Nameexact_genome_1508499903_22_15107_2
Workunit2265847
Created5 Dec 2017, 9:23:08 UTC
Sent5 Dec 2017, 9:42:23 UTC
Report deadline15 Jan 2018, 18:35:38 UTC
Received7 Dec 2017, 9:33:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID54172
Run time22 hours 33 min 9 sec
CPU time22 hours 32 min 36 sec
Validate stateValid
Credit10,342.58
Device peak FLOPS3.27 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size163.98 MB
Peak swap size165.67 MB
Peak disk usage3.09 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
ime: 0.0000000000, propagate_forward_time: 61.1954612732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3360290527
validation[          , genome 15107] predictions:    9841/  10000 (98.41%), best:    9841/10000 (98.41%), error:       512.75916, best error:       512.75916 on epoch:    20, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 737.0829467773s, input_fired_time: 6.7849316597, output_fired_time: 5.0087456703, propagate_forward_time: 303.1534118652, propagate_backward_time: 414.4638061523, weight_update_time: 0.6975204349, other_time: 7.6720886230
epoch time: 63.2975196838s, input_fired_time: 0.7529407740, output_fired_time: 0.0000000000, propagate_forward_time: 61.1974143982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3471641541
validation[          , genome 15107] predictions:    9842/  10000 (98.42%), best:    9842/10000 (98.42%), error:       510.55246, best error:       510.55246 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 742.5678710938s, input_fired_time: 6.8455963135, output_fired_time: 5.0685529709, propagate_forward_time: 305.4274597168, propagate_backward_time: 417.4902343750, weight_update_time: 0.7110753059, other_time: 7.7360534668
epoch time: 63.6116523743s, input_fired_time: 0.7566252351, output_fired_time: 0.0000000000, propagate_forward_time: 61.5088653564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3461608887
validation[          , genome 15107] predictions:    9856/  10000 (98.56%), best:    9856/10000 (98.56%), error:       456.07449, best error:       456.07449 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 745.2035522461s, input_fired_time: 6.8528013229, output_fired_time: 5.0835695267, propagate_forward_time: 306.5959472656, propagate_backward_time: 418.9064941406, weight_update_time: 0.7044599056, other_time: 7.7647705078
epoch time: 63.5304145813s, input_fired_time: 0.7543396354, output_fired_time: 0.0000000000, propagate_forward_time: 61.4340820312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3419914246
validation[          , genome 15107] predictions:    9827/  10000 (98.27%), best:    9856/10000 (98.56%), error:       606.01300, best error:       456.07449 on epoch:    22, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 741.5316162109s, input_fired_time: 6.8223152161, output_fired_time: 5.0460290909, propagate_forward_time: 304.8250427246, propagate_backward_time: 417.0765991211, weight_update_time: 0.7020668387, other_time: 7.7616271973
epoch time: 63.1909942627s, input_fired_time: 0.7518203855, output_fired_time: 0.0000000000, propagate_forward_time: 61.1007652283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3384094238
validation[          , genome 15107] predictions:    9831/  10000 (98.31%), best:    9856/10000 (98.56%), error:       532.01025, best error:       456.07449 on epoch:    22, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 745.0357055664s, input_fired_time: 6.8545870781, output_fired_time: 5.1040544510, propagate_forward_time: 306.3749084473, propagate_backward_time: 418.9973449707, weight_update_time: 0.7038278580, other_time: 7.7047729492
epoch time: 63.7721099854s, input_fired_time: 0.7513329387, output_fired_time: 0.0000000000, propagate_forward_time: 61.6670303345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3537483215
validation[          , genome 15107] predictions:    9830/  10000 (98.30%), best:    9856/10000 (98.56%), error:       511.67816, best error:       456.07449 on epoch:    22, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 725.5317382812s, input_fired_time: 6.7278056145, output_fired_time: 4.9330639839, propagate_forward_time: 298.8056945801, propagate_backward_time: 407.4382019043, weight_update_time: 0.6885331869, other_time: 7.6270141602
epoch time: 63.2338294983s, input_fired_time: 0.7511389852, output_fired_time: 0.0000000000, propagate_forward_time: 61.1357231140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3469657898
validation[          , genome 15107] predictions:    9797/  10000 (97.97%), best:    9856/10000 (98.56%), error:       635.48682, best error:       456.07449 on epoch:    22, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 743.9602661133s, input_fired_time: 6.8466138840, output_fired_time: 5.0679612160, propagate_forward_time: 305.9695739746, propagate_backward_time: 418.3190612793, weight_update_time: 0.7031902671, other_time: 7.7570800781
epoch time: 63.4256362915s, input_fired_time: 0.7641091347, output_fired_time: 0.0000000000, propagate_forward_time: 61.3073959351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3541297913
validation[          , genome 15107] predictions:    9820/  10000 (98.20%), best:    9856/10000 (98.56%), error:       517.45667, best error:       456.07449 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 746.3651123047s, input_fired_time: 6.8506855965, output_fired_time: 5.0661869049, propagate_forward_time: 306.4704284668, propagate_backward_time: 420.2448425293, weight_update_time: 0.7040572762, other_time: 7.7329711914
epoch time: 63.5625343323s, input_fired_time: 0.7551770806, output_fired_time: 0.0000000000, propagate_forward_time: 61.4568862915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3504714966
validation[          , genome 15107] predictions:    9859/  10000 (98.59%), best:    9859/10000 (98.59%), error:       410.89594, best error:       410.89594 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_22_15107.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_22_15107_2_r2081600208_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: 0.879292
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00282419
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000112968
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: 29
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 28
read number_validation_images: 10000
read best_validation_predictions: 9859
read best_validation_error: 410.896
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: 15107
read normal distribution: '1 0 0'
generator_str: '656562054'
read generator: 656562054
read generated_by_map:
1 crossover 1
reading 87 nodes.
reading 308 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: 746.16552734375s, input_fired_time: 6.91709899902344, output_fired_time: 5.11224460601807, propagate_forward_time: 306.687561035156, propagate_backward_time: 419.584442138672, weight_update_time: 0.709250330924988, other_time: 7.86416625976562
epoch time: 64.0655136108398s, input_fired_time: 0.762873649597168, output_fired_time: 0, propagate_forward_time: 61.9515953063965, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.35104370117188
validation[          , genome 15107] predictions:    9859/  10000 (98.59%), best:    9859/10000 (98.59%), error:       467.34064, best error:       410.89594 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 750.8063964844s, input_fired_time: 6.9185805321, output_fired_time: 5.1226110458, propagate_forward_time: 308.7892150879, propagate_backward_time: 422.2089843750, weight_update_time: 0.7086427212, other_time: 7.7669982910
epoch time: 64.1080245972s, input_fired_time: 0.7595689893, output_fired_time: 0.0000000000, propagate_forward_time: 62.0000000000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3484573364
validation[          , genome 15107] predictions:    9813/  10000 (98.13%), best:    9859/10000 (98.59%), error:       594.26691, best error:       410.89594 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 748.0057983398s, input_fired_time: 6.8813223839, output_fired_time: 5.0913925171, propagate_forward_time: 307.6305541992, propagate_backward_time: 420.6753540039, weight_update_time: 0.7062743306, other_time: 7.7271728516
epoch time: 63.7853813171s, input_fired_time: 0.7619541883, output_fired_time: 0.0000000000, propagate_forward_time: 61.6793022156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3441238403
validation[          , genome 15107] predictions:    9858/  10000 (98.58%), best:    9859/10000 (98.59%), error:       431.56143, best error:       410.89594 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 748.0168457031s, input_fired_time: 6.8840374947, output_fired_time: 5.1098227501, propagate_forward_time: 307.7488403320, propagate_backward_time: 420.5744628906, weight_update_time: 0.7043638229, other_time: 7.6997070312
epoch time: 63.7612228394s, input_fired_time: 0.7581551671, output_fired_time: 0.0000000000, propagate_forward_time: 61.6664581299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3366088867
validation[          , genome 15107] predictions:    9875/  10000 (98.75%), best:    9859/10000 (98.59%), error:       414.86795, best error:       410.89594 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 752.6170654297s, input_fired_time: 6.9202547073, output_fired_time: 5.1528563499, propagate_forward_time: 309.0583801270, propagate_backward_time: 423.7549438477, weight_update_time: 0.7092458010, other_time: 7.7306823730
epoch time: 64.0263748169s, input_fired_time: 0.7604693174, output_fired_time: 0.0000000000, propagate_forward_time: 61.9197654724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3461418152
validation[          , genome 15107] predictions:    9859/  10000 (98.59%), best:    9859/10000 (98.59%), error:       443.28665, best error:       410.89594 on epoch:    28, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 747.8394165039s, input_fired_time: 6.8693437576, output_fired_time: 5.0768909454, propagate_forward_time: 307.2958679199, propagate_backward_time: 420.9261474609, weight_update_time: 0.7029686570, other_time: 7.6711730957
epoch time: 63.8430404663s, input_fired_time: 0.7638899088, output_fired_time: 0.0000000000, propagate_forward_time: 61.7338752747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3452758789
validation[          , genome 15107] predictions:    9828/  10000 (98.28%), best:    9859/10000 (98.59%), error:       548.36053, best error:       410.89594 on epoch:    28, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 740.2467041016s, input_fired_time: 6.8254485130, output_fired_time: 5.0253820419, propagate_forward_time: 304.3841857910, propagate_backward_time: 416.3812255859, weight_update_time: 0.6953838468, other_time: 7.6304626465
epoch time: 63.9970512390s, input_fired_time: 0.7557290196, output_fired_time: 0.0000000000, propagate_forward_time: 61.9078102112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3335113525
validation[          , genome 15107] predictions:    9845/  10000 (98.45%), best:    9859/10000 (98.59%), error:       450.55554, best error:       410.89594 on epoch:    28, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 747.6651000977s, input_fired_time: 6.8733100891, output_fired_time: 5.0908508301, propagate_forward_time: 307.0968017578, propagate_backward_time: 420.9259338379, weight_update_time: 0.7047331333, other_time: 7.6781921387
epoch time: 63.0497856140s, input_fired_time: 0.7513831258, output_fired_time: 0.0000000000, propagate_forward_time: 60.9455070496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3528938293
validation[          , genome 15107] predictions:    9858/  10000 (98.58%), best:    9859/10000 (98.59%), error:       477.37857, best error:       410.89594 on epoch:    28, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 739.8086547852s, input_fired_time: 6.8144688606, output_fired_time: 5.0260109901, propagate_forward_time: 304.6404724121, propagate_backward_time: 415.7048034668, weight_update_time: 0.6955494881, other_time: 7.6229248047
epoch time: 62.3537864685s, input_fired_time: 0.7530362606, output_fired_time: 0.0000000000, propagate_forward_time: 60.2739791870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3267707825
validation[          , genome 15107] predictions:    9863/  10000 (98.63%), best:    9859/10000 (98.59%), error:       460.92627, best error:       410.89594 on epoch:    28, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 748.7759399414s, input_fired_time: 6.8834061623, output_fired_time: 5.0743136406, propagate_forward_time: 308.2607727051, propagate_backward_time: 420.8967285156, weight_update_time: 0.7028542757, other_time: 7.6606750488
epoch time: 63.6611595154s, input_fired_time: 0.7535495758, output_fired_time: 0.0000000000, propagate_forward_time: 61.5784225464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3291854858
validation[          , genome 15107] predictions:    9862/  10000 (98.62%), best:    9859/10000 (98.59%), error:       450.13773, best error:       410.89594 on epoch:    28, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 749.3486328125s, input_fired_time: 6.8810892105, output_fired_time: 5.0583920479, propagate_forward_time: 308.1494750977, propagate_backward_time: 421.6174316406, weight_update_time: 0.7033165097, other_time: 7.6422119141
epoch time: 63.7994270325s, input_fired_time: 0.7613512278, output_fired_time: 0.0000000000, propagate_forward_time: 61.6938285828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3442459106
validation[          , genome 15107] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       381.70020, best error:       381.70020 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 742.4016113281s, input_fired_time: 6.8548793793, output_fired_time: 5.0327820778, propagate_forward_time: 305.6974792480, propagate_backward_time: 417.1833190918, weight_update_time: 0.7000539303, other_time: 7.6331787109
epoch time: 62.6393394470s, input_fired_time: 0.7528411746, output_fired_time: 0.0000000000, propagate_forward_time: 60.5634193420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3230781555
validation[          , genome 15107] predictions:    9874/  10000 (98.74%), best:    9883/10000 (98.83%), error:       396.92673, best error:       381.70020 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 748.4472045898s, input_fired_time: 6.9057750702, output_fired_time: 5.0695390701, propagate_forward_time: 307.8915710449, propagate_backward_time: 420.8932800293, weight_update_time: 0.7035763860, other_time: 7.6870727539
epoch time: 63.7861404419s, input_fired_time: 0.7581546307, output_fired_time: 0.0000000000, propagate_forward_time: 61.6772346497, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3507499695
validation[          , genome 15107] predictions:    9868/  10000 (98.68%), best:    9883/10000 (98.83%), error:       415.07428, best error:       381.70020 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 741.6647949219s, input_fired_time: 6.8533449173, output_fired_time: 5.0623269081, propagate_forward_time: 305.2634887695, propagate_backward_time: 416.8582763672, weight_update_time: 0.6979718208, other_time: 7.6273803711
epoch time: 61.7860221863s, input_fired_time: 0.7388340831, output_fired_time: 0.0000000000, propagate_forward_time: 59.7259941101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3211936951
validation[          , genome 15107] predictions:    9868/  10000 (98.68%), best:    9883/10000 (98.83%), error:       427.34052, best error:       381.70020 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 729.1181030273s, input_fired_time: 6.7610654831, output_fired_time: 4.9820017815, propagate_forward_time: 299.1376037598, propagate_backward_time: 410.6571655273, weight_update_time: 0.6905777454, other_time: 7.5802917480
epoch time: 63.1642951965s, input_fired_time: 0.7545570135, output_fired_time: 0.0000000000, propagate_forward_time: 61.0790901184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3306465149
validation[          , genome 15107] predictions:    9864/  10000 (98.64%), best:    9883/10000 (98.83%), error:       439.82358, best error:       381.70020 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 736.4031982422s, input_fired_time: 6.8360018730, output_fired_time: 5.0395083427, propagate_forward_time: 302.4956665039, propagate_backward_time: 414.3400268555, weight_update_time: 0.6994091272, other_time: 7.6920166016
epoch time: 63.9106101990s, input_fired_time: 0.7649101615, output_fired_time: 0.0000000000, propagate_forward_time: 61.7862586975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3594398499
validation[          , genome 15107] predictions:    9869/  10000 (98.69%), best:    9883/10000 (98.83%), error:       419.40167, best error:       381.70020 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 743.2067871094s, input_fired_time: 6.8841819763, output_fired_time: 5.0785012245, propagate_forward_time: 306.0141906738, propagate_backward_time: 417.4763793945, weight_update_time: 0.7023309469, other_time: 7.7535705566
epoch time: 63.7340888977s, input_fired_time: 0.7622274160, output_fired_time: 0.0000000000, propagate_forward_time: 61.6262283325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3456344604
validation[          , genome 15107] predictions:    9881/  10000 (98.81%), best:    9883/10000 (98.83%), error:       406.11655, best error:       381.70020 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 746.1851806641s, input_fired_time: 6.8928132057, output_fired_time: 5.0825810432, propagate_forward_time: 306.3796386719, propagate_backward_time: 420.0888977051, weight_update_time: 0.7067074776, other_time: 7.7412414551
epoch time: 63.4386520386s, input_fired_time: 0.7622637749, output_fired_time: 0.0000000000, propagate_forward_time: 61.3216972351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3546905518
validation[          , genome 15107] predictions:    9884/  10000 (98.84%), best:    9883/10000 (98.83%), error:       401.08636, best error:       381.70020 on epoch:    39, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 747.6608886719s, input_fired_time: 6.8981900215, output_fired_time: 5.1059179306, propagate_forward_time: 307.3553161621, propagate_backward_time: 420.5462646484, weight_update_time: 0.7038677335, other_time: 7.7552185059
epoch time: 63.6449508667s, input_fired_time: 0.7643108964, output_fired_time: 0.0000000000, propagate_forward_time: 61.5240097046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3566284180
validation[          , genome 15107] predictions:    9867/  10000 (98.67%), best:    9883/10000 (98.83%), error:       450.20398, best error:       381.70020 on epoch:    39, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 747.2454833984s, input_fired_time: 6.9083414078, output_fired_time: 5.0941672325, propagate_forward_time: 307.1872253418, propagate_backward_time: 420.3129577637, weight_update_time: 0.7040390968, other_time: 7.7427978516
epoch time: 63.5124778748s, input_fired_time: 0.7608082891, output_fired_time: 0.0000000000, propagate_forward_time: 61.4027290344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3489418030
validation[          , genome 15107] predictions:    9882/  10000 (98.82%), best:    9883/10000 (98.83%), error:       401.74988, best error:       381.70020 on epoch:    39, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 742.1533203125s, input_fired_time: 6.8779926300, output_fired_time: 5.0752520561, propagate_forward_time: 304.9649658203, propagate_backward_time: 417.5182495117, weight_update_time: 0.7012351751, other_time: 7.7168579102
epoch time: 63.3274574280s, input_fired_time: 0.7644443512, output_fired_time: 0.0000000000, propagate_forward_time: 61.2002677917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3627433777
validation[          , genome 15107] predictions:    9847/  10000 (98.47%), best:    9883/10000 (98.83%), error:       495.55341, best error:       381.70020 on epoch:    39, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 750.2598876953s, input_fired_time: 6.9374246597, output_fired_time: 5.0743160248, propagate_forward_time: 308.4204101562, propagate_backward_time: 422.0341491699, weight_update_time: 0.7089034915, other_time: 7.7935485840
epoch time: 63.6868782043s, input_fired_time: 0.7672082782, output_fired_time: 0.0000000000, propagate_forward_time: 61.5621528625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3575172424
validation[          , genome 15107] predictions:    9873/  10000 (98.73%), best:    9883/10000 (98.83%), error:       390.04001, best error:       381.70020 on epoch:    39, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 748.0398559570s, input_fired_time: 6.9184446335, output_fired_time: 5.0814528465, propagate_forward_time: 307.3773803711, propagate_backward_time: 420.8806762695, weight_update_time: 0.7090013623, other_time: 7.7818603516
epoch time: 63.4445648193s, input_fired_time: 0.7588737011, output_fired_time: 0.0000000000, propagate_forward_time: 61.3533515930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3323402405
validation[          , genome 15107] predictions:    9880/  10000 (98.80%), best:    9883/10000 (98.83%), error:       402.64154, best error:       381.70020 on epoch:    39, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 748.5115966797s, input_fired_time: 6.9336223602, output_fired_time: 5.1215033531, propagate_forward_time: 307.6633605957, propagate_backward_time: 421.0366516113, weight_update_time: 0.7069457173, other_time: 7.7564697266
epoch time: 63.4963645935s, input_fired_time: 0.7631422877, output_fired_time: 0.0000000000, propagate_forward_time: 61.3892211914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3440017700
validation[          , genome 15107] predictions:    9889/  10000 (98.89%), best:    9889/10000 (98.89%), error:       355.96814, best error:       355.96814 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 747.2125244141s, input_fired_time: 6.9218430519, output_fired_time: 5.0878038406, propagate_forward_time: 306.6394042969, propagate_backward_time: 420.8312683105, weight_update_time: 0.7062030435, other_time: 7.7322082520
epoch time: 63.3549194336s, input_fired_time: 0.7583973408, output_fired_time: 0.0000000000, propagate_forward_time: 61.2527351379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3437881470
validation[          , genome 15107] predictions:    9888/  10000 (98.88%), best:    9889/10000 (98.89%), error:       380.88882, best error:       355.96814 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 744.4678344727s, input_fired_time: 6.8798747063, output_fired_time: 5.0734958649, propagate_forward_time: 305.6047363281, propagate_backward_time: 419.1818847656, weight_update_time: 0.7050007582, other_time: 7.7278442383
epoch time: 63.5775756836s, input_fired_time: 0.7648063302, output_fired_time: 0.0000000000, propagate_forward_time: 61.4681892395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3445816040
validation[          , genome 15107] predictions:    9884/  10000 (98.84%), best:    9889/10000 (98.89%), error:       392.26202, best error:       355.96814 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 743.3764648438s, input_fired_time: 6.8892612457, output_fired_time: 5.0633521080, propagate_forward_time: 306.0684509277, propagate_backward_time: 417.6482238770, weight_update_time: 0.6990966201, other_time: 7.7071533203
epoch time: 63.3391342163s, input_fired_time: 0.7590568662, output_fired_time: 0.0000000000, propagate_forward_time: 61.2450408936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3350372314
validation[          , genome 15107] predictions:    9887/  10000 (98.87%), best:    9889/10000 (98.89%), error:       365.43036, best error:       355.96814 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 743.3605957031s, input_fired_time: 6.8821487427, output_fired_time: 5.0896587372, propagate_forward_time: 305.5865173340, propagate_backward_time: 418.1197509766, weight_update_time: 0.7004700303, other_time: 7.6825256348
epoch time: 63.4675064087s, input_fired_time: 0.7595817447, output_fired_time: 0.0000000000, propagate_forward_time: 61.3728866577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3350372314
validation[          , genome 15107] predictions:    9900/  10000 (99.00%), best:    9900/10000 (99.00%), error:       345.95782, best error:       345.95782 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 734.1885375977s, input_fired_time: 6.8377103806, output_fired_time: 5.0188493729, propagate_forward_time: 302.0016174316, propagate_backward_time: 412.6729736328, weight_update_time: 0.6945878267, other_time: 7.6573791504
epoch time: 63.0867881775s, input_fired_time: 0.7684071064, output_fired_time: 0.0000000000, propagate_forward_time: 60.9874839783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3308982849
validation[          , genome 15107] predictions:    9888/  10000 (98.88%), best:    9900/10000 (99.00%), error:       349.16617, best error:       345.95782 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 730.7695922852s, input_fired_time: 6.8059105873, output_fired_time: 4.9997086525, propagate_forward_time: 300.5444335938, propagate_backward_time: 410.8065185547, weight_update_time: 0.6906666160, other_time: 7.6130371094
epoch time: 63.0343360901s, input_fired_time: 0.7599446177, output_fired_time: 0.0000000000, propagate_forward_time: 60.9347038269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3396873474
validation[          , genome 15107] predictions:    9861/  10000 (98.61%), best:    9900/10000 (99.00%), error:       448.73709, best error:       345.95782 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 730.8610839844s, input_fired_time: 6.8080234528, output_fired_time: 5.0082688332, propagate_forward_time: 300.3323974609, propagate_backward_time: 411.0582885742, weight_update_time: 0.6910205483, other_time: 7.6541137695
epoch time: 60.6612358093s, input_fired_time: 0.7424852252, output_fired_time: 0.0000000000, propagate_forward_time: 58.5967864990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3219642639
validation[          , genome 15107] predictions:    9882/  10000 (98.82%), best:    9900/10000 (99.00%), error:       373.26047, best error:       345.95782 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 739.9064331055s, input_fired_time: 6.8599381447, output_fired_time: 5.0915927887, propagate_forward_time: 303.9860839844, propagate_backward_time: 416.2839050293, weight_update_time: 0.6974126101, other_time: 7.6849060059
epoch time: 63.1935424805s, input_fired_time: 0.7615900040, output_fired_time: 0.0000000000, propagate_forward_time: 61.0951004028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3368530273
validation[          , genome 15107] predictions:    9885/  10000 (98.85%), best:    9900/10000 (99.00%), error:       385.46136, best error:       345.95782 on epoch:    56, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 742.9809570312s, input_fired_time: 6.8745188713, output_fired_time: 5.0612072945, propagate_forward_time: 305.8512573242, propagate_backward_time: 417.5548706055, weight_update_time: 0.6996539235, other_time: 7.6390991211
epoch time: 63.2966384888s, input_fired_time: 0.7630244493, output_fired_time: 0.0000000000, propagate_forward_time: 61.1910514832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3425636292
validation[          , genome 15107] predictions:    9893/  10000 (98.93%), best:    9893/10000 (98.93%), error:       332.17847, best error:       332.17847 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 743.0859375000s, input_fired_time: 6.8729329109, output_fired_time: 5.0401625633, propagate_forward_time: 305.8335266113, propagate_backward_time: 417.6881713867, weight_update_time: 0.6998794079, other_time: 7.6511535645
epoch time: 63.3458671570s, input_fired_time: 0.7618858814, output_fired_time: 0.0000000000, propagate_forward_time: 61.2315254211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3524551392
validation[          , genome 15107] predictions:    9884/  10000 (98.84%), best:    9893/10000 (98.93%), error:       396.97650, best error:       332.17847 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 744.5023803711s, input_fired_time: 6.9060931206, output_fired_time: 5.1136565208, propagate_forward_time: 305.9247741699, propagate_backward_time: 418.8188781738, weight_update_time: 0.7050324082, other_time: 7.7390136719
epoch time: 63.7646484375s, input_fired_time: 0.7633860707, output_fired_time: 0.0000000000, propagate_forward_time: 61.6679306030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3333320618
validation[          , genome 15107] predictions:    9884/  10000 (98.84%), best:    9893/10000 (98.93%), error:       392.56644, best error:       332.17847 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 738.2869262695s, input_fired_time: 6.8482275009, output_fired_time: 5.0475664139, propagate_forward_time: 303.7244262695, propagate_backward_time: 415.0456848145, weight_update_time: 0.6947230697, other_time: 7.6210632324
epoch time: 61.4159812927s, input_fired_time: 0.7464641333, output_fired_time: 0.0000000000, propagate_forward_time: 59.3501815796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3193359375
validation[          , genome 15107] predictions:    9889/  10000 (98.89%), best:    9893/10000 (98.93%), error:       354.65131, best error:       332.17847 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 732.9055175781s, input_fired_time: 6.8211588860, output_fired_time: 4.9942507744, propagate_forward_time: 301.4359436035, propagate_backward_time: 412.0411376953, weight_update_time: 0.6921866536, other_time: 7.6130065918
epoch time: 63.4070892334s, input_fired_time: 0.7665201426, output_fired_time: 0.0000000000, propagate_forward_time: 61.2940521240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3465156555
validation[          , genome 15107] predictions:    9894/  10000 (98.94%), best:    9893/10000 (98.93%), error:       350.75012, best error:       332.17847 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 736.9542846680s, input_fired_time: 6.8667421341, output_fired_time: 5.0487709045, propagate_forward_time: 302.8460083008, propagate_backward_time: 414.5281066895, weight_update_time: 0.6966469288, other_time: 7.6646423340
epoch time: 63.4458770752s, input_fired_time: 0.7659589648, output_fired_time: 0.0000000000, propagate_forward_time: 61.3331451416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3467712402
validation[          , genome 15107] predictions:    9889/  10000 (98.89%), best:    9893/10000 (98.93%), error:       362.18460, best error:       332.17847 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 748.9358520508s, input_fired_time: 6.9558820724, output_fired_time: 5.1337447166, propagate_forward_time: 307.6435241699, propagate_backward_time: 421.4832153320, weight_update_time: 0.7067195773, other_time: 7.7195129395
epoch time: 63.6622467041s, input_fired_time: 0.7666989565, output_fired_time: 0.0000000000, propagate_forward_time: 61.5469665527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3485794067
validation[          , genome 15107] predictions:    9890/  10000 (98.90%), best:    9893/10000 (98.93%), error:       351.90891, best error:       332.17847 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 749.2507324219s, input_fired_time: 6.9417347908, output_fired_time: 5.1287355423, propagate_forward_time: 307.9797668457, propagate_backward_time: 421.5085754395, weight_update_time: 0.7081916332, other_time: 7.6919555664
epoch time: 63.6245651245s, input_fired_time: 0.7659204602, output_fired_time: 0.0000000000, propagate_forward_time: 61.5204696655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3381767273
validation[          , genome 15107] predictions:    9891/  10000 (98.91%), best:    9893/10000 (98.93%), error:       375.25577, best error:       332.17847 on epoch:    61, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 748.2750244141s, input_fired_time: 6.9283008575, output_fired_time: 5.1389069557, propagate_forward_time: 307.5812683105, propagate_backward_time: 420.9180603027, weight_update_time: 0.7049425840, other_time: 7.7084960938
epoch time: 63.5201911926s, input_fired_time: 0.7647222281, output_fired_time: 0.0000000000, propagate_forward_time: 61.4198608398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3356094360
validation[          , genome 15107] predictions:    9890/  10000 (98.90%), best:    9893/10000 (98.93%), error:       391.60245, best error:       332.17847 on epoch:    61, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 747.2420043945s, input_fired_time: 6.9200239182, output_fired_time: 5.0812849998, propagate_forward_time: 307.5396118164, propagate_backward_time: 420.0451965332, weight_update_time: 0.7013947964, other_time: 7.6558532715
epoch time: 63.5902595520s, input_fired_time: 0.7694488764, output_fired_time: 0.0000000000, propagate_forward_time: 61.4768180847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3439941406
validation[          , genome 15107] predictions:    9902/  10000 (99.02%), best:    9893/10000 (98.93%), error:       334.08163, best error:       332.17847 on epoch:    61, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 748.4111938477s, input_fired_time: 6.9341211319, output_fired_time: 5.1173057556, propagate_forward_time: 307.9081420898, propagate_backward_time: 420.7402954102, weight_update_time: 0.7058949471, other_time: 7.7113037109
epoch time: 63.5443344116s, input_fired_time: 0.7673052549, output_fired_time: 0.0000000000, propagate_forward_time: 61.4369049072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3401260376
validation[          , genome 15107] predictions:    9897/  10000 (98.97%), best:    9893/10000 (98.93%), error:       361.33652, best error:       332.17847 on epoch:    61, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 747.9913940430s, input_fired_time: 6.9253983498, output_fired_time: 5.0843024254, propagate_forward_time: 307.8771972656, propagate_backward_time: 420.4197387695, weight_update_time: 0.7035325766, other_time: 7.6847534180
epoch time: 63.5709342957s, input_fired_time: 0.7653892040, output_fired_time: 0.0000000000, propagate_forward_time: 61.4518203735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3537254333
validation[          , genome 15107] predictions:    9892/  10000 (98.92%), best:    9893/10000 (98.93%), error:       362.38412, best error:       332.17847 on epoch:    61, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 744.9666137695s, input_fired_time: 6.9065885544, output_fired_time: 5.0822238922, propagate_forward_time: 306.5698547363, propagate_backward_time: 418.7577209473, weight_update_time: 0.6995783448, other_time: 7.6502075195
epoch time: 62.0605201721s, input_fired_time: 0.7545220852, output_fired_time: 0.0000000000, propagate_forward_time: 59.9798583984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3261413574
validation[          , genome 15107] predictions:    9900/  10000 (99.00%), best:    9900/10000 (99.00%), error:       327.46194, best error:       327.46194 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 733.6200561523s, input_fired_time: 6.8481063843, output_fired_time: 5.0274195671, propagate_forward_time: 301.5445556641, propagate_backward_time: 412.6001892090, weight_update_time: 0.6940093637, other_time: 7.5998229980
epoch time: 62.9135627747s, input_fired_time: 0.7603544593, output_fired_time: 0.0000000000, propagate_forward_time: 60.8136520386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3395576477
validation[          , genome 15107] predictions:    9892/  10000 (98.92%), best:    9900/10000 (99.00%), error:       363.25931, best error:       327.46194 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 735.5079345703s, input_fired_time: 6.8434338570, output_fired_time: 5.0346403122, propagate_forward_time: 302.4002685547, propagate_backward_time: 413.6211547852, weight_update_time: 0.6945678592, other_time: 7.6083984375
epoch time: 63.3268508911s, input_fired_time: 0.7663716078, output_fired_time: 0.0000000000, propagate_forward_time: 61.2179603577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3425178528
validation[          , genome 15107] predictions:    9903/  10000 (99.03%), best:    9900/10000 (99.00%), error:       332.71512, best error:       327.46194 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 731.7272338867s, input_fired_time: 6.8364000320, output_fired_time: 5.0033373833, propagate_forward_time: 300.4842834473, propagate_backward_time: 411.7993164062, weight_update_time: 0.6944316626, other_time: 7.6038513184
epoch time: 60.4798126221s, input_fired_time: 0.7408633828, output_fired_time: 0.0000000000, propagate_forward_time: 58.4288139343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3101348877
validation[          , genome 15107] predictions:    9899/  10000 (98.99%), best:    9900/10000 (99.00%), error:       342.63812, best error:       327.46194 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 719.7187500000s, input_fired_time: 6.7884569168, output_fired_time: 4.9241814613, propagate_forward_time: 295.8489074707, propagate_backward_time: 404.6308593750, weight_update_time: 0.6828813553, other_time: 7.5263366699
epoch time: 62.3139076233s, input_fired_time: 0.7568326592, output_fired_time: 0.0000000000, propagate_forward_time: 60.2226295471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3344459534
validation[          , genome 15107] predictions:    9875/  10000 (98.75%), best:    9900/10000 (99.00%), error:       415.80209, best error:       327.46194 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 733.4812011719s, input_fired_time: 6.8386240005, output_fired_time: 5.0012168884, propagate_forward_time: 301.6674804688, propagate_backward_time: 412.3613891602, weight_update_time: 0.6928638220, other_time: 7.6124877930
epoch time: 63.0334396362s, input_fired_time: 0.7611519694, output_fired_time: 0.0000000000, propagate_forward_time: 60.9313354492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3409538269
validation[          , genome 15107] predictions:    9886/  10000 (98.86%), best:    9900/10000 (99.00%), error:       355.15765, best error:       327.46194 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 732.2277832031s, input_fired_time: 6.8385782242, output_fired_time: 5.0147609711, propagate_forward_time: 300.9864196777, propagate_backward_time: 411.7887268066, weight_update_time: 0.6910737157, other_time: 7.5993041992
epoch time: 63.2426452637s, input_fired_time: 0.7655552626, output_fired_time: 0.0000000000, propagate_forward_time: 61.1375846863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3395042419
validation[          , genome 15107] predictions:    9894/  10000 (98.94%), best:    9900/10000 (99.00%), error:       328.55649, best error:       327.46194 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 735.7960205078s, input_fired_time: 6.8731794357, output_fired_time: 5.0369791985, propagate_forward_time: 302.3880920410, propagate_backward_time: 413.8744812012, weight_update_time: 0.6950791478, other_time: 7.6232910156
epoch time: 63.1964416504s, input_fired_time: 0.7665756941, output_fired_time: 0.0000000000, propagate_forward_time: 61.0989074707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3309593201
validation[          , genome 15107] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       321.76303, best error:       321.76303 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 731.7123413086s, input_fired_time: 6.8592510223, output_fired_time: 5.0256543159, propagate_forward_time: 300.6311645508, propagate_backward_time: 411.6051635742, weight_update_time: 0.6928002834, other_time: 7.5911254883
epoch time: 62.4230537415s, input_fired_time: 0.7605802417, output_fired_time: 0.0000000000, propagate_forward_time: 60.3405838013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3218879700
validation[          , genome 15107] predictions:    9900/  10000 (99.00%), best:    9902/10000 (99.02%), error:       329.24411, best error:       321.76303 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 742.6545410156s, input_fired_time: 6.9120411873, output_fired_time: 5.0700778961, propagate_forward_time: 305.3158569336, propagate_backward_time: 417.6923217773, weight_update_time: 0.6983872652, other_time: 7.6642456055
epoch time: 63.2696342468s, input_fired_time: 0.7637581229, output_fired_time: 0.0000000000, propagate_forward_time: 61.1775321960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3283424377
validation[          , genome 15107] predictions:    9895/  10000 (98.95%), best:    9902/10000 (99.02%), error:       347.16571, best error:       321.76303 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 723.5772094727s, input_fired_time: 6.7929472923, output_fired_time: 4.9588227272, propagate_forward_time: 297.6353149414, propagate_backward_time: 406.6386413574, weight_update_time: 0.6839452386, other_time: 7.5514831543
epoch time: 63.0646591187s, input_fired_time: 0.7625076771, output_fired_time: 0.0000000000, propagate_forward_time: 60.9703903198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3317604065
validation[          , genome 15107] predictions:    9894/  10000 (98.94%), best:    9902/10000 (99.02%), error:       350.39789, best error:       321.76303 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 736.0969238281s, input_fired_time: 6.8804926872, output_fired_time: 5.0407905579, propagate_forward_time: 302.6132812500, propagate_backward_time: 413.9275817871, weight_update_time: 0.6941360235, other_time: 7.6347961426
epoch time: 61.0056114197s, input_fired_time: 0.7454558015, output_fired_time: 0.0000000000, propagate_forward_time: 58.9400711060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3200836182
validation[          , genome 15107] predictions:    9901/  10000 (99.01%), best:    9902/10000 (99.02%), error:       347.43896, best error:       321.76303 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 731.2741088867s, input_fired_time: 6.8328061104, output_fired_time: 5.0022039413, propagate_forward_time: 300.7217102051, propagate_backward_time: 411.1252746582, weight_update_time: 0.6911688447, other_time: 7.5921020508
epoch time: 63.0041618347s, input_fired_time: 0.7637225389, output_fired_time: 0.0000000000, propagate_forward_time: 60.9100532532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3303871155
validation[          , genome 15107] predictions:    9906/  10000 (99.06%), best:    9902/10000 (99.02%), error:       337.54498, best error:       321.76303 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 733.8408813477s, input_fired_time: 6.8645682335, output_fired_time: 5.0309314728, propagate_forward_time: 301.7586975098, propagate_backward_time: 412.5632934570, weight_update_time: 0.6927745342, other_time: 7.6233825684
epoch time: 63.1191406250s, input_fired_time: 0.7713402510, output_fired_time: 0.0000000000, propagate_forward_time: 61.0072937012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3405075073
validation[          , genome 15107] predictions:    9894/  10000 (98.94%), best:    9902/10000 (99.02%), error:       365.53925, best error:       321.76303 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 725.9326171875s, input_fired_time: 6.8076114655, output_fired_time: 4.9526062012, propagate_forward_time: 298.4726867676, propagate_backward_time: 408.1381835938, weight_update_time: 0.6855677962, other_time: 7.5614929199
epoch time: 61.9273147583s, input_fired_time: 0.7536543012, output_fired_time: 0.0000000000, propagate_forward_time: 59.8632621765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3103981018
validation[          , genome 15107] predictions:    9896/  10000 (98.96%), best:    9902/10000 (99.02%), error:       352.38770, best error:       321.76303 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 727.9058227539s, input_fired_time: 6.8328809738, output_fired_time: 5.0044946671, propagate_forward_time: 298.8513183594, propagate_backward_time: 409.5944824219, weight_update_time: 0.6918598413, other_time: 7.6226196289
epoch time: 61.5942573547s, input_fired_time: 0.7577582002, output_fired_time: 0.0000000000, propagate_forward_time: 59.5107536316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3257446289
validation[          , genome 15107] predictions:    9905/  10000 (99.05%), best:    9902/10000 (99.02%), error:       333.54428, best error:       321.76303 on epoch:    80, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 726.5508422852s, input_fired_time: 6.8771758080, output_fired_time: 5.0053243637, propagate_forward_time: 299.1768798828, propagate_backward_time: 407.5424499512, weight_update_time: 0.6995062232, other_time: 7.9490051270
epoch time: 60.6836280823s, input_fired_time: 0.7987667918, output_fired_time: 0.0000000000, propagate_forward_time: 58.4400253296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4448356628
validation[          , genome 15107] predictions:    9898/  10000 (98.98%), best:    9902/10000 (99.02%), error:       340.88544, best error:       321.76303 on epoch:    80, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 698.3273315430s, input_fired_time: 6.7175960541, output_fired_time: 4.8880624771, propagate_forward_time: 286.3729248047, propagate_backward_time: 391.9993591309, weight_update_time: 0.7068550587, other_time: 8.3493957520
epoch time: 60.7608909607s, input_fired_time: 0.7905908823, output_fired_time: 0.0000000000, propagate_forward_time: 58.5021934509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4681053162
validation[          , genome 15107] predictions:    9900/  10000 (99.00%), best:    9902/10000 (99.02%), error:       356.67212, best error:       321.76303 on epoch:    80, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 704.9184570312s, input_fired_time: 6.7861428261, output_fired_time: 4.9287414551, propagate_forward_time: 289.5421447754, propagate_backward_time: 395.2581481934, weight_update_time: 0.7104694843, other_time: 8.4033203125
epoch time: 61.0602455139s, input_fired_time: 0.7964488268, output_fired_time: 0.0000000000, propagate_forward_time: 58.7807006836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4830970764
validation[          , genome 15107] predictions:    9907/  10000 (99.07%), best:    9902/10000 (99.02%), error:       328.06122, best error:       321.76303 on epoch:    80, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 713.8563842773s, input_fired_time: 6.8263678551, output_fired_time: 4.9780921936, propagate_forward_time: 292.6827087402, propagate_backward_time: 400.9163818359, weight_update_time: 0.7174902558, other_time: 8.4528503418
epoch time: 61.4242057800s, input_fired_time: 0.8106702566, output_fired_time: 0.0000000000, propagate_forward_time: 59.1345558167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4789810181
validation[          , genome 15107] predictions:    9901/  10000 (99.01%), best:    9902/10000 (99.02%), error:       343.52008, best error:       321.76303 on epoch:    80, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 714.2659912109s, input_fired_time: 6.8372268677, output_fired_time: 5.0267853737, propagate_forward_time: 292.9646606445, propagate_backward_time: 401.0681762695, weight_update_time: 0.7203477025, other_time: 8.3691406250
epoch time: 60.8666114807s, input_fired_time: 0.8012452126, output_fired_time: 0.0000000000, propagate_forward_time: 58.5963897705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4689750671
validation[          , genome 15107] predictions:    9910/  10000 (99.10%), best:    9902/10000 (99.02%), error:       333.80206, best error:       321.76303 on epoch:    80, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 714.1207275391s, input_fired_time: 6.8568477631, output_fired_time: 4.9929304123, propagate_forward_time: 293.1498718262, propagate_backward_time: 400.7384948730, weight_update_time: 0.7196240425, other_time: 8.3825683594
epoch time: 60.7196350098s, input_fired_time: 0.7966827154, output_fired_time: 0.0000000000, propagate_forward_time: 58.4605178833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4624328613
validation[          , genome 15107] predictions:    9899/  10000 (98.99%), best:    9902/10000 (99.02%), error:       321.83359, best error:       321.76303 on epoch:    80, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 713.3642578125s, input_fired_time: 6.8269424438, output_fired_time: 4.9637098312, propagate_forward_time: 292.8040771484, propagate_backward_time: 400.3655700684, weight_update_time: 0.7179498672, other_time: 8.4039611816
epoch time: 61.0420532227s, input_fired_time: 0.8014867902, output_fired_time: 0.0000000000, propagate_forward_time: 58.7585334778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4820327759
validation[          , genome 15107] predictions:    9904/  10000 (99.04%), best:    9902/10000 (99.02%), error:       322.73907, best error:       321.76303 on epoch:    80, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 713.0835571289s, input_fired_time: 6.8103179932, output_fired_time: 4.9357619286, propagate_forward_time: 292.7532043457, propagate_backward_time: 400.1281433105, weight_update_time: 0.7134501338, other_time: 8.4561157227
epoch time: 61.3421669006s, input_fired_time: 0.7986600399, output_fired_time: 0.0000000000, propagate_forward_time: 59.0648612976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4786453247
validation[          , genome 15107] predictions:    9909/  10000 (99.09%), best:    9902/10000 (99.02%), error:       322.77902, best error:       321.76303 on epoch:    80, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 713.6668701172s, input_fired_time: 6.8304386139, output_fired_time: 5.0036945343, propagate_forward_time: 292.8022460938, propagate_backward_time: 400.6116943359, weight_update_time: 0.7140018940, other_time: 8.4187622070
epoch time: 60.7842063904s, input_fired_time: 0.8006371856, output_fired_time: 0.0000000000, propagate_forward_time: 58.5093460083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4742240906
validation[          , genome 15107] predictions:    9903/  10000 (99.03%), best:    9902/10000 (99.02%), error:       331.19757, best error:       321.76303 on epoch:    80, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 713.9239501953s, input_fired_time: 6.8294754028, output_fired_time: 5.0022282600, propagate_forward_time: 292.7265625000, propagate_backward_time: 401.0065612793, weight_update_time: 0.7124038935, other_time: 8.3591003418
epoch time: 60.6534729004s, input_fired_time: 0.8002924323, output_fired_time: 0.0000000000, propagate_forward_time: 58.4111671448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4420127869
validation[          , genome 15107] predictions:    9903/  10000 (99.03%), best:    9902/10000 (99.02%), error:       335.41074, best error:       321.76303 on epoch:    80, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 713.3114013672s, input_fired_time: 6.8082251549, output_fired_time: 4.9774031639, propagate_forward_time: 292.4996948242, propagate_backward_time: 400.7238464355, weight_update_time: 0.7138527036, other_time: 8.3022155762
epoch time: 60.8284873962s, input_fired_time: 0.7930833697, output_fired_time: 0.0000000000, propagate_forward_time: 58.5935058594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4418983459
validation[          , genome 15107] predictions:    9891/  10000 (98.91%), best:    9902/10000 (99.02%), error:       357.08154, best error:       321.76303 on epoch:    80, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 708.1115112305s, input_fired_time: 6.7953743935, output_fired_time: 4.9471931458, propagate_forward_time: 290.5103759766, propagate_backward_time: 397.5643005371, weight_update_time: 0.7066981792, other_time: 8.2942810059
epoch time: 58.7312355042s, input_fired_time: 0.7834190726, output_fired_time: 0.0000000000, propagate_forward_time: 56.5246353149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4231796265
validation[          , genome 15107] predictions:    9901/  10000 (99.01%), best:    9902/10000 (99.02%), error:       329.32571, best error:       321.76303 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: 304.4734802246s, input_fired_time: 3.9952285290, output_fired_time: 0.0000000000, propagate_forward_time: 293.0343017578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.4439392090
best training[          , genome 15107] predictions:   50000/  50000 (100.00%), best:    9902/10000 (99.02%), error:        99.91016, best error:       321.76303 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: 60.8112220764s, input_fired_time: 0.7914055586, output_fired_time: 0.0000000000, propagate_forward_time: 58.4903678894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5294494629
   testing[          , genome 15107] predictions:    9896/  10000 (98.96%), best:    9902/10000 (99.02%), error:       326.56232, best error:       321.76303 on epoch:    80, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
17:33:02 (68496): called boinc_finish(0)

</stderr_txt>
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