Nameexact_genome_1512185335_36_9307_1
Workunit2564917
Created5 Dec 2017, 18:28:12 UTC
Sent5 Dec 2017, 18:44:06 UTC
Report deadline29 Dec 2017, 12:53:57 UTC
Received7 Dec 2017, 18:11:04 UTC
Server stateOver
OutcomeComputation error
Client stateCompute error
Exit status194 (0xc2) EXIT_ABORTED_BY_CLIENT
Computer ID57938
Run time7 hours 54 min 23 sec
CPU time7 hours 51 min 23 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS2.90 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size162.19 MB
Peak swap size167.13 MB
Peak disk usage4.12 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code 194 (0xc2)</message>
<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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_9307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_9307_1_r474926554_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_9307.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: 100
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: 9307
read normal distribution: '1 0 0'
generator_str: '54396028'
read generator: 54396028
read generated_by_map:
1 disable_node 1
reading 52 nodes.
reading 165 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1553492621
post shuffle 1: 529753840
epoch time: 430.346466064453s, input_fired_time: 4.94851446151733, output_fired_time: 5.30786085128784, propagate_forward_time: 161.714096069336, propagate_backward_time: 252.290481567383, weight_update_time: 0.460384368896484, other_time: 6.08549499511719
epoch time: 34.7707405090332s, input_fired_time: 0.614061236381531, output_fired_time: 0, propagate_forward_time: 33.0547142028809, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.10196685791016
validation[          , genome  9307] predictions:    9688/  10000 (96.88%), best:    9688/10000 (96.88%), error:       962.37506, best error:       962.37506 on epoch:     0, epoch:    0/100, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 432.0504455566s, input_fired_time: 5.0104613304, output_fired_time: 5.3235440254, propagate_forward_time: 162.4417419434, propagate_backward_time: 253.2313842773, weight_update_time: 0.4587658048, other_time: 6.0433044434
epoch time: 35.0541877747s, input_fired_time: 0.6351788640, output_fired_time: 0.0000000000, propagate_forward_time: 33.2901840210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1288261414
validation[          , genome  9307] predictions:    9780/  10000 (97.80%), best:    9780/10000 (97.80%), error:       809.12604, best error:       809.12604 on epoch:     1, epoch:    1/100, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 435.3917846680s, input_fired_time: 5.0161404610, output_fired_time: 5.3449497223, propagate_forward_time: 164.0159759521, propagate_backward_time: 254.8896026611, weight_update_time: 0.4686515927, other_time: 6.1251068115
epoch time: 34.6462936401s, input_fired_time: 0.6288470030, output_fired_time: 0.0000000000, propagate_forward_time: 32.9065132141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1109352112
validation[          , genome  9307] predictions:    9769/  10000 (97.69%), best:    9769/10000 (97.69%), error:       731.64618, best error:       731.64618 on epoch:     2, epoch:    2/100, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 429.5995178223s, input_fired_time: 4.9473514557, output_fired_time: 5.2968382835, propagate_forward_time: 160.6779785156, propagate_backward_time: 252.6564636230, weight_update_time: 0.4553890228, other_time: 6.0208740234
epoch time: 34.0891304016s, input_fired_time: 0.6069537997, output_fired_time: 0.0000000000, propagate_forward_time: 32.4496307373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0325469971
validation[          , genome  9307] predictions:    9787/  10000 (97.87%), best:    9787/10000 (97.87%), error:       731.03864, best error:       731.03864 on epoch:     3, epoch:    3/100, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 435.4573669434s, input_fired_time: 5.0145654678, output_fired_time: 5.3378152847, propagate_forward_time: 163.8287658691, propagate_backward_time: 255.2336425781, weight_update_time: 0.4572711587, other_time: 6.0425720215
epoch time: 34.7516479492s, input_fired_time: 0.6142151356, output_fired_time: 0.0000000000, propagate_forward_time: 33.0680046082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0694274902
validation[          , genome  9307] predictions:    9753/  10000 (97.53%), best:    9787/10000 (97.87%), error:       800.26074, best error:       731.03864 on epoch:     3, epoch:    4/100, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 432.1590270996s, input_fired_time: 4.9695019722, output_fired_time: 5.3151860237, propagate_forward_time: 161.5137786865, propagate_backward_time: 254.3405609131, weight_update_time: 0.4560829103, other_time: 6.0199737549
epoch time: 33.0734825134s, input_fired_time: 0.6239464879, output_fired_time: 0.0000000000, propagate_forward_time: 31.2692775726, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1802577972
validation[          , genome  9307] predictions:    9809/  10000 (98.09%), best:    9809/10000 (98.09%), error:       621.23706, best error:       621.23706 on epoch:     5, epoch:    5/100, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 434.5119323730s, input_fired_time: 4.9945049286, output_fired_time: 5.3164906502, propagate_forward_time: 163.1973266602, propagate_backward_time: 255.0440826416, weight_update_time: 0.4559143484, other_time: 5.9595184326
epoch time: 34.6426086426s, input_fired_time: 0.6105967164, output_fired_time: 0.0000000000, propagate_forward_time: 32.9813270569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0506858826
validation[          , genome  9307] predictions:    9758/  10000 (97.58%), best:    9809/10000 (98.09%), error:       793.75879, best error:       621.23706 on epoch:     5, epoch:    6/100, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 432.6520385742s, input_fired_time: 4.9868564606, output_fired_time: 5.3053097725, propagate_forward_time: 161.5799713135, propagate_backward_time: 254.6702575684, weight_update_time: 0.4608243406, other_time: 6.1096496582
epoch time: 34.5104408264s, input_fired_time: 0.6181505322, output_fired_time: 0.0000000000, propagate_forward_time: 32.8132858276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0790061951
validation[          , genome  9307] predictions:    9784/  10000 (97.84%), best:    9809/10000 (98.09%), error:       747.65393, best error:       621.23706 on epoch:     5, epoch:    7/100, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 435.5382385254s, input_fired_time: 5.0054793358, output_fired_time: 5.3333644867, propagate_forward_time: 162.9694519043, propagate_backward_time: 256.1512145996, weight_update_time: 0.4661329687, other_time: 6.0787048340
epoch time: 34.9399070740s, input_fired_time: 0.6254847050, output_fired_time: 0.0000000000, propagate_forward_time: 33.1942176819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1202049255
validation[          , genome  9307] predictions:    9767/  10000 (97.67%), best:    9809/10000 (98.09%), error:       740.64716, best error:       621.23706 on epoch:     5, epoch:    8/100, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 434.5416564941s, input_fired_time: 5.0006074905, output_fired_time: 5.3328337669, propagate_forward_time: 162.2407836914, propagate_backward_time: 255.8257293701, weight_update_time: 0.4653031230, other_time: 6.1417083740
epoch time: 32.3492584229s, input_fired_time: 0.6095938683, output_fired_time: 0.0000000000, propagate_forward_time: 30.5787181854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1609458923
validation[          , genome  9307] predictions:    9783/  10000 (97.83%), best:    9809/10000 (98.09%), error:       699.17261, best error:       621.23706 on epoch:     5, epoch:    9/100, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 433.7796630859s, input_fired_time: 5.0043787956, output_fired_time: 5.3107748032, propagate_forward_time: 161.6417236328, propagate_backward_time: 255.7130279541, weight_update_time: 0.4665826261, other_time: 6.1097869873
epoch time: 34.8066215515s, input_fired_time: 0.6360380054, output_fired_time: 0.0000000000, propagate_forward_time: 33.0595397949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1110420227
validation[          , genome  9307] predictions:    9778/  10000 (97.78%), best:    9809/10000 (98.09%), error:       715.22345, best error:       621.23706 on epoch:     5, epoch:   10/100, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 433.8075256348s, input_fired_time: 4.9784798622, output_fired_time: 5.2884559631, propagate_forward_time: 161.4136047363, propagate_backward_time: 256.1268615723, weight_update_time: 0.4587865174, other_time: 6.0001220703
epoch time: 34.6021614075s, input_fired_time: 0.6093912125, output_fired_time: 0.0000000000, propagate_forward_time: 32.9634704590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0293006897
validation[          , genome  9307] predictions:    9798/  10000 (97.98%), best:    9809/10000 (98.09%), error:       667.71954, best error:       621.23706 on epoch:     5, epoch:   11/100, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 433.6962890625s, input_fired_time: 4.9971051216, output_fired_time: 5.3110723495, propagate_forward_time: 161.4241790771, propagate_backward_time: 255.8085479736, weight_update_time: 0.4661476016, other_time: 6.1553802490
epoch time: 34.6357727051s, input_fired_time: 0.6166735888, output_fired_time: 0.0000000000, propagate_forward_time: 32.9645919800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0545082092
validation[          , genome  9307] predictions:    9822/  10000 (98.22%), best:    9822/10000 (98.22%), error:       584.09814, best error:       584.09814 on epoch:    12, epoch:   12/100, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 436.9385681152s, input_fired_time: 5.0268464088, output_fired_time: 5.3340325356, propagate_forward_time: 163.2325897217, propagate_backward_time: 257.1534118652, weight_update_time: 0.4708032012, other_time: 6.1916809082
epoch time: 34.5604133606s, input_fired_time: 0.6278654337, output_fired_time: 0.0000000000, propagate_forward_time: 32.8439979553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0885505676
validation[          , genome  9307] predictions:    9821/  10000 (98.21%), best:    9822/10000 (98.22%), error:       630.77502, best error:       584.09814 on epoch:    12, epoch:   13/100, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 437.3059387207s, input_fired_time: 4.9614953995, output_fired_time: 5.2908620834, propagate_forward_time: 163.0901489258, propagate_backward_time: 258.0800476074, weight_update_time: 0.4610632658, other_time: 5.8833923340
epoch time: 35.1280593872s, input_fired_time: 0.6425461173, output_fired_time: 0.0000000000, propagate_forward_time: 33.3678550720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1176567078
validation[          , genome  9307] predictions:    9760/  10000 (97.60%), best:    9822/10000 (98.22%), error:       726.56049, best error:       584.09814 on epoch:    12, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 436.0285949707s, input_fired_time: 5.0047469139, output_fired_time: 5.2853097916, propagate_forward_time: 161.5862731934, propagate_backward_time: 258.1525878906, weight_update_time: 0.4692663252, other_time: 5.9996643066
epoch time: 34.6479682922s, input_fired_time: 0.6260845065, output_fired_time: 0.0000000000, propagate_forward_time: 32.9578933716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0639915466
validation[          , genome  9307] predictions:    9820/  10000 (98.20%), best:    9822/10000 (98.22%), error:       590.01666, best error:       584.09814 on epoch:    12, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 437.3371582031s, input_fired_time: 5.0161895752, output_fired_time: 5.3090195656, propagate_forward_time: 162.5668334961, propagate_backward_time: 258.4213256836, weight_update_time: 0.4758499563, other_time: 6.0238037109
epoch time: 32.5672683716s, input_fired_time: 0.6180205941, output_fired_time: 0.0000000000, propagate_forward_time: 30.8102245331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1390228271
validation[          , genome  9307] predictions:    9772/  10000 (97.72%), best:    9822/10000 (98.22%), error:       723.24152, best error:       584.09814 on epoch:    12, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 437.0291748047s, input_fired_time: 4.9969329834, output_fired_time: 5.2937135696, propagate_forward_time: 162.5972595215, propagate_backward_time: 258.1652526855, weight_update_time: 0.4748419523, other_time: 5.9760131836
epoch time: 34.6741828918s, input_fired_time: 0.6134077907, output_fired_time: 0.0000000000, propagate_forward_time: 33.0360107422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0247650146
validation[          , genome  9307] predictions:    9816/  10000 (98.16%), best:    9822/10000 (98.22%), error:       641.03046, best error:       584.09814 on epoch:    12, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 435.7254638672s, input_fired_time: 5.0219798088, output_fired_time: 5.3120679855, propagate_forward_time: 161.5561370850, propagate_backward_time: 257.7018432617, weight_update_time: 0.4825061262, other_time: 6.1334228516
epoch time: 31.7799186707s, input_fired_time: 0.6094527245, output_fired_time: 0.0000000000, propagate_forward_time: 30.0359821320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1344833374
validation[          , genome  9307] predictions:    9814/  10000 (98.14%), best:    9814/10000 (98.14%), error:       581.03076, best error:       581.03076 on epoch:    18, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 440.0794067383s, input_fired_time: 5.0434842110, output_fired_time: 5.3276391029, propagate_forward_time: 163.7188720703, propagate_backward_time: 259.9720153809, weight_update_time: 0.4907715023, other_time: 6.0173950195
epoch time: 35.1498069763s, input_fired_time: 0.6368775964, output_fired_time: 0.0000000000, propagate_forward_time: 33.4168472290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0960807800
validation[          , genome  9307] predictions:    9813/  10000 (98.13%), best:    9814/10000 (98.14%), error:       618.57001, best error:       581.03076 on epoch:    18, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 436.3485107422s, input_fired_time: 5.0180816650, output_fired_time: 5.3032817841, propagate_forward_time: 161.5952148438, propagate_backward_time: 258.3318786621, weight_update_time: 0.5014482737, other_time: 6.1000671387
epoch time: 34.6775016785s, input_fired_time: 0.6298869252, output_fired_time: 0.0000000000, propagate_forward_time: 32.9444007874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1032142639
validation[          , genome  9307] predictions:    9805/  10000 (98.05%), best:    9814/10000 (98.14%), error:       631.85669, best error:       581.03076 on epoch:    18, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 438.5452270508s, input_fired_time: 4.9871630669, output_fired_time: 5.2949657440, propagate_forward_time: 162.9456939697, propagate_backward_time: 259.3677062988, weight_update_time: 0.5079294443, other_time: 5.9497375488
epoch time: 34.2122077942s, input_fired_time: 0.6274927258, output_fired_time: 0.0000000000, propagate_forward_time: 32.4724197388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1122970581
validation[          , genome  9307] predictions:    9817/  10000 (98.17%), best:    9814/10000 (98.14%), error:       606.01154, best error:       581.03076 on epoch:    18, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 439.7856445313s, input_fired_time: 5.0337495804, output_fired_time: 5.3179283142, propagate_forward_time: 163.2936859131, propagate_backward_time: 260.1044006348, weight_update_time: 0.5234281421, other_time: 6.0358581543
epoch time: 34.8274192810s, input_fired_time: 0.6368955374, output_fired_time: 0.0000000000, propagate_forward_time: 33.0986976624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0918273926
validation[          , genome  9307] predictions:    9835/  10000 (98.35%), best:    9835/10000 (98.35%), error:       557.65106, best error:       557.65106 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 438.9539794922s, input_fired_time: 5.0248403549, output_fired_time: 5.3105754852, propagate_forward_time: 162.9009857178, propagate_backward_time: 259.6900024414, weight_update_time: 0.5338112116, other_time: 6.0275878906
epoch time: 34.4560089111s, input_fired_time: 0.6240791082, output_fired_time: 0.0000000000, propagate_forward_time: 32.7581520081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0737762451
validation[          , genome  9307] predictions:    9840/  10000 (98.40%), best:    9840/10000 (98.40%), error:       555.16614, best error:       555.16614 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 436.7514343262s, input_fired_time: 4.9989180565, output_fired_time: 5.2893548012, propagate_forward_time: 161.5126190186, propagate_backward_time: 258.8783569336, weight_update_time: 0.5474496484, other_time: 6.0721435547
epoch time: 33.8314743042s, input_fired_time: 0.6108732820, output_fired_time: 0.0000000000, propagate_forward_time: 32.1546440125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0659561157
validation[          , genome  9307] predictions:    9762/  10000 (97.62%), best:    9840/10000 (98.40%), error:       768.43573, best error:       555.16614 on epoch:    23, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 437.0391540527s, input_fired_time: 5.0163340569, output_fired_time: 5.2934942245, propagate_forward_time: 162.4018402100, propagate_backward_time: 258.2312622070, weight_update_time: 0.5634977221, other_time: 6.0962524414
epoch time: 34.6025085449s, input_fired_time: 0.6218852997, output_fired_time: 0.0000000000, propagate_forward_time: 32.9372749329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0433464050
validation[          , genome  9307] predictions:    9841/  10000 (98.41%), best:    9841/10000 (98.41%), error:       529.08307, best error:       529.08307 on epoch:    25, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 439.9267883301s, input_fired_time: 5.0230622292, output_fired_time: 5.3100972176, propagate_forward_time: 163.4128112793, propagate_backward_time: 260.1919250488, weight_update_time: 0.5777831674, other_time: 5.9888916016
epoch time: 34.7584190369s, input_fired_time: 0.6359077096, output_fired_time: 0.0000000000, propagate_forward_time: 33.0565376282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0659751892
validation[          , genome  9307] predictions:    9841/  10000 (98.41%), best:    9841/10000 (98.41%), error:       503.84723, best error:       503.84723 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 437.1570434570s, input_fired_time: 5.0161666870, output_fired_time: 5.2892775536, propagate_forward_time: 161.6178131104, propagate_backward_time: 259.1368103027, weight_update_time: 0.5940427184, other_time: 6.0969543457
epoch time: 34.1357955933s, input_fired_time: 0.6179199815, output_fired_time: 0.0000000000, propagate_forward_time: 32.4941329956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0237426758
validation[          , genome  9307] predictions:    9822/  10000 (98.22%), best:    9841/10000 (98.41%), error:       565.91199, best error:       503.84723 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 435.9024047852s, input_fired_time: 5.0203757286, output_fired_time: 5.2974925041, propagate_forward_time: 160.6776733398, propagate_backward_time: 258.6926269531, weight_update_time: 0.6130759716, other_time: 6.2142333984
epoch time: 33.5493125916s, input_fired_time: 0.6349862218, output_fired_time: 0.0000000000, propagate_forward_time: 31.7621078491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1522178650
validation[          , genome  9307] predictions:    9837/  10000 (98.37%), best:    9841/10000 (98.41%), error:       507.95572, best error:       503.84723 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 438.9925537109s, input_fired_time: 5.0087242126, output_fired_time: 5.3042020798, propagate_forward_time: 162.4311370850, propagate_backward_time: 260.1855468750, weight_update_time: 0.6206986308, other_time: 6.0629272461
epoch time: 33.6055030823s, input_fired_time: 0.6236288548, output_fired_time: 0.0000000000, propagate_forward_time: 31.9090785980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0727939606
validation[          , genome  9307] predictions:    9822/  10000 (98.22%), best:    9841/10000 (98.41%), error:       598.21332, best error:       503.84723 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 440.1362304688s, input_fired_time: 5.0437674522, output_fired_time: 5.3139371872, propagate_forward_time: 163.6699523926, propagate_backward_time: 260.0105590820, weight_update_time: 0.6358220577, other_time: 6.0980224609
epoch time: 34.6330718994s, input_fired_time: 0.6339434385, output_fired_time: 0.0000000000, propagate_forward_time: 32.9129829407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0861473083
validation[          , genome  9307] predictions:    9825/  10000 (98.25%), best:    9841/10000 (98.41%), error:       558.53821, best error:       503.84723 on epoch:    26, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 441.4166870117s, input_fired_time: 5.0276064873, output_fired_time: 5.3217349052, propagate_forward_time: 163.6985321045, propagate_backward_time: 261.2678222656, weight_update_time: 0.6437946558, other_time: 6.1009521484
epoch time: 33.9946899414s, input_fired_time: 0.6182205081, output_fired_time: 0.0000000000, propagate_forward_time: 32.3273544312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0491142273
validation[          , genome  9307] predictions:    9839/  10000 (98.39%), best:    9841/10000 (98.41%), error:       514.85046, best error:       503.84723 on epoch:    26, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 441.5922851563s, input_fired_time: 5.0715079308, output_fired_time: 5.3381886482, propagate_forward_time: 163.4959259033, propagate_backward_time: 261.4718017578, weight_update_time: 0.6515816450, other_time: 6.2148437500
epoch time: 34.3483200073s, input_fired_time: 0.6277644038, output_fired_time: 0.0000000000, propagate_forward_time: 32.6762657166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0442886353
validation[          , genome  9307] predictions:    9758/  10000 (97.58%), best:    9841/10000 (98.41%), error:       704.77539, best error:       503.84723 on epoch:    26, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 439.1534423828s, input_fired_time: 5.0547347069, output_fired_time: 5.3154516220, propagate_forward_time: 161.7523040771, propagate_backward_time: 260.7716064453, weight_update_time: 0.6569310427, other_time: 6.2593383789
epoch time: 34.6154556274s, input_fired_time: 0.6284616590, output_fired_time: 0.0000000000, propagate_forward_time: 32.9253273010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0616683960
validation[          , genome  9307] predictions:    9824/  10000 (98.24%), best:    9841/10000 (98.41%), error:       561.44409, best error:       503.84723 on epoch:    26, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 439.4449768066s, input_fired_time: 5.0383825302, output_fired_time: 5.3073740005, propagate_forward_time: 162.8399963379, propagate_backward_time: 260.0788269043, weight_update_time: 0.6496389508, other_time: 6.1803894043
epoch time: 35.1069183350s, input_fired_time: 0.6444947124, output_fired_time: 0.0000000000, propagate_forward_time: 33.3750305176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0873947144
validation[          , genome  9307] predictions:    9829/  10000 (98.29%), best:    9841/10000 (98.41%), error:       512.20911, best error:       503.84723 on epoch:    26, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 441.0402832031s, input_fired_time: 5.0896663666, output_fired_time: 5.3354234695, propagate_forward_time: 162.9184570313, propagate_backward_time: 261.4724731445, weight_update_time: 0.6539801955, other_time: 6.2242736816
epoch time: 34.8132743835s, input_fired_time: 0.6456409097, output_fired_time: 0.0000000000, propagate_forward_time: 33.0518569946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1157760620
validation[          , genome  9307] predictions:    9839/  10000 (98.39%), best:    9841/10000 (98.41%), error:       548.84766, best error:       503.84723 on epoch:    26, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 441.1621398926s, input_fired_time: 5.0580997467, output_fired_time: 5.3055295944, propagate_forward_time: 163.4024200439, propagate_backward_time: 261.2669982910, weight_update_time: 0.6486299038, other_time: 6.1290588379
epoch time: 34.7883110046s, input_fired_time: 0.6450867653, output_fired_time: 0.0000000000, propagate_forward_time: 33.0680007935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0752220154
validation[          , genome  9307] predictions:    9855/  10000 (98.55%), best:    9855/10000 (98.55%), error:       497.82095, best error:       497.82095 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 440.3366088867s, input_fired_time: 5.0820212364, output_fired_time: 5.3308482170, propagate_forward_time: 163.2173461914, propagate_backward_time: 260.5029907227, weight_update_time: 0.6532977819, other_time: 6.2033996582
epoch time: 33.6386070251s, input_fired_time: 0.6305143833, output_fired_time: 0.0000000000, propagate_forward_time: 31.8826885223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1254024506
validation[          , genome  9307] predictions:    9854/  10000 (98.54%), best:    9854/10000 (98.54%), error:       435.07150, best error:       435.07150 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 440.0853271484s, input_fired_time: 5.0763268471, output_fired_time: 5.3183140755, propagate_forward_time: 162.5220031738, propagate_backward_time: 260.9691162109, weight_update_time: 0.6553221941, other_time: 6.1995544434
epoch time: 32.7339744568s, input_fired_time: 0.6365474463, output_fired_time: 0.0000000000, propagate_forward_time: 30.9453353882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1520919800
validation[          , genome  9307] predictions:    9845/  10000 (98.45%), best:    9854/10000 (98.54%), error:       484.96039, best error:       435.07150 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 442.8485717773s, input_fired_time: 5.0835161209, output_fired_time: 5.3398003578, propagate_forward_time: 163.9620971680, propagate_backward_time: 262.3029479980, weight_update_time: 0.6576598287, other_time: 6.1601867676
epoch time: 34.1802406311s, input_fired_time: 0.6296408772, output_fired_time: 0.0000000000, propagate_forward_time: 32.4939041138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0566940308
validation[          , genome  9307] predictions:    9807/  10000 (98.07%), best:    9854/10000 (98.54%), error:       632.38770, best error:       435.07150 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 437.5911560059s, input_fired_time: 5.0105843544, output_fired_time: 5.2966589928, propagate_forward_time: 161.1038970947, propagate_backward_time: 260.0149230957, weight_update_time: 0.6487704515, other_time: 6.1650695801
epoch time: 34.5064163208s, input_fired_time: 0.6456472278, output_fired_time: 0.0000000000, propagate_forward_time: 32.7567405701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1040267944
validation[          , genome  9307] predictions:    9864/  10000 (98.64%), best:    9854/10000 (98.54%), error:       440.76816, best error:       435.07150 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 438.5082702637s, input_fired_time: 5.0468001366, output_fired_time: 5.2878408432, propagate_forward_time: 161.9969024658, propagate_backward_time: 260.0314331055, weight_update_time: 0.6517199874, other_time: 6.1452636719
epoch time: 34.3716316223s, input_fired_time: 0.6349901557, output_fired_time: 0.0000000000, propagate_forward_time: 32.6724700928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0641708374
validation[          , genome  9307] predictions:    9832/  10000 (98.32%), best:    9854/10000 (98.54%), error:       573.84174, best error:       435.07150 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 439.7646179199s, input_fired_time: 5.0834288597, output_fired_time: 5.3048157692, propagate_forward_time: 162.2381896973, propagate_backward_time: 261.0047607422, weight_update_time: 0.6496499777, other_time: 6.1334228516
epoch time: 34.0085296631s, input_fired_time: 0.6289804578, output_fired_time: 0.0000000000, propagate_forward_time: 32.3322982788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0472526550
validation[          , genome  9307] predictions:    9819/  10000 (98.19%), best:    9854/10000 (98.54%), error:       519.91095, best error:       435.07150 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 439.3243713379s, input_fired_time: 5.1038217545, output_fired_time: 5.3247303963, propagate_forward_time: 162.1443634033, propagate_backward_time: 260.4653930664, weight_update_time: 0.6551145911, other_time: 6.2860717773
epoch time: 34.2715377808s, input_fired_time: 0.6272590756, output_fired_time: 0.0000000000, propagate_forward_time: 32.6027145386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0415649414
validation[          , genome  9307] predictions:    9845/  10000 (98.45%), best:    9854/10000 (98.54%), error:       489.07489, best error:       435.07150 on epoch:    37, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 435.8213806152s, input_fired_time: 5.0297188759, output_fired_time: 5.2891783714, propagate_forward_time: 160.4468994141, propagate_backward_time: 258.9038085938, weight_update_time: 0.6448277235, other_time: 6.1517639160
epoch time: 34.4019126892s, input_fired_time: 0.6263352633, output_fired_time: 0.0000000000, propagate_forward_time: 32.7465667725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0290107727
validation[          , genome  9307] predictions:    9845/  10000 (98.45%), best:    9854/10000 (98.54%), error:       484.00348, best error:       435.07150 on epoch:    37, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 438.9458312988s, input_fired_time: 5.0902938843, output_fired_time: 5.3093733788, propagate_forward_time: 161.8452148438, propagate_backward_time: 260.4556884766, weight_update_time: 0.6533850431, other_time: 6.2452392578
epoch time: 34.8790092468s, input_fired_time: 0.6521990895, output_fired_time: 0.0000000000, propagate_forward_time: 33.1470985413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0797119141
validation[          , genome  9307] predictions:    9833/  10000 (98.33%), best:    9854/10000 (98.54%), error:       522.62592, best error:       435.07150 on epoch:    37, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 439.3578186035s, input_fired_time: 5.0503039360, output_fired_time: 5.2954611778, propagate_forward_time: 162.3280792236, propagate_backward_time: 260.5881042480, weight_update_time: 0.6480826139, other_time: 6.0958557129
epoch time: 34.2308883667s, input_fired_time: 0.6430044770, output_fired_time: 0.0000000000, propagate_forward_time: 32.4729080200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1149749756
validation[          , genome  9307] predictions:    9861/  10000 (98.61%), best:    9854/10000 (98.54%), error:       475.92184, best error:       435.07150 on epoch:    37, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 436.0796508789s, input_fired_time: 5.0814499855, output_fired_time: 5.3084168434, propagate_forward_time: 160.7301177979, propagate_backward_time: 258.6837158203, weight_update_time: 0.6514145732, other_time: 6.2759399414
epoch time: 29.0249118805s, input_fired_time: 0.6009590030, output_fired_time: 0.0000000000, propagate_forward_time: 27.1602001190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2637519836
validation[          , genome  9307] predictions:    9860/  10000 (98.60%), best:    9854/10000 (98.54%), error:       456.54892, best error:       435.07150 on epoch:    37, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 438.6138305664s, input_fired_time: 5.0738873482, output_fired_time: 5.2986822128, propagate_forward_time: 161.7835388184, propagate_backward_time: 260.2709045410, weight_update_time: 0.6501393914, other_time: 6.1868286133
epoch time: 34.2438774109s, input_fired_time: 0.6329106688, output_fired_time: 0.0000000000, propagate_forward_time: 32.5506629944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0603027344
validation[          , genome  9307] predictions:    9831/  10000 (98.31%), best:    9854/10000 (98.54%), error:       499.75052, best error:       435.07150 on epoch:    37, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 438.3612060547s, input_fired_time: 5.0684332848, output_fired_time: 5.2890629768, propagate_forward_time: 161.5837249756, propagate_backward_time: 260.2580871582, weight_update_time: 0.6501317024, other_time: 6.1618957520
epoch time: 34.7586250305s, input_fired_time: 0.6395261884, output_fired_time: 0.0000000000, propagate_forward_time: 33.0653419495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0537567139
validation[          , genome  9307] predictions:    9835/  10000 (98.35%), best:    9854/10000 (98.54%), error:       534.72827, best error:       435.07150 on epoch:    37, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 437.3337707520s, input_fired_time: 5.0613460541, output_fired_time: 5.2830567360, propagate_forward_time: 161.4068450928, propagate_backward_time: 259.4152221680, weight_update_time: 0.6478217244, other_time: 6.1672973633
epoch time: 33.7479476929s, input_fired_time: 0.6319180131, output_fired_time: 0.0000000000, propagate_forward_time: 32.0828247070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0332031250
validation[          , genome  9307] predictions:    9835/  10000 (98.35%), best:    9854/10000 (98.54%), error:       521.07318, best error:       435.07150 on epoch:    37, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 433.8591308594s, input_fired_time: 5.0683135986, output_fired_time: 5.2898521423, propagate_forward_time: 158.4930725098, propagate_backward_time: 258.7176513672, weight_update_time: 0.6491316557, other_time: 6.2902526855
epoch time: 34.3223648071s, input_fired_time: 0.6340818405, output_fired_time: 0.0000000000, propagate_forward_time: 32.6153869629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0728950500
validation[          , genome  9307] predictions:    9848/  10000 (98.48%), best:    9854/10000 (98.54%), error:       496.26624, best error:       435.07150 on epoch:    37, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 441.8616027832s, input_fired_time: 5.1230196953, output_fired_time: 5.3463759422, propagate_forward_time: 163.2578125000, propagate_backward_time: 261.9706420898, weight_update_time: 0.6521018147, other_time: 6.1637573242
epoch time: 34.3853378296s, input_fired_time: 0.6418212056, output_fired_time: 0.0000000000, propagate_forward_time: 32.6705169678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0729980469
validation[          , genome  9307] predictions:    9818/  10000 (98.18%), best:    9854/10000 (98.54%), error:       613.50073, best error:       435.07150 on epoch:    37, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 440.5079956055s, input_fired_time: 5.1103310585, output_fired_time: 5.3285999298, propagate_forward_time: 162.7322998047, propagate_backward_time: 261.1159362793, weight_update_time: 0.6546762586, other_time: 6.2208251953
epoch time: 34.6332778931s, input_fired_time: 0.6349577308, output_fired_time: 0.0000000000, propagate_forward_time: 32.9622192383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0361022949
validation[          , genome  9307] predictions:    9856/  10000 (98.56%), best:    9854/10000 (98.54%), error:       471.80060, best error:       435.07150 on epoch:    37, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 438.0659790039s, input_fired_time: 5.0743508339, output_fired_time: 5.3031578064, propagate_forward_time: 161.1379394531, propagate_backward_time: 260.3536682129, weight_update_time: 0.6479880810, other_time: 6.1968688965
epoch time: 33.8388481140s, input_fired_time: 0.6325039864, output_fired_time: 0.0000000000, propagate_forward_time: 32.1426239014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0637207031
validation[          , genome  9307] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       431.66980, best error:       431.66980 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 438.1220397949s, input_fired_time: 5.0935382843, output_fired_time: 5.3036980629, propagate_forward_time: 161.0629425049, propagate_backward_time: 260.4720458984, weight_update_time: 0.6492112875, other_time: 6.1898193359
epoch time: 34.3097534180s, input_fired_time: 0.6337814927, output_fired_time: 0.0000000000, propagate_forward_time: 32.6422920227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0336799622
validation[          , genome  9307] predictions:    9849/  10000 (98.49%), best:    9880/10000 (98.80%), error:       478.59387, best error:       431.66980 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 438.5823059082s, input_fired_time: 5.0850992203, output_fired_time: 5.2987723351, propagate_forward_time: 161.6605377197, propagate_backward_time: 260.3258361816, weight_update_time: 0.6460719705, other_time: 6.2120666504
epoch time: 34.4271049500s, input_fired_time: 0.6382983327, output_fired_time: 0.0000000000, propagate_forward_time: 32.7409095764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0478973389
validation[          , genome  9307] predictions:    9859/  10000 (98.59%), best:    9880/10000 (98.80%), error:       442.59970, best error:       431.66980 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 441.6001281738s, input_fired_time: 5.1545925140, output_fired_time: 5.3480463028, propagate_forward_time: 162.8420562744, propagate_backward_time: 261.9876708984, weight_update_time: 0.6573542356, other_time: 6.2677612305
epoch time: 33.5947990417s, input_fired_time: 0.6202077866, output_fired_time: 0.0000000000, propagate_forward_time: 31.9259414673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0486488342
validation[          , genome  9307] predictions:    9852/  10000 (98.52%), best:    9880/10000 (98.80%), error:       470.23096, best error:       431.66980 on epoch:    54, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 442.6180725098s, input_fired_time: 5.1197052002, output_fired_time: 5.3325686455, propagate_forward_time: 163.7336120605, propagate_backward_time: 262.2843627930, weight_update_time: 0.6532327533, other_time: 6.1477966309
epoch time: 34.9109458923s, input_fired_time: 0.6451601386, output_fired_time: 0.0000000000, propagate_forward_time: 33.2297096252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0360755920
validation[          , genome  9307] predictions:    9826/  10000 (98.26%), best:    9880/10000 (98.80%), error:       564.87079, best error:       431.66980 on epoch:    54, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 442.3860168457s, input_fired_time: 5.1386342049, output_fired_time: 5.3370313644, propagate_forward_time: 163.5083160400, propagate_backward_time: 262.2315063477, weight_update_time: 0.6497553587, other_time: 6.1705322266
epoch time: 33.1018218994s, input_fired_time: 0.6222183108, output_fired_time: 0.0000000000, propagate_forward_time: 31.4229755402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0566272736
validation[          , genome  9307] predictions:    9847/  10000 (98.47%), best:    9880/10000 (98.80%), error:       489.64880, best error:       431.66980 on epoch:    54, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472


</stderr_txt>
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