Nameexact_genome_1542649503_168_6358_1
Workunit4099984
Created20 Nov 2018, 4:59:51 UTC
Sent20 Nov 2018, 5:07:52 UTC
Report deadline17 Dec 2018, 13:51:32 UTC
Received23 Nov 2018, 4:19:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time10 hours 17 min 16 sec
CPU time10 hours 11 min 13 sec
Validate stateValid
Credit6,840.92
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size526.66 MB
Peak swap size524.66 MB
Peak disk usage11.66 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_1542649503_168_6358.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_168_6358_1_r348857721_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_168_6358.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: 6358
read normal distribution: '1 0 0'
generator_str: '1472872309'
read generator: 1472872309
read generated_by_map:
1 crossover 1
reading 96 nodes.
reading 412 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: 520898394
post shuffle 1: 1155265906
epoch time: 1298.13977050781s, input_fired_time: 10.8457002639771, output_fired_time: 10.1588125228882, propagate_forward_time: 488.0625, propagate_backward_time: 776.550598144531, weight_update_time: 1.15003073215485, other_time: 12.5221557617188
epoch time: 101.135597229004s, input_fired_time: 1.33837950229645, output_fired_time: 0, propagate_forward_time: 97.5804138183594, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.21680450439453
validation[          , genome  6358] predictions:    4546/  10000 (45.46%), best:    4546/10000 (45.46%), error:     21264.90039, best error:     21264.90039 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1299.0921630859s, input_fired_time: 10.8082990646, output_fired_time: 10.1289215088, propagate_forward_time: 488.6997375488, propagate_backward_time: 776.8758544922, weight_update_time: 1.1610330343, other_time: 12.5793457031
epoch time: 101.0215606689s, input_fired_time: 1.3546755314, output_fired_time: 0.0000000000, propagate_forward_time: 97.4698638916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1970214844
validation[          , genome  6358] predictions:    5126/  10000 (51.26%), best:    5126/10000 (51.26%), error:     17066.91406, best error:     17066.91406 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1306.6997070313s, input_fired_time: 10.8294887543, output_fired_time: 10.1829662323, propagate_forward_time: 492.0421447754, propagate_backward_time: 781.0169677734, weight_update_time: 1.1661412716, other_time: 12.6281738281
epoch time: 101.5413284302s, input_fired_time: 1.3468759060, output_fired_time: 0.0000000000, propagate_forward_time: 97.9740447998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2204055786
validation[          , genome  6358] predictions:    5208/  10000 (52.08%), best:    5208/10000 (52.08%), error:     16141.48633, best error:     16141.48633 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1306.3964843750s, input_fired_time: 10.7831201553, output_fired_time: 10.1448125839, propagate_forward_time: 491.1819152832, propagate_backward_time: 781.6810302734, weight_update_time: 1.1673541069, other_time: 12.6057128906
epoch time: 101.7385330200s, input_fired_time: 1.3471980095, output_fired_time: 0.0000000000, propagate_forward_time: 98.1715087891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2198257446
validation[          , genome  6358] predictions:    5490/  10000 (54.90%), best:    5490/10000 (54.90%), error:     14433.99512, best error:     14433.99512 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1297.6528320313s, input_fired_time: 10.7291126251, output_fired_time: 10.0997838974, propagate_forward_time: 488.6940917969, propagate_backward_time: 775.5574340820, weight_update_time: 1.1612583399, other_time: 12.5724487305
epoch time: 101.1045455933s, input_fired_time: 1.3314440250, output_fired_time: 0.0000000000, propagate_forward_time: 97.5560150146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2170867920
validation[          , genome  6358] predictions:    5173/  10000 (51.73%), best:    5490/10000 (54.90%), error:     16033.03418, best error:     14433.99512 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1298.9412841797s, input_fired_time: 10.7201881409, output_fired_time: 10.1140394211, propagate_forward_time: 488.8986816406, propagate_backward_time: 776.5788574219, weight_update_time: 1.1635560989, other_time: 12.6295166016
epoch time: 101.0354156494s, input_fired_time: 1.3246687651, output_fired_time: 0.0000000000, propagate_forward_time: 97.4897689819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2209777832
validation[          , genome  6358] predictions:    5026/  10000 (50.26%), best:    5490/10000 (54.90%), error:     16512.89453, best error:     14433.99512 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1297.6043701172s, input_fired_time: 10.7609806061, output_fired_time: 10.1120967865, propagate_forward_time: 488.4923706055, propagate_backward_time: 775.6467895508, weight_update_time: 1.1648714542, other_time: 12.5921630859
epoch time: 101.5854415894s, input_fired_time: 1.3463667631, output_fired_time: 0.0000000000, propagate_forward_time: 98.0258636475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2132110596
validation[          , genome  6358] predictions:    5374/  10000 (53.74%), best:    5490/10000 (54.90%), error:     14968.63574, best error:     14433.99512 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1296.8721923828s, input_fired_time: 10.7716121674, output_fired_time: 10.1033592224, propagate_forward_time: 487.9822082520, propagate_backward_time: 775.4201660156, weight_update_time: 1.1600682735, other_time: 12.5948486328
epoch time: 101.1490020752s, input_fired_time: 1.3283262253, output_fired_time: 0.0000000000, propagate_forward_time: 97.6020355225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2186431885
validation[          , genome  6358] predictions:    5419/  10000 (54.19%), best:    5490/10000 (54.90%), error:     15257.72754, best error:     14433.99512 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1298.6260986328s, input_fired_time: 10.7437648773, output_fired_time: 10.1392021179, propagate_forward_time: 488.6824951172, propagate_backward_time: 776.4179077148, weight_update_time: 1.1562383175, other_time: 12.6427612305
epoch time: 101.2283401489s, input_fired_time: 1.3294558525, output_fired_time: 0.0000000000, propagate_forward_time: 97.6947174072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2041702271
validation[          , genome  6358] predictions:    5313/  10000 (53.13%), best:    5490/10000 (54.90%), error:     14798.75488, best error:     14433.99512 on epoch:     3, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1299.5972900391s, input_fired_time: 10.7906932831, output_fired_time: 10.1229572296, propagate_forward_time: 488.8515625000, propagate_backward_time: 777.2720336914, weight_update_time: 1.1627980471, other_time: 12.5601196289
epoch time: 100.8949050903s, input_fired_time: 1.3376864195, output_fired_time: 0.0000000000, propagate_forward_time: 97.3536987305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2035217285
validation[          , genome  6358] predictions:    5643/  10000 (56.43%), best:    5643/10000 (56.43%), error:     13694.81250, best error:     13694.81250 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1291.7233886719s, input_fired_time: 10.7128753662, output_fired_time: 10.0399646759, propagate_forward_time: 485.7539062500, propagate_backward_time: 772.7176513672, weight_update_time: 1.1528676748, other_time: 12.4990234375
epoch time: 100.5837249756s, input_fired_time: 1.3414484262, output_fired_time: 0.0000000000, propagate_forward_time: 97.0258941650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2163848877
validation[          , genome  6358] predictions:    5708/  10000 (57.08%), best:    5708/10000 (57.08%), error:     13463.93555, best error:     13463.93555 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1294.2396240234s, input_fired_time: 10.7652177811, output_fired_time: 10.0788345337, propagate_forward_time: 486.8065490723, propagate_backward_time: 774.0290527344, weight_update_time: 1.1537758112, other_time: 12.5599365234
epoch time: 100.4552612305s, input_fired_time: 1.3325797319, output_fired_time: 0.0000000000, propagate_forward_time: 96.9274826050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1951980591
validation[          , genome  6358] predictions:    5566/  10000 (55.66%), best:    5708/10000 (57.08%), error:     14101.70996, best error:     13463.93555 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1293.2686767578s, input_fired_time: 10.7575464249, output_fired_time: 10.0609540939, propagate_forward_time: 486.5620422363, propagate_backward_time: 773.3244018555, weight_update_time: 1.1497142315, other_time: 12.5637817383
epoch time: 100.7525787354s, input_fired_time: 1.3459043503, output_fired_time: 0.0000000000, propagate_forward_time: 97.1910247803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2156524658
validation[          , genome  6358] predictions:    5674/  10000 (56.74%), best:    5708/10000 (57.08%), error:     13665.54004, best error:     13463.93555 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1291.9343261719s, input_fired_time: 10.7415065765, output_fired_time: 10.0563650131, propagate_forward_time: 486.1767883301, propagate_backward_time: 772.4177246094, weight_update_time: 1.1598999500, other_time: 12.5419921875
epoch time: 100.4266052246s, input_fired_time: 1.3271845579, output_fired_time: 0.0000000000, propagate_forward_time: 96.9001998901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1992187500
validation[          , genome  6358] predictions:    5608/  10000 (56.08%), best:    5708/10000 (57.08%), error:     14342.59180, best error:     13463.93555 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1294.0004882813s, input_fired_time: 10.7742071152, output_fired_time: 10.0968675613, propagate_forward_time: 487.0126953125, propagate_backward_time: 773.5467529297, weight_update_time: 1.1572616100, other_time: 12.5699462891
epoch time: 100.5088882446s, input_fired_time: 1.3300538063, output_fired_time: 0.0000000000, propagate_forward_time: 96.9750976563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2037353516
validation[          , genome  6358] predictions:    5616/  10000 (56.16%), best:    5708/10000 (57.08%), error:     14180.53613, best error:     13463.93555 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1291.2435302734s, input_fired_time: 10.7617712021, output_fired_time: 10.0556106567, propagate_forward_time: 485.9195251465, propagate_backward_time: 771.9973754883, weight_update_time: 1.1565626860, other_time: 12.5092163086
epoch time: 100.6494369507s, input_fired_time: 1.3545262814, output_fired_time: 0.0000000000, propagate_forward_time: 97.0830078125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2119064331
validation[          , genome  6358] predictions:    5505/  10000 (55.05%), best:    5708/10000 (57.08%), error:     14610.84863, best error:     13463.93555 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1291.5426025391s, input_fired_time: 10.7664699554, output_fired_time: 10.0694818497, propagate_forward_time: 486.0905456543, propagate_backward_time: 772.0781860352, weight_update_time: 1.1500875950, other_time: 12.5379028320
epoch time: 100.9064941406s, input_fired_time: 1.3496772051, output_fired_time: 0.0000000000, propagate_forward_time: 97.3577117920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1991043091
validation[          , genome  6358] predictions:    5651/  10000 (56.51%), best:    5708/10000 (57.08%), error:     13721.50781, best error:     13463.93555 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1295.2540283203s, input_fired_time: 10.7736120224, output_fired_time: 10.0787792206, propagate_forward_time: 487.2806091309, propagate_backward_time: 774.5249023438, weight_update_time: 1.1620972157, other_time: 12.5961914063
epoch time: 100.8400878906s, input_fired_time: 1.3367987871, output_fired_time: 0.0000000000, propagate_forward_time: 97.2995147705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2037734985
validation[          , genome  6358] predictions:    5768/  10000 (57.68%), best:    5768/10000 (57.68%), error:     13003.45215, best error:     13003.45215 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1292.2906494141s, input_fired_time: 10.7287015915, output_fired_time: 10.0990285873, propagate_forward_time: 485.7919006348, propagate_backward_time: 773.1640014648, weight_update_time: 1.1553854942, other_time: 12.5070190430
epoch time: 100.8070678711s, input_fired_time: 1.3487172127, output_fired_time: 0.0000000000, propagate_forward_time: 97.2580413818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2003097534
validation[          , genome  6358] predictions:    5735/  10000 (57.35%), best:    5768/10000 (57.68%), error:     13568.21191, best error:     13003.45215 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1292.7468261719s, input_fired_time: 10.7728843689, output_fired_time: 10.0742416382, propagate_forward_time: 486.5489807129, propagate_backward_time: 772.7817382813, weight_update_time: 1.1541274786, other_time: 12.5690917969
epoch time: 100.8440704346s, input_fired_time: 1.3418905735, output_fired_time: 0.0000000000, propagate_forward_time: 97.2791824341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2229995728
validation[          , genome  6358] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     12317.24219, best error:     12317.24219 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1291.6447753906s, input_fired_time: 10.7777862549, output_fired_time: 10.0675888062, propagate_forward_time: 485.8812255859, propagate_backward_time: 772.3434448242, weight_update_time: 1.1540300846, other_time: 12.5746459961
epoch time: 100.3885498047s, input_fired_time: 1.3468313217, output_fired_time: 0.0000000000, propagate_forward_time: 96.8178634644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2238540649
validation[          , genome  6358] predictions:    5581/  10000 (55.81%), best:    5975/10000 (59.75%), error:     14241.26563, best error:     12317.24219 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1291.1064453125s, input_fired_time: 10.7664213181, output_fired_time: 10.0776538849, propagate_forward_time: 485.8958435059, propagate_backward_time: 771.8132934570, weight_update_time: 1.1553248167, other_time: 12.5531616211
epoch time: 100.8271102905s, input_fired_time: 1.3593634367, output_fired_time: 0.0000000000, propagate_forward_time: 97.2508087158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2169418335
validation[          , genome  6358] predictions:    5583/  10000 (55.83%), best:    5975/10000 (59.75%), error:     14506.94629, best error:     12317.24219 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1292.0058593750s, input_fired_time: 10.8004684448, output_fired_time: 10.0792922974, propagate_forward_time: 486.0493164063, propagate_backward_time: 772.5239257813, weight_update_time: 1.1551451683, other_time: 12.5528564453
epoch time: 100.6970520020s, input_fired_time: 1.3525460958, output_fired_time: 0.0000000000, propagate_forward_time: 97.1207733154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2237319946
validation[          , genome  6358] predictions:    5984/  10000 (59.84%), best:    5975/10000 (59.75%), error:     12394.40820, best error:     12317.24219 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1397.1101074219s, input_fired_time: 11.8562936783, output_fired_time: 11.1568021774, propagate_forward_time: 529.9442749023, propagate_backward_time: 830.5446166992, weight_update_time: 1.2197808027, other_time: 13.6080322266
epoch time: 100.6793441772s, input_fired_time: 1.3370118141, output_fired_time: 0.0000000000, propagate_forward_time: 97.1287841797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2135467529
validation[          , genome  6358] predictions:    5432/  10000 (54.32%), best:    5975/10000 (59.75%), error:     14756.85840, best error:     12317.24219 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1290.8338623047s, input_fired_time: 10.7982654572, output_fired_time: 10.0561590195, propagate_forward_time: 485.9407348633, propagate_backward_time: 771.5247192383, weight_update_time: 1.1581591368, other_time: 12.5140380859
epoch time: 100.9606628418s, input_fired_time: 1.3488219976, output_fired_time: 0.0000000000, propagate_forward_time: 97.3998413086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2119979858
validation[          , genome  6358] predictions:    5943/  10000 (59.43%), best:    5975/10000 (59.75%), error:     12390.34082, best error:     12317.24219 on epoch:    19, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1295.0246582031s, input_fired_time: 10.8407201767, output_fired_time: 10.0897207260, propagate_forward_time: 487.1650390625, propagate_backward_time: 774.4118041992, weight_update_time: 1.1521270275, other_time: 12.5173950195
epoch time: 100.8014678955s, input_fired_time: 1.3639154434, output_fired_time: 0.0000000000, propagate_forward_time: 97.2225036621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2150497437
validation[          , genome  6358] predictions:    5783/  10000 (57.83%), best:    5975/10000 (59.75%), error:     13161.92676, best error:     12317.24219 on epoch:    19, 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: 505.4367065430s, input_fired_time: 6.7519965172, output_fired_time: 0.0000000000, propagate_forward_time: 487.5401000977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1446228027
best training[          , genome  6358] predictions:   33115/  50000 (66.23%), best:    5975/10000 (59.75%), error:     49665.21094, best error:     12317.24219 on epoch:    19, 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: 100.8325576782s, input_fired_time: 1.3396195173, output_fired_time: 0.0000000000, propagate_forward_time: 97.2524337769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2405014038
   testing[          , genome  6358] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     12317.24219, best error:     12317.24219 on epoch:    19, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
13:18:08 (11188): called boinc_finish(0)

</stderr_txt>
]]>