Nameexact_genome_1542692703_173_6395_0
Workunit4100763
Created20 Nov 2018, 9:51:34 UTC
Sent20 Nov 2018, 10:22:19 UTC
Report deadline28 Dec 2018, 2:57:35 UTC
Received22 Nov 2018, 22:51:22 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88437
Run time11 hours 31 min 26 sec
CPU time11 hours 22 min 56 sec
Validate stateValid
Credit9,422.79
Device peak FLOPS4.09 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size602.12 MB
Peak swap size623.68 MB
Peak disk usage14.26 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_1542692703_173_6395.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_173_6395_0_r632049207_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_173_6395.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.555456
read mu: 0.555456
read mu_delta: 0.974225
read initial_learning_rate: 0.00234618
read learning_rate: 0.00234618
read learning_rate_delta: 0.913457
read initial_weight_decay: 0.000293003
read weight_decay: 0.000293003
read weight_decay_delta: 0.9127
read batch_size: 122
read epsilon: 1e-07
read alpha: 0.129697
read input_dropout_probability: 0.00173603
read hidden_dropout_probability: 0.0597928
read velocity_reset: 1822
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: 6395
read normal distribution: '1 0 0'
generator_str: '1737070213'
read generator: 1737070213
read generated_by_map:
1 enable_node 1
reading 110 nodes.
reading 471 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: 2046372573
post shuffle 1: 552983744
epoch time: 1456.9326171875s, input_fired_time: 23.750373840332, output_fired_time: 8.54698085784912, propagate_forward_time: 523.266174316406, propagate_backward_time: 885.744750976563, weight_update_time: 0.308849304914474, other_time: 15.6243286132813
epoch time: 113.777481079102s, input_fired_time: 1.4395295381546, output_fired_time: 0, propagate_forward_time: 109.585868835449, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.75208282470703
validation[          , genome  6395] predictions:    5331/  10000 (53.31%), best:    5331/10000 (53.31%), error:     13423.18359, best error:     13423.18359 on epoch:     0, epoch:    0/25, mu: 0.5554555655, learning_rate: 0.0023461827, weight_decay: 0.0002930028

epoch time: 1450.8846435547s, input_fired_time: 23.8898983002, output_fired_time: 8.5592346191, propagate_forward_time: 521.0988769531, propagate_backward_time: 881.8566284180, weight_update_time: 0.3121154308, other_time: 15.4800415039
epoch time: 108.9413528442s, input_fired_time: 1.3911434412, output_fired_time: 0.0000000000, propagate_forward_time: 104.8918075562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6584014893
validation[          , genome  6395] predictions:    5779/  10000 (57.79%), best:    5779/10000 (57.79%), error:     12310.02734, best error:     12310.02734 on epoch:     1, epoch:    1/25, mu: 0.5666558743, learning_rate: 0.0021431379, weight_decay: 0.0002674235

epoch time: 1456.6975097656s, input_fired_time: 24.1925754547, output_fired_time: 8.6074085236, propagate_forward_time: 522.7675781250, propagate_backward_time: 884.8811035156, weight_update_time: 0.3224867880, other_time: 16.2487792969
epoch time: 108.9161529541s, input_fired_time: 1.4378418922, output_fired_time: 0.0000000000, propagate_forward_time: 104.7720413208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7062683105
validation[          , genome  6395] predictions:    5984/  10000 (59.84%), best:    5984/10000 (59.84%), error:     11662.25195, best error:     11662.25195 on epoch:     2, epoch:    2/25, mu: 0.5775675178, learning_rate: 0.0019576650, weight_decay: 0.0002440773

epoch time: 1459.2192382813s, input_fired_time: 24.2722187042, output_fired_time: 8.5763130188, propagate_forward_time: 525.0221557617, propagate_backward_time: 885.6884765625, weight_update_time: 0.3098364472, other_time: 15.6600952148
epoch time: 108.8488693237s, input_fired_time: 1.4340050220, output_fired_time: 0.0000000000, propagate_forward_time: 104.8450012207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5698623657
validation[          , genome  6395] predictions:    5248/  10000 (52.48%), best:    5984/10000 (59.84%), error:     15348.77246, best error:     11662.25195 on epoch:     2, epoch:    3/25, mu: 0.5881979465, learning_rate: 0.0017882434, weight_decay: 0.0002227693

epoch time: 1461.1472167969s, input_fired_time: 24.3473224640, output_fired_time: 8.5733709335, propagate_forward_time: 527.9588012695, propagate_backward_time: 884.6623535156, weight_update_time: 0.3121688664, other_time: 15.6054077148
epoch time: 108.2279357910s, input_fired_time: 1.4425169230, output_fired_time: 0.0000000000, propagate_forward_time: 104.1352996826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6501159668
validation[          , genome  6395] predictions:    5916/  10000 (59.16%), best:    5916/10000 (59.16%), error:     11609.14941, best error:     11609.14941 on epoch:     4, epoch:    4/25, mu: 0.5985543728, learning_rate: 0.0016334840, weight_decay: 0.0002033214

epoch time: 1458.5942382813s, input_fired_time: 24.3773727417, output_fired_time: 8.6164131165, propagate_forward_time: 523.9171752930, propagate_backward_time: 885.9498291016, weight_update_time: 0.3203310966, other_time: 15.7334594727
epoch time: 108.5248870850s, input_fired_time: 1.4658104181, output_fired_time: 0.0000000000, propagate_forward_time: 104.4285736084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6305007935
validation[          , genome  6395] predictions:    5985/  10000 (59.85%), best:    5985/10000 (59.85%), error:     11426.12988, best error:     11426.12988 on epoch:     5, epoch:    5/25, mu: 0.6086438298, learning_rate: 0.0014921180, weight_decay: 0.0001855713

epoch time: 1459.2961425781s, input_fired_time: 24.4608860016, output_fired_time: 8.5983858109, propagate_forward_time: 523.9191284180, propagate_backward_time: 886.4037475586, weight_update_time: 0.3168657720, other_time: 15.9139404297
epoch time: 109.1536102295s, input_fired_time: 1.4738941193, output_fired_time: 0.0000000000, propagate_forward_time: 105.1768341064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5028839111
validation[          , genome  6395] predictions:    6059/  10000 (60.59%), best:    6059/10000 (60.59%), error:     11177.19531, best error:     11177.19531 on epoch:     6, epoch:    6/25, mu: 0.6184732318, learning_rate: 0.0013629862, weight_decay: 0.0001693709

epoch time: 1464.1207275391s, input_fired_time: 24.5618171692, output_fired_time: 8.6527366638, propagate_forward_time: 528.3704833984, propagate_backward_time: 886.5717163086, weight_update_time: 0.3131142259, other_time: 15.9640502930
epoch time: 110.9342041016s, input_fired_time: 1.4921741486, output_fired_time: 0.0000000000, propagate_forward_time: 106.8047409058, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6372909546
validation[          , genome  6395] predictions:    6263/  10000 (62.63%), best:    6263/10000 (62.63%), error:     10811.16602, best error:     10811.16602 on epoch:     7, epoch:    7/25, mu: 0.6280493140, learning_rate: 0.0012450297, weight_decay: 0.0001545847

epoch time: 1465.4731445313s, input_fired_time: 24.5301704407, output_fired_time: 8.6056652069, propagate_forward_time: 524.1749877930, propagate_backward_time: 892.8078613281, weight_update_time: 0.3130759299, other_time: 15.3544311523
epoch time: 107.9772109985s, input_fired_time: 1.4541910887, output_fired_time: 0.0000000000, propagate_forward_time: 103.9438171387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5792007446
validation[          , genome  6395] predictions:    5925/  10000 (59.25%), best:    6263/10000 (62.63%), error:     11448.82520, best error:     10811.16602 on epoch:     7, epoch:    8/25, mu: 0.6373785734, learning_rate: 0.0011372815, weight_decay: 0.0001410894

epoch time: 1460.7561035156s, input_fired_time: 24.5988922119, output_fired_time: 8.6103525162, propagate_forward_time: 524.7902832031, propagate_backward_time: 886.9637451172, weight_update_time: 0.3183197379, other_time: 15.7928466797
epoch time: 109.0201950073s, input_fired_time: 1.5020072460, output_fired_time: 0.0000000000, propagate_forward_time: 104.7986602783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7195281982
validation[          , genome  6395] predictions:    6331/  10000 (63.31%), best:    6331/10000 (63.31%), error:     10617.67383, best error:     10617.67383 on epoch:     9, epoch:    9/25, mu: 0.6464673281, learning_rate: 0.0010388582, weight_decay: 0.0001287722

epoch time: 1466.8659667969s, input_fired_time: 24.7171173096, output_fired_time: 8.6094646454, propagate_forward_time: 528.8500976563, propagate_backward_time: 888.3912963867, weight_update_time: 0.3344389498, other_time: 16.2979125977
epoch time: 108.9934158325s, input_fired_time: 1.4982448816, output_fired_time: 0.0000000000, propagate_forward_time: 104.8280105591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6671600342
validation[          , genome  6395] predictions:    6358/  10000 (63.58%), best:    6358/10000 (63.58%), error:     10497.35645, best error:     10497.35645 on epoch:    10, epoch:   10/25, mu: 0.6553218365, learning_rate: 0.0009489526, weight_decay: 0.0001175303

epoch time: 1467.2285156250s, input_fired_time: 24.8012199402, output_fired_time: 8.6208114624, propagate_forward_time: 529.7595214844, propagate_backward_time: 888.1771240234, weight_update_time: 0.3145186603, other_time: 15.8697509766
epoch time: 109.0801391602s, input_fired_time: 1.4965317249, output_fired_time: 0.0000000000, propagate_forward_time: 104.8812026978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7024078369
validation[          , genome  6395] predictions:    6232/  10000 (62.32%), best:    6358/10000 (63.58%), error:     10808.28809, best error:     10497.35645 on epoch:    10, epoch:   11/25, mu: 0.6639481187, learning_rate: 0.0008668277, weight_decay: 0.0001072699

epoch time: 1463.4078369141s, input_fired_time: 24.6278419495, output_fired_time: 8.6262092590, propagate_forward_time: 527.9205322266, propagate_backward_time: 886.4763183594, weight_update_time: 0.3137956262, other_time: 15.7569580078
epoch time: 109.9677352905s, input_fired_time: 1.4982370138, output_fired_time: 0.0000000000, propagate_forward_time: 105.8578414917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6116561890
validation[          , genome  6395] predictions:    6324/  10000 (63.24%), best:    6358/10000 (63.58%), error:     10584.01270, best error:     10497.35645 on epoch:    10, epoch:   12/25, mu: 0.6723520756, learning_rate: 0.0007918102, weight_decay: 0.0000979052

epoch time: 1463.4554443359s, input_fired_time: 24.7688274384, output_fired_time: 8.6259393692, propagate_forward_time: 526.1470336914, propagate_backward_time: 888.0610351563, weight_update_time: 0.3157801628, other_time: 15.8526000977
epoch time: 109.9300384521s, input_fired_time: 1.5864446163, output_fired_time: 0.0000000000, propagate_forward_time: 105.6113204956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7322769165
validation[          , genome  6395] predictions:    6364/  10000 (63.64%), best:    6364/10000 (63.64%), error:     10453.48438, best error:     10453.48438 on epoch:    13, epoch:   13/25, mu: 0.6805394292, learning_rate: 0.0007232848, weight_decay: 0.0000893580

epoch time: 1463.8499755859s, input_fired_time: 24.7213020325, output_fired_time: 8.5917892456, propagate_forward_time: 523.9636230469, propagate_backward_time: 890.7661743164, weight_update_time: 0.3249236643, other_time: 15.8070678711
epoch time: 108.7317276001s, input_fired_time: 1.5050518513, output_fired_time: 0.0000000000, propagate_forward_time: 104.6763458252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5503311157
validation[          , genome  6395] predictions:    6430/  10000 (64.30%), best:    6430/10000 (64.30%), error:     10307.56152, best error:     10307.56152 on epoch:    14, epoch:   14/25, mu: 0.6885157228, learning_rate: 0.0006606898, weight_decay: 0.0000815570

epoch time: 1466.9539794922s, input_fired_time: 24.7942733765, output_fired_time: 8.6246356964, propagate_forward_time: 525.7678833008, propagate_backward_time: 892.0463867188, weight_update_time: 0.3091307580, other_time: 15.7207641602
epoch time: 108.1212615967s, input_fired_time: 1.4916599989, output_fired_time: 0.0000000000, propagate_forward_time: 104.0790023804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5505981445
validation[          , genome  6395] predictions:    6339/  10000 (63.39%), best:    6430/10000 (64.30%), error:     10530.73340, best error:     10307.56152 on epoch:    14, epoch:   15/25, mu: 0.6962864399, learning_rate: 0.0006035119, weight_decay: 0.0000744370

epoch time: 1457.5090332031s, input_fired_time: 24.6749362946, output_fired_time: 8.6059255600, propagate_forward_time: 523.6225585938, propagate_backward_time: 884.9083862305, weight_update_time: 0.3106872737, other_time: 15.6972045898
epoch time: 108.4542083740s, input_fired_time: 1.5261498690, output_fired_time: 0.0000000000, propagate_forward_time: 104.3101959229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6178588867
validation[          , genome  6395] predictions:    6340/  10000 (63.40%), best:    6430/10000 (64.30%), error:     10505.46094, best error:     10307.56152 on epoch:    14, epoch:   16/25, mu: 0.7038568854, learning_rate: 0.0005512824, weight_decay: 0.0000679387

epoch time: 1458.8885498047s, input_fired_time: 24.8671970367, output_fired_time: 8.5373191833, propagate_forward_time: 524.1913452148, propagate_backward_time: 885.8372802734, weight_update_time: 0.3133057952, other_time: 15.4553833008
epoch time: 109.2475433350s, input_fired_time: 1.5312181711, output_fired_time: 0.0000000000, propagate_forward_time: 105.0012130737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7151107788
validation[          , genome  6395] predictions:    6458/  10000 (64.58%), best:    6458/10000 (64.58%), error:     10138.57324, best error:     10138.57324 on epoch:    17, epoch:   17/25, mu: 0.7112321854, learning_rate: 0.0005035729, weight_decay: 0.0000620076

epoch time: 1452.1707763672s, input_fired_time: 24.6301860809, output_fired_time: 8.5660257339, propagate_forward_time: 521.4302368164, propagate_backward_time: 881.7057495117, weight_update_time: 0.3214181662, other_time: 15.8386230469
epoch time: 108.0121383667s, input_fired_time: 1.5121082067, output_fired_time: 0.0000000000, propagate_forward_time: 103.9085693359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5914611816
validation[          , genome  6395] predictions:    6456/  10000 (64.56%), best:    6458/10000 (64.58%), error:     10191.32324, best error:     10138.57324 on epoch:    17, epoch:   18/25, mu: 0.7184174061, learning_rate: 0.0004599924, weight_decay: 0.0000565943

epoch time: 1456.7309570313s, input_fired_time: 24.7940979004, output_fired_time: 8.6090803146, propagate_forward_time: 522.9446411133, propagate_backward_time: 884.5952758789, weight_update_time: 0.3176108301, other_time: 15.7878417969
epoch time: 110.2844696045s, input_fired_time: 1.5754036903, output_fired_time: 0.0000000000, propagate_forward_time: 105.9435577393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7655105591
validation[          , genome  6395] predictions:    6464/  10000 (64.64%), best:    6458/10000 (64.58%), error:     10226.56152, best error:     10138.57324 on epoch:    17, epoch:   19/25, mu: 0.7254174352, learning_rate: 0.0004201834, weight_decay: 0.0000516536

epoch time: 1455.4191894531s, input_fired_time: 24.8067874908, output_fired_time: 8.5874814987, propagate_forward_time: 522.3329467773, propagate_backward_time: 883.9843139648, weight_update_time: 0.3156788945, other_time: 15.7076416016
epoch time: 109.1425399780s, input_fired_time: 1.5279724598, output_fired_time: 0.0000000000, propagate_forward_time: 104.9288177490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6857528687
validation[          , genome  6395] predictions:    6446/  10000 (64.46%), best:    6458/10000 (64.58%), error:     10216.85742, best error:     10138.57324 on epoch:    17, epoch:   20/25, mu: 0.7322370410, learning_rate: 0.0003838196, weight_decay: 0.0000471442

epoch time: 1465.7584228516s, input_fired_time: 27.9358329773, output_fired_time: 8.6484975815, propagate_forward_time: 523.5331420898, propagate_backward_time: 890.2607421875, weight_update_time: 0.3115078509, other_time: 15.3803100586
epoch time: 109.0991134644s, input_fired_time: 1.5421358347, output_fired_time: 0.0000000000, propagate_forward_time: 104.9948120117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5621643066
validation[          , genome  6395] predictions:    6485/  10000 (64.85%), best:    6458/10000 (64.58%), error:     10186.94727, best error:     10138.57324 on epoch:    17, epoch:   21/25, mu: 0.7388808727, learning_rate: 0.0003506028, weight_decay: 0.0000430285

epoch time: 1459.6702880859s, input_fired_time: 24.7799549103, output_fired_time: 8.5892581940, propagate_forward_time: 524.0817260742, propagate_backward_time: 886.3315429688, weight_update_time: 0.3183779418, other_time: 15.8878784180
epoch time: 109.3417739868s, input_fired_time: 1.5551886559, output_fired_time: 0.0000000000, propagate_forward_time: 105.0337600708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7528228760
validation[          , genome  6395] predictions:    6570/  10000 (65.70%), best:    6570/10000 (65.70%), error:     10023.28223, best error:     10023.28223 on epoch:    22, epoch:   22/25, mu: 0.7453534603, learning_rate: 0.0003202607, weight_decay: 0.0000392721

epoch time: 1459.5113525391s, input_fired_time: 24.9219627380, output_fired_time: 8.6243219376, propagate_forward_time: 523.8469238281, propagate_backward_time: 886.3684692383, weight_update_time: 0.3129492402, other_time: 15.7496948242
epoch time: 110.3364334106s, input_fired_time: 1.5466624498, output_fired_time: 0.0000000000, propagate_forward_time: 106.1094741821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6802978516
validation[          , genome  6395] predictions:    6553/  10000 (65.53%), best:    6553/10000 (65.53%), error:      9950.32813, best error:      9950.32813 on epoch:    23, epoch:   23/25, mu: 0.7516592145, learning_rate: 0.0002925445, weight_decay: 0.0000358436

epoch time: 1462.2363281250s, input_fired_time: 24.8499584198, output_fired_time: 8.5803842545, propagate_forward_time: 523.3707275391, propagate_backward_time: 889.8306274414, weight_update_time: 0.3146396279, other_time: 15.6045532227
epoch time: 108.3897857666s, input_fired_time: 1.5437922478, output_fired_time: 0.0000000000, propagate_forward_time: 104.1128005981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7331924438
validation[          , genome  6395] predictions:    6559/  10000 (65.59%), best:    6559/10000 (65.59%), error:      9825.15527, best error:      9825.15527 on epoch:    24, epoch:   24/25, mu: 0.7578024268, learning_rate: 0.0002672269, weight_decay: 0.0000327144

epoch time: 1457.8691406250s, input_fired_time: 24.8810329437, output_fired_time: 8.5642271042, propagate_forward_time: 523.8728637695, propagate_backward_time: 885.0001831055, weight_update_time: 0.3124872148, other_time: 15.5509033203
epoch time: 109.5913162231s, input_fired_time: 1.5562371016, output_fired_time: 0.0000000000, propagate_forward_time: 104.8072891235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2277908325
validation[          , genome  6395] predictions:    6544/  10000 (65.44%), best:    6559/10000 (65.59%), error:      9964.75098, best error:      9825.15527 on epoch:    24, epoch:   25/25, mu: 0.7637872696, learning_rate: 0.0002441004, weight_decay: 0.0000298585

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 542.9650268555s, input_fired_time: 7.6988964081, output_fired_time: 0.0000000000, propagate_forward_time: 522.1461181641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.1199951172
best training[          , genome  6395] predictions:   37038/  50000 (74.08%), best:    6559/10000 (65.59%), error:     39130.33594, best error:      9825.15527 on epoch:    24, epoch:   26/25, mu: 0.7696178555, learning_rate: 0.0002229753, weight_decay: 0.0000272518
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 109.0900955200s, input_fired_time: 1.5337784290, output_fired_time: 0.0000000000, propagate_forward_time: 104.9466476440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6096725464
   testing[          , genome  6395] predictions:    6559/  10000 (65.59%), best:    6559/10000 (65.59%), error:      9825.15527, best error:      9825.15527 on epoch:    24, epoch:   26/25, mu: 0.7696178555, learning_rate: 0.0002229753, weight_decay: 0.0000272518
backpropagation finished successfully!
16:51:06 (7108): called boinc_finish(0)

</stderr_txt>
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