Nameexact_genome_1542649503_177_6339_1
Workunit4099378
Created20 Nov 2018, 2:09:40 UTC
Sent20 Nov 2018, 2:11:17 UTC
Report deadline10 Jan 2019, 18:07:24 UTC
Received21 Nov 2018, 21:09:59 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time13 hours 18 min 59 sec
CPU time13 hours 11 min 16 sec
Validate stateValid
Credit12,915.99
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size530.74 MB
Peak swap size550.79 MB
Peak disk usage11.87 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_177_6339.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_177_6339_1_r85243676_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_177_6339.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: 6339
read normal distribution: '0 -1.11562812328339 -1.38192236423492'
generator_str: '1378481672'
read generator: 1378481672
read generated_by_map:
1 split_edge 1
reading 97 nodes.
reading 388 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: 1087877468
post shuffle 1: 707240037
epoch time: 876.259643554688s, input_fired_time: 8.29220008850098, output_fired_time: 5.66927480697632, propagate_forward_time: 248.6787109375, propagate_backward_time: 605.798278808594, weight_update_time: 0.811417996883392, other_time: 7.82122802734375
epoch time: 51.7575454711914s, input_fired_time: 0.843933284282684, output_fired_time: 0, propagate_forward_time: 49.6116943359375, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.30191802978516
validation[          , genome  6339] predictions:    5110/  10000 (51.10%), best:    5110/10000 (51.10%), error:     18052.97852, best error:     18052.97852 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 875.7493286133s, input_fired_time: 8.2079591751, output_fired_time: 5.6461300850, propagate_forward_time: 248.4476776123, propagate_backward_time: 605.4226684570, weight_update_time: 0.8089631200, other_time: 8.0249023438
epoch time: 51.8008995056s, input_fired_time: 0.8383846879, output_fired_time: 0.0000000000, propagate_forward_time: 49.6560554504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3064575195
validation[          , genome  6339] predictions:    4893/  10000 (48.93%), best:    5110/10000 (51.10%), error:     18504.74414, best error:     18052.97852 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 875.6008300781s, input_fired_time: 8.1596345901, output_fired_time: 5.6409053802, propagate_forward_time: 248.5287017822, propagate_backward_time: 605.2919311523, weight_update_time: 0.8093105555, other_time: 7.9796752930
epoch time: 51.7737464905s, input_fired_time: 0.8257078528, output_fired_time: 0.0000000000, propagate_forward_time: 49.6385574341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3094825745
validation[          , genome  6339] predictions:    5013/  10000 (50.13%), best:    5013/10000 (50.13%), error:     16835.38867, best error:     16835.38867 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 875.4273071289s, input_fired_time: 8.1152791977, output_fired_time: 5.6464223862, propagate_forward_time: 248.3025665283, propagate_backward_time: 605.3756103516, weight_update_time: 0.8116939068, other_time: 7.9874267578
epoch time: 51.7953186035s, input_fired_time: 0.8246569633, output_fired_time: 0.0000000000, propagate_forward_time: 49.6609802246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3096809387
validation[          , genome  6339] predictions:    5102/  10000 (51.02%), best:    5102/10000 (51.02%), error:     15568.56348, best error:     15568.56348 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 875.5996704102s, input_fired_time: 8.1121463776, output_fired_time: 5.6349549294, propagate_forward_time: 248.3933715820, propagate_backward_time: 605.4573974609, weight_update_time: 0.8085222244, other_time: 8.0018310547
epoch time: 51.6955184937s, input_fired_time: 0.8171558380, output_fired_time: 0.0000000000, propagate_forward_time: 49.5723533630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3060112000
validation[          , genome  6339] predictions:    5212/  10000 (52.12%), best:    5212/10000 (52.12%), error:     15435.20898, best error:     15435.20898 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 875.4747314453s, input_fired_time: 8.0894451141, output_fired_time: 5.6470899582, propagate_forward_time: 248.3968048096, propagate_backward_time: 605.3195190430, weight_update_time: 0.8104228377, other_time: 8.0219116211
epoch time: 51.6206932068s, input_fired_time: 0.8102493286, output_fired_time: 0.0000000000, propagate_forward_time: 49.5036659241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3067779541
validation[          , genome  6339] predictions:    5278/  10000 (52.78%), best:    5212/10000 (52.12%), error:     15461.10449, best error:     15435.20898 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 872.0990600586s, input_fired_time: 8.0346288681, output_fired_time: 5.6272096634, propagate_forward_time: 247.4296875000, propagate_backward_time: 603.0172729492, weight_update_time: 0.8068428040, other_time: 7.9902954102
epoch time: 51.5359611511s, input_fired_time: 0.8063707948, output_fired_time: 0.0000000000, propagate_forward_time: 49.4122695923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3173217773
validation[          , genome  6339] predictions:    5352/  10000 (53.52%), best:    5352/10000 (53.52%), error:     15019.50586, best error:     15019.50586 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 873.8222045898s, input_fired_time: 8.0349502563, output_fired_time: 5.6119170189, propagate_forward_time: 247.8381652832, propagate_backward_time: 604.4063110352, weight_update_time: 0.8128162622, other_time: 7.9308471680
epoch time: 51.5538787842s, input_fired_time: 0.8134493828, output_fired_time: 0.0000000000, propagate_forward_time: 49.4195899963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3208389282
validation[          , genome  6339] predictions:    5212/  10000 (52.12%), best:    5212/10000 (52.12%), error:     14805.57031, best error:     14805.57031 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 872.5023803711s, input_fired_time: 8.0414056778, output_fired_time: 5.6239361763, propagate_forward_time: 247.6899261475, propagate_backward_time: 603.2183837891, weight_update_time: 0.8071763515, other_time: 7.9287109375
epoch time: 51.5498161316s, input_fired_time: 0.8181424141, output_fired_time: 0.0000000000, propagate_forward_time: 49.4222488403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3094253540
validation[          , genome  6339] predictions:    5241/  10000 (52.41%), best:    5241/10000 (52.41%), error:     14615.90430, best error:     14615.90430 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 872.2465209961s, input_fired_time: 8.0352478027, output_fired_time: 5.6100082397, propagate_forward_time: 247.5379180908, propagate_backward_time: 603.0885009766, weight_update_time: 0.8066565990, other_time: 7.9749145508
epoch time: 51.6287536621s, input_fired_time: 0.8085376620, output_fired_time: 0.0000000000, propagate_forward_time: 49.5057067871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3145103455
validation[          , genome  6339] predictions:    5211/  10000 (52.11%), best:    5241/10000 (52.41%), error:     14643.80273, best error:     14615.90430 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 872.0493774414s, input_fired_time: 8.0420112610, output_fired_time: 5.6172466278, propagate_forward_time: 247.3290100098, propagate_backward_time: 603.0935668945, weight_update_time: 0.8045929074, other_time: 7.9675903320
epoch time: 51.5588912964s, input_fired_time: 0.8096172810, output_fired_time: 0.0000000000, propagate_forward_time: 49.4375839233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3116912842
validation[          , genome  6339] predictions:    5149/  10000 (51.49%), best:    5241/10000 (52.41%), error:     14997.98828, best error:     14615.90430 on epoch:     8, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 871.9606933594s, input_fired_time: 8.0349636078, output_fired_time: 5.6165904999, propagate_forward_time: 247.3641204834, propagate_backward_time: 603.0028686523, weight_update_time: 0.8066761494, other_time: 7.9421386719
epoch time: 51.5135002136s, input_fired_time: 0.8080235124, output_fired_time: 0.0000000000, propagate_forward_time: 49.3923950195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3130798340
validation[          , genome  6339] predictions:    5254/  10000 (52.54%), best:    5241/10000 (52.41%), error:     15450.46191, best error:     14615.90430 on epoch:     8, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 871.9822998047s, input_fired_time: 8.0430021286, output_fired_time: 5.6308193207, propagate_forward_time: 247.3038787842, propagate_backward_time: 603.0753173828, weight_update_time: 0.8063998222, other_time: 7.9292602539
epoch time: 51.5210113525s, input_fired_time: 0.8152092695, output_fired_time: 0.0000000000, propagate_forward_time: 49.3940544128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3117485046
validation[          , genome  6339] predictions:    5314/  10000 (53.14%), best:    5241/10000 (52.41%), error:     14963.76367, best error:     14615.90430 on epoch:     8, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 872.3720092773s, input_fired_time: 8.0547666550, output_fired_time: 5.6171298027, propagate_forward_time: 247.4760742188, propagate_backward_time: 603.2786865234, weight_update_time: 0.8048958182, other_time: 7.9453735352
epoch time: 51.6189842224s, input_fired_time: 0.8115571737, output_fired_time: 0.0000000000, propagate_forward_time: 49.4988899231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3085365295
validation[          , genome  6339] predictions:    5459/  10000 (54.59%), best:    5459/10000 (54.59%), error:     14200.74707, best error:     14200.74707 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 872.6273803711s, input_fired_time: 8.0721502304, output_fired_time: 5.6144013405, propagate_forward_time: 247.5339965820, propagate_backward_time: 603.3916015625, weight_update_time: 0.8096219897, other_time: 8.0152587891
epoch time: 51.5944252014s, input_fired_time: 0.8241739869, output_fired_time: 0.0000000000, propagate_forward_time: 49.4607734680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3094787598
validation[          , genome  6339] predictions:    5464/  10000 (54.64%), best:    5464/10000 (54.64%), error:     14134.96191, best error:     14134.96191 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 872.1486206055s, input_fired_time: 8.0682420731, output_fired_time: 5.6237287521, propagate_forward_time: 247.4460449219, propagate_backward_time: 603.0463256836, weight_update_time: 0.8078691959, other_time: 7.9642944336
epoch time: 51.6100158691s, input_fired_time: 0.8206350207, output_fired_time: 0.0000000000, propagate_forward_time: 49.4752883911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3140907288
validation[          , genome  6339] predictions:    5315/  10000 (53.15%), best:    5464/10000 (54.64%), error:     15170.42090, best error:     14134.96191 on epoch:    14, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 872.7495117188s, input_fired_time: 8.0696048737, output_fired_time: 5.6259098053, propagate_forward_time: 247.5054626465, propagate_backward_time: 603.5654296875, weight_update_time: 0.8067472577, other_time: 7.9831542969
epoch time: 51.5338897705s, input_fired_time: 0.8146964908, output_fired_time: 0.0000000000, propagate_forward_time: 49.4084892273, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3107032776
validation[          , genome  6339] predictions:    5594/  10000 (55.94%), best:    5594/10000 (55.94%), error:     13740.56543, best error:     13740.56543 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 878.0062866211s, input_fired_time: 8.1290788651, output_fired_time: 5.6790719032, propagate_forward_time: 248.8871307373, propagate_backward_time: 607.3536987305, weight_update_time: 0.8161544800, other_time: 7.9572753906
epoch time: 57.3187370300s, input_fired_time: 0.9310255647, output_fired_time: 0.0000000000, propagate_forward_time: 54.8584442139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5292663574
validation[          , genome  6339] predictions:    5452/  10000 (54.52%), best:    5594/10000 (55.94%), error:     14329.37305, best error:     13740.56543 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 885.7036132813s, input_fired_time: 8.2388563156, output_fired_time: 5.7746167183, propagate_forward_time: 251.4229125977, propagate_backward_time: 612.6163940430, weight_update_time: 0.8294281960, other_time: 7.6508789063
epoch time: 52.6145591736s, input_fired_time: 0.8511079550, output_fired_time: 0.0000000000, propagate_forward_time: 50.3996887207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3637619019
validation[          , genome  6339] predictions:    5768/  10000 (57.68%), best:    5768/10000 (57.68%), error:     13110.89551, best error:     13110.89551 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 886.2528686523s, input_fired_time: 8.2422304153, output_fired_time: 5.7787733078, propagate_forward_time: 251.2157287598, propagate_backward_time: 613.3599853516, weight_update_time: 0.8432160020, other_time: 7.6561279297
epoch time: 52.0067367554s, input_fired_time: 0.8399372697, output_fired_time: 0.0000000000, propagate_forward_time: 49.8414459229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3253517151
validation[          , genome  6339] predictions:    5776/  10000 (57.76%), best:    5768/10000 (57.68%), error:     13305.97949, best error:     13110.89551 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 880.1163330078s, input_fired_time: 8.2043809891, output_fired_time: 5.6981973648, propagate_forward_time: 249.4191131592, propagate_backward_time: 609.0812988281, weight_update_time: 0.8154281378, other_time: 7.7133178711
epoch time: 52.7027397156s, input_fired_time: 0.8539806008, output_fired_time: 0.0000000000, propagate_forward_time: 50.4955215454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3532371521
validation[          , genome  6339] predictions:    5752/  10000 (57.52%), best:    5768/10000 (57.68%), error:     13185.35742, best error:     13110.89551 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 879.7279052734s, input_fired_time: 8.2170619965, output_fired_time: 5.7007269859, propagate_forward_time: 249.7995452881, propagate_backward_time: 608.4515991211, weight_update_time: 0.8189179301, other_time: 7.5589599609
epoch time: 52.1675643921s, input_fired_time: 0.8469292521, output_fired_time: 0.0000000000, propagate_forward_time: 50.0059089661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3147277832
validation[          , genome  6339] predictions:    5581/  10000 (55.81%), best:    5768/10000 (57.68%), error:     14102.22070, best error:     13110.89551 on epoch:    18, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 879.8788452148s, input_fired_time: 8.2130994797, output_fired_time: 5.7188510895, propagate_forward_time: 249.9662933350, propagate_backward_time: 608.4900512695, weight_update_time: 0.8159762621, other_time: 7.4905395508
epoch time: 52.3289680481s, input_fired_time: 0.8446644545, output_fired_time: 0.0000000000, propagate_forward_time: 50.1508712769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3334312439
validation[          , genome  6339] predictions:    5707/  10000 (57.07%), best:    5768/10000 (57.68%), error:     13518.03320, best error:     13110.89551 on epoch:    18, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 878.9948120117s, input_fired_time: 8.2061862946, output_fired_time: 5.6853299141, propagate_forward_time: 249.8305816650, propagate_backward_time: 607.7888793945, weight_update_time: 0.8153035045, other_time: 7.4838867188
epoch time: 52.4965362549s, input_fired_time: 0.8640080094, output_fired_time: 0.0000000000, propagate_forward_time: 50.2894477844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3430786133
validation[          , genome  6339] predictions:    5933/  10000 (59.33%), best:    5933/10000 (59.33%), error:     12374.30664, best error:     12374.30664 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 883.2008666992s, input_fired_time: 8.2827558517, output_fired_time: 5.7226710320, propagate_forward_time: 250.6054992676, propagate_backward_time: 610.9832153320, weight_update_time: 0.8181792498, other_time: 7.6067504883
epoch time: 51.9994392395s, input_fired_time: 0.8462531567, output_fired_time: 0.0000000000, propagate_forward_time: 49.7881164551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3650703430
validation[          , genome  6339] predictions:    5723/  10000 (57.23%), best:    5933/10000 (59.33%), error:     13141.67285, best error:     12374.30664 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 881.2139282227s, input_fired_time: 8.2595539093, output_fired_time: 5.7209172249, propagate_forward_time: 249.9538574219, propagate_backward_time: 609.6442871094, weight_update_time: 0.8184569478, other_time: 7.6352539063
epoch time: 51.8493347168s, input_fired_time: 0.8461176753, output_fired_time: 0.0000000000, propagate_forward_time: 49.6919746399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3112411499
validation[          , genome  6339] predictions:    5799/  10000 (57.99%), best:    5933/10000 (59.33%), error:     12919.90430, best error:     12374.30664 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 880.6546630859s, input_fired_time: 8.2569360733, output_fired_time: 5.6937775612, propagate_forward_time: 249.8410339355, propagate_backward_time: 609.0969238281, weight_update_time: 0.8163716793, other_time: 7.7659912109
epoch time: 52.0246734619s, input_fired_time: 0.8431073427, output_fired_time: 0.0000000000, propagate_forward_time: 49.8489799500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3325843811
validation[          , genome  6339] predictions:    5613/  10000 (56.13%), best:    5933/10000 (59.33%), error:     14000.34570, best error:     12374.30664 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 881.3275756836s, input_fired_time: 8.2690792084, output_fired_time: 5.6957383156, propagate_forward_time: 249.8373107910, propagate_backward_time: 609.4698486328, weight_update_time: 0.8180125356, other_time: 8.0555419922
epoch time: 52.9916114807s, input_fired_time: 0.8817027807, output_fired_time: 0.0000000000, propagate_forward_time: 50.7393646240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3705444336
validation[          , genome  6339] predictions:    5675/  10000 (56.75%), best:    5933/10000 (59.33%), error:     13892.55078, best error:     12374.30664 on epoch:    23, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 883.8691406250s, input_fired_time: 8.3494129181, output_fired_time: 5.7518877983, propagate_forward_time: 251.1669006348, propagate_backward_time: 610.6494140625, weight_update_time: 0.8222011328, other_time: 7.9515380859
epoch time: 52.9843330383s, input_fired_time: 0.8748314977, output_fired_time: 0.0000000000, propagate_forward_time: 50.7401657104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3693351746
validation[          , genome  6339] predictions:    5733/  10000 (57.33%), best:    5933/10000 (59.33%), error:     13434.71680, best error:     12374.30664 on epoch:    23, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 881.7081298828s, input_fired_time: 8.2984886169, output_fired_time: 5.7117099762, propagate_forward_time: 249.8135223389, propagate_backward_time: 609.8550415039, weight_update_time: 0.8236349821, other_time: 8.0293579102
epoch time: 53.1754989624s, input_fired_time: 0.8606431484, output_fired_time: 0.0000000000, propagate_forward_time: 50.9788208008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3360366821
validation[          , genome  6339] predictions:    5756/  10000 (57.56%), best:    5933/10000 (59.33%), error:     13538.90527, best error:     12374.30664 on epoch:    23, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 880.6118774414s, input_fired_time: 8.3655881882, output_fired_time: 5.7226758003, propagate_forward_time: 250.0491180420, propagate_backward_time: 608.5865478516, weight_update_time: 0.8238089085, other_time: 7.8879394531
epoch time: 52.3910140991s, input_fired_time: 0.8624897003, output_fired_time: 0.0000000000, propagate_forward_time: 50.1829299927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3455963135
validation[          , genome  6339] predictions:    5779/  10000 (57.79%), best:    5933/10000 (59.33%), error:     13059.01465, best error:     12374.30664 on epoch:    23, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 882.7791748047s, input_fired_time: 8.3188648224, output_fired_time: 5.7240567207, propagate_forward_time: 250.3136138916, propagate_backward_time: 610.6958618164, weight_update_time: 0.8190188408, other_time: 7.7268066406
epoch time: 52.2084312439s, input_fired_time: 0.8622742891, output_fired_time: 0.0000000000, propagate_forward_time: 50.0190505981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3271064758
validation[          , genome  6339] predictions:    5684/  10000 (56.84%), best:    5933/10000 (59.33%), error:     13532.08691, best error:     12374.30664 on epoch:    23, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 880.5458984375s, input_fired_time: 8.3279447556, output_fired_time: 5.6973409653, propagate_forward_time: 249.9483642578, propagate_backward_time: 609.0950927734, weight_update_time: 0.8177144527, other_time: 7.4771728516
epoch time: 52.0392379761s, input_fired_time: 0.8626073003, output_fired_time: 0.0000000000, propagate_forward_time: 49.8519058228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3247261047
validation[          , genome  6339] predictions:    6034/  10000 (60.34%), best:    6034/10000 (60.34%), error:     12237.91016, best error:     12237.91016 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 880.1548461914s, input_fired_time: 8.3058776855, output_fired_time: 5.7986230850, propagate_forward_time: 249.6566619873, propagate_backward_time: 608.7258300781, weight_update_time: 0.8850629330, other_time: 7.6678466797
epoch time: 52.1949501038s, input_fired_time: 0.8651950955, output_fired_time: 0.0000000000, propagate_forward_time: 50.0014076233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3283462524
validation[          , genome  6339] predictions:    5783/  10000 (57.83%), best:    6034/10000 (60.34%), error:     12972.36426, best error:     12237.91016 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 879.0177612305s, input_fired_time: 8.3307323456, output_fired_time: 5.6960706711, propagate_forward_time: 249.3741760254, propagate_backward_time: 608.1480712891, weight_update_time: 0.8163556457, other_time: 7.4687500000
epoch time: 52.1143875122s, input_fired_time: 0.8694444299, output_fired_time: 0.0000000000, propagate_forward_time: 49.9170913696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3278503418
validation[          , genome  6339] predictions:    5942/  10000 (59.42%), best:    6034/10000 (60.34%), error:     12518.67383, best error:     12237.91016 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 880.5581665039s, input_fired_time: 8.3273811340, output_fired_time: 5.7158217430, propagate_forward_time: 249.7706756592, propagate_backward_time: 608.9570922852, weight_update_time: 0.9339935780, other_time: 7.7871704102
epoch time: 52.0415725708s, input_fired_time: 0.8700977564, output_fired_time: 0.0000000000, propagate_forward_time: 49.8419151306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3295593262
validation[          , genome  6339] predictions:    5925/  10000 (59.25%), best:    6034/10000 (60.34%), error:     12864.89063, best error:     12237.91016 on epoch:    32, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 889.3849487305s, input_fired_time: 8.4515838623, output_fired_time: 5.7923703194, propagate_forward_time: 252.0547332764, propagate_backward_time: 615.1431884766, weight_update_time: 0.8240244985, other_time: 7.9430541992
epoch time: 52.3049964905s, input_fired_time: 0.8738849759, output_fired_time: 0.0000000000, propagate_forward_time: 50.0944023132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3367080688
validation[          , genome  6339] predictions:    5999/  10000 (59.99%), best:    6034/10000 (60.34%), error:     12385.11426, best error:     12237.91016 on epoch:    32, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 890.5720214844s, input_fired_time: 8.5008630753, output_fired_time: 5.7958059311, propagate_forward_time: 253.1418304443, propagate_backward_time: 615.3933715820, weight_update_time: 0.8281509876, other_time: 7.7401733398
epoch time: 51.9090461731s, input_fired_time: 0.8658295870, output_fired_time: 0.0000000000, propagate_forward_time: 49.7134819031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3297348022
validation[          , genome  6339] predictions:    5951/  10000 (59.51%), best:    6034/10000 (60.34%), error:     12572.40625, best error:     12237.91016 on epoch:    32, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 880.7527465820s, input_fired_time: 8.3720932007, output_fired_time: 5.7145352364, propagate_forward_time: 249.9101562500, propagate_backward_time: 609.1300659180, weight_update_time: 0.8160108924, other_time: 7.6259155273
epoch time: 52.3929824829s, input_fired_time: 0.8737210035, output_fired_time: 0.0000000000, propagate_forward_time: 50.1875038147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3317565918
validation[          , genome  6339] predictions:    6012/  10000 (60.12%), best:    6034/10000 (60.34%), error:     12416.63770, best error:     12237.91016 on epoch:    32, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 881.7149047852s, input_fired_time: 8.3828535080, output_fired_time: 5.7206749916, propagate_forward_time: 250.2423400879, propagate_backward_time: 609.7634277344, weight_update_time: 0.8219141364, other_time: 7.6055908203
epoch time: 52.6503982544s, input_fired_time: 0.8847240806, output_fired_time: 0.0000000000, propagate_forward_time: 50.4161453247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3495292664
validation[          , genome  6339] predictions:    6106/  10000 (61.06%), best:    6106/10000 (61.06%), error:     12142.57324, best error:     12142.57324 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 884.5636596680s, input_fired_time: 8.4264106750, output_fired_time: 5.7448501587, propagate_forward_time: 250.8715362549, propagate_backward_time: 611.9045410156, weight_update_time: 0.8206677437, other_time: 7.6163330078
epoch time: 52.0872612000s, input_fired_time: 0.8718360662, output_fired_time: 0.0000000000, propagate_forward_time: 49.8890037537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3264198303
validation[          , genome  6339] predictions:    5962/  10000 (59.62%), best:    6106/10000 (61.06%), error:     12534.80957, best error:     12142.57324 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 889.1444702148s, input_fired_time: 8.4776496887, output_fired_time: 5.7776732445, propagate_forward_time: 252.4130706787, propagate_backward_time: 614.4969482422, weight_update_time: 0.8249527216, other_time: 7.9791259766
epoch time: 52.4310951233s, input_fired_time: 0.8835604787, output_fired_time: 0.0000000000, propagate_forward_time: 50.2056312561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3419036865
validation[          , genome  6339] predictions:    6009/  10000 (60.09%), best:    6106/10000 (61.06%), error:     12399.31934, best error:     12142.57324 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 885.8275756836s, input_fired_time: 8.4603309631, output_fired_time: 5.7563343048, propagate_forward_time: 251.4857177734, propagate_backward_time: 612.4995117188, weight_update_time: 0.8208172917, other_time: 7.6256713867
epoch time: 52.9719123840s, input_fired_time: 0.8888714314, output_fired_time: 0.0000000000, propagate_forward_time: 50.7248992920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3581428528
validation[          , genome  6339] predictions:    5850/  10000 (58.50%), best:    6106/10000 (61.06%), error:     13019.33398, best error:     12142.57324 on epoch:    39, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 886.4478759766s, input_fired_time: 8.4583225250, output_fired_time: 5.7489509583, propagate_forward_time: 251.4098358154, propagate_backward_time: 613.2111206055, weight_update_time: 0.8229149580, other_time: 7.6196289063
epoch time: 52.4998397827s, input_fired_time: 0.8822078109, output_fired_time: 0.0000000000, propagate_forward_time: 50.2623748779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3552589417
validation[          , genome  6339] predictions:    5927/  10000 (59.27%), best:    6106/10000 (61.06%), error:     12834.10352, best error:     12142.57324 on epoch:    39, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 887.7353515625s, input_fired_time: 8.4640207291, output_fired_time: 5.7594032288, propagate_forward_time: 251.5389709473, propagate_backward_time: 614.3389892578, weight_update_time: 0.8322914243, other_time: 7.6339111328
epoch time: 52.1448402405s, input_fired_time: 0.8859998584, output_fired_time: 0.0000000000, propagate_forward_time: 49.9226760864, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3361625671
validation[          , genome  6339] predictions:    6098/  10000 (60.98%), best:    6106/10000 (61.06%), error:     12276.41211, best error:     12142.57324 on epoch:    39, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 883.2946166992s, input_fired_time: 8.4508447647, output_fired_time: 5.8559165001, propagate_forward_time: 250.4194488525, propagate_backward_time: 611.0471801758, weight_update_time: 0.8273515105, other_time: 7.5212402344
epoch time: 52.0907020569s, input_fired_time: 0.8855321407, output_fired_time: 0.0000000000, propagate_forward_time: 49.8723983765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3327713013
validation[          , genome  6339] predictions:    6085/  10000 (60.85%), best:    6085/10000 (60.85%), error:     12106.47559, best error:     12106.47559 on epoch:    45, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 889.6453247070s, input_fired_time: 8.5405397415, output_fired_time: 5.7630877495, propagate_forward_time: 252.2115478516, propagate_backward_time: 615.3859863281, weight_update_time: 0.8301420212, other_time: 7.7442016602
epoch time: 52.0293350220s, input_fired_time: 0.8803746700, output_fired_time: 0.0000000000, propagate_forward_time: 49.8281745911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3207855225
validation[          , genome  6339] predictions:    6010/  10000 (60.10%), best:    6085/10000 (60.85%), error:     12244.72949, best error:     12106.47559 on epoch:    45, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 884.6856079102s, input_fired_time: 8.4643049240, output_fired_time: 5.7171583176, propagate_forward_time: 250.6636047363, propagate_backward_time: 612.2587890625, weight_update_time: 0.8422880173, other_time: 7.5817871094
epoch time: 52.3350601196s, input_fired_time: 0.9004028440, output_fired_time: 0.0000000000, propagate_forward_time: 50.0999336243, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3347244263
validation[          , genome  6339] predictions:    5931/  10000 (59.31%), best:    6085/10000 (60.85%), error:     12941.32813, best error:     12106.47559 on epoch:    45, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 884.1243286133s, input_fired_time: 8.4708166122, output_fired_time: 5.7188735008, propagate_forward_time: 250.6222991943, propagate_backward_time: 611.2673950195, weight_update_time: 0.8210521340, other_time: 8.0449218750
epoch time: 52.2749061584s, input_fired_time: 0.8915174603, output_fired_time: 0.0000000000, propagate_forward_time: 50.0408477783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3425407410
validation[          , genome  6339] predictions:    6107/  10000 (61.07%), best:    6107/10000 (61.07%), error:     12057.03418, best error:     12057.03418 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 885.0600585938s, input_fired_time: 8.4943094254, output_fired_time: 5.7307157516, propagate_forward_time: 250.9201965332, propagate_backward_time: 612.2679443359, weight_update_time: 0.8200063705, other_time: 7.6468505859
epoch time: 52.2672500610s, input_fired_time: 0.8903035522, output_fired_time: 0.0000000000, propagate_forward_time: 50.0415191650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3354263306
validation[          , genome  6339] predictions:    5955/  10000 (59.55%), best:    6107/10000 (61.07%), error:     12733.05762, best error:     12057.03418 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 881.6182861328s, input_fired_time: 8.5070533752, output_fired_time: 5.7143998146, propagate_forward_time: 250.1605529785, propagate_backward_time: 609.7039794922, weight_update_time: 0.8186569810, other_time: 7.5322265625
epoch time: 53.0134429932s, input_fired_time: 0.9179676175, output_fired_time: 0.0000000000, propagate_forward_time: 50.7362289429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3592453003
validation[          , genome  6339] predictions:    6049/  10000 (60.49%), best:    6107/10000 (61.07%), error:     12347.78418, best error:     12057.03418 on epoch:    48, 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: 260.7375488281s, input_fired_time: 4.4723367691, output_fired_time: 0.0000000000, propagate_forward_time: 249.9109039307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.3542938232
best training[          , genome  6339] predictions:   37901/  50000 (75.80%), best:    6107/10000 (61.07%), error:     35109.28516, best error:     12057.03418 on epoch:    48, 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: 53.6506690979s, input_fired_time: 0.8978075385, output_fired_time: 0.0000000000, propagate_forward_time: 50.0715255737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6813354492
   testing[          , genome  6339] predictions:    6107/  10000 (61.07%), best:    6107/10000 (61.07%), error:     12057.03418, best error:     12057.03418 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
16:09:27 (1204): called boinc_finish(0)

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