Nameexact_genome_1542727803_167_6412_0
Workunit4101321
Created20 Nov 2018, 20:15:07 UTC
Sent20 Nov 2018, 20:15:19 UTC
Report deadline14 Dec 2018, 16:10:53 UTC
Received21 Nov 2018, 5:14:00 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60660
Run time7 hours 29 min 9 sec
CPU time7 hours 18 min 5 sec
Validate stateValid
Credit5,957.56
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.86 MB
Peak swap size537.71 MB
Peak disk usage10.34 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_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6412_0_r1219467696_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6412.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: 6412
read normal distribution: '0 0.745551347732544 0.236078783869743'
generator_str: '104811431'
read generator: 104811431
read generated_by_map:
1 split_edge 1
reading 74 nodes.
reading 339 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: 629130277
post shuffle 1: 1824430891
epoch time: 937.4052734375s, input_fired_time: 6.47035646438599, output_fired_time: 4.9087381362915, propagate_forward_time: 341.09033203125, propagate_backward_time: 575.3212890625, weight_update_time: 1.05989217758179, other_time: 9.61456298828125
epoch time: 70.2587966918945s, input_fired_time: 0.710020899772644, output_fired_time: 0, propagate_forward_time: 67.9131546020508, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.6356201171875
validation[          , genome  6412] predictions:    4856/  10000 (48.56%), best:    4856/10000 (48.56%), error:     17331.50781, best error:     17331.50781 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 938.7363891602s, input_fired_time: 6.4503898621, output_fired_time: 4.9903974533, propagate_forward_time: 341.7909545898, propagate_backward_time: 575.8250732422, weight_update_time: 1.0790023804, other_time: 9.6795654297
epoch time: 70.8405838013s, input_fired_time: 0.7076383233, output_fired_time: 0.0000000000, propagate_forward_time: 68.4480972290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6848449707
validation[          , genome  6412] predictions:    4840/  10000 (48.40%), best:    4840/10000 (48.40%), error:     16808.08398, best error:     16808.08398 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 938.2723999023s, input_fired_time: 6.4822649956, output_fired_time: 4.9655923843, propagate_forward_time: 341.1917724609, propagate_backward_time: 575.9437255859, weight_update_time: 1.0648691654, other_time: 9.6890869141
epoch time: 70.8241882324s, input_fired_time: 0.7228021622, output_fired_time: 0.0000000000, propagate_forward_time: 68.4509582520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6504287720
validation[          , genome  6412] predictions:    5202/  10000 (52.02%), best:    5202/10000 (52.02%), error:     15145.49805, best error:     15145.49805 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 938.0662841797s, input_fired_time: 6.4623398781, output_fired_time: 4.9182720184, propagate_forward_time: 341.6746520996, propagate_backward_time: 575.3840332031, weight_update_time: 1.0582207441, other_time: 9.6269531250
epoch time: 70.7662658691s, input_fired_time: 0.7140406370, output_fired_time: 0.0000000000, propagate_forward_time: 68.3646545410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6875686646
validation[          , genome  6412] predictions:    5056/  10000 (50.56%), best:    5202/10000 (52.02%), error:     15602.02637, best error:     15145.49805 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 937.2041625977s, input_fired_time: 6.4262762070, output_fired_time: 4.9829940796, propagate_forward_time: 341.2531433105, propagate_backward_time: 574.9218750000, weight_update_time: 1.0590516329, other_time: 9.6198730469
epoch time: 70.7523956299s, input_fired_time: 0.7119025588, output_fired_time: 0.0000000000, propagate_forward_time: 68.4067230225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6337738037
validation[          , genome  6412] predictions:    5292/  10000 (52.92%), best:    5292/10000 (52.92%), error:     14377.30957, best error:     14377.30957 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 937.1762084961s, input_fired_time: 6.3772659302, output_fired_time: 4.9316930771, propagate_forward_time: 341.3404541016, propagate_backward_time: 574.8244018555, weight_update_time: 1.0821102858, other_time: 9.7023925781
epoch time: 70.8651351929s, input_fired_time: 0.7179586887, output_fired_time: 0.0000000000, propagate_forward_time: 68.4745483398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6726303101
validation[          , genome  6412] predictions:    5244/  10000 (52.44%), best:    5292/10000 (52.92%), error:     14972.51367, best error:     14377.30957 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1161.2054443359s, input_fired_time: 6.3656077385, output_fired_time: 4.9098868370, propagate_forward_time: 565.5696411133, propagate_backward_time: 574.7113037109, weight_update_time: 1.0675456524, other_time: 9.6489868164
epoch time: 69.9336242676s, input_fired_time: 0.7019760013, output_fired_time: 0.0000000000, propagate_forward_time: 67.5636062622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6680450439
validation[          , genome  6412] predictions:    5275/  10000 (52.75%), best:    5292/10000 (52.92%), error:     14546.90723, best error:     14377.30957 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1114.3258056641s, input_fired_time: 6.4330406189, output_fired_time: 4.9402923584, propagate_forward_time: 341.4158020020, propagate_backward_time: 751.8490600586, weight_update_time: 1.0625952482, other_time: 9.6876831055
epoch time: 71.2249526978s, input_fired_time: 0.7431441545, output_fired_time: 0.0000000000, propagate_forward_time: 68.8061676025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6756439209
validation[          , genome  6412] predictions:    5442/  10000 (54.42%), best:    5442/10000 (54.42%), error:     14114.57813, best error:     14114.57813 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 935.5178833008s, input_fired_time: 6.4074211121, output_fired_time: 4.9051418304, propagate_forward_time: 340.4853515625, propagate_backward_time: 574.0268554688, weight_update_time: 1.0709924698, other_time: 9.6931152344
epoch time: 71.0594024658s, input_fired_time: 0.7218821049, output_fired_time: 0.0000000000, propagate_forward_time: 68.6538925171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6836242676
validation[          , genome  6412] predictions:    5376/  10000 (53.76%), best:    5442/10000 (54.42%), error:     14393.26563, best error:     14114.57813 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 937.4784545898s, input_fired_time: 6.3947587013, output_fired_time: 4.9026002884, propagate_forward_time: 341.5280761719, propagate_backward_time: 575.0558471680, weight_update_time: 1.0566601753, other_time: 9.5971679688
epoch time: 70.6228408813s, input_fired_time: 0.7137759328, output_fired_time: 0.0000000000, propagate_forward_time: 68.2756500244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6334152222
validation[          , genome  6412] predictions:    5314/  10000 (53.14%), best:    5442/10000 (54.42%), error:     14352.99902, best error:     14114.57813 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 938.5944213867s, input_fired_time: 6.4534330368, output_fired_time: 4.9209895134, propagate_forward_time: 341.5284118652, propagate_backward_time: 576.0582885742, weight_update_time: 1.0802897215, other_time: 9.6333618164
epoch time: 70.4689331055s, input_fired_time: 0.7120209932, output_fired_time: 0.0000000000, propagate_forward_time: 68.0648269653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6920852661
validation[          , genome  6412] predictions:    5444/  10000 (54.44%), best:    5442/10000 (54.42%), error:     14339.23340, best error:     14114.57813 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 933.2644042969s, input_fired_time: 6.4093899727, output_fired_time: 4.8759298325, propagate_forward_time: 339.9671936035, propagate_backward_time: 572.3643188477, weight_update_time: 1.0553590059, other_time: 9.6476440430
epoch time: 70.7014999390s, input_fired_time: 0.7346462011, output_fired_time: 0.0000000000, propagate_forward_time: 68.1929855347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7738647461
validation[          , genome  6412] predictions:    5356/  10000 (53.56%), best:    5442/10000 (54.42%), error:     14444.41602, best error:     14114.57813 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1597.2620849609s, input_fired_time: 6.4633893967, output_fired_time: 4.9197254181, propagate_forward_time: 558.6060791016, propagate_backward_time: 1017.5393676758, weight_update_time: 1.0816084146, other_time: 9.7335815430
epoch time: 70.5988006592s, input_fired_time: 0.6968317628, output_fired_time: 0.0000000000, propagate_forward_time: 68.2097091675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6922607422
validation[          , genome  6412] predictions:    5124/  10000 (51.24%), best:    5442/10000 (54.42%), error:     14788.15527, best error:     14114.57813 on epoch:     7, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 939.9321289063s, input_fired_time: 6.5057673454, output_fired_time: 4.9501342773, propagate_forward_time: 342.0530395508, propagate_backward_time: 576.7907104492, weight_update_time: 1.0587863922, other_time: 9.6325073242
epoch time: 70.7770767212s, input_fired_time: 0.6898926497, output_fired_time: 0.0000000000, propagate_forward_time: 68.3887939453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6983871460
validation[          , genome  6412] predictions:    5131/  10000 (51.31%), best:    5442/10000 (54.42%), error:     15013.00195, best error:     14114.57813 on epoch:     7, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 936.5762329102s, input_fired_time: 6.4485774040, output_fired_time: 4.9271121025, propagate_forward_time: 341.0150756836, propagate_backward_time: 574.4758300781, weight_update_time: 1.0634466410, other_time: 9.7096557617
epoch time: 70.0345840454s, input_fired_time: 0.6926427484, output_fired_time: 0.0000000000, propagate_forward_time: 67.6890945435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6528472900
validation[          , genome  6412] predictions:    5165/  10000 (51.65%), best:    5442/10000 (54.42%), error:     15129.96582, best error:     14114.57813 on epoch:     7, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 938.4370727539s, input_fired_time: 6.4542841911, output_fired_time: 4.9261083603, propagate_forward_time: 341.5200805664, propagate_backward_time: 575.8989257813, weight_update_time: 1.0617973804, other_time: 9.6376953125
epoch time: 71.4512634277s, input_fired_time: 0.7191153169, output_fired_time: 0.0000000000, propagate_forward_time: 69.0136566162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7184906006
validation[          , genome  6412] predictions:    5398/  10000 (53.98%), best:    5442/10000 (54.42%), error:     14325.11230, best error:     14114.57813 on epoch:     7, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1757.6887207031s, input_fired_time: 6.4251866341, output_fired_time: 4.8995108604, propagate_forward_time: 716.3666992188, propagate_backward_time: 1020.3140869141, weight_update_time: 1.0755841732, other_time: 9.6832275391
epoch time: 70.3152389526s, input_fired_time: 0.7218168974, output_fired_time: 0.0000000000, propagate_forward_time: 67.9257888794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6676330566
validation[          , genome  6412] predictions:    5446/  10000 (54.46%), best:    5442/10000 (54.42%), error:     14147.28516, best error:     14114.57813 on epoch:     7, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1095.0113525391s, input_fired_time: 6.4950170517, output_fired_time: 4.9519476891, propagate_forward_time: 341.0309448242, propagate_backward_time: 732.8997192383, weight_update_time: 1.0744872093, other_time: 9.6337890625
epoch time: 70.0917205811s, input_fired_time: 0.7154304981, output_fired_time: 0.0000000000, propagate_forward_time: 67.7560958862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6201934814
validation[          , genome  6412] predictions:    5486/  10000 (54.86%), best:    5486/10000 (54.86%), error:     14088.25879, best error:     14088.25879 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 936.4332885742s, input_fired_time: 6.4513888359, output_fired_time: 4.9130682945, propagate_forward_time: 340.8894958496, propagate_backward_time: 574.5392456055, weight_update_time: 1.0612913370, other_time: 9.6400756836
epoch time: 70.2297058105s, input_fired_time: 0.7147900462, output_fired_time: 0.0000000000, propagate_forward_time: 67.8521194458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6627960205
validation[          , genome  6412] predictions:    5524/  10000 (55.24%), best:    5524/10000 (55.24%), error:     13393.63477, best error:     13393.63477 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 933.8880615234s, input_fired_time: 6.4124221802, output_fired_time: 4.9010128975, propagate_forward_time: 340.0577392578, propagate_backward_time: 572.8807983398, weight_update_time: 1.0657181740, other_time: 9.6361083984
epoch time: 70.3749389648s, input_fired_time: 0.7138508558, output_fired_time: 0.0000000000, propagate_forward_time: 67.9960937500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6649932861
validation[          , genome  6412] predictions:    5565/  10000 (55.65%), best:    5565/10000 (55.65%), error:     13305.27539, best error:     13305.27539 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 933.3550415039s, input_fired_time: 6.4115533829, output_fired_time: 4.8838319778, propagate_forward_time: 339.6696472168, propagate_backward_time: 572.8557128906, weight_update_time: 1.0568107367, other_time: 9.5343017578
epoch time: 70.9074325562s, input_fired_time: 0.7451196909, output_fired_time: 0.0000000000, propagate_forward_time: 68.4265518188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7357635498
validation[          , genome  6412] predictions:    5600/  10000 (56.00%), best:    5565/10000 (55.65%), error:     13654.00488, best error:     13305.27539 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1151.8663330078s, input_fired_time: 6.4416503906, output_fired_time: 4.8934102058, propagate_forward_time: 340.3143005371, propagate_backward_time: 790.6822509766, weight_update_time: 1.0548306704, other_time: 9.5346679688
epoch time: 810.9899291992s, input_fired_time: 0.7114501595, output_fired_time: 0.0000000000, propagate_forward_time: 808.5877075195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6907958984
validation[          , genome  6412] predictions:    5553/  10000 (55.53%), best:    5565/10000 (55.65%), error:     13978.80762, best error:     13305.27539 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 941.2315673828s, input_fired_time: 6.6173210144, output_fired_time: 4.9418120384, propagate_forward_time: 342.7471008301, propagate_backward_time: 577.2650756836, weight_update_time: 1.0745625496, other_time: 9.6602172852
epoch time: 70.4992828369s, input_fired_time: 0.7292267084, output_fired_time: 0.0000000000, propagate_forward_time: 68.1013565063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6687011719
validation[          , genome  6412] predictions:    5527/  10000 (55.27%), best:    5565/10000 (55.65%), error:     14158.62695, best error:     13305.27539 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 931.7324218750s, input_fired_time: 6.4189043045, output_fired_time: 4.8712773323, propagate_forward_time: 339.1227416992, propagate_backward_time: 571.7225952148, weight_update_time: 1.0733304024, other_time: 9.5969238281
epoch time: 70.2281494141s, input_fired_time: 0.7439128160, output_fired_time: 0.0000000000, propagate_forward_time: 67.8234710693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6607666016
validation[          , genome  6412] predictions:    5386/  10000 (53.86%), best:    5565/10000 (55.65%), error:     14385.80566, best error:     13305.27539 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 931.4219970703s, input_fired_time: 6.4214138985, output_fired_time: 4.8637290001, propagate_forward_time: 339.3382873535, propagate_backward_time: 571.3250732422, weight_update_time: 1.0599579811, other_time: 9.4735107422
epoch time: 73.6037216187s, input_fired_time: 0.7428576946, output_fired_time: 0.0000000000, propagate_forward_time: 71.1076812744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7531814575
validation[          , genome  6412] predictions:    5535/  10000 (55.35%), best:    5565/10000 (55.65%), error:     13801.98340, best error:     13305.27539 on epoch:    19, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1147.0687255859s, input_fired_time: 8.1840448380, output_fired_time: 6.0736641884, propagate_forward_time: 416.8125610352, propagate_backward_time: 703.8750000000, weight_update_time: 1.3007572889, other_time: 12.1234741211
epoch time: 96.8808670044s, input_fired_time: 1.1409053802, output_fired_time: 0.0000000000, propagate_forward_time: 93.3922271729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3477325439
validation[          , genome  6412] predictions:    5783/  10000 (57.83%), best:    5783/10000 (57.83%), error:     12650.95215, best error:     12650.95215 on epoch:    25, 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: 426.2505187988s, input_fired_time: 4.6526308060, output_fired_time: 0.0000000000, propagate_forward_time: 410.7769470215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.8209533691
best training[          , genome  6412] predictions:   33114/  50000 (66.23%), best:    5783/10000 (57.83%), error:     49344.95313, best error:     12650.95215 on epoch:    25, 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: 78.1878128052s, input_fired_time: 0.8125562072, output_fired_time: 0.0000000000, propagate_forward_time: 75.4036331177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9716262817
   testing[          , genome  6412] predictions:    5783/  10000 (57.83%), best:    5783/10000 (57.83%), error:     12650.95215, best error:     12650.95215 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
23:35:38 (8600): called boinc_finish(0)

</stderr_txt>
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