Nameexact_genome_1542727803_167_6411_1
Workunit4101320
Created20 Nov 2018, 20:15:07 UTC
Sent20 Nov 2018, 20:15:16 UTC
Report deadline21 Dec 2018, 19:29:48 UTC
Received21 Nov 2018, 9:26:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60660
Run time9 hours 46 min 1 sec
CPU time9 hours 28 min 35 sec
Validate stateValid
Credit7,742.11
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size526.02 MB
Peak swap size546.07 MB
Peak disk usage12.67 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_1542727803_167_6411.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6411_1_r968130304_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6411.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6411
read normal distribution: '1 -0.221345454454422 -1.50020861625671'
generator_str: '1560546251'
read generator: 1560546251
read generated_by_map:
1 crossover 1
reading 97 nodes.
reading 443 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: 883059746
post shuffle 1: 421778051
epoch time: 1215.21130371094s, input_fired_time: 8.78768444061279, output_fired_time: 6.73073482513428, propagate_forward_time: 446.200531005859, propagate_backward_time: 742.096313476563, weight_update_time: 1.21371257305145, other_time: 11.39599609375
epoch time: 92.1037979125977s, input_fired_time: 0.957660794258118, output_fired_time: 0, propagate_forward_time: 89.1552429199219, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.99089050292969
validation[          , genome  6411] predictions:    4649/  10000 (46.49%), best:    4649/10000 (46.49%), error:     19504.85352, best error:     19504.85352 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1216.9726562500s, input_fired_time: 8.6812257767, output_fired_time: 6.7225155830, propagate_forward_time: 446.5502929688, propagate_backward_time: 743.6101684570, weight_update_time: 1.1972587109, other_time: 11.4083862305
epoch time: 93.6863327026s, input_fired_time: 0.9573566914, output_fired_time: 0.0000000000, propagate_forward_time: 90.7598419189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9691314697
validation[          , genome  6411] predictions:    5085/  10000 (50.85%), best:    5085/10000 (50.85%), error:     16443.04297, best error:     16443.04297 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1218.0581054688s, input_fired_time: 8.6173563004, output_fired_time: 6.7802848816, propagate_forward_time: 447.2524719238, propagate_backward_time: 743.9108886719, weight_update_time: 1.2241786718, other_time: 11.4971923828
epoch time: 92.5479354858s, input_fired_time: 0.9602875710, output_fired_time: 0.0000000000, propagate_forward_time: 89.5632400513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0244064331
validation[          , genome  6411] predictions:    5075/  10000 (50.75%), best:    5075/10000 (50.75%), error:     16176.00879, best error:     16176.00879 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1216.9367675781s, input_fired_time: 8.6024894714, output_fired_time: 6.7823004723, propagate_forward_time: 446.8832702637, propagate_backward_time: 743.2150268555, weight_update_time: 1.2005600929, other_time: 11.4535522461
epoch time: 91.8510818481s, input_fired_time: 0.9212198853, output_fired_time: 0.0000000000, propagate_forward_time: 88.9792098999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9506530762
validation[          , genome  6411] predictions:    4960/  10000 (49.60%), best:    4960/10000 (49.60%), error:     16087.29785, best error:     16087.29785 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1217.4493408203s, input_fired_time: 8.6348581314, output_fired_time: 6.7875385284, propagate_forward_time: 446.9138183594, propagate_backward_time: 743.6586303711, weight_update_time: 1.1997461319, other_time: 11.4544067383
epoch time: 316.0980224609s, input_fired_time: 0.9117466807, output_fired_time: 0.0000000000, propagate_forward_time: 313.1842041016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0020751953
validation[          , genome  6411] predictions:    4549/  10000 (45.49%), best:    4960/10000 (49.60%), error:     17703.72070, best error:     16087.29785 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1215.0629882813s, input_fired_time: 8.5942993164, output_fired_time: 6.7174692154, propagate_forward_time: 446.2320251465, propagate_backward_time: 742.1834106445, weight_update_time: 1.2027026415, other_time: 11.3357543945
epoch time: 267.8368835449s, input_fired_time: 0.9118582010, output_fired_time: 0.0000000000, propagate_forward_time: 264.9437866211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9812316895
validation[          , genome  6411] predictions:    4702/  10000 (47.02%), best:    4960/10000 (49.60%), error:     16769.53906, best error:     16087.29785 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1217.6342773438s, input_fired_time: 8.5541448593, output_fired_time: 6.7427845001, propagate_forward_time: 447.2276916504, propagate_backward_time: 743.6770019531, weight_update_time: 1.2006567717, other_time: 11.4326171875
epoch time: 93.5054092407s, input_fired_time: 0.9255082607, output_fired_time: 0.0000000000, propagate_forward_time: 90.5541534424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0257492065
validation[          , genome  6411] predictions:    4979/  10000 (49.79%), best:    4979/10000 (49.79%), error:     15586.90625, best error:     15586.90625 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1213.9396972656s, input_fired_time: 8.6131420135, output_fired_time: 6.7164635658, propagate_forward_time: 446.2332153320, propagate_backward_time: 740.9094848633, weight_update_time: 1.2113690376, other_time: 11.4674072266
epoch time: 91.8804550171s, input_fired_time: 0.9448379278, output_fired_time: 0.0000000000, propagate_forward_time: 88.9360504150, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9995651245
validation[          , genome  6411] predictions:    5454/  10000 (54.54%), best:    5454/10000 (54.54%), error:     14243.76367, best error:     14243.76367 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1219.0312500000s, input_fired_time: 8.6505765915, output_fired_time: 6.7663631439, propagate_forward_time: 447.8867492676, propagate_backward_time: 744.2470703125, weight_update_time: 1.2058906555, other_time: 11.4804687500
epoch time: 92.3693618774s, input_fired_time: 0.9520472884, output_fired_time: 0.0000000000, propagate_forward_time: 89.4181365967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9991760254
validation[          , genome  6411] predictions:    5169/  10000 (51.69%), best:    5454/10000 (54.54%), error:     15631.22656, best error:     14243.76367 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1872.8452148438s, input_fired_time: 8.6076431274, output_fired_time: 6.7463850975, propagate_forward_time: 445.6835937500, propagate_backward_time: 1400.3438720703, weight_update_time: 1.2018599510, other_time: 11.4637451172
epoch time: 92.3195800781s, input_fired_time: 0.9478455782, output_fired_time: 0.0000000000, propagate_forward_time: 89.3660202026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0057144165
validation[          , genome  6411] predictions:    5238/  10000 (52.38%), best:    5454/10000 (54.54%), error:     14737.42383, best error:     14243.76367 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1215.5541992188s, input_fired_time: 8.6411094666, output_fired_time: 6.7333159447, propagate_forward_time: 446.0274047852, propagate_backward_time: 742.7058105469, weight_update_time: 1.1957541704, other_time: 11.4465942383
epoch time: 92.1973800659s, input_fired_time: 0.9617117643, output_fired_time: 0.0000000000, propagate_forward_time: 89.2275619507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0081100464
validation[          , genome  6411] predictions:    5340/  10000 (53.40%), best:    5454/10000 (54.54%), error:     15364.81152, best error:     14243.76367 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1216.1621093750s, input_fired_time: 8.6349916458, output_fired_time: 6.7639145851, propagate_forward_time: 446.6552734375, propagate_backward_time: 742.6977539063, weight_update_time: 1.2063728571, other_time: 11.4101562500
epoch time: 91.8039474487s, input_fired_time: 0.9572927952, output_fired_time: 0.0000000000, propagate_forward_time: 88.8575210571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9891357422
validation[          , genome  6411] predictions:    5398/  10000 (53.98%), best:    5398/10000 (53.98%), error:     14076.25586, best error:     14076.25586 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2035.1854248047s, input_fired_time: 8.5846405029, output_fired_time: 6.7509760857, propagate_forward_time: 446.7870483398, propagate_backward_time: 1561.6539306641, weight_update_time: 1.2005555630, other_time: 11.4088134766
epoch time: 92.0210342407s, input_fired_time: 0.9395099282, output_fired_time: 0.0000000000, propagate_forward_time: 89.0678100586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0137176514
validation[          , genome  6411] predictions:    5387/  10000 (53.87%), best:    5398/10000 (53.98%), error:     14178.94043, best error:     14076.25586 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1373.8043212891s, input_fired_time: 8.5691413879, output_fired_time: 6.7462034225, propagate_forward_time: 605.0310058594, propagate_backward_time: 742.1257324219, weight_update_time: 1.1902590990, other_time: 11.3322753906
epoch time: 91.6463623047s, input_fired_time: 0.9201297760, output_fired_time: 0.0000000000, propagate_forward_time: 88.7639617920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9622726440
validation[          , genome  6411] predictions:    5119/  10000 (51.19%), best:    5398/10000 (53.98%), error:     15955.60742, best error:     14076.25586 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1210.9702148438s, input_fired_time: 8.5558195114, output_fired_time: 6.7007369995, propagate_forward_time: 444.6735534668, propagate_backward_time: 739.6101074219, weight_update_time: 1.1939245462, other_time: 11.4300537109
epoch time: 91.9187393188s, input_fired_time: 0.9390980601, output_fired_time: 0.0000000000, propagate_forward_time: 88.9941406250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9855041504
validation[          , genome  6411] predictions:    5510/  10000 (55.10%), best:    5398/10000 (53.98%), error:     14157.48438, best error:     14076.25586 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1210.9357910156s, input_fired_time: 8.5637826920, output_fired_time: 6.6762351990, propagate_forward_time: 444.5564880371, propagate_backward_time: 739.7873535156, weight_update_time: 1.2097814083, other_time: 11.3518066406
epoch time: 91.9347076416s, input_fired_time: 0.9542685151, output_fired_time: 0.0000000000, propagate_forward_time: 89.0179672241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9624710083
validation[          , genome  6411] predictions:    5406/  10000 (54.06%), best:    5398/10000 (53.98%), error:     14607.80957, best error:     14076.25586 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1387.8903808594s, input_fired_time: 8.5695409775, output_fired_time: 6.6941847801, propagate_forward_time: 623.5644531250, propagate_backward_time: 737.7655029297, weight_update_time: 1.1963815689, other_time: 11.2966308594
epoch time: 833.4337158203s, input_fired_time: 1.0119224787, output_fired_time: 0.0000000000, propagate_forward_time: 830.3193359375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1024780273
validation[          , genome  6411] predictions:    5649/  10000 (56.49%), best:    5649/10000 (56.49%), error:     13544.76074, best error:     13544.76074 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1219.3072509766s, input_fired_time: 8.6341037750, output_fired_time: 6.7418074608, propagate_forward_time: 447.9234619141, propagate_backward_time: 744.5204467773, weight_update_time: 1.2008267641, other_time: 11.4873657227
epoch time: 91.7526092529s, input_fired_time: 0.9196116328, output_fired_time: 0.0000000000, propagate_forward_time: 88.8778228760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9551773071
validation[          , genome  6411] predictions:    5301/  10000 (53.01%), best:    5649/10000 (56.49%), error:     14677.00586, best error:     13544.76074 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1211.2680664063s, input_fired_time: 8.5706367493, output_fired_time: 6.7721052170, propagate_forward_time: 444.5285949707, propagate_backward_time: 740.0664672852, weight_update_time: 1.2030454874, other_time: 11.3302612305
epoch time: 91.2864379883s, input_fired_time: 0.9251573682, output_fired_time: 0.0000000000, propagate_forward_time: 88.4364852905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9247970581
validation[          , genome  6411] predictions:    5452/  10000 (54.52%), best:    5649/10000 (56.49%), error:     13824.71484, best error:     13544.76074 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1384.5283203125s, input_fired_time: 10.0859317780, output_fired_time: 7.6750216484, propagate_forward_time: 506.5924682617, propagate_backward_time: 847.0746459961, weight_update_time: 1.3311681747, other_time: 13.1002197266
epoch time: 123.1273651123s, input_fired_time: 1.2187334299, output_fired_time: 0.0000000000, propagate_forward_time: 119.1975250244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7111053467
validation[          , genome  6411] predictions:    5455/  10000 (54.55%), best:    5649/10000 (56.49%), error:     13838.70215, best error:     13544.76074 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1383.9635009766s, input_fired_time: 10.2876482010, output_fired_time: 7.7201070786, propagate_forward_time: 507.5623168945, propagate_backward_time: 844.9348754883, weight_update_time: 1.4190564156, other_time: 13.4586181641
epoch time: 119.4641418457s, input_fired_time: 1.3105024099, output_fired_time: 0.0000000000, propagate_forward_time: 115.4681777954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6854629517
validation[          , genome  6411] predictions:    5583/  10000 (55.83%), best:    5649/10000 (56.49%), error:     13638.78125, best error:     13544.76074 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1432.1093750000s, input_fired_time: 10.3663835526, output_fired_time: 8.0370607376, propagate_forward_time: 524.2297973633, propagate_backward_time: 875.5767822266, weight_update_time: 1.5066618919, other_time: 13.8993530273
epoch time: 91.8163299561s, input_fired_time: 0.9349227548, output_fired_time: 0.0000000000, propagate_forward_time: 88.8807067871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0007019043
validation[          , genome  6411] predictions:    5468/  10000 (54.68%), best:    5649/10000 (56.49%), error:     14277.02930, best error:     13544.76074 on epoch:    16, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1470.0770263672s, input_fired_time: 8.7932119370, output_fired_time: 6.7696537971, propagate_forward_time: 701.9969482422, propagate_backward_time: 741.0130004883, weight_update_time: 1.2014486790, other_time: 11.5042114258
epoch time: 92.0459823608s, input_fired_time: 0.9640830755, output_fired_time: 0.0000000000, propagate_forward_time: 89.0344619751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0474395752
validation[          , genome  6411] predictions:    5559/  10000 (55.59%), best:    5649/10000 (56.49%), error:     13844.32813, best error:     13544.76074 on epoch:    16, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1376.5273437500s, input_fired_time: 8.6978158951, output_fired_time: 6.7240300179, propagate_forward_time: 610.2228393555, propagate_backward_time: 739.4077148438, weight_update_time: 1.1880770922, other_time: 11.4749145508
epoch time: 91.6500244141s, input_fired_time: 0.9561047554, output_fired_time: 0.0000000000, propagate_forward_time: 88.7171173096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9767990112
validation[          , genome  6411] predictions:    5661/  10000 (56.61%), best:    5661/10000 (56.61%), error:     13292.67285, best error:     13292.67285 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1211.5775146484s, input_fired_time: 8.7845563889, output_fired_time: 6.7486939430, propagate_forward_time: 445.3285827637, propagate_backward_time: 739.1071777344, weight_update_time: 1.1909711361, other_time: 11.6085205078
epoch time: 91.9963912964s, input_fired_time: 0.9896704555, output_fired_time: 0.0000000000, propagate_forward_time: 88.8541183472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1526031494
validation[          , genome  6411] predictions:    5636/  10000 (56.36%), best:    5661/10000 (56.61%), error:     13670.24023, best error:     13292.67285 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 8004.2294921875s, input_fired_time: 8.7718114853, output_fired_time: 6.7123570442, propagate_forward_time: 445.3870544434, propagate_backward_time: 7531.9003906250, weight_update_time: 1.1899472475, other_time: 11.4575195313
epoch time: 93.4214706421s, input_fired_time: 0.9796700478, output_fired_time: 0.0000000000, propagate_forward_time: 90.3772583008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0645446777
validation[          , genome  6411] predictions:    5729/  10000 (57.29%), best:    5661/10000 (56.61%), error:     13477.11621, best error:     13292.67285 on epoch:    23, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 458.4499816895s, input_fired_time: 4.8774642944, output_fired_time: 0.0000000000, propagate_forward_time: 443.2635192871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.3089904785
best training[          , genome  6411] predictions:   31981/  50000 (63.96%), best:    5661/10000 (56.61%), error:     53042.71484, best error:     13292.67285 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 91.5234527588s, input_fired_time: 0.9708226919, output_fired_time: 0.0000000000, propagate_forward_time: 88.4605331421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0920944214
   testing[          , genome  6411] predictions:    5661/  10000 (56.61%), best:    5661/10000 (56.61%), error:     13292.67285, best error:     13292.67285 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
03:52:04 (9404): called boinc_finish(0)

</stderr_txt>
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