Nameexact_genome_1542414603_173_6157_1
Workunit4094977
Created17 Nov 2018, 8:19:38 UTC
Sent17 Nov 2018, 8:54:49 UTC
Report deadline28 Dec 2018, 2:27:45 UTC
Received19 Nov 2018, 10:32:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time10 hours 32 min 2 sec
CPU time10 hours 29 min 47 sec
Validate stateValid
Credit10,182.80
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size601.67 MB
Peak swap size621.45 MB
Peak disk usage14.43 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_1542414603_173_6157.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_173_6157_1_r1066628263_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542414603_173_6157.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.550029
read mu: 0.550029
read mu_delta: 0.970279
read initial_learning_rate: 0.000380856
read learning_rate: 0.000380856
read learning_rate_delta: 0.91517
read initial_weight_decay: 0.000326137
read weight_decay: 0.000326137
read weight_decay_delta: 0.914363
read batch_size: 123
read epsilon: 1e-07
read alpha: 0.127456
read input_dropout_probability: 0.00167927
read hidden_dropout_probability: 0.0667358
read velocity_reset: 1808
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: 6157
read normal distribution: '1 0 0'
generator_str: '622677537'
read generator: 622677537
read generated_by_map:
1 enable_edge 1
reading 111 nodes.
reading 473 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: 653552528
post shuffle 1: 104566274
epoch time: 1355.65344238281s, input_fired_time: 18.6974945068359, output_fired_time: 6.44051694869995, propagate_forward_time: 388.653900146484, propagate_backward_time: 932.729370117188, weight_update_time: 0.207788527011871, other_time: 9.132080078125
epoch time: 80.8538436889648s, input_fired_time: 1.16999018192291, output_fired_time: 0, propagate_forward_time: 78.2804870605469, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.40336608886719
validation[          , genome  6157] predictions:    6407/  10000 (64.07%), best:    6407/10000 (64.07%), error:     10338.83789, best error:     10338.83789 on epoch:     0, epoch:    0/25, mu: 0.5500285029, learning_rate: 0.0003808563, weight_decay: 0.0003261372

epoch time: 1357.6951904297s, input_fired_time: 18.7299652100, output_fired_time: 6.4373641014, propagate_forward_time: 389.3227539063, propagate_backward_time: 933.9246826172, weight_update_time: 0.2078458816, other_time: 9.2803955078
epoch time: 81.5684051514s, input_fired_time: 1.1690495014, output_fired_time: 0.0000000000, propagate_forward_time: 78.3363494873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0630035400
validation[          , genome  6157] predictions:    6463/  10000 (64.63%), best:    6463/10000 (64.63%), error:     10303.84961, best error:     10303.84961 on epoch:     1, epoch:    1/25, mu: 0.5631046891, learning_rate: 0.0003485483, weight_decay: 0.0002982076

epoch time: 1356.7224121094s, input_fired_time: 18.6956119537, output_fired_time: 6.4275465012, propagate_forward_time: 389.1251831055, propagate_backward_time: 933.2103881836, weight_update_time: 0.2086455077, other_time: 9.2637939453
epoch time: 80.8529739380s, input_fired_time: 1.1687071323, output_fired_time: 0.0000000000, propagate_forward_time: 78.2785797119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4056854248
validation[          , genome  6157] predictions:    6446/  10000 (64.46%), best:    6463/10000 (64.63%), error:     10449.00293, best error:     10303.84961 on epoch:     1, epoch:    2/25, mu: 0.5757922530, learning_rate: 0.0003189811, weight_decay: 0.0002726699

epoch time: 1357.4239501953s, input_fired_time: 18.7161140442, output_fired_time: 6.4380588531, propagate_forward_time: 389.1704711914, propagate_backward_time: 933.6279296875, weight_update_time: 0.2070454210, other_time: 9.4713745117
epoch time: 80.8793334961s, input_fired_time: 1.1627162695, output_fired_time: 0.0000000000, propagate_forward_time: 78.3194961548, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3971176147
validation[          , genome  6157] predictions:    6138/  10000 (61.38%), best:    6463/10000 (64.63%), error:     11190.24512, best error:     10303.84961 on epoch:     1, epoch:    3/25, mu: 0.5881027579, learning_rate: 0.0002919220, weight_decay: 0.0002493192

epoch time: 1356.4233398438s, input_fired_time: 18.6676464081, output_fired_time: 6.4275264740, propagate_forward_time: 388.8344421387, propagate_backward_time: 933.0786132813, weight_update_time: 0.2090288252, other_time: 9.4151611328
epoch time: 80.7847747803s, input_fired_time: 1.1584464312, output_fired_time: 0.0000000000, propagate_forward_time: 78.2330169678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3933105469
validation[          , genome  6157] predictions:    6395/  10000 (63.95%), best:    6463/10000 (64.63%), error:     10653.05176, best error:     10303.84961 on epoch:     1, epoch:    4/25, mu: 0.6000473499, learning_rate: 0.0002671583, weight_decay: 0.0002279681

epoch time: 1356.8041992188s, input_fired_time: 18.7249870300, output_fired_time: 6.4410986900, propagate_forward_time: 389.1401367188, propagate_backward_time: 933.1682128906, weight_update_time: 0.2080114931, other_time: 9.3298339844
epoch time: 80.9737167358s, input_fired_time: 1.1596860886, output_fired_time: 0.0000000000, propagate_forward_time: 78.4029617310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4110717773
validation[          , genome  6157] predictions:    6248/  10000 (62.48%), best:    6463/10000 (64.63%), error:     10926.34375, best error:     10303.84961 on epoch:     1, epoch:    5/25, mu: 0.6116369367, learning_rate: 0.0002444953, weight_decay: 0.0002084455

epoch time: 1356.5426025391s, input_fired_time: 18.6559600830, output_fired_time: 6.4224748611, propagate_forward_time: 388.8903198242, propagate_backward_time: 933.3727416992, weight_update_time: 0.2078214139, other_time: 9.2010498047
epoch time: 80.9134368896s, input_fired_time: 1.1587829590, output_fired_time: 0.0000000000, propagate_forward_time: 78.3529129028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4017410278
validation[          , genome  6157] predictions:    6211/  10000 (62.11%), best:    6463/10000 (64.63%), error:     10889.29688, best error:     10303.84961 on epoch:     1, epoch:    6/25, mu: 0.6228820682, learning_rate: 0.0002237549, weight_decay: 0.0001905948

epoch time: 1355.8413085938s, input_fired_time: 18.6355133057, output_fired_time: 6.4546289444, propagate_forward_time: 388.7796325684, propagate_backward_time: 932.9005737305, weight_update_time: 0.2076337188, other_time: 9.0709838867
epoch time: 80.8748626709s, input_fired_time: 1.1566473246, output_fired_time: 0.0000000000, propagate_forward_time: 78.3248901367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3933258057
validation[          , genome  6157] predictions:    6291/  10000 (62.91%), best:    6463/10000 (64.63%), error:     10873.58008, best error:     10303.84961 on epoch:     1, epoch:    7/25, mu: 0.6337929964, learning_rate: 0.0002047738, weight_decay: 0.0001742728

epoch time: 1356.4814453125s, input_fired_time: 18.6405811310, output_fired_time: 6.4344882965, propagate_forward_time: 389.1295776367, propagate_backward_time: 933.2014160156, weight_update_time: 0.2069902122, other_time: 9.0753784180
epoch time: 80.7628707886s, input_fired_time: 1.1512190104, output_fired_time: 0.0000000000, propagate_forward_time: 78.2146377563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3970108032
validation[          , genome  6157] predictions:    6177/  10000 (61.77%), best:    6463/10000 (64.63%), error:     11214.83203, best error:     10303.84961 on epoch:     1, epoch:    8/25, mu: 0.6443796754, learning_rate: 0.0001874029, weight_decay: 0.0001593485

epoch time: 1356.5289306641s, input_fired_time: 18.6474246979, output_fired_time: 6.4376788139, propagate_forward_time: 389.1336364746, propagate_backward_time: 933.1716308594, weight_update_time: 0.2086562514, other_time: 9.1385498047
epoch time: 80.7343063354s, input_fired_time: 1.1487967968, output_fired_time: 0.0000000000, propagate_forward_time: 78.1954269409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3900833130
validation[          , genome  6157] predictions:    6257/  10000 (62.57%), best:    6463/10000 (64.63%), error:     11021.13281, best error:     10303.84961 on epoch:     1, epoch:    9/25, mu: 0.6546517015, learning_rate: 0.0001715055, weight_decay: 0.0001457023

epoch time: 1356.0172119141s, input_fired_time: 18.6338348389, output_fired_time: 6.4314012527, propagate_forward_time: 388.9317932129, propagate_backward_time: 933.0056152344, weight_update_time: 0.2070862353, other_time: 9.0146484375
epoch time: 80.9361648560s, input_fired_time: 1.1568204165, output_fired_time: 0.0000000000, propagate_forward_time: 78.3776016235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4017410278
validation[          , genome  6157] predictions:    6315/  10000 (63.15%), best:    6463/10000 (64.63%), error:     10830.09766, best error:     10303.84961 on epoch:     1, epoch:   10/25, mu: 0.6646184325, learning_rate: 0.0001569568, weight_decay: 0.0001332247

epoch time: 1356.3519287109s, input_fired_time: 18.6625480652, output_fired_time: 6.4437274933, propagate_forward_time: 389.2530822754, propagate_backward_time: 932.8776245117, weight_update_time: 0.2088353038, other_time: 9.1149291992
epoch time: 80.8022384644s, input_fired_time: 1.1507952213, output_fired_time: 0.0000000000, propagate_forward_time: 78.2538528442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3975906372
validation[          , genome  6157] predictions:    6246/  10000 (62.46%), best:    6463/10000 (64.63%), error:     10890.22656, best error:     10303.84961 on epoch:     1, epoch:   11/25, mu: 0.6742889285, learning_rate: 0.0001436422, weight_decay: 0.0001218157

epoch time: 1356.0135498047s, input_fired_time: 18.6403789520, output_fired_time: 6.4407176971, propagate_forward_time: 388.8803405762, propagate_backward_time: 932.9906005859, weight_update_time: 0.2077556849, other_time: 9.0615234375
epoch time: 80.8353271484s, input_fired_time: 1.1431475878, output_fired_time: 0.0000000000, propagate_forward_time: 78.2949752808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3972015381
validation[          , genome  6157] predictions:    6107/  10000 (61.07%), best:    6463/10000 (64.63%), error:     11333.14160, best error:     10303.84961 on epoch:     1, epoch:   12/25, mu: 0.6836720109, learning_rate: 0.0001314570, weight_decay: 0.0001113837

epoch time: 1357.1887207031s, input_fired_time: 18.6438083649, output_fired_time: 6.4246816635, propagate_forward_time: 389.0684509277, propagate_backward_time: 933.8572387695, weight_update_time: 0.2067847699, other_time: 9.1945190430
epoch time: 80.8395004272s, input_fired_time: 1.1532756090, output_fired_time: 0.0000000000, propagate_forward_time: 78.2928237915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3934020996
validation[          , genome  6157] predictions:    6187/  10000 (61.87%), best:    6463/10000 (64.63%), error:     11097.13477, best error:     10303.84961 on epoch:     1, epoch:   13/25, mu: 0.6927762628, learning_rate: 0.0001203056, weight_decay: 0.0001018451

epoch time: 1356.7640380859s, input_fired_time: 18.6643009186, output_fired_time: 6.4286994934, propagate_forward_time: 389.0174560547, propagate_backward_time: 933.4288940430, weight_update_time: 0.2090257257, other_time: 9.2246704102
epoch time: 80.9058456421s, input_fired_time: 1.1543960571, output_fired_time: 0.0000000000, propagate_forward_time: 78.3608856201, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3905639648
validation[          , genome  6157] predictions:    6237/  10000 (62.37%), best:    6463/10000 (64.63%), error:     10937.05762, best error:     10303.84961 on epoch:     1, epoch:   14/25, mu: 0.7016099095, learning_rate: 0.0001101001, weight_decay: 0.0000931234

epoch time: 1358.9072265625s, input_fired_time: 18.6558380127, output_fired_time: 6.4407310486, propagate_forward_time: 389.6627502441, propagate_backward_time: 934.8465576172, weight_update_time: 0.2080482394, other_time: 9.3013916016
epoch time: 80.8804092407s, input_fired_time: 1.1603417397, output_fired_time: 0.0000000000, propagate_forward_time: 78.3030776978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4169921875
validation[          , genome  6157] predictions:    6368/  10000 (63.68%), best:    6463/10000 (64.63%), error:     10590.72754, best error:     10303.84961 on epoch:     1, epoch:   15/25, mu: 0.7101809978, learning_rate: 0.0001007603, weight_decay: 0.0000851485

epoch time: 1356.6225585938s, input_fired_time: 18.6283187866, output_fired_time: 6.4494457245, propagate_forward_time: 388.8698425293, propagate_backward_time: 933.3264160156, weight_update_time: 0.2082577050, other_time: 9.3485107422
epoch time: 80.9124755859s, input_fired_time: 1.1536430120, output_fired_time: 0.0000000000, propagate_forward_time: 78.3574829102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4013519287
validation[          , genome  6157] predictions:    6312/  10000 (63.12%), best:    6463/10000 (64.63%), error:     10768.03320, best error:     10303.84961 on epoch:     1, epoch:   16/25, mu: 0.7184973955, learning_rate: 0.0000922128, weight_decay: 0.0000778566

epoch time: 1355.9655761719s, input_fired_time: 18.6351604462, output_fired_time: 6.4350647926, propagate_forward_time: 388.8122863770, propagate_backward_time: 932.9284057617, weight_update_time: 0.2069102675, other_time: 9.1547241211
epoch time: 80.8966293335s, input_fired_time: 1.1515383720, output_fired_time: 0.0000000000, propagate_forward_time: 78.3551330566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3899612427
validation[          , genome  6157] predictions:    6334/  10000 (63.34%), best:    6463/10000 (64.63%), error:     10671.66113, best error:     10303.84961 on epoch:     1, epoch:   17/25, mu: 0.7265666127, learning_rate: 0.0000843904, weight_decay: 0.0000711892

epoch time: 1357.3338623047s, input_fired_time: 18.6666584015, output_fired_time: 6.4506626129, propagate_forward_time: 389.0321044922, propagate_backward_time: 933.9089965820, weight_update_time: 0.2081314921, other_time: 9.2754516602
epoch time: 81.4772491455s, input_fired_time: 1.1587880850, output_fired_time: 0.0000000000, propagate_forward_time: 78.3370285034, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9814300537
validation[          , genome  6157] predictions:    6360/  10000 (63.60%), best:    6463/10000 (64.63%), error:     10642.73926, best error:     10303.84961 on epoch:     1, epoch:   18/25, mu: 0.7343959808, learning_rate: 0.0000772316, weight_decay: 0.0000650927

epoch time: 1356.7962646484s, input_fired_time: 18.6658210754, output_fired_time: 6.4389910698, propagate_forward_time: 389.0935363770, propagate_backward_time: 933.1968383789, weight_update_time: 0.2084463537, other_time: 9.4011840820
epoch time: 80.8240814209s, input_fired_time: 1.1532928944, output_fired_time: 0.0000000000, propagate_forward_time: 78.2796401978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3911514282
validation[          , genome  6157] predictions:    6201/  10000 (62.01%), best:    6463/10000 (64.63%), error:     11136.32520, best error:     10303.84961 on epoch:     1, epoch:   19/25, mu: 0.7419926524, learning_rate: 0.0000706801, weight_decay: 0.0000595184

epoch time: 1356.9114990234s, input_fired_time: 18.6576499939, output_fired_time: 6.4281678200, propagate_forward_time: 389.2485656738, propagate_backward_time: 933.1071777344, weight_update_time: 0.2076175511, other_time: 9.4699707031
epoch time: 80.9772186279s, input_fired_time: 1.1577540636, output_fired_time: 0.0000000000, propagate_forward_time: 78.3990783691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4203872681
validation[          , genome  6157] predictions:    6230/  10000 (62.30%), best:    6463/10000 (64.63%), error:     10848.00098, best error:     10303.84961 on epoch:     1, epoch:   20/25, mu: 0.7493635416, learning_rate: 0.0000646843, weight_decay: 0.0000544214

epoch time: 1357.3419189453s, input_fired_time: 18.6542186737, output_fired_time: 6.4436311722, propagate_forward_time: 389.0970458984, propagate_backward_time: 933.6219482422, weight_update_time: 0.2086835057, other_time: 9.5251464844
epoch time: 80.9979782104s, input_fired_time: 1.1554121971, output_fired_time: 0.0000000000, propagate_forward_time: 78.4303894043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4121780396
validation[          , genome  6157] predictions:    6226/  10000 (62.26%), best:    6463/10000 (64.63%), error:     10969.04492, best error:     10303.84961 on epoch:     1, epoch:   21/25, mu: 0.7565153837, learning_rate: 0.0000591972, weight_decay: 0.0000497609

epoch time: 1356.8071289063s, input_fired_time: 18.6526393890, output_fired_time: 6.4420886040, propagate_forward_time: 388.9796752930, propagate_backward_time: 933.2429809570, weight_update_time: 0.2085496634, other_time: 9.4897460938
epoch time: 80.8000411987s, input_fired_time: 1.1570441723, output_fired_time: 0.0000000000, propagate_forward_time: 78.2436752319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3993225098
validation[          , genome  6157] predictions:    6411/  10000 (64.11%), best:    6463/10000 (64.63%), error:     10458.16211, best error:     10303.84961 on epoch:     1, epoch:   22/25, mu: 0.7634546757, learning_rate: 0.0000541755, weight_decay: 0.0000454995

epoch time: 1359.2619628906s, input_fired_time: 18.6851692200, output_fired_time: 6.4399042130, propagate_forward_time: 389.1980895996, propagate_backward_time: 935.5734863281, weight_update_time: 0.2078329772, other_time: 9.3652343750
epoch time: 80.8883819580s, input_fired_time: 1.1659398079, output_fired_time: 0.0000000000, propagate_forward_time: 78.3141098022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4083328247
validation[          , genome  6157] predictions:    6387/  10000 (63.87%), best:    6463/10000 (64.63%), error:     10502.34180, best error:     10303.84961 on epoch:     1, epoch:   23/25, mu: 0.7701877356, learning_rate: 0.0000495798, weight_decay: 0.0000416030

epoch time: 1356.9377441406s, input_fired_time: 18.6673526764, output_fired_time: 6.4408206940, propagate_forward_time: 389.0272521973, propagate_backward_time: 933.5581054688, weight_update_time: 0.2097296268, other_time: 9.2442626953
epoch time: 80.8065414429s, input_fired_time: 1.1578845978, output_fired_time: 0.0000000000, propagate_forward_time: 78.2515029907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3971557617
validation[          , genome  6157] predictions:    6358/  10000 (63.58%), best:    6463/10000 (64.63%), error:     10517.14160, best error:     10303.84961 on epoch:     1, epoch:   24/25, mu: 0.7767207026, learning_rate: 0.0000453739, weight_decay: 0.0000380402

epoch time: 1356.5299072266s, input_fired_time: 18.6675510406, output_fired_time: 6.4462685585, propagate_forward_time: 388.8041687012, propagate_backward_time: 933.3261718750, weight_update_time: 0.2092293352, other_time: 9.2856445313
epoch time: 80.9140777588s, input_fired_time: 1.1662695408, output_fired_time: 0.0000000000, propagate_forward_time: 78.3491363525, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3986740112
validation[          , genome  6157] predictions:    6433/  10000 (64.33%), best:    6463/10000 (64.63%), error:     10514.58496, best error:     10303.84961 on epoch:     1, epoch:   25/25, mu: 0.7830594778, learning_rate: 0.0000415249, weight_decay: 0.0000347826

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 401.9347839355s, input_fired_time: 5.8236675262, output_fired_time: 0.0000000000, propagate_forward_time: 388.7466125488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.3645019531
best training[          , genome  6157] predictions:   36189/  50000 (72.38%), best:    6463/10000 (64.63%), error:     42868.77734, best error:     10303.84961 on epoch:     1, epoch:   26/25, mu: 0.7892098427, learning_rate: 0.0000380023, weight_decay: 0.0000318039
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 81.6157073975s, input_fired_time: 1.1693949699, output_fired_time: 0.0000000000, propagate_forward_time: 78.3117294312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1345825195
   testing[          , genome  6157] predictions:    6463/  10000 (64.63%), best:    6463/10000 (64.63%), error:     10303.84961, best error:     10303.84961 on epoch:     1, epoch:   26/25, mu: 0.7892098427, learning_rate: 0.0000380023, weight_decay: 0.0000318039
backpropagation finished successfully!
04:27:00 (11324): called boinc_finish(0)

</stderr_txt>
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