Nameexact_genome_1512568488_45_4490_1
Workunit2593697
Created7 Dec 2017, 10:12:01 UTC
Sent7 Dec 2017, 10:13:37 UTC
Report deadline11 Dec 2017, 22:53:57 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 2 min 52 sec
CPU time1 hours 46 min 25 sec
Validate stateValid
Credit1,132.00
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.80 MB
Peak swap size156.84 MB
Peak disk usage1.61 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
0.0000000000, other_time: 0.3591070175
validation[          , genome  4490] predictions:    9622/  10000 (96.22%), best:    9631/10000 (96.31%), error:      1291.00000, best error:      1212.07788 on epoch:    19, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 84.8611907959s, input_fired_time: 0.6437392235, output_fired_time: 0.5480881929, propagate_forward_time: 31.5160560608, propagate_backward_time: 49.5674934387, weight_update_time: 0.1018300578, other_time: 2.5858154297
epoch time: 6.3631577492s, input_fired_time: 0.0751550794, output_fired_time: 0.0000000000, propagate_forward_time: 5.9310116768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3569908142
validation[          , genome  4490] predictions:    9652/  10000 (96.52%), best:    9652/10000 (96.52%), error:      1180.50232, best error:      1180.50232 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 86.5309982300s, input_fired_time: 0.6498076916, output_fired_time: 0.8061121106, propagate_forward_time: 33.9554862976, propagate_backward_time: 48.0102996826, weight_update_time: 0.3533134758, other_time: 3.1092872620
epoch time: 6.1314058304s, input_fired_time: 0.0729939863, output_fired_time: 0.0000000000, propagate_forward_time: 5.7114629745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3469491005
validation[          , genome  4490] predictions:    9515/  10000 (95.15%), best:    9652/10000 (96.52%), error:      1576.59375, best error:      1180.50232 on epoch:    21, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 85.0376739502s, input_fired_time: 0.8942744136, output_fired_time: 0.5499329567, propagate_forward_time: 30.3506221771, propagate_backward_time: 50.4040794373, weight_update_time: 0.1021761522, other_time: 2.8387641907
epoch time: 5.7651658058s, input_fired_time: 0.0697882175, output_fired_time: 0.0000000000, propagate_forward_time: 5.3695220947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3258552551
validation[          , genome  4490] predictions:    9554/  10000 (95.54%), best:    9652/10000 (96.52%), error:      1486.47876, best error:      1180.50232 on epoch:    21, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 83.9915924072s, input_fired_time: 0.8938906789, output_fired_time: 0.7937858701, propagate_forward_time: 28.7723674774, propagate_backward_time: 50.6916313171, weight_update_time: 0.1012883335, other_time: 2.8399162292
epoch time: 6.2732200623s, input_fired_time: 0.0756512582, output_fired_time: 0.0000000000, propagate_forward_time: 5.8386964798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3588724136
validation[          , genome  4490] predictions:    9636/  10000 (96.36%), best:    9652/10000 (96.52%), error:      1234.53796, best error:      1180.50232 on epoch:    21, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 88.2092361450s, input_fired_time: 0.6613519192, output_fired_time: 0.5688779950, propagate_forward_time: 31.5657424927, propagate_backward_time: 52.2612533569, weight_update_time: 0.3553573489, other_time: 3.1520080566
epoch time: 7.4412169456s, input_fired_time: 0.3313453197, output_fired_time: 0.0000000000, propagate_forward_time: 6.4722046852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6376671791
validation[          , genome  4490] predictions:    9610/  10000 (96.10%), best:    9652/10000 (96.52%), error:      1365.48242, best error:      1180.50232 on epoch:    21, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 89.8551712036s, input_fired_time: 0.6658378243, output_fired_time: 0.8261119127, propagate_forward_time: 33.2528381348, propagate_backward_time: 52.1912612915, weight_update_time: 0.1067555696, other_time: 2.9191207886
epoch time: 7.0167059898s, input_fired_time: 0.3302070796, output_fired_time: 0.0000000000, propagate_forward_time: 6.3041300774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3823690414
validation[          , genome  4490] predictions:    9630/  10000 (96.30%), best:    9652/10000 (96.52%), error:      1254.18579, best error:      1180.50232 on epoch:    21, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 87.4436187744s, input_fired_time: 0.9074918032, output_fired_time: 0.5637367368, propagate_forward_time: 33.3844566345, propagate_backward_time: 49.7067070007, weight_update_time: 0.1044054106, other_time: 2.8812255859
epoch time: 8.4126119614s, input_fired_time: 0.0895370096, output_fired_time: 0.0000000000, propagate_forward_time: 7.8989424706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4241328239
validation[          , genome  4490] predictions:    9658/  10000 (96.58%), best:    9658/10000 (96.58%), error:      1139.19873, best error:      1139.19873 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 96.1519317627s, input_fired_time: 1.1945008039, output_fired_time: 1.3633606434, propagate_forward_time: 34.4868049622, propagate_backward_time: 56.0716362000, weight_update_time: 0.1130977646, other_time: 3.0356292725
epoch time: 6.2511739731s, input_fired_time: 0.0745422319, output_fired_time: 0.0000000000, propagate_forward_time: 5.8250460625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3515858650
validation[          , genome  4490] predictions:    9628/  10000 (96.28%), best:    9658/10000 (96.58%), error:      1242.03198, best error:      1139.19873 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 98.2009735107s, input_fired_time: 0.9532364607, output_fired_time: 1.1236312389, propagate_forward_time: 35.1106109619, propagate_backward_time: 56.9428901672, weight_update_time: 0.3652276695, other_time: 4.0705986023
epoch time: 6.9056744576s, input_fired_time: 0.0787945166, output_fired_time: 0.0000000000, propagate_forward_time: 6.2060766220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6208033562
validation[          , genome  4490] predictions:    9639/  10000 (96.39%), best:    9658/10000 (96.58%), error:      1179.14063, best error:      1139.19873 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 92.8743057251s, input_fired_time: 0.9322884679, output_fired_time: 0.5955226421, propagate_forward_time: 36.2290267944, propagate_backward_time: 52.1465988159, weight_update_time: 0.3597151339, other_time: 2.9708709717
epoch time: 7.3296241760s, input_fired_time: 0.0834911838, output_fired_time: 0.0000000000, propagate_forward_time: 6.8514041901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3947286606
validation[          , genome  4490] predictions:    9688/  10000 (96.88%), best:    9688/10000 (96.88%), error:      1028.09082, best error:      1028.09082 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 92.7119903564s, input_fired_time: 1.1800915003, output_fired_time: 1.0911958218, propagate_forward_time: 36.1483993530, propagate_backward_time: 51.0749549866, weight_update_time: 0.1096689105, other_time: 3.2173500061
epoch time: 7.6947922707s, input_fired_time: 0.5846518278, output_fired_time: 0.0000000000, propagate_forward_time: 6.7081408501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4019994736
validation[          , genome  4490] predictions:    9660/  10000 (96.60%), best:    9688/10000 (96.88%), error:      1117.57849, best error:      1028.09082 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 90.3975753784s, input_fired_time: 0.6711797118, output_fired_time: 0.5806413293, propagate_forward_time: 32.5002937317, propagate_backward_time: 53.4626922607, weight_update_time: 0.1075244844, other_time: 3.1827659607
epoch time: 6.1268200874s, input_fired_time: 0.0744137093, output_fired_time: 0.0000000000, propagate_forward_time: 5.7074856758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3449206352
validation[          , genome  4490] predictions:    9620/  10000 (96.20%), best:    9688/10000 (96.88%), error:      1175.59106, best error:      1028.09082 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 91.5449142456s, input_fired_time: 1.1781018972, output_fired_time: 0.8382298946, propagate_forward_time: 33.3718376160, propagate_backward_time: 52.9498672485, weight_update_time: 0.1091286764, other_time: 3.2068824768
epoch time: 6.9075207710s, input_fired_time: 0.0793986768, output_fired_time: 0.0000000000, propagate_forward_time: 6.2064003944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6217217445
validation[          , genome  4490] predictions:    9637/  10000 (96.37%), best:    9688/10000 (96.88%), error:      1152.52991, best error:      1028.09082 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

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_4490.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_4490_1_r1753451197_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: 0.904336
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00218531
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.74123e-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: 34
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9688
read best_validation_error: 1028.09
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: 4490
read normal distribution: '0 -1.38023889064789 -0.269367456436157'
generator_str: '1868183143'
read generator: 1868183143
read generated_by_map:
1 split_edge 1
reading 18 nodes.
reading 32 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: 53.4107704162598s, input_fired_time: 0.588233113288879, output_fired_time: 0.472114682197571, propagate_forward_time: 19.4400806427002, propagate_backward_time: 31.1052093505859, weight_update_time: 0.0876717641949654, other_time: 1.80513000488281
epoch time: 3.53843116760254s, input_fired_time: 0.0622517913579941, output_fired_time: 0, propagate_forward_time: 3.19193840026855, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.284240961074829
validation[          , genome  4490] predictions:    9602/  10000 (96.02%), best:    9688/10000 (96.88%), error:      1286.44568, best error:      1028.09082 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 52.8010063171s, input_fired_time: 0.5858783126, output_fired_time: 0.4660930634, propagate_forward_time: 19.1625633240, propagate_backward_time: 30.8047809601, weight_update_time: 0.0868766606, other_time: 1.7816944122
epoch time: 4.3721981049s, input_fired_time: 0.0707839131, output_fired_time: 0.0000000000, propagate_forward_time: 3.9778769016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3235371113
validation[          , genome  4490] predictions:    9617/  10000 (96.17%), best:    9688/10000 (96.88%), error:      1234.98950, best error:      1028.09082 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 53.6466255188s, input_fired_time: 0.5890235305, output_fired_time: 0.4709612727, propagate_forward_time: 19.4967803955, propagate_backward_time: 31.2851047516, weight_update_time: 0.0880747363, other_time: 1.8047542572
epoch time: 3.9492056370s, input_fired_time: 0.0660534576, output_fired_time: 0.0000000000, propagate_forward_time: 3.5786457062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3045065403
validation[          , genome  4490] predictions:    9666/  10000 (96.66%), best:    9688/10000 (96.88%), error:      1080.70679, best error:      1028.09082 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 47.7212257385s, input_fired_time: 0.5553212762, output_fired_time: 0.4272825122, propagate_forward_time: 17.1219196320, propagate_backward_time: 27.9438552856, weight_update_time: 0.0801329538, other_time: 1.6728458405
epoch time: 3.5300958157s, input_fired_time: 0.0621278919, output_fired_time: 0.0000000000, propagate_forward_time: 3.1863665581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2816014290
validation[          , genome  4490] predictions:    9677/  10000 (96.77%), best:    9688/10000 (96.88%), error:      1074.61902, best error:      1028.09082 on epoch:    30, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 51.4423789978s, input_fired_time: 0.5787646770, output_fired_time: 0.4559968412, propagate_forward_time: 18.6226024628, propagate_backward_time: 30.0203304291, weight_update_time: 0.0851603746, other_time: 1.7646827698
epoch time: 4.6267495155s, input_fired_time: 0.0741427168, output_fired_time: 0.0000000000, propagate_forward_time: 4.2144718170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3381347656
validation[          , genome  4490] predictions:    9651/  10000 (96.51%), best:    9688/10000 (96.88%), error:      1203.03906, best error:      1028.09082 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 52.6226692200s, input_fired_time: 0.5865313411, output_fired_time: 0.4648025930, propagate_forward_time: 19.0791053772, propagate_backward_time: 30.7113723755, weight_update_time: 0.0864983276, other_time: 1.7808570862
epoch time: 3.5308120251s, input_fired_time: 0.0621606410, output_fired_time: 0.0000000000, propagate_forward_time: 3.1869800091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2816712856
validation[          , genome  4490] predictions:    9696/  10000 (96.96%), best:    9688/10000 (96.88%), error:      1060.76318, best error:      1028.09082 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 46.9282379150s, input_fired_time: 0.5519793630, output_fired_time: 0.4209325910, propagate_forward_time: 16.8377170563, propagate_backward_time: 27.4619197845, weight_update_time: 0.0791370943, other_time: 1.6556892395
epoch time: 3.5299997330s, input_fired_time: 0.0621212237, output_fired_time: 0.0000000000, propagate_forward_time: 3.1857450008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2821335793
validation[          , genome  4490] predictions:    9620/  10000 (96.20%), best:    9688/10000 (96.88%), error:      1265.90186, best error:      1028.09082 on epoch:    30, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 49.7228469849s, input_fired_time: 0.5690346360, output_fired_time: 0.4429081976, propagate_forward_time: 17.9489974976, propagate_backward_time: 29.0417919159, weight_update_time: 0.0827001855, other_time: 1.7201137543
epoch time: 3.5334248543s, input_fired_time: 0.0626854524, output_fired_time: 0.0000000000, propagate_forward_time: 3.1871774197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2835619450
validation[          , genome  4490] predictions:    9668/  10000 (96.68%), best:    9688/10000 (96.88%), error:      1111.09595, best error:      1028.09082 on epoch:    30, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 51.5199966431s, input_fired_time: 0.5797559619, output_fired_time: 0.4574031234, propagate_forward_time: 18.6648197174, propagate_backward_time: 30.0611228943, weight_update_time: 0.0853524134, other_time: 1.7568950653
epoch time: 4.2834482193s, input_fired_time: 0.0706364736, output_fired_time: 0.0000000000, propagate_forward_time: 3.8950197697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3177921772
validation[          , genome  4490] predictions:    9665/  10000 (96.65%), best:    9688/10000 (96.88%), error:      1121.83203, best error:      1028.09082 on epoch:    30, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 50.7009887695s, input_fired_time: 0.5747544169, output_fired_time: 0.4496124685, propagate_forward_time: 18.3029747009, propagate_backward_time: 29.6313285828, weight_update_time: 0.0842254385, other_time: 1.7423210144
epoch time: 4.6356196404s, input_fired_time: 0.0739952847, output_fired_time: 0.0000000000, propagate_forward_time: 4.2253503799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3362741470
validation[          , genome  4490] predictions:    9594/  10000 (95.94%), best:    9688/10000 (96.88%), error:      1372.62390, best error:      1028.09082 on epoch:    30, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 45.9649848938s, input_fired_time: 0.5470862389, output_fired_time: 0.4125140607, propagate_forward_time: 16.4148960114, propagate_backward_time: 26.9521064758, weight_update_time: 0.0781150982, other_time: 1.6383838654
epoch time: 3.7700173855s, input_fired_time: 0.0648240969, output_fired_time: 0.0000000000, propagate_forward_time: 3.4103605747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2948327065
validation[          , genome  4490] predictions:    9641/  10000 (96.41%), best:    9688/10000 (96.88%), error:      1151.46106, best error:      1028.09082 on epoch:    30, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 46.4854698181s, input_fired_time: 0.5533052087, output_fired_time: 0.4177754819, propagate_forward_time: 16.6161041260, propagate_backward_time: 27.2565765381, weight_update_time: 0.0783102214, other_time: 1.6417083740
epoch time: 3.5284035206s, input_fired_time: 0.0621375963, output_fired_time: 0.0000000000, propagate_forward_time: 3.1849319935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2813339233
validation[          , genome  4490] predictions:    9592/  10000 (95.92%), best:    9688/10000 (96.88%), error:      1323.70459, best error:      1028.09082 on epoch:    30, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 47.9249992371s, input_fired_time: 0.5586314201, output_fired_time: 0.4286639690, propagate_forward_time: 17.1912498474, propagate_backward_time: 28.0752944946, weight_update_time: 0.0801324695, other_time: 1.6711578369
epoch time: 3.6340987682s, input_fired_time: 0.0639025271, output_fired_time: 0.0000000000, propagate_forward_time: 3.2843101025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2858860493
validation[          , genome  4490] predictions:    9628/  10000 (96.28%), best:    9688/10000 (96.88%), error:      1196.90149, best error:      1028.09082 on epoch:    30, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 46.1518478394s, input_fired_time: 0.5494743586, output_fired_time: 0.4147664309, propagate_forward_time: 16.4776668549, propagate_backward_time: 27.0812149048, weight_update_time: 0.0779569075, other_time: 1.6287250519
epoch time: 3.5344915390s, input_fired_time: 0.0624693669, output_fired_time: 0.0000000000, propagate_forward_time: 3.1892690659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2827529907
validation[          , genome  4490] predictions:    9639/  10000 (96.39%), best:    9688/10000 (96.88%), error:      1229.42859, best error:      1028.09082 on epoch:    30, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 45.6775131226s, input_fired_time: 0.5461852551, output_fired_time: 0.4112243950, propagate_forward_time: 16.2940464020, propagate_backward_time: 26.8088378906, weight_update_time: 0.0775201842, other_time: 1.6172199249
epoch time: 3.8895311356s, input_fired_time: 0.0664359331, output_fired_time: 0.0000000000, propagate_forward_time: 3.5238440037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2992513180
validation[          , genome  4490] predictions:    9645/  10000 (96.45%), best:    9688/10000 (96.88%), error:      1184.21692, best error:      1028.09082 on epoch:    30, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 45.9272270203s, input_fired_time: 0.5485844612, output_fired_time: 0.4129295051, propagate_forward_time: 16.3835391998, propagate_backward_time: 26.9555587769, weight_update_time: 0.0776880831, other_time: 1.6266155243
epoch time: 3.8449878693s, input_fired_time: 0.0664169714, output_fired_time: 0.0000000000, propagate_forward_time: 3.4807710648, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2977998257
validation[          , genome  4490] predictions:    9679/  10000 (96.79%), best:    9688/10000 (96.88%), error:      1058.78552, best error:      1028.09082 on epoch:    30, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 45.2337570190s, input_fired_time: 0.5448347330, output_fired_time: 0.4081133604, propagate_forward_time: 16.1265373230, propagate_backward_time: 26.5507583618, weight_update_time: 0.0764187947, other_time: 1.6035156250
epoch time: 3.5495219231s, input_fired_time: 0.0628697649, output_fired_time: 0.0000000000, propagate_forward_time: 3.2060735226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2805786133
validation[          , genome  4490] predictions:    9643/  10000 (96.43%), best:    9688/10000 (96.88%), error:      1175.21106, best error:      1028.09082 on epoch:    30, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 47.6751670837s, input_fired_time: 0.5596698523, output_fired_time: 0.4270870388, propagate_forward_time: 17.0979576111, propagate_backward_time: 27.9233055115, weight_update_time: 0.0800832212, other_time: 1.6671485901
epoch time: 3.5287787914s, input_fired_time: 0.0631380901, output_fired_time: 0.0000000000, propagate_forward_time: 3.1844723225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2811684608
validation[          , genome  4490] predictions:    9646/  10000 (96.46%), best:    9688/10000 (96.88%), error:      1166.79419, best error:      1028.09082 on epoch:    30, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 49.0905494690s, input_fired_time: 0.5684457421, output_fired_time: 0.4377819300, propagate_forward_time: 17.6557197571, propagate_backward_time: 28.7356281281, weight_update_time: 0.0817309842, other_time: 1.6929721832
epoch time: 4.1635379791s, input_fired_time: 0.0694260746, output_fired_time: 0.0000000000, propagate_forward_time: 3.7815685272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3125433922
validation[          , genome  4490] predictions:    9677/  10000 (96.77%), best:    9688/10000 (96.88%), error:      1078.93066, best error:      1028.09082 on epoch:    30, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 46.6914253235s, input_fired_time: 0.5536411405, output_fired_time: 0.4189787805, propagate_forward_time: 16.7116470337, propagate_backward_time: 27.3657207489, weight_update_time: 0.0786389112, other_time: 1.6414356232
epoch time: 3.5308763981s, input_fired_time: 0.0633127093, output_fired_time: 0.0000000000, propagate_forward_time: 3.1861631870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2814004421
validation[          , genome  4490] predictions:    9696/  10000 (96.96%), best:    9696/10000 (96.96%), error:      1025.11951, best error:      1025.11951 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 45.6226501465s, input_fired_time: 0.5483885407, output_fired_time: 0.4113769233, propagate_forward_time: 16.2436885834, propagate_backward_time: 26.8013076782, weight_update_time: 0.0772743896, other_time: 1.6178874969
epoch time: 3.5311000347s, input_fired_time: 0.0631682798, output_fired_time: 0.0000000000, propagate_forward_time: 3.1863243580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2816073895
validation[          , genome  4490] predictions:    9691/  10000 (96.91%), best:    9691/10000 (96.91%), error:      1022.73608, best error:      1022.73608 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 47.8657951355s, input_fired_time: 0.5603874922, output_fired_time: 0.4260511994, propagate_forward_time: 17.3161830902, propagate_backward_time: 27.9014320374, weight_update_time: 0.0799711496, other_time: 1.6617412567
epoch time: 7.8791885376s, input_fired_time: 0.0878492147, output_fired_time: 0.0000000000, propagate_forward_time: 7.3900542259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4012851715
validation[          , genome  4490] predictions:    9700/  10000 (97.00%), best:    9691/10000 (96.91%), error:      1042.08264, best error:      1022.73608 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 81.0679244995s, input_fired_time: 0.8873924017, output_fired_time: 0.7783499956, propagate_forward_time: 31.4288234711, propagate_backward_time: 45.4842529297, weight_update_time: 0.0983404592, other_time: 2.4891052246
epoch time: 7.5322966576s, input_fired_time: 0.0841013193, output_fired_time: 0.0000000000, propagate_forward_time: 7.0649199486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3832755089
validation[          , genome  4490] predictions:    9660/  10000 (96.60%), best:    9691/10000 (96.91%), error:      1171.90857, best error:      1022.73608 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 82.4130477905s, input_fired_time: 0.8927197456, output_fired_time: 0.5362061262, propagate_forward_time: 30.6013355255, propagate_backward_time: 47.6214866638, weight_update_time: 0.0998227447, other_time: 2.7612953186
epoch time: 6.8375225067s, input_fired_time: 0.0793022364, output_fired_time: 0.0000000000, propagate_forward_time: 5.8967099190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8615102768
validation[          , genome  4490] predictions:    9704/  10000 (97.04%), best:    9704/10000 (97.04%), error:       996.98859, best error:       996.98859 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 77.1721572876s, input_fired_time: 1.3709357977, output_fired_time: 0.5047906041, propagate_forward_time: 29.2599010468, propagate_backward_time: 44.1172599792, weight_update_time: 0.0943800956, other_time: 1.9192695618
epoch time: 5.1650362015s, input_fired_time: 0.0675772280, output_fired_time: 0.0000000000, propagate_forward_time: 4.7933845520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3040742874
validation[          , genome  4490] predictions:    9642/  10000 (96.42%), best:    9704/10000 (97.04%), error:      1137.60559, best error:       996.98859 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 78.1432037354s, input_fired_time: 1.1252535582, output_fired_time: 1.0093872547, propagate_forward_time: 28.7640552521, propagate_backward_time: 44.3049201965, weight_update_time: 0.0954333022, other_time: 2.9395942688
epoch time: 5.8237442970s, input_fired_time: 0.0714234263, output_fired_time: 0.0000000000, propagate_forward_time: 5.4292964935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3230242729
validation[          , genome  4490] predictions:    9675/  10000 (96.75%), best:    9704/10000 (97.04%), error:      1133.65381, best error:       996.98859 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 92.8875503540s, input_fired_time: 1.1893587112, output_fired_time: 0.5971696377, propagate_forward_time: 33.4703521729, propagate_backward_time: 54.9444198608, weight_update_time: 0.1099682078, other_time: 2.6862487793
epoch time: 9.0469026566s, input_fired_time: 0.0978462696, output_fired_time: 0.0000000000, propagate_forward_time: 8.2536373138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6954193115
validation[          , genome  4490] predictions:    9695/  10000 (96.95%), best:    9695/10000 (96.95%), error:       974.64282, best error:       974.64282 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 97.7768859863s, input_fired_time: 1.2098253965, output_fired_time: 0.6212273836, propagate_forward_time: 35.9795341492, propagate_backward_time: 56.6995162964, weight_update_time: 0.3645431697, other_time: 3.2667808533
epoch time: 7.7472205162s, input_fired_time: 0.0864550620, output_fired_time: 0.0000000000, propagate_forward_time: 7.0156383514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6451272964
validation[          , genome  4490] predictions:    9594/  10000 (95.94%), best:    9695/10000 (96.95%), error:      1382.60889, best error:       974.64282 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 95.9191436768s, input_fired_time: 0.9525879025, output_fired_time: 0.8615707755, propagate_forward_time: 38.1525077820, propagate_backward_time: 53.2173233032, weight_update_time: 0.1129920036, other_time: 2.7351493835
epoch time: 7.4563302994s, input_fired_time: 0.0860510468, output_fired_time: 0.0000000000, propagate_forward_time: 6.9782285690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3920507431
validation[          , genome  4490] predictions:    9541/  10000 (95.41%), best:    9695/10000 (96.95%), error:      1472.04382, best error:       974.64282 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 97.8491668701s, input_fired_time: 0.9608631730, output_fired_time: 0.8710532188, propagate_forward_time: 34.2212219238, propagate_backward_time: 58.7792091370, weight_update_time: 0.1146816537, other_time: 3.0168190002
epoch time: 8.4575643539s, input_fired_time: 0.0918081254, output_fired_time: 0.0000000000, propagate_forward_time: 7.9480705261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4176855087
validation[          , genome  4490] predictions:    9693/  10000 (96.93%), best:    9695/10000 (96.95%), error:      1110.44653, best error:       974.64282 on epoch:    60, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 94.9414978027s, input_fired_time: 1.4498995543, output_fired_time: 0.8565125465, propagate_forward_time: 35.8311309814, propagate_backward_time: 53.5837402344, weight_update_time: 0.1123904362, other_time: 3.2202148438
epoch time: 7.1205697060s, input_fired_time: 0.0834111199, output_fired_time: 0.0000000000, propagate_forward_time: 6.1602535248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8769049644
validation[          , genome  4490] predictions:    9652/  10000 (96.52%), best:    9695/10000 (96.95%), error:      1183.13025, best error:       974.64282 on epoch:    60, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 95.9599838257s, input_fired_time: 0.9554544687, output_fired_time: 0.8624582291, propagate_forward_time: 34.1837348938, propagate_backward_time: 57.2204093933, weight_update_time: 0.1133493856, other_time: 2.7379302979
epoch time: 8.1464614868s, input_fired_time: 0.0906735212, output_fired_time: 0.0000000000, propagate_forward_time: 7.6415572166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4142308235
validation[          , genome  4490] predictions:    9670/  10000 (96.70%), best:    9695/10000 (96.95%), error:      1091.95618, best error:       974.64282 on epoch:    60, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 94.1025390625s, input_fired_time: 1.1966974735, output_fired_time: 0.8530003428, propagate_forward_time: 36.1766242981, propagate_backward_time: 52.4191627502, weight_update_time: 0.3614076078, other_time: 3.4570541382
epoch time: 8.0312118530s, input_fired_time: 0.0901369527, output_fired_time: 0.0000000000, propagate_forward_time: 7.2802381516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6608366966
validation[          , genome  4490] predictions:    9684/  10000 (96.84%), best:    9695/10000 (96.95%), error:      1038.68970, best error:       974.64282 on epoch:    60, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 85.0218734741s, input_fired_time: 0.9317176938, output_fired_time: 0.5802567005, propagate_forward_time: 31.2316017151, propagate_backward_time: 49.6335639954, weight_update_time: 0.1075924933, other_time: 2.6447372437
epoch time: 4.2033119202s, input_fired_time: 0.0710680708, output_fired_time: 0.0000000000, propagate_forward_time: 3.8149242401, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3173193932
validation[          , genome  4490] predictions:    9699/  10000 (96.99%), best:    9695/10000 (96.95%), error:      1010.06946, best error:       974.64282 on epoch:    60, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 59.3915519714s, input_fired_time: 0.6341928840, output_fired_time: 0.5171841383, propagate_forward_time: 21.8253326416, propagate_backward_time: 34.4758338928, weight_update_time: 0.0958285928, other_time: 1.9390068054
epoch time: 4.0738592148s, input_fired_time: 0.0696692616, output_fired_time: 0.0000000000, propagate_forward_time: 3.6954441071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3087458611
validation[          , genome  4490] predictions:    9689/  10000 (96.89%), best:    9695/10000 (96.95%), error:      1054.66382, best error:       974.64282 on epoch:    60, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 59.6970138550s, input_fired_time: 0.6346073151, output_fired_time: 0.5196964145, propagate_forward_time: 21.8998622894, propagate_backward_time: 34.7088584900, weight_update_time: 0.0961793736, other_time: 1.9339942932
epoch time: 5.1924576759s, input_fired_time: 0.0812443420, output_fired_time: 0.0000000000, propagate_forward_time: 4.7487540245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3624591827
validation[          , genome  4490] predictions:    9594/  10000 (95.94%), best:    9695/10000 (96.95%), error:      1296.17627, best error:       974.64282 on epoch:    60, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 57.8376426697s, input_fired_time: 0.6252253652, output_fired_time: 0.5040736794, propagate_forward_time: 21.3006649017, propagate_backward_time: 33.5126152039, weight_update_time: 0.0935752541, other_time: 1.8950614929
epoch time: 4.4721298218s, input_fired_time: 0.0738513768, output_fired_time: 0.0000000000, propagate_forward_time: 4.0704460144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3278322220
validation[          , genome  4490] predictions:    9666/  10000 (96.66%), best:    9695/10000 (96.95%), error:      1130.33191, best error:       974.64282 on epoch:    60, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 56.9712028503s, input_fired_time: 0.6202338934, output_fired_time: 0.4985560775, propagate_forward_time: 20.8532562256, propagate_backward_time: 33.1222724915, weight_update_time: 0.0923735276, other_time: 1.8768844604
epoch time: 4.1442894936s, input_fired_time: 0.0707045794, output_fired_time: 0.0000000000, propagate_forward_time: 3.7612636089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3123214245
validation[          , genome  4490] predictions:    9679/  10000 (96.79%), best:    9695/10000 (96.95%), error:      1066.26050, best error:       974.64282 on epoch:    60, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 57.5059890747s, input_fired_time: 0.6224498749, output_fired_time: 0.5022745728, propagate_forward_time: 21.0708923340, propagate_backward_time: 33.4178886414, weight_update_time: 0.0932619572, other_time: 1.8924827576
epoch time: 4.9745268822s, input_fired_time: 0.0798280761, output_fired_time: 0.0000000000, propagate_forward_time: 4.5420203209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3526782990
validation[          , genome  4490] predictions:    9689/  10000 (96.89%), best:    9695/10000 (96.95%), error:      1041.53320, best error:       974.64282 on epoch:    60, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 52.7162361145s, input_fired_time: 0.5964843035, output_fired_time: 0.4662584960, propagate_forward_time: 19.1326351166, propagate_backward_time: 30.7341442108, weight_update_time: 0.0872099698, other_time: 1.7867145538
epoch time: 5.0677437782s, input_fired_time: 0.0806058198, output_fired_time: 0.0000000000, propagate_forward_time: 4.6302618980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3568758965
validation[          , genome  4490] predictions:    9458/  10000 (94.58%), best:    9695/10000 (96.95%), error:      1938.38318, best error:       974.64282 on epoch:    60, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 58.8006706238s, input_fired_time: 0.6316118240, output_fired_time: 0.5123273730, propagate_forward_time: 21.5823040009, propagate_backward_time: 34.1566734314, weight_update_time: 0.0949628726, other_time: 1.9177513123
epoch time: 3.8004157543s, input_fired_time: 0.0670913234, output_fired_time: 0.0000000000, propagate_forward_time: 3.4365048409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2968196869
validation[          , genome  4490] predictions:    9697/  10000 (96.97%), best:    9695/10000 (96.95%), error:      1001.35175, best error:       974.64282 on epoch:    60, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 58.9301490784s, input_fired_time: 0.6326947212, output_fired_time: 0.5129114389, propagate_forward_time: 21.6393451691, propagate_backward_time: 34.2304382324, weight_update_time: 0.0946591720, other_time: 1.9147567749
epoch time: 4.9863066673s, input_fired_time: 0.0799253806, output_fired_time: 0.0000000000, propagate_forward_time: 4.5533876419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3529934883
validation[          , genome  4490] predictions:    9691/  10000 (96.91%), best:    9695/10000 (96.95%), error:      1009.16974, best error:       974.64282 on epoch:    60, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 58.9148597717s, input_fired_time: 0.6338920593, output_fired_time: 0.5151552558, propagate_forward_time: 21.6555614471, propagate_backward_time: 34.1964530945, weight_update_time: 0.0954123065, other_time: 1.9137992859
epoch time: 5.0749692917s, input_fired_time: 0.0805535987, output_fired_time: 0.0000000000, propagate_forward_time: 4.6355390549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3588767052
validation[          , genome  4490] predictions:    9711/  10000 (97.11%), best:    9695/10000 (96.95%), error:       981.83752, best error:       974.64282 on epoch:    60, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 60.8496360779s, input_fired_time: 0.6449971795, output_fired_time: 0.5295881629, propagate_forward_time: 22.4437351227, propagate_backward_time: 35.2707519531, weight_update_time: 0.0978161842, other_time: 1.9605636597
epoch time: 4.1814055443s, input_fired_time: 0.0711126402, output_fired_time: 0.0000000000, propagate_forward_time: 3.7965729237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3137199879
validation[          , genome  4490] predictions:    9689/  10000 (96.89%), best:    9695/10000 (96.95%), error:      1027.16321, best error:       974.64282 on epoch:    60, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 54.5282897949s, input_fired_time: 0.6099342108, output_fired_time: 0.4793158472, propagate_forward_time: 19.8385810852, propagate_backward_time: 31.7766685486, weight_update_time: 0.0893148258, other_time: 1.8237876892
epoch time: 5.2028236389s, input_fired_time: 0.0826267228, output_fired_time: 0.0000000000, propagate_forward_time: 4.7568669319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3633298874
validation[          , genome  4490] predictions:    9672/  10000 (96.72%), best:    9695/10000 (96.95%), error:      1088.07776, best error:       974.64282 on epoch:    60, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 61.2841606140s, input_fired_time: 0.6496155858, output_fired_time: 0.5313071012, propagate_forward_time: 22.5870761871, propagate_backward_time: 35.5453529358, weight_update_time: 0.0985745043, other_time: 1.9708061218
epoch time: 5.4361801147s, input_fired_time: 0.0856700838, output_fired_time: 0.0000000000, propagate_forward_time: 4.9742808342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3762292862
validation[          , genome  4490] predictions:    9655/  10000 (96.55%), best:    9695/10000 (96.95%), error:      1084.61340, best error:       974.64282 on epoch:    60, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 58.2965583801s, input_fired_time: 0.6330878735, output_fired_time: 0.5098031759, propagate_forward_time: 21.3870983124, propagate_backward_time: 33.8569068909, weight_update_time: 0.0945844501, other_time: 1.9096641541
epoch time: 5.1247687340s, input_fired_time: 0.0818556249, output_fired_time: 0.0000000000, propagate_forward_time: 4.6812930107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3616199493
validation[          , genome  4490] predictions:    9712/  10000 (97.12%), best:    9712/10000 (97.12%), error:       972.85144, best error:       972.85144 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 60.3353271484s, input_fired_time: 0.6444548965, output_fired_time: 0.5255219340, propagate_forward_time: 22.1912002563, propagate_backward_time: 35.0217056274, weight_update_time: 0.0969970673, other_time: 1.9524459839
epoch time: 4.0326867104s, input_fired_time: 0.0700312778, output_fired_time: 0.0000000000, propagate_forward_time: 3.6533367634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3093187809
validation[          , genome  4490] predictions:    9662/  10000 (96.62%), best:    9712/10000 (97.12%), error:      1132.48120, best error:       972.85144 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 55.7013092041s, input_fired_time: 0.6136090159, output_fired_time: 0.4887169302, propagate_forward_time: 20.3128128052, propagate_backward_time: 32.4337463379, weight_update_time: 0.0909318328, other_time: 1.8524246216
epoch time: 4.9785652161s, input_fired_time: 0.0794665888, output_fired_time: 0.0000000000, propagate_forward_time: 4.5437817574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3553166389
validation[          , genome  4490] predictions:    9700/  10000 (97.00%), best:    9712/10000 (97.12%), error:       995.67438, best error:       972.85144 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 60.2825355530s, input_fired_time: 0.6410841346, output_fired_time: 0.5226542950, propagate_forward_time: 22.2692241669, propagate_backward_time: 34.8888854980, weight_update_time: 0.0974613577, other_time: 1.9606857300
epoch time: 5.1455936432s, input_fired_time: 0.0790272951, output_fired_time: 0.0000000000, propagate_forward_time: 4.4659509659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6006155014
validation[          , genome  4490] predictions:    9694/  10000 (96.94%), best:    9712/10000 (97.12%), error:       985.96710, best error:       972.85144 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 92.3480529785s, input_fired_time: 1.1961320639, output_fired_time: 0.5919626951, propagate_forward_time: 33.6421737671, propagate_backward_time: 54.2397270203, weight_update_time: 0.1096993610, other_time: 2.6780586243
epoch time: 6.9550166130s, input_fired_time: 0.0827624202, output_fired_time: 0.0000000000, propagate_forward_time: 6.2544059753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6178483963
validation[          , genome  4490] predictions:    9694/  10000 (96.94%), best:    9712/10000 (97.12%), error:      1005.89807, best error:       972.85144 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 92.0033645630s, input_fired_time: 0.6965857148, output_fired_time: 0.5886225700, propagate_forward_time: 31.9804286957, propagate_backward_time: 55.3150024414, weight_update_time: 0.1096589640, other_time: 3.4227218628
epoch time: 6.1304197311s, input_fired_time: 0.0767928660, output_fired_time: 0.0000000000, propagate_forward_time: 5.7139525414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3396744728
validation[          , genome  4490] predictions:    9703/  10000 (97.03%), best:    9712/10000 (97.12%), error:       986.11017, best error:       972.85144 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 89.3425140381s, input_fired_time: 0.6836766005, output_fired_time: 0.8235465288, propagate_forward_time: 32.7533187866, propagate_backward_time: 52.2033653259, weight_update_time: 0.1065705195, other_time: 2.8786048889
epoch time: 6.4960250854s, input_fired_time: 0.0786750019, output_fired_time: 0.0000000000, propagate_forward_time: 6.0716071129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3457431793
validation[          , genome  4490] predictions:    9645/  10000 (96.45%), best:    9712/10000 (97.12%), error:      1168.66431, best error:       972.85144 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 96.0183181763s, input_fired_time: 0.9612292051, output_fired_time: 0.6122193933, propagate_forward_time: 36.6349754333, propagate_backward_time: 55.3215789795, weight_update_time: 0.1132741272, other_time: 2.4883155823
epoch time: 7.4134054184s, input_fired_time: 0.0873253793, output_fired_time: 0.0000000000, propagate_forward_time: 6.9355330467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3905467987
validation[          , genome  4490] predictions:    9705/  10000 (97.05%), best:    9712/10000 (97.12%), error:       990.74591, best error:       972.85144 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 99.8081512451s, input_fired_time: 0.9775892496, output_fired_time: 0.6351793408, propagate_forward_time: 36.8038177490, propagate_backward_time: 58.5962295532, weight_update_time: 0.1164808795, other_time: 2.7953338623
epoch time: 7.6951751709s, input_fired_time: 0.0880125687, output_fired_time: 0.0000000000, propagate_forward_time: 6.9667897224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6403727531
validation[          , genome  4490] predictions:    9642/  10000 (96.42%), best:    9712/10000 (97.12%), error:      1152.18335, best error:       972.85144 on epoch:    80, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 98.9546737671s, input_fired_time: 1.4736925364, output_fired_time: 0.6274821162, propagate_forward_time: 38.0637893677, propagate_backward_time: 56.4960403442, weight_update_time: 0.1164209470, other_time: 2.2936706543
epoch time: 8.2187795639s, input_fired_time: 0.0939252749, output_fired_time: 0.0000000000, propagate_forward_time: 7.7092485428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4156055450
validation[          , genome  4490] predictions:    9638/  10000 (96.38%), best:    9712/10000 (97.12%), error:      1147.39441, best error:       972.85144 on epoch:    80, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 97.4056320190s, input_fired_time: 1.2184541225, output_fired_time: 0.8695263267, propagate_forward_time: 33.0292663574, propagate_backward_time: 59.2831916809, weight_update_time: 0.3641468287, other_time: 3.0051918030
epoch time: 7.5085105896s, input_fired_time: 0.0893166587, output_fired_time: 0.0000000000, propagate_forward_time: 7.0242643356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3949294090
validation[          , genome  4490] predictions:    9672/  10000 (96.72%), best:    9712/10000 (97.12%), error:      1069.16541, best error:       972.85144 on epoch:    80, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 94.8164672852s, input_fired_time: 0.9588493109, output_fired_time: 1.1058976650, propagate_forward_time: 35.8564376831, propagate_backward_time: 53.9303932190, weight_update_time: 0.1118681952, other_time: 2.9648933411
epoch time: 8.2183132172s, input_fired_time: 0.0932371169, output_fired_time: 0.0000000000, propagate_forward_time: 7.7073683739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4177079201
validation[          , genome  4490] predictions:    9622/  10000 (96.22%), best:    9712/10000 (97.12%), error:      1186.90588, best error:       972.85144 on epoch:    80, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 95.1144638062s, input_fired_time: 0.7095990181, output_fired_time: 1.1069223881, propagate_forward_time: 34.4817085266, propagate_backward_time: 56.0901374817, weight_update_time: 0.3624490798, other_time: 2.7260894775
epoch time: 7.2485070229s, input_fired_time: 0.0862788856, output_fired_time: 0.0000000000, propagate_forward_time: 6.7822008133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3800272942
validation[          , genome  4490] predictions:    9678/  10000 (96.78%), best:    9712/10000 (97.12%), error:      1006.85938, best error:       972.85144 on epoch:    80, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 99.8393020630s, input_fired_time: 0.7308961749, output_fired_time: 0.8883962631, propagate_forward_time: 36.0401191711, propagate_backward_time: 58.8791160583, weight_update_time: 0.1163912416, other_time: 3.3007736206
epoch time: 6.9014534950s, input_fired_time: 0.0908624381, output_fired_time: 0.0000000000, propagate_forward_time: 6.4092311859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4013600349
validation[          , genome  4490] predictions:    9632/  10000 (96.32%), best:    9712/10000 (97.12%), error:      1175.24597, best error:       972.85144 on epoch:    80, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 65.6043930054s, input_fired_time: 0.6790917516, output_fired_time: 0.5656517148, propagate_forward_time: 24.2854080200, propagate_backward_time: 37.9890060425, weight_update_time: 0.1043427587, other_time: 2.0852355957
epoch time: 5.3745317459s, input_fired_time: 0.0857233331, output_fired_time: 0.0000000000, propagate_forward_time: 4.9157552719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3730530739
validation[          , genome  4490] predictions:    9703/  10000 (97.03%), best:    9712/10000 (97.12%), error:       977.31885, best error:       972.85144 on epoch:    80, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 66.0815887451s, input_fired_time: 0.6816076636, output_fired_time: 0.5659691095, propagate_forward_time: 24.5134468079, propagate_backward_time: 38.2178649902, weight_update_time: 0.1054958403, other_time: 2.1026954651
epoch time: 5.3803591728s, input_fired_time: 0.0851693451, output_fired_time: 0.0000000000, propagate_forward_time: 4.9206132889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3745765686
validation[          , genome  4490] predictions:    9663/  10000 (96.63%), best:    9712/10000 (97.12%), error:      1112.26489, best error:       972.85144 on epoch:    80, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 66.9767456055s, input_fired_time: 0.6866912842, output_fired_time: 0.5718301535, propagate_forward_time: 24.7793064117, propagate_backward_time: 38.8130455017, weight_update_time: 0.1071546972, other_time: 2.1258735657
epoch time: 5.3630714417s, input_fired_time: 0.0849630386, output_fired_time: 0.0000000000, propagate_forward_time: 4.9013800621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3767285347
validation[          , genome  4490] predictions:    9681/  10000 (96.81%), best:    9712/10000 (97.12%), error:      1080.22852, best error:       972.85144 on epoch:    80, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 66.5728607178s, input_fired_time: 0.6837596297, output_fired_time: 0.5716900826, propagate_forward_time: 24.6986522675, propagate_backward_time: 38.5098381042, weight_update_time: 0.1057410762, other_time: 2.1089134216
epoch time: 5.2325987816s, input_fired_time: 0.0837848708, output_fired_time: 0.0000000000, propagate_forward_time: 4.7830853462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3657283783
validation[          , genome  4490] predictions:    9680/  10000 (96.80%), best:    9712/10000 (97.12%), error:      1083.78564, best error:       972.85144 on epoch:    80, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 66.4897232056s, input_fired_time: 0.6825542450, output_fired_time: 0.5656066537, propagate_forward_time: 24.6576519012, propagate_backward_time: 38.4707984924, weight_update_time: 0.1060267836, other_time: 2.1131095886
epoch time: 5.4636826515s, input_fired_time: 0.0858083516, output_fired_time: 0.0000000000, propagate_forward_time: 4.9992036819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3786706924
validation[          , genome  4490] predictions:    9663/  10000 (96.63%), best:    9712/10000 (97.12%), error:      1128.62903, best error:       972.85144 on epoch:    80, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 67.8126144409s, input_fired_time: 0.6935323477, output_fired_time: 0.5817571878, propagate_forward_time: 25.2748508453, propagate_backward_time: 39.1221313477, weight_update_time: 0.1079058275, other_time: 2.1403427124
epoch time: 5.3914890289s, input_fired_time: 0.0863459781, output_fired_time: 0.0000000000, propagate_forward_time: 4.9273371696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3778057098
validation[          , genome  4490] predictions:    9674/  10000 (96.74%), best:    9712/10000 (97.12%), error:      1010.81445, best error:       972.85144 on epoch:    80, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 66.9506454468s, input_fired_time: 0.6871085763, output_fired_time: 0.5738746524, propagate_forward_time: 24.8794879913, propagate_backward_time: 38.6945648193, weight_update_time: 0.1066447645, other_time: 2.1156082153
epoch time: 5.4354639053s, input_fired_time: 0.0868077874, output_fired_time: 0.0000000000, propagate_forward_time: 4.9710412025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3776149750
validation[          , genome  4490] predictions:    9670/  10000 (96.70%), best:    9712/10000 (97.12%), error:      1061.92346, best error:       972.85144 on epoch:    80, 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: 27.4959068298s, input_fired_time: 0.4309680760, output_fired_time: 0.0000000000, propagate_forward_time: 25.0826759338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9822635651
best training[          , genome  4490] predictions:   49278/  50000 (98.56%), best:    9712/10000 (97.12%), error:      2697.33521, best error:       972.85144 on epoch:    80, 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: 5.4509277344s, input_fired_time: 0.0848887786, output_fired_time: 0.0000000000, propagate_forward_time: 4.9840941429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3819446564
   testing[          , genome  4490] predictions:    9749/  10000 (97.49%), best:    9712/10000 (97.12%), error:       922.32953, best error:       972.85144 on epoch:    80, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:55:06 (11676): called boinc_finish(0)

</stderr_txt>
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