Nameexact_genome_1542649503_172_6323_1
Workunit4099011
Created19 Nov 2018, 23:45:21 UTC
Sent19 Nov 2018, 23:45:29 UTC
Report deadline17 Dec 2018, 6:26:08 UTC
Received20 Nov 2018, 9:45:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60660
Run time8 hours 36 min 39 sec
CPU time8 hours 23 min 6 sec
Validate stateValid
Credit6,819.56
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size579.71 MB
Peak swap size599.57 MB
Peak disk usage12.66 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_1_r1301099514_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.47662
read mu: 0.47662
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.00218178
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 0.000253118
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '400161513'
read generator: 400161513
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 1743250234
post shuffle 1: 1251488564
epoch time: 1073.611328125s, input_fired_time: 24.6393070220947, output_fired_time: 8.83886623382568, propagate_forward_time: 391.305694580078, propagate_backward_time: 634.578674316406, weight_update_time: 0.326231092214584, other_time: 14.2488403320313
epoch time: 82.128173828125s, input_fired_time: 1.50377666950226, output_fired_time: 0, propagate_forward_time: 78.1753082275391, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.44908905029297
validation[          , genome  6323] predictions:    5708/  10000 (57.08%), best:    5708/10000 (57.08%), error:     12320.37207, best error:     12320.37207 on epoch:     0, epoch:    0/25, mu: 0.4766199589, learning_rate: 0.0021817833, weight_decay: 0.0002531183

epoch time: 1070.6303710938s, input_fired_time: 24.6490020752, output_fired_time: 8.6598711014, propagate_forward_time: 390.0662536621, propagate_backward_time: 633.4610595703, weight_update_time: 0.3407158554, other_time: 13.7940673828
epoch time: 81.7826156616s, input_fired_time: 1.4791446924, output_fired_time: 0.0000000000, propagate_forward_time: 77.9350509644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3684234619
validation[          , genome  6323] predictions:    5986/  10000 (59.86%), best:    5986/10000 (59.86%), error:     11537.42578, best error:     11537.42578 on epoch:     1, epoch:    1/25, mu: 0.5070560575, learning_rate: 0.0020090081, weight_decay: 0.0002386777

epoch time: 1067.6257324219s, input_fired_time: 24.6495952606, output_fired_time: 8.6955623627, propagate_forward_time: 388.8656616211, propagate_backward_time: 631.3795776367, weight_update_time: 0.3236145377, other_time: 14.0354003906
epoch time: 81.9338989258s, input_fired_time: 1.5098068714, output_fired_time: 0.0000000000, propagate_forward_time: 78.0601348877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3639602661
validation[          , genome  6323] predictions:    6035/  10000 (60.35%), best:    6035/10000 (60.35%), error:     11323.75488, best error:     11323.75488 on epoch:     2, epoch:    2/25, mu: 0.5356877446, learning_rate: 0.0018499149, weight_decay: 0.0002250609

epoch time: 1263.8747558594s, input_fired_time: 24.9128284454, output_fired_time: 8.7724637985, propagate_forward_time: 389.8867492676, propagate_backward_time: 826.2214965820, weight_update_time: 0.3246785700, other_time: 14.0812377930
epoch time: 83.2079315186s, input_fired_time: 1.5397377014, output_fired_time: 0.0000000000, propagate_forward_time: 79.2179489136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4502487183
validation[          , genome  6323] predictions:    6196/  10000 (61.96%), best:    6196/10000 (61.96%), error:     11021.34082, best error:     11021.34082 on epoch:     3, epoch:    3/25, mu: 0.5626220107, learning_rate: 0.0017034203, weight_decay: 0.0002122211

epoch time: 1074.3771972656s, input_fired_time: 24.9520187378, output_fired_time: 8.8419818878, propagate_forward_time: 390.8198852539, propagate_backward_time: 635.5460205078, weight_update_time: 0.3236521184, other_time: 14.2172241211
epoch time: 82.6252899170s, input_fired_time: 1.5195186138, output_fired_time: 0.0000000000, propagate_forward_time: 78.6331787109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4725952148
validation[          , genome  6323] predictions:    6040/  10000 (60.40%), best:    6196/10000 (61.96%), error:     11349.66504, best error:     11021.34082 on epoch:     3, epoch:    4/25, mu: 0.5879594684, learning_rate: 0.0015685266, weight_decay: 0.0002001137

epoch time: 1154.8507080078s, input_fired_time: 26.7747592926, output_fired_time: 9.6926879883, propagate_forward_time: 419.9540710449, propagate_backward_time: 683.4095458984, weight_update_time: 0.3662672341, other_time: 15.0196533203
epoch time: 83.1951599121s, input_fired_time: 1.5556424856, output_fired_time: 0.0000000000, propagate_forward_time: 79.1282501221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5112686157
validation[          , genome  6323] predictions:    6188/  10000 (61.88%), best:    6188/10000 (61.88%), error:     10949.65527, best error:     10949.65527 on epoch:     5, epoch:    5/25, mu: 0.6117947698, learning_rate: 0.0014443152, weight_decay: 0.0001886971

epoch time: 1074.4664306641s, input_fired_time: 25.0367298126, output_fired_time: 8.8296298981, propagate_forward_time: 391.1268615723, propagate_backward_time: 635.2728271484, weight_update_time: 0.3249489069, other_time: 14.2004394531
epoch time: 82.4662475586s, input_fired_time: 1.5418765545, output_fired_time: 0.0000000000, propagate_forward_time: 78.4864654541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4379043579
validation[          , genome  6323] predictions:    6273/  10000 (62.73%), best:    6273/10000 (62.73%), error:     10709.16504, best error:     10709.16504 on epoch:     6, epoch:    6/25, mu: 0.6342169642, learning_rate: 0.0013299400, weight_decay: 0.0001779318

epoch time: 1075.9758300781s, input_fired_time: 25.0833625793, output_fired_time: 8.8244142532, propagate_forward_time: 391.8363342285, propagate_backward_time: 635.9698486328, weight_update_time: 0.3240526021, other_time: 14.2618408203
epoch time: 82.7456436157s, input_fired_time: 1.5384497643, output_fired_time: 0.0000000000, propagate_forward_time: 78.7380065918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4691848755
validation[          , genome  6323] predictions:    6188/  10000 (61.88%), best:    6273/10000 (62.73%), error:     10798.51172, best error:     10709.16504 on epoch:     6, epoch:    7/25, mu: 0.6553098559, learning_rate: 0.0012246222, weight_decay: 0.0001677806

epoch time: 1069.4407958984s, input_fired_time: 24.7302207947, output_fired_time: 8.6804313660, propagate_forward_time: 389.2672729492, propagate_backward_time: 632.7203979492, weight_update_time: 0.3249553740, other_time: 14.0424804688
epoch time: 82.1669235229s, input_fired_time: 1.5301911831, output_fired_time: 0.0000000000, propagate_forward_time: 78.2539367676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3827972412
validation[          , genome  6323] predictions:    6215/  10000 (62.15%), best:    6273/10000 (62.73%), error:     10909.05078, best error:     10709.16504 on epoch:     6, epoch:    8/25, mu: 0.6751522422, learning_rate: 0.0011276446, weight_decay: 0.0001582086

epoch time: 1074.7515869141s, input_fired_time: 24.9932956696, output_fired_time: 8.8385686874, propagate_forward_time: 391.0810852051, propagate_backward_time: 635.6285400391, weight_update_time: 0.3254833817, other_time: 14.2100830078
epoch time: 82.6295318604s, input_fired_time: 1.5605901480, output_fired_time: 0.0000000000, propagate_forward_time: 78.6113815308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4575576782
validation[          , genome  6323] predictions:    6181/  10000 (61.81%), best:    6273/10000 (62.73%), error:     10919.42676, best error:     10709.16504 on epoch:     6, epoch:    9/25, mu: 0.6938182116, learning_rate: 0.0010383466, weight_decay: 0.0001491827

epoch time: 1072.1206054688s, input_fired_time: 25.0112781525, output_fired_time: 8.7527761459, propagate_forward_time: 390.2990112305, propagate_backward_time: 633.8903808594, weight_update_time: 0.3473736644, other_time: 14.1671752930
epoch time: 82.3830337524s, input_fired_time: 1.5280539989, output_fired_time: 0.0000000000, propagate_forward_time: 78.4729080200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3820724487
validation[          , genome  6323] predictions:    6345/  10000 (63.45%), best:    6345/10000 (63.45%), error:     10457.12695, best error:     10457.12695 on epoch:    10, epoch:   10/25, mu: 0.7113775611, learning_rate: 0.0009561200, weight_decay: 0.0001406717

epoch time: 3095.8454589844s, input_fired_time: 24.8545742035, output_fired_time: 8.7178287506, propagate_forward_time: 2416.6267089844, propagate_backward_time: 631.7318725586, weight_update_time: 0.3201734722, other_time: 13.9146118164
epoch time: 82.8272018433s, input_fired_time: 1.5570948124, output_fired_time: 0.0000000000, propagate_forward_time: 78.8153839111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4547195435
validation[          , genome  6323] predictions:    6325/  10000 (63.25%), best:    6345/10000 (63.45%), error:     10581.57910, best error:     10457.12695 on epoch:    10, epoch:   11/25, mu: 0.7278959155, learning_rate: 0.0008804050, weight_decay: 0.0001326463

epoch time: 1074.1114501953s, input_fired_time: 24.9950466156, output_fired_time: 8.7903547287, propagate_forward_time: 390.8931579590, propagate_backward_time: 635.3338623047, weight_update_time: 0.3260529935, other_time: 14.0989990234
epoch time: 82.2961654663s, input_fired_time: 1.5473406315, output_fired_time: 0.0000000000, propagate_forward_time: 78.3539123535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3949127197
validation[          , genome  6323] predictions:    6381/  10000 (63.81%), best:    6381/10000 (63.81%), error:     10456.52246, best error:     10456.52246 on epoch:    12, epoch:   12/25, mu: 0.7434349656, learning_rate: 0.0008106858, weight_decay: 0.0001250787

epoch time: 1073.0518798828s, input_fired_time: 25.0326499939, output_fired_time: 8.8280429840, propagate_forward_time: 390.3533630371, propagate_backward_time: 634.8154907227, weight_update_time: 0.3256535232, other_time: 14.0223999023
epoch time: 82.0251617432s, input_fired_time: 1.5543665886, output_fired_time: 0.0000000000, propagate_forward_time: 78.1190261841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3517684937
validation[          , genome  6323] predictions:    6376/  10000 (63.76%), best:    6381/10000 (63.81%), error:     10481.26465, best error:     10456.52246 on epoch:    12, epoch:   13/25, mu: 0.7580527663, learning_rate: 0.0007464877, weight_decay: 0.0001179429

epoch time: 1069.8085937500s, input_fired_time: 24.9244747162, output_fired_time: 8.7088298798, propagate_forward_time: 389.4429931641, propagate_backward_time: 632.8063354492, weight_update_time: 0.3210045099, other_time: 13.9259643555
epoch time: 82.5395584106s, input_fired_time: 1.5633450747, output_fired_time: 0.0000000000, propagate_forward_time: 78.5513687134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4248428345
validation[          , genome  6323] predictions:    6447/  10000 (64.47%), best:    6447/10000 (64.47%), error:     10212.56348, best error:     10212.56348 on epoch:    14, epoch:   14/25, mu: 0.7718039155, learning_rate: 0.0006873734, weight_decay: 0.0001112142

epoch time: 1073.4656982422s, input_fired_time: 25.0438175201, output_fired_time: 8.8083190918, propagate_forward_time: 390.8461608887, propagate_backward_time: 634.7780151367, weight_update_time: 0.3257340491, other_time: 13.9893188477
epoch time: 84.2599868774s, input_fired_time: 1.5852571726, output_fired_time: 0.0000000000, propagate_forward_time: 80.2816543579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3930740356
validation[          , genome  6323] predictions:    6388/  10000 (63.88%), best:    6447/10000 (64.47%), error:     10384.60449, best error:     10212.56348 on epoch:    14, epoch:   15/25, mu: 0.7847398520, learning_rate: 0.0006329404, weight_decay: 0.0001048693

epoch time: 1079.8704833984s, input_fired_time: 25.3301162720, output_fired_time: 8.8481063843, propagate_forward_time: 392.7330017090, propagate_backward_time: 638.8321533203, weight_update_time: 0.3241609931, other_time: 14.1270751953
epoch time: 83.2007980347s, input_fired_time: 1.5721172094, output_fired_time: 0.0000000000, propagate_forward_time: 79.2196121216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4090652466
validation[          , genome  6323] predictions:    6438/  10000 (64.38%), best:    6447/10000 (64.47%), error:     10293.95703, best error:     10212.56348 on epoch:    14, epoch:   16/25, mu: 0.7969088554, learning_rate: 0.0005828179, weight_decay: 0.0000988865

epoch time: 1223.4870605469s, input_fired_time: 25.0641288757, output_fired_time: 8.8091831207, propagate_forward_time: 391.1683959961, propagate_backward_time: 784.3389892578, weight_update_time: 0.3224360645, other_time: 14.1063842773
epoch time: 83.1113662720s, input_fired_time: 1.5584954023, output_fired_time: 0.0000000000, propagate_forward_time: 79.1483154297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4045562744
validation[          , genome  6323] predictions:    6364/  10000 (63.64%), best:    6447/10000 (64.47%), error:     10495.44824, best error:     10212.56348 on epoch:    14, epoch:   17/25, mu: 0.8083564043, learning_rate: 0.0005366646, weight_decay: 0.0000932449

epoch time: 1906.8082275391s, input_fired_time: 25.3155937195, output_fired_time: 8.9853105545, propagate_forward_time: 1218.1721191406, propagate_backward_time: 639.9895629883, weight_update_time: 0.3293778896, other_time: 14.3456420898
epoch time: 83.6100463867s, input_fired_time: 1.6254746914, output_fired_time: 0.0000000000, propagate_forward_time: 79.5644226074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4201507568
validation[          , genome  6323] predictions:    6334/  10000 (63.34%), best:    6447/10000 (64.47%), error:     10585.60156, best error:     10212.56348 on epoch:    14, epoch:   18/25, mu: 0.8191252947, learning_rate: 0.0004941662, weight_decay: 0.0000879252

epoch time: 1081.4011230469s, input_fired_time: 25.4105148315, output_fired_time: 8.9339923859, propagate_forward_time: 393.2238159180, propagate_backward_time: 639.3345947266, weight_update_time: 0.3286871314, other_time: 14.4982299805
epoch time: 83.6495971680s, input_fired_time: 1.6113100052, output_fired_time: 0.0000000000, propagate_forward_time: 79.5428771973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4954071045
validation[          , genome  6323] predictions:    6510/  10000 (65.10%), best:    6510/10000 (65.10%), error:     10045.63672, best error:     10045.63672 on epoch:    19, epoch:   19/25, mu: 0.8292557597, learning_rate: 0.0004550332, weight_decay: 0.0000829090

epoch time: 1191.4868164063s, input_fired_time: 28.0200691223, output_fired_time: 10.0294218063, propagate_forward_time: 432.9669189453, propagate_backward_time: 704.8308105469, weight_update_time: 0.3418304622, other_time: 15.6396484375
epoch time: 103.1371383667s, input_fired_time: 2.2059900761, output_fired_time: 0.0000000000, propagate_forward_time: 97.8296203613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1015243530
validation[          , genome  6323] predictions:    6478/  10000 (64.78%), best:    6510/10000 (65.10%), error:     10198.63770, best error:     10045.63672 on epoch:    19, epoch:   20/25, mu: 0.8387855887, learning_rate: 0.0004189992, weight_decay: 0.0000781790

epoch time: 1233.4074707031s, input_fired_time: 29.1259136200, output_fired_time: 9.9566984177, propagate_forward_time: 449.1854553223, propagate_backward_time: 728.5346069336, weight_update_time: 0.4098569453, other_time: 16.6049194336
epoch time: 83.5319137573s, input_fired_time: 1.6012310982, output_fired_time: 0.0000000000, propagate_forward_time: 79.5081024170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4225769043
validation[          , genome  6323] predictions:    6475/  10000 (64.75%), best:    6510/10000 (65.10%), error:     10093.98047, best error:     10045.63672 on epoch:    19, epoch:   21/25, mu: 0.8477504253, learning_rate: 0.0003858187, weight_decay: 0.0000737189

epoch time: 1081.9796142578s, input_fired_time: 25.3279094696, output_fired_time: 8.9048862457, propagate_forward_time: 393.6352539063, propagate_backward_time: 639.6269531250, weight_update_time: 0.3346811235, other_time: 14.4846191406
epoch time: 83.3490219116s, input_fired_time: 1.6174819469, output_fired_time: 0.0000000000, propagate_forward_time: 79.2362747192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4952621460
validation[          , genome  6323] predictions:    6490/  10000 (64.90%), best:    6510/10000 (65.10%), error:     10085.53320, best error:     10045.63672 on epoch:    19, epoch:   22/25, mu: 0.8561838269, learning_rate: 0.0003552658, weight_decay: 0.0000695131

epoch time: 1080.1263427734s, input_fired_time: 25.3200836182, output_fired_time: 8.8493680954, propagate_forward_time: 392.9590759277, propagate_backward_time: 638.7029418945, weight_update_time: 0.3269239664, other_time: 14.2948608398
epoch time: 82.2561721802s, input_fired_time: 1.5822155476, output_fired_time: 0.0000000000, propagate_forward_time: 78.1617889404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5121688843
validation[          , genome  6323] predictions:    6480/  10000 (64.80%), best:    6510/10000 (65.10%), error:     10103.40332, best error:     10045.63672 on epoch:    19, epoch:   23/25, mu: 0.8641172051, learning_rate: 0.0003271323, weight_decay: 0.0000655474

epoch time: 1708.2634277344s, input_fired_time: 25.1513671875, output_fired_time: 8.7969503403, propagate_forward_time: 1024.6553955078, propagate_backward_time: 635.3306274414, weight_update_time: 0.3276197612, other_time: 14.3290405273
epoch time: 93.6446533203s, input_fired_time: 1.8425097466, output_fired_time: 0.0000000000, propagate_forward_time: 88.9246292114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8775177002
validation[          , genome  6323] predictions:    6535/  10000 (65.35%), best:    6535/10000 (65.35%), error:     10020.27637, best error:     10020.27637 on epoch:    24, epoch:   24/25, mu: 0.8715802431, learning_rate: 0.0003012267, weight_decay: 0.0000618078

epoch time: 1085.3206787109s, input_fired_time: 25.5667114258, output_fired_time: 8.9136018753, propagate_forward_time: 395.5673217773, propagate_backward_time: 640.9383544922, weight_update_time: 0.3264922500, other_time: 14.3346557617
epoch time: 82.7296829224s, input_fired_time: 1.6008368731, output_fired_time: 0.0000000000, propagate_forward_time: 78.5464782715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5823669434
validation[          , genome  6323] predictions:    6549/  10000 (65.49%), best:    6535/10000 (65.35%), error:     10083.87695, best error:     10020.27637 on epoch:    24, epoch:   25/25, mu: 0.8786008358, learning_rate: 0.0002773726, weight_decay: 0.0000582817

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 413.3752136230s, input_fired_time: 8.0599889755, output_fired_time: 0.0000000000, propagate_forward_time: 392.9089050293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.4063110352
best training[          , genome  6323] predictions:   36454/  50000 (72.91%), best:    6535/10000 (65.35%), error:     40550.10156, best error:     10020.27637 on epoch:    24, epoch:   26/25, mu: 0.8852052093, learning_rate: 0.0002554075, weight_decay: 0.0000549567
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 83.1717300415s, input_fired_time: 1.6535751820, output_fired_time: 0.0000000000, propagate_forward_time: 79.0720901489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4460678101
   testing[          , genome  6323] predictions:    6535/  10000 (65.35%), best:    6535/10000 (65.35%), error:     10020.27637, best error:     10020.27637 on epoch:    24, epoch:   26/25, mu: 0.8852052093, learning_rate: 0.0002554075, weight_decay: 0.0000549567
backpropagation finished successfully!
04:29:14 (10512): called boinc_finish(0)

</stderr_txt>
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