Nameexact_genome_1542727803_169_6414_1
Workunit4101334
Created20 Nov 2018, 20:16:51 UTC
Sent20 Nov 2018, 20:17:42 UTC
Report deadline21 Dec 2018, 5:38:08 UTC
Received23 Nov 2018, 4:04:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88573
Run time14 hours 41 min 1 sec
CPU time14 hours 40 min 58 sec
Validate stateValid
Credit7,597.30
Device peak FLOPS3.35 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.59 MB
Peak swap size523.55 MB
Peak disk usage12.95 MB

Stderr output

<core_client_version>7.6.22</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_1542727803_169_6414.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_169_6414_1_r1355593691_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_169_6414.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: 6414
read normal distribution: '0 -3.21307754516602 -0.716029942035675'
generator_str: '1148683042'
read generator: 1148683042
read generated_by_map:
1 split_edge 1
reading 116 nodes.
reading 444 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: 37900364
post shuffle 1: 388384613
epoch time: 1800.408203125s, input_fired_time: 13.1953020095825, output_fired_time: 12.0106296539307, propagate_forward_time: 698.029602050781, propagate_backward_time: 1058.99389648438, weight_update_time: 1.7990425825119, other_time: 18.1787109375
epoch time: 107.417327880859s, input_fired_time: 1.37457704544067, output_fired_time: 0, propagate_forward_time: 103.163703918457, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.87904357910156
validation[          , genome  6414] predictions:    5038/  10000 (50.38%), best:    5038/10000 (50.38%), error:     17697.57422, best error:     17697.57422 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1658.2011718750s, input_fired_time: 12.5242795944, output_fired_time: 11.0613412857, propagate_forward_time: 639.3796997070, propagate_backward_time: 977.7374877930, weight_update_time: 1.7058417797, other_time: 17.4982910156
epoch time: 193.9689483643s, input_fired_time: 1.9883346558, output_fired_time: 0.0000000000, propagate_forward_time: 188.4676361084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5129852295
validation[          , genome  6414] predictions:    5403/  10000 (54.03%), best:    5403/10000 (54.03%), error:     15028.41113, best error:     15028.41113 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1835.2407226563s, input_fired_time: 13.2173023224, output_fired_time: 12.2086505890, propagate_forward_time: 713.2739868164, propagate_backward_time: 1078.3267822266, weight_update_time: 1.8192726374, other_time: 18.2139892578
epoch time: 138.3185577393s, input_fired_time: 1.5888390541, output_fired_time: 0.0000000000, propagate_forward_time: 133.6127777100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1169433594
validation[          , genome  6414] predictions:    5369/  10000 (53.69%), best:    5369/10000 (53.69%), error:     14561.56738, best error:     14561.56738 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1851.4360351563s, input_fired_time: 13.0175848007, output_fired_time: 12.3195457458, propagate_forward_time: 719.4335327148, propagate_backward_time: 1088.7659912109, weight_update_time: 1.8034913540, other_time: 17.8992919922
epoch time: 101.9869689941s, input_fired_time: 1.3170826435, output_fired_time: 0.0000000000, propagate_forward_time: 97.8127899170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8570938110
validation[          , genome  6414] predictions:    5040/  10000 (50.40%), best:    5369/10000 (53.69%), error:     16814.93359, best error:     14561.56738 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1865.2416992188s, input_fired_time: 13.1633014679, output_fired_time: 12.3770895004, propagate_forward_time: 726.4967651367, propagate_backward_time: 1095.1280517578, weight_update_time: 1.8240057230, other_time: 18.0765380859
epoch time: 171.3293457031s, input_fired_time: 1.8003754616, output_fired_time: 0.0000000000, propagate_forward_time: 166.1644592285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3645172119
validation[          , genome  6414] predictions:    5408/  10000 (54.08%), best:    5369/10000 (53.69%), error:     14562.28125, best error:     14561.56738 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1734.0754394531s, input_fired_time: 12.7366504669, output_fired_time: 11.5771160126, propagate_forward_time: 670.3433837891, propagate_backward_time: 1021.6246337891, weight_update_time: 1.7510136366, other_time: 17.7935791016
epoch time: 160.3988037109s, input_fired_time: 1.7333877087, output_fired_time: 0.0000000000, propagate_forward_time: 155.3958435059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2695770264
validation[          , genome  6414] predictions:    5279/  10000 (52.79%), best:    5369/10000 (53.69%), error:     14978.47656, best error:     14561.56738 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1939.8634033203s, input_fired_time: 13.5883779526, output_fired_time: 12.8892831802, propagate_forward_time: 755.4511718750, propagate_backward_time: 1139.2974853516, weight_update_time: 1.8827912807, other_time: 18.6370849609
epoch time: 167.9278869629s, input_fired_time: 1.7849763632, output_fired_time: 0.0000000000, propagate_forward_time: 162.8108215332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3320922852
validation[          , genome  6414] predictions:    5213/  10000 (52.13%), best:    5369/10000 (53.69%), error:     15589.44824, best error:     14561.56738 on epoch:     2, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1739.6914062500s, input_fired_time: 12.6631088257, output_fired_time: 11.5526819229, propagate_forward_time: 673.0240478516, propagate_backward_time: 1024.7249755859, weight_update_time: 1.7522313595, other_time: 17.7265625000
epoch time: 155.5163726807s, input_fired_time: 1.6266623735, output_fired_time: 0.0000000000, propagate_forward_time: 150.7668762207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1228332520
validation[          , genome  6414] predictions:    5436/  10000 (54.36%), best:    5436/10000 (54.36%), error:     14395.24707, best error:     14395.24707 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1978.1756591797s, input_fired_time: 13.6500453949, output_fired_time: 13.1458158493, propagate_forward_time: 771.3294067383, propagate_backward_time: 1161.4971923828, weight_update_time: 1.8922307491, other_time: 18.5531005859
epoch time: 177.7004699707s, input_fired_time: 1.8585236073, output_fired_time: 0.0000000000, propagate_forward_time: 172.4041442871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4378051758
validation[          , genome  6414] predictions:    5480/  10000 (54.80%), best:    5480/10000 (54.80%), error:     13829.89844, best error:     13829.89844 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1686.7636718750s, input_fired_time: 12.4972095490, output_fired_time: 11.2548666000, propagate_forward_time: 652.0304565430, propagate_backward_time: 993.3045043945, weight_update_time: 1.7144724131, other_time: 17.6766357422
epoch time: 159.2382659912s, input_fired_time: 1.6353584528, output_fired_time: 0.0000000000, propagate_forward_time: 154.5127105713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0901947021
validation[          , genome  6414] predictions:    5350/  10000 (53.50%), best:    5480/10000 (54.80%), error:     14637.45508, best error:     13829.89844 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1914.0269775391s, input_fired_time: 13.3330450058, output_fired_time: 12.6724090576, propagate_forward_time: 744.6209716797, propagate_backward_time: 1125.0809326172, weight_update_time: 1.8496135473, other_time: 18.3197021484
epoch time: 166.2867736816s, input_fired_time: 1.7836053371, output_fired_time: 0.0000000000, propagate_forward_time: 161.1688995361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3342742920
validation[          , genome  6414] predictions:    5507/  10000 (55.07%), best:    5480/10000 (54.80%), error:     14383.78125, best error:     13829.89844 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1792.1997070313s, input_fired_time: 12.4493875504, output_fired_time: 11.8141870499, propagate_forward_time: 693.8171386719, propagate_backward_time: 1057.0787353516, weight_update_time: 1.7410621643, other_time: 17.0402832031
epoch time: 127.5446319580s, input_fired_time: 1.4216290712, output_fired_time: 0.0000000000, propagate_forward_time: 123.2547378540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8682632446
validation[          , genome  6414] predictions:    5498/  10000 (54.98%), best:    5480/10000 (54.80%), error:     14147.98438, best error:     13829.89844 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1948.8327636719s, input_fired_time: 13.0918550491, output_fired_time: 12.7786779404, propagate_forward_time: 759.6699218750, propagate_backward_time: 1145.7005615234, weight_update_time: 1.8347692490, other_time: 17.5917968750
epoch time: 177.8685455322s, input_fired_time: 1.7769372463, output_fired_time: 0.0000000000, propagate_forward_time: 172.8577575684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2338562012
validation[          , genome  6414] predictions:    5394/  10000 (53.94%), best:    5480/10000 (54.80%), error:     14969.18652, best error:     13829.89844 on epoch:     8, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1933.6876220703s, input_fired_time: 13.0576601028, output_fired_time: 12.7156581879, propagate_forward_time: 754.6554565430, propagate_backward_time: 1135.6785888672, weight_update_time: 1.8270810843, other_time: 17.5802001953
epoch time: 184.3985290527s, input_fired_time: 1.8260304928, output_fired_time: 0.0000000000, propagate_forward_time: 179.3012390137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2712554932
validation[          , genome  6414] predictions:    5526/  10000 (55.26%), best:    5526/10000 (55.26%), error:     13707.21582, best error:     13707.21582 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1860.9455566406s, input_fired_time: 12.7709894180, output_fired_time: 12.2592897415, propagate_forward_time: 723.0825195313, propagate_backward_time: 1095.4643554688, weight_update_time: 1.7872322798, other_time: 17.3684082031
epoch time: 129.0305480957s, input_fired_time: 1.4327639341, output_fired_time: 0.0000000000, propagate_forward_time: 124.7107620239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8870239258
validation[          , genome  6414] predictions:    5608/  10000 (56.08%), best:    5526/10000 (55.26%), error:     13955.28223, best error:     13707.21582 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1867.2683105469s, input_fired_time: 13.4605884552, output_fired_time: 12.4845037460, propagate_forward_time: 724.5748291016, propagate_backward_time: 1098.0715332031, weight_update_time: 1.8409125805, other_time: 18.6768798828
epoch time: 105.8478469849s, input_fired_time: 1.3702462912, output_fired_time: 0.0000000000, propagate_forward_time: 101.4763412476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0012588501
validation[          , genome  6414] predictions:    5362/  10000 (53.62%), best:    5526/10000 (55.26%), error:     14481.84766, best error:     13707.21582 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1923.2917480469s, input_fired_time: 13.4861459732, output_fired_time: 12.7791538239, propagate_forward_time: 747.7914428711, propagate_backward_time: 1130.8165283203, weight_update_time: 1.8598619699, other_time: 18.4183349609
epoch time: 157.5572967529s, input_fired_time: 1.6338707209, output_fired_time: 0.0000000000, propagate_forward_time: 152.7987518311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1246795654
validation[          , genome  6414] predictions:    5590/  10000 (55.90%), best:    5590/10000 (55.90%), error:     13559.93262, best error:     13559.93262 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1685.0738525391s, input_fired_time: 12.1339912415, output_fired_time: 11.1224050522, propagate_forward_time: 650.6192626953, propagate_backward_time: 994.2063598633, weight_update_time: 1.6784718037, other_time: 16.9917602539
epoch time: 190.2602996826s, input_fired_time: 1.8789815903, output_fired_time: 0.0000000000, propagate_forward_time: 185.0704193115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3108978271
validation[          , genome  6414] predictions:    5778/  10000 (57.78%), best:    5778/10000 (57.78%), error:     13263.86328, best error:     13263.86328 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2067.9382324219s, input_fired_time: 13.6936149597, output_fired_time: 13.6299381256, propagate_forward_time: 809.5260620117, propagate_backward_time: 1212.8944091797, weight_update_time: 1.9095669985, other_time: 18.1942138672
epoch time: 152.9808654785s, input_fired_time: 1.6069891453, output_fired_time: 0.0000000000, propagate_forward_time: 148.2958984375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0779724121
validation[          , genome  6414] predictions:    5518/  10000 (55.18%), best:    5778/10000 (57.78%), error:     13820.33008, best error:     13263.86328 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1840.4819335938s, input_fired_time: 12.9888114929, output_fired_time: 12.1959486008, propagate_forward_time: 714.9570922852, propagate_backward_time: 1082.5736083984, weight_update_time: 1.7907458544, other_time: 17.7664794922
epoch time: 173.1373291016s, input_fired_time: 1.8251379728, output_fired_time: 0.0000000000, propagate_forward_time: 167.9456024170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3665924072
validation[          , genome  6414] predictions:    5618/  10000 (56.18%), best:    5778/10000 (57.78%), error:     14443.31445, best error:     13263.86328 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1865.2376708984s, input_fired_time: 13.2177639008, output_fired_time: 12.3816862106, propagate_forward_time: 724.5780639648, propagate_backward_time: 1097.0551757813, weight_update_time: 1.8121709824, other_time: 18.0048828125
epoch time: 145.6680603027s, input_fired_time: 1.6484028101, output_fired_time: 0.0000000000, propagate_forward_time: 140.8552093506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1644439697
validation[          , genome  6414] predictions:    5704/  10000 (57.04%), best:    5778/10000 (57.78%), error:     13705.19531, best error:     13263.86328 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1860.7648925781s, input_fired_time: 13.4239854813, output_fired_time: 12.4003849030, propagate_forward_time: 723.2091674805, propagate_backward_time: 1093.4259033203, weight_update_time: 1.8321316242, other_time: 18.3055419922
epoch time: 163.8094482422s, input_fired_time: 1.7815648317, output_fired_time: 0.0000000000, propagate_forward_time: 158.7464904785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2813873291
validation[          , genome  6414] predictions:    5827/  10000 (58.27%), best:    5827/10000 (58.27%), error:     12693.60840, best error:     12693.60840 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1614.2940673828s, input_fired_time: 12.0232095718, output_fired_time: 10.7133808136, propagate_forward_time: 621.0797119141, propagate_backward_time: 953.5282592773, weight_update_time: 1.6486334801, other_time: 16.9495239258
epoch time: 168.8501586914s, input_fired_time: 1.7386819124, output_fired_time: 0.0000000000, propagate_forward_time: 163.9374542236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1740264893
validation[          , genome  6414] predictions:    5592/  10000 (55.92%), best:    5827/10000 (58.27%), error:     13959.83887, best error:     12693.60840 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1869.6502685547s, input_fired_time: 13.0464267731, output_fired_time: 12.3654060364, propagate_forward_time: 727.4623413086, propagate_backward_time: 1099.1226806641, weight_update_time: 1.7972407341, other_time: 17.6534423828
epoch time: 166.0212554932s, input_fired_time: 1.7105158567, output_fired_time: 0.0000000000, propagate_forward_time: 161.1423034668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1684417725
validation[          , genome  6414] predictions:    5839/  10000 (58.39%), best:    5827/10000 (58.27%), error:     13097.80273, best error:     12693.60840 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2000.5023193359s, input_fired_time: 13.4922456741, output_fired_time: 13.1983366013, propagate_forward_time: 780.5949707031, propagate_backward_time: 1175.1824951172, weight_update_time: 1.8696621656, other_time: 18.0343017578
epoch time: 106.1165084839s, input_fired_time: 1.2970559597, output_fired_time: 0.0000000000, propagate_forward_time: 101.9782943726, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8411560059
validation[          , genome  6414] predictions:    5809/  10000 (58.09%), best:    5827/10000 (58.27%), error:     13435.95313, best error:     12693.60840 on epoch:    21, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1880.9187011719s, input_fired_time: 13.0288133621, output_fired_time: 12.4109020233, propagate_forward_time: 731.7412719727, propagate_backward_time: 1106.1220703125, weight_update_time: 1.7964442968, other_time: 17.6157226563
epoch time: 107.2778167725s, input_fired_time: 1.3081982136, output_fired_time: 0.0000000000, propagate_forward_time: 103.1796340942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7899856567
validation[          , genome  6414] predictions:    5696/  10000 (56.96%), best:    5827/10000 (58.27%), error:     13709.02441, best error:     12693.60840 on epoch:    21, 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: 706.1533813477s, input_fired_time: 8.1002244949, output_fired_time: 0.0000000000, propagate_forward_time: 682.2516479492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.8015136719
best training[          , genome  6414] predictions:   33158/  50000 (66.32%), best:    5827/10000 (58.27%), error:     49058.45313, best error:     12693.60840 on epoch:    21, 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: 164.5102386475s, input_fired_time: 1.7869666815, output_fired_time: 0.0000000000, propagate_forward_time: 159.4327850342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2904815674
   testing[          , genome  6414] predictions:    5827/  10000 (58.27%), best:    5827/10000 (58.27%), error:     12693.60840, best error:     12693.60840 on epoch:    21, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
22:02:04 (3428): called boinc_finish(0)

</stderr_txt>
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