Nameexact_genome_1512568488_45_4492_0
Workunit2593699
Created7 Dec 2017, 10:12:01 UTC
Sent7 Dec 2017, 10:13:37 UTC
Report deadline11 Dec 2017, 20:31:48 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 8 min 58 sec
CPU time1 hours 51 min 54 sec
Validate stateValid
Credit1,107.33
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.05 MB
Peak swap size156.81 MB
Peak disk usage1.63 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4213604927
validation[          , genome  4492] predictions:    9562/  10000 (95.62%), best:    9562/10000 (95.62%), error:      1499.65564, best error:      1499.65564 on epoch:    20, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 87.4014892578s, input_fired_time: 0.6042814255, output_fired_time: 0.5147683024, propagate_forward_time: 33.2060279846, propagate_backward_time: 50.9883460999, weight_update_time: 0.0979904830, other_time: 2.0880661011
epoch time: 7.8608016968s, input_fired_time: 0.0797514245, output_fired_time: 0.0000000000, propagate_forward_time: 6.8789482117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9021019936
validation[          , genome  4492] predictions:    9519/  10000 (95.19%), best:    9562/10000 (95.62%), error:      1592.97522, best error:      1499.65564 on epoch:    20, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

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_1512568488_45_4492.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_4492_0_r65205484_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: 0.831469
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00404417
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000161767
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: 22
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 20
read number_validation_images: 10000
read best_validation_predictions: 9562
read best_validation_error: 1499.66
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: 4492
read normal distribution: '1 0 0'
generator_str: '694070239'
read generator: 694070239
read generated_by_map:
1 disable_node 1
reading 18 nodes.
reading 30 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: 50.2847023010254s, input_fired_time: 0.521158933639526, output_fired_time: 0.405082643032074, propagate_forward_time: 18.1527366638184, propagate_backward_time: 29.4690399169922, weight_update_time: 0.0782441571354866, other_time: 1.7366828918457
epoch time: 3.80455636978149s, input_fired_time: 0.0601648390293121, output_fired_time: 0, propagate_forward_time: 3.44509077072144, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.299300670623779
validation[          , genome  4492] predictions:    9476/  10000 (94.76%), best:    9562/10000 (95.62%), error:      1663.52612, best error:      1499.65564 on epoch:    20, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 51.5618286133s, input_fired_time: 0.5297654271, output_fired_time: 0.4158038795, propagate_forward_time: 18.7727184296, propagate_backward_time: 30.0846004486, weight_update_time: 0.0796229318, other_time: 1.7589416504
epoch time: 4.7658910751s, input_fired_time: 0.0689304546, output_fired_time: 0.0000000000, propagate_forward_time: 4.3524861336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3444743156
validation[          , genome  4492] predictions:    9535/  10000 (95.35%), best:    9562/10000 (95.62%), error:      1564.22009, best error:      1499.65564 on epoch:    20, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 48.5503425598s, input_fired_time: 0.5123438239, output_fired_time: 0.3943918645, propagate_forward_time: 17.4816226959, propagate_backward_time: 28.4712638855, weight_update_time: 0.0760450885, other_time: 1.6907215118
epoch time: 3.4482836723s, input_fired_time: 0.0568833388, output_fired_time: 0.0000000000, propagate_forward_time: 3.1116371155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2797632217
validation[          , genome  4492] predictions:    9552/  10000 (95.52%), best:    9562/10000 (95.62%), error:      1500.42029, best error:      1499.65564 on epoch:    20, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 52.4297599792s, input_fired_time: 0.5346150398, output_fired_time: 0.4228284061, propagate_forward_time: 19.0376148224, propagate_backward_time: 30.6538486481, weight_update_time: 0.0808247328, other_time: 1.7808513641
epoch time: 5.1238694191s, input_fired_time: 0.0731161237, output_fired_time: 0.0000000000, propagate_forward_time: 4.6847066879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3660464287
validation[          , genome  4492] predictions:    9553/  10000 (95.53%), best:    9553/10000 (95.53%), error:      1465.90955, best error:      1465.90955 on epoch:    25, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 47.0914039612s, input_fired_time: 0.5049852133, output_fired_time: 0.3834238946, propagate_forward_time: 16.9096450806, propagate_backward_time: 27.6395072937, weight_update_time: 0.0741137341, other_time: 1.6538429260
epoch time: 3.4636793137s, input_fired_time: 0.0573385358, output_fired_time: 0.0000000000, propagate_forward_time: 3.1243703365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2819705009
validation[          , genome  4492] predictions:    9537/  10000 (95.37%), best:    9553/10000 (95.53%), error:      1565.98010, best error:      1465.90955 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 48.3732643127s, input_fired_time: 0.5131887197, output_fired_time: 0.3939960897, propagate_forward_time: 17.3984584808, propagate_backward_time: 28.3773880005, weight_update_time: 0.0757839680, other_time: 1.6902332306
epoch time: 3.4777739048s, input_fired_time: 0.0577860251, output_fired_time: 0.0000000000, propagate_forward_time: 3.1383192539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2816686630
validation[          , genome  4492] predictions:    9515/  10000 (95.15%), best:    9553/10000 (95.53%), error:      1631.79272, best error:      1465.90955 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 47.2786865234s, input_fired_time: 0.5074962378, output_fired_time: 0.3858530223, propagate_forward_time: 16.9355430603, propagate_backward_time: 27.7859363556, weight_update_time: 0.0743088424, other_time: 1.6638584137
epoch time: 3.8150413036s, input_fired_time: 0.0608821660, output_fired_time: 0.0000000000, propagate_forward_time: 3.4554448128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2987143993
validation[          , genome  4492] predictions:    9556/  10000 (95.56%), best:    9556/10000 (95.56%), error:      1463.07776, best error:      1463.07776 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 47.0068931580s, input_fired_time: 0.5061750412, output_fired_time: 0.3840757906, propagate_forward_time: 16.8483657837, propagate_backward_time: 27.6187629700, weight_update_time: 0.0737307891, other_time: 1.6495132446
epoch time: 3.4557399750s, input_fired_time: 0.0567476861, output_fired_time: 0.0000000000, propagate_forward_time: 3.1188914776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2801008224
validation[          , genome  4492] predictions:    9555/  10000 (95.55%), best:    9556/10000 (95.56%), error:      1471.09998, best error:      1463.07776 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 44.3479156494s, input_fired_time: 0.4922900200, output_fired_time: 0.3653534055, propagate_forward_time: 15.7821340561, propagate_backward_time: 26.1232986450, weight_update_time: 0.0706095845, other_time: 1.5848388672
epoch time: 3.7971682549s, input_fired_time: 0.0598448254, output_fired_time: 0.0000000000, propagate_forward_time: 3.4395303726, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2977931499
validation[          , genome  4492] predictions:    9568/  10000 (95.68%), best:    9568/10000 (95.68%), error:      1453.92700, best error:      1453.92700 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 46.6704177856s, input_fired_time: 0.5034886599, output_fired_time: 0.3810856044, propagate_forward_time: 16.7235069275, propagate_backward_time: 27.4213218689, weight_update_time: 0.0733790398, other_time: 1.6410140991
epoch time: 4.4137187004s, input_fired_time: 0.0664257109, output_fired_time: 0.0000000000, propagate_forward_time: 4.0194797516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3278131485
validation[          , genome  4492] predictions:    9542/  10000 (95.42%), best:    9568/10000 (95.68%), error:      1553.94788, best error:      1453.92700 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 47.1560478210s, input_fired_time: 0.5066080093, output_fired_time: 0.3865211010, propagate_forward_time: 16.9287300110, propagate_backward_time: 27.6761035919, weight_update_time: 0.0743032172, other_time: 1.6580867767
epoch time: 3.4612386227s, input_fired_time: 0.0571977422, output_fired_time: 0.0000000000, propagate_forward_time: 3.1189503670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2850904465
validation[          , genome  4492] predictions:    9477/  10000 (94.77%), best:    9568/10000 (95.68%), error:      1653.24854, best error:      1453.92700 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 47.3612251282s, input_fired_time: 0.5089086890, output_fired_time: 0.3873029351, propagate_forward_time: 17.0051822662, propagate_backward_time: 27.8048763275, weight_update_time: 0.0739822164, other_time: 1.6549568176
epoch time: 4.9501147270s, input_fired_time: 0.0720854402, output_fired_time: 0.0000000000, propagate_forward_time: 4.5225954056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3554339409
validation[          , genome  4492] predictions:    9575/  10000 (95.75%), best:    9575/10000 (95.75%), error:      1430.10425, best error:      1430.10425 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 49.1018638611s, input_fired_time: 0.5186906457, output_fired_time: 0.3983603418, propagate_forward_time: 17.7167072296, propagate_backward_time: 28.7667922974, weight_update_time: 0.0769579709, other_time: 1.7013111115
epoch time: 3.4425802231s, input_fired_time: 0.0578320958, output_fired_time: 0.0000000000, propagate_forward_time: 3.1072316170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2775166035
validation[          , genome  4492] predictions:    9537/  10000 (95.37%), best:    9575/10000 (95.75%), error:      1485.75854, best error:      1430.10425 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 46.1753387451s, input_fired_time: 0.5033075809, output_fired_time: 0.3776719570, propagate_forward_time: 16.5551147461, propagate_backward_time: 27.1142940521, weight_update_time: 0.0726304352, other_time: 1.6249523163
epoch time: 3.4517085552s, input_fired_time: 0.0572427846, output_fired_time: 0.0000000000, propagate_forward_time: 3.1158080101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2786576748
validation[          , genome  4492] predictions:    9563/  10000 (95.63%), best:    9563/10000 (95.63%), error:      1423.33740, best error:      1423.33740 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 45.3785743713s, input_fired_time: 0.4988881946, output_fired_time: 0.3728781641, propagate_forward_time: 16.2275085449, propagate_backward_time: 26.6777153015, weight_update_time: 0.0716479421, other_time: 1.6015815735
epoch time: 3.4526050091s, input_fired_time: 0.0574650019, output_fired_time: 0.0000000000, propagate_forward_time: 3.1146807671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2804591656
validation[          , genome  4492] predictions:    9512/  10000 (95.12%), best:    9563/10000 (95.63%), error:      1601.42896, best error:      1423.33740 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 45.9804649353s, input_fired_time: 0.5012434721, output_fired_time: 0.3768237531, propagate_forward_time: 16.4693546295, propagate_backward_time: 27.0209197998, weight_update_time: 0.0722644106, other_time: 1.6121234894
epoch time: 3.4560542107s, input_fired_time: 0.0576846562, output_fired_time: 0.0000000000, propagate_forward_time: 3.1190593243, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2793102264
validation[          , genome  4492] predictions:    9527/  10000 (95.27%), best:    9563/10000 (95.63%), error:      1502.53748, best error:      1423.33740 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 45.0437393188s, input_fired_time: 0.4969195426, output_fired_time: 0.3694244623, propagate_forward_time: 16.1109485626, propagate_backward_time: 26.4700393677, weight_update_time: 0.0711804628, other_time: 1.5964107513
epoch time: 3.4536592960s, input_fired_time: 0.0570855960, output_fired_time: 0.0000000000, propagate_forward_time: 3.1188752651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2776985168
validation[          , genome  4492] predictions:    9544/  10000 (95.44%), best:    9563/10000 (95.63%), error:      1514.23535, best error:      1423.33740 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 47.2350273132s, input_fired_time: 0.5089181066, output_fired_time: 0.3854868114, propagate_forward_time: 16.9940166473, propagate_backward_time: 27.6996841431, weight_update_time: 0.0739417151, other_time: 1.6469211578
epoch time: 3.4517366886s, input_fired_time: 0.0574916117, output_fired_time: 0.0000000000, propagate_forward_time: 3.1156013012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2786438465
validation[          , genome  4492] predictions:    9525/  10000 (95.25%), best:    9563/10000 (95.63%), error:      1542.49060, best error:      1423.33740 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 45.7745628357s, input_fired_time: 0.5009448528, output_fired_time: 0.3747402728, propagate_forward_time: 16.3559188843, propagate_backward_time: 26.9269237518, weight_update_time: 0.0720877349, other_time: 1.6160335541
epoch time: 3.7777981758s, input_fired_time: 0.0606251210, output_fired_time: 0.0000000000, propagate_forward_time: 3.4218893051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2952837944
validation[          , genome  4492] predictions:    9575/  10000 (95.75%), best:    9575/10000 (95.75%), error:      1403.21045, best error:      1403.21045 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 45.4417152405s, input_fired_time: 0.4989680946, output_fired_time: 0.3736287355, propagate_forward_time: 16.2508144379, propagate_backward_time: 26.7123394012, weight_update_time: 0.0717738792, other_time: 1.6059646606
epoch time: 3.6359314919s, input_fired_time: 0.0588581748, output_fired_time: 0.0000000000, propagate_forward_time: 3.2886533737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2884199619
validation[          , genome  4492] predictions:    9581/  10000 (95.81%), best:    9581/10000 (95.81%), error:      1395.80139, best error:      1395.80139 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 46.1316070557s, input_fired_time: 0.5041444302, output_fired_time: 0.3776007593, propagate_forward_time: 16.5077075958, propagate_backward_time: 27.1203689575, weight_update_time: 0.0728419274, other_time: 1.6217861176
epoch time: 4.4616079330s, input_fired_time: 0.0675290748, output_fired_time: 0.0000000000, propagate_forward_time: 4.0618476868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3322310448
validation[          , genome  4492] predictions:    9557/  10000 (95.57%), best:    9581/10000 (95.81%), error:      1438.67615, best error:      1395.80139 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 45.9382705688s, input_fired_time: 0.5008502603, output_fired_time: 0.3761456907, propagate_forward_time: 16.3909664154, propagate_backward_time: 27.0576515198, weight_update_time: 0.0721942484, other_time: 1.6126575470
epoch time: 4.5422644615s, input_fired_time: 0.0677861050, output_fired_time: 0.0000000000, propagate_forward_time: 4.1395106316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3349676132
validation[          , genome  4492] predictions:    9527/  10000 (95.27%), best:    9581/10000 (95.81%), error:      1561.49609, best error:      1395.80139 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 51.5404281616s, input_fired_time: 0.5327581763, output_fired_time: 0.4162561893, propagate_forward_time: 18.6878070831, propagate_backward_time: 30.1544456482, weight_update_time: 0.0795262009, other_time: 1.7491626740
epoch time: 4.3004393578s, input_fired_time: 0.0663693547, output_fired_time: 0.0000000000, propagate_forward_time: 3.9125573635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3215124607
validation[          , genome  4492] predictions:    9584/  10000 (95.84%), best:    9584/10000 (95.84%), error:      1370.38989, best error:      1370.38989 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 66.8938522339s, input_fired_time: 0.8130691051, output_fired_time: 0.4561734796, propagate_forward_time: 25.7431411743, propagate_backward_time: 37.4917907715, weight_update_time: 0.0867516994, other_time: 2.3896713257
epoch time: 7.0771923065s, input_fired_time: 0.0757411942, output_fired_time: 0.0000000000, propagate_forward_time: 6.6207442284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3807067871
validation[          , genome  4492] predictions:    9575/  10000 (95.75%), best:    9584/10000 (95.84%), error:      1375.08167, best error:      1370.38989 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 86.5268783569s, input_fired_time: 0.8547335267, output_fired_time: 0.7596777081, propagate_forward_time: 32.9026107788, propagate_backward_time: 49.6644744873, weight_update_time: 0.0972371176, other_time: 2.3453826904
epoch time: 8.2133369446s, input_fired_time: 0.0847628415, output_fired_time: 0.0000000000, propagate_forward_time: 7.7043161392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4242582321
validation[          , genome  4492] predictions:    9580/  10000 (95.80%), best:    9584/10000 (95.84%), error:      1397.35315, best error:      1370.38989 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 91.0650787354s, input_fired_time: 0.6223232746, output_fired_time: 0.5334177017, propagate_forward_time: 34.0022506714, propagate_backward_time: 52.7380599976, weight_update_time: 0.1015855819, other_time: 3.1690292358
epoch time: 7.0228290558s, input_fired_time: 0.3254246414, output_fired_time: 0.0000000000, propagate_forward_time: 6.3220725060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3753318787
validation[          , genome  4492] predictions:    9584/  10000 (95.84%), best:    9584/10000 (95.84%), error:      1410.25061, best error:      1370.38989 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 90.2478942871s, input_fired_time: 1.3691074848, output_fired_time: 0.7787630558, propagate_forward_time: 32.2810974121, propagate_backward_time: 52.6622314453, weight_update_time: 0.1003691033, other_time: 3.1566925049
epoch time: 8.1006278992s, input_fired_time: 0.0834034309, output_fired_time: 0.0000000000, propagate_forward_time: 7.3471865654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6700377464
validation[          , genome  4492] predictions:    9613/  10000 (96.13%), best:    9613/10000 (96.13%), error:      1327.77844, best error:      1327.77844 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 81.4720535278s, input_fired_time: 0.5832746029, output_fired_time: 0.4811733365, propagate_forward_time: 29.7698764801, propagate_backward_time: 48.1379623413, weight_update_time: 0.0918005109, other_time: 2.4997711182
epoch time: 6.5773868561s, input_fired_time: 0.0740449354, output_fired_time: 0.0000000000, propagate_forward_time: 5.8857846260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6175575256
validation[          , genome  4492] predictions:    9567/  10000 (95.67%), best:    9613/10000 (96.13%), error:      1440.77136, best error:      1327.77844 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 95.5197448730s, input_fired_time: 0.6426144838, output_fired_time: 0.8075315952, propagate_forward_time: 35.3969230652, propagate_backward_time: 55.4256935120, weight_update_time: 0.1053892598, other_time: 3.2469787598
epoch time: 7.8238344193s, input_fired_time: 0.0805551708, output_fired_time: 0.0000000000, propagate_forward_time: 7.3382072449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4050722122
validation[          , genome  4492] predictions:    9590/  10000 (95.90%), best:    9613/10000 (96.13%), error:      1371.30286, best error:      1327.77844 on epoch:    48, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 94.4593811035s, input_fired_time: 0.8850176334, output_fired_time: 0.5488150120, propagate_forward_time: 34.6799621582, propagate_backward_time: 56.1197853088, weight_update_time: 0.1042305902, other_time: 2.2258033752
epoch time: 8.4580001831s, input_fired_time: 0.0872768164, output_fired_time: 0.0000000000, propagate_forward_time: 7.1823329926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1883907318
validation[          , genome  4492] predictions:    9526/  10000 (95.26%), best:    9613/10000 (96.13%), error:      1576.03406, best error:      1327.77844 on epoch:    48, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 97.1482849121s, input_fired_time: 1.3977463245, output_fired_time: 0.8151396513, propagate_forward_time: 36.8864097595, propagate_backward_time: 55.2762870789, weight_update_time: 0.1069370881, other_time: 2.7727050781
epoch time: 7.4344148636s, input_fired_time: 0.0764831230, output_fired_time: 0.0000000000, propagate_forward_time: 6.7236585617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6342730522
validation[          , genome  4492] predictions:    9538/  10000 (95.38%), best:    9613/10000 (96.13%), error:      1469.11084, best error:      1327.77844 on epoch:    48, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 95.3992385864s, input_fired_time: 0.6418282390, output_fired_time: 0.8035951853, propagate_forward_time: 35.8706054688, propagate_backward_time: 55.3337516785, weight_update_time: 0.1055280417, other_time: 2.7494544983
epoch time: 7.6740741730s, input_fired_time: 0.3294746876, output_fired_time: 0.0000000000, propagate_forward_time: 6.9455752373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3990244865
validation[          , genome  4492] predictions:    9492/  10000 (94.92%), best:    9613/10000 (96.13%), error:      1609.54932, best error:      1327.77844 on epoch:    48, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 92.6233825684s, input_fired_time: 0.6303350329, output_fired_time: 0.5396585464, propagate_forward_time: 35.4254188538, propagate_backward_time: 53.3362159729, weight_update_time: 0.1024974510, other_time: 2.6917572021
epoch time: 7.4365544319s, input_fired_time: 0.0795352012, output_fired_time: 0.0000000000, propagate_forward_time: 6.9594163895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3976030350
validation[          , genome  4492] predictions:    9551/  10000 (95.51%), best:    9613/10000 (96.13%), error:      1467.79663, best error:      1327.77844 on epoch:    48, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 91.0252990723s, input_fired_time: 1.1250320673, output_fired_time: 0.7828031778, propagate_forward_time: 33.2523765564, propagate_backward_time: 53.2012672424, weight_update_time: 0.1011872366, other_time: 2.6638183594
epoch time: 6.7282037735s, input_fired_time: 0.0731919259, output_fired_time: 0.0000000000, propagate_forward_time: 6.2928175926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3621940613
validation[          , genome  4492] predictions:    9506/  10000 (95.06%), best:    9613/10000 (96.13%), error:      1608.20496, best error:      1327.77844 on epoch:    48, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 87.9716491699s, input_fired_time: 1.1119401455, output_fired_time: 0.5158289671, propagate_forward_time: 31.5219154358, propagate_backward_time: 52.2091636658, weight_update_time: 0.0984633341, other_time: 2.6128005981
epoch time: 7.1341242790s, input_fired_time: 0.0765071660, output_fired_time: 0.0000000000, propagate_forward_time: 6.4235501289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6340670586
validation[          , genome  4492] predictions:    9591/  10000 (95.91%), best:    9613/10000 (96.13%), error:      1374.97900, best error:      1327.77844 on epoch:    48, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 62.0491561890s, input_fired_time: 0.5712950230, output_fired_time: 0.7127816081, propagate_forward_time: 22.9230442047, propagate_backward_time: 35.9317436218, weight_update_time: 0.0876877010, other_time: 1.9102897644
epoch time: 4.3792815208s, input_fired_time: 0.0669233799, output_fired_time: 0.0000000000, propagate_forward_time: 3.9844191074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3279387951
validation[          , genome  4492] predictions:    9491/  10000 (94.91%), best:    9613/10000 (96.13%), error:      1666.72107, best error:      1327.77844 on epoch:    48, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 55.5339927673s, input_fired_time: 0.5573547482, output_fired_time: 0.4413717389, propagate_forward_time: 20.3843154907, propagate_backward_time: 32.2980346680, weight_update_time: 0.0848352090, other_time: 1.8529167175
epoch time: 4.5676522255s, input_fired_time: 0.0694455355, output_fired_time: 0.0000000000, propagate_forward_time: 4.1594986916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3387079239
validation[          , genome  4492] predictions:    9518/  10000 (95.18%), best:    9613/10000 (96.13%), error:      1571.94604, best error:      1327.77844 on epoch:    48, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 58.4569549561s, input_fired_time: 0.5727829337, output_fired_time: 0.4638879299, propagate_forward_time: 21.5110092163, propagate_backward_time: 33.9937858582, weight_update_time: 0.0883522555, other_time: 1.9154891968
epoch time: 4.3844890594s, input_fired_time: 0.0673493743, output_fired_time: 0.0000000000, propagate_forward_time: 3.9898614883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3272781372
validation[          , genome  4492] predictions:    9574/  10000 (95.74%), best:    9613/10000 (96.13%), error:      1366.23083, best error:      1327.77844 on epoch:    48, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 60.1615447998s, input_fired_time: 0.5802564621, output_fired_time: 0.4758061171, propagate_forward_time: 22.1516857147, propagate_backward_time: 34.9965820313, weight_update_time: 0.0907464474, other_time: 1.9572143555
epoch time: 4.1713576317s, input_fired_time: 0.0652711093, output_fired_time: 0.0000000000, propagate_forward_time: 3.7882556915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3178310394
validation[          , genome  4492] predictions:    9577/  10000 (95.77%), best:    9613/10000 (96.13%), error:      1411.13477, best error:      1327.77844 on epoch:    48, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 59.7138557434s, input_fired_time: 0.5816541314, output_fired_time: 0.4729002416, propagate_forward_time: 22.1208591461, propagate_backward_time: 34.5938835144, weight_update_time: 0.0902856365, other_time: 1.9445610046
epoch time: 4.8138356209s, input_fired_time: 0.0717050508, output_fired_time: 0.0000000000, propagate_forward_time: 4.3934307098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3487000465
validation[          , genome  4492] predictions:    9574/  10000 (95.74%), best:    9613/10000 (96.13%), error:      1431.75757, best error:      1327.77844 on epoch:    48, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 53.7664375305s, input_fired_time: 0.5483085513, output_fired_time: 0.4332478940, propagate_forward_time: 19.5346813202, propagate_backward_time: 31.4486255646, weight_update_time: 0.0823407769, other_time: 1.8015727997
epoch time: 3.4508788586s, input_fired_time: 0.0583819970, output_fired_time: 0.0000000000, propagate_forward_time: 3.1108300686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2816667557
validation[          , genome  4492] predictions:    9562/  10000 (95.62%), best:    9613/10000 (96.13%), error:      1431.86194, best error:      1327.77844 on epoch:    48, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 56.8326911926s, input_fired_time: 0.5642685890, output_fired_time: 0.4520415366, propagate_forward_time: 20.8517360687, propagate_backward_time: 33.0839042664, weight_update_time: 0.0867133066, other_time: 1.8807411194
epoch time: 3.7081003189s, input_fired_time: 0.0608514361, output_fired_time: 0.0000000000, propagate_forward_time: 3.3531236649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2941253185
validation[          , genome  4492] predictions:    9592/  10000 (95.92%), best:    9613/10000 (96.13%), error:      1342.87122, best error:      1327.77844 on epoch:    48, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 58.2513084412s, input_fired_time: 0.5747861266, output_fired_time: 0.4639022052, propagate_forward_time: 21.4683074951, propagate_backward_time: 33.8319892883, weight_update_time: 0.0882698074, other_time: 1.9123229980
epoch time: 4.7945485115s, input_fired_time: 0.0715217292, output_fired_time: 0.0000000000, propagate_forward_time: 4.3739023209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3491244316
validation[          , genome  4492] predictions:    9526/  10000 (95.26%), best:    9613/10000 (96.13%), error:      1505.22559, best error:      1327.77844 on epoch:    48, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 58.0822715759s, input_fired_time: 0.5717491508, output_fired_time: 0.4593838751, propagate_forward_time: 21.3594417572, propagate_backward_time: 33.7812080383, weight_update_time: 0.0880849883, other_time: 1.9104881287
epoch time: 4.4023466110s, input_fired_time: 0.0671732277, output_fired_time: 0.0000000000, propagate_forward_time: 4.0057682991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3294053078
validation[          , genome  4492] predictions:    9547/  10000 (95.47%), best:    9613/10000 (96.13%), error:      1446.66638, best error:      1327.77844 on epoch:    48, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 54.7831459045s, input_fired_time: 0.5551734567, output_fired_time: 0.4376382232, propagate_forward_time: 20.0599842072, propagate_backward_time: 31.8916873932, weight_update_time: 0.0842347294, other_time: 1.8386669159
epoch time: 4.3168983459s, input_fired_time: 0.0665311515, output_fired_time: 0.0000000000, propagate_forward_time: 3.9270555973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3233115673
validation[          , genome  4492] predictions:    9569/  10000 (95.69%), best:    9613/10000 (96.13%), error:      1418.62402, best error:      1327.77844 on epoch:    48, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 59.1701889038s, input_fired_time: 0.5783505440, output_fired_time: 0.4693407416, propagate_forward_time: 21.8547630310, propagate_backward_time: 34.3373641968, weight_update_time: 0.0891556591, other_time: 1.9303703308
epoch time: 4.7560625076s, input_fired_time: 0.0711449012, output_fired_time: 0.0000000000, propagate_forward_time: 4.3382430077, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3466744423
validation[          , genome  4492] predictions:    9604/  10000 (96.04%), best:    9604/10000 (96.04%), error:      1290.35486, best error:      1290.35486 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 58.3049545288s, input_fired_time: 0.5738739371, output_fired_time: 0.4629918337, propagate_forward_time: 21.4485492706, propagate_backward_time: 33.9032402039, weight_update_time: 0.0887961611, other_time: 1.9162940979
epoch time: 4.2651743889s, input_fired_time: 0.0663079098, output_fired_time: 0.0000000000, propagate_forward_time: 3.8760933876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3227729797
validation[          , genome  4492] predictions:    9583/  10000 (95.83%), best:    9604/10000 (96.04%), error:      1388.91638, best error:      1290.35486 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 55.6512222290s, input_fired_time: 0.5614050627, output_fired_time: 0.4441565871, propagate_forward_time: 20.4353294373, propagate_backward_time: 32.3536453247, weight_update_time: 0.0852847472, other_time: 1.8566856384
epoch time: 4.1747789383s, input_fired_time: 0.0645706877, output_fired_time: 0.0000000000, propagate_forward_time: 3.7931516171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3170564175
validation[          , genome  4492] predictions:    9547/  10000 (95.47%), best:    9604/10000 (96.04%), error:      1527.34326, best error:      1290.35486 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 56.6830749512s, input_fired_time: 0.5652542114, output_fired_time: 0.4516082108, propagate_forward_time: 20.7786464691, propagate_backward_time: 33.0045471191, weight_update_time: 0.0868162289, other_time: 1.8830184937
epoch time: 3.9418370724s, input_fired_time: 0.0637053847, output_fired_time: 0.0000000000, propagate_forward_time: 3.5729918480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3051397800
validation[          , genome  4492] predictions:    9577/  10000 (95.77%), best:    9604/10000 (96.04%), error:      1413.46350, best error:      1290.35486 on epoch:    67, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 56.4114646912s, input_fired_time: 0.5633648634, output_fired_time: 0.4488772750, propagate_forward_time: 20.6522579193, propagate_backward_time: 32.8716697693, weight_update_time: 0.0863350183, other_time: 1.8752937317
epoch time: 4.7836966515s, input_fired_time: 0.0716323406, output_fired_time: 0.0000000000, propagate_forward_time: 4.3627138138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3493504524
validation[          , genome  4492] predictions:    9541/  10000 (95.41%), best:    9604/10000 (96.04%), error:      1446.17041, best error:      1290.35486 on epoch:    67, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 60.5496444702s, input_fired_time: 0.5866791010, output_fired_time: 0.4782845974, propagate_forward_time: 22.3451862335, propagate_backward_time: 35.1693763733, weight_update_time: 0.0916214064, other_time: 1.9701194763
epoch time: 5.0949501991s, input_fired_time: 0.0746972337, output_fired_time: 0.0000000000, propagate_forward_time: 4.6562294960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3640236855
validation[          , genome  4492] predictions:    9587/  10000 (95.87%), best:    9604/10000 (96.04%), error:      1370.37109, best error:      1290.35486 on epoch:    67, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 61.1201705933s, input_fired_time: 0.5908697248, output_fired_time: 0.4819900692, propagate_forward_time: 22.5776405334, propagate_backward_time: 35.4821510315, weight_update_time: 0.0919547752, other_time: 1.9875183105
epoch time: 4.3199682236s, input_fired_time: 0.0677707121, output_fired_time: 0.0000000000, propagate_forward_time: 3.9262287617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3259689808
validation[          , genome  4492] predictions:    9574/  10000 (95.74%), best:    9604/10000 (96.04%), error:      1431.29346, best error:      1290.35486 on epoch:    67, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 60.1988258362s, input_fired_time: 0.5867646337, output_fired_time: 0.4767798781, propagate_forward_time: 22.2070980072, propagate_backward_time: 34.9572029114, weight_update_time: 0.0912830159, other_time: 1.9709815979
epoch time: 5.4882340431s, input_fired_time: 0.0782562196, output_fired_time: 0.0000000000, propagate_forward_time: 5.0247182846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3852596283
validation[          , genome  4492] predictions:    9570/  10000 (95.70%), best:    9604/10000 (96.04%), error:      1424.09900, best error:      1290.35486 on epoch:    67, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 61.1532936096s, input_fired_time: 0.5888044834, output_fired_time: 0.4817059636, propagate_forward_time: 22.5762500763, propagate_backward_time: 35.5171928406, weight_update_time: 0.0920761153, other_time: 1.9893379211
epoch time: 5.0259528160s, input_fired_time: 0.0740515888, output_fired_time: 0.0000000000, propagate_forward_time: 4.5893845558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3625168800
validation[          , genome  4492] predictions:    9587/  10000 (95.87%), best:    9604/10000 (96.04%), error:      1393.02393, best error:      1290.35486 on epoch:    67, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 59.3548698425s, input_fired_time: 0.5799716711, output_fired_time: 0.4692274928, propagate_forward_time: 21.8746166229, propagate_backward_time: 34.4818344116, weight_update_time: 0.0900137052, other_time: 1.9492187500
epoch time: 4.5427999496s, input_fired_time: 0.0696943849, output_fired_time: 0.0000000000, propagate_forward_time: 4.1349625587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3381428719
validation[          , genome  4492] predictions:    9597/  10000 (95.97%), best:    9604/10000 (96.04%), error:      1344.70020, best error:      1290.35486 on epoch:    67, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 76.4219970703s, input_fired_time: 0.6074774861, output_fired_time: 0.7534530759, propagate_forward_time: 28.1590023041, propagate_backward_time: 44.5806274414, weight_update_time: 0.0967706218, other_time: 2.3214340210
epoch time: 8.1648368835s, input_fired_time: 0.0851063877, output_fired_time: 0.0000000000, propagate_forward_time: 7.4053568840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6743731499
validation[          , genome  4492] predictions:    9546/  10000 (95.46%), best:    9604/10000 (96.04%), error:      1509.74194, best error:      1290.35486 on epoch:    67, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 93.6516113281s, input_fired_time: 1.1391177177, output_fired_time: 0.5460654497, propagate_forward_time: 35.8262901306, propagate_backward_time: 52.4229888916, weight_update_time: 0.1041328460, other_time: 3.7171516418
epoch time: 8.3642749786s, input_fired_time: 0.0871938691, output_fired_time: 0.0000000000, propagate_forward_time: 7.5946354866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6824460030
validation[          , genome  4492] predictions:    9598/  10000 (95.98%), best:    9604/10000 (96.04%), error:      1374.37854, best error:      1290.35486 on epoch:    67, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 93.9613265991s, input_fired_time: 0.8902320862, output_fired_time: 0.7961617112, propagate_forward_time: 34.6176490784, propagate_backward_time: 54.1849899292, weight_update_time: 0.1043298915, other_time: 3.4722862244
epoch time: 7.4448733330s, input_fired_time: 0.3312983513, output_fired_time: 0.0000000000, propagate_forward_time: 6.7134213448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4001536369
validation[          , genome  4492] predictions:    9602/  10000 (96.02%), best:    9604/10000 (96.04%), error:      1331.38818, best error:      1290.35486 on epoch:    67, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 94.4009094238s, input_fired_time: 0.6432458162, output_fired_time: 0.5493391752, propagate_forward_time: 35.2364807129, propagate_backward_time: 54.9965057373, weight_update_time: 0.3544722497, other_time: 2.9753341675
epoch time: 8.0708570480s, input_fired_time: 0.0842641294, output_fired_time: 0.0000000000, propagate_forward_time: 7.3164963722, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6700963974
validation[          , genome  4492] predictions:    9575/  10000 (95.75%), best:    9604/10000 (96.04%), error:      1441.93262, best error:      1290.35486 on epoch:    67, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 93.2259292603s, input_fired_time: 0.8888415098, output_fired_time: 1.2928295135, propagate_forward_time: 33.9654197693, propagate_backward_time: 54.8646316528, weight_update_time: 0.1038015857, other_time: 2.2142066956
epoch time: 7.0520853996s, input_fired_time: 0.0770222694, output_fired_time: 0.0000000000, propagate_forward_time: 6.5966701508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3783931732
validation[          , genome  4492] predictions:    9584/  10000 (95.84%), best:    9604/10000 (96.04%), error:      1378.47119, best error:      1290.35486 on epoch:    67, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 93.9442749023s, input_fired_time: 1.3922985792, output_fired_time: 0.5467940569, propagate_forward_time: 34.3479042053, propagate_backward_time: 54.6891784668, weight_update_time: 0.1039275229, other_time: 2.9681053162
epoch time: 7.9744005203s, input_fired_time: 0.0833190084, output_fired_time: 0.0000000000, propagate_forward_time: 7.4781475067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4129338264
validation[          , genome  4492] predictions:    9570/  10000 (95.70%), best:    9604/10000 (96.04%), error:      1392.73889, best error:      1290.35486 on epoch:    67, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 97.9114608765s, input_fired_time: 1.4087399244, output_fired_time: 0.8181799054, propagate_forward_time: 38.3500442505, propagate_backward_time: 54.2934532166, weight_update_time: 0.1082805991, other_time: 3.0410499573
epoch time: 7.9737925529s, input_fired_time: 0.0838463455, output_fired_time: 0.0000000000, propagate_forward_time: 7.4771218300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4128241539
validation[          , genome  4492] predictions:    9530/  10000 (95.30%), best:    9604/10000 (96.04%), error:      1517.71704, best error:      1290.35486 on epoch:    67, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 99.5818023682s, input_fired_time: 0.6642531157, output_fired_time: 1.0777515173, propagate_forward_time: 38.2037353516, propagate_backward_time: 56.5759849548, weight_update_time: 0.1089037210, other_time: 3.0600776672
epoch time: 8.3110008240s, input_fired_time: 0.0873121545, output_fired_time: 0.0000000000, propagate_forward_time: 7.7921886444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4315004349
validation[          , genome  4492] predictions:    9587/  10000 (95.87%), best:    9604/10000 (96.04%), error:      1360.21521, best error:      1290.35486 on epoch:    67, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 68.4901504517s, input_fired_time: 0.8724614978, output_fired_time: 0.5190979242, propagate_forward_time: 24.7723426819, propagate_backward_time: 39.9572105408, weight_update_time: 0.0989876688, other_time: 2.3690414429
epoch time: 5.1354947090s, input_fired_time: 0.0755384564, output_fired_time: 0.0000000000, propagate_forward_time: 4.6940207481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3659353256
validation[          , genome  4492] predictions:    9586/  10000 (95.86%), best:    9604/10000 (96.04%), error:      1354.84717, best error:      1290.35486 on epoch:    67, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 64.8859100342s, input_fired_time: 0.6144843102, output_fired_time: 0.5092945695, propagate_forward_time: 24.1509513855, propagate_backward_time: 37.5328903198, weight_update_time: 0.0972607061, other_time: 2.0782852173
epoch time: 5.4118323326s, input_fired_time: 0.0785829052, output_fired_time: 0.0000000000, propagate_forward_time: 4.9515056610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3817439079
validation[          , genome  4492] predictions:    9546/  10000 (95.46%), best:    9604/10000 (96.04%), error:      1500.16492, best error:      1290.35486 on epoch:    67, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 65.4483413696s, input_fired_time: 0.6183810234, output_fired_time: 0.5121285319, propagate_forward_time: 24.3261051178, propagate_backward_time: 37.9034652710, weight_update_time: 0.0977450758, other_time: 2.0882644653
epoch time: 5.4161510468s, input_fired_time: 0.0787738487, output_fired_time: 0.0000000000, propagate_forward_time: 4.9568262100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3805508614
validation[          , genome  4492] predictions:    9577/  10000 (95.77%), best:    9604/10000 (96.04%), error:      1411.90442, best error:      1290.35486 on epoch:    67, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 65.1504516602s, input_fired_time: 0.6157795787, output_fired_time: 0.5084513426, propagate_forward_time: 24.2363796234, propagate_backward_time: 37.7038612366, weight_update_time: 0.0971889719, other_time: 2.0859794617
epoch time: 5.2653665543s, input_fired_time: 0.0770191997, output_fired_time: 0.0000000000, propagate_forward_time: 4.8144488335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3738985062
validation[          , genome  4492] predictions:    9584/  10000 (95.84%), best:    9604/10000 (96.04%), error:      1362.75793, best error:      1290.35486 on epoch:    67, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 65.2147903442s, input_fired_time: 0.6172627211, output_fired_time: 0.5095883012, propagate_forward_time: 24.2433223724, propagate_backward_time: 37.7572402954, weight_update_time: 0.0975545421, other_time: 2.0873718262
epoch time: 5.3000721931s, input_fired_time: 0.0772045106, output_fired_time: 0.0000000000, propagate_forward_time: 4.8459434509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3769240379
validation[          , genome  4492] predictions:    9552/  10000 (95.52%), best:    9604/10000 (96.04%), error:      1449.95850, best error:      1290.35486 on epoch:    67, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 65.8952789307s, input_fired_time: 0.6193762422, output_fired_time: 0.5118883848, propagate_forward_time: 24.4408855438, propagate_backward_time: 38.2118759155, weight_update_time: 0.0985959992, other_time: 2.1112518311
epoch time: 5.2357773781s, input_fired_time: 0.0769904926, output_fired_time: 0.0000000000, propagate_forward_time: 4.7843756676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3744111061
validation[          , genome  4492] predictions:    9553/  10000 (95.53%), best:    9604/10000 (96.04%), error:      1466.92151, best error:      1290.35486 on epoch:    67, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 66.2479553223s, input_fired_time: 0.6255106926, output_fired_time: 0.5191808939, propagate_forward_time: 24.4957847595, propagate_backward_time: 38.4919548035, weight_update_time: 0.0989246890, other_time: 2.1155242920
epoch time: 5.5152959824s, input_fired_time: 0.0793918744, output_fired_time: 0.0000000000, propagate_forward_time: 5.0488781929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3870258331
validation[          , genome  4492] predictions:    9567/  10000 (95.67%), best:    9604/10000 (96.04%), error:      1422.66931, best error:      1290.35486 on epoch:    67, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 66.9656906128s, input_fired_time: 0.6260592937, output_fired_time: 0.5208986998, propagate_forward_time: 24.9020156860, propagate_backward_time: 38.7840881348, weight_update_time: 0.0999553651, other_time: 2.1326293945
epoch time: 5.5892395973s, input_fired_time: 0.0804414749, output_fired_time: 0.0000000000, propagate_forward_time: 5.1174554825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3913426399
validation[          , genome  4492] predictions:    9546/  10000 (95.46%), best:    9604/10000 (96.04%), error:      1480.53198, best error:      1290.35486 on epoch:    67, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 67.7123184204s, input_fired_time: 0.6313756108, output_fired_time: 0.5276141167, propagate_forward_time: 25.2339096069, propagate_backward_time: 39.1688385010, weight_update_time: 0.1007576808, other_time: 2.1505813599
epoch time: 5.3977932930s, input_fired_time: 0.0785669908, output_fired_time: 0.0000000000, propagate_forward_time: 4.9345378876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3846883774
validation[          , genome  4492] predictions:    9573/  10000 (95.73%), best:    9604/10000 (96.04%), error:      1388.03772, best error:      1290.35486 on epoch:    67, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 67.5974197388s, input_fired_time: 0.6354073286, output_fired_time: 0.5285487771, propagate_forward_time: 25.1496067047, propagate_backward_time: 39.1449737549, weight_update_time: 0.1002236828, other_time: 2.1388854980
epoch time: 5.3973803520s, input_fired_time: 0.0782598034, output_fired_time: 0.0000000000, propagate_forward_time: 4.9407219887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3783984184
validation[          , genome  4492] predictions:    9524/  10000 (95.24%), best:    9604/10000 (96.04%), error:      1520.70825, best error:      1290.35486 on epoch:    67, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 67.5264816284s, input_fired_time: 0.6289066672, output_fired_time: 0.5259574652, propagate_forward_time: 25.1300697327, propagate_backward_time: 39.0969810486, weight_update_time: 0.1007151976, other_time: 2.1445693970
epoch time: 5.6432366371s, input_fired_time: 0.0809335113, output_fired_time: 0.0000000000, propagate_forward_time: 5.1684870720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3938159943
validation[          , genome  4492] predictions:    9587/  10000 (95.87%), best:    9604/10000 (96.04%), error:      1390.78955, best error:      1290.35486 on epoch:    67, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 68.1414947510s, input_fired_time: 0.6325559616, output_fired_time: 0.5328742266, propagate_forward_time: 25.4212398529, propagate_backward_time: 39.3943138123, weight_update_time: 0.1014740020, other_time: 2.1605110168
epoch time: 5.3434147835s, input_fired_time: 0.0783724561, output_fired_time: 0.0000000000, propagate_forward_time: 4.8837018013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3813405037
validation[          , genome  4492] predictions:    9589/  10000 (95.89%), best:    9604/10000 (96.04%), error:      1383.35962, best error:      1290.35486 on epoch:    67, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 67.7764816284s, input_fired_time: 0.6317662597, output_fired_time: 0.5280907750, propagate_forward_time: 25.2512207031, propagate_backward_time: 39.2135200500, weight_update_time: 0.1002175212, other_time: 2.1518821716
epoch time: 5.5130434036s, input_fired_time: 0.0799176618, output_fired_time: 0.0000000000, propagate_forward_time: 5.0460987091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3870272636
validation[          , genome  4492] predictions:    9522/  10000 (95.22%), best:    9604/10000 (96.04%), error:      1515.73694, best error:      1290.35486 on epoch:    67, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 68.3052978516s, input_fired_time: 0.6360260844, output_fired_time: 0.5345138311, propagate_forward_time: 25.5478172302, propagate_backward_time: 39.4234123230, weight_update_time: 0.1010484993, other_time: 2.1635284424
epoch time: 5.5696458817s, input_fired_time: 0.0806790516, output_fired_time: 0.0000000000, propagate_forward_time: 5.0985918045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3903751373
validation[          , genome  4492] predictions:    9576/  10000 (95.76%), best:    9604/10000 (96.04%), error:      1361.27832, best error:      1290.35486 on epoch:    67, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 68.3520431519s, input_fired_time: 0.6465530396, output_fired_time: 0.5280641913, propagate_forward_time: 25.5630512238, propagate_backward_time: 39.4312324524, weight_update_time: 0.1045235991, other_time: 2.1831474304
epoch time: 5.8746623993s, input_fired_time: 0.0790129676, output_fired_time: 0.0000000000, propagate_forward_time: 5.3767528534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4188966751
validation[          , genome  4492] predictions:    9563/  10000 (95.63%), best:    9604/10000 (96.04%), error:      1390.84656, best error:      1290.35486 on epoch:    67, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 68.6254577637s, input_fired_time: 0.6331219077, output_fired_time: 0.5294386744, propagate_forward_time: 25.6668090820, propagate_backward_time: 39.6007652283, weight_update_time: 0.1011622176, other_time: 2.1953163147
epoch time: 8.2053308487s, input_fired_time: 0.0899679214, output_fired_time: 0.0000000000, propagate_forward_time: 7.6780009270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4373621941
validation[          , genome  4492] predictions:    9591/  10000 (95.91%), best:    9604/10000 (96.04%), error:      1359.93811, best error:      1290.35486 on epoch:    67, 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: 44.4094810486s, input_fired_time: 0.7015983462, output_fired_time: 0.0000000000, propagate_forward_time: 40.6268424988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0810394287
best training[          , genome  4492] predictions:   48890/  50000 (97.78%), best:    9604/10000 (96.04%), error:      3991.72217, best error:      1290.35486 on epoch:    67, 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: 8.9869127274s, input_fired_time: 0.0892531648, output_fired_time: 0.0000000000, propagate_forward_time: 8.4461231232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4515361786
   testing[          , genome  4492] predictions:    9669/  10000 (96.69%), best:    9604/10000 (96.04%), error:      1131.80859, best error:      1290.35486 on epoch:    67, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
01:07:16 (11728): called boinc_finish(0)

</stderr_txt>
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