Nameexact_genome_1542495604_166_6168_0
Workunit4095563
Created18 Nov 2018, 2:03:26 UTC
Sent18 Nov 2018, 2:05:46 UTC
Report deadline15 Dec 2018, 5:24:44 UTC
Received21 Nov 2018, 6:13:16 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID30770
Run time9 hours 37 min 45 sec
CPU time9 hours 33 min 45 sec
Validate stateValid
Credit6,784.55
Device peak FLOPS4.85 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size528.18 MB
Peak swap size549.69 MB
Peak disk usage11.93 MB

Stderr output

<core_client_version>7.6.33</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_1542495604_166_6168.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_166_6168_0_r277693283_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_166_6168.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: 6168
read normal distribution: '0 0.373980015516281 0.481698393821716'
generator_str: '311236131'
read generator: 311236131
read generated_by_map:
1 crossover 1
reading 110 nodes.
reading 448 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: 1822973272
post shuffle 1: 889708821
epoch time: 1238.08715820313s, input_fired_time: 10.2508020401001, output_fired_time: 8.92519760131836, propagate_forward_time: 462.480712890625, propagate_backward_time: 742.997741699219, weight_update_time: 1.16612303256989, other_time: 13.4326782226563
epoch time: 91.0684509277344s, input_fired_time: 1.14326238632202, output_fired_time: 0, propagate_forward_time: 87.5755996704102, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.34958648681641
validation[          , genome  6168] predictions:    4648/  10000 (46.48%), best:    4648/10000 (46.48%), error:     21607.61719, best error:     21607.61719 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1310.8618164063s, input_fired_time: 10.6674175262, output_fired_time: 9.4463043213, propagate_forward_time: 489.2801818848, propagate_backward_time: 787.0226440430, weight_update_time: 1.2394177914, other_time: 14.4453735352
epoch time: 114.5383682251s, input_fired_time: 1.3965004683, output_fired_time: 0.0000000000, propagate_forward_time: 110.2641372681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8777313232
validation[          , genome  6168] predictions:    4988/  10000 (49.88%), best:    4988/10000 (49.88%), error:     17183.29297, best error:     17183.29297 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1364.8248291016s, input_fired_time: 11.0675039291, output_fired_time: 9.7742071152, propagate_forward_time: 511.0292663574, propagate_backward_time: 818.1228637695, weight_update_time: 1.2793129683, other_time: 14.8309936523
epoch time: 92.4001846313s, input_fired_time: 1.1687535048, output_fired_time: 0.0000000000, propagate_forward_time: 88.8426284790, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3888015747
validation[          , genome  6168] predictions:    5204/  10000 (52.04%), best:    5204/10000 (52.04%), error:     15661.75195, best error:     15661.75195 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1195.6188964844s, input_fired_time: 9.9021072388, output_fired_time: 8.6023063660, propagate_forward_time: 443.5890197754, propagate_backward_time: 720.2102661133, weight_update_time: 1.1581904888, other_time: 13.3152465820
epoch time: 91.3795013428s, input_fired_time: 1.1460412741, output_fired_time: 0.0000000000, propagate_forward_time: 87.8813247681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3521347046
validation[          , genome  6168] predictions:    5047/  10000 (50.47%), best:    5204/10000 (52.04%), error:     16415.49805, best error:     15661.75195 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1187.8869628906s, input_fired_time: 9.8072671890, output_fired_time: 8.5732278824, propagate_forward_time: 440.8996582031, propagate_backward_time: 715.3839721680, weight_update_time: 1.1523948908, other_time: 13.2228393555
epoch time: 91.3826751709s, input_fired_time: 1.1399406195, output_fired_time: 0.0000000000, propagate_forward_time: 87.8749008179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3678359985
validation[          , genome  6168] predictions:    4822/  10000 (48.22%), best:    5204/10000 (52.04%), error:     17093.45898, best error:     15661.75195 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1192.3912353516s, input_fired_time: 9.8354940414, output_fired_time: 8.6241407394, propagate_forward_time: 442.3921813965, propagate_backward_time: 718.3005981445, weight_update_time: 1.1585186720, other_time: 13.2388305664
epoch time: 92.6766357422s, input_fired_time: 1.1658042669, output_fired_time: 0.0000000000, propagate_forward_time: 89.1557159424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3551177979
validation[          , genome  6168] predictions:    5226/  10000 (52.26%), best:    5226/10000 (52.26%), error:     15587.97363, best error:     15587.97363 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1193.8836669922s, input_fired_time: 9.8661890030, output_fired_time: 8.6021413803, propagate_forward_time: 443.2186889648, propagate_backward_time: 719.0025634766, weight_update_time: 1.1437530518, other_time: 13.1940307617
epoch time: 91.3346099854s, input_fired_time: 1.1456079483, output_fired_time: 0.0000000000, propagate_forward_time: 87.7928848267, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3961181641
validation[          , genome  6168] predictions:    5225/  10000 (52.25%), best:    5226/10000 (52.26%), error:     15787.71094, best error:     15587.97363 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1186.1619873047s, input_fired_time: 9.7951183319, output_fired_time: 8.5709695816, propagate_forward_time: 439.9387207031, propagate_backward_time: 714.5866088867, weight_update_time: 1.1498911381, other_time: 13.2705688477
epoch time: 92.2916030884s, input_fired_time: 1.1690596342, output_fired_time: 0.0000000000, propagate_forward_time: 88.7329483032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3895950317
validation[          , genome  6168] predictions:    5424/  10000 (54.24%), best:    5424/10000 (54.24%), error:     14615.24512, best error:     14615.24512 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1184.4300537109s, input_fired_time: 9.7891530991, output_fired_time: 8.5468521118, propagate_forward_time: 439.7366943359, propagate_backward_time: 713.1457519531, weight_update_time: 1.1472879648, other_time: 13.2115478516
epoch time: 91.1282424927s, input_fired_time: 1.1501358747, output_fired_time: 0.0000000000, propagate_forward_time: 87.6428756714, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3352279663
validation[          , genome  6168] predictions:    5405/  10000 (54.05%), best:    5405/10000 (54.05%), error:     14073.81055, best error:     14073.81055 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1180.4322509766s, input_fired_time: 9.7938337326, output_fired_time: 8.4942092896, propagate_forward_time: 438.0928344727, propagate_backward_time: 710.9765014648, weight_update_time: 1.1466133595, other_time: 13.0748291016
epoch time: 90.7001571655s, input_fired_time: 1.1354804039, output_fired_time: 0.0000000000, propagate_forward_time: 87.2210617065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3436126709
validation[          , genome  6168] predictions:    5440/  10000 (54.40%), best:    5405/10000 (54.05%), error:     14540.46777, best error:     14073.81055 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1184.7659912109s, input_fired_time: 9.8521890640, output_fired_time: 8.5417690277, propagate_forward_time: 439.9630432129, propagate_backward_time: 713.3060913086, weight_update_time: 1.1500709057, other_time: 13.1029663086
epoch time: 89.3425979614s, input_fired_time: 1.1321855783, output_fired_time: 0.0000000000, propagate_forward_time: 85.8411178589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3692932129
validation[          , genome  6168] predictions:    5180/  10000 (51.80%), best:    5405/10000 (54.05%), error:     16276.97266, best error:     14073.81055 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1190.5601806641s, input_fired_time: 9.8709049225, output_fired_time: 8.5736589432, propagate_forward_time: 441.9850158691, propagate_backward_time: 716.8014526367, weight_update_time: 1.1545794010, other_time: 13.3292846680
epoch time: 91.8258895874s, input_fired_time: 1.1720937490, output_fired_time: 0.0000000000, propagate_forward_time: 88.2392349243, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4145584106
validation[          , genome  6168] predictions:    5537/  10000 (55.37%), best:    5537/10000 (55.37%), error:     13827.83691, best error:     13827.83691 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1185.3889160156s, input_fired_time: 9.8393669128, output_fired_time: 8.5833253860, propagate_forward_time: 440.1778259277, propagate_backward_time: 713.5121459961, weight_update_time: 1.1548984051, other_time: 13.2761840820
epoch time: 91.5203170776s, input_fired_time: 1.1480199099, output_fired_time: 0.0000000000, propagate_forward_time: 87.9728546143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3994445801
validation[          , genome  6168] predictions:    5345/  10000 (53.45%), best:    5537/10000 (55.37%), error:     14698.82910, best error:     13827.83691 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1188.9681396484s, input_fired_time: 9.8798666000, output_fired_time: 8.5931320190, propagate_forward_time: 441.9108276367, propagate_backward_time: 715.2467651367, weight_update_time: 1.1556668282, other_time: 13.3375244141
epoch time: 92.3148803711s, input_fired_time: 1.1775974035, output_fired_time: 0.0000000000, propagate_forward_time: 88.7317047119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4055786133
validation[          , genome  6168] predictions:    5591/  10000 (55.91%), best:    5537/10000 (55.37%), error:     13842.52344, best error:     13827.83691 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1198.4382324219s, input_fired_time: 9.9651823044, output_fired_time: 8.6714639664, propagate_forward_time: 445.6341247559, propagate_backward_time: 720.8090820313, weight_update_time: 1.1636850834, other_time: 13.3582763672
epoch time: 92.2850799561s, input_fired_time: 1.1819673777, output_fired_time: 0.0000000000, propagate_forward_time: 88.7114028931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3917083740
validation[          , genome  6168] predictions:    5471/  10000 (54.71%), best:    5537/10000 (55.37%), error:     14955.34473, best error:     13827.83691 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1188.4532470703s, input_fired_time: 9.9151945114, output_fired_time: 8.6248598099, propagate_forward_time: 440.2103881836, propagate_backward_time: 716.4215087891, weight_update_time: 1.1570779085, other_time: 13.2813110352
epoch time: 92.8042678833s, input_fired_time: 1.1671266556, output_fired_time: 0.0000000000, propagate_forward_time: 89.2325439453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4045944214
validation[          , genome  6168] predictions:    5326/  10000 (53.26%), best:    5537/10000 (55.37%), error:     14245.42480, best error:     13827.83691 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1185.4588623047s, input_fired_time: 9.8631925583, output_fired_time: 8.5442266464, propagate_forward_time: 439.3152160645, propagate_backward_time: 714.4896240234, weight_update_time: 1.1519583464, other_time: 13.2467041016
epoch time: 91.9999923706s, input_fired_time: 1.1750001907, output_fired_time: 0.0000000000, propagate_forward_time: 88.4478836060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3771057129
validation[          , genome  6168] predictions:    5364/  10000 (53.64%), best:    5537/10000 (55.37%), error:     14774.82520, best error:     13827.83691 on epoch:    11, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1196.2237548828s, input_fired_time: 9.9662857056, output_fired_time: 8.6420087814, propagate_forward_time: 444.6918029785, propagate_backward_time: 719.4688720703, weight_update_time: 1.1695245504, other_time: 13.4548339844
epoch time: 92.1975326538s, input_fired_time: 1.1796033382, output_fired_time: 0.0000000000, propagate_forward_time: 88.6204605103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3974685669
validation[          , genome  6168] predictions:    5621/  10000 (56.21%), best:    5621/10000 (56.21%), error:     13639.03027, best error:     13639.03027 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1190.8322753906s, input_fired_time: 9.9321079254, output_fired_time: 8.6130065918, propagate_forward_time: 441.7434387207, propagate_backward_time: 717.2498168945, weight_update_time: 1.1451083422, other_time: 13.2938842773
epoch time: 91.4709320068s, input_fired_time: 1.1604191065, output_fired_time: 0.0000000000, propagate_forward_time: 87.9289016724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3816146851
validation[          , genome  6168] predictions:    5518/  10000 (55.18%), best:    5621/10000 (56.21%), error:     14519.07031, best error:     13639.03027 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1186.3161621094s, input_fired_time: 9.9270639420, output_fired_time: 8.5929632187, propagate_forward_time: 440.0009460449, propagate_backward_time: 714.5394287109, weight_update_time: 1.1449677944, other_time: 13.2556152344
epoch time: 92.4002761841s, input_fired_time: 1.1833785772, output_fired_time: 0.0000000000, propagate_forward_time: 88.8039016724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4129943848
validation[          , genome  6168] predictions:    5636/  10000 (56.36%), best:    5621/10000 (56.21%), error:     13659.67676, best error:     13639.03027 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1192.9739990234s, input_fired_time: 9.9631538391, output_fired_time: 8.6102666855, propagate_forward_time: 442.0983581543, propagate_backward_time: 718.9981689453, weight_update_time: 1.1526423693, other_time: 13.3040771484
epoch time: 91.5839691162s, input_fired_time: 1.1829648018, output_fired_time: 0.0000000000, propagate_forward_time: 88.0010147095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3999862671
validation[          , genome  6168] predictions:    5652/  10000 (56.52%), best:    5652/10000 (56.52%), error:     13634.55469, best error:     13634.55469 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1186.8032226563s, input_fired_time: 9.9593400955, output_fired_time: 8.5625600815, propagate_forward_time: 440.2760620117, propagate_backward_time: 714.7745971680, weight_update_time: 1.1465933323, other_time: 13.2307128906
epoch time: 91.9882125854s, input_fired_time: 1.1887447834, output_fired_time: 0.0000000000, propagate_forward_time: 88.3808441162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4186248779
validation[          , genome  6168] predictions:    5518/  10000 (55.18%), best:    5652/10000 (56.52%), error:     14240.69043, best error:     13634.55469 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1185.6369628906s, input_fired_time: 9.9676694870, output_fired_time: 8.5332078934, propagate_forward_time: 440.9021606445, propagate_backward_time: 713.0068359375, weight_update_time: 1.1459419727, other_time: 13.2271118164
epoch time: 91.2015838623s, input_fired_time: 1.1624858379, output_fired_time: 0.0000000000, propagate_forward_time: 87.6423797607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3967208862
validation[          , genome  6168] predictions:    5505/  10000 (55.05%), best:    5652/10000 (56.52%), error:     14917.37988, best error:     13634.55469 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1183.0328369141s, input_fired_time: 9.9047012329, output_fired_time: 8.5707406998, propagate_forward_time: 437.8540344238, propagate_backward_time: 713.4138793945, weight_update_time: 1.1528819799, other_time: 13.2894897461
epoch time: 92.4640655518s, input_fired_time: 1.1737498045, output_fired_time: 0.0000000000, propagate_forward_time: 88.8751907349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4151229858
validation[          , genome  6168] predictions:    5571/  10000 (55.71%), best:    5652/10000 (56.52%), error:     13683.19824, best error:     13634.55469 on epoch:    20, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1323.6782226563s, input_fired_time: 10.8589563370, output_fired_time: 9.5617351532, propagate_forward_time: 494.3809509277, propagate_backward_time: 793.9918823242, weight_update_time: 1.2662639618, other_time: 14.8845825195
epoch time: 111.2191162109s, input_fired_time: 1.4027080536, output_fired_time: 0.0000000000, propagate_forward_time: 106.9626922607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8537139893
validation[          , genome  6168] predictions:    5786/  10000 (57.86%), best:    5786/10000 (57.86%), error:     13368.18750, best error:     13368.18750 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1405.2044677734s, input_fired_time: 11.4570960999, output_fired_time: 10.1195821762, propagate_forward_time: 526.3462524414, propagate_backward_time: 841.6481323242, weight_update_time: 1.3051893711, other_time: 15.6333007813
epoch time: 108.0577316284s, input_fired_time: 1.3648835421, output_fired_time: 0.0000000000, propagate_forward_time: 103.9150161743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7778320313
validation[          , genome  6168] predictions:    5678/  10000 (56.78%), best:    5786/10000 (57.86%), error:     13620.60547, best error:     13368.18750 on epoch:    24, 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: 467.2269897461s, input_fired_time: 5.9983134270, output_fired_time: 0.0000000000, propagate_forward_time: 449.0303955078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.1982727051
best training[          , genome  6168] predictions:   32544/  50000 (65.09%), best:    5786/10000 (57.86%), error:     52371.52734, best error:     13368.18750 on epoch:    24, 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: 91.8618316650s, input_fired_time: 1.1835772991, output_fired_time: 0.0000000000, propagate_forward_time: 88.2807235718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3975296021
   testing[          , genome  6168] predictions:    5786/  10000 (57.86%), best:    5786/10000 (57.86%), error:     13368.18750, best error:     13368.18750 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
00:11:55 (2160): called boinc_finish(0)

</stderr_txt>
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