Nameexact_genome_1542605141_167_6292_0
Workunit4098453
Created19 Nov 2018, 6:38:58 UTC
Sent19 Nov 2018, 6:57:03 UTC
Report deadline18 Dec 2018, 11:53:50 UTC
Received20 Nov 2018, 8:19:12 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID44167
Run time8 hours 36 min 43 sec
CPU time8 hours 15 min 28 sec
Validate stateValid
Credit7,301.53
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.54 MB
Peak swap size544.41 MB
Peak disk usage12.18 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_1542605141_167_6292.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_167_6292_0_r1016995997_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_167_6292.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: 6292
read normal distribution: '1 0 0'
generator_str: '1038837441'
read generator: 1038837441
read generated_by_map:
1 crossover 1
reading 94 nodes.
reading 417 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: 698820777
post shuffle 1: 998206488
epoch time: 1106.76171875s, input_fired_time: 12.6550779342651, output_fired_time: 9.86867809295654, propagate_forward_time: 399.344879150391, propagate_backward_time: 662.54638671875, weight_update_time: 1.73544716835022, other_time: 22.3468017578125
epoch time: 85.9094009399414s, input_fired_time: 1.7325302362442, output_fired_time: 0, propagate_forward_time: 80.0854568481445, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.09141540527344
validation[          , genome  6292] predictions:    5020/  10000 (50.20%), best:    5020/10000 (50.20%), error:     17257.31055, best error:     17257.31055 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1103.4964599609s, input_fired_time: 11.5506391525, output_fired_time: 9.1456956863, propagate_forward_time: 399.2485656738, propagate_backward_time: 664.1146240234, weight_update_time: 1.6078457832, other_time: 19.4368896484
epoch time: 86.9899063110s, input_fired_time: 1.0264250040, output_fired_time: 0.0000000000, propagate_forward_time: 84.1336822510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8297958374
validation[          , genome  6292] predictions:    5015/  10000 (50.15%), best:    5015/10000 (50.15%), error:     16435.98438, best error:     16435.98438 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1103.7714843750s, input_fired_time: 9.0094995499, output_fired_time: 7.3461303711, propagate_forward_time: 402.6862487793, propagate_backward_time: 671.3515625000, weight_update_time: 1.2684319019, other_time: 13.3779296875
epoch time: 83.6800460815s, input_fired_time: 0.8167147040, output_fired_time: 0.0000000000, propagate_forward_time: 81.1766738892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6866607666
validation[          , genome  6292] predictions:    4817/  10000 (48.17%), best:    5015/10000 (50.15%), error:     17394.97070, best error:     16435.98438 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1057.0568847656s, input_fired_time: 7.3372220993, output_fired_time: 5.9732460976, propagate_forward_time: 383.7686767578, propagate_backward_time: 650.1521606445, weight_update_time: 1.0600854158, other_time: 9.8255004883
epoch time: 76.3412246704s, input_fired_time: 0.7436352372, output_fired_time: 0.0000000000, propagate_forward_time: 74.0164718628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5811157227
validation[          , genome  6292] predictions:    4767/  10000 (47.67%), best:    5015/10000 (50.15%), error:     18145.51367, best error:     16435.98438 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1050.6456298828s, input_fired_time: 7.0504016876, output_fired_time: 5.8009839058, propagate_forward_time: 379.2843017578, propagate_backward_time: 638.8084106445, weight_update_time: 1.0660403967, other_time: 19.7014770508
epoch time: 76.5539703369s, input_fired_time: 0.7690421939, output_fired_time: 0.0000000000, propagate_forward_time: 74.1740112305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6109161377
validation[          , genome  6292] predictions:    4751/  10000 (47.51%), best:    5015/10000 (50.15%), error:     18024.11914, best error:     16435.98438 on epoch:     1, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1061.6295166016s, input_fired_time: 7.1096730232, output_fired_time: 5.9060893059, propagate_forward_time: 387.5220031738, propagate_backward_time: 651.4205932617, weight_update_time: 1.0624488592, other_time: 9.6712036133
epoch time: 90.6262817383s, input_fired_time: 0.8296071291, output_fired_time: 0.0000000000, propagate_forward_time: 87.9745407104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8221359253
validation[          , genome  6292] predictions:    5036/  10000 (50.36%), best:    5036/10000 (50.36%), error:     16171.80371, best error:     16171.80371 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1122.7117919922s, input_fired_time: 7.1949772835, output_fired_time: 6.0014491081, propagate_forward_time: 396.1689147949, propagate_backward_time: 703.3508300781, weight_update_time: 1.0671520233, other_time: 9.9956054688
epoch time: 77.6838073730s, input_fired_time: 0.7858728766, output_fired_time: 0.0000000000, propagate_forward_time: 75.1990432739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6988906860
validation[          , genome  6292] predictions:    5063/  10000 (50.63%), best:    5063/10000 (50.63%), error:     15460.71484, best error:     15460.71484 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1147.9645996094s, input_fired_time: 8.3823699951, output_fired_time: 6.7919974327, propagate_forward_time: 429.4711608887, propagate_backward_time: 690.7497558594, weight_update_time: 1.2788962126, other_time: 12.5693359375
epoch time: 89.4002380371s, input_fired_time: 1.0521522760, output_fired_time: 0.0000000000, propagate_forward_time: 86.3558044434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9922790527
validation[          , genome  6292] predictions:    5541/  10000 (55.41%), best:    5541/10000 (55.41%), error:     14353.58887, best error:     14353.58887 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1150.9460449219s, input_fired_time: 9.5982942581, output_fired_time: 7.6984872818, propagate_forward_time: 427.3870849609, propagate_backward_time: 691.6362915039, weight_update_time: 1.3350502253, other_time: 14.6259155273
epoch time: 98.9835968018s, input_fired_time: 0.7981365919, output_fired_time: 0.0000000000, propagate_forward_time: 96.5430755615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6423873901
validation[          , genome  6292] predictions:    5124/  10000 (51.24%), best:    5541/10000 (55.41%), error:     14819.03223, best error:     14353.58887 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1142.9750976563s, input_fired_time: 10.8728160858, output_fired_time: 8.6947307587, propagate_forward_time: 417.4673767090, propagate_backward_time: 688.7421875000, weight_update_time: 1.4847360849, other_time: 17.1979980469
epoch time: 82.5856475830s, input_fired_time: 1.1223556995, output_fired_time: 0.0000000000, propagate_forward_time: 79.0378799438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4254150391
validation[          , genome  6292] predictions:    5463/  10000 (54.63%), best:    5463/10000 (54.63%), error:     14312.46777, best error:     14312.46777 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1148.5648193359s, input_fired_time: 7.9430470467, output_fired_time: 6.6440277100, propagate_forward_time: 400.6543579102, propagate_backward_time: 721.6408691406, weight_update_time: 1.1605215073, other_time: 11.6825561523
epoch time: 92.3805847168s, input_fired_time: 1.5683866739, output_fired_time: 0.0000000000, propagate_forward_time: 86.7310562134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0811386108
validation[          , genome  6292] predictions:    5191/  10000 (51.91%), best:    5463/10000 (54.63%), error:     14539.13965, best error:     14312.46777 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1117.8051757813s, input_fired_time: 10.6138620377, output_fired_time: 8.5530090332, propagate_forward_time: 397.9411926270, propagate_backward_time: 683.0371704102, weight_update_time: 1.5308594704, other_time: 17.6599731445
epoch time: 89.5923156738s, input_fired_time: 1.7420454025, output_fired_time: 0.0000000000, propagate_forward_time: 83.6315460205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2187271118
validation[          , genome  6292] predictions:    5288/  10000 (52.88%), best:    5463/10000 (54.63%), error:     14386.98926, best error:     14312.46777 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1150.7747802734s, input_fired_time: 10.3890657425, output_fired_time: 8.4108114243, propagate_forward_time: 439.2915954590, propagate_backward_time: 675.5673828125, weight_update_time: 1.4277421236, other_time: 17.1159667969
epoch time: 84.5277481079s, input_fired_time: 1.3487125635, output_fired_time: 0.0000000000, propagate_forward_time: 79.9400482178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2389907837
validation[          , genome  6292] predictions:    5617/  10000 (56.17%), best:    5617/10000 (56.17%), error:     13422.96777, best error:     13422.96777 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1122.3248291016s, input_fired_time: 10.6935844421, output_fired_time: 8.5133132935, propagate_forward_time: 416.6271972656, propagate_backward_time: 668.9874877930, weight_update_time: 1.4789062738, other_time: 17.5032348633
epoch time: 86.9233245850s, input_fired_time: 1.6491481066, output_fired_time: 0.0000000000, propagate_forward_time: 81.1615447998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1126327515
validation[          , genome  6292] predictions:    5662/  10000 (56.62%), best:    5662/10000 (56.62%), error:     13280.80859, best error:     13280.80859 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1120.1982421875s, input_fired_time: 7.8709630966, output_fired_time: 6.4282937050, propagate_forward_time: 424.1913146973, propagate_backward_time: 670.5876464844, weight_update_time: 1.1274292469, other_time: 11.1199951172
epoch time: 77.7684097290s, input_fired_time: 0.7784755230, output_fired_time: 0.0000000000, propagate_forward_time: 75.3186416626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6712951660
validation[          , genome  6292] predictions:    5259/  10000 (52.59%), best:    5662/10000 (56.62%), error:     14677.58301, best error:     13280.80859 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1082.7385253906s, input_fired_time: 7.6208338737, output_fired_time: 6.3629717827, propagate_forward_time: 396.1797485352, propagate_backward_time: 661.7945556641, weight_update_time: 1.1442377567, other_time: 10.7804565430
epoch time: 77.6393585205s, input_fired_time: 0.7789692879, output_fired_time: 0.0000000000, propagate_forward_time: 75.2403106689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6200790405
validation[          , genome  6292] predictions:    4989/  10000 (49.89%), best:    5662/10000 (56.62%), error:     15508.17773, best error:     13280.80859 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1075.5545654297s, input_fired_time: 8.7229785919, output_fired_time: 7.1118912697, propagate_forward_time: 388.2321777344, propagate_backward_time: 658.5841674805, weight_update_time: 1.2442291975, other_time: 12.9032592773
epoch time: 78.7800521851s, input_fired_time: 0.8226319551, output_fired_time: 0.0000000000, propagate_forward_time: 76.3333511353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6240692139
validation[          , genome  6292] predictions:    5547/  10000 (55.47%), best:    5662/10000 (56.62%), error:     13661.05859, best error:     13280.80859 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1042.2000732422s, input_fired_time: 7.2296795845, output_fired_time: 5.8878960609, propagate_forward_time: 383.7647094727, propagate_backward_time: 635.6914062500, weight_update_time: 1.0548900366, other_time: 9.6262817383
epoch time: 76.7895736694s, input_fired_time: 0.7705966234, output_fired_time: 0.0000000000, propagate_forward_time: 74.4060668945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6129074097
validation[          , genome  6292] predictions:    5607/  10000 (56.07%), best:    5662/10000 (56.62%), error:     13878.04199, best error:     13280.80859 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1064.0197753906s, input_fired_time: 7.2758312225, output_fired_time: 5.9734334946, propagate_forward_time: 399.9006042480, propagate_backward_time: 641.0627441406, weight_update_time: 1.0779898167, other_time: 9.8071289063
epoch time: 78.7402954102s, input_fired_time: 0.8023185134, output_fired_time: 0.0000000000, propagate_forward_time: 76.2859268188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6520538330
validation[          , genome  6292] predictions:    5468/  10000 (54.68%), best:    5662/10000 (56.62%), error:     14633.93457, best error:     13280.80859 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1098.4060058594s, input_fired_time: 9.5431900024, output_fired_time: 7.9462842941, propagate_forward_time: 395.0925903320, propagate_backward_time: 671.6303100586, weight_update_time: 1.3068672419, other_time: 14.1936035156
epoch time: 89.6686096191s, input_fired_time: 1.7982544899, output_fired_time: 0.0000000000, propagate_forward_time: 83.8265380859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0438156128
validation[          , genome  6292] predictions:    5674/  10000 (56.74%), best:    5662/10000 (56.62%), error:     13437.25195, best error:     13280.80859 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1130.0866699219s, input_fired_time: 13.2565526962, output_fired_time: 10.5635938644, propagate_forward_time: 406.4290771484, propagate_backward_time: 677.4004516602, weight_update_time: 1.7061201334, other_time: 22.4369506836
epoch time: 85.2921752930s, input_fired_time: 1.6168577671, output_fired_time: 0.0000000000, propagate_forward_time: 79.6501998901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0251159668
validation[          , genome  6292] predictions:    5382/  10000 (53.82%), best:    5662/10000 (56.62%), error:     14206.26172, best error:     13280.80859 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1103.4833984375s, input_fired_time: 12.7911262512, output_fired_time: 10.0325546265, propagate_forward_time: 397.3006896973, propagate_backward_time: 660.9546508789, weight_update_time: 1.7110816240, other_time: 22.4043579102
epoch time: 83.9671936035s, input_fired_time: 1.5781464577, output_fired_time: 0.0000000000, propagate_forward_time: 78.5453414917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8437042236
validation[          , genome  6292] predictions:    5488/  10000 (54.88%), best:    5662/10000 (56.62%), error:     13999.62891, best error:     13280.80859 on epoch:    13, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1142.3072509766s, input_fired_time: 13.8958187103, output_fired_time: 11.0724763870, propagate_forward_time: 411.4929199219, propagate_backward_time: 683.4476318359, weight_update_time: 1.7076369524, other_time: 22.3983154297
epoch time: 89.8792724609s, input_fired_time: 1.6515203714, output_fired_time: 0.0000000000, propagate_forward_time: 84.3615875244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8661651611
validation[          , genome  6292] predictions:    5651/  10000 (56.51%), best:    5662/10000 (56.62%), error:     13827.61426, best error:     13280.80859 on epoch:    13, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1133.5195312500s, input_fired_time: 13.8501501083, output_fired_time: 10.9232759476, propagate_forward_time: 413.8603820801, propagate_backward_time: 671.8070068359, weight_update_time: 1.7899997234, other_time: 23.0788574219
epoch time: 88.3107376099s, input_fired_time: 1.9138820171, output_fired_time: 0.0000000000, propagate_forward_time: 81.9894409180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4074172974
validation[          , genome  6292] predictions:    5705/  10000 (57.05%), best:    5705/10000 (57.05%), error:     13178.44434, best error:     13178.44434 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1129.1090087891s, input_fired_time: 13.9454956055, output_fired_time: 11.0403547287, propagate_forward_time: 405.7582397461, propagate_backward_time: 674.3731689453, weight_update_time: 1.8059412241, other_time: 23.9917602539
epoch time: 89.6432647705s, input_fired_time: 1.8944219351, output_fired_time: 0.0000000000, propagate_forward_time: 83.3972320557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3516082764
validation[          , genome  6292] predictions:    5760/  10000 (57.60%), best:    5760/10000 (57.60%), error:     13059.13184, best error:     13059.13184 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1165.2211914063s, input_fired_time: 14.0058050156, output_fired_time: 11.3297519684, propagate_forward_time: 417.7679748535, propagate_backward_time: 698.7376708984, weight_update_time: 1.7593077421, other_time: 23.3800048828
epoch time: 90.9914016724s, input_fired_time: 1.8582314253, output_fired_time: 0.0000000000, propagate_forward_time: 84.9932556152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1399154663
validation[          , genome  6292] predictions:    5690/  10000 (56.90%), best:    5760/10000 (57.60%), error:     13108.51367, best error:     13059.13184 on epoch:    24, 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: 450.9899597168s, input_fired_time: 9.3244352341, output_fired_time: 0.0000000000, propagate_forward_time: 420.2459411621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 21.4195861816
best training[          , genome  6292] predictions:   32188/  50000 (64.38%), best:    5760/10000 (57.60%), error:     52231.33203, best error:     13059.13184 on epoch:    24, 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: 86.8005752563s, input_fired_time: 1.7476967573, output_fired_time: 0.0000000000, propagate_forward_time: 80.4214935303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6313858032
   testing[          , genome  6292] predictions:    5760/  10000 (57.60%), best:    5760/10000 (57.60%), error:     13059.13184, best error:     13059.13184 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
16:46:35 (7112): called boinc_finish(0)

</stderr_txt>
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