Nameexact_genome_1542649503_174_6334_0
Workunit4099387
Created20 Nov 2018, 2:10:55 UTC
Sent20 Nov 2018, 2:11:17 UTC
Report deadline31 Dec 2018, 7:28:13 UTC
Received21 Nov 2018, 11:11:41 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time10 hours 35 min 16 sec
CPU time10 hours 32 min 48 sec
Validate stateValid
Credit10,305.02
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.28 MB
Peak swap size543.98 MB
Peak disk usage9.26 MB

Stderr output

<core_client_version>7.8.3</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_1542649503_174_6334.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6334_0_r327155322_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6334.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: 50
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: 6334
read normal distribution: '0 -1.7518298625946 -0.444351702928543'
generator_str: '1158644292'
read generator: 1158644292
read generated_by_map:
1 split_edge 1
reading 87 nodes.
reading 298 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: 2100388295
post shuffle 1: 1431261901
epoch time: 698.674682617188s, input_fired_time: 6.97516012191772, output_fired_time: 4.70860385894775, propagate_forward_time: 197.561172485352, propagate_backward_time: 482.451110839844, weight_update_time: 0.721413433551788, other_time: 6.9786376953125
epoch time: 41.3670692443848s, input_fired_time: 0.71221786737442, output_fired_time: 0, propagate_forward_time: 39.4688148498535, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.18603515625
validation[          , genome  6334] predictions:    5144/  10000 (51.44%), best:    5144/10000 (51.44%), error:     16466.72852, best error:     16466.72852 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 699.4033203125s, input_fired_time: 6.8937182426, output_fired_time: 4.7068281174, propagate_forward_time: 197.6999359131, propagate_backward_time: 482.9497985840, weight_update_time: 0.7262480855, other_time: 7.1529846191
epoch time: 41.3650436401s, input_fired_time: 0.6976572275, output_fired_time: 0.0000000000, propagate_forward_time: 39.4807434082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1866416931
validation[          , genome  6334] predictions:    4995/  10000 (49.95%), best:    5144/10000 (51.44%), error:     16857.05664, best error:     16466.72852 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 698.9299926758s, input_fired_time: 6.8511657715, output_fired_time: 4.7117652893, propagate_forward_time: 197.6337280273, propagate_backward_time: 482.5760192871, weight_update_time: 0.7240028977, other_time: 7.1573181152
epoch time: 41.3500709534s, input_fired_time: 0.7009678483, output_fired_time: 0.0000000000, propagate_forward_time: 39.4529914856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1961097717
validation[          , genome  6334] predictions:    4880/  10000 (48.80%), best:    5144/10000 (51.44%), error:     16869.14453, best error:     16466.72852 on epoch:     0, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 698.7630615234s, input_fired_time: 6.8180150986, output_fired_time: 4.7118787766, propagate_forward_time: 197.5984802246, propagate_backward_time: 482.5909118652, weight_update_time: 0.7239699364, other_time: 7.0438232422
epoch time: 41.3996200562s, input_fired_time: 0.6970121861, output_fired_time: 0.0000000000, propagate_forward_time: 39.4995155334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2030906677
validation[          , genome  6334] predictions:    5290/  10000 (52.90%), best:    5290/10000 (52.90%), error:     15070.40527, best error:     15070.40527 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 698.9286499023s, input_fired_time: 6.8113689423, output_fired_time: 4.7148733139, propagate_forward_time: 197.6719512939, propagate_backward_time: 482.6015625000, weight_update_time: 0.7235345244, other_time: 7.1289672852
epoch time: 41.3818359375s, input_fired_time: 0.6968404651, output_fired_time: 0.0000000000, propagate_forward_time: 39.4896812439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1953125000
validation[          , genome  6334] predictions:    5114/  10000 (51.14%), best:    5290/10000 (52.90%), error:     15329.50391, best error:     15070.40527 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 699.8025512695s, input_fired_time: 6.7943525314, output_fired_time: 4.7113585472, propagate_forward_time: 197.7370910645, propagate_backward_time: 483.4480590820, weight_update_time: 0.7242448330, other_time: 7.1116638184
epoch time: 41.4791793823s, input_fired_time: 0.6960169077, output_fired_time: 0.0000000000, propagate_forward_time: 39.5832748413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1998863220
validation[          , genome  6334] predictions:    4967/  10000 (49.67%), best:    5290/10000 (52.90%), error:     16035.97852, best error:     15070.40527 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 699.4144287109s, input_fired_time: 6.7930669785, output_fired_time: 4.7169857025, propagate_forward_time: 197.7729797363, propagate_backward_time: 482.9556884766, weight_update_time: 0.7257885933, other_time: 7.1756896973
epoch time: 41.3849868774s, input_fired_time: 0.6846537590, output_fired_time: 0.0000000000, propagate_forward_time: 39.5089645386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1913681030
validation[          , genome  6334] predictions:    4536/  10000 (45.36%), best:    5290/10000 (52.90%), error:     18855.31836, best error:     15070.40527 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 698.9667968750s, input_fired_time: 6.7899632454, output_fired_time: 4.7098479271, propagate_forward_time: 197.5912780762, propagate_backward_time: 482.8126525879, weight_update_time: 0.7216444612, other_time: 7.0630493164
epoch time: 41.4049568176s, input_fired_time: 0.6888750196, output_fired_time: 0.0000000000, propagate_forward_time: 39.5171394348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1989440918
validation[          , genome  6334] predictions:    5252/  10000 (52.52%), best:    5252/10000 (52.52%), error:     15052.25586, best error:     15052.25586 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 699.2615966797s, input_fired_time: 6.7936582565, output_fired_time: 4.7083096504, propagate_forward_time: 197.6717681885, propagate_backward_time: 482.9307250977, weight_update_time: 0.7232415676, other_time: 7.1571655273
epoch time: 41.3673706055s, input_fired_time: 0.6886832714, output_fired_time: 0.0000000000, propagate_forward_time: 39.4943733215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1843147278
validation[          , genome  6334] predictions:    5164/  10000 (51.64%), best:    5252/10000 (52.52%), error:     15241.80273, best error:     15052.25586 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 699.2498168945s, input_fired_time: 6.8157310486, output_fired_time: 4.7131633759, propagate_forward_time: 197.7876281738, propagate_backward_time: 482.8129272461, weight_update_time: 0.7228005528, other_time: 7.1203918457
epoch time: 41.3458175659s, input_fired_time: 0.6878339648, output_fired_time: 0.0000000000, propagate_forward_time: 39.4641838074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1937980652
validation[          , genome  6334] predictions:    5349/  10000 (53.49%), best:    5349/10000 (53.49%), error:     14465.73633, best error:     14465.73633 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 698.8618774414s, input_fired_time: 6.8035931587, output_fired_time: 4.7132587433, propagate_forward_time: 197.5275878906, propagate_backward_time: 482.7137756348, weight_update_time: 0.7210012078, other_time: 7.1036682129
epoch time: 41.4218521118s, input_fired_time: 0.6951826811, output_fired_time: 0.0000000000, propagate_forward_time: 39.5277862549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1988830566
validation[          , genome  6334] predictions:    5196/  10000 (51.96%), best:    5349/10000 (53.49%), error:     15141.53320, best error:     14465.73633 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 699.0614013672s, input_fired_time: 6.8204936981, output_fired_time: 4.7157917023, propagate_forward_time: 197.6719970703, propagate_backward_time: 482.7475891113, weight_update_time: 0.7212253809, other_time: 7.1054992676
epoch time: 41.3213272095s, input_fired_time: 0.6879541874, output_fired_time: 0.0000000000, propagate_forward_time: 39.4477386475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1856346130
validation[          , genome  6334] predictions:    5394/  10000 (53.94%), best:    5394/10000 (53.94%), error:     14033.97168, best error:     14033.97168 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 699.0863037109s, input_fired_time: 6.8095612526, output_fired_time: 4.7047233582, propagate_forward_time: 197.6211395264, propagate_backward_time: 482.8084716797, weight_update_time: 0.7262524366, other_time: 7.1423950195
epoch time: 41.3763160706s, input_fired_time: 0.6992585659, output_fired_time: 0.0000000000, propagate_forward_time: 39.4824333191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1946258545
validation[          , genome  6334] predictions:    5544/  10000 (55.44%), best:    5544/10000 (55.44%), error:     13893.07520, best error:     13893.07520 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 698.7251586914s, input_fired_time: 6.8045477867, output_fired_time: 4.7086076736, propagate_forward_time: 197.5951843262, propagate_backward_time: 482.4764404297, weight_update_time: 0.7211123109, other_time: 7.1403503418
epoch time: 41.4116363525s, input_fired_time: 0.6968467236, output_fired_time: 0.0000000000, propagate_forward_time: 39.5038490295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2109413147
validation[          , genome  6334] predictions:    5287/  10000 (52.87%), best:    5544/10000 (55.44%), error:     15074.30859, best error:     13893.07520 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 700.6983642578s, input_fired_time: 6.8366618156, output_fired_time: 4.7143721581, propagate_forward_time: 198.0532684326, propagate_backward_time: 483.9110412598, weight_update_time: 0.7230888605, other_time: 7.1830139160
epoch time: 41.3905143738s, input_fired_time: 0.7013639808, output_fired_time: 0.0000000000, propagate_forward_time: 39.4914588928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1976928711
validation[          , genome  6334] predictions:    5389/  10000 (53.89%), best:    5544/10000 (55.44%), error:     14500.27344, best error:     13893.07520 on epoch:    12, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 698.8649291992s, input_fired_time: 6.8233289719, output_fired_time: 4.7121863365, propagate_forward_time: 197.5645904541, propagate_backward_time: 482.6989440918, weight_update_time: 0.7235995531, other_time: 7.0659484863
epoch time: 41.3721313477s, input_fired_time: 0.6902922392, output_fired_time: 0.0000000000, propagate_forward_time: 39.4941062927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1877326965
validation[          , genome  6334] predictions:    5620/  10000 (56.20%), best:    5620/10000 (56.20%), error:     13502.98730, best error:     13502.98730 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 698.7379760742s, input_fired_time: 6.8312916756, output_fired_time: 4.7124271393, propagate_forward_time: 197.6376342773, propagate_backward_time: 482.4399108887, weight_update_time: 0.7233049870, other_time: 7.1167297363
epoch time: 41.4098014832s, input_fired_time: 0.6978510618, output_fired_time: 0.0000000000, propagate_forward_time: 39.5173416138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1946105957
validation[          , genome  6334] predictions:    5535/  10000 (55.35%), best:    5620/10000 (56.20%), error:     13656.95117, best error:     13502.98730 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 698.5965576172s, input_fired_time: 6.8395299911, output_fired_time: 4.7027721405, propagate_forward_time: 197.4795227051, propagate_backward_time: 482.4408569336, weight_update_time: 0.7236775160, other_time: 7.1338806152
epoch time: 41.3171997070s, input_fired_time: 0.6982358694, output_fired_time: 0.0000000000, propagate_forward_time: 39.4325332642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1864318848
validation[          , genome  6334] predictions:    5370/  10000 (53.70%), best:    5620/10000 (56.20%), error:     14348.16406, best error:     13502.98730 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 699.2730712891s, input_fired_time: 6.8529114723, output_fired_time: 4.7079906464, propagate_forward_time: 197.7349853516, propagate_backward_time: 482.8548583984, weight_update_time: 0.7245578170, other_time: 7.1223144531
epoch time: 41.4149169922s, input_fired_time: 0.7136250734, output_fired_time: 0.0000000000, propagate_forward_time: 39.5059204102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1953697205
validation[          , genome  6334] predictions:    5393/  10000 (53.93%), best:    5620/10000 (56.20%), error:     13928.25195, best error:     13502.98730 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 698.9720458984s, input_fired_time: 6.8514461517, output_fired_time: 4.7053904533, propagate_forward_time: 197.6591796875, propagate_backward_time: 482.6308898926, weight_update_time: 0.7267782688, other_time: 7.1251525879
epoch time: 41.3417778015s, input_fired_time: 0.6998595595, output_fired_time: 0.0000000000, propagate_forward_time: 39.4517555237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1901626587
validation[          , genome  6334] predictions:    5488/  10000 (54.88%), best:    5620/10000 (56.20%), error:     13849.88379, best error:     13502.98730 on epoch:    15, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 698.5410156250s, input_fired_time: 6.8470406532, output_fired_time: 4.7114338875, propagate_forward_time: 197.4785156250, propagate_backward_time: 482.4080810547, weight_update_time: 0.7216580510, other_time: 7.0959472656
epoch time: 41.4194984436s, input_fired_time: 0.7006524205, output_fired_time: 0.0000000000, propagate_forward_time: 39.5279502869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1908950806
validation[          , genome  6334] predictions:    5480/  10000 (54.80%), best:    5620/10000 (56.20%), error:     13888.05859, best error:     13502.98730 on epoch:    15, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 700.5588378906s, input_fired_time: 6.8880338669, output_fired_time: 4.7240195274, propagate_forward_time: 198.2769317627, propagate_backward_time: 483.5635681152, weight_update_time: 0.7252946496, other_time: 7.1062927246
epoch time: 41.3834037781s, input_fired_time: 0.7062737942, output_fired_time: 0.0000000000, propagate_forward_time: 39.4762535095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2008781433
validation[          , genome  6334] predictions:    5613/  10000 (56.13%), best:    5620/10000 (56.20%), error:     13537.30957, best error:     13502.98730 on epoch:    15, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 699.0928955078s, input_fired_time: 6.8847813606, output_fired_time: 4.7101602554, propagate_forward_time: 197.6480407715, propagate_backward_time: 482.7274169922, weight_update_time: 0.7227862477, other_time: 7.1225280762
epoch time: 41.3936386108s, input_fired_time: 0.7027415633, output_fired_time: 0.0000000000, propagate_forward_time: 39.4906463623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2002525330
validation[          , genome  6334] predictions:    5489/  10000 (54.89%), best:    5620/10000 (56.20%), error:     13703.66797, best error:     13502.98730 on epoch:    15, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 698.8770141602s, input_fired_time: 6.9035482407, output_fired_time: 4.7053737640, propagate_forward_time: 197.7192687988, propagate_backward_time: 482.5508728027, weight_update_time: 0.7220267653, other_time: 6.9979248047
epoch time: 41.3650817871s, input_fired_time: 0.7084385157, output_fired_time: 0.0000000000, propagate_forward_time: 39.4683990479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1882438660
validation[          , genome  6334] predictions:    5465/  10000 (54.65%), best:    5620/10000 (56.20%), error:     13964.03711, best error:     13502.98730 on epoch:    15, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 699.3826904297s, input_fired_time: 6.9084744453, output_fired_time: 4.7074875832, propagate_forward_time: 197.7402801514, propagate_backward_time: 482.8347473145, weight_update_time: 0.7246946692, other_time: 7.1917419434
epoch time: 41.4321937561s, input_fired_time: 0.7128742337, output_fired_time: 0.0000000000, propagate_forward_time: 39.5281982422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1911201477
validation[          , genome  6334] predictions:    5630/  10000 (56.30%), best:    5620/10000 (56.20%), error:     13606.10449, best error:     13502.98730 on epoch:    15, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 699.2494506836s, input_fired_time: 6.9008045197, output_fired_time: 4.7061858177, propagate_forward_time: 197.6079864502, propagate_backward_time: 482.8681335449, weight_update_time: 0.7229053378, other_time: 7.1663513184
epoch time: 41.4030685425s, input_fired_time: 0.7155604362, output_fired_time: 0.0000000000, propagate_forward_time: 39.4902915955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1972160339
validation[          , genome  6334] predictions:    5602/  10000 (56.02%), best:    5602/10000 (56.02%), error:     13282.44727, best error:     13282.44727 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 699.5059204102s, input_fired_time: 6.9099392891, output_fired_time: 4.7181940079, propagate_forward_time: 197.6671447754, propagate_backward_time: 483.0810852051, weight_update_time: 0.7244778872, other_time: 7.1295776367
epoch time: 41.3922843933s, input_fired_time: 0.7126060724, output_fired_time: 0.0000000000, propagate_forward_time: 39.4821166992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1975631714
validation[          , genome  6334] predictions:    5584/  10000 (55.84%), best:    5584/10000 (55.84%), error:     13228.56348, best error:     13228.56348 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 698.6518554688s, input_fired_time: 6.9072413445, output_fired_time: 4.7104721069, propagate_forward_time: 197.3671875000, propagate_backward_time: 482.6147460938, weight_update_time: 0.7237818241, other_time: 7.0522460938
epoch time: 41.4542579651s, input_fired_time: 0.7127592564, output_fired_time: 0.0000000000, propagate_forward_time: 39.5524177551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1890792847
validation[          , genome  6334] predictions:    5694/  10000 (56.94%), best:    5694/10000 (56.94%), error:     12924.95898, best error:     12924.95898 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 699.2273559570s, input_fired_time: 6.9201841354, output_fired_time: 4.7122488022, propagate_forward_time: 197.7409057617, propagate_backward_time: 482.6997070313, weight_update_time: 0.7242742777, other_time: 7.1543579102
epoch time: 41.4510955811s, input_fired_time: 0.7195638418, output_fired_time: 0.0000000000, propagate_forward_time: 39.5234527588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2080802917
validation[          , genome  6334] predictions:    5764/  10000 (57.64%), best:    5694/10000 (56.94%), error:     13080.05273, best error:     12924.95898 on epoch:    27, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 698.9906616211s, input_fired_time: 6.9411354065, output_fired_time: 4.7063794136, propagate_forward_time: 197.6688690186, propagate_backward_time: 482.5512390137, weight_update_time: 0.7213754058, other_time: 7.1230163574
epoch time: 41.4096145630s, input_fired_time: 0.7171304822, output_fired_time: 0.0000000000, propagate_forward_time: 39.4957008362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1967849731
validation[          , genome  6334] predictions:    5700/  10000 (57.00%), best:    5694/10000 (56.94%), error:     13454.44922, best error:     12924.95898 on epoch:    27, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 698.8360595703s, input_fired_time: 6.9417181015, output_fired_time: 4.7059550285, propagate_forward_time: 197.5591430664, propagate_backward_time: 482.5062866211, weight_update_time: 0.7219056487, other_time: 7.1229858398
epoch time: 41.4274864197s, input_fired_time: 0.7273263335, output_fired_time: 0.0000000000, propagate_forward_time: 39.5111961365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1889648438
validation[          , genome  6334] predictions:    5751/  10000 (57.51%), best:    5694/10000 (56.94%), error:     13099.79590, best error:     12924.95898 on epoch:    27, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 699.4018554688s, input_fired_time: 6.9540948868, output_fired_time: 4.7080430984, propagate_forward_time: 197.7244720459, propagate_backward_time: 482.8592224121, weight_update_time: 0.7235201597, other_time: 7.1559753418
epoch time: 41.4010620117s, input_fired_time: 0.7198501229, output_fired_time: 0.0000000000, propagate_forward_time: 39.4890556335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1921577454
validation[          , genome  6334] predictions:    5800/  10000 (58.00%), best:    5800/10000 (58.00%), error:     12793.83105, best error:     12793.83105 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 699.0411376953s, input_fired_time: 6.9536395073, output_fired_time: 4.7177233696, propagate_forward_time: 197.5190124512, propagate_backward_time: 482.7085876465, weight_update_time: 0.7229273319, other_time: 7.1422119141
epoch time: 41.3627052307s, input_fired_time: 0.7108676434, output_fired_time: 0.0000000000, propagate_forward_time: 39.4604721069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1913642883
validation[          , genome  6334] predictions:    5807/  10000 (58.07%), best:    5807/10000 (58.07%), error:     12717.78320, best error:     12717.78320 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 699.3552856445s, input_fired_time: 6.9582066536, output_fired_time: 4.7095923424, propagate_forward_time: 197.8050842285, propagate_backward_time: 482.6935119629, weight_update_time: 0.7264362574, other_time: 7.1889038086
epoch time: 41.4752693176s, input_fired_time: 0.7186962962, output_fired_time: 0.0000000000, propagate_forward_time: 39.5560417175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2005310059
validation[          , genome  6334] predictions:    5712/  10000 (57.12%), best:    5807/10000 (58.07%), error:     13044.81641, best error:     12717.78320 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 701.9332885742s, input_fired_time: 7.0066275597, output_fired_time: 4.7388577461, propagate_forward_time: 198.3582916260, propagate_backward_time: 484.7053527832, weight_update_time: 0.7264944315, other_time: 7.1241760254
epoch time: 41.5334243774s, input_fired_time: 0.7199733853, output_fired_time: 0.0000000000, propagate_forward_time: 39.6131591797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2002906799
validation[          , genome  6334] predictions:    5755/  10000 (57.55%), best:    5807/10000 (58.07%), error:     12827.06641, best error:     12717.78320 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 702.0191040039s, input_fired_time: 7.0064911842, output_fired_time: 4.7387347221, propagate_forward_time: 198.5569610596, propagate_backward_time: 484.6036987305, weight_update_time: 0.7259728312, other_time: 7.1132812500
epoch time: 41.5262451172s, input_fired_time: 0.7242565751, output_fired_time: 0.0000000000, propagate_forward_time: 39.6146469116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1873397827
validation[          , genome  6334] predictions:    5766/  10000 (57.66%), best:    5807/10000 (58.07%), error:     12765.16016, best error:     12717.78320 on epoch:    32, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 702.4183349609s, input_fired_time: 7.0425710678, output_fired_time: 4.7341165543, propagate_forward_time: 198.5397033691, propagate_backward_time: 484.9352416992, weight_update_time: 0.7280502915, other_time: 7.1667175293
epoch time: 41.5659637451s, input_fired_time: 0.7183780074, output_fired_time: 0.0000000000, propagate_forward_time: 39.6642112732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1833763123
validation[          , genome  6334] predictions:    5530/  10000 (55.30%), best:    5807/10000 (58.07%), error:     13888.61328, best error:     12717.78320 on epoch:    32, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 701.9676513672s, input_fired_time: 7.0264973640, output_fired_time: 4.7445816994, propagate_forward_time: 198.4774780273, propagate_backward_time: 484.5985717773, weight_update_time: 0.7257435322, other_time: 7.1205444336
epoch time: 41.5236625671s, input_fired_time: 0.7311562896, output_fired_time: 0.0000000000, propagate_forward_time: 39.6003532410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1921539307
validation[          , genome  6334] predictions:    5871/  10000 (58.71%), best:    5807/10000 (58.07%), error:     12800.29590, best error:     12717.78320 on epoch:    32, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 701.7013549805s, input_fired_time: 7.0345711708, output_fired_time: 4.7333478928, propagate_forward_time: 198.4325866699, propagate_backward_time: 484.3685913086, weight_update_time: 0.7252154946, other_time: 7.1322937012
epoch time: 41.5711555481s, input_fired_time: 0.7336387038, output_fired_time: 0.0000000000, propagate_forward_time: 39.6417274475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1957893372
validation[          , genome  6334] predictions:    5715/  10000 (57.15%), best:    5807/10000 (58.07%), error:     12822.40039, best error:     12717.78320 on epoch:    32, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 701.8046264648s, input_fired_time: 7.0209369659, output_fired_time: 4.7284760475, propagate_forward_time: 198.3123474121, propagate_backward_time: 484.5866088867, weight_update_time: 0.7268047333, other_time: 7.1562805176
epoch time: 41.5349388123s, input_fired_time: 0.7344336510, output_fired_time: 0.0000000000, propagate_forward_time: 39.6137046814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1868019104
validation[          , genome  6334] predictions:    5780/  10000 (57.80%), best:    5780/10000 (57.80%), error:     12705.30664, best error:     12705.30664 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 701.8428955078s, input_fired_time: 7.0388035774, output_fired_time: 4.7327218056, propagate_forward_time: 198.3983306885, propagate_backward_time: 484.5449523926, weight_update_time: 0.7247358561, other_time: 7.1280822754
epoch time: 41.6171722412s, input_fired_time: 0.7403410077, output_fired_time: 0.0000000000, propagate_forward_time: 39.6840400696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1927909851
validation[          , genome  6334] predictions:    5877/  10000 (58.77%), best:    5877/10000 (58.77%), error:     12598.66309, best error:     12598.66309 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 701.8110351563s, input_fired_time: 7.0420813560, output_fired_time: 4.7275757790, propagate_forward_time: 198.3795013428, propagate_backward_time: 484.5156860352, weight_update_time: 0.7252188921, other_time: 7.1461791992
epoch time: 41.5943679810s, input_fired_time: 0.7359946370, output_fired_time: 0.0000000000, propagate_forward_time: 39.6714019775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1869697571
validation[          , genome  6334] predictions:    5903/  10000 (59.03%), best:    5877/10000 (58.77%), error:     12600.53516, best error:     12598.66309 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 700.7001342773s, input_fired_time: 7.0469226837, output_fired_time: 4.7247672081, propagate_forward_time: 198.0845947266, propagate_backward_time: 483.6886596680, weight_update_time: 0.7270485759, other_time: 7.1551513672
epoch time: 41.3417091370s, input_fired_time: 0.7358324528, output_fired_time: 0.0000000000, propagate_forward_time: 39.4145584106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1913185120
validation[          , genome  6334] predictions:    5960/  10000 (59.60%), best:    5960/10000 (59.60%), error:     12243.39258, best error:     12243.39258 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 699.0605468750s, input_fired_time: 7.0316176414, output_fired_time: 4.7234435081, propagate_forward_time: 197.5552368164, propagate_backward_time: 482.6167297363, weight_update_time: 0.7230111361, other_time: 7.1335144043
epoch time: 41.3403053284s, input_fired_time: 0.7346209884, output_fired_time: 0.0000000000, propagate_forward_time: 39.4107513428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1949348450
validation[          , genome  6334] predictions:    5891/  10000 (58.91%), best:    5960/10000 (59.60%), error:     12396.50195, best error:     12243.39258 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 700.8576049805s, input_fired_time: 7.0408926010, output_fired_time: 4.7448315620, propagate_forward_time: 198.2251586914, propagate_backward_time: 483.7479248047, weight_update_time: 0.7225322723, other_time: 7.0988159180
epoch time: 41.5084304810s, input_fired_time: 0.7437363863, output_fired_time: 0.0000000000, propagate_forward_time: 39.5693588257, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1953353882
validation[          , genome  6334] predictions:    5890/  10000 (58.90%), best:    5960/10000 (59.60%), error:     12658.85156, best error:     12243.39258 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 699.5115966797s, input_fired_time: 7.0474057198, output_fired_time: 4.7158699036, propagate_forward_time: 197.7497711182, propagate_backward_time: 482.8980407715, weight_update_time: 0.7228966355, other_time: 7.1004943848
epoch time: 41.4911422729s, input_fired_time: 0.7361897230, output_fired_time: 0.0000000000, propagate_forward_time: 39.5592002869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1957511902
validation[          , genome  6334] predictions:    5853/  10000 (58.53%), best:    5960/10000 (59.60%), error:     12790.15820, best error:     12243.39258 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 699.0020751953s, input_fired_time: 7.0486831665, output_fired_time: 4.7122459412, propagate_forward_time: 197.6383666992, propagate_backward_time: 482.5275268555, weight_update_time: 0.7280600071, other_time: 7.0752563477
epoch time: 41.4361419678s, input_fired_time: 0.7376702428, output_fired_time: 0.0000000000, propagate_forward_time: 39.5096473694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1888237000
validation[          , genome  6334] predictions:    5876/  10000 (58.76%), best:    5960/10000 (59.60%), error:     12396.42969, best error:     12243.39258 on epoch:    42, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 699.6846923828s, input_fired_time: 7.0526776314, output_fired_time: 4.7157683372, propagate_forward_time: 197.7395935059, propagate_backward_time: 483.0158386230, weight_update_time: 0.7240697145, other_time: 7.1608276367
epoch time: 41.3478584290s, input_fired_time: 0.7389324903, output_fired_time: 0.0000000000, propagate_forward_time: 39.4103240967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1986007690
validation[          , genome  6334] predictions:    5988/  10000 (59.88%), best:    5988/10000 (59.88%), error:     12146.18359, best error:     12146.18359 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 698.9982910156s, input_fired_time: 7.0534310341, output_fired_time: 4.7093434334, propagate_forward_time: 197.6298065186, propagate_backward_time: 482.4787597656, weight_update_time: 0.7222225666, other_time: 7.1269531250
epoch time: 41.4059295654s, input_fired_time: 0.7436491847, output_fired_time: 0.0000000000, propagate_forward_time: 39.4698677063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1924133301
validation[          , genome  6334] predictions:    5990/  10000 (59.90%), best:    5988/10000 (59.88%), error:     12256.14551, best error:     12146.18359 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 699.0643310547s, input_fired_time: 7.0671033859, output_fired_time: 4.7049732208, propagate_forward_time: 197.6741027832, propagate_backward_time: 482.4749755859, weight_update_time: 0.7238208652, other_time: 7.1432189941
epoch time: 41.4517631531s, input_fired_time: 0.7486140728, output_fired_time: 0.0000000000, propagate_forward_time: 39.5081329346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1950149536
validation[          , genome  6334] predictions:    5945/  10000 (59.45%), best:    5988/10000 (59.88%), error:     12411.99707, best error:     12146.18359 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 699.2706298828s, input_fired_time: 7.0670723915, output_fired_time: 4.7140460014, propagate_forward_time: 197.5799102783, propagate_backward_time: 482.7598571777, weight_update_time: 0.7253097296, other_time: 7.1497497559
epoch time: 41.4348526001s, input_fired_time: 0.7455594540, output_fired_time: 0.0000000000, propagate_forward_time: 39.4954299927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1938629150
validation[          , genome  6334] predictions:    5910/  10000 (59.10%), best:    5988/10000 (59.88%), error:     12489.87695, best error:     12146.18359 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 206.7608337402s, input_fired_time: 3.7049932480, output_fired_time: 0.0000000000, propagate_forward_time: 197.2870330811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7688140869
best training[          , genome  6334] predictions:   35485/  50000 (70.97%), best:    5988/10000 (59.88%), error:     41775.53125, best error:     12146.18359 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 41.4235458374s, input_fired_time: 0.7414849997, output_fired_time: 0.0000000000, propagate_forward_time: 39.4907951355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1912651062
   testing[          , genome  6334] predictions:    5988/  10000 (59.88%), best:    5988/10000 (59.88%), error:     12146.18359, best error:     12146.18359 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
06:11:25 (9180): called boinc_finish(0)

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