Nameexact_genome_1542383404_169_6071_1
Workunit4093159
Created16 Nov 2018, 16:53:59 UTC
Sent16 Nov 2018, 17:20:56 UTC
Report deadline9 Dec 2018, 23:03:04 UTC
Received1 Dec 2018, 10:46:19 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID85280
Run time8 hours 57 min 4 sec
CPU time8 hours 55 min 52 sec
Validate stateValid
Credit5,809.40
Device peak FLOPS4.14 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.57 MB
Peak swap size545.27 MB
Peak disk usage11.04 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6071.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6071_1_r1699579306_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6071.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6071
read normal distribution: '0 -1.33403098583221 -0.648074924945831'
generator_str: '1228304369'
read generator: 1228304369
read generated_by_map:
1 change_size 1
reading 93 nodes.
reading 355 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: 351231172
post shuffle 1: 969987407
epoch time: 1258.50793457031s, input_fired_time: 8.06543254852295, output_fired_time: 8.22021579742432, propagate_forward_time: 487.310485839844, propagate_backward_time: 744.220947265625, weight_update_time: 1.23430407047272, other_time: 10.6908569335938
epoch time: 102.334129333496s, input_fired_time: 1.00974571704865, output_fired_time: 0, propagate_forward_time: 99.4724502563477, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.85193634033203
validation[          , genome  6071] predictions:    5395/  10000 (53.95%), best:    5395/10000 (53.95%), error:     15193.22461, best error:     15193.22461 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

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_1542383404_169_6071.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6071_1_r1699579306_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.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: 0.5245
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.011875
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000475
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: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5395
read best_validation_error: 15193.2
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: 6071
read normal distribution: '0 -1.33403098583221 -0.648074924945831'
generator_str: '1490021939'
read generator: 1490021939
read generated_by_map:
1 change_size 1
reading 93 nodes.
reading 355 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
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!
epoch time: 1266.4853515625s, input_fired_time: 10.0930585861206, output_fired_time: 7.59909152984619, propagate_forward_time: 496.044799804688, propagate_backward_time: 742.179992675781, weight_update_time: 1.23112905025482, other_time: 10.5684204101563
epoch time: 99.8719482421875s, input_fired_time: 0.992838382720947, output_fired_time: 0, propagate_forward_time: 97.0515975952148, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.8275146484375
validation[          , genome  6071] predictions:    5248/  10000 (52.48%), best:    5395/10000 (53.95%), error:     15429.49707, best error:     15193.22461 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1248.8776855469s, input_fired_time: 10.0200443268, output_fired_time: 7.5525851250, propagate_forward_time: 510.9185791016, propagate_backward_time: 708.6318969727, weight_update_time: 1.2317591906, other_time: 11.7545776367
epoch time: 101.2712554932s, input_fired_time: 0.9877990484, output_fired_time: 0.0000000000, propagate_forward_time: 98.4489974976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8344573975
validation[          , genome  6071] predictions:    5136/  10000 (51.36%), best:    5395/10000 (53.95%), error:     15827.67285, best error:     15193.22461 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1262.7672119141s, input_fired_time: 8.0049066544, output_fired_time: 8.6076774597, propagate_forward_time: 491.3805236816, propagate_backward_time: 744.1317138672, weight_update_time: 1.2328011990, other_time: 10.6424560547
epoch time: 102.3788604736s, input_fired_time: 0.9911265969, output_fired_time: 0.0000000000, propagate_forward_time: 99.5737609863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8139724731
validation[          , genome  6071] predictions:    5109/  10000 (51.09%), best:    5395/10000 (53.95%), error:     16025.17188, best error:     15193.22461 on epoch:     0, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1250.0433349609s, input_fired_time: 7.9980325699, output_fired_time: 8.5470743179, propagate_forward_time: 507.5939331055, propagate_backward_time: 715.1644287109, weight_update_time: 1.2312506437, other_time: 10.7398071289
epoch time: 100.0304641724s, input_fired_time: 0.9682193398, output_fired_time: 0.0000000000, propagate_forward_time: 97.2285537720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8336944580
validation[          , genome  6071] predictions:    5145/  10000 (51.45%), best:    5395/10000 (53.95%), error:     15753.12891, best error:     15193.22461 on epoch:     0, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1251.7766113281s, input_fired_time: 7.9516010284, output_fired_time: 7.5774598122, propagate_forward_time: 504.9091186523, propagate_backward_time: 719.7324218750, weight_update_time: 1.2285587788, other_time: 11.6058959961
epoch time: 102.6176910400s, input_fired_time: 0.9960962534, output_fired_time: 0.0000000000, propagate_forward_time: 98.8074874878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8141098022
validation[          , genome  6071] predictions:    5463/  10000 (54.63%), best:    5463/10000 (54.63%), error:     14150.73340, best error:     14150.73340 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1260.0816650391s, input_fired_time: 8.0181074142, output_fired_time: 7.6876440048, propagate_forward_time: 481.9067077637, propagate_backward_time: 749.6768798828, weight_update_time: 1.2329308987, other_time: 12.7923583984
epoch time: 101.8109436035s, input_fired_time: 2.0002195835, output_fired_time: 0.0000000000, propagate_forward_time: 96.9600448608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8506774902
validation[          , genome  6071] predictions:    5302/  10000 (53.02%), best:    5463/10000 (54.63%), error:     15356.69336, best error:     14150.73340 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1252.8312988281s, input_fired_time: 8.9632234573, output_fired_time: 8.6468257904, propagate_forward_time: 490.9211425781, propagate_backward_time: 730.4962158203, weight_update_time: 1.2407324314, other_time: 13.8038330078
epoch time: 102.5607604980s, input_fired_time: 0.9773207307, output_fired_time: 0.0000000000, propagate_forward_time: 99.7857131958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7977294922
validation[          , genome  6071] predictions:    5215/  10000 (52.15%), best:    5463/10000 (54.63%), error:     15186.45215, best error:     14150.73340 on epoch:     5, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1261.4526367188s, input_fired_time: 11.0031270981, output_fired_time: 8.6172771454, propagate_forward_time: 494.1223754883, propagate_backward_time: 737.0801391602, weight_update_time: 1.2294061184, other_time: 10.6296386719
epoch time: 101.2213287354s, input_fired_time: 0.9703857899, output_fired_time: 0.0000000000, propagate_forward_time: 98.4428558350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8080902100
validation[          , genome  6071] predictions:    5382/  10000 (53.82%), best:    5382/10000 (53.82%), error:     14101.51074, best error:     14101.51074 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1240.9079589844s, input_fired_time: 8.1705436707, output_fired_time: 7.5250015259, propagate_forward_time: 494.7079772949, propagate_backward_time: 714.6257324219, weight_update_time: 2.2392814159, other_time: 15.8786621094
epoch time: 100.9190673828s, input_fired_time: 0.9839591980, output_fired_time: 0.0000000000, propagate_forward_time: 98.1039886475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8311157227
validation[          , genome  6071] predictions:    5503/  10000 (55.03%), best:    5382/10000 (53.82%), error:     14598.99414, best error:     14101.51074 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1264.6815185547s, input_fired_time: 8.0017929077, output_fired_time: 7.5928902626, propagate_forward_time: 494.8684692383, propagate_backward_time: 742.6516723633, weight_update_time: 1.2320314646, other_time: 11.5666503906
epoch time: 102.3124160767s, input_fired_time: 0.9903712869, output_fired_time: 0.0000000000, propagate_forward_time: 99.5295104980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7925338745
validation[          , genome  6071] predictions:    5263/  10000 (52.63%), best:    5382/10000 (53.82%), error:     15561.27637, best error:     14101.51074 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1245.4133300781s, input_fired_time: 8.9827508926, output_fired_time: 7.5675010681, propagate_forward_time: 489.1749267578, propagate_backward_time: 729.0214233398, weight_update_time: 1.2287825346, other_time: 10.6666870117
epoch time: 102.0409469604s, input_fired_time: 0.9959797859, output_fired_time: 0.0000000000, propagate_forward_time: 99.2663192749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7786483765
validation[          , genome  6071] predictions:    5345/  10000 (53.45%), best:    5382/10000 (53.82%), error:     14586.80078, best error:     14101.51074 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1254.7640380859s, input_fired_time: 7.9903154373, output_fired_time: 7.5960893631, propagate_forward_time: 496.9673156738, propagate_backward_time: 729.5145874023, weight_update_time: 1.2321445942, other_time: 12.6957397461
epoch time: 102.8254089355s, input_fired_time: 0.9950534701, output_fired_time: 0.0000000000, propagate_forward_time: 100.0288314819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8015213013
validation[          , genome  6071] predictions:    5606/  10000 (56.06%), best:    5606/10000 (56.06%), error:     13661.22949, best error:     13661.22949 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1259.3933105469s, input_fired_time: 8.0129299164, output_fired_time: 7.5938491821, propagate_forward_time: 507.1776733398, propagate_backward_time: 725.9915161133, weight_update_time: 1.2270246744, other_time: 10.6173095703
epoch time: 101.7669219971s, input_fired_time: 0.9990993738, output_fired_time: 0.0000000000, propagate_forward_time: 98.9382324219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8295898438
validation[          , genome  6071] predictions:    5519/  10000 (55.19%), best:    5606/10000 (56.06%), error:     13767.15430, best error:     13661.22949 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1266.6591796875s, input_fired_time: 8.0681657791, output_fired_time: 8.6949863434, propagate_forward_time: 498.3033142090, propagate_backward_time: 740.8363037109, weight_update_time: 1.2339546680, other_time: 10.7564697266
epoch time: 102.3902511597s, input_fired_time: 0.9938616753, output_fired_time: 0.0000000000, propagate_forward_time: 99.5926666260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8037261963
validation[          , genome  6071] predictions:    5458/  10000 (54.58%), best:    5606/10000 (56.06%), error:     14253.40137, best error:     13661.22949 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1259.3879394531s, input_fired_time: 8.0001277924, output_fired_time: 7.6496992111, propagate_forward_time: 481.0217590332, propagate_backward_time: 751.0336303711, weight_update_time: 1.2362838984, other_time: 11.6828002930
epoch time: 102.2588424683s, input_fired_time: 1.0016998053, output_fired_time: 0.0000000000, propagate_forward_time: 98.4255905151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8315505981
validation[          , genome  6071] predictions:    5535/  10000 (55.35%), best:    5606/10000 (56.06%), error:     13881.63281, best error:     13661.22949 on epoch:    12, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1256.2879638672s, input_fired_time: 8.0263423920, output_fired_time: 8.6231584549, propagate_forward_time: 509.2505798340, propagate_backward_time: 717.5623168945, weight_update_time: 1.2346700430, other_time: 12.8255004883
epoch time: 100.5540237427s, input_fired_time: 0.9979313612, output_fired_time: 0.0000000000, propagate_forward_time: 97.7347335815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8213577271
validation[          , genome  6071] predictions:    5260/  10000 (52.60%), best:    5606/10000 (56.06%), error:     15262.03418, best error:     13661.22949 on epoch:    12, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1258.1397705078s, input_fired_time: 9.0127344131, output_fired_time: 9.6161556244, propagate_forward_time: 508.0394897461, propagate_backward_time: 720.8266601563, weight_update_time: 1.2363028526, other_time: 10.6447143555
epoch time: 102.7647933960s, input_fired_time: 1.0052099228, output_fired_time: 0.0000000000, propagate_forward_time: 99.9463348389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8132476807
validation[          , genome  6071] predictions:    5584/  10000 (55.84%), best:    5606/10000 (56.06%), error:     14024.83301, best error:     13661.22949 on epoch:    12, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1249.3350830078s, input_fired_time: 9.0219678879, output_fired_time: 8.5646514893, propagate_forward_time: 509.3231506348, propagate_backward_time: 710.6211547852, weight_update_time: 1.2244157791, other_time: 11.8041381836
epoch time: 101.0585403442s, input_fired_time: 0.9939725399, output_fired_time: 0.0000000000, propagate_forward_time: 98.2287368774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8358306885
validation[          , genome  6071] predictions:    5614/  10000 (56.14%), best:    5614/10000 (56.14%), error:     13556.19141, best error:     13556.19141 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1255.2322998047s, input_fired_time: 8.0276575089, output_fired_time: 7.5533685684, propagate_forward_time: 502.2403259277, propagate_backward_time: 726.7276611328, weight_update_time: 1.2270592451, other_time: 10.6832275391
epoch time: 102.5484390259s, input_fired_time: 0.9985232353, output_fired_time: 0.0000000000, propagate_forward_time: 98.7312088013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8187103271
validation[          , genome  6071] predictions:    5524/  10000 (55.24%), best:    5614/10000 (56.14%), error:     13659.65430, best error:     13556.19141 on epoch:    18, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1260.1102294922s, input_fired_time: 8.0460634232, output_fired_time: 7.5773944855, propagate_forward_time: 500.6510009766, propagate_backward_time: 731.1914062500, weight_update_time: 1.2232760191, other_time: 12.6444091797
epoch time: 101.8942184448s, input_fired_time: 0.9955282807, output_fired_time: 0.0000000000, propagate_forward_time: 99.0893783569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8093109131
validation[          , genome  6071] predictions:    5646/  10000 (56.46%), best:    5614/10000 (56.14%), error:     13582.21582, best error:     13556.19141 on epoch:    18, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1252.8623046875s, input_fired_time: 9.0792627335, output_fired_time: 7.5565471649, propagate_forward_time: 481.5579528809, propagate_backward_time: 741.1365966797, weight_update_time: 1.2322070599, other_time: 13.5319824219
epoch time: 104.0387268066s, input_fired_time: 1.0047707558, output_fired_time: 0.0000000000, propagate_forward_time: 101.2541198730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7798385620
validation[          , genome  6071] predictions:    5839/  10000 (58.39%), best:    5839/10000 (58.39%), error:     12611.28223, best error:     12611.28223 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1260.4278564453s, input_fired_time: 8.0699357986, output_fired_time: 8.5812788010, propagate_forward_time: 504.0154418945, propagate_backward_time: 728.0869750977, weight_update_time: 1.2327284813, other_time: 11.6741943359
epoch time: 102.9863662720s, input_fired_time: 1.0111783743, output_fired_time: 0.0000000000, propagate_forward_time: 100.1349029541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8402862549
validation[          , genome  6071] predictions:    5563/  10000 (55.63%), best:    5839/10000 (58.39%), error:     13740.58691, best error:     12611.28223 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1257.9696044922s, input_fired_time: 9.0473871231, output_fired_time: 8.5734577179, propagate_forward_time: 513.5100097656, propagate_backward_time: 716.1225585938, weight_update_time: 1.2350497246, other_time: 10.7161865234
epoch time: 102.3419342041s, input_fired_time: 0.9996354580, output_fired_time: 0.0000000000, propagate_forward_time: 99.5291595459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8131408691
validation[          , genome  6071] predictions:    5749/  10000 (57.49%), best:    5839/10000 (58.39%), error:     12922.57031, best error:     12611.28223 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1220.4681396484s, input_fired_time: 7.8777928352, output_fired_time: 8.3817071915, propagate_forward_time: 486.0924072266, propagate_backward_time: 706.6604614258, weight_update_time: 2.2049221992, other_time: 11.4557495117
epoch time: 94.0497589111s, input_fired_time: 1.9566599131, output_fired_time: 0.0000000000, propagate_forward_time: 90.3672943115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7258071899
validation[          , genome  6071] predictions:    5776/  10000 (57.76%), best:    5839/10000 (58.39%), error:     13326.04004, best error:     12611.28223 on epoch:    21, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1166.1378173828s, input_fired_time: 9.5687246323, output_fired_time: 6.9981260300, propagate_forward_time: 452.7488098145, propagate_backward_time: 682.7369995117, weight_update_time: 1.1533364058, other_time: 14.0851440430
epoch time: 95.7356338501s, input_fired_time: 0.9426632524, output_fired_time: 0.0000000000, propagate_forward_time: 93.1276168823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6653518677
validation[          , genome  6071] predictions:    5670/  10000 (56.70%), best:    5839/10000 (58.39%), error:     13319.55176, best error:     12611.28223 on epoch:    21, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 475.6012878418s, input_fired_time: 5.7489356995, output_fired_time: 0.0000000000, propagate_forward_time: 460.0903015137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.7620544434
best training[          , genome  6071] predictions:   32942/  50000 (65.88%), best:    5839/10000 (58.39%), error:     49648.57031, best error:     12611.28223 on epoch:    21, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 95.9108123779s, input_fired_time: 0.9504200816, output_fired_time: 0.0000000000, propagate_forward_time: 93.2829360962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6774597168
   testing[          , genome  6071] predictions:    5839/  10000 (58.39%), best:    5839/10000 (58.39%), error:     12611.28223, best error:     12611.28223 on epoch:    21, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
04:30:01 (9652): called boinc_finish(0)

</stderr_txt>
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