Nameexact_genome_1542579005_169_6278_3
Workunit4098058
Created19 Nov 2018, 20:52:03 UTC
Sent19 Nov 2018, 20:52:08 UTC
Report deadline13 Dec 2018, 22:04:11 UTC
Received22 Nov 2018, 18:26:10 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time9 hours 15 min 54 sec
CPU time9 hours 11 min 48 sec
Validate stateValid
Credit6,012.51
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.63 MB
Peak swap size515.52 MB
Peak disk usage11.39 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_6278.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542579005_169_6278_3_r583398473_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542579005_169_6278.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: 6278
read normal distribution: '1 0 0'
generator_str: '1426816139'
read generator: 1426816139
read generated_by_map:
1 enable_edge 1
reading 94 nodes.
reading 370 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: 1696445771
post shuffle 1: 706427776
epoch time: 1171.697265625s, input_fired_time: 7.56145668029785, output_fired_time: 7.23084402084351, propagate_forward_time: 444.965301513672, propagate_backward_time: 701.355041503906, weight_update_time: 1.13423204421997, other_time: 10.5846557617188
epoch time: 91.4878387451172s, input_fired_time: 0.935932338237762, output_fired_time: 0, propagate_forward_time: 88.7132949829102, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.83860778808594
validation[          , genome  6278] predictions:    4818/  10000 (48.18%), best:    4818/10000 (48.18%), error:     18195.89063, best error:     18195.89063 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1168.2486572266s, input_fired_time: 7.5503435135, output_fired_time: 7.2234325409, propagate_forward_time: 443.2290649414, propagate_backward_time: 699.7119140625, weight_update_time: 1.1251294613, other_time: 10.5339965820
epoch time: 91.6503601074s, input_fired_time: 0.9288327694, output_fired_time: 0.0000000000, propagate_forward_time: 88.9011535645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8203735352
validation[          , genome  6278] predictions:    5235/  10000 (52.35%), best:    5235/10000 (52.35%), error:     15980.18164, best error:     15980.18164 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1168.6940917969s, input_fired_time: 7.4964108467, output_fired_time: 7.2146048546, propagate_forward_time: 443.5860900879, propagate_backward_time: 699.8770141602, weight_update_time: 1.1288214922, other_time: 10.5199584961
epoch time: 91.2865219116s, input_fired_time: 0.9217483401, output_fired_time: 0.0000000000, propagate_forward_time: 88.5491409302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8156356812
validation[          , genome  6278] predictions:    4864/  10000 (48.64%), best:    5235/10000 (52.35%), error:     17319.45313, best error:     15980.18164 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1168.6545410156s, input_fired_time: 7.5112476349, output_fired_time: 7.2063274384, propagate_forward_time: 443.7387695313, propagate_backward_time: 699.6283569336, weight_update_time: 1.1363930702, other_time: 10.5698852539
epoch time: 91.5148544312s, input_fired_time: 0.9204337597, output_fired_time: 0.0000000000, propagate_forward_time: 88.7848358154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8095855713
validation[          , genome  6278] predictions:    5171/  10000 (51.71%), best:    5171/10000 (51.71%), error:     15624.22949, best error:     15624.22949 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1171.6013183594s, input_fired_time: 7.5502309799, output_fired_time: 7.2545280457, propagate_forward_time: 444.8424987793, propagate_backward_time: 701.4019165039, weight_update_time: 1.1322022676, other_time: 10.5521850586
epoch time: 91.2933578491s, input_fired_time: 0.9167391062, output_fired_time: 0.0000000000, propagate_forward_time: 88.5695114136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8071060181
validation[          , genome  6278] predictions:    5372/  10000 (53.72%), best:    5372/10000 (53.72%), error:     14324.77148, best error:     14324.77148 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1168.2207031250s, input_fired_time: 7.5115904808, output_fired_time: 7.1897115707, propagate_forward_time: 444.0779724121, propagate_backward_time: 698.9254760742, weight_update_time: 1.1287411451, other_time: 10.5159301758
epoch time: 91.2491760254s, input_fired_time: 0.9304106832, output_fired_time: 0.0000000000, propagate_forward_time: 88.5057067871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8130569458
validation[          , genome  6278] predictions:    5066/  10000 (50.66%), best:    5372/10000 (53.72%), error:     15982.85645, best error:     14324.77148 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1169.4199218750s, input_fired_time: 7.5165953636, output_fired_time: 7.1993813515, propagate_forward_time: 443.7666015625, propagate_backward_time: 700.4014892578, weight_update_time: 1.1326141357, other_time: 10.5358886719
epoch time: 91.1958465576s, input_fired_time: 0.9141099453, output_fired_time: 0.0000000000, propagate_forward_time: 88.4635162354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8182220459
validation[          , genome  6278] predictions:    5175/  10000 (51.75%), best:    5372/10000 (53.72%), error:     15792.83594, best error:     14324.77148 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1167.5506591797s, input_fired_time: 7.5156784058, output_fired_time: 7.2021365166, propagate_forward_time: 443.5487976074, propagate_backward_time: 698.7476196289, weight_update_time: 1.1313080788, other_time: 10.5364379883
epoch time: 91.2515945435s, input_fired_time: 0.9123976231, output_fired_time: 0.0000000000, propagate_forward_time: 88.5311203003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8080749512
validation[          , genome  6278] predictions:    4879/  10000 (48.79%), best:    5372/10000 (53.72%), error:     16468.19727, best error:     14324.77148 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1167.8503417969s, input_fired_time: 7.5278964043, output_fired_time: 7.2181000710, propagate_forward_time: 443.4897460938, propagate_backward_time: 699.0748901367, weight_update_time: 1.1265677214, other_time: 10.5396118164
epoch time: 92.5362167358s, input_fired_time: 0.9362496138, output_fired_time: 0.0000000000, propagate_forward_time: 89.7757720947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8241958618
validation[          , genome  6278] predictions:    5339/  10000 (53.39%), best:    5372/10000 (53.72%), error:     14914.20215, best error:     14324.77148 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1169.4881591797s, input_fired_time: 7.5486054420, output_fired_time: 7.2180638313, propagate_forward_time: 444.2654724121, propagate_backward_time: 699.9014282227, weight_update_time: 1.1265311241, other_time: 10.5546264648
epoch time: 91.4363861084s, input_fired_time: 0.9385150671, output_fired_time: 0.0000000000, propagate_forward_time: 88.6837081909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8141632080
validation[          , genome  6278] predictions:    5059/  10000 (50.59%), best:    5372/10000 (53.72%), error:     15695.07520, best error:     14324.77148 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1168.9471435547s, input_fired_time: 7.5362768173, output_fired_time: 7.2085084915, propagate_forward_time: 444.0135192871, propagate_backward_time: 699.6654663086, weight_update_time: 1.1235256195, other_time: 10.5233764648
epoch time: 91.2248687744s, input_fired_time: 0.9368821383, output_fired_time: 0.0000000000, propagate_forward_time: 88.4806594849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8073272705
validation[          , genome  6278] predictions:    5527/  10000 (55.27%), best:    5527/10000 (55.27%), error:     13530.05859, best error:     13530.05859 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1168.3350830078s, input_fired_time: 7.5335359573, output_fired_time: 7.1955752373, propagate_forward_time: 443.8633422852, propagate_backward_time: 699.2340698242, weight_update_time: 1.1328822374, other_time: 10.5085449219
epoch time: 91.3272323608s, input_fired_time: 0.9384210110, output_fired_time: 0.0000000000, propagate_forward_time: 88.5723648071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8164443970
validation[          , genome  6278] predictions:    5462/  10000 (54.62%), best:    5527/10000 (55.27%), error:     14053.78418, best error:     13530.05859 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1175.4046630859s, input_fired_time: 7.5847344398, output_fired_time: 7.2384610176, propagate_forward_time: 446.2893981934, propagate_backward_time: 703.7087402344, weight_update_time: 1.1382540464, other_time: 10.5833740234
epoch time: 91.3404922485s, input_fired_time: 0.9306945801, output_fired_time: 0.0000000000, propagate_forward_time: 88.5938415527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8159561157
validation[          , genome  6278] predictions:    5540/  10000 (55.40%), best:    5527/10000 (55.27%), error:     13838.75293, best error:     13530.05859 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1169.2087402344s, input_fired_time: 7.5614056587, output_fired_time: 7.2072057724, propagate_forward_time: 444.1031494141, propagate_backward_time: 699.8123168945, weight_update_time: 1.1208255291, other_time: 10.5247192383
epoch time: 91.3150329590s, input_fired_time: 0.9307131171, output_fired_time: 0.0000000000, propagate_forward_time: 88.5527572632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8315658569
validation[          , genome  6278] predictions:    5477/  10000 (54.77%), best:    5527/10000 (55.27%), error:     14669.38477, best error:     13530.05859 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1169.9047851563s, input_fired_time: 7.5784282684, output_fired_time: 7.2175345421, propagate_forward_time: 444.2813110352, propagate_backward_time: 700.2985839844, weight_update_time: 1.1309560537, other_time: 10.5289916992
epoch time: 91.4489059448s, input_fired_time: 0.9248486161, output_fired_time: 0.0000000000, propagate_forward_time: 88.7154693604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8085861206
validation[          , genome  6278] predictions:    5445/  10000 (54.45%), best:    5527/10000 (55.27%), error:     14174.50098, best error:     13530.05859 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1169.7698974609s, input_fired_time: 7.5582337379, output_fired_time: 7.2136783600, propagate_forward_time: 444.0741577148, propagate_backward_time: 700.4064331055, weight_update_time: 1.1293225288, other_time: 10.5174560547
epoch time: 91.2941970825s, input_fired_time: 0.9317730665, output_fired_time: 0.0000000000, propagate_forward_time: 88.5472030640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8152236938
validation[          , genome  6278] predictions:    5436/  10000 (54.36%), best:    5527/10000 (55.27%), error:     14249.67188, best error:     13530.05859 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1168.2955322266s, input_fired_time: 7.5715184212, output_fired_time: 7.2001204491, propagate_forward_time: 443.7390136719, propagate_backward_time: 699.2796020508, weight_update_time: 1.1196986437, other_time: 10.5053100586
epoch time: 91.6324768066s, input_fired_time: 0.9465338588, output_fired_time: 0.0000000000, propagate_forward_time: 88.8868331909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7991104126
validation[          , genome  6278] predictions:    5686/  10000 (56.86%), best:    5686/10000 (56.86%), error:     13333.04492, best error:     13333.04492 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1171.5104980469s, input_fired_time: 7.6076021194, output_fired_time: 7.2201871872, propagate_forward_time: 444.6935119629, propagate_backward_time: 701.4311523438, weight_update_time: 1.1390831470, other_time: 10.5581054688
epoch time: 91.5803833008s, input_fired_time: 0.9459175467, output_fired_time: 0.0000000000, propagate_forward_time: 88.8167037964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8177642822
validation[          , genome  6278] predictions:    5882/  10000 (58.82%), best:    5882/10000 (58.82%), error:     12899.05176, best error:     12899.05176 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1168.7019042969s, input_fired_time: 7.5940589905, output_fired_time: 7.2207427025, propagate_forward_time: 443.8619079590, propagate_backward_time: 699.5142822266, weight_update_time: 1.1286182404, other_time: 10.5108642578
epoch time: 91.4394912720s, input_fired_time: 0.9520114660, output_fired_time: 0.0000000000, propagate_forward_time: 88.6702957153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8171844482
validation[          , genome  6278] predictions:    5559/  10000 (55.59%), best:    5882/10000 (58.82%), error:     13467.53320, best error:     12899.05176 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1168.3229980469s, input_fired_time: 7.6043610573, output_fired_time: 7.1979937553, propagate_forward_time: 444.4212341309, propagate_backward_time: 698.5484619141, weight_update_time: 1.1423137188, other_time: 10.5509033203
epoch time: 91.2873001099s, input_fired_time: 0.9427621365, output_fired_time: 0.0000000000, propagate_forward_time: 88.5389862061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8055496216
validation[          , genome  6278] predictions:    5725/  10000 (57.25%), best:    5882/10000 (58.82%), error:     13440.50684, best error:     12899.05176 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1171.0992431641s, input_fired_time: 7.6200575829, output_fired_time: 7.2204041481, propagate_forward_time: 445.1302185059, propagate_backward_time: 700.6029663086, weight_update_time: 1.1300278902, other_time: 10.5254516602
epoch time: 91.4130020142s, input_fired_time: 0.9418869615, output_fired_time: 0.0000000000, propagate_forward_time: 88.6481552124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8229598999
validation[          , genome  6278] predictions:    5699/  10000 (56.99%), best:    5882/10000 (58.82%), error:     13079.43750, best error:     12899.05176 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1169.5233154297s, input_fired_time: 7.6297130585, output_fired_time: 7.1906685829, propagate_forward_time: 444.2819824219, propagate_backward_time: 699.9374389648, weight_update_time: 1.1259853840, other_time: 10.4834594727
epoch time: 91.2827453613s, input_fired_time: 0.9425907135, output_fired_time: 0.0000000000, propagate_forward_time: 88.5423736572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7977828979
validation[          , genome  6278] predictions:    5503/  10000 (55.03%), best:    5882/10000 (58.82%), error:     14561.71777, best error:     12899.05176 on epoch:    17, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1168.5717773438s, input_fired_time: 7.6118531227, output_fired_time: 7.1989159584, propagate_forward_time: 444.1080322266, propagate_backward_time: 699.1405029297, weight_update_time: 1.1398638487, other_time: 10.5124511719
epoch time: 91.3229522705s, input_fired_time: 0.9462671876, output_fired_time: 0.0000000000, propagate_forward_time: 88.5680465698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8086395264
validation[          , genome  6278] predictions:    5619/  10000 (56.19%), best:    5882/10000 (58.82%), error:     13540.58496, best error:     12899.05176 on epoch:    17, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1168.1756591797s, input_fired_time: 7.6269321442, output_fired_time: 7.1843805313, propagate_forward_time: 443.7417907715, propagate_backward_time: 699.1192016602, weight_update_time: 1.1307448149, other_time: 10.5033569336
epoch time: 91.5073013306s, input_fired_time: 0.9210381508, output_fired_time: 0.0000000000, propagate_forward_time: 88.7761611938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8101043701
validation[          , genome  6278] predictions:    5348/  10000 (53.48%), best:    5882/10000 (58.82%), error:     14398.94238, best error:     12899.05176 on epoch:    17, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1168.9089355469s, input_fired_time: 7.4534440041, output_fired_time: 7.2071275711, propagate_forward_time: 443.8122863770, propagate_backward_time: 699.9168701172, weight_update_time: 1.1264201403, other_time: 10.5191650391
epoch time: 91.2359085083s, input_fired_time: 0.9119675756, output_fired_time: 0.0000000000, propagate_forward_time: 88.5014419556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8225021362
validation[          , genome  6278] predictions:    5451/  10000 (54.51%), best:    5882/10000 (58.82%), error:     14153.27441, best error:     12899.05176 on epoch:    17, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1168.8048095703s, input_fired_time: 7.4855308533, output_fired_time: 7.2194876671, propagate_forward_time: 444.0938110352, propagate_backward_time: 699.5133056641, weight_update_time: 1.1264882088, other_time: 10.4927368164
epoch time: 91.6227722168s, input_fired_time: 0.9319366217, output_fired_time: 0.0000000000, propagate_forward_time: 88.8781127930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8127212524
validation[          , genome  6278] predictions:    5501/  10000 (55.01%), best:    5882/10000 (58.82%), error:     13507.03711, best error:     12899.05176 on epoch:    17, 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: 459.6676940918s, input_fired_time: 4.7435364723, output_fired_time: 0.0000000000, propagate_forward_time: 445.7630310059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.1611328125
best training[          , genome  6278] predictions:   32371/  50000 (64.74%), best:    5882/10000 (58.82%), error:     52588.44531, best error:     12899.05176 on epoch:    17, 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: 91.4160995483s, input_fired_time: 0.9441888928, output_fired_time: 0.0000000000, propagate_forward_time: 88.6399841309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8319244385
   testing[          , genome  6278] predictions:    5882/  10000 (58.82%), best:    5882/10000 (58.82%), error:     12899.05176, best error:     12899.05176 on epoch:    17, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
02:41:13 (7668): called boinc_finish(0)

</stderr_txt>
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