Nameexact_genome_1542229504_176_5929_4
Workunit4089587
Created25 Dec 2018, 3:34:53 UTC
Sent25 Dec 2018, 3:35:05 UTC
Report deadline3 Feb 2019, 5:43:08 UTC
Received28 Dec 2018, 7:54:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time14 hours 21 min 39 sec
CPU time14 hours 11 min 43 sec
Validate stateValid
Credit10,022.23
Device peak FLOPS4.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size512.13 MB
Peak swap size509.81 MB
Peak disk usage9.85 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542229504_176_5929.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542229504_176_5929_4_r1193604390_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542229504_176_5929.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 5929
read normal distribution: '1 -1.55443274974823 -1.21932256221771'
generator_str: '1301083980'
read generator: 1301083980
read generated_by_map:
1 change_size_y 1
reading 79 nodes.
reading 306 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1639958106
post shuffle 1: 1868754432
epoch time: 988.079528808594s, input_fired_time: 6.54149770736694, output_fired_time: 6.12552404403687, propagate_forward_time: 373.285247802734, propagate_backward_time: 592.93212890625, weight_update_time: 1.01977467536926, other_time: 9.195068359375
epoch time: 76.7451705932617s, input_fired_time: 0.818836569786072, output_fired_time: 0, propagate_forward_time: 74.3429565429688, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.5833740234375
validation[          , genome  5929] predictions:    4414/  10000 (44.14%), best:    4414/10000 (44.14%), error:     21798.72461, best error:     21798.72461 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 988.3779296875s, input_fired_time: 6.5444178581, output_fired_time: 6.1483812332, propagate_forward_time: 375.2895202637, propagate_backward_time: 591.1654052734, weight_update_time: 1.0198019743, other_time: 9.2302246094
epoch time: 77.5899658203s, input_fired_time: 0.8204287887, output_fired_time: 0.0000000000, propagate_forward_time: 75.1919021606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5776367188
validation[          , genome  5929] predictions:    4952/  10000 (49.52%), best:    4952/10000 (49.52%), error:     17429.55664, best error:     17429.55664 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 988.9130859375s, input_fired_time: 6.4915461540, output_fired_time: 6.1490683556, propagate_forward_time: 373.5951843262, propagate_backward_time: 593.4640502930, weight_update_time: 1.0259749889, other_time: 9.2133178711
epoch time: 76.3675384521s, input_fired_time: 0.7926249504, output_fired_time: 0.0000000000, propagate_forward_time: 73.9886474609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5862655640
validation[          , genome  5929] predictions:    5049/  10000 (50.49%), best:    5049/10000 (50.49%), error:     15752.30762, best error:     15752.30762 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 985.6088256836s, input_fired_time: 6.5031075478, output_fired_time: 6.1922836304, propagate_forward_time: 373.4903259277, propagate_backward_time: 590.2025146484, weight_update_time: 1.0232517719, other_time: 9.2205810547
epoch time: 77.5457687378s, input_fired_time: 0.8093553185, output_fired_time: 0.0000000000, propagate_forward_time: 75.1442565918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5921554565
validation[          , genome  5929] predictions:    5062/  10000 (50.62%), best:    5049/10000 (50.49%), error:     15814.96680, best error:     15752.30762 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 917.8171386719s, input_fired_time: 6.1619973183, output_fired_time: 5.7311592102, propagate_forward_time: 344.1751098633, propagate_backward_time: 552.8984375000, weight_update_time: 0.9847063422, other_time: 8.8504638672
epoch time: 68.5844192505s, input_fired_time: 0.7366818190, output_fired_time: 0.0000000000, propagate_forward_time: 66.3531341553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4946060181
validation[          , genome  5929] predictions:    4882/  10000 (48.82%), best:    5049/10000 (50.49%), error:     16047.92090, best error:     15752.30762 on epoch:     2, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 831.9989624023s, input_fired_time: 5.8264441490, output_fired_time: 5.2351508141, propagate_forward_time: 310.9099731445, propagate_backward_time: 501.5506286621, weight_update_time: 0.9298262000, other_time: 8.4767761230
epoch time: 62.4540176392s, input_fired_time: 0.6946701407, output_fired_time: 0.0000000000, propagate_forward_time: 60.3216247559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4377212524
validation[          , genome  5929] predictions:    5053/  10000 (50.53%), best:    5049/10000 (50.49%), error:     16230.57617, best error:     15752.30762 on epoch:     2, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 804.0779418945s, input_fired_time: 5.6984686852, output_fired_time: 5.0784826279, propagate_forward_time: 299.5633544922, propagate_backward_time: 485.3633117676, weight_update_time: 0.9176036716, other_time: 8.3742980957
epoch time: 61.0922126770s, input_fired_time: 0.6838422418, output_fired_time: 0.0000000000, propagate_forward_time: 58.9930191040, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4153518677
validation[          , genome  5929] predictions:    5079/  10000 (50.79%), best:    5049/10000 (50.49%), error:     15852.50781, best error:     15752.30762 on epoch:     2, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 809.7258300781s, input_fired_time: 5.7341094017, output_fired_time: 5.1580705643, propagate_forward_time: 301.0914916992, propagate_backward_time: 489.3613891602, weight_update_time: 0.9183362722, other_time: 8.3807373047
epoch time: 63.1564826965s, input_fired_time: 0.6910392046, output_fired_time: 0.0000000000, propagate_forward_time: 61.0527076721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4127349854
validation[          , genome  5929] predictions:    4922/  10000 (49.22%), best:    5049/10000 (50.49%), error:     15929.39941, best error:     15752.30762 on epoch:     2, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 814.4013671875s, input_fired_time: 5.7509546280, output_fired_time: 5.1497950554, propagate_forward_time: 303.6385498047, propagate_backward_time: 491.4390258789, weight_update_time: 0.9270372987, other_time: 8.4230346680
epoch time: 61.9987220764s, input_fired_time: 0.6937569976, output_fired_time: 0.0000000000, propagate_forward_time: 59.8825569153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4224090576
validation[          , genome  5929] predictions:    5089/  10000 (50.89%), best:    5089/10000 (50.89%), error:     14977.89063, best error:     14977.89063 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 813.5754394531s, input_fired_time: 5.7340502739, output_fired_time: 5.1089391708, propagate_forward_time: 302.3876037598, propagate_backward_time: 491.9328613281, weight_update_time: 0.9223860502, other_time: 8.4119567871
epoch time: 61.5729026794s, input_fired_time: 0.6852877736, output_fired_time: 0.0000000000, propagate_forward_time: 59.4474945068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4401206970
validation[          , genome  5929] predictions:    5026/  10000 (50.26%), best:    5089/10000 (50.89%), error:     15667.93457, best error:     14977.89063 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 775.1831665039s, input_fired_time: 5.5710053444, output_fired_time: 4.9660272598, propagate_forward_time: 286.9743957520, propagate_backward_time: 469.4535217285, weight_update_time: 0.8995749354, other_time: 8.2182617188
epoch time: 57.4388389587s, input_fired_time: 0.6647859216, output_fired_time: 0.0000000000, propagate_forward_time: 55.3897209167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3843307495
validation[          , genome  5929] predictions:    5335/  10000 (53.35%), best:    5335/10000 (53.35%), error:     14537.18750, best error:     14537.18750 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 748.4422607422s, input_fired_time: 5.4690437317, output_fired_time: 4.8043699265, propagate_forward_time: 276.3119506836, propagate_backward_time: 453.7522888184, weight_update_time: 0.8857420683, other_time: 8.1045837402
epoch time: 57.4467811584s, input_fired_time: 0.6589426398, output_fired_time: 0.0000000000, propagate_forward_time: 55.4262886047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3615493774
validation[          , genome  5929] predictions:    5135/  10000 (51.35%), best:    5335/10000 (53.35%), error:     15332.11816, best error:     14537.18750 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 749.2507934570s, input_fired_time: 5.4892830849, output_fired_time: 4.7977576256, propagate_forward_time: 276.8362426758, propagate_backward_time: 454.0232849121, weight_update_time: 0.8925213218, other_time: 8.1042785645
epoch time: 57.0891876221s, input_fired_time: 0.6522020698, output_fired_time: 0.0000000000, propagate_forward_time: 55.0776634216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3593215942
validation[          , genome  5929] predictions:    5238/  10000 (52.38%), best:    5238/10000 (52.38%), error:     14356.85352, best error:     14356.85352 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 743.6008300781s, input_fired_time: 5.4834008217, output_fired_time: 4.7555637360, propagate_forward_time: 275.0108337402, propagate_backward_time: 450.3497314453, weight_update_time: 0.8719918728, other_time: 8.0013122559
epoch time: 57.0014228821s, input_fired_time: 0.6621141434, output_fired_time: 0.0000000000, propagate_forward_time: 54.9576301575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3816795349
validation[          , genome  5929] predictions:    5421/  10000 (54.21%), best:    5421/10000 (54.21%), error:     13909.90625, best error:     13909.90625 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 747.3629760742s, input_fired_time: 5.4944849014, output_fired_time: 4.7834525108, propagate_forward_time: 275.2331237793, propagate_backward_time: 453.8109130859, weight_update_time: 0.8828096986, other_time: 8.0409851074
epoch time: 57.0776824951s, input_fired_time: 0.6594923735, output_fired_time: 0.0000000000, propagate_forward_time: 55.0640678406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3541221619
validation[          , genome  5929] predictions:    5457/  10000 (54.57%), best:    5421/10000 (54.21%), error:     14099.71094, best error:     13909.90625 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 744.3808593750s, input_fired_time: 5.4946427345, output_fired_time: 4.7598037720, propagate_forward_time: 275.5100402832, propagate_backward_time: 450.6270141602, weight_update_time: 0.8792418838, other_time: 7.9893493652
epoch time: 56.2438545227s, input_fired_time: 0.6613585949, output_fired_time: 0.0000000000, propagate_forward_time: 54.2120895386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3704071045
validation[          , genome  5929] predictions:    5281/  10000 (52.81%), best:    5421/10000 (54.21%), error:     14695.86719, best error:     13909.90625 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 740.3843383789s, input_fired_time: 5.4666204453, output_fired_time: 4.7528743744, propagate_forward_time: 273.0532531738, propagate_backward_time: 449.1161804199, weight_update_time: 0.8758457303, other_time: 7.9954223633
epoch time: 58.0080947876s, input_fired_time: 0.6731090546, output_fired_time: 0.0000000000, propagate_forward_time: 55.9792366028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3557472229
validation[          , genome  5929] predictions:    5412/  10000 (54.12%), best:    5412/10000 (54.12%), error:     13897.80859, best error:     13897.80859 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 745.3352661133s, input_fired_time: 5.5096864700, output_fired_time: 4.8067498207, propagate_forward_time: 274.8135681152, propagate_backward_time: 452.1425781250, weight_update_time: 0.8823722005, other_time: 8.0626525879
epoch time: 56.9594154358s, input_fired_time: 0.6535817981, output_fired_time: 0.0000000000, propagate_forward_time: 54.9143638611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3914680481
validation[          , genome  5929] predictions:    5456/  10000 (54.56%), best:    5412/10000 (54.12%), error:     13937.25879, best error:     13897.80859 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 748.8240966797s, input_fired_time: 5.5121984482, output_fired_time: 4.7974700928, propagate_forward_time: 275.7973632813, propagate_backward_time: 454.6210327148, weight_update_time: 0.8840404153, other_time: 8.0960083008
epoch time: 60.0756988525s, input_fired_time: 0.6839445233, output_fired_time: 0.0000000000, propagate_forward_time: 57.9774246216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4143295288
validation[          , genome  5929] predictions:    5173/  10000 (51.73%), best:    5412/10000 (54.12%), error:     15257.30762, best error:     13897.80859 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 767.8884277344s, input_fired_time: 5.6464552879, output_fired_time: 4.8803076744, propagate_forward_time: 284.0449523926, propagate_backward_time: 465.0173339844, weight_update_time: 0.9033259153, other_time: 8.2993469238
epoch time: 59.2448348999s, input_fired_time: 0.6890851855, output_fired_time: 0.0000000000, propagate_forward_time: 57.1492919922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4064559937
validation[          , genome  5929] predictions:    5185/  10000 (51.85%), best:    5412/10000 (54.12%), error:     15354.03125, best error:     13897.80859 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 769.4000854492s, input_fired_time: 5.6502370834, output_fired_time: 4.9590115547, propagate_forward_time: 284.2188110352, propagate_backward_time: 466.3031311035, weight_update_time: 0.9035290480, other_time: 8.2689514160
epoch time: 59.1266441345s, input_fired_time: 0.6830691099, output_fired_time: 0.0000000000, propagate_forward_time: 57.0448303223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3987464905
validation[          , genome  5929] predictions:    5280/  10000 (52.80%), best:    5412/10000 (54.12%), error:     14725.02539, best error:     13897.80859 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 763.5050659180s, input_fired_time: 5.6270012856, output_fired_time: 4.9183874130, propagate_forward_time: 282.3474426270, propagate_backward_time: 462.4047546387, weight_update_time: 0.8989357352, other_time: 8.2074584961
epoch time: 58.5231666565s, input_fired_time: 0.6937608719, output_fired_time: 0.0000000000, propagate_forward_time: 56.4211807251, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4082260132
validation[          , genome  5929] predictions:    5243/  10000 (52.43%), best:    5412/10000 (54.12%), error:     15153.53809, best error:     13897.80859 on epoch:    16, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 877.9135131836s, input_fired_time: 6.1480259895, output_fired_time: 5.5901999474, propagate_forward_time: 328.4382324219, propagate_backward_time: 528.9301757813, weight_update_time: 0.9665559530, other_time: 8.8068847656
epoch time: 79.5890045166s, input_fired_time: 0.8439154029, output_fired_time: 0.0000000000, propagate_forward_time: 77.1252288818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6198577881
validation[          , genome  5929] predictions:    5429/  10000 (54.29%), best:    5412/10000 (54.12%), error:     14152.73438, best error:     13897.80859 on epoch:    16, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1016.9300537109s, input_fired_time: 6.7406992912, output_fired_time: 6.3232612610, propagate_forward_time: 385.6012573242, propagate_backward_time: 608.8165283203, weight_update_time: 1.0410966873, other_time: 9.4483032227
epoch time: 79.5719604492s, input_fired_time: 0.8444451690, output_fired_time: 0.0000000000, propagate_forward_time: 77.1082077026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6193084717
validation[          , genome  5929] predictions:    5538/  10000 (55.38%), best:    5538/10000 (55.38%), error:     13674.98145, best error:     13674.98145 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1017.3666381836s, input_fired_time: 6.7480273247, output_fired_time: 6.3032503128, propagate_forward_time: 385.6653137207, propagate_backward_time: 609.2280883789, weight_update_time: 1.0468626022, other_time: 9.4219360352
epoch time: 79.4649429321s, input_fired_time: 0.8440078497, output_fired_time: 0.0000000000, propagate_forward_time: 77.0144577026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6064758301
validation[          , genome  5929] predictions:    5464/  10000 (54.64%), best:    5538/10000 (55.38%), error:     13742.32813, best error:     13674.98145 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1019.2945556641s, input_fired_time: 6.7462553978, output_fired_time: 6.3589444160, propagate_forward_time: 386.7178039551, propagate_backward_time: 609.9846801758, weight_update_time: 1.0510560274, other_time: 9.4868774414
epoch time: 79.7856292725s, input_fired_time: 0.8513964415, output_fired_time: 0.0000000000, propagate_forward_time: 77.2842559814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6499786377
validation[          , genome  5929] predictions:    5689/  10000 (56.89%), best:    5689/10000 (56.89%), error:     13198.46875, best error:     13198.46875 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1026.5941162109s, input_fired_time: 6.8122396469, output_fired_time: 6.4273591042, propagate_forward_time: 389.7301635742, propagate_backward_time: 614.0820922852, weight_update_time: 1.0594732761, other_time: 9.5422363281
epoch time: 80.5163192749s, input_fired_time: 0.8689837456, output_fired_time: 0.0000000000, propagate_forward_time: 77.9808273315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6665115356
validation[          , genome  5929] predictions:    5446/  10000 (54.46%), best:    5689/10000 (56.89%), error:     13894.76367, best error:     13198.46875 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1021.6931152344s, input_fired_time: 6.8157925606, output_fired_time: 6.3291997910, propagate_forward_time: 387.4790344238, propagate_backward_time: 611.4921264648, weight_update_time: 1.0474673510, other_time: 9.5769653320
epoch time: 79.2842712402s, input_fired_time: 0.8565848470, output_fired_time: 0.0000000000, propagate_forward_time: 76.7624816895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6652069092
validation[          , genome  5929] predictions:    5610/  10000 (56.10%), best:    5689/10000 (56.89%), error:     13413.96875, best error:     13198.46875 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1034.6798095703s, input_fired_time: 6.8934917450, output_fired_time: 6.4611449242, propagate_forward_time: 393.6864013672, propagate_backward_time: 617.8276367188, weight_update_time: 1.0721427202, other_time: 9.8112182617
epoch time: 78.1720962524s, input_fired_time: 0.8520649076, output_fired_time: 0.0000000000, propagate_forward_time: 75.6853713989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6346588135
validation[          , genome  5929] predictions:    5710/  10000 (57.10%), best:    5689/10000 (56.89%), error:     13359.21484, best error:     13198.46875 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 995.6946411133s, input_fired_time: 6.6863698959, output_fired_time: 6.2079038620, propagate_forward_time: 376.9771728516, propagate_backward_time: 596.4442138672, weight_update_time: 1.0395777225, other_time: 9.3790283203
epoch time: 80.8632507324s, input_fired_time: 0.8680062294, output_fired_time: 0.0000000000, propagate_forward_time: 78.2955703735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6996765137
validation[          , genome  5929] predictions:    5504/  10000 (55.04%), best:    5689/10000 (56.89%), error:     13781.52441, best error:     13198.46875 on epoch:    25, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1032.7947998047s, input_fired_time: 6.9444870949, output_fired_time: 6.4643440247, propagate_forward_time: 390.7452087402, propagate_backward_time: 618.7651367188, weight_update_time: 1.0706809759, other_time: 9.8756103516
epoch time: 79.0246047974s, input_fired_time: 0.8506181240, output_fired_time: 0.0000000000, propagate_forward_time: 76.5298309326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6441574097
validation[          , genome  5929] predictions:    5553/  10000 (55.53%), best:    5689/10000 (56.89%), error:     13337.31641, best error:     13198.46875 on epoch:    25, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1020.6016235352s, input_fired_time: 6.8834853172, output_fired_time: 6.3977017403, propagate_forward_time: 386.1072998047, propagate_backward_time: 611.5653686523, weight_update_time: 1.0620049238, other_time: 9.6477661133
epoch time: 79.2912673950s, input_fired_time: 0.8609279990, output_fired_time: 0.0000000000, propagate_forward_time: 76.7801666260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6501693726
validation[          , genome  5929] predictions:    5800/  10000 (58.00%), best:    5800/10000 (58.00%), error:     12848.32227, best error:     12848.32227 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1014.0264892578s, input_fired_time: 6.8226037025, output_fired_time: 6.3457427025, propagate_forward_time: 383.6926269531, propagate_backward_time: 607.5388793945, weight_update_time: 1.0602020025, other_time: 9.6265869141
epoch time: 82.8779296875s, input_fired_time: 0.8794639707, output_fired_time: 0.0000000000, propagate_forward_time: 80.2739105225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7245559692
validation[          , genome  5929] predictions:    5693/  10000 (56.93%), best:    5800/10000 (58.00%), error:     13141.86328, best error:     12848.32227 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1017.2868652344s, input_fired_time: 6.8529834747, output_fired_time: 6.3596434593, propagate_forward_time: 385.5325927734, propagate_backward_time: 608.9364013672, weight_update_time: 1.0555763245, other_time: 9.6052856445
epoch time: 79.8982925415s, input_fired_time: 0.8647021651, output_fired_time: 0.0000000000, propagate_forward_time: 77.3327407837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7008514404
validation[          , genome  5929] predictions:    5787/  10000 (57.87%), best:    5787/10000 (57.87%), error:     12772.10645, best error:     12772.10645 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1017.4421386719s, input_fired_time: 6.8432769775, output_fired_time: 6.4074506760, propagate_forward_time: 385.0457153320, propagate_backward_time: 609.4815673828, weight_update_time: 1.0841239691, other_time: 9.6641235352
epoch time: 79.2877655029s, input_fired_time: 0.8502085805, output_fired_time: 0.0000000000, propagate_forward_time: 76.7797393799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6578140259
validation[          , genome  5929] predictions:    5714/  10000 (57.14%), best:    5787/10000 (57.87%), error:     13317.75000, best error:     12772.10645 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1137.4637451172s, input_fired_time: 7.4624290466, output_fired_time: 8.3379898071, propagate_forward_time: 423.2728881836, propagate_backward_time: 687.2534790039, weight_update_time: 1.1371924877, other_time: 11.1369628906
epoch time: 79.0251007080s, input_fired_time: 0.8560768962, output_fired_time: 0.0000000000, propagate_forward_time: 76.5113449097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6576766968
validation[          , genome  5929] predictions:    5604/  10000 (56.04%), best:    5787/10000 (57.87%), error:     13300.80762, best error:     12772.10645 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1012.1692504883s, input_fired_time: 6.8405575752, output_fired_time: 6.3413095474, propagate_forward_time: 383.1791992188, propagate_backward_time: 606.2061157227, weight_update_time: 1.0528404713, other_time: 9.6020507813
epoch time: 79.0014114380s, input_fired_time: 0.8673720956, output_fired_time: 0.0000000000, propagate_forward_time: 76.4655685425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6684722900
validation[          , genome  5929] predictions:    5715/  10000 (57.15%), best:    5787/10000 (57.87%), error:     13197.07227, best error:     12772.10645 on epoch:    33, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1012.1291503906s, input_fired_time: 6.8516945839, output_fired_time: 6.3743543625, propagate_forward_time: 382.6923522949, propagate_backward_time: 606.5413208008, weight_update_time: 1.0589010715, other_time: 9.6694946289
epoch time: 79.0351638794s, input_fired_time: 0.8756848574, output_fired_time: 0.0000000000, propagate_forward_time: 76.4792251587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6802520752
validation[          , genome  5929] predictions:    5865/  10000 (58.65%), best:    5865/10000 (58.65%), error:     12549.37109, best error:     12549.37109 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1013.9979248047s, input_fired_time: 6.8769006729, output_fired_time: 6.3830752373, propagate_forward_time: 383.3314514160, propagate_backward_time: 607.7163085938, weight_update_time: 1.0535013676, other_time: 9.6901855469
epoch time: 79.1270523071s, input_fired_time: 0.8753015995, output_fired_time: 0.0000000000, propagate_forward_time: 76.5886917114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6630554199
validation[          , genome  5929] predictions:    5912/  10000 (59.12%), best:    5912/10000 (59.12%), error:     12387.36230, best error:     12387.36230 on epoch:    38, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1018.8286132813s, input_fired_time: 6.9071450233, output_fired_time: 6.4085588455, propagate_forward_time: 385.5382995605, propagate_backward_time: 610.1835937500, weight_update_time: 1.0649276972, other_time: 9.7910156250
epoch time: 79.1119308472s, input_fired_time: 0.8711127639, output_fired_time: 0.0000000000, propagate_forward_time: 76.5673294067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6734924316
validation[          , genome  5929] predictions:    5778/  10000 (57.78%), best:    5912/10000 (59.12%), error:     12981.98926, best error:     12387.36230 on epoch:    38, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1011.5533447266s, input_fired_time: 6.8741774559, output_fired_time: 6.3562865257, propagate_forward_time: 382.5875549316, propagate_backward_time: 605.9564819336, weight_update_time: 1.0570164919, other_time: 9.7788696289
epoch time: 79.5077056885s, input_fired_time: 0.8774576187, output_fired_time: 0.0000000000, propagate_forward_time: 76.9464645386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6837844849
validation[          , genome  5929] predictions:    5814/  10000 (58.14%), best:    5912/10000 (59.12%), error:     12987.53809, best error:     12387.36230 on epoch:    38, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1013.3210449219s, input_fired_time: 6.8850255013, output_fired_time: 6.3786058426, propagate_forward_time: 382.9621582031, propagate_backward_time: 607.3969726563, weight_update_time: 1.0561689138, other_time: 9.6983032227
epoch time: 78.9738998413s, input_fired_time: 0.8735604286, output_fired_time: 0.0000000000, propagate_forward_time: 76.4225616455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6777801514
validation[          , genome  5929] predictions:    5781/  10000 (57.81%), best:    5912/10000 (59.12%), error:     12844.01660, best error:     12387.36230 on epoch:    38, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1033.1285400391s, input_fired_time: 6.9683732986, output_fired_time: 6.4584865570, propagate_forward_time: 391.3388977051, propagate_backward_time: 618.5183105469, weight_update_time: 1.0802813768, other_time: 9.8444824219
epoch time: 78.9449462891s, input_fired_time: 0.8684774637, output_fired_time: 0.0000000000, propagate_forward_time: 76.4174804688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6589889526
validation[          , genome  5929] predictions:    5811/  10000 (58.11%), best:    5912/10000 (59.12%), error:     12653.52734, best error:     12387.36230 on epoch:    38, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1014.6845092773s, input_fired_time: 6.8948249817, output_fired_time: 6.3869180679, propagate_forward_time: 383.8291015625, propagate_backward_time: 607.8674316406, weight_update_time: 1.0651224852, other_time: 9.7062377930
epoch time: 80.0912170410s, input_fired_time: 0.8877248764, output_fired_time: 0.0000000000, propagate_forward_time: 77.5204620361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6830291748
validation[          , genome  5929] predictions:    5680/  10000 (56.80%), best:    5912/10000 (59.12%), error:     13370.02734, best error:     12387.36230 on epoch:    38, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1021.0060424805s, input_fired_time: 6.9431877136, output_fired_time: 6.4283404350, propagate_forward_time: 386.2679748535, propagate_backward_time: 611.5729370117, weight_update_time: 1.0650053024, other_time: 9.7936401367
epoch time: 79.6091842651s, input_fired_time: 0.8824688196, output_fired_time: 0.0000000000, propagate_forward_time: 77.0189056396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7078094482
validation[          , genome  5929] predictions:    5671/  10000 (56.71%), best:    5912/10000 (59.12%), error:     13122.39453, best error:     12387.36230 on epoch:    38, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1016.9627685547s, input_fired_time: 6.9336256981, output_fired_time: 6.4412159920, propagate_forward_time: 384.9179687500, propagate_backward_time: 608.9119262695, weight_update_time: 1.0578182936, other_time: 9.7579956055
epoch time: 79.4706420898s, input_fired_time: 0.8768820167, output_fired_time: 0.0000000000, propagate_forward_time: 76.9201431274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6736145020
validation[          , genome  5929] predictions:    5811/  10000 (58.11%), best:    5912/10000 (59.12%), error:     12769.09180, best error:     12387.36230 on epoch:    38, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1019.5354614258s, input_fired_time: 6.9312429428, output_fired_time: 6.4068493843, propagate_forward_time: 385.7751770020, propagate_backward_time: 610.6521606445, weight_update_time: 1.0613293648, other_time: 9.7700805664
epoch time: 79.4453582764s, input_fired_time: 0.8786246777, output_fired_time: 0.0000000000, propagate_forward_time: 76.8827896118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6839447021
validation[          , genome  5929] predictions:    5895/  10000 (58.95%), best:    5912/10000 (59.12%), error:     12494.38867, best error:     12387.36230 on epoch:    38, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1025.6785888672s, input_fired_time: 6.9921650887, output_fired_time: 6.4581069946, propagate_forward_time: 388.5050354004, propagate_backward_time: 613.8380737305, weight_update_time: 1.0707356930, other_time: 9.8851928711
epoch time: 79.6522064209s, input_fired_time: 0.8778744340, output_fired_time: 0.0000000000, propagate_forward_time: 77.1036987305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6706314087
validation[          , genome  5929] predictions:    5910/  10000 (59.10%), best:    5912/10000 (59.12%), error:     12695.25977, best error:     12387.36230 on epoch:    38, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1020.7241210938s, input_fired_time: 6.9672679901, output_fired_time: 6.4203867912, propagate_forward_time: 386.2545471191, propagate_backward_time: 611.3030395508, weight_update_time: 1.0665925741, other_time: 9.7788696289
epoch time: 79.1150894165s, input_fired_time: 0.8816950321, output_fired_time: 0.0000000000, propagate_forward_time: 76.5550155640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6783752441
validation[          , genome  5929] predictions:    5958/  10000 (59.58%), best:    5958/10000 (59.58%), error:     12367.05566, best error:     12367.05566 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1014.7134399414s, input_fired_time: 6.9186291695, output_fired_time: 6.3741936684, propagate_forward_time: 383.9693908691, propagate_backward_time: 607.7189331055, weight_update_time: 1.0621470213, other_time: 9.7322387695
epoch time: 79.3552474976s, input_fired_time: 0.8758506775, output_fired_time: 0.0000000000, propagate_forward_time: 76.8073883057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6720123291
validation[          , genome  5929] predictions:    5985/  10000 (59.85%), best:    5985/10000 (59.85%), error:     12048.18750, best error:     12048.18750 on epoch:    49, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1018.1283569336s, input_fired_time: 6.9488868713, output_fired_time: 6.4007883072, propagate_forward_time: 384.9661560059, propagate_backward_time: 610.0672607422, weight_update_time: 1.0641467571, other_time: 9.7452392578
epoch time: 79.7979660034s, input_fired_time: 0.8817411661, output_fired_time: 0.0000000000, propagate_forward_time: 77.2202453613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6959762573
validation[          , genome  5929] predictions:    5875/  10000 (58.75%), best:    5985/10000 (59.85%), error:     12647.53516, best error:     12048.18750 on epoch:    49, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 398.9980163574s, input_fired_time: 4.4265170097, output_fired_time: 0.0000000000, propagate_forward_time: 386.0535888672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5179138184
best training[          , genome  5929] predictions:   36133/  50000 (72.27%), best:    5985/10000 (59.85%), error:     40012.48047, best error:     12048.18750 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 79.4585571289s, input_fired_time: 0.8759872913, output_fired_time: 0.0000000000, propagate_forward_time: 76.9123077393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6702651978
   testing[          , genome  5929] predictions:    5985/  10000 (59.85%), best:    5985/10000 (59.85%), error:     12048.18750, best error:     12048.18750 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
16:51:31 (17116): called boinc_finish(0)

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