Nameexact_genome_1512568488_44_4472_1
Workunit2593680
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:12 UTC
Report deadline12 Dec 2017, 23:57:37 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 3 min 18 sec
CPU time2 hours 18 min 57 sec
Validate stateValid
Credit1,393.13
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.50 MB
Peak swap size157.47 MB
Peak disk usage1.73 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
time: 0.0000000000, other_time: 0.3097834587
validation[          , genome  4472] predictions:    9601/  10000 (96.01%), best:    9622/10000 (96.22%), error:      1377.30688, best error:      1318.57275 on epoch:    18, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 60.3283882141s, input_fired_time: 0.7275378108, output_fired_time: 0.5678035617, propagate_forward_time: 21.4546051025, propagate_backward_time: 35.6935348511, weight_update_time: 0.0824515373, other_time: 1.8849067688
epoch time: 4.1701517105s, input_fired_time: 0.0795317516, output_fired_time: 0.0000000000, propagate_forward_time: 3.7782421112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3123779297
validation[          , genome  4472] predictions:    9581/  10000 (95.81%), best:    9622/10000 (96.22%), error:      1422.36377, best error:      1318.57275 on epoch:    18, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 60.7987556458s, input_fired_time: 0.7282352448, output_fired_time: 0.5719458461, propagate_forward_time: 21.6112995148, propagate_backward_time: 36.0044860840, weight_update_time: 0.0828165486, other_time: 1.8827896118
epoch time: 4.5323967934s, input_fired_time: 0.0831148550, output_fired_time: 0.0000000000, propagate_forward_time: 4.1202511787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3290309906
validation[          , genome  4472] predictions:    9621/  10000 (96.21%), best:    9621/10000 (96.21%), error:      1304.75220, best error:      1304.75220 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 60.6244239807s, input_fired_time: 0.7266176343, output_fired_time: 0.5705260038, propagate_forward_time: 21.5463523865, propagate_backward_time: 35.9033432007, weight_update_time: 0.0823936686, other_time: 1.8775863647
epoch time: 4.6678028107s, input_fired_time: 0.0845740587, output_fired_time: 0.0000000000, propagate_forward_time: 4.2472181320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3360104561
validation[          , genome  4472] predictions:    9636/  10000 (96.36%), best:    9636/10000 (96.36%), error:      1294.20032, best error:      1294.20032 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 60.9178047180s, input_fired_time: 0.7298999429, output_fired_time: 0.5746673346, propagate_forward_time: 21.7073612213, propagate_backward_time: 36.0245704651, weight_update_time: 0.0826927200, other_time: 1.8813056946
epoch time: 4.1722526550s, input_fired_time: 0.0807626173, output_fired_time: 0.0000000000, propagate_forward_time: 3.7821378708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3093523979
validation[          , genome  4472] predictions:    9626/  10000 (96.26%), best:    9626/10000 (96.26%), error:      1273.93994, best error:      1273.93994 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 61.4454765320s, input_fired_time: 0.7362729907, output_fired_time: 0.5787245035, propagate_forward_time: 21.9493160248, propagate_backward_time: 36.2865829468, weight_update_time: 0.0833361968, other_time: 1.8945770264
epoch time: 4.7516121864s, input_fired_time: 0.0855038911, output_fired_time: 0.0000000000, propagate_forward_time: 4.3230948448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3430132866
validation[          , genome  4472] predictions:    9591/  10000 (95.91%), best:    9626/10000 (96.26%), error:      1386.55005, best error:      1273.93994 on epoch:    24, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 65.5722274780s, input_fired_time: 0.7614746690, output_fired_time: 0.6135948300, propagate_forward_time: 23.4724235535, propagate_backward_time: 38.7201309204, weight_update_time: 0.0883048251, other_time: 2.0046043396
epoch time: 4.9153628349s, input_fired_time: 0.0891386345, output_fired_time: 0.0000000000, propagate_forward_time: 4.4771881104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3490362167
validation[          , genome  4472] predictions:    9631/  10000 (96.31%), best:    9631/10000 (96.31%), error:      1257.86121, best error:      1257.86121 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 63.2538414001s, input_fired_time: 0.7468358874, output_fired_time: 0.5942338109, propagate_forward_time: 22.6116275787, propagate_backward_time: 37.3699569702, weight_update_time: 0.0852650478, other_time: 1.9311828613
epoch time: 4.1770110130s, input_fired_time: 0.0797478333, output_fired_time: 0.0000000000, propagate_forward_time: 3.7832846642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3139786720
validation[          , genome  4472] predictions:    9587/  10000 (95.87%), best:    9631/10000 (96.31%), error:      1342.15442, best error:      1257.86121 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 61.9415397644s, input_fired_time: 0.7377967238, output_fired_time: 0.5831772089, propagate_forward_time: 22.0664291382, propagate_backward_time: 36.6496238708, weight_update_time: 0.0839629397, other_time: 1.9045143127
epoch time: 4.9704012871s, input_fired_time: 0.0893741995, output_fired_time: 0.0000000000, propagate_forward_time: 4.5294613838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3515658379
validation[          , genome  4472] predictions:    9629/  10000 (96.29%), best:    9629/10000 (96.29%), error:      1257.67700, best error:      1257.67700 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 59.1842079163s, input_fired_time: 0.7200848460, output_fired_time: 0.5596686602, propagate_forward_time: 20.9722309113, propagate_backward_time: 35.0864753723, weight_update_time: 0.0806972682, other_time: 1.8457450867
epoch time: 5.1409301758s, input_fired_time: 0.0906301513, output_fired_time: 0.0000000000, propagate_forward_time: 4.6949763298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3553237915
validation[          , genome  4472] predictions:    9475/  10000 (94.75%), best:    9629/10000 (96.29%), error:      1698.45642, best error:      1257.67700 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 59.1507110596s, input_fired_time: 0.7226924300, output_fired_time: 0.5601586699, propagate_forward_time: 20.9386730194, propagate_backward_time: 35.0795478821, weight_update_time: 0.0808243081, other_time: 1.8496437073
epoch time: 4.3628458977s, input_fired_time: 0.0821517408, output_fired_time: 0.0000000000, propagate_forward_time: 3.9608087540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3198852539
validation[          , genome  4472] predictions:    9624/  10000 (96.24%), best:    9629/10000 (96.29%), error:      1296.36511, best error:      1257.67700 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 61.4980964661s, input_fired_time: 0.7366487980, output_fired_time: 0.5791221857, propagate_forward_time: 21.8761806488, propagate_backward_time: 36.4119949341, weight_update_time: 0.0835354030, other_time: 1.8941497803
epoch time: 4.9267635345s, input_fired_time: 0.0890956670, output_fired_time: 0.0000000000, propagate_forward_time: 4.4924335480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3452343941
validation[          , genome  4472] predictions:    9619/  10000 (96.19%), best:    9629/10000 (96.29%), error:      1309.63867, best error:      1257.67700 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 62.2159996033s, input_fired_time: 0.7452208400, output_fired_time: 0.5852028131, propagate_forward_time: 22.2193622589, propagate_backward_time: 36.7545738220, weight_update_time: 0.0845635757, other_time: 1.9116401672
epoch time: 4.1704225540s, input_fired_time: 0.0814190656, output_fired_time: 0.0000000000, propagate_forward_time: 3.7762777805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3127257824
validation[          , genome  4472] predictions:    9647/  10000 (96.47%), best:    9647/10000 (96.47%), error:      1214.71667, best error:      1214.71667 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 64.8942565918s, input_fired_time: 0.7637125254, output_fired_time: 0.6089075208, propagate_forward_time: 23.3250675201, propagate_backward_time: 38.2374305725, weight_update_time: 0.0871082246, other_time: 1.9591407776
epoch time: 4.9213180542s, input_fired_time: 0.0890347287, output_fired_time: 0.0000000000, propagate_forward_time: 4.4854869843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3467965126
validation[          , genome  4472] predictions:    9525/  10000 (95.25%), best:    9647/10000 (96.47%), error:      1591.90576, best error:      1214.71667 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 64.7134170532s, input_fired_time: 0.7614129782, output_fired_time: 0.6041812897, propagate_forward_time: 23.2241897583, propagate_backward_time: 38.1604614258, weight_update_time: 0.0874097571, other_time: 1.9631729126
epoch time: 5.8959798813s, input_fired_time: 0.1011862904, output_fired_time: 0.0000000000, propagate_forward_time: 5.4049744606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3898191452
validation[          , genome  4472] predictions:    9653/  10000 (96.53%), best:    9647/10000 (96.47%), error:      1234.06580, best error:      1214.71667 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 66.0386734009s, input_fired_time: 0.7676356435, output_fired_time: 0.6177247763, propagate_forward_time: 23.6653995514, propagate_backward_time: 38.9924545288, weight_update_time: 0.0888823941, other_time: 1.9954605103
epoch time: 4.5295233727s, input_fired_time: 0.0850778818, output_fired_time: 0.0000000000, propagate_forward_time: 4.1168174744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3276281357
validation[          , genome  4472] predictions:    9627/  10000 (96.27%), best:    9647/10000 (96.47%), error:      1294.50598, best error:      1214.71667 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 62.8431091309s, input_fired_time: 0.7489817739, output_fired_time: 0.5914081931, propagate_forward_time: 22.4428424835, propagate_backward_time: 37.1417770386, weight_update_time: 0.0850662887, other_time: 1.9180984497
epoch time: 6.4428596497s, input_fired_time: 0.1074066982, output_fired_time: 0.0000000000, propagate_forward_time: 5.9211416245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4143114090
validation[          , genome  4472] predictions:    9635/  10000 (96.35%), best:    9647/10000 (96.47%), error:      1276.29175, best error:      1214.71667 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 62.1153411865s, input_fired_time: 0.7446830869, output_fired_time: 0.5826985836, propagate_forward_time: 22.1275596619, propagate_backward_time: 36.7487831116, weight_update_time: 0.0840827450, other_time: 1.9116172791
epoch time: 4.5569567680s, input_fired_time: 0.0846856833, output_fired_time: 0.0000000000, propagate_forward_time: 4.1428833008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3293876648
validation[          , genome  4472] predictions:    9616/  10000 (96.16%), best:    9647/10000 (96.47%), error:      1291.63708, best error:      1214.71667 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 61.0721702576s, input_fired_time: 0.7394832969, output_fired_time: 0.5769594312, propagate_forward_time: 21.7118549347, propagate_backward_time: 36.1610260010, weight_update_time: 0.0828815699, other_time: 1.8828506470
epoch time: 5.6090726852s, input_fired_time: 0.0983379409, output_fired_time: 0.0000000000, propagate_forward_time: 5.1333575249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3773770332
validation[          , genome  4472] predictions:    9639/  10000 (96.39%), best:    9647/10000 (96.47%), error:      1247.52954, best error:      1214.71667 on epoch:    32, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 58.3782272339s, input_fired_time: 0.7218626142, output_fired_time: 0.5538086891, propagate_forward_time: 20.6344985962, propagate_backward_time: 34.6366691589, weight_update_time: 0.0801336691, other_time: 1.8313865662
epoch time: 4.8881745338s, input_fired_time: 0.0899532810, output_fired_time: 0.0000000000, propagate_forward_time: 4.4538078308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3444132805
validation[          , genome  4472] predictions:    9635/  10000 (96.35%), best:    9647/10000 (96.47%), error:      1275.63086, best error:      1214.71667 on epoch:    32, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 57.6755599976s, input_fired_time: 0.7197862267, output_fired_time: 0.5460630655, propagate_forward_time: 20.3559589386, propagate_backward_time: 34.2348747253, weight_update_time: 0.0792345181, other_time: 1.8188743591
epoch time: 4.8769369125s, input_fired_time: 0.0896731615, output_fired_time: 0.0000000000, propagate_forward_time: 4.4427762032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3444876671
validation[          , genome  4472] predictions:    9581/  10000 (95.81%), best:    9647/10000 (96.47%), error:      1377.19263, best error:      1214.71667 on epoch:    32, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

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_44_4472.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4472_1_r591048241_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: 0.930178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00152608
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.10432e-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: 41
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 32
read number_validation_images: 10000
read best_validation_predictions: 9647
read best_validation_error: 1214.72
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: 4472
read normal distribution: '1 0 0'
generator_str: '1809068936'
read generator: 1809068936
read generated_by_map:
1 disable_node 1
reading 20 nodes.
reading 38 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: 84.9547500610352s, input_fired_time: 0.757510304450989, output_fired_time: 1.59895622730255, propagate_forward_time: 31.5751419067383, propagate_backward_time: 48.7884674072266, weight_update_time: 0.08794154971838, other_time: 2.23468017578125
epoch time: 7.00592184066772s, input_fired_time: 0.0937476009130478, output_fired_time: 0, propagate_forward_time: 6.29575634002686, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.61641788482666
validation[          , genome  4472] predictions:    9641/  10000 (96.41%), best:    9647/10000 (96.47%), error:      1273.93689, best error:      1214.71667 on epoch:    32, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 81.1137008667s, input_fired_time: 1.4849964380, output_fired_time: 0.5710333586, propagate_forward_time: 30.6360473633, propagate_backward_time: 46.2642402649, weight_update_time: 0.3338879347, other_time: 2.1573905945
epoch time: 6.5418205261s, input_fired_time: 0.0903622210, output_fired_time: 0.0000000000, propagate_forward_time: 6.0960702896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3553881645
validation[          , genome  4472] predictions:    9611/  10000 (96.11%), best:    9647/10000 (96.47%), error:      1290.51270, best error:      1214.71667 on epoch:    32, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 84.2597045898s, input_fired_time: 1.2528966665, output_fired_time: 0.5916259289, propagate_forward_time: 30.7292060852, propagate_backward_time: 49.7218475342, weight_update_time: 0.0868013054, other_time: 1.9641227722
epoch time: 8.0013065338s, input_fired_time: 0.1029443145, output_fired_time: 0.0000000000, propagate_forward_time: 7.4998278618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3985342979
validation[          , genome  4472] predictions:    9611/  10000 (96.11%), best:    9647/10000 (96.47%), error:      1334.88135, best error:      1214.71667 on epoch:    32, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 96.9149932861s, input_fired_time: 0.8133014441, output_fired_time: 0.6728093624, propagate_forward_time: 34.0172462463, propagate_backward_time: 58.0013580322, weight_update_time: 0.0968095362, other_time: 3.4102821350
epoch time: 6.6657943726s, input_fired_time: 0.0930481926, output_fired_time: 0.0000000000, propagate_forward_time: 5.7125501633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8601961136
validation[          , genome  4472] predictions:    9613/  10000 (96.13%), best:    9647/10000 (96.47%), error:      1321.93494, best error:      1214.71667 on epoch:    32, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 107.4109039307s, input_fired_time: 0.8618304133, output_fired_time: 0.7345815897, propagate_forward_time: 38.9251289368, propagate_backward_time: 63.3145179749, weight_update_time: 0.1059852466, other_time: 3.5748405457
epoch time: 8.1989965439s, input_fired_time: 0.1042514965, output_fired_time: 0.0000000000, propagate_forward_time: 7.4375185966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6572260857
validation[          , genome  4472] predictions:    9574/  10000 (95.74%), best:    9647/10000 (96.47%), error:      1483.22009, best error:      1214.71667 on epoch:    32, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 98.9811019897s, input_fired_time: 1.3220981359, output_fired_time: 1.1818627119, propagate_forward_time: 36.1243782043, propagate_backward_time: 56.9087486267, weight_update_time: 0.0988785848, other_time: 3.4440155029
epoch time: 8.8017339706s, input_fired_time: 0.1084909514, output_fired_time: 0.0000000000, propagate_forward_time: 8.2701835632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4230594635
validation[          , genome  4472] predictions:    9633/  10000 (96.33%), best:    9647/10000 (96.47%), error:      1258.11743, best error:      1214.71667 on epoch:    32, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 95.9443130493s, input_fired_time: 1.0569295883, output_fired_time: 0.9124655128, propagate_forward_time: 33.4935646057, propagate_backward_time: 58.3308982849, weight_update_time: 0.0965371653, other_time: 2.1504516602
epoch time: 7.2202095985s, input_fired_time: 0.0965032354, output_fired_time: 0.0000000000, propagate_forward_time: 6.7498316765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3738746643
validation[          , genome  4472] predictions:    9600/  10000 (96.00%), best:    9647/10000 (96.47%), error:      1367.05847, best error:      1214.71667 on epoch:    32, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 88.8540954590s, input_fired_time: 1.0231152773, output_fired_time: 0.8674019575, propagate_forward_time: 33.9529304504, propagate_backward_time: 50.7404937744, weight_update_time: 0.0902665928, other_time: 2.2701530457
epoch time: 8.2109632492s, input_fired_time: 0.1046641916, output_fired_time: 0.0000000000, propagate_forward_time: 7.6976094246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4086899757
validation[          , genome  4472] predictions:    9674/  10000 (96.74%), best:    9674/10000 (96.74%), error:      1154.45886, best error:      1154.45886 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 99.5897750854s, input_fired_time: 1.0754039288, output_fired_time: 0.9334977865, propagate_forward_time: 35.9479446411, propagate_backward_time: 58.9441642761, weight_update_time: 0.0984889716, other_time: 2.6887702942
epoch time: 8.9598560333s, input_fired_time: 0.1109931692, output_fired_time: 0.0000000000, propagate_forward_time: 8.4192962646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4295663834
validation[          , genome  4472] predictions:    9636/  10000 (96.36%), best:    9674/10000 (96.74%), error:      1269.67090, best error:      1154.45886 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 101.4147949219s, input_fired_time: 0.8347896338, output_fired_time: 0.6967798471, propagate_forward_time: 38.6108512878, propagate_backward_time: 57.8044815063, weight_update_time: 0.3505004942, other_time: 3.4678916931
epoch time: 9.0604543686s, input_fired_time: 0.3625756800, output_fired_time: 0.0000000000, propagate_forward_time: 7.7626867294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9351921082
validation[          , genome  4472] predictions:    9664/  10000 (96.64%), best:    9664/10000 (96.64%), error:      1143.89600, best error:      1143.89600 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 106.9467849731s, input_fired_time: 1.6125605106, output_fired_time: 0.9838505387, propagate_forward_time: 41.4659652710, propagate_backward_time: 60.5813407898, weight_update_time: 0.1051230431, other_time: 2.3030662537
epoch time: 7.6408672333s, input_fired_time: 0.1017943472, output_fired_time: 0.0000000000, propagate_forward_time: 6.8970522881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6420207024
validation[          , genome  4472] predictions:    9676/  10000 (96.76%), best:    9664/10000 (96.64%), error:      1169.89258, best error:      1143.89600 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 68.7479019165s, input_fired_time: 0.7590185404, output_fired_time: 0.5951060653, propagate_forward_time: 24.9377384186, propagate_backward_time: 40.5061302185, weight_update_time: 0.0866416618, other_time: 1.9499092102
epoch time: 5.6303234100s, input_fired_time: 0.0992061198, output_fired_time: 0.0000000000, propagate_forward_time: 5.1538524628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3772649765
validation[          , genome  4472] predictions:    9658/  10000 (96.58%), best:    9664/10000 (96.64%), error:      1167.41663, best error:      1143.89600 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 59.4702682495s, input_fired_time: 0.7333261371, output_fired_time: 0.5587803721, propagate_forward_time: 21.0701541901, propagate_backward_time: 35.2480049133, weight_update_time: 0.0816510469, other_time: 1.8600044250
epoch time: 4.4811811447s, input_fired_time: 0.0865476876, output_fired_time: 0.0000000000, propagate_forward_time: 4.0713915825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3232417107
validation[          , genome  4472] predictions:    9617/  10000 (96.17%), best:    9664/10000 (96.64%), error:      1240.51697, best error:      1143.89600 on epoch:    50, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 71.1793289185s, input_fired_time: 0.8050529361, output_fired_time: 0.6594480872, propagate_forward_time: 25.8042221069, propagate_backward_time: 41.8073501587, weight_update_time: 0.0948777050, other_time: 2.1032562256
epoch time: 5.2925157547s, input_fired_time: 0.0955698192, output_fired_time: 0.0000000000, propagate_forward_time: 4.8351259232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3618202209
validation[          , genome  4472] predictions:    9653/  10000 (96.53%), best:    9664/10000 (96.64%), error:      1170.22546, best error:      1143.89600 on epoch:    50, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 61.6669273376s, input_fired_time: 0.7474424243, output_fired_time: 0.5787445307, propagate_forward_time: 21.9740161896, propagate_backward_time: 36.4583358765, weight_update_time: 0.0842213556, other_time: 1.9083862305
epoch time: 4.4466938972s, input_fired_time: 0.0845462456, output_fired_time: 0.0000000000, propagate_forward_time: 4.0387096405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3234381676
validation[          , genome  4472] predictions:    9612/  10000 (96.12%), best:    9664/10000 (96.64%), error:      1345.42810, best error:      1143.89600 on epoch:    50, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 62.0980834961s, input_fired_time: 0.7507898211, output_fired_time: 0.5815114379, propagate_forward_time: 22.1477127075, propagate_backward_time: 36.7043876648, weight_update_time: 0.0845526606, other_time: 1.9136810303
epoch time: 4.9775629044s, input_fired_time: 0.0922780931, output_fired_time: 0.0000000000, propagate_forward_time: 4.5367813110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3485035896
validation[          , genome  4472] predictions:    9620/  10000 (96.20%), best:    9664/10000 (96.64%), error:      1359.84155, best error:      1143.89600 on epoch:    50, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 65.5325546265s, input_fired_time: 0.7732573748, output_fired_time: 0.6100000739, propagate_forward_time: 23.5609798431, propagate_backward_time: 38.5970687866, weight_update_time: 0.0885866880, other_time: 1.9912490845
epoch time: 5.5405187607s, input_fired_time: 0.0986797810, output_fired_time: 0.0000000000, propagate_forward_time: 5.0669593811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3748798370
validation[          , genome  4472] predictions:    9636/  10000 (96.36%), best:    9664/10000 (96.64%), error:      1250.62219, best error:      1143.89600 on epoch:    50, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 75.4038848877s, input_fired_time: 0.8380105495, output_fired_time: 0.6944321394, propagate_forward_time: 27.5608425140, propagate_backward_time: 44.1113739014, weight_update_time: 0.1000383496, other_time: 2.1992187500
epoch time: 4.7693958282s, input_fired_time: 0.0892818496, output_fired_time: 0.0000000000, propagate_forward_time: 4.3399329185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3401808739
validation[          , genome  4472] predictions:    9615/  10000 (96.15%), best:    9664/10000 (96.64%), error:      1311.02429, best error:      1143.89600 on epoch:    50, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 66.9010314941s, input_fired_time: 0.7825543880, output_fired_time: 0.6212489009, propagate_forward_time: 24.0812072754, propagate_backward_time: 39.4000244141, weight_update_time: 0.0898186043, other_time: 2.0159988403
epoch time: 5.4316134453s, input_fired_time: 0.0961816981, output_fired_time: 0.0000000000, propagate_forward_time: 4.9661006927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3693308830
validation[          , genome  4472] predictions:    9651/  10000 (96.51%), best:    9664/10000 (96.64%), error:      1219.18030, best error:      1143.89600 on epoch:    50, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 62.7360763550s, input_fired_time: 0.7562400699, output_fired_time: 0.5848433971, propagate_forward_time: 22.3936786652, propagate_backward_time: 37.0616950989, weight_update_time: 0.0857614353, other_time: 1.9396171570
epoch time: 5.7576012611s, input_fired_time: 0.1008962840, output_fired_time: 0.0000000000, propagate_forward_time: 5.2715787888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3851261139
validation[          , genome  4472] predictions:    9621/  10000 (96.21%), best:    9664/10000 (96.64%), error:      1275.86401, best error:      1143.89600 on epoch:    50, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 73.8230972290s, input_fired_time: 0.8278297186, output_fired_time: 0.6784375906, propagate_forward_time: 26.9485721588, propagate_backward_time: 43.2021636963, weight_update_time: 0.0978162140, other_time: 2.1660995483
epoch time: 4.6931977272s, input_fired_time: 0.0895951986, output_fired_time: 0.0000000000, propagate_forward_time: 4.2697367668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3338656425
validation[          , genome  4472] predictions:    9662/  10000 (96.62%), best:    9664/10000 (96.64%), error:      1170.85999, best error:      1143.89600 on epoch:    50, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 67.5695953369s, input_fired_time: 0.7875694036, output_fired_time: 0.6264076233, propagate_forward_time: 24.3821105957, propagate_backward_time: 39.7336235046, weight_update_time: 0.0910382792, other_time: 2.0398902893
epoch time: 4.6772742271s, input_fired_time: 0.0879838765, output_fired_time: 0.0000000000, propagate_forward_time: 4.2545413971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3347487450
validation[          , genome  4472] predictions:    9612/  10000 (96.12%), best:    9664/10000 (96.64%), error:      1289.32642, best error:      1143.89600 on epoch:    50, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 70.6174011230s, input_fired_time: 0.8079535961, output_fired_time: 0.6501307487, propagate_forward_time: 25.5754356384, propagate_backward_time: 41.4792022705, weight_update_time: 0.0946381763, other_time: 2.1046791077
epoch time: 5.2680115700s, input_fired_time: 0.0957423747, output_fired_time: 0.0000000000, propagate_forward_time: 4.8096365929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3626327515
validation[          , genome  4472] predictions:    9610/  10000 (96.10%), best:    9664/10000 (96.64%), error:      1301.94177, best error:      1143.89600 on epoch:    50, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 68.8233947754s, input_fired_time: 0.7978909612, output_fired_time: 0.6356066465, propagate_forward_time: 24.8717899323, propagate_backward_time: 40.4493560791, weight_update_time: 0.0923064947, other_time: 2.0687561035
epoch time: 6.3495264053s, input_fired_time: 0.1080398485, output_fired_time: 0.0000000000, propagate_forward_time: 5.8294801712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4120063782
validation[          , genome  4472] predictions:    9607/  10000 (96.07%), best:    9664/10000 (96.64%), error:      1294.41211, best error:      1143.89600 on epoch:    50, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 71.7394561768s, input_fired_time: 0.8141803145, output_fired_time: 0.6601048708, propagate_forward_time: 25.9900150299, propagate_backward_time: 42.1497421265, weight_update_time: 0.0955003724, other_time: 2.1254196167
epoch time: 5.3109927177s, input_fired_time: 0.0962205827, output_fired_time: 0.0000000000, propagate_forward_time: 4.8508076668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3639645576
validation[          , genome  4472] predictions:    9589/  10000 (95.89%), best:    9664/10000 (96.64%), error:      1407.89832, best error:      1143.89600 on epoch:    50, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 69.1230316162s, input_fired_time: 0.8013382554, output_fired_time: 0.6375523210, propagate_forward_time: 25.0076160431, propagate_backward_time: 40.6043853760, weight_update_time: 0.0930161327, other_time: 2.0721435547
epoch time: 5.0725913048s, input_fired_time: 0.0943994150, output_fired_time: 0.0000000000, propagate_forward_time: 4.6255807877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3526110649
validation[          , genome  4472] predictions:    9656/  10000 (96.56%), best:    9664/10000 (96.64%), error:      1188.29529, best error:      1143.89600 on epoch:    50, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 69.4622116089s, input_fired_time: 0.8033611178, output_fired_time: 0.6449987888, propagate_forward_time: 25.1734466553, propagate_backward_time: 40.7703247070, weight_update_time: 0.0928875953, other_time: 2.0700836182
epoch time: 6.7844696045s, input_fired_time: 0.1045085043, output_fired_time: 0.0000000000, propagate_forward_time: 6.2932000160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3867611885
validation[          , genome  4472] predictions:    9621/  10000 (96.21%), best:    9664/10000 (96.64%), error:      1265.29211, best error:      1143.89600 on epoch:    50, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 97.3377914429s, input_fired_time: 1.0773776770, output_fired_time: 0.6693092585, propagate_forward_time: 36.1196517944, propagate_backward_time: 57.0603523254, weight_update_time: 0.0972785726, other_time: 2.4110984802
epoch time: 8.4029970169s, input_fired_time: 0.1099757552, output_fired_time: 0.0000000000, propagate_forward_time: 7.3757357597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9172854424
validation[          , genome  4472] predictions:    9613/  10000 (96.13%), best:    9664/10000 (96.64%), error:      1319.19983, best error:      1143.89600 on epoch:    50, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 92.9904251099s, input_fired_time: 0.8074892759, output_fired_time: 0.6464499831, propagate_forward_time: 34.8188743591, propagate_backward_time: 54.3758926392, weight_update_time: 0.0935966894, other_time: 2.3417243958
epoch time: 7.6962957382s, input_fired_time: 0.1016340703, output_fired_time: 0.0000000000, propagate_forward_time: 7.2105288506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3841328621
validation[          , genome  4472] predictions:    9635/  10000 (96.35%), best:    9664/10000 (96.64%), error:      1252.31104, best error:      1143.89600 on epoch:    50, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 106.9051361084s, input_fired_time: 0.8755161166, output_fired_time: 0.9821571112, propagate_forward_time: 37.8370475769, propagate_backward_time: 63.6503524780, weight_update_time: 0.1053564772, other_time: 3.5600662231
epoch time: 7.1848430634s, input_fired_time: 0.0991144702, output_fired_time: 0.0000000000, propagate_forward_time: 6.7129960060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3727326393
validation[          , genome  4472] predictions:    9635/  10000 (96.35%), best:    9664/10000 (96.64%), error:      1255.56140, best error:      1143.89600 on epoch:    50, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 101.4952011108s, input_fired_time: 1.0949451923, output_fired_time: 0.6979504228, propagate_forward_time: 38.8878631592, propagate_backward_time: 57.8368415833, weight_update_time: 0.1010238305, other_time: 2.9775962830
epoch time: 8.8050298691s, input_fired_time: 0.1115783602, output_fired_time: 0.0000000000, propagate_forward_time: 8.2701683044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4232835770
validation[          , genome  4472] predictions:    9663/  10000 (96.63%), best:    9664/10000 (96.64%), error:      1190.68994, best error:      1143.89600 on epoch:    50, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 95.0875625610s, input_fired_time: 1.8168083429, output_fired_time: 0.6564787626, propagate_forward_time: 33.8800430298, propagate_backward_time: 56.3590469360, weight_update_time: 0.0951690525, other_time: 2.3751831055
epoch time: 5.5790143013s, input_fired_time: 0.0862123221, output_fired_time: 0.0000000000, propagate_forward_time: 4.9226570129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5701451302
validation[          , genome  4472] predictions:    9602/  10000 (96.02%), best:    9664/10000 (96.64%), error:      1329.61597, best error:      1143.89600 on epoch:    50, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 102.9517974854s, input_fired_time: 0.8564775586, output_fired_time: 0.9574571848, propagate_forward_time: 37.8370094299, propagate_backward_time: 60.3031921387, weight_update_time: 0.1018517613, other_time: 2.9976615906
epoch time: 7.0826754570s, input_fired_time: 0.0977484211, output_fired_time: 0.0000000000, propagate_forward_time: 6.3676371574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6172900200
validation[          , genome  4472] predictions:    9670/  10000 (96.70%), best:    9670/10000 (96.70%), error:      1129.85693, best error:      1129.85693 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 101.1255416870s, input_fired_time: 0.8482872844, output_fired_time: 0.9443565607, propagate_forward_time: 36.8112716675, propagate_backward_time: 58.8003692627, weight_update_time: 0.1002722606, other_time: 3.7212524414
epoch time: 9.6087741852s, input_fired_time: 0.1171510592, output_fired_time: 0.0000000000, propagate_forward_time: 8.7933721542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6982507706
validation[          , genome  4472] predictions:    9590/  10000 (95.90%), best:    9670/10000 (96.70%), error:      1364.70337, best error:      1129.85693 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 113.3166961670s, input_fired_time: 1.1539616585, output_fired_time: 1.2717627287, propagate_forward_time: 42.9217147827, propagate_backward_time: 65.0628356934, weight_update_time: 0.1102773398, other_time: 2.9064254761
epoch time: 9.6525354385s, input_fired_time: 0.1185708940, output_fired_time: 0.0000000000, propagate_forward_time: 8.8330860138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7008781433
validation[          , genome  4472] predictions:    9676/  10000 (96.76%), best:    9670/10000 (96.70%), error:      1158.81677, best error:      1129.85693 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 112.0827941895s, input_fired_time: 1.3999625444, output_fired_time: 0.7635968328, propagate_forward_time: 41.7919349670, propagate_backward_time: 65.7435455322, weight_update_time: 0.1091596782, other_time: 2.3837585449
epoch time: 10.0918645859s, input_fired_time: 0.1237703264, output_fired_time: 0.0000000000, propagate_forward_time: 9.4956378937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4724559784
validation[          , genome  4472] predictions:    9631/  10000 (96.31%), best:    9670/10000 (96.70%), error:      1196.80579, best error:      1129.85693 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 82.5777587891s, input_fired_time: 0.8514354229, output_fired_time: 0.6971372962, propagate_forward_time: 29.7408256531, propagate_backward_time: 48.8264846802, weight_update_time: 0.1007812545, other_time: 2.4618797302
epoch time: 5.2824525833s, input_fired_time: 0.0976951644, output_fired_time: 0.0000000000, propagate_forward_time: 4.8233556747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3614015579
validation[          , genome  4472] predictions:    9670/  10000 (96.70%), best:    9670/10000 (96.70%), error:      1135.02551, best error:      1129.85693 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 72.8365097046s, input_fired_time: 0.8312926292, output_fired_time: 0.6681562066, propagate_forward_time: 26.5077152252, propagate_backward_time: 42.6847152710, weight_update_time: 0.0969770253, other_time: 2.1446304321
epoch time: 5.7736630440s, input_fired_time: 0.1026207209, output_fired_time: 0.0000000000, propagate_forward_time: 5.2860779762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3849644661
validation[          , genome  4472] predictions:    9604/  10000 (96.04%), best:    9670/10000 (96.70%), error:      1289.23315, best error:      1129.85693 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 72.7143936157s, input_fired_time: 0.8301326632, output_fired_time: 0.6698529720, propagate_forward_time: 26.4945163727, propagate_backward_time: 42.5847740173, weight_update_time: 0.0966769978, other_time: 2.1351203918
epoch time: 5.5721783638s, input_fired_time: 0.1005522087, output_fired_time: 0.0000000000, propagate_forward_time: 5.0969176292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3747086525
validation[          , genome  4472] predictions:    9641/  10000 (96.41%), best:    9670/10000 (96.70%), error:      1261.25488, best error:      1129.85693 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 72.5285720825s, input_fired_time: 0.8275446892, output_fired_time: 0.6684864759, propagate_forward_time: 26.3320789337, propagate_backward_time: 42.5653686523, weight_update_time: 0.0962709486, other_time: 2.1350936890
epoch time: 6.1152911186s, input_fired_time: 0.1071730107, output_fired_time: 0.0000000000, propagate_forward_time: 5.6076836586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4004344940
validation[          , genome  4472] predictions:    9655/  10000 (96.55%), best:    9670/10000 (96.70%), error:      1237.01807, best error:      1129.85693 on epoch:    73, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 69.6820373535s, input_fired_time: 0.8133942485, output_fired_time: 0.6457209587, propagate_forward_time: 25.2685565948, propagate_backward_time: 40.8789482117, weight_update_time: 0.0928676203, other_time: 2.0754203796
epoch time: 5.1858081818s, input_fired_time: 0.0971734524, output_fired_time: 0.0000000000, propagate_forward_time: 4.7291097641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3595247269
validation[          , genome  4472] predictions:    9667/  10000 (96.67%), best:    9670/10000 (96.70%), error:      1148.61694, best error:      1129.85693 on epoch:    73, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 72.7803497314s, input_fired_time: 0.8326309323, output_fired_time: 0.6704565287, propagate_forward_time: 26.4935436249, propagate_backward_time: 42.6463584900, weight_update_time: 0.0964076295, other_time: 2.1373558044
epoch time: 5.8421225548s, input_fired_time: 0.1047793403, output_fired_time: 0.0000000000, propagate_forward_time: 5.3491172791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3882260323
validation[          , genome  4472] predictions:    9633/  10000 (96.33%), best:    9670/10000 (96.70%), error:      1280.30347, best error:      1129.85693 on epoch:    73, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 71.7683563232s, input_fired_time: 0.8265116215, output_fired_time: 0.6599681973, propagate_forward_time: 26.0446605682, propagate_backward_time: 42.1120223999, weight_update_time: 0.0957046896, other_time: 2.1251907349
epoch time: 6.1237616539s, input_fired_time: 0.1088810638, output_fired_time: 0.0000000000, propagate_forward_time: 5.6148762703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4000043869
validation[          , genome  4472] predictions:    9640/  10000 (96.40%), best:    9670/10000 (96.70%), error:      1283.94067, best error:      1129.85693 on epoch:    73, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 69.8636169434s, input_fired_time: 0.8154909015, output_fired_time: 0.6446722150, propagate_forward_time: 25.2640438080, propagate_backward_time: 41.0517539978, weight_update_time: 0.0936699063, other_time: 2.0876579285
epoch time: 4.9200129509s, input_fired_time: 0.0937696025, output_fired_time: 0.0000000000, propagate_forward_time: 4.4813528061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3448905945
validation[          , genome  4472] predictions:    9668/  10000 (96.68%), best:    9670/10000 (96.70%), error:      1149.35999, best error:      1129.85693 on epoch:    73, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 73.2590179443s, input_fired_time: 0.8381951451, output_fired_time: 0.6746627092, propagate_forward_time: 26.6532955170, propagate_backward_time: 42.9371528625, weight_update_time: 0.0974342227, other_time: 2.1557121277
epoch time: 5.5017261505s, input_fired_time: 0.1010979712, output_fired_time: 0.0000000000, propagate_forward_time: 5.0293703079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3712577820
validation[          , genome  4472] predictions:    9650/  10000 (96.50%), best:    9670/10000 (96.70%), error:      1235.46729, best error:      1129.85693 on epoch:    73, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 73.0622863770s, input_fired_time: 0.8359156847, output_fired_time: 0.6718760729, propagate_forward_time: 26.5710201263, propagate_backward_time: 42.8308372498, weight_update_time: 0.0974086002, other_time: 2.1526374817
epoch time: 5.9629750252s, input_fired_time: 0.1067592725, output_fired_time: 0.0000000000, propagate_forward_time: 5.4611425400, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3950734138
validation[          , genome  4472] predictions:    9629/  10000 (96.29%), best:    9670/10000 (96.70%), error:      1266.15527, best error:      1129.85693 on epoch:    73, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 73.6480865479s, input_fired_time: 0.8392971158, output_fired_time: 0.6771579981, propagate_forward_time: 26.8887062073, propagate_backward_time: 43.0771942139, weight_update_time: 0.0980030596, other_time: 2.1657371521
epoch time: 6.1450972557s, input_fired_time: 0.1085636020, output_fired_time: 0.0000000000, propagate_forward_time: 5.6330933571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4034404755
validation[          , genome  4472] predictions:    9622/  10000 (96.22%), best:    9670/10000 (96.70%), error:      1259.11487, best error:      1129.85693 on epoch:    73, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 76.6115646362s, input_fired_time: 0.8605228066, output_fired_time: 0.7050948739, propagate_forward_time: 28.0954780579, propagate_backward_time: 44.7181053162, weight_update_time: 0.1016787514, other_time: 2.2323684692
epoch time: 5.4682712555s, input_fired_time: 0.1012188271, output_fired_time: 0.0000000000, propagate_forward_time: 4.9968357086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3702168465
validation[          , genome  4472] predictions:    9674/  10000 (96.74%), best:    9670/10000 (96.70%), error:      1167.62231, best error:      1129.85693 on epoch:    73, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 75.9794845581s, input_fired_time: 0.8547264338, output_fired_time: 0.6988496184, propagate_forward_time: 27.7129344940, propagate_backward_time: 44.5021362305, weight_update_time: 0.1004202440, other_time: 2.2108306885
epoch time: 6.1331553459s, input_fired_time: 0.1084279343, output_fired_time: 0.0000000000, propagate_forward_time: 5.6188735962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4058537483
validation[          , genome  4472] predictions:    9613/  10000 (96.13%), best:    9670/10000 (96.70%), error:      1251.11414, best error:      1129.85693 on epoch:    73, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 79.0068740845s, input_fired_time: 0.8740543723, output_fired_time: 0.7203915119, propagate_forward_time: 28.8278636932, propagate_backward_time: 46.3095588684, weight_update_time: 0.1037390605, other_time: 2.2750053406
epoch time: 8.2489967346s, input_fired_time: 0.1189354062, output_fired_time: 0.0000000000, propagate_forward_time: 7.6860055923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4440555573
validation[          , genome  4472] predictions:    9663/  10000 (96.63%), best:    9670/10000 (96.70%), error:      1157.20471, best error:      1129.85693 on epoch:    73, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 123.6700744629s, input_fired_time: 1.2163488865, output_fired_time: 0.8375689983, propagate_forward_time: 46.0751953125, propagate_backward_time: 72.4766845703, weight_update_time: 0.1181658506, other_time: 3.0642776489
epoch time: 9.9541683197s, input_fired_time: 0.1249950677, output_fired_time: 0.0000000000, propagate_forward_time: 9.3651838303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4639892578
validation[          , genome  4472] predictions:    9662/  10000 (96.62%), best:    9670/10000 (96.70%), error:      1159.43481, best error:      1129.85693 on epoch:    73, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 123.4093093872s, input_fired_time: 1.2153947353, output_fired_time: 1.8328428268, propagate_forward_time: 46.2642097473, propagate_backward_time: 70.5291519165, weight_update_time: 0.1190619022, other_time: 3.5677108765
epoch time: 10.0992288589s, input_fired_time: 0.1252373010, output_fired_time: 0.0000000000, propagate_forward_time: 8.7509374619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2230539322
validation[          , genome  4472] predictions:    9623/  10000 (96.23%), best:    9670/10000 (96.70%), error:      1258.90906, best error:      1129.85693 on epoch:    73, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 125.9933853149s, input_fired_time: 1.2251832485, output_fired_time: 1.1019487381, propagate_forward_time: 49.2651290894, propagate_backward_time: 71.7955932617, weight_update_time: 0.1210479736, other_time: 2.6055297852
epoch time: 10.6858425140s, input_fired_time: 0.1305698156, output_fired_time: 0.0000000000, propagate_forward_time: 9.8165798187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7386932373
validation[          , genome  4472] predictions:    9643/  10000 (96.43%), best:    9670/10000 (96.70%), error:      1226.11304, best error:      1129.85693 on epoch:    73, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 128.4998321533s, input_fired_time: 0.9901517034, output_fired_time: 1.3666844368, propagate_forward_time: 47.1926994324, propagate_backward_time: 75.2994995117, weight_update_time: 0.1232828945, other_time: 3.6508026123
epoch time: 10.4190120697s, input_fired_time: 0.1271389276, output_fired_time: 0.0000000000, propagate_forward_time: 9.8121309280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4797420502
validation[          , genome  4472] predictions:    9655/  10000 (96.55%), best:    9670/10000 (96.70%), error:      1191.62329, best error:      1129.85693 on epoch:    73, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 131.6952209473s, input_fired_time: 1.5103877783, output_fired_time: 1.1372129917, propagate_forward_time: 49.0154876709, propagate_backward_time: 76.0805740356, weight_update_time: 0.1257748157, other_time: 3.9515609741
epoch time: 10.7537441254s, input_fired_time: 0.1312979311, output_fired_time: 0.0000000000, propagate_forward_time: 10.1313142776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4911317825
validation[          , genome  4472] predictions:    9644/  10000 (96.44%), best:    9670/10000 (96.70%), error:      1232.64917, best error:      1129.85693 on epoch:    73, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 132.0865173340s, input_fired_time: 1.5120967627, output_fired_time: 1.1377314329, propagate_forward_time: 48.8068237305, propagate_backward_time: 76.6813278198, weight_update_time: 0.3759616911, other_time: 3.9485397339
epoch time: 10.7843656540s, input_fired_time: 0.1314474791, output_fired_time: 0.0000000000, propagate_forward_time: 10.1605634689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4923543930
validation[          , genome  4472] predictions:    9654/  10000 (96.54%), best:    9670/10000 (96.70%), error:      1238.92151, best error:      1129.85693 on epoch:    73, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 132.1073760986s, input_fired_time: 1.2571370602, output_fired_time: 0.8829026222, propagate_forward_time: 49.8653030396, propagate_backward_time: 76.9053115845, weight_update_time: 0.1257000864, other_time: 3.1967163086
epoch time: 10.7779722214s, input_fired_time: 0.1300783157, output_fired_time: 0.0000000000, propagate_forward_time: 9.9052305222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7426633835
validation[          , genome  4472] predictions:    9654/  10000 (96.54%), best:    9670/10000 (96.70%), error:      1216.10461, best error:      1129.85693 on epoch:    73, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 134.0556030273s, input_fired_time: 1.2709144354, output_fired_time: 1.3864144087, propagate_forward_time: 50.7130661011, propagate_backward_time: 77.2324066162, weight_update_time: 0.1264010221, other_time: 3.4527969360
epoch time: 10.7589530945s, input_fired_time: 0.1312897354, output_fired_time: 0.0000000000, propagate_forward_time: 10.1379013062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4897623062
validation[          , genome  4472] predictions:    9664/  10000 (96.64%), best:    9670/10000 (96.70%), error:      1163.54614, best error:      1129.85693 on epoch:    73, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 131.1985626221s, input_fired_time: 1.7570805550, output_fired_time: 0.8818112612, propagate_forward_time: 48.5918655396, propagate_backward_time: 76.5238494873, weight_update_time: 0.1250272691, other_time: 3.4439620972
epoch time: 10.5629968643s, input_fired_time: 0.3795819581, output_fired_time: 0.0000000000, propagate_forward_time: 9.7005500793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4828643799
validation[          , genome  4472] predictions:    9653/  10000 (96.53%), best:    9670/10000 (96.70%), error:      1185.58398, best error:      1129.85693 on epoch:    73, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 127.3549652100s, input_fired_time: 0.9875846505, output_fired_time: 0.8614962101, propagate_forward_time: 48.3398323059, propagate_backward_time: 74.0389099121, weight_update_time: 0.1218964085, other_time: 3.1271362305
epoch time: 9.9381570816s, input_fired_time: 0.1252265424, output_fired_time: 0.0000000000, propagate_forward_time: 9.0966281891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7163019180
validation[          , genome  4472] predictions:    9649/  10000 (96.49%), best:    9670/10000 (96.70%), error:      1218.47009, best error:      1129.85693 on epoch:    73, 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: 50.7992134094s, input_fired_time: 1.1199290752, output_fired_time: 0.0000000000, propagate_forward_time: 46.4947433472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1845397949
best training[          , genome  4472] predictions:   49041/  50000 (98.08%), best:    9670/10000 (96.70%), error:      3445.53784, best error:      1129.85693 on epoch:    73, 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: 6.5010447502s, input_fired_time: 0.1101447046, output_fired_time: 0.0000000000, propagate_forward_time: 5.9692969322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4216032028
   testing[          , genome  4472] predictions:    9696/  10000 (96.96%), best:    9670/10000 (96.70%), error:      1079.42566, best error:      1129.85693 on epoch:    73, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
01:11:24 (7412): called boinc_finish(0)

</stderr_txt>
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