Nameexact_genome_1542579005_169_6277_2
Workunit4098057
Created19 Nov 2018, 20:52:03 UTC
Sent19 Nov 2018, 20:52:08 UTC
Report deadline17 Dec 2018, 16:28:44 UTC
Received23 Nov 2018, 4:24:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time10 hours 42 min 28 sec
CPU time10 hours 36 min 12 sec
Validate stateValid
Credit6,954.27
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size521.93 MB
Peak swap size520.06 MB
Peak disk usage12.42 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_1542579005_169_6277.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542579005_169_6277_2_r299402061_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542579005_169_6277.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: 25
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: 6277
read normal distribution: '1 -0.656835794448853 1.49748194217682'
generator_str: '678148754'
read generator: 678148754
read generated_by_map:
1 change_size 1
reading 109 nodes.
reading 422 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: 950393849
post shuffle 1: 503673220
epoch time: 1350.13928222656s, input_fired_time: 8.75348949432373, output_fired_time: 8.37506484985352, propagate_forward_time: 514.806091308594, propagate_backward_time: 806.583374023438, weight_update_time: 1.21470296382904, other_time: 11.6211547851563
epoch time: 105.949142456055s, input_fired_time: 1.06287729740143, output_fired_time: 0, propagate_forward_time: 102.90283203125, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.98343658447266
validation[          , genome  6277] predictions:    5049/  10000 (50.49%), best:    5049/10000 (50.49%), error:     17884.42578, best error:     17884.42578 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1349.6086425781s, input_fired_time: 8.7226572037, output_fired_time: 8.4020805359, propagate_forward_time: 514.4352416992, propagate_backward_time: 806.5265502930, weight_update_time: 1.2019542456, other_time: 11.5220947266
epoch time: 105.9604415894s, input_fired_time: 1.0531262159, output_fired_time: 0.0000000000, propagate_forward_time: 102.9106063843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9967117310
validation[          , genome  6277] predictions:    5222/  10000 (52.22%), best:    5222/10000 (52.22%), error:     15894.81934, best error:     15894.81934 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1353.5839843750s, input_fired_time: 8.6521854401, output_fired_time: 8.4388570786, propagate_forward_time: 515.6802368164, propagate_backward_time: 809.2644042969, weight_update_time: 1.2044767141, other_time: 11.5482788086
epoch time: 110.3361434937s, input_fired_time: 1.0842984915, output_fired_time: 0.0000000000, propagate_forward_time: 107.2349243164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0169219971
validation[          , genome  6277] predictions:    4821/  10000 (48.21%), best:    5222/10000 (52.22%), error:     18167.18359, best error:     15894.81934 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1352.1252441406s, input_fired_time: 8.6144266129, output_fired_time: 8.4200649261, propagate_forward_time: 514.8736572266, propagate_backward_time: 808.6960449219, weight_update_time: 1.2122191191, other_time: 11.5211181641
epoch time: 105.6927871704s, input_fired_time: 1.0307968855, output_fired_time: 0.0000000000, propagate_forward_time: 102.6588592529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0031280518
validation[          , genome  6277] predictions:    5000/  10000 (50.00%), best:    5222/10000 (52.22%), error:     16681.01172, best error:     15894.81934 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1356.8961181641s, input_fired_time: 8.6632490158, output_fired_time: 8.4251985550, propagate_forward_time: 517.0300903320, propagate_backward_time: 811.2369995117, weight_update_time: 1.2079852819, other_time: 11.5406494141
epoch time: 105.6271896362s, input_fired_time: 1.0487910509, output_fired_time: 0.0000000000, propagate_forward_time: 102.5863952637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9920043945
validation[          , genome  6277] predictions:    5147/  10000 (51.47%), best:    5147/10000 (51.47%), error:     15389.92969, best error:     15389.92969 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1350.4486083984s, input_fired_time: 8.6217470169, output_fired_time: 8.4123125076, propagate_forward_time: 514.4738769531, propagate_backward_time: 807.4242553711, weight_update_time: 1.2058564425, other_time: 11.5164184570
epoch time: 106.0107345581s, input_fired_time: 1.0527137518, output_fired_time: 0.0000000000, propagate_forward_time: 102.9602737427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9977493286
validation[          , genome  6277] predictions:    5418/  10000 (54.18%), best:    5418/10000 (54.18%), error:     14387.36133, best error:     14387.36133 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1350.6197509766s, input_fired_time: 8.6344280243, output_fired_time: 8.4142065048, propagate_forward_time: 514.7286987305, propagate_backward_time: 807.3477783203, weight_update_time: 1.2068886757, other_time: 11.4946899414
epoch time: 105.7502288818s, input_fired_time: 1.0587341785, output_fired_time: 0.0000000000, propagate_forward_time: 102.7070846558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9844131470
validation[          , genome  6277] predictions:    5380/  10000 (53.80%), best:    5418/10000 (54.18%), error:     14726.14648, best error:     14387.36133 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1351.6079101563s, input_fired_time: 8.5781841278, output_fired_time: 8.4015760422, propagate_forward_time: 514.9959106445, propagate_backward_time: 808.0872192383, weight_update_time: 1.2053480148, other_time: 11.5450439453
epoch time: 105.9247817993s, input_fired_time: 1.0562617779, output_fired_time: 0.0000000000, propagate_forward_time: 102.8456954956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0228271484
validation[          , genome  6277] predictions:    5286/  10000 (52.86%), best:    5418/10000 (54.18%), error:     14704.96582, best error:     14387.36133 on epoch:     5, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1351.5251464844s, input_fired_time: 8.6317329407, output_fired_time: 8.4071121216, propagate_forward_time: 514.9605102539, propagate_backward_time: 807.9769287109, weight_update_time: 1.2037833929, other_time: 11.5488891602
epoch time: 106.0788650513s, input_fired_time: 1.0431895256, output_fired_time: 0.0000000000, propagate_forward_time: 103.0458602905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9898147583
validation[          , genome  6277] predictions:    5530/  10000 (55.30%), best:    5530/10000 (55.30%), error:     13691.27344, best error:     13691.27344 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1350.3927001953s, input_fired_time: 8.6210899353, output_fired_time: 8.3896617889, propagate_forward_time: 514.5780639648, propagate_backward_time: 807.2437133789, weight_update_time: 1.2048662901, other_time: 11.5601806641
epoch time: 106.0305786133s, input_fired_time: 1.0638239384, output_fired_time: 0.0000000000, propagate_forward_time: 102.9680328369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9987182617
validation[          , genome  6277] predictions:    5645/  10000 (56.45%), best:    5645/10000 (56.45%), error:     13576.91016, best error:     13576.91016 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1346.4093017578s, input_fired_time: 8.6030302048, output_fired_time: 8.4069061279, propagate_forward_time: 512.5370483398, propagate_backward_time: 805.3701782227, weight_update_time: 1.1997864246, other_time: 11.4921875000
epoch time: 105.1626434326s, input_fired_time: 1.0010131598, output_fired_time: 0.0000000000, propagate_forward_time: 102.1736373901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9879913330
validation[          , genome  6277] predictions:    4823/  10000 (48.23%), best:    5645/10000 (56.45%), error:     16363.01758, best error:     13576.91016 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1345.7230224609s, input_fired_time: 8.5489664078, output_fired_time: 8.3838081360, propagate_forward_time: 512.7108764648, propagate_backward_time: 804.5639648438, weight_update_time: 1.2032303810, other_time: 11.5154418945
epoch time: 105.2467117310s, input_fired_time: 1.0467340946, output_fired_time: 0.0000000000, propagate_forward_time: 102.2161331177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9838409424
validation[          , genome  6277] predictions:    5494/  10000 (54.94%), best:    5645/10000 (56.45%), error:     14107.29395, best error:     13576.91016 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1346.1885986328s, input_fired_time: 8.6386518478, output_fired_time: 8.3842945099, propagate_forward_time: 512.7192993164, propagate_backward_time: 804.9725341797, weight_update_time: 1.2009489536, other_time: 11.4738159180
epoch time: 105.1911849976s, input_fired_time: 1.0419642925, output_fired_time: 0.0000000000, propagate_forward_time: 102.1686553955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9805679321
validation[          , genome  6277] predictions:    5522/  10000 (55.22%), best:    5645/10000 (56.45%), error:     14021.44824, best error:     13576.91016 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1344.3188476563s, input_fired_time: 8.5995397568, output_fired_time: 8.3532228470, propagate_forward_time: 511.6818542480, propagate_backward_time: 804.1737670898, weight_update_time: 1.2084536552, other_time: 11.5104370117
epoch time: 105.4052276611s, input_fired_time: 1.0505883694, output_fired_time: 0.0000000000, propagate_forward_time: 102.3747024536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9799346924
validation[          , genome  6277] predictions:    5521/  10000 (55.21%), best:    5645/10000 (56.45%), error:     14085.63867, best error:     13576.91016 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1345.5614013672s, input_fired_time: 8.6421318054, output_fired_time: 8.4097900391, propagate_forward_time: 512.6318359375, propagate_backward_time: 804.3979492188, weight_update_time: 1.1991803646, other_time: 11.4797363281
epoch time: 105.3194732666s, input_fired_time: 1.0525882244, output_fired_time: 0.0000000000, propagate_forward_time: 102.2803726196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9865112305
validation[          , genome  6277] predictions:    5698/  10000 (56.98%), best:    5645/10000 (56.45%), error:     14173.45020, best error:     13576.91016 on epoch:     9, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1342.9401855469s, input_fired_time: 8.6107568741, output_fired_time: 8.3689107895, propagate_forward_time: 511.0680236816, propagate_backward_time: 803.3947143555, weight_update_time: 1.2078487873, other_time: 11.4978637695
epoch time: 105.1192855835s, input_fired_time: 1.0606694221, output_fired_time: 0.0000000000, propagate_forward_time: 102.0794296265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9791870117
validation[          , genome  6277] predictions:    5583/  10000 (55.83%), best:    5583/10000 (55.83%), error:     13487.50391, best error:     13487.50391 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1343.9082031250s, input_fired_time: 8.6433391571, output_fired_time: 8.3552551270, propagate_forward_time: 511.7907104492, propagate_backward_time: 803.6381225586, weight_update_time: 1.2036852837, other_time: 11.4808349609
epoch time: 105.5652770996s, input_fired_time: 1.0518257618, output_fired_time: 0.0000000000, propagate_forward_time: 102.5300140381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9834365845
validation[          , genome  6277] predictions:    5725/  10000 (57.25%), best:    5725/10000 (57.25%), error:     13301.26465, best error:     13301.26465 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1347.8144531250s, input_fired_time: 8.6740102768, output_fired_time: 8.3837509155, propagate_forward_time: 513.0120849609, propagate_backward_time: 806.1703491211, weight_update_time: 1.2124714851, other_time: 11.5742797852
epoch time: 105.2060699463s, input_fired_time: 1.0503635406, output_fired_time: 0.0000000000, propagate_forward_time: 102.1879272461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9677810669
validation[          , genome  6277] predictions:    5641/  10000 (56.41%), best:    5725/10000 (57.25%), error:     13453.87695, best error:     13301.26465 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1344.1258544922s, input_fired_time: 8.6714935303, output_fired_time: 8.3747539520, propagate_forward_time: 512.3469238281, propagate_backward_time: 803.2412109375, weight_update_time: 1.2015006542, other_time: 11.4914550781
epoch time: 105.1312026978s, input_fired_time: 1.0525217056, output_fired_time: 0.0000000000, propagate_forward_time: 102.1148223877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9638595581
validation[          , genome  6277] predictions:    5712/  10000 (57.12%), best:    5725/10000 (57.25%), error:     13401.58984, best error:     13301.26465 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1345.0954589844s, input_fired_time: 8.6993837357, output_fired_time: 8.3857145309, propagate_forward_time: 512.3492431641, propagate_backward_time: 804.1563110352, weight_update_time: 1.2034777403, other_time: 11.5048217773
epoch time: 105.2774276733s, input_fired_time: 1.0731991529, output_fired_time: 0.0000000000, propagate_forward_time: 102.2266311646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9776000977
validation[          , genome  6277] predictions:    5686/  10000 (56.86%), best:    5725/10000 (57.25%), error:     13366.48340, best error:     13301.26465 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1343.2901611328s, input_fired_time: 8.6953058243, output_fired_time: 8.3639564514, propagate_forward_time: 511.4228820801, propagate_backward_time: 803.3030395508, weight_update_time: 1.2027688026, other_time: 11.5049438477
epoch time: 105.5702133179s, input_fired_time: 1.0648567677, output_fired_time: 0.0000000000, propagate_forward_time: 102.5184707642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9868850708
validation[          , genome  6277] predictions:    5768/  10000 (57.68%), best:    5768/10000 (57.68%), error:     13110.71094, best error:     13110.71094 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1343.0545654297s, input_fired_time: 8.6964178085, output_fired_time: 8.3779459000, propagate_forward_time: 511.8579406738, propagate_backward_time: 802.6093750000, weight_update_time: 1.2073365450, other_time: 11.5129394531
epoch time: 105.7840576172s, input_fired_time: 1.0706651211, output_fired_time: 0.0000000000, propagate_forward_time: 102.7053298950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0080642700
validation[          , genome  6277] predictions:    5685/  10000 (56.85%), best:    5768/10000 (57.68%), error:     13246.41797, best error:     13110.71094 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1344.2427978516s, input_fired_time: 8.7266921997, output_fired_time: 8.4256963730, propagate_forward_time: 512.1716918945, propagate_backward_time: 803.4130249023, weight_update_time: 1.2073463202, other_time: 11.5057373047
epoch time: 105.4757614136s, input_fired_time: 1.0790860653, output_fired_time: 0.0000000000, propagate_forward_time: 102.4030227661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9936523438
validation[          , genome  6277] predictions:    5746/  10000 (57.46%), best:    5768/10000 (57.68%), error:     13365.25586, best error:     13110.71094 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1454.3865966797s, input_fired_time: 9.3107910156, output_fired_time: 8.9354305267, propagate_forward_time: 557.5582885742, propagate_backward_time: 866.1178588867, weight_update_time: 1.2826234102, other_time: 12.4642333984
epoch time: 105.2158508301s, input_fired_time: 1.0707448721, output_fired_time: 0.0000000000, propagate_forward_time: 102.1679153442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9771881104
validation[          , genome  6277] predictions:    5924/  10000 (59.24%), best:    5924/10000 (59.24%), error:     12539.56348, best error:     12539.56348 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1343.9825439453s, input_fired_time: 8.7416667938, output_fired_time: 8.3921165466, propagate_forward_time: 512.2588500977, propagate_backward_time: 803.0839843750, weight_update_time: 1.2087051868, other_time: 11.5059204102
epoch time: 105.3386993408s, input_fired_time: 1.0804734230, output_fired_time: 0.0000000000, propagate_forward_time: 102.2652511597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9929733276
validation[          , genome  6277] predictions:    5742/  10000 (57.42%), best:    5924/10000 (59.24%), error:     13326.51660, best error:     12539.56348 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1347.0712890625s, input_fired_time: 8.7666902542, output_fired_time: 8.3869466782, propagate_forward_time: 513.0872192383, propagate_backward_time: 805.3285522461, weight_update_time: 1.1994585991, other_time: 11.5018310547
epoch time: 105.0951843262s, input_fired_time: 1.0726637840, output_fired_time: 0.0000000000, propagate_forward_time: 102.0246124268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9979095459
validation[          , genome  6277] predictions:    5679/  10000 (56.79%), best:    5924/10000 (59.24%), error:     13340.41602, best error:     12539.56348 on epoch:    23, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 527.3649902344s, input_fired_time: 5.3614244461, output_fired_time: 0.0000000000, propagate_forward_time: 511.9813842773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.0221557617
best training[          , genome  6277] predictions:   33674/  50000 (67.35%), best:    5924/10000 (59.24%), error:     47979.44141, best error:     12539.56348 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 105.5477447510s, input_fired_time: 1.0699907541, output_fired_time: 0.0000000000, propagate_forward_time: 102.4809112549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9968414307
   testing[          , genome  6277] predictions:    5924/  10000 (59.24%), best:    5924/10000 (59.24%), error:     12539.56348, best error:     12539.56348 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
13:23:42 (11076): called boinc_finish(0)

</stderr_txt>
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