, other_time: 1.9524383545
epoch time: 7.2994661331s, input_fired_time: 0.1354524046, output_fired_time: 0.0000000000, propagate_forward_time: 6.7774000168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3866138458
validation[          , genome  7155] predictions:    9747/  10000 (97.47%), best:    9747/10000 (97.47%), error:       905.05066, best error:       905.05066 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 88.7773208618s, input_fired_time: 0.9423748255, output_fired_time: 0.8513099551, propagate_forward_time: 33.4099540710, propagate_backward_time: 51.6241149902, weight_update_time: 0.0940928012, other_time: 1.9495658875
epoch time: 7.2921390533s, input_fired_time: 0.1229794025, output_fired_time: 0.0000000000, propagate_forward_time: 6.8206343651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3485255241
validation[          , genome  7155] predictions:    9697/  10000 (96.97%), best:    9747/10000 (97.47%), error:       986.16315, best error:       905.05066 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 90.8455276489s, input_fired_time: 0.9545523524, output_fired_time: 0.8709976673, propagate_forward_time: 34.1971893311, propagate_backward_time: 52.8117942810, weight_update_time: 0.0959979966, other_time: 2.0109977722
epoch time: 7.0363144875s, input_fired_time: 0.1210588440, output_fired_time: 0.0000000000, propagate_forward_time: 6.5498561859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3653993607
validation[          , genome  7155] predictions:    9698/  10000 (96.98%), best:    9747/10000 (97.47%), error:      1011.44562, best error:       905.05066 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 89.3059310913s, input_fired_time: 0.9526808858, output_fired_time: 0.8702539206, propagate_forward_time: 33.7742614746, propagate_backward_time: 51.7414588928, weight_update_time: 0.0952311084, other_time: 1.9672737122
epoch time: 7.2108364105s, input_fired_time: 0.1224186271, output_fired_time: 0.0000000000, propagate_forward_time: 6.7299990654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3584189415
validation[          , genome  7155] predictions:    9736/  10000 (97.36%), best:    9747/10000 (97.47%), error:       936.06238, best error:       905.05066 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 90.1150817871s, input_fired_time: 0.9551666379, output_fired_time: 0.8754128218, propagate_forward_time: 33.9944381714, propagate_backward_time: 52.3005599976, weight_update_time: 0.1024495810, other_time: 1.9895019531
epoch time: 7.1644129753s, input_fired_time: 0.1212256774, output_fired_time: 0.0000000000, propagate_forward_time: 6.6937451363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494420052
validation[          , genome  7155] predictions:    9717/  10000 (97.17%), best:    9747/10000 (97.47%), error:       972.02728, best error:       905.05066 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 89.6934127808s, input_fired_time: 0.9511523843, output_fired_time: 0.8620910645, propagate_forward_time: 33.8733100891, propagate_backward_time: 52.0605316162, weight_update_time: 0.0944299102, other_time: 1.9463310242
epoch time: 7.3270130157s, input_fired_time: 0.1243176088, output_fired_time: 0.0000000000, propagate_forward_time: 6.8548622131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3478331566
validation[          , genome  7155] predictions:    9622/  10000 (96.22%), best:    9747/10000 (97.47%), error:      1189.96521, best error:       905.05066 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 90.0645446777s, input_fired_time: 0.9571176171, output_fired_time: 0.8648495674, propagate_forward_time: 34.0047950745, propagate_backward_time: 52.2881431580, weight_update_time: 0.0944018066, other_time: 1.9496383667
epoch time: 7.3174824715s, input_fired_time: 0.1253394932, output_fired_time: 0.0000000000, propagate_forward_time: 6.8285508156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3635921478
validation[          , genome  7155] predictions:    9716/  10000 (97.16%), best:    9747/10000 (97.47%), error:       978.78088, best error:       905.05066 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 88.8873825073s, input_fired_time: 0.9561043978, output_fired_time: 0.8655591607, propagate_forward_time: 33.4768943787, propagate_backward_time: 51.5879249573, weight_update_time: 0.0955867469, other_time: 2.0008926392
epoch time: 7.0445780754s, input_fired_time: 0.1199050397, output_fired_time: 0.0000000000, propagate_forward_time: 6.5684900284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3561830521
validation[          , genome  7155] predictions:    9726/  10000 (97.26%), best:    9747/10000 (97.47%), error:       932.89752, best error:       905.05066 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 88.3614044189s, input_fired_time: 0.9470240474, output_fired_time: 0.8597084880, propagate_forward_time: 33.2772903442, propagate_backward_time: 51.3079109192, weight_update_time: 0.0954870433, other_time: 1.9694709778
epoch time: 7.2332344055s, input_fired_time: 0.1241365522, output_fired_time: 0.0000000000, propagate_forward_time: 6.7468876839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3622102737
validation[          , genome  7155] predictions:    9706/  10000 (97.06%), best:    9747/10000 (97.47%), error:      1010.98749, best error:       905.05066 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 89.4803695679s, input_fired_time: 0.9533753991, output_fired_time: 0.8680620193, propagate_forward_time: 33.7684822083, propagate_backward_time: 51.9247207642, weight_update_time: 0.0952238739, other_time: 1.9657249451
epoch time: 7.2742180824s, input_fired_time: 0.1239245459, output_fired_time: 0.0000000000, propagate_forward_time: 6.8000655174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3502278328
validation[          , genome  7155] predictions:    9718/  10000 (97.18%), best:    9747/10000 (97.47%), error:       951.55682, best error:       905.05066 on epoch:    58, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 89.8161544800s, input_fired_time: 0.9640401602, output_fired_time: 0.8630304337, propagate_forward_time: 33.8983268738, propagate_backward_time: 52.1302871704, weight_update_time: 0.0945163518, other_time: 1.9604682922
epoch time: 7.0566897392s, input_fired_time: 0.1218952388, output_fired_time: 0.0000000000, propagate_forward_time: 6.5711016655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3636927605
validation[          , genome  7155] predictions:    9724/  10000 (97.24%), best:    9747/10000 (97.47%), error:       939.56854, best error:       905.05066 on epoch:    58, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 89.4283828735s, input_fired_time: 0.9573442936, output_fired_time: 0.8561117649, propagate_forward_time: 33.6338996887, propagate_backward_time: 52.0288810730, weight_update_time: 0.0943251029, other_time: 1.9521484375
epoch time: 7.1766495705s, input_fired_time: 0.1220277473, output_fired_time: 0.0000000000, propagate_forward_time: 6.7025179863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3521037102
validation[          , genome  7155] predictions:    9725/  10000 (97.25%), best:    9747/10000 (97.47%), error:       945.38434, best error:       905.05066 on epoch:    58, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 90.2276687622s, input_fired_time: 0.9610956311, output_fired_time: 0.8799852133, propagate_forward_time: 33.8822479248, propagate_backward_time: 52.5076065063, weight_update_time: 0.0959818289, other_time: 1.9967346191
epoch time: 7.1796317101s, input_fired_time: 0.1221211255, output_fired_time: 0.0000000000, propagate_forward_time: 6.7077269554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3497834206
validation[          , genome  7155] predictions:    9732/  10000 (97.32%), best:    9747/10000 (97.47%), error:       912.45074, best error:       905.05066 on epoch:    58, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 89.3035202026s, input_fired_time: 0.9573597312, output_fired_time: 0.8690707088, propagate_forward_time: 33.6698722839, propagate_backward_time: 51.8434028625, weight_update_time: 0.0951807126, other_time: 1.9638137817
epoch time: 7.1771683693s, input_fired_time: 0.1237696931, output_fired_time: 0.0000000000, propagate_forward_time: 6.6924557686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3609428406
validation[          , genome  7155] predictions:    9687/  10000 (96.87%), best:    9747/10000 (97.47%), error:      1024.23926, best error:       905.05066 on epoch:    58, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 88.5079421997s, input_fired_time: 0.9500681758, output_fired_time: 0.8544133902, propagate_forward_time: 33.2868614197, propagate_backward_time: 51.4432373047, weight_update_time: 0.0955454782, other_time: 1.9733619690
epoch time: 7.2301707268s, input_fired_time: 0.1220713779, output_fired_time: 0.0000000000, propagate_forward_time: 6.7501115799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3579878807
validation[          , genome  7155] predictions:    9736/  10000 (97.36%), best:    9747/10000 (97.47%), error:       956.47192, best error:       905.05066 on epoch:    58, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 90.4060974121s, input_fired_time: 0.9677847028, output_fired_time: 0.8738015890, propagate_forward_time: 34.0263099670, propagate_backward_time: 52.5623359680, weight_update_time: 0.0952740610, other_time: 1.9758682251
epoch time: 7.3733930588s, input_fired_time: 0.1229574680, output_fired_time: 0.0000000000, propagate_forward_time: 6.8994450569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3509907722
validation[          , genome  7155] predictions:    9647/  10000 (96.47%), best:    9747/10000 (97.47%), error:      1192.35767, best error:       905.05066 on epoch:    58, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 91.0947341919s, input_fired_time: 0.9857141376, output_fired_time: 0.8799227476, propagate_forward_time: 34.4015655518, propagate_backward_time: 52.8347282410, weight_update_time: 0.0984208211, other_time: 1.9928016663
epoch time: 7.2546935081s, input_fired_time: 0.1223346144, output_fired_time: 0.0000000000, propagate_forward_time: 6.7851700783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3471889496
validation[          , genome  7155] predictions:    9742/  10000 (97.42%), best:    9747/10000 (97.47%), error:       919.74756, best error:       905.05066 on epoch:    58, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 90.7111968994s, input_fired_time: 0.9951889515, output_fired_time: 0.9025233388, propagate_forward_time: 34.2950057983, propagate_backward_time: 52.5851287842, weight_update_time: 0.0962489098, other_time: 1.9333496094
epoch time: 7.2142939568s, input_fired_time: 0.1234685406, output_fired_time: 0.0000000000, propagate_forward_time: 6.7319221497, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3589034081
validation[          , genome  7155] predictions:    9740/  10000 (97.40%), best:    9740/10000 (97.40%), error:       898.67670, best error:       898.67670 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 90.9608612061s, input_fired_time: 0.9827967882, output_fired_time: 0.8893760443, propagate_forward_time: 34.3161315918, propagate_backward_time: 52.8176803589, weight_update_time: 0.0962064490, other_time: 1.9548797607
epoch time: 7.2535958290s, input_fired_time: 0.1242594421, output_fired_time: 0.0000000000, propagate_forward_time: 6.7752184868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3541178703
validation[          , genome  7155] predictions:    9743/  10000 (97.43%), best:    9743/10000 (97.43%), error:       877.53192, best error:       877.53192 on epoch:    76, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 91.5433197021s, input_fired_time: 0.9793767929, output_fired_time: 0.9198843241, propagate_forward_time: 34.6102523804, propagate_backward_time: 53.0709648132, weight_update_time: 0.0971204937, other_time: 1.9628410339
epoch time: 7.3866419792s, input_fired_time: 0.1246021837, output_fired_time: 0.0000000000, propagate_forward_time: 6.8864970207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3755426407
validation[          , genome  7155] predictions:    9694/  10000 (96.94%), best:    9743/10000 (97.43%), error:       972.99628, best error:       877.53192 on epoch:    76, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 90.4920806885s, input_fired_time: 0.9859198928, output_fired_time: 0.8871332407, propagate_forward_time: 34.2020645142, propagate_backward_time: 52.4577484131, weight_update_time: 0.0965091810, other_time: 1.9592208862
epoch time: 7.4071011543s, input_fired_time: 0.1236167699, output_fired_time: 0.0000000000, propagate_forward_time: 6.9348330498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3486514091
validation[          , genome  7155] predictions:    9657/  10000 (96.57%), best:    9743/10000 (97.43%), error:      1166.02563, best error:       877.53192 on epoch:    76, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 90.7149353027s, input_fired_time: 0.9730187654, output_fired_time: 0.8871272206, propagate_forward_time: 34.2233581543, propagate_backward_time: 52.6466140747, weight_update_time: 0.0973301977, other_time: 1.9848098755
epoch time: 7.4026627541s, input_fired_time: 0.1247844175, output_fired_time: 0.0000000000, propagate_forward_time: 6.9270815849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3507966995
validation[          , genome  7155] predictions:    9733/  10000 (97.33%), best:    9743/10000 (97.43%), error:       944.11523, best error:       877.53192 on epoch:    76, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 91.6290969849s, input_fired_time: 0.9867538810, output_fired_time: 0.8904926181, propagate_forward_time: 34.7699317932, propagate_backward_time: 52.9962043762, weight_update_time: 0.0973394886, other_time: 1.9857101440
epoch time: 7.3667941093s, input_fired_time: 0.1252557039, output_fired_time: 0.0000000000, propagate_forward_time: 6.8824763298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3590621948
validation[          , genome  7155] predictions:    9727/  10000 (97.27%), best:    9743/10000 (97.43%), error:       975.40485, best error:       877.53192 on epoch:    76, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 90.3832550049s, input_fired_time: 0.9721426368, output_fired_time: 0.8755327463, propagate_forward_time: 34.1161155701, propagate_backward_time: 52.4491119385, weight_update_time: 0.0957917422, other_time: 1.9703483582
epoch time: 7.1893448830s, input_fired_time: 0.1236492544, output_fired_time: 0.0000000000, propagate_forward_time: 6.7085742950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3571214676
validation[          , genome  7155] predictions:    9708/  10000 (97.08%), best:    9743/10000 (97.43%), error:      1003.13281, best error:       877.53192 on epoch:    76, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 90.1604690552s, input_fired_time: 0.9670322537, output_fired_time: 0.8984870911, propagate_forward_time: 33.9643058777, propagate_backward_time: 52.3656539917, weight_update_time: 0.0954415426, other_time: 1.9649925232
epoch time: 7.3411235809s, input_fired_time: 0.1327424049, output_fired_time: 0.0000000000, propagate_forward_time: 6.8490815163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3592996597
validation[          , genome  7155] predictions:    9707/  10000 (97.07%), best:    9743/10000 (97.43%), error:       981.69513, best error:       877.53192 on epoch:    76, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 90.3186264038s, input_fired_time: 0.9673668146, output_fired_time: 0.8776082993, propagate_forward_time: 34.1035003662, propagate_backward_time: 52.4354858398, weight_update_time: 0.0962086692, other_time: 1.9346618652
epoch time: 7.3682537079s, input_fired_time: 0.1263586134, output_fired_time: 0.0000000000, propagate_forward_time: 6.8879017830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3539934158
validation[          , genome  7155] predictions:    9717/  10000 (97.17%), best:    9743/10000 (97.43%), error:       977.59290, best error:       877.53192 on epoch:    76, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 91.1858901978s, input_fired_time: 0.9852790236, output_fired_time: 0.9034996629, propagate_forward_time: 34.4081916809, propagate_backward_time: 52.9312820435, weight_update_time: 0.0955403149, other_time: 1.9576377869
epoch time: 7.2893447876s, input_fired_time: 0.1250702441, output_fired_time: 0.0000000000, propagate_forward_time: 6.8139328957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3503417969
validation[          , genome  7155] predictions:    9701/  10000 (97.01%), best:    9743/10000 (97.43%), error:       957.44214, best error:       877.53192 on epoch:    76, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 90.8370590210s, input_fired_time: 0.9845398664, output_fired_time: 0.8877886534, propagate_forward_time: 34.1980590820, propagate_backward_time: 52.7802238464, weight_update_time: 0.0958712846, other_time: 1.9864463806
epoch time: 7.3115892410s, input_fired_time: 0.1244248599, output_fired_time: 0.0000000000, propagate_forward_time: 6.8294944763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3576698303
validation[          , genome  7155] predictions:    9710/  10000 (97.10%), best:    9743/10000 (97.43%), error:       981.96051, best error:       877.53192 on epoch:    76, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 90.0510177612s, input_fired_time: 0.9654327035, output_fired_time: 0.8742370009, propagate_forward_time: 34.0164299011, propagate_backward_time: 52.2216606140, weight_update_time: 0.1136750430, other_time: 1.9732589722
epoch time: 7.3423161507s, input_fired_time: 0.1258053929, output_fired_time: 0.0000000000, propagate_forward_time: 6.8715581894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3449525833
validation[          , genome  7155] predictions:    9718/  10000 (97.18%), best:    9743/10000 (97.43%), error:       939.39996, best error:       877.53192 on epoch:    76, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 93.6904144287s, input_fired_time: 0.9760278463, output_fired_time: 0.9214935303, propagate_forward_time: 35.7392349243, propagate_backward_time: 54.1015815735, weight_update_time: 0.1055168658, other_time: 1.9520759583
epoch time: 8.2232141495s, input_fired_time: 0.1381527334, output_fired_time: 0.0000000000, propagate_forward_time: 7.6993126869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3857483864
validation[          , genome  7155] predictions:    9701/  10000 (97.01%), best:    9743/10000 (97.43%), error:      1002.55157, best error:       877.53192 on epoch:    76, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 100.0563430786s, input_fired_time: 1.0402238369, output_fired_time: 0.9004890919, propagate_forward_time: 37.9363098145, propagate_backward_time: 58.0536231995, weight_update_time: 0.0962466449, other_time: 2.1256980896
epoch time: 7.7598357201s, input_fired_time: 0.1256521046, output_fired_time: 0.0000000000, propagate_forward_time: 7.2605848312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3735985756
validation[          , genome  7155] predictions:    9704/  10000 (97.04%), best:    9743/10000 (97.43%), error:      1034.45154, best error:       877.53192 on epoch:    76, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 98.8620529175s, input_fired_time: 1.1025313139, output_fired_time: 1.0818290710, propagate_forward_time: 37.4502601624, propagate_backward_time: 57.1374359131, weight_update_time: 0.0972527862, other_time: 2.0899925232
epoch time: 8.0412302017s, input_fired_time: 0.1244829223, output_fired_time: 0.0000000000, propagate_forward_time: 7.5577535629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3589935303
validation[          , genome  7155] predictions:    9702/  10000 (97.02%), best:    9743/10000 (97.43%), error:      1001.95599, best error:       877.53192 on epoch:    76, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 108.6064300537s, input_fired_time: 1.1486741304, output_fired_time: 1.0297929049, propagate_forward_time: 41.2018127441, propagate_backward_time: 62.9237136841, weight_update_time: 0.1258312911, other_time: 2.3024368286
epoch time: 8.2335443497s, input_fired_time: 0.1259975284, output_fired_time: 0.0000000000, propagate_forward_time: 7.6932325363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4143142700
validation[          , genome  7155] predictions:    9659/  10000 (96.59%), best:    9743/10000 (97.43%), error:      1170.14246, best error:       877.53192 on epoch:    76, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 97.5729370117s, input_fired_time: 1.0242276192, output_fired_time: 0.9464896321, propagate_forward_time: 36.6330375671, propagate_backward_time: 56.8923339844, weight_update_time: 0.0961149782, other_time: 2.0768470764
epoch time: 10.8755683899s, input_fired_time: 0.1248376966, output_fired_time: 0.0000000000, propagate_forward_time: 10.3306245804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4201059341
validation[          , genome  7155] predictions:    9732/  10000 (97.32%), best:    9743/10000 (97.43%), error:       884.04932, best error:       877.53192 on epoch:    76, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 122.3390884399s, input_fired_time: 1.2097159624, output_fired_time: 1.1843656301, propagate_forward_time: 46.0011367798, propagate_backward_time: 71.2049407959, weight_update_time: 0.1558441967, other_time: 2.7389297485
epoch time: 7.2533655167s, input_fired_time: 0.1262023002, output_fired_time: 0.0000000000, propagate_forward_time: 6.7642736435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3628897667
validation[          , genome  7155] predictions:    9698/  10000 (96.98%), best:    9743/10000 (97.43%), error:      1000.66711, best error:       877.53192 on epoch:    76, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 99.3390197754s, input_fired_time: 1.0737162828, output_fired_time: 1.0261931419, propagate_forward_time: 37.4914550781, propagate_backward_time: 57.5401344299, weight_update_time: 0.0955095887, other_time: 2.2075233459
epoch time: 9.7254991531s, input_fired_time: 0.1276772022, output_fired_time: 0.0000000000, propagate_forward_time: 9.0890588760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5087633133
validation[          , genome  7155] predictions:    9717/  10000 (97.17%), best:    9743/10000 (97.43%), error:       946.60760, best error:       877.53192 on epoch:    76, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 109.6313705444s, input_fired_time: 1.2600930929, output_fired_time: 1.1851966381, propagate_forward_time: 40.8122329712, propagate_backward_time: 63.6565818787, weight_update_time: 0.1025902703, other_time: 2.7172660828
epoch time: 8.9133214951s, input_fired_time: 0.1274422854, output_fired_time: 0.0000000000, propagate_forward_time: 8.3301601410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4557189941
validation[          , genome  7155] predictions:    9742/  10000 (97.42%), best:    9743/10000 (97.43%), error:       908.43884, best error:       877.53192 on epoch:    76, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 94.1793212891s, input_fired_time: 1.0633755922, output_fired_time: 0.9295762181, propagate_forward_time: 35.3723449707, propagate_backward_time: 54.7562026978, weight_update_time: 0.1062409729, other_time: 2.0578231812
epoch time: 7.2046175003s, input_fired_time: 0.1246214136, output_fired_time: 0.0000000000, propagate_forward_time: 6.7101793289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3698167801
validation[          , genome  7155] predictions:    9674/  10000 (96.74%), best:    9743/10000 (97.43%), error:      1129.66492, best error:       877.53192 on epoch:    76, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 102.1452713013s, input_fired_time: 1.1354751587, output_fired_time: 1.0436921120, propagate_forward_time: 38.5877265930, propagate_backward_time: 59.2763023376, weight_update_time: 0.1107030436, other_time: 2.1020736694
epoch time: 7.9801712036s, input_fired_time: 0.1275901794, output_fired_time: 0.0000000000, propagate_forward_time: 7.4828577042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3697233200
validation[          , genome  7155] predictions:    9732/  10000 (97.32%), best:    9743/10000 (97.43%), error:       968.53882, best error:       877.53192 on epoch:    76, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 97.0761337280s, input_fired_time: 1.0627363920, output_fired_time: 0.9303065538, propagate_forward_time: 36.7497596741, propagate_backward_time: 56.1057395935, weight_update_time: 0.0964783132, other_time: 2.2275924683
epoch time: 7.3438639641s, input_fired_time: 0.1259255707, output_fired_time: 0.0000000000, propagate_forward_time: 6.8525018692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3654365540
validation[          , genome  7155] predictions:    9724/  10000 (97.24%), best:    9743/10000 (97.43%), error:       945.76489, best error:       877.53192 on epoch:    76, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 91.6980361938s, input_fired_time: 1.0264978409, output_fired_time: 0.8824723959, propagate_forward_time: 34.5231323242, propagate_backward_time: 53.2304878235, weight_update_time: 0.0957512036, other_time: 2.0354499817
epoch time: 7.5919733047s, input_fired_time: 0.1296155900, output_fired_time: 0.0000000000, propagate_forward_time: 7.0972700119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3650875092
validation[          , genome  7155] predictions:    9700/  10000 (97.00%), best:    9743/10000 (97.43%), error:      1019.81543, best error:       877.53192 on epoch:    76, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 91.1751480103s, input_fired_time: 1.0178250074, output_fired_time: 0.8886917830, propagate_forward_time: 34.4867095947, propagate_backward_time: 52.7821350098, weight_update_time: 0.0944241434, other_time: 1.9997863770
epoch time: 7.5113344193s, input_fired_time: 0.1257800758, output_fired_time: 0.0000000000, propagate_forward_time: 7.0065264702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3790278435
validation[          , genome  7155] predictions:    9738/  10000 (97.38%), best:    9743/10000 (97.43%), error:       926.28442, best error:       877.53192 on epoch:    76, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 93.2035446167s, input_fired_time: 1.0302656889, output_fired_time: 0.9422491193, propagate_forward_time: 34.9794883728, propagate_backward_time: 54.2174987793, weight_update_time: 0.0961583555, other_time: 2.0340461731
epoch time: 7.5776677132s, input_fired_time: 0.1325442493, output_fired_time: 0.0000000000, propagate_forward_time: 7.0028390884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4422845840
validation[          , genome  7155] predictions:    9727/  10000 (97.27%), best:    9743/10000 (97.43%), error:       958.62299, best error:       877.53192 on epoch:    76, 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: 37.7593612671s, input_fired_time: 0.6551007628, output_fired_time: 0.0000000000, propagate_forward_time: 35.2426414490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8616180420
best training[          , genome  7155] predictions:   49480/  50000 (98.96%), best:    9743/10000 (97.43%), error:      2172.30396, best error:       877.53192 on epoch:    76, 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: 8.9379348755s, input_fired_time: 0.1569382995, output_fired_time: 0.0000000000, propagate_forward_time: 8.3823223114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3986740112
   testing[          , genome  7155] predictions:    9748/  10000 (97.48%), best:    9743/10000 (97.43%), error:       837.45605, best error:       877.53192 on epoch:    76, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
19:19:58 (10960): called boinc_finish(0)

</stderr_txt>
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