Nameexact_genome_1542649503_167_6340_1
Workunit4099593
Created20 Nov 2018, 2:57:25 UTC
Sent20 Nov 2018, 3:01:13 UTC
Report deadline13 Dec 2018, 16:33:22 UTC
Received20 Nov 2018, 20:02:38 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID84860
Run time9 hours 47 min 13 sec
CPU time9 hours 38 min 50 sec
Validate stateValid
Credit5,891.00
Device peak FLOPS4.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size504.26 MB
Peak swap size507.00 MB
Peak disk usage5.36 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
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/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_1542649503_167_6340.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_167_6340_1_r2071391712_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_167_6340.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: 6340
read normal distribution: '0 0.410152077674866 -1.22517037391663'
generator_str: '1721023626'
read generator: 1721023626
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 0.0684280395507812
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: 786840739
post shuffle 1: 202742668
epoch time: 1243.82360839844s, input_fired_time: 6.01925277709961, output_fired_time: 4.464439868927, propagate_forward_time: 479.647491455078, propagate_backward_time: 745.205017089844, weight_update_time: 0.769701957702637, other_time: 8.48736572265625
epoch time: 97.9055709838867s, input_fired_time: 0.621253430843353, output_fired_time: 0, propagate_forward_time: 95.8561706542969, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.42814636230469
validation[          , genome  6340] predictions:    4787/  10000 (47.87%), best:    4787/10000 (47.87%), error:     18490.95898, best error:     18490.95898 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1255.4263916016s, input_fired_time: 6.0314974785, output_fired_time: 4.5298914909, propagate_forward_time: 486.1612243652, propagate_backward_time: 750.0195312500, weight_update_time: 0.7651447058, other_time: 8.6842041016
epoch time: 97.7392272949s, input_fired_time: 0.6109873056, output_fired_time: 0.0000000000, propagate_forward_time: 95.6627883911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4654541016
validation[          , genome  6340] predictions:    4932/  10000 (49.32%), best:    4932/10000 (49.32%), error:     16405.45508, best error:     16405.45508 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1225.5916748047s, input_fired_time: 5.8114690781, output_fired_time: 4.4796628952, propagate_forward_time: 465.6589355469, propagate_backward_time: 741.6057128906, weight_update_time: 0.7354525924, other_time: 8.0358886719
epoch time: 94.7562942505s, input_fired_time: 0.5687139630, output_fired_time: 0.0000000000, propagate_forward_time: 92.8708572388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3167266846
validation[          , genome  6340] predictions:    5239/  10000 (52.39%), best:    5239/10000 (52.39%), error:     15796.09277, best error:     15796.09277 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1215.5557861328s, input_fired_time: 5.8571987152, output_fired_time: 4.4732971191, propagate_forward_time: 462.1073303223, propagate_backward_time: 735.1603393555, weight_update_time: 0.7365849614, other_time: 7.9577026367
epoch time: 95.6991043091s, input_fired_time: 0.5973628759, output_fired_time: 0.0000000000, propagate_forward_time: 93.6962890625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4054489136
validation[          , genome  6340] predictions:    4964/  10000 (49.64%), best:    5239/10000 (52.39%), error:     15831.42383, best error:     15796.09277 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1230.0919189453s, input_fired_time: 6.0031900406, output_fired_time: 4.4829158783, propagate_forward_time: 472.7427978516, propagate_backward_time: 738.5664062500, weight_update_time: 0.7570017576, other_time: 8.2966308594
epoch time: 93.8202133179s, input_fired_time: 0.6039553285, output_fired_time: 0.0000000000, propagate_forward_time: 91.8636016846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3526535034
validation[          , genome  6340] predictions:    5017/  10000 (50.17%), best:    5239/10000 (52.39%), error:     16682.37891, best error:     15796.09277 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1214.1551513672s, input_fired_time: 5.9300441742, output_fired_time: 4.4712333679, propagate_forward_time: 465.3302001953, propagate_backward_time: 730.3323364258, weight_update_time: 0.7399157882, other_time: 8.0913696289
epoch time: 93.6156082153s, input_fired_time: 0.5769958496, output_fired_time: 0.0000000000, propagate_forward_time: 91.7243423462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3142700195
validation[          , genome  6340] predictions:    5050/  10000 (50.50%), best:    5239/10000 (52.39%), error:     16205.77246, best error:     15796.09277 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1215.8973388672s, input_fired_time: 5.7612204552, output_fired_time: 4.4758358002, propagate_forward_time: 459.7526855469, propagate_backward_time: 738.2405395508, weight_update_time: 0.7169663310, other_time: 7.6670532227
epoch time: 93.1566238403s, input_fired_time: 0.6289225221, output_fired_time: 0.0000000000, propagate_forward_time: 91.2036666870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3240356445
validation[          , genome  6340] predictions:    5157/  10000 (51.57%), best:    5157/10000 (51.57%), error:     15634.67871, best error:     15634.67871 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1208.9271240234s, input_fired_time: 6.0162444115, output_fired_time: 4.4104123116, propagate_forward_time: 465.2480163574, propagate_backward_time: 725.0843505859, weight_update_time: 0.7415626645, other_time: 8.1680908203
epoch time: 90.1467742920s, input_fired_time: 0.6323924065, output_fired_time: 0.0000000000, propagate_forward_time: 88.2086868286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3056945801
validation[          , genome  6340] predictions:    4870/  10000 (48.70%), best:    5157/10000 (51.57%), error:     17241.86914, best error:     15634.67871 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1225.8768310547s, input_fired_time: 5.8869814873, output_fired_time: 4.4706792831, propagate_forward_time: 468.3213500977, propagate_backward_time: 739.0805664062, weight_update_time: 0.7283750772, other_time: 8.1172485352
epoch time: 98.7538986206s, input_fired_time: 0.6286495328, output_fired_time: 0.0000000000, propagate_forward_time: 96.7004165649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4248352051
validation[          , genome  6340] predictions:    5496/  10000 (54.96%), best:    5496/10000 (54.96%), error:     13759.15625, best error:     13759.15625 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1229.0146484375s, input_fired_time: 5.9215064049, output_fired_time: 4.4472475052, propagate_forward_time: 470.9562377930, propagate_backward_time: 739.3563842773, weight_update_time: 0.7598490715, other_time: 8.3332519531
epoch time: 95.6878662109s, input_fired_time: 0.6032692194, output_fired_time: 0.0000000000, propagate_forward_time: 93.6895828247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3950119019
validation[          , genome  6340] predictions:    5441/  10000 (54.41%), best:    5496/10000 (54.96%), error:     14110.40625, best error:     13759.15625 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1242.2889404297s, input_fired_time: 5.9185409546, output_fired_time: 4.5273442268, propagate_forward_time: 475.1312255859, propagate_backward_time: 748.3367309570, weight_update_time: 0.7516601682, other_time: 8.3750610352
epoch time: 95.1964645386s, input_fired_time: 0.6069936752, output_fired_time: 0.0000000000, propagate_forward_time: 93.2333068848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3561630249
validation[          , genome  6340] predictions:    5509/  10000 (55.09%), best:    5509/10000 (55.09%), error:     13511.92578, best error:     13511.92578 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1268.2613525391s, input_fired_time: 6.1151905060, output_fired_time: 4.5597310066, propagate_forward_time: 492.2929382324, propagate_backward_time: 756.5567016602, weight_update_time: 0.7750291228, other_time: 8.7367553711
epoch time: 93.4846649170s, input_fired_time: 0.6775909662, output_fired_time: 0.0000000000, propagate_forward_time: 91.3335266113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4735488892
validation[          , genome  6340] predictions:    5374/  10000 (53.74%), best:    5509/10000 (55.09%), error:     14473.26172, best error:     13511.92578 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1251.7846679688s, input_fired_time: 6.0556249619, output_fired_time: 4.5486817360, propagate_forward_time: 484.1961364746, propagate_backward_time: 748.3975219727, weight_update_time: 0.7683632374, other_time: 8.5866088867
epoch time: 91.7962570190s, input_fired_time: 0.6123130918, output_fired_time: 0.0000000000, propagate_forward_time: 89.8548889160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3290557861
validation[          , genome  6340] predictions:    5293/  10000 (52.93%), best:    5509/10000 (55.09%), error:     14707.47656, best error:     13511.92578 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1255.1992187500s, input_fired_time: 6.0836448669, output_fired_time: 4.5610079765, propagate_forward_time: 483.8901062012, propagate_backward_time: 752.0270385742, weight_update_time: 0.7748632431, other_time: 8.6373901367
epoch time: 99.3408432007s, input_fired_time: 0.6506966949, output_fired_time: 0.0000000000, propagate_forward_time: 97.2331848145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4569625854
validation[          , genome  6340] predictions:    5338/  10000 (53.38%), best:    5509/10000 (55.09%), error:     14540.57031, best error:     13511.92578 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1251.5137939453s, input_fired_time: 6.1119551659, output_fired_time: 4.5205373764, propagate_forward_time: 486.1061096191, propagate_backward_time: 745.9855957031, weight_update_time: 0.8032251596, other_time: 8.7896728516
epoch time: 98.2992630005s, input_fired_time: 0.6465528011, output_fired_time: 0.0000000000, propagate_forward_time: 96.1994094849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4533004761
validation[          , genome  6340] predictions:    5502/  10000 (55.02%), best:    5509/10000 (55.09%), error:     14010.03223, best error:     13511.92578 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1287.6043701172s, input_fired_time: 6.2779250145, output_fired_time: 4.6197547913, propagate_forward_time: 504.5822753906, propagate_backward_time: 763.1776733398, weight_update_time: 0.7867320180, other_time: 8.9467163086
epoch time: 93.2224197388s, input_fired_time: 0.6099355221, output_fired_time: 0.0000000000, propagate_forward_time: 91.2739028931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3385848999
validation[          , genome  6340] predictions:    5508/  10000 (55.08%), best:    5509/10000 (55.09%), error:     13739.53711, best error:     13511.92578 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1257.5416259766s, input_fired_time: 6.0821890831, output_fired_time: 4.5480766296, propagate_forward_time: 486.9255371094, propagate_backward_time: 751.4442749023, weight_update_time: 0.7586998940, other_time: 8.5415649414
epoch time: 95.3703994751s, input_fired_time: 0.6432946324, output_fired_time: 0.0000000000, propagate_forward_time: 93.3186035156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4085006714
validation[          , genome  6340] predictions:    5425/  10000 (54.25%), best:    5509/10000 (55.09%), error:     14036.12305, best error:     13511.92578 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1215.7414550781s, input_fired_time: 6.0292363167, output_fired_time: 4.4531383514, propagate_forward_time: 466.7969360352, propagate_backward_time: 730.1894531250, weight_update_time: 0.7523936033, other_time: 8.2726440430
epoch time: 92.9860000610s, input_fired_time: 0.6437694430, output_fired_time: 0.0000000000, propagate_forward_time: 90.9051437378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4370880127
validation[          , genome  6340] predictions:    5559/  10000 (55.59%), best:    5509/10000 (55.09%), error:     13650.51270, best error:     13511.92578 on epoch:    10, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1238.7102050781s, input_fired_time: 6.0472440720, output_fired_time: 4.4868316650, propagate_forward_time: 476.6984252930, propagate_backward_time: 743.0456542969, weight_update_time: 0.7582225800, other_time: 8.4320678711
epoch time: 107.9226760864s, input_fired_time: 0.7197687030, output_fired_time: 0.0000000000, propagate_forward_time: 105.5616378784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6412658691
validation[          , genome  6340] predictions:    5515/  10000 (55.15%), best:    5509/10000 (55.09%), error:     13585.90039, best error:     13511.92578 on epoch:    10, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1298.6223144531s, input_fired_time: 6.4428510666, output_fired_time: 4.7912125587, propagate_forward_time: 504.5755310059, propagate_backward_time: 773.6058959961, weight_update_time: 0.8439970613, other_time: 9.2067260742
epoch time: 109.6672286987s, input_fired_time: 0.6782786846, output_fired_time: 0.0000000000, propagate_forward_time: 107.3313522339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6576004028
validation[          , genome  6340] predictions:    5106/  10000 (51.06%), best:    5509/10000 (55.09%), error:     15526.31836, best error:     13511.92578 on epoch:    10, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1242.0646972656s, input_fired_time: 6.0983867645, output_fired_time: 4.5488567352, propagate_forward_time: 476.6968688965, propagate_backward_time: 746.2301635742, weight_update_time: 0.7688157558, other_time: 8.4904174805
epoch time: 94.8453292847s, input_fired_time: 0.6561273336, output_fired_time: 0.0000000000, propagate_forward_time: 92.7381744385, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4510269165
validation[          , genome  6340] predictions:    5302/  10000 (53.02%), best:    5509/10000 (55.09%), error:     14466.25293, best error:     13511.92578 on epoch:    10, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1224.7738037109s, input_fired_time: 6.0070228577, output_fired_time: 4.4848732948, propagate_forward_time: 467.6733398438, propagate_backward_time: 738.3612670898, weight_update_time: 0.7501304150, other_time: 8.2472534180
epoch time: 94.7090225220s, input_fired_time: 0.5876221061, output_fired_time: 0.0000000000, propagate_forward_time: 92.7814788818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3399200439
validation[          , genome  6340] predictions:    5387/  10000 (53.87%), best:    5509/10000 (55.09%), error:     13791.78320, best error:     13511.92578 on epoch:    10, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1228.7546386719s, input_fired_time: 6.0229349136, output_fired_time: 4.5030970573, propagate_forward_time: 472.0483703613, propagate_backward_time: 737.8345947266, weight_update_time: 0.7601747513, other_time: 8.3457031250
epoch time: 94.5432891846s, input_fired_time: 0.5943302512, output_fired_time: 0.0000000000, propagate_forward_time: 92.5671691895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3817901611
validation[          , genome  6340] predictions:    5278/  10000 (52.78%), best:    5509/10000 (55.09%), error:     14068.33301, best error:     13511.92578 on epoch:    10, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1222.7797851562s, input_fired_time: 6.0020575523, output_fired_time: 4.4221296310, propagate_forward_time: 468.5929260254, propagate_backward_time: 735.5013427734, weight_update_time: 0.7410923839, other_time: 8.2613525391
epoch time: 94.5968551636s, input_fired_time: 0.6069523692, output_fired_time: 0.0000000000, propagate_forward_time: 92.6886138916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3012924194
validation[          , genome  6340] predictions:    5637/  10000 (56.37%), best:    5637/10000 (56.37%), error:     13120.32520, best error:     13120.32520 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1253.5439453125s, input_fired_time: 6.0499639511, output_fired_time: 4.4517168999, propagate_forward_time: 460.1655883789, propagate_backward_time: 774.8869628906, weight_update_time: 0.7407068014, other_time: 7.9898071289
epoch time: 95.9985885620s, input_fired_time: 0.6522275209, output_fired_time: 0.0000000000, propagate_forward_time: 93.9134445190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4329147339
validation[          , genome  6340] predictions:    5548/  10000 (55.48%), best:    5637/10000 (56.37%), error:     13966.94824, best error:     13120.32520 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1215.7346191406s, input_fired_time: 5.9256992340, output_fired_time: 4.4490838051, propagate_forward_time: 462.6127014160, propagate_backward_time: 734.8293457031, weight_update_time: 0.7313241959, other_time: 7.9178466797
epoch time: 90.1499252319s, input_fired_time: 0.6252501607, output_fired_time: 0.0000000000, propagate_forward_time: 88.2400360107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2846374512
validation[          , genome  6340] predictions:    5677/  10000 (56.77%), best:    5637/10000 (56.37%), error:     13432.99805, best error:     13120.32520 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: 463.2946472168s, input_fired_time: 3.1636712551, output_fired_time: 0.0000000000, propagate_forward_time: 453.4299316406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7010498047
best training[          , genome  6340] predictions:   31877/  50000 (63.75%), best:    5637/10000 (56.37%), error:     52857.27734, best error:     13120.32520 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: 94.8538513184s, input_fired_time: 0.6403969526, output_fired_time: 0.0000000000, propagate_forward_time: 92.8867416382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3267135620
   testing[          , genome  6340] predictions:    5637/  10000 (56.37%), best:    5637/10000 (56.37%), error:     13120.32520, best error:     13120.32520 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
08:13:51 (27792): called boinc_finish(0)

</stderr_txt>
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