Nameexact_genome_1542414603_170_6157_1
Workunit4095288
Created17 Nov 2018, 11:02:00 UTC
Sent17 Nov 2018, 11:49:22 UTC
Report deadline20 Dec 2018, 22:03:55 UTC
Received18 Nov 2018, 3:24:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88780
Run time14 hours 28 min 54 sec
CPU time14 hours 28 min 42 sec
Validate stateValid
Credit8,356.69
Device peak FLOPS2.99 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Stderr output

<core_client_version>7.2.42</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1542414603_170_6157.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157_1_r91781700_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.465446
read mu: 0.465446
read mu_delta: 0.93969
read initial_learning_rate: 0.000938286
read learning_rate: 0.000938286
read learning_rate_delta: 0.904611
read initial_weight_decay: 0.000201404
read weight_decay: 0.000201404
read weight_decay_delta: 0.924522
read batch_size: 103
read epsilon: 1e-07
read alpha: 0.0520977
read input_dropout_probability: 0.00147721
read hidden_dropout_probability: 0.0757593
read velocity_reset: 1400
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: 6157
read normal distribution: '1 0.233500003814697 -1.65488028526306'
generator_str: '1658521186'
read generator: 1658521186
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 447 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: 0.0684280395507812
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: 427835042
post shuffle 1: 1308870836
epoch time: 1843.59228515625s, input_fired_time: 27.0972843170166, output_fired_time: 9.3817720413208, propagate_forward_time: 619.897644042969, propagate_backward_time: 1164.03173828125, weight_update_time: 0.423292726278305, other_time: 23.183837890625
epoch time: 130.625885009766s, input_fired_time: 1.39879167079926, output_fired_time: 0, propagate_forward_time: 125.08846282959, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.13863372802734
validation[          , genome  6157] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     11663.98535, best error:     11663.98535 on epoch:     0, epoch:    0/25, mu: 0.4654461145, learning_rate: 0.0009382858, weight_decay: 0.0002014035

epoch time: 1846.0123291016s, input_fired_time: 27.1183738708, output_fired_time: 9.4041366577, propagate_forward_time: 620.6613159180, propagate_backward_time: 1165.6787109375, weight_update_time: 0.4236694574, other_time: 23.1496582031
epoch time: 130.6261291504s, input_fired_time: 1.3830126524, output_fired_time: 0.0000000000, propagate_forward_time: 125.1055755615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1375427246
validation[          , genome  6157] predictions:    5939/  10000 (59.39%), best:    5939/10000 (59.39%), error:     11627.54395, best error:     11627.54395 on epoch:     1, epoch:    1/25, mu: 0.4970820248, learning_rate: 0.0008487832, weight_decay: 0.0001862021

epoch time: 1845.5582275391s, input_fired_time: 27.1106967926, output_fired_time: 9.4018688202, propagate_forward_time: 620.4855957031, propagate_backward_time: 1165.3924560547, weight_update_time: 0.4233435392, other_time: 23.1676025391
epoch time: 130.6325683594s, input_fired_time: 1.3837013245, output_fired_time: 0.0000000000, propagate_forward_time: 125.1134643555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1354064941
validation[          , genome  6157] predictions:    6189/  10000 (61.89%), best:    6189/10000 (61.89%), error:     11082.07422, best error:     11082.07422 on epoch:     2, epoch:    2/25, mu: 0.5268099904, learning_rate: 0.0007678182, weight_decay: 0.0001721480

epoch time: 1845.7434082031s, input_fired_time: 27.1198825836, output_fired_time: 9.4129095078, propagate_forward_time: 620.5828857422, propagate_backward_time: 1165.4202880859, weight_update_time: 0.4233351052, other_time: 23.2073974609
epoch time: 130.6481628418s, input_fired_time: 1.3952246904, output_fired_time: 0.0000000000, propagate_forward_time: 125.0940017700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1589431763
validation[          , genome  6157] predictions:    5977/  10000 (59.77%), best:    6189/10000 (61.89%), error:     11605.52344, best error:     11082.07422 on epoch:     2, epoch:    3/25, mu: 0.5547450185, learning_rate: 0.0006945765, weight_decay: 0.0001591547

epoch time: 1845.8972167969s, input_fired_time: 27.1369094849, output_fired_time: 9.4352378845, propagate_forward_time: 620.5587158203, propagate_backward_time: 1165.4272460938, weight_update_time: 0.4263471663, other_time: 23.3391113281
epoch time: 130.6264495850s, input_fired_time: 1.3895459175, output_fired_time: 0.0000000000, propagate_forward_time: 125.0943450928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1425628662
validation[          , genome  6157] predictions:    6206/  10000 (62.06%), best:    6206/10000 (62.06%), error:     10913.06836, best error:     10913.06836 on epoch:     4, epoch:    4/25, mu: 0.5809953213, learning_rate: 0.0006283212, weight_decay: 0.0001471421

epoch time: 1845.9620361328s, input_fired_time: 27.1451988220, output_fired_time: 9.4230070114, propagate_forward_time: 620.5665893555, propagate_backward_time: 1165.5430908203, weight_update_time: 0.4253086448, other_time: 23.2843017578
epoch time: 130.6352996826s, input_fired_time: 1.3944828510, output_fired_time: 0.0000000000, propagate_forward_time: 125.1042785645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1365356445
validation[          , genome  6157] predictions:    6095/  10000 (60.95%), best:    6206/10000 (62.06%), error:     11265.26855, best error:     10913.06836 on epoch:     4, epoch:    5/25, mu: 0.6056624651, learning_rate: 0.0005683859, weight_decay: 0.0001360362

epoch time: 1846.0621337891s, input_fired_time: 27.1462535858, output_fired_time: 9.4326009750, propagate_forward_time: 620.5487060547, propagate_backward_time: 1165.5463867188, weight_update_time: 0.4267115593, other_time: 23.3881835938
epoch time: 130.5935363770s, input_fired_time: 1.3809791803, output_fired_time: 0.0000000000, propagate_forward_time: 125.0748901367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1376647949
validation[          , genome  6157] predictions:    6064/  10000 (60.64%), best:    6206/10000 (62.06%), error:     11325.01270, best error:     10913.06836 on epoch:     4, epoch:    6/25, mu: 0.6288419366, learning_rate: 0.0005141679, weight_decay: 0.0001257685

epoch time: 1845.4780273438s, input_fired_time: 27.1248893738, output_fired_time: 9.4060754776, propagate_forward_time: 620.4842529297, propagate_backward_time: 1165.3048095703, weight_update_time: 0.4227289259, other_time: 23.1579589844
epoch time: 130.6429748535s, input_fired_time: 1.3823063374, output_fired_time: 0.0000000000, propagate_forward_time: 125.1262893677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1343765259
validation[          , genome  6157] predictions:    6249/  10000 (62.49%), best:    6249/10000 (62.49%), error:     10784.68652, best error:     10784.68652 on epoch:     7, epoch:    7/25, mu: 0.6506234407, learning_rate: 0.0004651217, weight_decay: 0.0001162758

epoch time: 1845.8657226562s, input_fired_time: 27.1203136444, output_fired_time: 9.4059524536, propagate_forward_time: 620.5988159180, propagate_backward_time: 1165.5915527344, weight_update_time: 0.4228484631, other_time: 23.1489257812
epoch time: 130.6507873535s, input_fired_time: 1.3868105412, output_fired_time: 0.0000000000, propagate_forward_time: 125.1256790161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1382980347
validation[          , genome  6157] predictions:    6237/  10000 (62.37%), best:    6237/10000 (62.37%), error:     10702.96387, best error:     10702.96387 on epoch:     8, epoch:    8/25, mu: 0.6710912585, learning_rate: 0.0004207540, weight_decay: 0.0001074996

epoch time: 1845.9161376953s, input_fired_time: 27.1193294525, output_fired_time: 9.4011421204, propagate_forward_time: 620.6207885742, propagate_backward_time: 1165.6184082031, weight_update_time: 0.4231968522, other_time: 23.1564941406
epoch time: 130.6624450684s, input_fired_time: 1.3891030550, output_fired_time: 0.0000000000, propagate_forward_time: 125.1323928833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1409530640
validation[          , genome  6157] predictions:    6077/  10000 (60.77%), best:    6237/10000 (62.37%), error:     11216.36523, best error:     10702.96387 on epoch:     8, epoch:    9/25, mu: 0.6903246641, learning_rate: 0.0003806185, weight_decay: 0.0000993858

epoch time: 1845.2237548828s, input_fired_time: 27.1293468475, output_fired_time: 9.4007015228, propagate_forward_time: 620.4012451172, propagate_backward_time: 1165.1461181641, weight_update_time: 0.4231938422, other_time: 23.1462402344
epoch time: 130.6338806152s, input_fired_time: 1.3936165571, output_fired_time: 0.0000000000, propagate_forward_time: 125.0975875854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1426773071
validation[          , genome  6157] predictions:    6203/  10000 (62.03%), best:    6237/10000 (62.37%), error:     11077.22070, best error:     10702.96387 on epoch:     8, epoch:   10/25, mu: 0.7083981037, learning_rate: 0.0003443115, weight_decay: 0.0000918844

epoch time: 1845.4747314453s, input_fired_time: 27.1378574371, output_fired_time: 9.4020156860, propagate_forward_time: 620.4509277344, propagate_backward_time: 1165.3397216797, weight_update_time: 0.4231583774, other_time: 23.1442871094
epoch time: 130.6156463623s, input_fired_time: 1.3917785883, output_fired_time: 0.0000000000, propagate_forward_time: 125.0931167603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1307449341
validation[          , genome  6157] predictions:    6213/  10000 (62.13%), best:    6237/10000 (62.37%), error:     10840.81250, best error:     10702.96387 on epoch:     8, epoch:   11/25, mu: 0.7253815532, learning_rate: 0.0003114678, weight_decay: 0.0000849492

epoch time: 1845.0996093750s, input_fired_time: 27.1691303253, output_fired_time: 9.4344482422, propagate_forward_time: 620.2883911133, propagate_backward_time: 1164.8540039062, weight_update_time: 0.4266026318, other_time: 23.3535156250
epoch time: 130.7827453613s, input_fired_time: 1.4268553257, output_fired_time: 0.0000000000, propagate_forward_time: 125.1197357178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2361602783
validation[          , genome  6157] predictions:    6229/  10000 (62.29%), best:    6237/10000 (62.37%), error:     10805.35840, best error:     10702.96387 on epoch:     8, epoch:   12/25, mu: 0.7413406968, learning_rate: 0.0002817570, weight_decay: 0.0000785374

epoch time: 1844.3189697266s, input_fired_time: 27.1467571259, output_fired_time: 9.3881015778, propagate_forward_time: 620.0794677734, propagate_backward_time: 1164.4711914062, weight_update_time: 0.4237858057, other_time: 23.2335205078
epoch time: 130.5628662109s, input_fired_time: 1.3771433830, output_fired_time: 0.0000000000, propagate_forward_time: 125.0403976440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1453323364
validation[          , genome  6157] predictions:    6349/  10000 (63.49%), best:    6349/10000 (63.49%), error:     10658.06250, best error:     10658.06250 on epoch:    13, epoch:   13/25, mu: 0.7563373446, learning_rate: 0.0002548803, weight_decay: 0.0000726096

epoch time: 1843.2766113281s, input_fired_time: 27.1394157410, output_fired_time: 9.3588962555, propagate_forward_time: 619.7861938477, propagate_backward_time: 1163.8488769531, weight_update_time: 0.4227418303, other_time: 23.1433105469
epoch time: 130.4544219971s, input_fired_time: 1.3811039925, output_fired_time: 0.0000000000, propagate_forward_time: 124.9341506958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1391677856
validation[          , genome  6157] predictions:    6312/  10000 (63.12%), best:    6312/10000 (63.12%), error:     10646.44043, best error:     10646.44043 on epoch:    14, epoch:   14/25, mu: 0.7704295516, learning_rate: 0.0002305674, weight_decay: 0.0000671292

epoch time: 1842.8297119141s, input_fired_time: 27.1591186523, output_fired_time: 9.3658781052, propagate_forward_time: 619.6723632812, propagate_backward_time: 1163.5106201172, weight_update_time: 0.4228648245, other_time: 23.1218261719
epoch time: 130.4613647461s, input_fired_time: 1.3754837513, output_fired_time: 0.0000000000, propagate_forward_time: 124.9511566162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1347198486
validation[          , genome  6157] predictions:    6342/  10000 (63.42%), best:    6342/10000 (63.42%), error:     10591.51660, best error:     10591.51660 on epoch:    15, epoch:   15/25, mu: 0.7836718559, learning_rate: 0.0002085737, weight_decay: 0.0000620625

epoch time: 1843.2818603516s, input_fired_time: 27.1563262939, output_fired_time: 9.3684062958, propagate_forward_time: 619.7951049805, propagate_backward_time: 1163.8281250000, weight_update_time: 0.4222093225, other_time: 23.1337890625
epoch time: 130.4698791504s, input_fired_time: 1.3844138384, output_fired_time: 0.0000000000, propagate_forward_time: 124.9470214844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1384429932
validation[          , genome  6157] predictions:    6371/  10000 (63.71%), best:    6371/10000 (63.71%), error:     10419.45410, best error:     10419.45410 on epoch:    16, epoch:   16/25, mu: 0.7961155176, learning_rate: 0.0001886780, weight_decay: 0.0000573782

epoch time: 1843.0225830078s, input_fired_time: 27.1648216248, output_fired_time: 9.3669862747, propagate_forward_time: 619.7116088867, propagate_backward_time: 1163.6470947266, weight_update_time: 0.4233372509, other_time: 23.1322021484
epoch time: 130.4525146484s, input_fired_time: 1.3798679113, output_fired_time: 0.0000000000, propagate_forward_time: 124.9352264404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1374206543
validation[          , genome  6157] predictions:    6043/  10000 (60.43%), best:    6371/10000 (63.71%), error:     11628.93555, best error:     10419.45410 on epoch:    16, epoch:   17/25, mu: 0.8078086972, learning_rate: 0.0001706801, weight_decay: 0.0000530474

epoch time: 1843.0213623047s, input_fired_time: 27.1626262665, output_fired_time: 9.3367986679, propagate_forward_time: 619.7424926758, propagate_backward_time: 1163.6850585938, weight_update_time: 0.4210704267, other_time: 23.0944824219
epoch time: 130.4305114746s, input_fired_time: 1.3767002821, output_fired_time: 0.0000000000, propagate_forward_time: 124.9326019287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1212158203
validation[          , genome  6157] predictions:    6399/  10000 (63.99%), best:    6371/10000 (63.71%), error:     10460.50391, best error:     10419.45410 on epoch:    16, epoch:   18/25, mu: 0.8187966943, learning_rate: 0.0001543990, weight_decay: 0.0000490435

epoch time: 1842.9080810547s, input_fired_time: 27.1781444550, output_fired_time: 9.3466701508, propagate_forward_time: 619.6791992188, propagate_backward_time: 1163.6325683594, weight_update_time: 0.4212758839, other_time: 23.0715332031
epoch time: 130.4621429443s, input_fired_time: 1.3837584257, output_fired_time: 0.0000000000, propagate_forward_time: 124.9540786743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1243057251
validation[          , genome  6157] predictions:    6245/  10000 (62.45%), best:    6371/10000 (63.71%), error:     10808.80078, best error:     10419.45410 on epoch:    16, epoch:   19/25, mu: 0.8291220069, learning_rate: 0.0001396710, weight_decay: 0.0000453418

epoch time: 1842.3304443359s, input_fired_time: 27.1730957031, output_fired_time: 9.2977724075, propagate_forward_time: 619.4741821289, propagate_backward_time: 1163.3818359375, weight_update_time: 0.4195591211, other_time: 23.0036621094
epoch time: 130.3682403564s, input_fired_time: 1.3558671474, output_fired_time: 0.0000000000, propagate_forward_time: 124.8960266113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1163482666
validation[          , genome  6157] predictions:    6257/  10000 (62.57%), best:    6371/10000 (63.71%), error:     10816.47559, best error:     10419.45410 on epoch:    16, epoch:   20/25, mu: 0.8388245702, learning_rate: 0.0001263478, weight_decay: 0.0000419195

epoch time: 1841.8890380859s, input_fired_time: 27.1760730743, output_fired_time: 9.2978811264, propagate_forward_time: 619.3328857422, propagate_backward_time: 1163.0841064453, weight_update_time: 0.4194645286, other_time: 22.9981689453
epoch time: 130.3613433838s, input_fired_time: 1.3694849014, output_fired_time: 0.0000000000, propagate_forward_time: 124.8754272461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1164245605
validation[          , genome  6157] predictions:    6485/  10000 (64.85%), best:    6485/10000 (64.85%), error:     10294.75684, best error:     10294.75684 on epoch:    21, epoch:   21/25, mu: 0.8479419947, learning_rate: 0.0001142956, weight_decay: 0.0000387555

epoch time: 1841.5306396484s, input_fired_time: 27.1893405914, output_fired_time: 9.3070688248, propagate_forward_time: 619.2428588867, propagate_backward_time: 1162.7760009766, weight_update_time: 0.4187237322, other_time: 23.0152587891
epoch time: 130.3888549805s, input_fired_time: 1.3814549446, output_fired_time: 0.0000000000, propagate_forward_time: 124.8826751709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1247253418
validation[          , genome  6157] predictions:    6411/  10000 (64.11%), best:    6485/10000 (64.85%), error:     10317.71094, best error:     10294.75684 on epoch:    21, epoch:   22/25, mu: 0.8565095067, learning_rate: 0.0001033930, weight_decay: 0.0000358304

epoch time: 1842.7626953125s, input_fired_time: 27.2085552216, output_fired_time: 9.3504848480, propagate_forward_time: 619.5670776367, propagate_backward_time: 1163.5833740234, weight_update_time: 0.4215877950, other_time: 23.0533447266
epoch time: 130.4354248047s, input_fired_time: 1.3822910786, output_fired_time: 0.0000000000, propagate_forward_time: 124.9300231934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1231079102
validation[          , genome  6157] predictions:    6365/  10000 (63.65%), best:    6485/10000 (64.85%), error:     10448.49512, best error:     10294.75684 on epoch:    21, epoch:   23/25, mu: 0.8645603061, learning_rate: 0.0000935304, weight_decay: 0.0000331260

epoch time: 1842.9772949219s, input_fired_time: 27.2187881470, output_fired_time: 9.3564062119, propagate_forward_time: 619.6458129883, propagate_backward_time: 1163.6391601562, weight_update_time: 0.4220865667, other_time: 23.1171875000
epoch time: 130.5825347900s, input_fired_time: 1.4242780209, output_fired_time: 0.0000000000, propagate_forward_time: 125.0033187866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1549453735
validation[          , genome  6157] predictions:    6479/  10000 (64.79%), best:    6479/10000 (64.79%), error:     10276.47266, best error:     10276.47266 on epoch:    24, epoch:   24/25, mu: 0.8721255660, learning_rate: 0.0000846086, weight_decay: 0.0000306257

epoch time: 1844.2529296875s, input_fired_time: 27.2594585419, output_fired_time: 9.4211778641, propagate_forward_time: 620.0518188477, propagate_backward_time: 1164.2760009766, weight_update_time: 0.4242919087, other_time: 23.2445068359
epoch time: 130.5616302490s, input_fired_time: 1.4218019247, output_fired_time: 0.0000000000, propagate_forward_time: 124.9902496338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1495819092
validation[          , genome  6157] predictions:    6402/  10000 (64.02%), best:    6479/10000 (64.79%), error:     10353.00684, best error:     10276.47266 on epoch:    24, epoch:   25/25, mu: 0.8792346120, learning_rate: 0.0000765378, weight_decay: 0.0000283142

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 647.6231689453s, input_fired_time: 7.0811095238, output_fired_time: 0.0000000000, propagate_forward_time: 619.8541259766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.6879272461
best training[          , genome  6157] predictions:   35648/  50000 (71.30%), best:    6479/10000 (64.79%), error:     43024.33594, best error:     10276.47266 on epoch:    24, epoch:   26/25, mu: 0.8859148622, learning_rate: 0.0000692369, weight_decay: 0.0000261771
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 130.6069946289s, input_fired_time: 1.4258940220, output_fired_time: 0.0000000000, propagate_forward_time: 125.0327606201, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1483459473
   testing[          , genome  6157] predictions:    6479/  10000 (64.79%), best:    6479/10000 (64.79%), error:     10276.47266, best error:     10276.47266 on epoch:    24, epoch:   26/25, mu: 0.8859148622, learning_rate: 0.0000692369, weight_decay: 0.0000261771
backpropagation finished successfully!
19:18:50 (9859): called boinc_finish(0)

</stderr_txt>
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