Nameexact_genome_1508499903_21_15285_0
Workunit2266812
Created25 Oct 2017, 8:25:36 UTC
Sent25 Oct 2017, 8:54:24 UTC
Report deadline11 Dec 2017, 12:04:41 UTC
Received29 Oct 2017, 9:24:31 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time1 days 8 hours 2 min 44 sec
CPU time22 hours 50 min 31 sec
Validate stateInitial
Credit0.00
Device peak FLOPS2.21 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size172.46 MB
Peak swap size177.27 MB
Peak disk usage5.68 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
6, output_fired_time: 0.0000000000, propagate_forward_time: 41.7321166992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5209884644
validation[          , genome 15285] predictions:    9828/  10000 (98.28%), best:    9857/10000 (98.57%), error:       533.55969, best error:       471.74442 on epoch:    12, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 504.4649353027s, input_fired_time: 7.9463605881, output_fired_time: 6.3354392052, propagate_forward_time: 177.5450134277, propagate_backward_time: 304.6001892090, weight_update_time: 0.5485751033, other_time: 8.0379333496
epoch time: 39.7248916626s, input_fired_time: 0.9246856570, output_fired_time: 0.0000000000, propagate_forward_time: 37.3547744751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4454307556
validation[          , genome 15285] predictions:    9818/  10000 (98.18%), best:    9857/10000 (98.57%), error:       567.31708, best error:       471.74442 on epoch:    12, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 574.9313354492s, input_fired_time: 8.5132303238, output_fired_time: 7.1145625114, propagate_forward_time: 205.9128112793, propagate_backward_time: 344.7499084473, weight_update_time: 0.5951119065, other_time: 8.6408081055
epoch time: 35.2020759583s, input_fired_time: 0.8663462400, output_fired_time: 0.0000000000, propagate_forward_time: 32.9515647888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3841667175
validation[          , genome 15285] predictions:    9844/  10000 (98.44%), best:    9857/10000 (98.57%), error:       505.41791, best error:       471.74442 on epoch:    12, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 582.1677246094s, input_fired_time: 8.5711650848, output_fired_time: 7.2052354813, propagate_forward_time: 209.2778930664, propagate_backward_time: 348.5582275391, weight_update_time: 0.5963388085, other_time: 8.5551757813
epoch time: 43.9892539978s, input_fired_time: 1.0048619509, output_fired_time: 0.0000000000, propagate_forward_time: 41.4720954895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5122947693
validation[          , genome 15285] predictions:    9878/  10000 (98.78%), best:    9878/10000 (98.78%), error:       394.90466, best error:       394.90466 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 575.2945556641s, input_fired_time: 8.5297079086, output_fired_time: 7.1099181175, propagate_forward_time: 206.5632476807, propagate_backward_time: 344.5234375000, weight_update_time: 0.5945558548, other_time: 8.5682373047
epoch time: 35.6591415405s, input_fired_time: 0.8797674775, output_fired_time: 0.0000000000, propagate_forward_time: 33.3849067688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3944664001
validation[          , genome 15285] predictions:    9845/  10000 (98.45%), best:    9878/10000 (98.78%), error:       504.15366, best error:       394.90466 on epoch:    24, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 582.4179077148s, input_fired_time: 8.5949478149, output_fired_time: 7.2072215080, propagate_forward_time: 209.8529205322, propagate_backward_time: 348.0423889160, weight_update_time: 0.6002962589, other_time: 8.7204284668
epoch time: 49.4400711060s, input_fired_time: 1.0888538361, output_fired_time: 0.0000000000, propagate_forward_time: 46.7158393860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6353797913
validation[          , genome 15285] predictions:    9836/  10000 (98.36%), best:    9878/10000 (98.78%), error:       548.86310, best error:       394.90466 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 612.2832641602s, input_fired_time: 8.8521270752, output_fired_time: 7.5490174294, propagate_forward_time: 221.8261260986, propagate_backward_time: 365.2196350098, weight_update_time: 0.6170663238, other_time: 8.8363952637
epoch time: 51.6661376953s, input_fired_time: 1.1264388561, output_fired_time: 0.0000000000, propagate_forward_time: 48.8769989014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6627006531
validation[          , genome 15285] predictions:    9836/  10000 (98.36%), best:    9878/10000 (98.78%), error:       533.06555, best error:       394.90466 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 576.5614624023s, input_fired_time: 8.5463247299, output_fired_time: 7.1251053810, propagate_forward_time: 207.1236877441, propagate_backward_time: 345.2597961426, weight_update_time: 0.5916303396, other_time: 8.5065307617
epoch time: 33.9555168152s, input_fired_time: 0.8461942077, output_fired_time: 0.0000000000, propagate_forward_time: 31.7326946259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3766269684
validation[          , genome 15285] predictions:    9838/  10000 (98.38%), best:    9878/10000 (98.78%), error:       469.67227, best error:       394.90466 on epoch:    24, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 577.3645019531s, input_fired_time: 8.5515050888, output_fired_time: 7.1514863968, propagate_forward_time: 207.6946411133, propagate_backward_time: 345.5371704102, weight_update_time: 0.5939732790, other_time: 8.4296875000
epoch time: 36.8695678711s, input_fired_time: 0.8911651373, output_fired_time: 0.0000000000, propagate_forward_time: 34.5744056702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4039955139
validation[          , genome 15285] predictions:    9872/  10000 (98.72%), best:    9878/10000 (98.78%), error:       422.60971, best error:       394.90466 on epoch:    24, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 625.6836547852s, input_fired_time: 9.3456382751, output_fired_time: 7.5321688652, propagate_forward_time: 221.1337280273, propagate_backward_time: 379.2176208496, weight_update_time: 0.5931883454, other_time: 8.4544982910
epoch time: 78.7851257324s, input_fired_time: 1.2974404097, output_fired_time: 0.0000000000, propagate_forward_time: 74.8663940430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6212921143
validation[          , genome 15285] predictions:    9845/  10000 (98.45%), best:    9878/10000 (98.78%), error:       491.01407, best error:       394.90466 on epoch:    24, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 960.6536865234s, input_fired_time: 12.1655864716, output_fired_time: 11.5072145462, propagate_forward_time: 357.2131958008, propagate_backward_time: 567.0056762695, weight_update_time: 0.7186741233, other_time: 12.7620239258
epoch time: 69.0159683228s, input_fired_time: 1.2155392170, output_fired_time: 0.0000000000, propagate_forward_time: 65.3623352051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4380950928
validation[          , genome 15285] predictions:    9870/  10000 (98.70%), best:    9878/10000 (98.78%), error:       472.98633, best error:       394.90466 on epoch:    24, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

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_1508499903_21_15285.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_21_15285_0_r385512620_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: 0.895082
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00242139
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.68557e-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: 32
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 9878
read best_validation_error: 394.905
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: 15285
read normal distribution: '1 0 0'
generator_str: '2113350655'
read generator: 2113350655
read generated_by_map:
1 crossover 1
reading 83 nodes.
reading 270 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: 985.795166015625s, input_fired_time: 11.152530670166, output_fired_time: 12.5372352600098, propagate_forward_time: 363.423950195313, propagate_backward_time: 586.392578125, weight_update_time: 0.939701795578003, other_time: 12.2888793945313
epoch time: 79.3960342407227s, input_fired_time: 1.305011510849, output_fired_time: 0, propagate_forward_time: 75.6512680053711, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.43975830078125
validation[          , genome 15285] predictions:    9843/  10000 (98.43%), best:    9878/10000 (98.78%), error:       483.83701, best error:       394.90466 on epoch:    24, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1083.9145507813s, input_fired_time: 13.4587678909, output_fired_time: 11.0312738419, propagate_forward_time: 394.8388977051, propagate_backward_time: 649.2724609375, weight_update_time: 0.8025007844, other_time: 15.3132324219
epoch time: 83.6887359619s, input_fired_time: 1.3521422148, output_fired_time: 0.0000000000, propagate_forward_time: 79.6606063843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6759872437
validation[          , genome 15285] predictions:    9810/  10000 (98.10%), best:    9878/10000 (98.78%), error:       555.84320, best error:       394.90466 on epoch:    24, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1079.9407958984s, input_fired_time: 15.5757017136, output_fired_time: 12.0283317566, propagate_forward_time: 416.2578735352, propagate_backward_time: 620.7243041992, weight_update_time: 0.8092626333, other_time: 15.3546142578
epoch time: 87.6279449463s, input_fired_time: 1.7758735418, output_fired_time: 0.0000000000, propagate_forward_time: 82.9273071289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9247665405
validation[          , genome 15285] predictions:    9851/  10000 (98.51%), best:    9878/10000 (98.78%), error:       482.53943, best error:       394.90466 on epoch:    24, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1118.0168457031s, input_fired_time: 15.2792711258, output_fired_time: 14.3370571136, propagate_forward_time: 415.5528259277, propagate_backward_time: 659.4539184570, weight_update_time: 1.0967729092, other_time: 13.3937377930
epoch time: 84.7806167603s, input_fired_time: 1.5287897587, output_fired_time: 0.0000000000, propagate_forward_time: 80.5791397095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6726837158
validation[          , genome 15285] predictions:    9859/  10000 (98.59%), best:    9878/10000 (98.78%), error:       452.07315, best error:       394.90466 on epoch:    24, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 985.5988769531s, input_fired_time: 12.4908771515, output_fired_time: 10.9532604218, propagate_forward_time: 367.9837951660, propagate_backward_time: 580.8507690430, weight_update_time: 0.9493859410, other_time: 13.3201293945
epoch time: 59.4225273132s, input_fired_time: 1.2590234280, output_fired_time: 0.0000000000, propagate_forward_time: 56.3346214294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8288841248
validation[          , genome 15285] predictions:    9841/  10000 (98.41%), best:    9878/10000 (98.78%), error:       514.26019, best error:       394.90466 on epoch:    24, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 764.9523315430s, input_fired_time: 10.2009820938, output_fired_time: 9.2057590485, propagate_forward_time: 280.4832458496, propagate_backward_time: 454.7276611328, weight_update_time: 0.7368903756, other_time: 10.3346862793
epoch time: 59.7737464905s, input_fired_time: 1.2534033060, output_fired_time: 0.0000000000, propagate_forward_time: 56.6584243774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8619194031
validation[          , genome 15285] predictions:    9880/  10000 (98.80%), best:    9878/10000 (98.78%), error:       415.54578, best error:       394.90466 on epoch:    24, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 757.8316650391s, input_fired_time: 10.3798847198, output_fired_time: 9.0758380890, propagate_forward_time: 282.5187988281, propagate_backward_time: 445.7534790039, weight_update_time: 0.7319594622, other_time: 10.1036376953
epoch time: 56.7319068909s, input_fired_time: 1.2721309662, output_fired_time: 0.0000000000, propagate_forward_time: 53.6752471924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7845306396
validation[          , genome 15285] predictions:    9869/  10000 (98.69%), best:    9878/10000 (98.78%), error:       423.43634, best error:       394.90466 on epoch:    24, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 753.1853027344s, input_fired_time: 10.2697954178, output_fired_time: 8.9517745972, propagate_forward_time: 279.0165100098, propagate_backward_time: 445.0969238281, weight_update_time: 0.7189757228, other_time: 9.8503112793
epoch time: 59.7487564087s, input_fired_time: 1.3041379452, output_fired_time: 0.0000000000, propagate_forward_time: 56.5827178955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8619003296
validation[          , genome 15285] predictions:    9864/  10000 (98.64%), best:    9878/10000 (98.78%), error:       411.30692, best error:       394.90466 on epoch:    24, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 764.1413574219s, input_fired_time: 10.7068462372, output_fired_time: 9.1506690979, propagate_forward_time: 285.5346069336, propagate_backward_time: 448.3567810059, weight_update_time: 0.7048768997, other_time: 10.3924255371
epoch time: 58.8483619690s, input_fired_time: 1.2034715414, output_fired_time: 0.0000000000, propagate_forward_time: 55.8193817139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8255081177
validation[          , genome 15285] predictions:    9859/  10000 (98.59%), best:    9878/10000 (98.78%), error:       450.22681, best error:       394.90466 on epoch:    24, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 750.4788818359s, input_fired_time: 10.3151865005, output_fired_time: 9.1441373825, propagate_forward_time: 278.4481201172, propagate_backward_time: 442.8221435547, weight_update_time: 0.6928035617, other_time: 9.7492675781
epoch time: 58.2133178711s, input_fired_time: 1.2921017408, output_fired_time: 0.0000000000, propagate_forward_time: 55.0875740051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8336410522
validation[          , genome 15285] predictions:    9882/  10000 (98.82%), best:    9878/10000 (98.78%), error:       398.47147, best error:       394.90466 on epoch:    24, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 759.5441284180s, input_fired_time: 10.1760969162, output_fired_time: 9.1955499649, propagate_forward_time: 282.3722839355, propagate_backward_time: 447.7337646484, weight_update_time: 0.7856328487, other_time: 10.0664367676
epoch time: 62.7640075684s, input_fired_time: 1.2708398104, output_fired_time: 0.0000000000, propagate_forward_time: 59.6473236084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8458442688
validation[          , genome 15285] predictions:    9858/  10000 (98.58%), best:    9878/10000 (98.78%), error:       473.67319, best error:       394.90466 on epoch:    24, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 771.6853637695s, input_fired_time: 10.1237173080, output_fired_time: 9.4079618454, propagate_forward_time: 286.5684204102, propagate_backward_time: 455.3558959961, weight_update_time: 0.7063724399, other_time: 10.2293701172
epoch time: 59.9934196472s, input_fired_time: 1.3571662903, output_fired_time: 0.0000000000, propagate_forward_time: 56.9144630432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7217903137
validation[          , genome 15285] predictions:    9881/  10000 (98.81%), best:    9878/10000 (98.78%), error:       407.26196, best error:       394.90466 on epoch:    24, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 772.6273193359s, input_fired_time: 10.2667245865, output_fired_time: 9.2975387573, propagate_forward_time: 288.3354492188, propagate_backward_time: 454.7294311523, weight_update_time: 0.7388674617, other_time: 9.9981689453
epoch time: 59.6090354919s, input_fired_time: 1.3822969198, output_fired_time: 0.0000000000, propagate_forward_time: 56.5153923035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7113456726
validation[          , genome 15285] predictions:    9898/  10000 (98.98%), best:    9898/10000 (98.98%), error:       353.42627, best error:       353.42627 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 752.3787841797s, input_fired_time: 10.1277074814, output_fired_time: 9.1935825348, propagate_forward_time: 277.9215393066, propagate_backward_time: 445.0476989746, weight_update_time: 0.6925053000, other_time: 10.0882568359
epoch time: 57.4073028564s, input_fired_time: 1.2290595770, output_fired_time: 0.0000000000, propagate_forward_time: 54.3550682068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8231735229
validation[          , genome 15285] predictions:    9887/  10000 (98.87%), best:    9898/10000 (98.98%), error:       387.00946, best error:       353.42627 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 743.2106323242s, input_fired_time: 10.0592927933, output_fired_time: 9.0827808380, propagate_forward_time: 273.7081604004, propagate_backward_time: 440.5165100098, weight_update_time: 0.6836274862, other_time: 9.8439331055
epoch time: 55.8176307678s, input_fired_time: 1.2410116196, output_fired_time: 0.0000000000, propagate_forward_time: 52.8332405090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7433776855
validation[          , genome 15285] predictions:    9880/  10000 (98.80%), best:    9898/10000 (98.98%), error:       392.90829, best error:       353.42627 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 733.8245239258s, input_fired_time: 9.8369817734, output_fired_time: 9.0657587051, propagate_forward_time: 271.5726928711, propagate_backward_time: 433.7225646973, weight_update_time: 0.7044497132, other_time: 9.6265563965
epoch time: 56.9404373169s, input_fired_time: 1.2551938295, output_fired_time: 0.0000000000, propagate_forward_time: 53.9846076965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7006340027
validation[          , genome 15285] predictions:    9883/  10000 (98.83%), best:    9898/10000 (98.98%), error:       407.17715, best error:       353.42627 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 740.0353393555s, input_fired_time: 10.1480722427, output_fired_time: 8.8167448044, propagate_forward_time: 274.3473205566, propagate_backward_time: 436.8231811523, weight_update_time: 0.6974483132, other_time: 9.8999938965
epoch time: 57.8404579163s, input_fired_time: 1.2325922251, output_fired_time: 0.0000000000, propagate_forward_time: 54.8583183289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7495460510
validation[          , genome 15285] predictions:    9901/  10000 (99.01%), best:    9898/10000 (98.98%), error:       353.68832, best error:       353.42627 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 741.5565185547s, input_fired_time: 9.9346990585, output_fired_time: 9.0761346817, propagate_forward_time: 275.5515747070, propagate_backward_time: 437.1387329102, weight_update_time: 0.6834496856, other_time: 9.8554077148
epoch time: 56.6592025757s, input_fired_time: 1.2911046743, output_fired_time: 0.0000000000, propagate_forward_time: 53.4954414368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8726577759
validation[          , genome 15285] predictions:    9893/  10000 (98.93%), best:    9898/10000 (98.98%), error:       358.66776, best error:       353.42627 on epoch:    44, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 737.1741333008s, input_fired_time: 10.0576553345, output_fired_time: 8.7492170334, propagate_forward_time: 273.2181396484, propagate_backward_time: 435.3420104980, weight_update_time: 0.6820372939, other_time: 9.8070983887
epoch time: 55.9405708313s, input_fired_time: 1.2191261053, output_fired_time: 0.0000000000, propagate_forward_time: 52.9568939209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7645492554
validation[          , genome 15285] predictions:    9821/  10000 (98.21%), best:    9898/10000 (98.98%), error:       560.75317, best error:       353.42627 on epoch:    44, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 747.9827880859s, input_fired_time: 9.9446296692, output_fired_time: 9.1483650208, propagate_forward_time: 275.6799926758, propagate_backward_time: 443.2225036621, weight_update_time: 0.7218686342, other_time: 9.9872741699
epoch time: 58.2226295471s, input_fired_time: 1.2383685112, output_fired_time: 0.0000000000, propagate_forward_time: 55.1732826233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8109779358
validation[          , genome 15285] predictions:    9891/  10000 (98.91%), best:    9898/10000 (98.98%), error:       377.54791, best error:       353.42627 on epoch:    44, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 742.9641723633s, input_fired_time: 10.0750007629, output_fired_time: 9.0600652695, propagate_forward_time: 274.8384399414, propagate_backward_time: 439.0865478516, weight_update_time: 0.7224625945, other_time: 9.9041137695
epoch time: 59.4552307129s, input_fired_time: 1.2594161034, output_fired_time: 0.0000000000, propagate_forward_time: 56.2050018311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9908142090
validation[          , genome 15285] predictions:    9882/  10000 (98.82%), best:    9898/10000 (98.98%), error:       380.37897, best error:       353.42627 on epoch:    44, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 720.6328735352s, input_fired_time: 9.8505878448, output_fired_time: 8.8148097992, propagate_forward_time: 265.5957336426, propagate_backward_time: 426.5165710449, weight_update_time: 0.6866306663, other_time: 9.8551635742
epoch time: 55.4746513367s, input_fired_time: 1.2009508610, output_fired_time: 0.0000000000, propagate_forward_time: 52.5422210693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7314796448
validation[          , genome 15285] predictions:    9872/  10000 (98.72%), best:    9898/10000 (98.98%), error:       433.58243, best error:       353.42627 on epoch:    44, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 750.8067626953s, input_fired_time: 10.1417703629, output_fired_time: 9.1997346878, propagate_forward_time: 277.1471862793, propagate_backward_time: 444.1661376953, weight_update_time: 0.7262286544, other_time: 10.1519470215
epoch time: 57.8657264709s, input_fired_time: 1.2442215681, output_fired_time: 0.0000000000, propagate_forward_time: 54.7837066650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8377990723
validation[          , genome 15285] predictions:    9867/  10000 (98.67%), best:    9898/10000 (98.98%), error:       438.55811, best error:       353.42627 on epoch:    44, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 757.9525146484s, input_fired_time: 10.3148794174, output_fired_time: 9.3351821899, propagate_forward_time: 283.1023864746, propagate_backward_time: 445.1040649414, weight_update_time: 0.6965379119, other_time: 10.0959777832
epoch time: 58.6317443848s, input_fired_time: 1.3364011049, output_fired_time: 0.0000000000, propagate_forward_time: 55.4121398926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8832015991
validation[          , genome 15285] predictions:    9893/  10000 (98.93%), best:    9893/10000 (98.93%), error:       343.51779, best error:       343.51779 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 750.0086059570s, input_fired_time: 10.3299980164, output_fired_time: 9.0397129059, propagate_forward_time: 282.2022399902, propagate_backward_time: 438.3824462891, weight_update_time: 0.7893583179, other_time: 10.0541687012
epoch time: 59.3203353882s, input_fired_time: 1.2664966583, output_fired_time: 0.0000000000, propagate_forward_time: 56.2510795593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8027610779
validation[          , genome 15285] predictions:    9880/  10000 (98.80%), best:    9893/10000 (98.93%), error:       374.10864, best error:       343.51779 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 762.7103881836s, input_fired_time: 10.1677274704, output_fired_time: 9.1663484573, propagate_forward_time: 281.2777404785, propagate_backward_time: 451.9968261719, weight_update_time: 0.6947751641, other_time: 10.1017761230
epoch time: 59.3888969421s, input_fired_time: 1.2016286850, output_fired_time: 0.0000000000, propagate_forward_time: 56.4518127441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7354545593
validation[          , genome 15285] predictions:    9902/  10000 (99.02%), best:    9893/10000 (98.93%), error:       346.38547, best error:       343.51779 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 752.8508911133s, input_fired_time: 10.4854135513, output_fired_time: 9.0202884674, propagate_forward_time: 277.1898193359, propagate_backward_time: 445.9922790527, weight_update_time: 0.6886622310, other_time: 10.1631164551
epoch time: 59.3677749634s, input_fired_time: 1.3402429819, output_fired_time: 0.0000000000, propagate_forward_time: 56.1367797852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8907508850
validation[          , genome 15285] predictions:    9889/  10000 (98.89%), best:    9893/10000 (98.93%), error:       354.43896, best error:       343.51779 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 760.3391723633s, input_fired_time: 10.3451242447, output_fired_time: 9.1639261246, propagate_forward_time: 281.4991149902, propagate_backward_time: 448.9516601563, weight_update_time: 0.7381887436, other_time: 10.3793029785
epoch time: 59.5013656616s, input_fired_time: 1.2927231789, output_fired_time: 0.0000000000, propagate_forward_time: 56.3660011292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8426399231
validation[          , genome 15285] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       327.18097, best error:       327.18097 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 766.7467041016s, input_fired_time: 10.4387340546, output_fired_time: 9.5453510284, propagate_forward_time: 279.6748962402, propagate_backward_time: 456.5273742676, weight_update_time: 0.6851711869, other_time: 10.5603637695
epoch time: 58.8839035034s, input_fired_time: 1.2756297588, output_fired_time: 0.0000000000, propagate_forward_time: 55.6600532532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9482192993
validation[          , genome 15285] predictions:    9880/  10000 (98.80%), best:    9904/10000 (99.04%), error:       406.41653, best error:       327.18097 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 764.4635009766s, input_fired_time: 10.0872516632, output_fired_time: 9.0806226730, propagate_forward_time: 280.4841918945, propagate_backward_time: 454.5553894043, weight_update_time: 0.6891861558, other_time: 10.2560119629
epoch time: 61.4471282959s, input_fired_time: 1.2862541676, output_fired_time: 0.0000000000, propagate_forward_time: 58.1359062195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0249671936
validation[          , genome 15285] predictions:    9885/  10000 (98.85%), best:    9904/10000 (99.04%), error:       363.47720, best error:       327.18097 on epoch:    59, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 802.7827758789s, input_fired_time: 10.6411190033, output_fired_time: 9.4079847336, propagate_forward_time: 296.0549926758, propagate_backward_time: 476.1728515625, weight_update_time: 0.7863585949, other_time: 10.5058593750
epoch time: 61.0800628662s, input_fired_time: 1.2359601259, output_fired_time: 0.0000000000, propagate_forward_time: 58.0452651978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7988357544
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9904/10000 (99.04%), error:       339.36478, best error:       327.18097 on epoch:    59, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 776.5222167969s, input_fired_time: 10.2957839966, output_fired_time: 9.5472440720, propagate_forward_time: 288.3694152832, propagate_backward_time: 457.7344360352, weight_update_time: 0.7008616328, other_time: 10.5753479004
epoch time: 60.6054153442s, input_fired_time: 1.2900041342, output_fired_time: 0.0000000000, propagate_forward_time: 57.5168685913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7985420227
validation[          , genome 15285] predictions:    9885/  10000 (98.85%), best:    9904/10000 (99.04%), error:       344.25302, best error:       327.18097 on epoch:    59, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 801.3545532227s, input_fired_time: 10.8436899185, output_fired_time: 9.6884174347, propagate_forward_time: 295.3769226074, propagate_backward_time: 475.1343994141, weight_update_time: 0.7067927122, other_time: 10.3111267090
epoch time: 61.1047477722s, input_fired_time: 1.4709899426, output_fired_time: 0.0000000000, propagate_forward_time: 57.7011833191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9325752258
validation[          , genome 15285] predictions:    9893/  10000 (98.93%), best:    9904/10000 (99.04%), error:       368.89380, best error:       327.18097 on epoch:    59, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1057.4310302734s, input_fired_time: 13.6086492538, output_fired_time: 15.1026887894, propagate_forward_time: 391.5655822754, propagate_backward_time: 625.0659790039, weight_update_time: 0.8279827833, other_time: 12.0881958008
epoch time: 86.9446105957s, input_fired_time: 1.5486199856, output_fired_time: 0.0000000000, propagate_forward_time: 82.9782028198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4177856445
validation[          , genome 15285] predictions:    9899/  10000 (98.99%), best:    9904/10000 (99.04%), error:       328.17484, best error:       327.18097 on epoch:    59, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1052.0635986328s, input_fired_time: 14.0273561478, output_fired_time: 13.4937238693, propagate_forward_time: 437.3019714355, propagate_backward_time: 574.2995605469, weight_update_time: 0.7541009784, other_time: 12.9409179688
epoch time: 84.1354522705s, input_fired_time: 2.0587742329, output_fired_time: 0.0000000000, propagate_forward_time: 78.9845886230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0920867920
validation[          , genome 15285] predictions:    9890/  10000 (98.90%), best:    9904/10000 (99.04%), error:       359.14734, best error:       327.18097 on epoch:    59, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1068.4876708984s, input_fired_time: 12.5186672211, output_fired_time: 12.9460248947, propagate_forward_time: 385.9809570313, propagate_backward_time: 644.1323852539, weight_update_time: 0.7843198180, other_time: 12.9096069336
epoch time: 86.1558151245s, input_fired_time: 1.9939720631, output_fired_time: 0.0000000000, propagate_forward_time: 81.7397994995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4220428467
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9904/10000 (99.04%), error:       360.63660, best error:       327.18097 on epoch:    59, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1076.9737548828s, input_fired_time: 12.9329948425, output_fired_time: 15.0444488525, propagate_forward_time: 402.9821472168, propagate_backward_time: 631.7846679688, weight_update_time: 0.7965561748, other_time: 14.2294921875
epoch time: 84.3327178955s, input_fired_time: 1.8235510588, output_fired_time: 0.0000000000, propagate_forward_time: 80.3957061768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1134643555
validation[          , genome 15285] predictions:    9907/  10000 (99.07%), best:    9904/10000 (99.04%), error:       332.11383, best error:       327.18097 on epoch:    59, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1075.9344482422s, input_fired_time: 14.0626220703, output_fired_time: 12.5942268372, propagate_forward_time: 400.9041442871, propagate_backward_time: 632.7061157227, weight_update_time: 0.9879515171, other_time: 15.6672973633
epoch time: 86.6001586914s, input_fired_time: 1.4131385088, output_fired_time: 0.0000000000, propagate_forward_time: 82.3718643188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8151550293
validation[          , genome 15285] predictions:    9894/  10000 (98.94%), best:    9904/10000 (99.04%), error:       333.70642, best error:       327.18097 on epoch:    59, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1093.5435791016s, input_fired_time: 14.1257610321, output_fired_time: 12.2170858383, propagate_forward_time: 401.3618469238, propagate_backward_time: 651.9228515625, weight_update_time: 1.0056433678, other_time: 13.9161376953
epoch time: 84.1352996826s, input_fired_time: 1.4011354446, output_fired_time: 0.0000000000, propagate_forward_time: 79.9537277222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7804336548
validation[          , genome 15285] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       308.31360, best error:       308.31360 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1091.0250244141s, input_fired_time: 14.1383571625, output_fired_time: 13.8906688690, propagate_forward_time: 416.7128601074, propagate_backward_time: 632.1319580078, weight_update_time: 0.9850345254, other_time: 14.1512451172
epoch time: 84.0279083252s, input_fired_time: 1.6273581982, output_fired_time: 0.0000000000, propagate_forward_time: 79.6230697632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7774810791
validation[          , genome 15285] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       319.19827, best error:       308.31360 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1051.4429931641s, input_fired_time: 14.0901832581, output_fired_time: 12.0771102905, propagate_forward_time: 398.3619384766, propagate_backward_time: 614.2652587891, weight_update_time: 0.7560216188, other_time: 12.6484375000
epoch time: 83.3316421509s, input_fired_time: 1.3994885683, output_fired_time: 0.0000000000, propagate_forward_time: 79.5114288330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4207229614
validation[          , genome 15285] predictions:    9903/  10000 (99.03%), best:    9906/10000 (99.06%), error:       324.55179, best error:       308.31360 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1048.8061523438s, input_fired_time: 12.5577049255, output_fired_time: 12.7233343124, propagate_forward_time: 380.4996337891, propagate_backward_time: 629.4053344727, weight_update_time: 0.7870097160, other_time: 13.6201171875
epoch time: 83.5985641479s, input_fired_time: 2.0324316025, output_fired_time: 0.0000000000, propagate_forward_time: 79.4110107422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1551208496
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       332.38995, best error:       308.31360 on epoch:    70, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1057.5551757813s, input_fired_time: 13.3195581436, output_fired_time: 12.2793712616, propagate_forward_time: 399.5455932617, propagate_backward_time: 618.9382934570, weight_update_time: 1.3634673357, other_time: 13.4722900391
epoch time: 87.9964294434s, input_fired_time: 1.7002975941, output_fired_time: 0.0000000000, propagate_forward_time: 84.2752838135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0208511353
validation[          , genome 15285] predictions:    9897/  10000 (98.97%), best:    9906/10000 (99.06%), error:       352.00943, best error:       308.31360 on epoch:    70, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1039.9681396484s, input_fired_time: 13.2709388733, output_fired_time: 13.4778928757, propagate_forward_time: 378.6347656250, propagate_backward_time: 622.7107543945, weight_update_time: 0.7533438206, other_time: 11.8737182617
epoch time: 81.2226867676s, input_fired_time: 1.7503882647, output_fired_time: 0.0000000000, propagate_forward_time: 77.2279129028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2443847656
validation[          , genome 15285] predictions:    9905/  10000 (99.05%), best:    9906/10000 (99.06%), error:       338.59610, best error:       308.31360 on epoch:    70, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1046.4180908203s, input_fired_time: 13.8582239151, output_fired_time: 12.5315742493, propagate_forward_time: 398.0095825195, propagate_backward_time: 609.2354125977, weight_update_time: 0.7536146045, other_time: 12.7832641602
epoch time: 85.0431900024s, input_fired_time: 1.6006963253, output_fired_time: 0.0000000000, propagate_forward_time: 81.0947189331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3477783203
validation[          , genome 15285] predictions:    9897/  10000 (98.97%), best:    9906/10000 (99.06%), error:       367.61334, best error:       308.31360 on epoch:    70, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1056.1234130859s, input_fired_time: 15.1159019470, output_fired_time: 12.9796142578, propagate_forward_time: 407.2774047852, propagate_backward_time: 607.4119262695, weight_update_time: 0.7540054321, other_time: 13.3386230469
epoch time: 84.6859741211s, input_fired_time: 1.5987828970, output_fired_time: 0.0000000000, propagate_forward_time: 80.7826690674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3045196533
validation[          , genome 15285] predictions:    9899/  10000 (98.99%), best:    9906/10000 (99.06%), error:       326.43539, best error:       308.31360 on epoch:    70, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1070.8769531250s, input_fired_time: 12.3729677200, output_fired_time: 14.0412092209, propagate_forward_time: 404.4696960449, propagate_backward_time: 625.9167480469, weight_update_time: 1.0169849396, other_time: 14.0762939453
epoch time: 83.2702178955s, input_fired_time: 1.8430596590, output_fired_time: 0.0000000000, propagate_forward_time: 79.6165542603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8106002808
validation[          , genome 15285] predictions:    9903/  10000 (99.03%), best:    9906/10000 (99.06%), error:       339.98627, best error:       308.31360 on epoch:    70, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1050.8096923828s, input_fired_time: 13.5783290863, output_fired_time: 12.2616443634, propagate_forward_time: 386.9189453125, propagate_backward_time: 626.8184814453, weight_update_time: 0.7560021877, other_time: 11.2322998047
epoch time: 83.4679107666s, input_fired_time: 1.9672919512, output_fired_time: 0.0000000000, propagate_forward_time: 79.4684600830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0321578979
validation[          , genome 15285] predictions:    9905/  10000 (99.05%), best:    9906/10000 (99.06%), error:       317.09201, best error:       308.31360 on epoch:    70, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1064.8022460938s, input_fired_time: 13.5417079926, output_fired_time: 10.6801471710, propagate_forward_time: 407.7274169922, propagate_backward_time: 619.0456542969, weight_update_time: 1.1597130299, other_time: 13.8072509766
epoch time: 83.8014297485s, input_fired_time: 1.8533322811, output_fired_time: 0.0000000000, propagate_forward_time: 79.3861465454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5619506836
validation[          , genome 15285] predictions:    9893/  10000 (98.93%), best:    9906/10000 (99.06%), error:       336.52927, best error:       308.31360 on epoch:    70, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1081.4912109375s, input_fired_time: 13.9341688156, output_fired_time: 15.0765571594, propagate_forward_time: 402.7862854004, propagate_backward_time: 637.0546264648, weight_update_time: 1.0038666725, other_time: 12.6395874023
epoch time: 85.7255096436s, input_fired_time: 1.8986278772, output_fired_time: 0.0000000000, propagate_forward_time: 81.6877670288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1391143799
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       327.22186, best error:       308.31360 on epoch:    70, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1111.3826904297s, input_fired_time: 14.8339042664, output_fired_time: 12.9435606003, propagate_forward_time: 416.2628479004, propagate_backward_time: 653.2278442383, weight_update_time: 0.8029678464, other_time: 14.1145629883
epoch time: 87.4104461670s, input_fired_time: 1.8959053755, output_fired_time: 0.0000000000, propagate_forward_time: 83.2614898682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2530517578
validation[          , genome 15285] predictions:    9896/  10000 (98.96%), best:    9906/10000 (99.06%), error:       343.35172, best error:       308.31360 on epoch:    70, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1087.6300048828s, input_fired_time: 13.4760265350, output_fired_time: 13.4751091003, propagate_forward_time: 394.8461914063, propagate_backward_time: 650.0296020508, weight_update_time: 1.8467056751, other_time: 15.8030395508
epoch time: 87.0580215454s, input_fired_time: 2.4577054977, output_fired_time: 0.0000000000, propagate_forward_time: 82.1412048340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4591140747
validation[          , genome 15285] predictions:    9892/  10000 (98.92%), best:    9906/10000 (99.06%), error:       375.73535, best error:       308.31360 on epoch:    70, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1144.1320800781s, input_fired_time: 14.1004533768, output_fired_time: 15.4463644028, propagate_forward_time: 422.9188537598, propagate_backward_time: 677.0833129883, weight_update_time: 1.0001223087, other_time: 14.5830688477
epoch time: 86.5616912842s, input_fired_time: 1.4432194233, output_fired_time: 0.0000000000, propagate_forward_time: 82.7556076050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3628616333
validation[          , genome 15285] predictions:    9901/  10000 (99.01%), best:    9906/10000 (99.06%), error:       326.75403, best error:       308.31360 on epoch:    70, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1099.0163574219s, input_fired_time: 15.3794336319, output_fired_time: 11.8936948776, propagate_forward_time: 411.1260375977, propagate_backward_time: 647.7363891602, weight_update_time: 1.1971600056, other_time: 12.8808593750
epoch time: 84.1328964233s, input_fired_time: 1.5472737551, output_fired_time: 0.0000000000, propagate_forward_time: 80.2599868774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3256378174
validation[          , genome 15285] predictions:    9898/  10000 (98.98%), best:    9906/10000 (99.06%), error:       338.15170, best error:       308.31360 on epoch:    70, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1346.6815185547s, input_fired_time: 17.5890483856, output_fired_time: 16.3253612518, propagate_forward_time: 507.1359252930, propagate_backward_time: 789.0404052734, weight_update_time: 1.9568262100, other_time: 16.5908813477
epoch time: 154.7195587158s, input_fired_time: 3.1485402584, output_fired_time: 0.0000000000, propagate_forward_time: 147.8911437988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6798706055
validation[          , genome 15285] predictions:    9908/  10000 (99.08%), best:    9906/10000 (99.06%), error:       317.13974, best error:       308.31360 on epoch:    70, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1941.4414062500s, input_fired_time: 26.0955715179, output_fired_time: 21.8144016266, propagate_forward_time: 737.7565307617, propagate_backward_time: 1127.6207275391, weight_update_time: 1.9102520943, other_time: 28.1541748047
epoch time: 125.9764633179s, input_fired_time: 2.6398913860, output_fired_time: 0.0000000000, propagate_forward_time: 120.2199249268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1166458130
validation[          , genome 15285] predictions:    9902/  10000 (99.02%), best:    9906/10000 (99.06%), error:       317.50311, best error:       308.31360 on epoch:    70, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 2096.5805664063s, input_fired_time: 26.4550838470, output_fired_time: 27.6960830688, propagate_forward_time: 780.9000244141, propagate_backward_time: 1236.0684814453, weight_update_time: 1.3098720312, other_time: 25.4609375000
epoch time: 187.2884063721s, input_fired_time: 3.5282621384, output_fired_time: 0.0000000000, propagate_forward_time: 179.4939117432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2662353516
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       329.16064, best error:       308.31360 on epoch:    70, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1522.0035400391s, input_fired_time: 20.9811363220, output_fired_time: 20.8498172760, propagate_forward_time: 567.4968261719, propagate_backward_time: 891.6293945313, weight_update_time: 0.9280351996, other_time: 21.0463867188
epoch time: 102.1864013672s, input_fired_time: 1.9360871315, output_fired_time: 0.0000000000, propagate_forward_time: 97.6413497925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6089630127
validation[          , genome 15285] predictions:    9903/  10000 (99.03%), best:    9906/10000 (99.06%), error:       321.61731, best error:       308.31360 on epoch:    70, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1302.6549072266s, input_fired_time: 18.3973922729, output_fired_time: 15.4281158447, propagate_forward_time: 491.6762695313, propagate_backward_time: 759.4735717773, weight_update_time: 1.3025387526, other_time: 17.6796264648
epoch time: 99.9578933716s, input_fired_time: 2.0573117733, output_fired_time: 0.0000000000, propagate_forward_time: 94.9040298462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9965515137
validation[          , genome 15285] predictions:    9908/  10000 (99.08%), best:    9906/10000 (99.06%), error:       330.06821, best error:       308.31360 on epoch:    70, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1274.4578857422s, input_fired_time: 18.4032859802, output_fired_time: 15.5953998566, propagate_forward_time: 481.7206726074, propagate_backward_time: 740.3742065430, weight_update_time: 1.4983017445, other_time: 18.3641967773
epoch time: 154.4486694336s, input_fired_time: 3.5672678947, output_fired_time: 0.0000000000, propagate_forward_time: 145.2344055176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6470031738
validation[          , genome 15285] predictions:    9902/  10000 (99.02%), best:    9906/10000 (99.06%), error:       330.45255, best error:       308.31360 on epoch:    70, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1876.9708251953s, input_fired_time: 22.9776020050, output_fired_time: 23.5809841156, propagate_forward_time: 716.5073242188, propagate_backward_time: 1089.9539794922, weight_update_time: 1.8805227280, other_time: 23.9509277344
epoch time: 137.8936462402s, input_fired_time: 2.5662322044, output_fired_time: 0.0000000000, propagate_forward_time: 131.8908233643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4365844727
validation[          , genome 15285] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       356.26282, best error:       308.31360 on epoch:    70, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1834.5220947266s, input_fired_time: 24.3387165070, output_fired_time: 21.5556716919, propagate_forward_time: 686.3377075195, propagate_backward_time: 1077.1602783203, weight_update_time: 2.4942002296, other_time: 25.1297607422
epoch time: 144.2286529541s, input_fired_time: 2.0126273632, output_fired_time: 0.0000000000, propagate_forward_time: 136.2854461670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9305725098
validation[          , genome 15285] predictions:    9902/  10000 (99.02%), best:    9906/10000 (99.06%), error:       326.93314, best error:       308.31360 on epoch:    70, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1587.2125244141s, input_fired_time: 20.1269359589, output_fired_time: 19.3521423340, propagate_forward_time: 590.4123535156, propagate_backward_time: 938.6046142578, weight_update_time: 1.1154129505, other_time: 18.7164306641
epoch time: 172.6445465088s, input_fired_time: 4.0993852615, output_fired_time: 0.0000000000, propagate_forward_time: 163.9419555664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6032104492
validation[          , genome 15285] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       312.76111, best error:       308.31360 on epoch:    70, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 2424.9504394531s, input_fired_time: 30.5930423737, output_fired_time: 29.1277027130, propagate_forward_time: 910.4559936523, propagate_backward_time: 1424.0975341797, weight_update_time: 1.6321898699, other_time: 30.6761474609
epoch time: 255.1735687256s, input_fired_time: 5.2135024071, output_fired_time: 0.0000000000, propagate_forward_time: 242.2098999023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7501678467
validation[          , genome 15285] predictions:    9907/  10000 (99.07%), best:    9906/10000 (99.06%), error:       315.57898, best error:       308.31360 on epoch:    70, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 2160.1838378906s, input_fired_time: 24.7449226379, output_fired_time: 26.5018024445, propagate_forward_time: 813.8605346680, propagate_backward_time: 1267.4412841797, weight_update_time: 1.8383105993, other_time: 27.6353759766
epoch time: 159.8823852539s, input_fired_time: 3.5436251163, output_fired_time: 0.0000000000, propagate_forward_time: 151.6666107178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6721496582
validation[          , genome 15285] predictions:    9901/  10000 (99.01%), best:    9906/10000 (99.06%), error:       310.77676, best error:       308.31360 on epoch:    70, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 2162.4577636719s, input_fired_time: 30.8255844116, output_fired_time: 24.5806770325, propagate_forward_time: 812.5795898438, propagate_backward_time: 1269.3243408203, weight_update_time: 1.8636252880, other_time: 25.1475830078
epoch time: 202.5243835449s, input_fired_time: 2.3693997860, output_fired_time: 0.0000000000, propagate_forward_time: 194.4797515869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6752319336
validation[          , genome 15285] predictions:    9902/  10000 (99.02%), best:    9906/10000 (99.06%), error:       332.81033, best error:       308.31360 on epoch:    70, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 3549.6638183594s, input_fired_time: 43.9527091980, output_fired_time: 46.2690620422, propagate_forward_time: 1333.0754394531, propagate_backward_time: 2084.0852050781, weight_update_time: 3.1315438747, other_time: 42.2814941406
epoch time: 158.4760742188s, input_fired_time: 4.7440395355, output_fired_time: 0.0000000000, propagate_forward_time: 149.4608459473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2711944580
validation[          , genome 15285] predictions:    9909/  10000 (99.09%), best:    9909/10000 (99.09%), error:       307.84967, best error:       307.84967 on epoch:    98, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1728.5460205078s, input_fired_time: 23.3076953888, output_fired_time: 22.3130512238, propagate_forward_time: 642.0692138672, propagate_backward_time: 1016.9319458008, weight_update_time: 2.2069540024, other_time: 23.9240112305
epoch time: 132.8230590820s, input_fired_time: 3.8140416145, output_fired_time: 0.0000000000, propagate_forward_time: 124.5201492310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4888687134
validation[          , genome 15285] predictions:    9909/  10000 (99.09%), best:    9909/10000 (99.09%), error:       318.38699, best error:       307.84967 on epoch:    98, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1961.8876953125s, input_fired_time: 28.7699108124, output_fired_time: 25.0541305542, propagate_forward_time: 727.8095703125, propagate_backward_time: 1155.9221191406, weight_update_time: 2.1915047169, other_time: 24.3320312500
epoch time: 154.8921966553s, input_fired_time: 3.7661585808, output_fired_time: 0.0000000000, propagate_forward_time: 146.8943328857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2317047119
validation[          , genome 15285] predictions:    9904/  10000 (99.04%), best:    9909/10000 (99.09%), error:       316.87643, best error:       307.84967 on epoch:    98, 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: 661.4984130859s, input_fired_time: 14.2222614288, output_fired_time: 0.0000000000, propagate_forward_time: 627.0593261719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.2167968750
best training[          , genome 15285] predictions:   50000/  50000 (100.00%), best:    9909/10000 (99.09%), error:       121.31451, best error:       307.84967 on epoch:    98, 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: 114.9009628296s, input_fired_time: 2.0705497265, output_fired_time: 0.0000000000, propagate_forward_time: 109.1744155884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6559982300
   testing[          , genome 15285] predictions:    9905/  10000 (99.05%), best:    9909/10000 (99.09%), error:       309.92068, best error:       307.84967 on epoch:    98, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
09:23:57 (8128): called boinc_finish(0)

</stderr_txt>
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