Nameexact_genome_1512568488_43_7062_1
Workunit2606568
Created7 Dec 2017, 23:35:07 UTC
Sent7 Dec 2017, 23:42:09 UTC
Report deadline17 Dec 2017, 17:28:16 UTC
Received10 Dec 2017, 8:16:04 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID9286
Run time5 hours 17 min 3 sec
CPU time5 hours 16 min 57 sec
Validate stateValid
Credit2,435.09
Device peak FLOPS1.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size150.81 MB
Peak swap size152.34 MB
Peak disk usage1.24 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
e.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_1512568488_43_7062.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_7062_1_r1818701089_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.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: 0.814342
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00448107
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000179243
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: 20
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 18
read number_validation_images: 10000
read best_validation_predictions: 9742
read best_validation_error: 857.992
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: 7062
read normal distribution: '1 0.564015924930573 0.30783998966217'
generator_str: '1152710864'
read generator: 1152710864
read generated_by_map:
1 split_node 1
reading 25 nodes.
reading 61 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
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!
epoch time: 171.702346801758s, input_fired_time: 1.17381823062897, output_fired_time: 0.954193651676178, propagate_forward_time: 67.0601119995117, propagate_backward_time: 100.051849365234, weight_update_time: 0.16604520380497, other_time: 2.46237945556641
epoch time: 13.9248132705688s, input_fired_time: 0.1225456148386, output_fired_time: 0, propagate_forward_time: 13.352822303772, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.449445724487305
validation[          , genome  7062] predictions:    9720/  10000 (97.20%), best:    9742/10000 (97.42%), error:       926.72003, best error:       857.99170 on epoch:    18, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 171.4485015869s, input_fired_time: 1.1685247421, output_fired_time: 0.9529743195, propagate_forward_time: 66.7325897217, propagate_backward_time: 100.1110153198, weight_update_time: 0.1663581878, other_time: 2.4834060669
epoch time: 13.9220161438s, input_fired_time: 0.1206180081, output_fired_time: 0.0000000000, propagate_forward_time: 13.3539752960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4474229813
validation[          , genome  7062] predictions:    9705/  10000 (97.05%), best:    9742/10000 (97.42%), error:       911.57336, best error:       857.99170 on epoch:    18, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 171.3955230713s, input_fired_time: 1.1703429222, output_fired_time: 0.9522891641, propagate_forward_time: 66.7167358398, propagate_backward_time: 100.0835647583, weight_update_time: 0.1660558432, other_time: 2.4725875854
epoch time: 13.9212484360s, input_fired_time: 0.1226103529, output_fired_time: 0.0000000000, propagate_forward_time: 13.3514137268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4472246170
validation[          , genome  7062] predictions:    9749/  10000 (97.49%), best:    9749/10000 (97.49%), error:       807.22388, best error:       807.22388 on epoch:    22, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 170.0379333496s, input_fired_time: 1.1637744904, output_fired_time: 0.9455495477, propagate_forward_time: 66.2344207764, propagate_backward_time: 99.2364654541, weight_update_time: 0.1646715254, other_time: 2.4577178955
epoch time: 13.9254512787s, input_fired_time: 0.1238211989, output_fired_time: 0.0000000000, propagate_forward_time: 13.3536577225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4479722977
validation[          , genome  7062] predictions:    9749/  10000 (97.49%), best:    9749/10000 (97.49%), error:       859.35529, best error:       807.22388 on epoch:    22, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 172.4599456787s, input_fired_time: 1.1799519062, output_fired_time: 0.9540526271, propagate_forward_time: 67.5072174072, propagate_backward_time: 100.3821945190, weight_update_time: 0.1654334068, other_time: 2.4365310669
epoch time: 14.3380584717s, input_fired_time: 0.1305677891, output_fired_time: 0.0000000000, propagate_forward_time: 13.7818717957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4256191254
validation[          , genome  7062] predictions:    9735/  10000 (97.35%), best:    9749/10000 (97.49%), error:       880.00226, best error:       807.22388 on epoch:    22, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 174.3158874512s, input_fired_time: 1.1992126703, output_fired_time: 0.9585956335, propagate_forward_time: 68.9099121094, propagate_backward_time: 100.8856964111, weight_update_time: 0.1641343981, other_time: 2.3624572754
epoch time: 14.3647298813s, input_fired_time: 0.1294280738, output_fired_time: 0.0000000000, propagate_forward_time: 13.8103466034, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249553680
validation[          , genome  7062] predictions:    9708/  10000 (97.08%), best:    9749/10000 (97.49%), error:       918.10767, best error:       807.22388 on epoch:    22, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 172.6160736084s, input_fired_time: 1.1829423904, output_fired_time: 0.9557340741, propagate_forward_time: 67.6529312134, propagate_backward_time: 100.3988723755, weight_update_time: 0.1653121561, other_time: 2.4255981445
epoch time: 13.9220323563s, input_fired_time: 0.1228357032, output_fired_time: 0.0000000000, propagate_forward_time: 13.3521547318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4470415115
validation[          , genome  7062] predictions:    9739/  10000 (97.39%), best:    9749/10000 (97.49%), error:       844.60480, best error:       807.22388 on epoch:    22, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 171.3632049561s, input_fired_time: 1.1683559418, output_fired_time: 0.9528458714, propagate_forward_time: 66.6941680908, propagate_backward_time: 100.0738601685, weight_update_time: 0.1661429107, other_time: 2.4739761353
epoch time: 14.3716077805s, input_fired_time: 0.1311190873, output_fired_time: 0.0000000000, propagate_forward_time: 13.8173294067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4231595993
validation[          , genome  7062] predictions:    9730/  10000 (97.30%), best:    9749/10000 (97.49%), error:       843.51025, best error:       807.22388 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 173.8677825928s, input_fired_time: 1.1987098455, output_fired_time: 0.9565037489, propagate_forward_time: 68.6826324463, propagate_backward_time: 100.6696243286, weight_update_time: 0.1637333632, other_time: 2.3603134155
epoch time: 14.2983636856s, input_fired_time: 0.1302433908, output_fired_time: 0.0000000000, propagate_forward_time: 13.7423515320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4257688522
validation[          , genome  7062] predictions:    9728/  10000 (97.28%), best:    9749/10000 (97.49%), error:       848.58179, best error:       807.22388 on epoch:    22, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 173.7120361328s, input_fired_time: 1.1966617107, output_fired_time: 0.9596672654, propagate_forward_time: 68.5751800537, propagate_backward_time: 100.6175155640, weight_update_time: 0.1636509001, other_time: 2.3630142212
epoch time: 14.2363491058s, input_fired_time: 0.1297587305, output_fired_time: 0.0000000000, propagate_forward_time: 13.6815128326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250774384
validation[          , genome  7062] predictions:    9697/  10000 (96.97%), best:    9749/10000 (97.49%), error:       976.57886, best error:       807.22388 on epoch:    22, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 173.3948211670s, input_fired_time: 1.1948138475, output_fired_time: 0.9561894536, propagate_forward_time: 68.4534072876, propagate_backward_time: 100.4308929443, weight_update_time: 0.1630255580, other_time: 2.3595199585
epoch time: 14.2401008606s, input_fired_time: 0.1312615722, output_fired_time: 0.0000000000, propagate_forward_time: 13.6826124191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4262266159
validation[          , genome  7062] predictions:    9742/  10000 (97.42%), best:    9749/10000 (97.49%), error:       865.62177, best error:       807.22388 on epoch:    22, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 173.4284362793s, input_fired_time: 1.1951653957, output_fired_time: 0.9567236304, propagate_forward_time: 68.4640274048, propagate_backward_time: 100.4516983032, weight_update_time: 0.1630121022, other_time: 2.3608245850
epoch time: 14.2406635284s, input_fired_time: 0.1313327551, output_fired_time: 0.0000000000, propagate_forward_time: 13.6839008331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254302979
validation[          , genome  7062] predictions:    9771/  10000 (97.71%), best:    9771/10000 (97.71%), error:       738.96094, best error:       738.96094 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 173.4061737061s, input_fired_time: 1.1937555075, output_fired_time: 0.9559957385, propagate_forward_time: 68.4596939087, propagate_backward_time: 100.4365463257, weight_update_time: 0.1629528254, other_time: 2.3601837158
epoch time: 14.2363500595s, input_fired_time: 0.1300995499, output_fired_time: 0.0000000000, propagate_forward_time: 13.6801862717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4260644913
validation[          , genome  7062] predictions:    9769/  10000 (97.69%), best:    9771/10000 (97.71%), error:       779.75177, best error:       738.96094 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 173.1329040527s, input_fired_time: 1.1912897825, output_fired_time: 0.9563682675, propagate_forward_time: 68.3493804932, propagate_backward_time: 100.2779312134, weight_update_time: 0.1628485620, other_time: 2.3579330444
epoch time: 14.2105045319s, input_fired_time: 0.1299437135, output_fired_time: 0.0000000000, propagate_forward_time: 13.6551828384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4253778458
validation[          , genome  7062] predictions:    9747/  10000 (97.47%), best:    9771/10000 (97.71%), error:       803.24854, best error:       738.96094 on epoch:    31, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 172.7514038086s, input_fired_time: 1.1942560673, output_fired_time: 0.9571958780, propagate_forward_time: 68.1816177368, propagate_backward_time: 100.0572128296, weight_update_time: 0.1626971215, other_time: 2.3611145020
epoch time: 14.2101516724s, input_fired_time: 0.1307921857, output_fired_time: 0.0000000000, propagate_forward_time: 13.6543674469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249916077
validation[          , genome  7062] predictions:    9741/  10000 (97.41%), best:    9771/10000 (97.71%), error:       813.84644, best error:       738.96094 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 172.7534790039s, input_fired_time: 1.1952087879, output_fired_time: 0.9565482140, propagate_forward_time: 68.1873474121, propagate_backward_time: 100.0536956787, weight_update_time: 0.1626946926, other_time: 2.3606872559
epoch time: 14.2471904755s, input_fired_time: 0.1310105473, output_fired_time: 0.0000000000, propagate_forward_time: 13.6916027069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4245767593
validation[          , genome  7062] predictions:    9704/  10000 (97.04%), best:    9771/10000 (97.71%), error:       983.14484, best error:       738.96094 on epoch:    31, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 172.7349243164s, input_fired_time: 1.1943365335, output_fired_time: 0.9569596648, propagate_forward_time: 68.1685791016, propagate_backward_time: 100.0551681519, weight_update_time: 0.1627269089, other_time: 2.3598861694
epoch time: 14.2101707458s, input_fired_time: 0.1301427931, output_fired_time: 0.0000000000, propagate_forward_time: 13.6543779373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4256496429
validation[          , genome  7062] predictions:    9725/  10000 (97.25%), best:    9771/10000 (97.71%), error:       852.98938, best error:       738.96094 on epoch:    31, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 172.7389831543s, input_fired_time: 1.1942641735, output_fired_time: 0.9566408992, propagate_forward_time: 68.1749114990, propagate_backward_time: 100.0524520874, weight_update_time: 0.1625655293, other_time: 2.3607254028
epoch time: 14.2113056183s, input_fired_time: 0.1310777962, output_fired_time: 0.0000000000, propagate_forward_time: 13.6550216675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252061844
validation[          , genome  7062] predictions:    9699/  10000 (96.99%), best:    9771/10000 (97.71%), error:       942.11981, best error:       738.96094 on epoch:    31, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 172.7666168213s, input_fired_time: 1.1957912445, output_fired_time: 0.9572203159, propagate_forward_time: 68.1804122925, propagate_backward_time: 100.0713272095, weight_update_time: 0.1627218425, other_time: 2.3618774414
epoch time: 14.2272214890s, input_fired_time: 0.1307551265, output_fired_time: 0.0000000000, propagate_forward_time: 13.6712951660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4251708984
validation[          , genome  7062] predictions:    9765/  10000 (97.65%), best:    9771/10000 (97.71%), error:       788.74182, best error:       738.96094 on epoch:    31, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 172.7867126465s, input_fired_time: 1.1953103542, output_fired_time: 0.9567925334, propagate_forward_time: 68.2121658325, propagate_backward_time: 100.0625457764, weight_update_time: 0.1626062095, other_time: 2.3599014282
epoch time: 14.2101449966s, input_fired_time: 0.1309628934, output_fired_time: 0.0000000000, propagate_forward_time: 13.6541633606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250183105
validation[          , genome  7062] predictions:    9744/  10000 (97.44%), best:    9771/10000 (97.71%), error:       831.76904, best error:       738.96094 on epoch:    31, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 172.7392730713s, input_fired_time: 1.1976634264, output_fired_time: 0.9569473863, propagate_forward_time: 68.1717376709, propagate_backward_time: 100.0541305542, weight_update_time: 0.1626821011, other_time: 2.3587875366
epoch time: 14.2121305466s, input_fired_time: 0.1311598420, output_fired_time: 0.0000000000, propagate_forward_time: 13.6556816101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252891541
validation[          , genome  7062] predictions:    9788/  10000 (97.88%), best:    9771/10000 (97.71%), error:       745.92651, best error:       738.96094 on epoch:    31, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 172.7645111084s, input_fired_time: 1.1969146729, output_fired_time: 0.9572569728, propagate_forward_time: 68.1796646118, propagate_backward_time: 100.0710906982, weight_update_time: 0.1627101302, other_time: 2.3595809937
epoch time: 14.2103567123s, input_fired_time: 0.1307090819, output_fired_time: 0.0000000000, propagate_forward_time: 13.6543855667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252624512
validation[          , genome  7062] predictions:    9719/  10000 (97.19%), best:    9771/10000 (97.71%), error:       861.96625, best error:       738.96094 on epoch:    31, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 172.7315826416s, input_fired_time: 1.1970909834, output_fired_time: 0.9571129084, propagate_forward_time: 68.1713638306, propagate_backward_time: 100.0471572876, weight_update_time: 0.1626485288, other_time: 2.3588562012
epoch time: 14.2108335495s, input_fired_time: 0.1304723620, output_fired_time: 0.0000000000, propagate_forward_time: 13.6547489166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4256124496
validation[          , genome  7062] predictions:    9710/  10000 (97.10%), best:    9771/10000 (97.71%), error:       923.88617, best error:       738.96094 on epoch:    31, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 172.7610931396s, input_fired_time: 1.1975314617, output_fired_time: 0.9548453689, propagate_forward_time: 68.2013015747, propagate_backward_time: 100.0478210449, weight_update_time: 0.1626210213, other_time: 2.3595962524
epoch time: 14.2117338181s, input_fired_time: 0.1312542111, output_fired_time: 0.0000000000, propagate_forward_time: 13.6552009583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252786636
validation[          , genome  7062] predictions:    9759/  10000 (97.59%), best:    9759/10000 (97.59%), error:       726.53479, best error:       726.53479 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 172.7396697998s, input_fired_time: 1.1969980001, output_fired_time: 0.9566347003, propagate_forward_time: 68.1730499268, propagate_backward_time: 100.0534439087, weight_update_time: 0.1626893282, other_time: 2.3595504761
epoch time: 14.2117967606s, input_fired_time: 0.1314553171, output_fired_time: 0.0000000000, propagate_forward_time: 13.6542177200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4261236191
validation[          , genome  7062] predictions:    9667/  10000 (96.67%), best:    9759/10000 (97.59%), error:       984.44403, best error:       726.53479 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 172.7365112305s, input_fired_time: 1.1967828274, output_fired_time: 0.9569597244, propagate_forward_time: 68.1715621948, propagate_backward_time: 100.0521316528, weight_update_time: 0.1626600474, other_time: 2.3590850830
epoch time: 14.2115821838s, input_fired_time: 0.1311803609, output_fired_time: 0.0000000000, propagate_forward_time: 13.6552009583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252004623
validation[          , genome  7062] predictions:    9759/  10000 (97.59%), best:    9759/10000 (97.59%), error:       773.65479, best error:       726.53479 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 172.7393341064s, input_fired_time: 1.1991698742, output_fired_time: 0.9565827847, propagate_forward_time: 68.1706314087, propagate_backward_time: 100.0535736084, weight_update_time: 0.1627100259, other_time: 2.3593673706
epoch time: 14.2379102707s, input_fired_time: 0.1326723993, output_fired_time: 0.0000000000, propagate_forward_time: 13.6802196503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250183105
validation[          , genome  7062] predictions:    9762/  10000 (97.62%), best:    9759/10000 (97.59%), error:       783.80353, best error:       726.53479 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 172.7480468750s, input_fired_time: 1.2002112865, output_fired_time: 0.9555264115, propagate_forward_time: 68.1879959106, propagate_backward_time: 100.0455856323, weight_update_time: 0.1626633406, other_time: 2.3587341309
epoch time: 14.2138652802s, input_fired_time: 0.1324377358, output_fired_time: 0.0000000000, propagate_forward_time: 13.6559343338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254932404
validation[          , genome  7062] predictions:    9732/  10000 (97.32%), best:    9759/10000 (97.59%), error:       851.18243, best error:       726.53479 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 172.7565307617s, input_fired_time: 1.1987974644, output_fired_time: 0.9572646618, propagate_forward_time: 68.1772537231, propagate_backward_time: 100.0623931885, weight_update_time: 0.1626162827, other_time: 2.3608322144
epoch time: 14.2140932083s, input_fired_time: 0.1325553358, output_fired_time: 0.0000000000, propagate_forward_time: 13.6559200287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4256181717
validation[          , genome  7062] predictions:    9743/  10000 (97.43%), best:    9759/10000 (97.59%), error:       779.43182, best error:       726.53479 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 172.7745513916s, input_fired_time: 1.2018874884, output_fired_time: 0.9570621848, propagate_forward_time: 68.1792373657, propagate_backward_time: 100.0748901367, weight_update_time: 0.1628428847, other_time: 2.3614730835
epoch time: 14.2157068253s, input_fired_time: 0.1320157498, output_fired_time: 0.0000000000, propagate_forward_time: 13.6571645737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4265260696
validation[          , genome  7062] predictions:    9739/  10000 (97.39%), best:    9759/10000 (97.59%), error:       882.37128, best error:       726.53479 on epoch:    43, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 172.7715301514s, input_fired_time: 1.2024387121, output_fired_time: 0.9572057724, propagate_forward_time: 68.1801376343, propagate_backward_time: 100.0704574585, weight_update_time: 0.1628187746, other_time: 2.3612976074
epoch time: 14.2717742920s, input_fired_time: 0.1325022131, output_fired_time: 0.0000000000, propagate_forward_time: 13.7146329880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246387482
validation[          , genome  7062] predictions:    9759/  10000 (97.59%), best:    9759/10000 (97.59%), error:       760.80371, best error:       726.53479 on epoch:    43, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 172.7735748291s, input_fired_time: 1.2026398182, output_fired_time: 0.9571402073, propagate_forward_time: 68.1814880371, propagate_backward_time: 100.0706634521, weight_update_time: 0.1628200859, other_time: 2.3616485596
epoch time: 14.2145357132s, input_fired_time: 0.1321543902, output_fired_time: 0.0000000000, propagate_forward_time: 13.6571311951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252500534
validation[          , genome  7062] predictions:    9714/  10000 (97.14%), best:    9759/10000 (97.59%), error:       904.58441, best error:       726.53479 on epoch:    43, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 172.7792968750s, input_fired_time: 1.2027281523, output_fired_time: 0.9571200609, propagate_forward_time: 68.1853713989, propagate_backward_time: 100.0727767944, weight_update_time: 0.1628259420, other_time: 2.3612976074
epoch time: 14.2169361115s, input_fired_time: 0.1321165413, output_fired_time: 0.0000000000, propagate_forward_time: 13.6588573456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4259624481
validation[          , genome  7062] predictions:    9775/  10000 (97.75%), best:    9759/10000 (97.59%), error:       735.40143, best error:       726.53479 on epoch:    43, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 172.7797851562s, input_fired_time: 1.2031897306, output_fired_time: 0.9570181966, propagate_forward_time: 68.1827697754, propagate_backward_time: 100.0757675171, weight_update_time: 0.1627387553, other_time: 2.3610458374
epoch time: 14.2139215469s, input_fired_time: 0.1322388351, output_fired_time: 0.0000000000, propagate_forward_time: 13.6565332413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4251499176
validation[          , genome  7062] predictions:    9769/  10000 (97.69%), best:    9759/10000 (97.59%), error:       735.25330, best error:       726.53479 on epoch:    43, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 172.7902832031s, input_fired_time: 1.2010629177, output_fired_time: 0.9557265043, propagate_forward_time: 68.2082901001, propagate_backward_time: 100.0648651123, weight_update_time: 0.1627189070, other_time: 2.3603439331
epoch time: 14.2261619568s, input_fired_time: 0.1322775632, output_fired_time: 0.0000000000, propagate_forward_time: 13.6682090759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4256753922
validation[          , genome  7062] predictions:    9743/  10000 (97.43%), best:    9759/10000 (97.59%), error:       765.80743, best error:       726.53479 on epoch:    43, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 172.8477020264s, input_fired_time: 1.1998716593, output_fired_time: 0.9506133199, propagate_forward_time: 68.2953643799, propagate_backward_time: 100.0409011841, weight_update_time: 0.1625115275, other_time: 2.3609542847
epoch time: 14.2925806046s, input_fired_time: 0.1332118213, output_fired_time: 0.0000000000, propagate_forward_time: 13.7352571487, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4241113663
validation[          , genome  7062] predictions:    9751/  10000 (97.51%), best:    9759/10000 (97.59%), error:       783.96021, best error:       726.53479 on epoch:    43, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 173.1026763916s, input_fired_time: 1.2099324465, output_fired_time: 0.9642434716, propagate_forward_time: 68.2847518921, propagate_backward_time: 100.2644805908, weight_update_time: 0.1625139266, other_time: 2.3792648315
epoch time: 14.2274427414s, input_fired_time: 0.1324406266, output_fired_time: 0.0000000000, propagate_forward_time: 13.6661996841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4288024902
validation[          , genome  7062] predictions:    9722/  10000 (97.22%), best:    9759/10000 (97.59%), error:       834.72839, best error:       726.53479 on epoch:    43, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 173.2631835938s, input_fired_time: 1.2080323696, output_fired_time: 0.9595466852, propagate_forward_time: 68.3718261719, propagate_backward_time: 100.3532180786, weight_update_time: 0.1626189947, other_time: 2.3705520630
epoch time: 14.2310247421s, input_fired_time: 0.1342451423, output_fired_time: 0.0000000000, propagate_forward_time: 13.6712322235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4255475998
validation[          , genome  7062] predictions:    9747/  10000 (97.47%), best:    9759/10000 (97.59%), error:       767.38312, best error:       726.53479 on epoch:    43, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 174.4433898926s, input_fired_time: 1.2153251171, output_fired_time: 0.9588787556, propagate_forward_time: 68.9123382568, propagate_backward_time: 100.9920730591, weight_update_time: 0.1641466767, other_time: 2.3647689819
epoch time: 14.3429718018s, input_fired_time: 0.1324554682, output_fired_time: 0.0000000000, propagate_forward_time: 13.7853221893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4251937866
validation[          , genome  7062] predictions:    9742/  10000 (97.42%), best:    9759/10000 (97.59%), error:       835.98663, best error:       726.53479 on epoch:    43, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 174.6427459717s, input_fired_time: 1.2168468237, output_fired_time: 0.9623365998, propagate_forward_time: 68.9879608154, propagate_backward_time: 101.1168670654, weight_update_time: 0.1645325124, other_time: 2.3587341309
epoch time: 14.4809818268s, input_fired_time: 0.1351408213, output_fired_time: 0.0000000000, propagate_forward_time: 13.9223852158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4234561920
validation[          , genome  7062] predictions:    9762/  10000 (97.62%), best:    9759/10000 (97.59%), error:       783.78235, best error:       726.53479 on epoch:    43, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 174.6011657715s, input_fired_time: 1.2185000181, output_fired_time: 0.9637381434, propagate_forward_time: 68.9459686279, propagate_backward_time: 101.1106948853, weight_update_time: 0.1647637784, other_time: 2.3622512817
epoch time: 14.3509130478s, input_fired_time: 0.1328968704, output_fired_time: 0.0000000000, propagate_forward_time: 13.7933664322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246501923
validation[          , genome  7062] predictions:    9765/  10000 (97.65%), best:    9759/10000 (97.59%), error:       796.52667, best error:       726.53479 on epoch:    43, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 174.7029724121s, input_fired_time: 1.2162942886, output_fired_time: 0.9605839252, propagate_forward_time: 69.0373916626, propagate_backward_time: 101.1280288696, weight_update_time: 0.1645069420, other_time: 2.3606719971
epoch time: 14.3493251801s, input_fired_time: 0.1329872906, output_fired_time: 0.0000000000, propagate_forward_time: 13.7915496826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247884750
validation[          , genome  7062] predictions:    9756/  10000 (97.56%), best:    9759/10000 (97.59%), error:       771.23779, best error:       726.53479 on epoch:    43, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 174.6328277588s, input_fired_time: 1.2175552845, output_fired_time: 0.9644521475, propagate_forward_time: 68.9593200684, propagate_backward_time: 101.1287612915, weight_update_time: 0.1648820192, other_time: 2.3627395630
epoch time: 14.5087194443s, input_fired_time: 0.1346334219, output_fired_time: 0.0000000000, propagate_forward_time: 13.9505901337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4234962463
validation[          , genome  7062] predictions:    9766/  10000 (97.66%), best:    9759/10000 (97.59%), error:       746.91614, best error:       726.53479 on epoch:    43, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 174.6846923828s, input_fired_time: 1.2214952707, output_fired_time: 0.9626792669, propagate_forward_time: 68.9979095459, propagate_backward_time: 101.1376113892, weight_update_time: 0.1647333354, other_time: 2.3649978638
epoch time: 14.3514585495s, input_fired_time: 0.1340859085, output_fired_time: 0.0000000000, propagate_forward_time: 13.7924404144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249324799
validation[          , genome  7062] predictions:    9767/  10000 (97.67%), best:    9759/10000 (97.59%), error:       753.79730, best error:       726.53479 on epoch:    43, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 174.7134399414s, input_fired_time: 1.2204368114, output_fired_time: 0.9595608711, propagate_forward_time: 69.0463180542, propagate_backward_time: 101.1249694824, weight_update_time: 0.1644246727, other_time: 2.3621444702
epoch time: 14.3542375565s, input_fired_time: 0.1339080185, output_fired_time: 0.0000000000, propagate_forward_time: 13.7950553894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4252738953
validation[          , genome  7062] predictions:    9766/  10000 (97.66%), best:    9759/10000 (97.59%), error:       773.84686, best error:       726.53479 on epoch:    43, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 174.6040191650s, input_fired_time: 1.2213602066, output_fired_time: 0.9638180733, propagate_forward_time: 68.9473266602, propagate_backward_time: 101.1094131470, weight_update_time: 0.1646720320, other_time: 2.3620986938
epoch time: 14.3784093857s, input_fired_time: 0.1336259395, output_fired_time: 0.0000000000, propagate_forward_time: 13.8200244904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247589111
validation[          , genome  7062] predictions:    9751/  10000 (97.51%), best:    9759/10000 (97.59%), error:       772.64789, best error:       726.53479 on epoch:    43, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 174.6881713867s, input_fired_time: 1.2194464207, output_fired_time: 0.9600056410, propagate_forward_time: 69.0256881714, propagate_backward_time: 101.1219558716, weight_update_time: 0.1645420194, other_time: 2.3610687256
epoch time: 14.3489255905s, input_fired_time: 0.1325405538, output_fired_time: 0.0000000000, propagate_forward_time: 13.7914457321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249391556
validation[          , genome  7062] predictions:    9754/  10000 (97.54%), best:    9759/10000 (97.59%), error:       795.91528, best error:       726.53479 on epoch:    43, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 174.3491516113s, input_fired_time: 1.2146251202, output_fired_time: 0.9582131505, propagate_forward_time: 68.8848190308, propagate_backward_time: 100.9313735962, weight_update_time: 0.1640921533, other_time: 2.3601226807
epoch time: 14.2043342590s, input_fired_time: 0.1335181594, output_fired_time: 0.0000000000, propagate_forward_time: 13.6456508636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4251651764
validation[          , genome  7062] predictions:    9769/  10000 (97.69%), best:    9759/10000 (97.59%), error:       740.56378, best error:       726.53479 on epoch:    43, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 172.9062652588s, input_fired_time: 1.2129127979, output_fired_time: 0.9584673643, propagate_forward_time: 68.2057952881, propagate_backward_time: 100.1732025146, weight_update_time: 0.1626216769, other_time: 2.3558959961
epoch time: 14.2034950256s, input_fired_time: 0.1346160024, output_fired_time: 0.0000000000, propagate_forward_time: 13.6445055008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4243736267
validation[          , genome  7062] predictions:    9753/  10000 (97.53%), best:    9759/10000 (97.59%), error:       803.85559, best error:       726.53479 on epoch:    43, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 172.9787597656s, input_fired_time: 1.2106162310, output_fired_time: 0.9545422792, propagate_forward_time: 68.2942962646, propagate_backward_time: 100.1649246216, weight_update_time: 0.1625328511, other_time: 2.3543777466
epoch time: 14.2035446167s, input_fired_time: 0.1328725219, output_fired_time: 0.0000000000, propagate_forward_time: 13.6462059021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4244661331
validation[          , genome  7062] predictions:    9755/  10000 (97.55%), best:    9759/10000 (97.59%), error:       786.75507, best error:       726.53479 on epoch:    43, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 172.8760528564s, input_fired_time: 1.2095546722, output_fired_time: 0.9538815618, propagate_forward_time: 68.2499465942, propagate_backward_time: 100.1082763672, weight_update_time: 0.1624380499, other_time: 2.3543930054
epoch time: 14.1581354141s, input_fired_time: 0.1329400092, output_fired_time: 0.0000000000, propagate_forward_time: 13.6005945206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246006012
validation[          , genome  7062] predictions:    9748/  10000 (97.48%), best:    9759/10000 (97.59%), error:       812.95398, best error:       726.53479 on epoch:    43, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 172.3170318604s, input_fired_time: 1.2067446709, output_fired_time: 0.9525409341, propagate_forward_time: 68.0006942749, propagate_backward_time: 99.8015899658, weight_update_time: 0.1621941924, other_time: 2.3554611206
epoch time: 14.1578540802s, input_fired_time: 0.1336350739, output_fired_time: 0.0000000000, propagate_forward_time: 13.5992727280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249458313
validation[          , genome  7062] predictions:    9742/  10000 (97.42%), best:    9759/10000 (97.59%), error:       839.23645, best error:       726.53479 on epoch:    43, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 173.6105499268s, input_fired_time: 1.2157846689, output_fired_time: 0.9594380260, propagate_forward_time: 68.5312271118, propagate_backward_time: 100.5389556885, weight_update_time: 0.1630085409, other_time: 2.3651351929
epoch time: 14.2703304291s, input_fired_time: 0.1341823637, output_fired_time: 0.0000000000, propagate_forward_time: 13.7097578049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4263906479
validation[          , genome  7062] predictions:    9717/  10000 (97.17%), best:    9759/10000 (97.59%), error:       907.26581, best error:       726.53479 on epoch:    43, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 174.5312347412s, input_fired_time: 1.2244182825, output_fired_time: 0.9600167871, propagate_forward_time: 69.0054550171, propagate_backward_time: 100.9741973877, weight_update_time: 0.1643557250, other_time: 2.3671493530
epoch time: 14.3761787415s, input_fired_time: 0.1347755790, output_fired_time: 0.0000000000, propagate_forward_time: 13.8155956268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4258079529
validation[          , genome  7062] predictions:    9755/  10000 (97.55%), best:    9759/10000 (97.59%), error:       796.24719, best error:       726.53479 on epoch:    43, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 174.8246612549s, input_fired_time: 1.2246164083, output_fired_time: 0.9590416551, propagate_forward_time: 69.1496353149, propagate_backward_time: 101.1254043579, weight_update_time: 0.1647173911, other_time: 2.3659667969
epoch time: 14.3769302368s, input_fired_time: 0.1368406117, output_fired_time: 0.0000000000, propagate_forward_time: 13.8146448135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254446030
validation[          , genome  7062] predictions:    9767/  10000 (97.67%), best:    9759/10000 (97.59%), error:       737.19684, best error:       726.53479 on epoch:    43, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 174.8419342041s, input_fired_time: 1.2301359177, output_fired_time: 0.9597455263, propagate_forward_time: 69.1507110596, propagate_backward_time: 101.1336059570, weight_update_time: 0.1649308056, other_time: 2.3677368164
epoch time: 14.3806962967s, input_fired_time: 0.1360628605, output_fired_time: 0.0000000000, propagate_forward_time: 13.8184719086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4261617661
validation[          , genome  7062] predictions:    9765/  10000 (97.65%), best:    9759/10000 (97.59%), error:       752.71143, best error:       726.53479 on epoch:    43, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 174.7630920410s, input_fired_time: 1.2299109697, output_fired_time: 0.9624025822, propagate_forward_time: 69.0934219360, propagate_backward_time: 101.1102447510, weight_update_time: 0.1648772061, other_time: 2.3671188354
epoch time: 14.5449790955s, input_fired_time: 0.1352734268, output_fired_time: 0.0000000000, propagate_forward_time: 13.9846391678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250669479
validation[          , genome  7062] predictions:    9762/  10000 (97.62%), best:    9759/10000 (97.59%), error:       776.65198, best error:       726.53479 on epoch:    43, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 174.7239227295s, input_fired_time: 1.2275574207, output_fired_time: 0.9622331858, propagate_forward_time: 69.0750808716, propagate_backward_time: 101.0915527344, weight_update_time: 0.1649647802, other_time: 2.3675003052
epoch time: 14.3821363449s, input_fired_time: 0.1359686404, output_fired_time: 0.0000000000, propagate_forward_time: 13.8200597763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4261083603
validation[          , genome  7062] predictions:    9767/  10000 (97.67%), best:    9759/10000 (97.59%), error:       761.21082, best error:       726.53479 on epoch:    43, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 174.8639221191s, input_fired_time: 1.2291135788, output_fired_time: 0.9594147205, propagate_forward_time: 69.1703872681, propagate_backward_time: 101.1390914917, weight_update_time: 0.1646850705, other_time: 2.3659210205
epoch time: 14.3785018921s, input_fired_time: 0.1347943991, output_fired_time: 0.0000000000, propagate_forward_time: 13.8174972534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4262104034
validation[          , genome  7062] predictions:    9764/  10000 (97.64%), best:    9759/10000 (97.59%), error:       731.31879, best error:       726.53479 on epoch:    43, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 174.8204498291s, input_fired_time: 1.2275031805, output_fired_time: 0.9594774246, propagate_forward_time: 69.1525878906, propagate_backward_time: 101.1153106689, weight_update_time: 0.1646073014, other_time: 2.3655700684
epoch time: 14.3791017532s, input_fired_time: 0.1359173805, output_fired_time: 0.0000000000, propagate_forward_time: 13.8167858124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4263982773
validation[          , genome  7062] predictions:    9724/  10000 (97.24%), best:    9759/10000 (97.59%), error:       867.29767, best error:       726.53479 on epoch:    43, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 174.7152099609s, input_fired_time: 1.2309827805, output_fired_time: 0.9628265500, propagate_forward_time: 69.0617065430, propagate_backward_time: 101.0925750732, weight_update_time: 0.1648367792, other_time: 2.3671112061
epoch time: 14.3805646896s, input_fired_time: 0.1364274174, output_fired_time: 0.0000000000, propagate_forward_time: 13.8175182343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4266185760
validation[          , genome  7062] predictions:    9764/  10000 (97.64%), best:    9759/10000 (97.59%), error:       761.79059, best error:       726.53479 on epoch:    43, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 174.8334655762s, input_fired_time: 1.2305201292, output_fired_time: 0.9593728781, propagate_forward_time: 69.1509170532, propagate_backward_time: 101.1255722046, weight_update_time: 0.1647723764, other_time: 2.3670959473
epoch time: 14.3795700073s, input_fired_time: 0.1358138621, output_fired_time: 0.0000000000, propagate_forward_time: 13.8172855377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4264707565
validation[          , genome  7062] predictions:    9759/  10000 (97.59%), best:    9759/10000 (97.59%), error:       774.22266, best error:       726.53479 on epoch:    43, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 172.5054473877s, input_fired_time: 1.2158800364, output_fired_time: 0.9529709220, propagate_forward_time: 68.0823135376, propagate_backward_time: 99.8948135376, weight_update_time: 0.1624014378, other_time: 2.3594665527
epoch time: 14.1660842896s, input_fired_time: 0.1364298016, output_fired_time: 0.0000000000, propagate_forward_time: 13.6042413712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254131317
validation[          , genome  7062] predictions:    9782/  10000 (97.82%), best:    9759/10000 (97.59%), error:       743.25793, best error:       726.53479 on epoch:    43, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 172.3766632080s, input_fired_time: 1.2177464962, output_fired_time: 0.9522133470, propagate_forward_time: 68.0168304443, propagate_backward_time: 99.8320693970, weight_update_time: 0.1623097509, other_time: 2.3578109741
epoch time: 14.1641073227s, input_fired_time: 0.1356145889, output_fired_time: 0.0000000000, propagate_forward_time: 13.6029987335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254941940
validation[          , genome  7062] predictions:    9762/  10000 (97.62%), best:    9759/10000 (97.59%), error:       741.77863, best error:       726.53479 on epoch:    43, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 172.3718872070s, input_fired_time: 1.2152321339, output_fired_time: 0.9531756639, propagate_forward_time: 68.0155715942, propagate_backward_time: 99.8294830322, weight_update_time: 0.1625973284, other_time: 2.3584365845
epoch time: 14.1638889313s, input_fired_time: 0.1355064809, output_fired_time: 0.0000000000, propagate_forward_time: 13.6035842896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247980118
validation[          , genome  7062] predictions:    9762/  10000 (97.62%), best:    9762/10000 (97.62%), error:       723.36047, best error:       723.36047 on epoch:    84, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 172.3674926758s, input_fired_time: 1.2163649797, output_fired_time: 0.9530132413, propagate_forward_time: 68.0151138306, propagate_backward_time: 99.8249206543, weight_update_time: 0.1622547954, other_time: 2.3580703735
epoch time: 14.1638059616s, input_fired_time: 0.1359449923, output_fired_time: 0.0000000000, propagate_forward_time: 13.6031284332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247322083
validation[          , genome  7062] predictions:    9734/  10000 (97.34%), best:    9762/10000 (97.62%), error:       817.37500, best error:       723.36047 on epoch:    84, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 172.3746948242s, input_fired_time: 1.2171777487, output_fired_time: 0.9526720643, propagate_forward_time: 68.0114135742, propagate_backward_time: 99.8338165283, weight_update_time: 0.1622906029, other_time: 2.3596191406
epoch time: 14.1640062332s, input_fired_time: 0.1360254139, output_fired_time: 0.0000000000, propagate_forward_time: 13.6033773422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246034622
validation[          , genome  7062] predictions:    9780/  10000 (97.80%), best:    9762/10000 (97.62%), error:       723.74731, best error:       723.36047 on epoch:    84, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 172.3808746338s, input_fired_time: 1.2170716524, output_fired_time: 0.9525327086, propagate_forward_time: 68.0192871094, propagate_backward_time: 99.8341522217, weight_update_time: 0.1622841507, other_time: 2.3578338623
epoch time: 14.1647176743s, input_fired_time: 0.1359145045, output_fired_time: 0.0000000000, propagate_forward_time: 13.6038942337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249086380
validation[          , genome  7062] predictions:    9741/  10000 (97.41%), best:    9762/10000 (97.62%), error:       849.88989, best error:       723.36047 on epoch:    84, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 172.9140472412s, input_fired_time: 1.2184890509, output_fired_time: 0.9549829960, propagate_forward_time: 68.2846527100, propagate_backward_time: 100.0960159302, weight_update_time: 0.1625092626, other_time: 2.3599014282
epoch time: 14.2370147705s, input_fired_time: 0.1349526942, output_fired_time: 0.0000000000, propagate_forward_time: 13.6762437820, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4258184433
validation[          , genome  7062] predictions:    9750/  10000 (97.50%), best:    9762/10000 (97.62%), error:       812.04773, best error:       723.36047 on epoch:    84, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 173.2150726318s, input_fired_time: 1.2186930180, output_fired_time: 0.9545444846, propagate_forward_time: 68.4445724487, propagate_backward_time: 100.2370910645, weight_update_time: 0.1627611071, other_time: 2.3601760864
epoch time: 14.2382926941s, input_fired_time: 0.1360440403, output_fired_time: 0.0000000000, propagate_forward_time: 13.6772251129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250230789
validation[          , genome  7062] predictions:    9765/  10000 (97.65%), best:    9762/10000 (97.62%), error:       753.90686, best error:       723.36047 on epoch:    84, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 172.4744110107s, input_fired_time: 1.2167695761, output_fired_time: 0.9536086321, propagate_forward_time: 68.0499572754, propagate_backward_time: 99.8942108154, weight_update_time: 0.1624870896, other_time: 2.3598632812
epoch time: 14.1719284058s, input_fired_time: 0.1367490590, output_fired_time: 0.0000000000, propagate_forward_time: 13.6087751389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4264039993
validation[          , genome  7062] predictions:    9781/  10000 (97.81%), best:    9781/10000 (97.81%), error:       713.40656, best error:       713.40656 on epoch:    90, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 172.4409637451s, input_fired_time: 1.2217588425, output_fired_time: 0.9527151585, propagate_forward_time: 68.0276870728, propagate_backward_time: 99.8768463135, weight_update_time: 0.1624031663, other_time: 2.3619613647
epoch time: 14.1656761169s, input_fired_time: 0.1367107630, output_fired_time: 0.0000000000, propagate_forward_time: 13.6032266617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4257383347
validation[          , genome  7062] predictions:    9744/  10000 (97.44%), best:    9781/10000 (97.81%), error:       871.88806, best error:       713.40656 on epoch:    90, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 172.3746948242s, input_fired_time: 1.2203269005, output_fired_time: 0.9539743662, propagate_forward_time: 68.0132141113, propagate_backward_time: 99.8253097534, weight_update_time: 0.1625503153, other_time: 2.3618698120
epoch time: 14.1650638580s, input_fired_time: 0.1370157152, output_fired_time: 0.0000000000, propagate_forward_time: 13.6026144028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4254341125
validation[          , genome  7062] predictions:    9758/  10000 (97.58%), best:    9781/10000 (97.81%), error:       799.75488, best error:       713.40656 on epoch:    90, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 174.6135101318s, input_fired_time: 1.2306606770, output_fired_time: 0.9611998200, propagate_forward_time: 68.9798431396, propagate_backward_time: 101.0746765137, weight_update_time: 0.1649240702, other_time: 2.3671264648
epoch time: 14.3769207001s, input_fired_time: 0.1358639300, output_fired_time: 0.0000000000, propagate_forward_time: 13.8147420883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4263143539
validation[          , genome  7062] predictions:    9739/  10000 (97.39%), best:    9781/10000 (97.81%), error:       832.26276, best error:       713.40656 on epoch:    90, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 174.8438110352s, input_fired_time: 1.2334482670, output_fired_time: 0.9622778893, propagate_forward_time: 69.1129760742, propagate_backward_time: 101.1666412354, weight_update_time: 0.1651892364, other_time: 2.3684692383
epoch time: 14.3792390823s, input_fired_time: 0.1363933086, output_fired_time: 0.0000000000, propagate_forward_time: 13.8166542053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4261913300
validation[          , genome  7062] predictions:    9749/  10000 (97.49%), best:    9781/10000 (97.81%), error:       746.76074, best error:       713.40656 on epoch:    90, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 174.8450164795s, input_fired_time: 1.2351251841, output_fired_time: 0.9611346722, propagate_forward_time: 69.1048660278, propagate_backward_time: 101.1757888794, weight_update_time: 0.1651349217, other_time: 2.3681030273
epoch time: 14.3767709732s, input_fired_time: 0.1371604502, output_fired_time: 0.0000000000, propagate_forward_time: 13.8137493134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4258613586
validation[          , genome  7062] predictions:    9783/  10000 (97.83%), best:    9781/10000 (97.81%), error:       745.75177, best error:       713.40656 on epoch:    90, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 174.4023895264s, input_fired_time: 1.2361688614, output_fired_time: 0.9647542834, propagate_forward_time: 68.8836975098, propagate_backward_time: 100.9492340088, weight_update_time: 0.1648322940, other_time: 2.3685302734
epoch time: 14.3057441711s, input_fired_time: 0.1373955309, output_fired_time: 0.0000000000, propagate_forward_time: 13.7410774231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4272708893
validation[          , genome  7062] predictions:    9769/  10000 (97.69%), best:    9781/10000 (97.81%), error:       746.71021, best error:       713.40656 on epoch:    90, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 173.9555664062s, input_fired_time: 1.2344629765, output_fired_time: 0.9571453333, propagate_forward_time: 68.7034606934, propagate_backward_time: 100.6937789917, weight_update_time: 0.1643238217, other_time: 2.3667221069
epoch time: 14.3069276810s, input_fired_time: 0.1370624751, output_fired_time: 0.0000000000, propagate_forward_time: 13.7423858643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4274797440
validation[          , genome  7062] predictions:    9776/  10000 (97.76%), best:    9781/10000 (97.81%), error:       714.00409, best error:       713.40656 on epoch:    90, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 173.9555816650s, input_fired_time: 1.2341902256, output_fired_time: 0.9569612741, propagate_forward_time: 68.7065658569, propagate_backward_time: 100.6921157837, weight_update_time: 0.1641453803, other_time: 2.3657531738
epoch time: 14.3209362030s, input_fired_time: 0.1367796957, output_fired_time: 0.0000000000, propagate_forward_time: 13.7574253082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4267311096
validation[          , genome  7062] predictions:    9737/  10000 (97.37%), best:    9781/10000 (97.81%), error:       810.98804, best error:       713.40656 on epoch:    90, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 173.9494628906s, input_fired_time: 1.2329459190, output_fired_time: 0.9566132426, propagate_forward_time: 68.7085723877, propagate_backward_time: 100.6846542358, weight_update_time: 0.1641237438, other_time: 2.3666763306
epoch time: 14.3107242584s, input_fired_time: 0.1376838535, output_fired_time: 0.0000000000, propagate_forward_time: 13.7461729050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4268674850
validation[          , genome  7062] predictions:    9755/  10000 (97.55%), best:    9781/10000 (97.81%), error:       768.50842, best error:       713.40656 on epoch:    90, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 173.9513854980s, input_fired_time: 1.2300434113, output_fired_time: 0.9568265676, propagate_forward_time: 68.7051544189, propagate_backward_time: 100.6933288574, weight_update_time: 0.1641098112, other_time: 2.3660278320
epoch time: 14.3054714203s, input_fired_time: 0.1370105892, output_fired_time: 0.0000000000, propagate_forward_time: 13.7415990829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4268617630
validation[          , genome  7062] predictions:    9745/  10000 (97.45%), best:    9781/10000 (97.81%), error:       846.06152, best error:       713.40656 on epoch:    90, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 71.5583343506s, input_fired_time: 0.6925519705, output_fired_time: 0.0000000000, propagate_forward_time: 68.7050094604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1607742310
best training[          , genome  7062] predictions:   49711/  50000 (99.42%), best:    9781/10000 (97.81%), error:      1178.25928, best error:       713.40656 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 14.3086318970s, input_fired_time: 0.1357720494, output_fired_time: 0.0000000000, propagate_forward_time: 13.7457942963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4270658493
   testing[          , genome  7062] predictions:    9818/  10000 (98.18%), best:    9781/10000 (97.81%), error:       604.57104, best error:       713.40656 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
08:15:43 (11455): called boinc_finish(0)

</stderr_txt>
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