Nameexact_genome_1542727803_170_6408_0
Workunit4101335
Created20 Nov 2018, 20:17:16 UTC
Sent20 Nov 2018, 20:17:42 UTC
Report deadline16 Dec 2018, 14:11:08 UTC
Received23 Nov 2018, 1:46:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88573
Run time12 hours 3 min 23 sec
CPU time12 hours 3 min 20 sec
Validate stateValid
Credit6,436.36
Device peak FLOPS3.35 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size564.19 MB
Peak swap size562.96 MB
Peak disk usage10.85 MB

Stderr output

<core_client_version>7.6.22</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_1542727803_170_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_170_6408_0_r605612808_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_170_6408.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.463337
read mu: 0.463337
read mu_delta: 0.93864
read initial_learning_rate: 0.000648044
read learning_rate: 0.000648044
read learning_rate_delta: 0.907622
read initial_weight_decay: 0.000192334
read weight_decay: 0.000192334
read weight_decay_delta: 0.927099
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0538729
read input_dropout_probability: 0.00148506
read hidden_dropout_probability: 0.0776574
read velocity_reset: 1375
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: 6408
read normal distribution: '0 0.763664305210114 0.933259904384613'
generator_str: '302481148'
read generator: 302481148
read generated_by_map:
1 change_size 1
reading 104 nodes.
reading 372 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: 706861987
post shuffle 1: 1956540277
epoch time: 1472.13781738281s, input_fired_time: 24.3758125305176, output_fired_time: 11.9164524078369, propagate_forward_time: 582.835388183594, propagate_backward_time: 835.366882324219, weight_update_time: 0.476629376411438, other_time: 17.6431884765625
epoch time: 111.112777709961s, input_fired_time: 1.83191180229187, output_fired_time: 0, propagate_forward_time: 106.186683654785, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.09418487548828
validation[          , genome  6408] predictions:    5910/  10000 (59.10%), best:    5910/10000 (59.10%), error:     11696.41504, best error:     11696.41504 on epoch:     0, epoch:    0/25, mu: 0.4633367956, learning_rate: 0.0006480439, weight_decay: 0.0001923344

epoch time: 1558.2242431641s, input_fired_time: 24.9922904968, output_fired_time: 12.6361865997, propagate_forward_time: 618.9156494141, propagate_backward_time: 883.4912109375, weight_update_time: 0.5040922761, other_time: 18.1888427734
epoch time: 140.2941741943s, input_fired_time: 2.1420230865, output_fired_time: 0.0000000000, propagate_forward_time: 134.7957000732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3564453125
validation[          , genome  6408] predictions:    6156/  10000 (61.56%), best:    6156/10000 (61.56%), error:     11207.45410, best error:     11207.45410 on epoch:     1, epoch:    1/25, mu: 0.4956527054, learning_rate: 0.0005881787, weight_decay: 0.0001783130

epoch time: 1548.6008300781s, input_fired_time: 24.9776210785, output_fired_time: 12.5425577164, propagate_forward_time: 614.9368286133, propagate_backward_time: 877.8999023438, weight_update_time: 0.5041299462, other_time: 18.2438354492
epoch time: 120.5976562500s, input_fired_time: 1.9352668524, output_fired_time: 0.0000000000, propagate_forward_time: 115.4766921997, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1856994629
validation[          , genome  6408] predictions:    6043/  10000 (60.43%), best:    6156/10000 (61.56%), error:     11491.60059, best error:     11207.45410 on epoch:     1, epoch:    2/25, mu: 0.5259857178, learning_rate: 0.0005338437, weight_decay: 0.0001653139

epoch time: 1323.8482666016s, input_fired_time: 23.3367671967, output_fired_time: 10.6865835190, propagate_forward_time: 519.5560302734, propagate_backward_time: 753.4124755859, weight_update_time: 0.4324615300, other_time: 16.8564453125
epoch time: 90.7345123291s, input_fired_time: 1.5513988733, output_fired_time: 0.0000000000, propagate_forward_time: 86.3519744873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8311386108
validation[          , genome  6408] predictions:    5959/  10000 (59.59%), best:    6156/10000 (61.56%), error:     11588.31641, best error:     11207.45410 on epoch:     1, epoch:    3/25, mu: 0.5544574857, learning_rate: 0.0004845281, weight_decay: 0.0001532624

epoch time: 1440.1481933594s, input_fired_time: 23.9793167114, output_fired_time: 11.5762796402, propagate_forward_time: 569.9364624023, propagate_backward_time: 817.5444335938, weight_update_time: 0.4600660205, other_time: 17.1116333008
epoch time: 132.2971191406s, input_fired_time: 2.0511629581, output_fired_time: 0.0000000000, propagate_forward_time: 126.9730834961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2728729248
validation[          , genome  6408] predictions:    6104/  10000 (61.04%), best:    6156/10000 (61.56%), error:     11250.20020, best error:     11207.45410 on epoch:     1, epoch:    4/25, mu: 0.5811822414, learning_rate: 0.0004397682, weight_decay: 0.0001420894

epoch time: 1523.9549560547s, input_fired_time: 24.4792270660, output_fired_time: 12.2211961746, propagate_forward_time: 603.7533569336, propagate_backward_time: 866.0514526367, weight_update_time: 0.4804716706, other_time: 17.4497070313
epoch time: 106.4398269653s, input_fired_time: 1.7301816940, output_fired_time: 0.0000000000, propagate_forward_time: 101.7475891113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9620590210
validation[          , genome  6408] predictions:    6075/  10000 (60.75%), best:    6075/10000 (60.75%), error:     11173.64551, best error:     11173.64551 on epoch:     5, epoch:    5/25, mu: 0.6062671542, learning_rate: 0.0003991431, weight_decay: 0.0001317310

epoch time: 1557.9345703125s, input_fired_time: 24.9654712677, output_fired_time: 12.6092567444, propagate_forward_time: 619.8665161133, propagate_backward_time: 882.3970947266, weight_update_time: 0.5003268123, other_time: 18.0962524414
epoch time: 114.7487411499s, input_fired_time: 1.8658803701, output_fired_time: 0.0000000000, propagate_forward_time: 109.7506103516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1322479248
validation[          , genome  6408] predictions:    6142/  10000 (61.42%), best:    6075/10000 (60.75%), error:     11245.37012, best error:     11173.64551 on epoch:     5, epoch:    6/25, mu: 0.6298128963, learning_rate: 0.0003622709, weight_decay: 0.0001221277

epoch time: 1443.9645996094s, input_fired_time: 24.3153533936, output_fired_time: 11.7299213409, propagate_forward_time: 571.0368041992, propagate_backward_time: 819.0883178711, weight_update_time: 0.4755187035, other_time: 17.7941894531
epoch time: 129.8972473145s, input_fired_time: 2.0397806168, output_fired_time: 0.0000000000, propagate_forward_time: 124.6139602661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2435073853
validation[          , genome  6408] predictions:    6067/  10000 (60.67%), best:    6075/10000 (60.75%), error:     11255.78027, best error:     11173.64551 on epoch:     5, epoch:    7/25, mu: 0.6519138813, learning_rate: 0.0003288049, weight_decay: 0.0001132245

epoch time: 1484.3018798828s, input_fired_time: 24.5583152771, output_fired_time: 12.0547847748, propagate_forward_time: 586.9428100586, propagate_backward_time: 842.7481079102, weight_update_time: 0.4870621264, other_time: 17.9978027344
epoch time: 97.1493988037s, input_fired_time: 1.6744755507, output_fired_time: 0.0000000000, propagate_forward_time: 92.4951782227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9797439575
validation[          , genome  6408] predictions:    5907/  10000 (59.07%), best:    6075/10000 (60.75%), error:     11765.54395, best error:     11173.64551 on epoch:     5, epoch:    8/25, mu: 0.6726587415, learning_rate: 0.0002984304, weight_decay: 0.0001049703

epoch time: 1702.4219970703s, input_fired_time: 25.6109600067, output_fired_time: 13.6722793579, propagate_forward_time: 679.7458496094, propagate_backward_time: 965.3869628906, weight_update_time: 0.5224331617, other_time: 18.0059814453
epoch time: 150.6042633057s, input_fired_time: 2.2173511982, output_fired_time: 0.0000000000, propagate_forward_time: 145.1191406250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2677764893
validation[          , genome  6408] predictions:    5775/  10000 (57.75%), best:    6075/10000 (60.75%), error:     12112.60547, best error:     11173.64551 on epoch:     5, epoch:    9/25, mu: 0.6921306849, learning_rate: 0.0002708619, weight_decay: 0.0000973179

epoch time: 1622.0214843750s, input_fired_time: 25.4727535248, output_fired_time: 13.1056003571, propagate_forward_time: 647.9006347656, propagate_backward_time: 916.8376464844, weight_update_time: 0.5193846226, other_time: 18.7048339844
epoch time: 143.1445770264s, input_fired_time: 2.1173505783, output_fired_time: 0.0000000000, propagate_forward_time: 137.8396148682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1876068115
validation[          , genome  6408] predictions:    6246/  10000 (62.46%), best:    6246/10000 (62.46%), error:     10988.60156, best error:     10988.60156 on epoch:    10, epoch:   10/25, mu: 0.7104078531, learning_rate: 0.0002458401, weight_decay: 0.0000902234

epoch time: 1573.4663085938s, input_fired_time: 24.7823848724, output_fired_time: 12.5862779617, propagate_forward_time: 627.0074462891, propagate_backward_time: 891.7026367188, weight_update_time: 0.4926456213, other_time: 17.3875732422
epoch time: 116.2417449951s, input_fired_time: 1.8250956535, output_fired_time: 0.0000000000, propagate_forward_time: 111.4594116211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9572372437
validation[          , genome  6408] predictions:    6217/  10000 (62.17%), best:    6246/10000 (62.46%), error:     11043.86719, best error:     10988.60156 on epoch:    10, epoch:   11/25, mu: 0.7275635600, learning_rate: 0.0002231298, weight_decay: 0.0000836460

epoch time: 1596.2047119141s, input_fired_time: 24.9841098785, output_fired_time: 12.8333845139, propagate_forward_time: 636.9205322266, propagate_backward_time: 903.9247436523, weight_update_time: 0.4977824390, other_time: 17.5419311523
epoch time: 162.8829345703s, input_fired_time: 2.3499855995, output_fired_time: 0.0000000000, propagate_forward_time: 157.1587982178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3741455078
validation[          , genome  6408] predictions:    6133/  10000 (61.33%), best:    6246/10000 (62.46%), error:     11018.43262, best error:     10988.60156 on epoch:    10, epoch:   12/25, mu: 0.7436665893, learning_rate: 0.0002025174, weight_decay: 0.0000775482

epoch time: 1585.2548828125s, input_fired_time: 24.8682975769, output_fired_time: 12.7212591171, propagate_forward_time: 631.1309204102, propagate_backward_time: 899.0661621094, weight_update_time: 0.4951153398, other_time: 17.4682006836
epoch time: 157.2364959717s, input_fired_time: 2.2738196850, output_fired_time: 0.0000000000, propagate_forward_time: 151.6551208496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3075561523
validation[          , genome  6408] predictions:    6232/  10000 (62.32%), best:    6232/10000 (62.32%), error:     10900.24219, best error:     10900.24219 on epoch:    13, epoch:   13/25, mu: 0.7587815523, learning_rate: 0.0001838092, weight_decay: 0.0000718948

epoch time: 1354.7976074219s, input_fired_time: 23.4282989502, output_fired_time: 10.9012403488, propagate_forward_time: 533.6090698242, propagate_backward_time: 770.3541870117, weight_update_time: 0.4366880655, other_time: 16.5047607422
epoch time: 85.4528656006s, input_fired_time: 1.5050525665, output_fired_time: 0.0000000000, propagate_forward_time: 81.2326202393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7151947021
validation[          , genome  6408] predictions:    6280/  10000 (62.80%), best:    6280/10000 (62.80%), error:     10783.54980, best error:     10783.54980 on epoch:    14, epoch:   14/25, mu: 0.7729690671, learning_rate: 0.0001668292, weight_decay: 0.0000666537

epoch time: 1549.8370361328s, input_fired_time: 24.6351394653, output_fired_time: 12.3987627029, propagate_forward_time: 614.6995849609, propagate_backward_time: 880.8040161133, weight_update_time: 0.4868561924, other_time: 17.2994995117
epoch time: 164.7711486816s, input_fired_time: 2.3665230274, output_fired_time: 0.0000000000, propagate_forward_time: 159.0396881104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3649444580
validation[          , genome  6408] predictions:    6182/  10000 (61.82%), best:    6280/10000 (62.80%), error:     10947.68652, best error:     10783.54980 on epoch:    14, epoch:   15/25, mu: 0.7862859964, learning_rate: 0.0001514178, weight_decay: 0.0000617945

epoch time: 1573.7933349609s, input_fired_time: 25.0286312103, output_fired_time: 12.6891479492, propagate_forward_time: 626.3598022461, propagate_backward_time: 891.7540283203, weight_update_time: 0.5023344755, other_time: 17.9616088867
epoch time: 165.6226043701s, input_fired_time: 2.4464724064, output_fired_time: 0.0000000000, propagate_forward_time: 159.6120300293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5641021729
validation[          , genome  6408] predictions:    6270/  10000 (62.70%), best:    6280/10000 (62.80%), error:     10848.19727, best error:     10783.54980 on epoch:    14, epoch:   16/25, mu: 0.7987858057, learning_rate: 0.0001374301, weight_decay: 0.0000572897

epoch time: 1245.3253173828s, input_fired_time: 23.2770290375, output_fired_time: 10.2116565704, propagate_forward_time: 483.9495544434, propagate_backward_time: 710.3677368164, weight_update_time: 0.4276745915, other_time: 17.5193481445
epoch time: 146.0104064941s, input_fired_time: 2.2270882130, output_fired_time: 0.0000000000, propagate_forward_time: 140.3488159180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4345092773
validation[          , genome  6408] predictions:    6293/  10000 (62.93%), best:    6293/10000 (62.93%), error:     10747.22754, best error:     10747.22754 on epoch:    17, epoch:   17/25, mu: 0.8105186224, learning_rate: 0.0001247345, weight_decay: 0.0000531132

epoch time: 1356.7778320313s, input_fired_time: 23.9577522278, output_fired_time: 11.0893659592, propagate_forward_time: 533.1143798828, propagate_backward_time: 770.6942138672, weight_update_time: 0.4578509927, other_time: 17.9221191406
epoch time: 163.0742645264s, input_fired_time: 2.4189183712, output_fired_time: 0.0000000000, propagate_forward_time: 157.1251068115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5302429199
validation[          , genome  6408] predictions:    6309/  10000 (63.09%), best:    6309/10000 (63.09%), error:     10647.65137, best error:     10647.65137 on epoch:    18, epoch:   18/25, mu: 0.8215315342, learning_rate: 0.0001132117, weight_decay: 0.0000492412

epoch time: 1477.1605224609s, input_fired_time: 24.6106872559, output_fired_time: 11.9684677124, propagate_forward_time: 583.6300659180, propagate_backward_time: 839.0290527344, weight_update_time: 0.4852654934, other_time: 17.9221801758
epoch time: 106.2870101929s, input_fired_time: 1.8027743101, output_fired_time: 0.0000000000, propagate_forward_time: 101.4191818237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0650558472
validation[          , genome  6408] predictions:    6238/  10000 (62.38%), best:    6309/10000 (63.09%), error:     10737.75586, best error:     10647.65137 on epoch:    18, epoch:   19/25, mu: 0.8318687081, learning_rate: 0.0001027534, weight_decay: 0.0000456515

epoch time: 1323.2420654297s, input_fired_time: 23.3830661774, output_fired_time: 10.6907110214, propagate_forward_time: 518.6021728516, propagate_backward_time: 753.8264160156, weight_update_time: 0.4324038327, other_time: 16.7397460938
epoch time: 148.5560150146s, input_fired_time: 2.2105071545, output_fired_time: 0.0000000000, propagate_forward_time: 143.0655517578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2799530029
validation[          , genome  6408] predictions:    6236/  10000 (62.36%), best:    6309/10000 (63.09%), error:     10983.32813, best error:     10647.65137 on epoch:    18, epoch:   20/25, mu: 0.8415715694, learning_rate: 0.0000932612, weight_decay: 0.0000423235

epoch time: 1598.3175048828s, input_fired_time: 25.0744266510, output_fired_time: 12.8432054520, propagate_forward_time: 637.6027221680, propagate_backward_time: 905.1182250977, weight_update_time: 0.4988121688, other_time: 17.6788330078
epoch time: 146.7230377197s, input_fired_time: 2.1982462406, output_fired_time: 0.0000000000, propagate_forward_time: 141.2552032471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2695922852
validation[          , genome  6408] predictions:    6266/  10000 (62.66%), best:    6309/10000 (63.09%), error:     10733.17676, best error:     10647.65137 on epoch:    18, epoch:   21/25, mu: 0.8506790996, learning_rate: 0.0000846459, weight_decay: 0.0000392381

epoch time: 1594.0742187500s, input_fired_time: 25.2954216003, output_fired_time: 12.8673734665, propagate_forward_time: 634.7828369141, propagate_backward_time: 902.8574829102, weight_update_time: 0.5100624561, other_time: 18.2710571289
epoch time: 162.6416473389s, input_fired_time: 2.3855822086, output_fired_time: 0.0000000000, propagate_forward_time: 156.8763122559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3797454834
validation[          , genome  6408] predictions:    6316/  10000 (63.16%), best:    6316/10000 (63.16%), error:     10629.38086, best error:     10629.38086 on epoch:    22, epoch:   22/25, mu: 0.8592277765, learning_rate: 0.0000768264, weight_decay: 0.0000363776

epoch time: 1593.4682617188s, input_fired_time: 25.0911235809, output_fired_time: 12.8309831619, propagate_forward_time: 634.7663574219, propagate_backward_time: 903.0446166992, weight_update_time: 0.4972026348, other_time: 17.7352905273
epoch time: 150.8275146484s, input_fired_time: 2.2320578098, output_fired_time: 0.0000000000, propagate_forward_time: 145.3219909668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2734680176
validation[          , genome  6408] predictions:    6192/  10000 (61.92%), best:    6316/10000 (63.16%), error:     10934.17676, best error:     10629.38086 on epoch:    22, epoch:   23/25, mu: 0.8672519326, learning_rate: 0.0000697293, weight_decay: 0.0000337256

epoch time: 1671.4111328125s, input_fired_time: 25.6375579834, output_fired_time: 13.4509582520, propagate_forward_time: 667.5359497070, propagate_backward_time: 946.6796875000, weight_update_time: 0.5197184086, other_time: 18.1069946289
epoch time: 87.3836822510s, input_fired_time: 1.5374134779, output_fired_time: 0.0000000000, propagate_forward_time: 83.0493316650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7969360352
validation[          , genome  6408] predictions:    6316/  10000 (63.16%), best:    6316/10000 (63.16%), error:     10682.14453, best error:     10629.38086 on epoch:    22, epoch:   24/25, mu: 0.8747836947, learning_rate: 0.0000632879, weight_decay: 0.0000312670

epoch time: 1476.4135742188s, input_fired_time: 24.3477382660, output_fired_time: 11.9193735123, propagate_forward_time: 584.1493530273, propagate_backward_time: 838.7026977539, weight_update_time: 0.4695445299, other_time: 17.2943115234
epoch time: 164.9009246826s, input_fired_time: 2.3821318150, output_fired_time: 0.0000000000, propagate_forward_time: 159.1665496826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3522491455
validation[          , genome  6408] predictions:    6290/  10000 (62.90%), best:    6316/10000 (63.16%), error:     10675.72852, best error:     10629.38086 on epoch:    22, epoch:   25/25, mu: 0.8818533421, learning_rate: 0.0000574414, weight_decay: 0.0000289876

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 505.9796752930s, input_fired_time: 8.4626312256, output_fired_time: 0.0000000000, propagate_forward_time: 482.8921203613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.6249084473
best training[          , genome  6408] predictions:   34469/  50000 (68.94%), best:    6316/10000 (63.16%), error:     46677.20313, best error:     10629.38086 on epoch:    22, epoch:   26/25, mu: 0.8884891868, learning_rate: 0.0000521351, weight_decay: 0.0000268744
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 164.5694122314s, input_fired_time: 2.3936195374, output_fired_time: 0.0000000000, propagate_forward_time: 158.7920074463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3837890625
   testing[          , genome  6408] predictions:    6316/  10000 (63.16%), best:    6316/10000 (63.16%), error:     10629.38086, best error:     10629.38086 on epoch:    22, epoch:   26/25, mu: 0.8884891868, learning_rate: 0.0000521351, weight_decay: 0.0000268744
backpropagation finished successfully!
19:44:11 (3260): called boinc_finish(0)

</stderr_txt>
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