Nameexact_genome_1512735002_44_23735_1
Workunit2689983
Created18 Dec 2017, 13:11:09 UTC
Sent18 Dec 2017, 13:52:41 UTC
Report deadline2 Feb 2018, 15:55:35 UTC
Received22 Dec 2017, 17:09:50 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID54172
Run time22 hours 44 min 37 sec
CPU time22 hours 43 min 31 sec
Validate stateInitial
Credit0.00
Device peak FLOPS3.27 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size170.17 MB
Peak swap size172.32 MB
Peak disk usage3.04 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
pagate_forward_time: 59.2121734619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7508049011
validation[          , genome 23735] predictions:    9877/  10000 (98.77%), best:    9877/10000 (98.77%), error:       386.72476, best error:       386.72476 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 773.9552001953s, input_fired_time: 9.4283733368, output_fired_time: 7.2337369919, propagate_forward_time: 296.2973937988, propagate_backward_time: 451.2406616211, weight_update_time: 0.6840597987, other_time: 9.7550354004
epoch time: 62.0515823364s, input_fired_time: 1.0304001570, output_fired_time: 0.0000000000, propagate_forward_time: 59.2645416260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7566413879
validation[          , genome 23735] predictions:    9867/  10000 (98.67%), best:    9877/10000 (98.77%), error:       398.23975, best error:       386.72476 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 772.7890625000s, input_fired_time: 9.4188289642, output_fired_time: 7.1975755692, propagate_forward_time: 296.1316528320, propagate_backward_time: 450.3485717773, weight_update_time: 0.6839253902, other_time: 9.6924438477
epoch time: 62.1286315918s, input_fired_time: 1.0222977400, output_fired_time: 0.0000000000, propagate_forward_time: 59.3561172485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7502174377
validation[          , genome 23735] predictions:    9861/  10000 (98.61%), best:    9877/10000 (98.77%), error:       450.03897, best error:       386.72476 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 772.4066772461s, input_fired_time: 9.4143085480, output_fired_time: 7.1555299759, propagate_forward_time: 296.3655395508, propagate_backward_time: 449.7610473633, weight_update_time: 0.6840379238, other_time: 9.7102661133
epoch time: 61.9918174744s, input_fired_time: 1.0226861238, output_fired_time: 0.0000000000, propagate_forward_time: 59.2168045044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7523269653
validation[          , genome 23735] predictions:    9867/  10000 (98.67%), best:    9877/10000 (98.77%), error:       454.33621, best error:       386.72476 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 774.2090454102s, input_fired_time: 9.4492282867, output_fired_time: 7.2229671478, propagate_forward_time: 296.3352661133, propagate_backward_time: 451.5290527344, weight_update_time: 0.6824262142, other_time: 9.6725463867
epoch time: 62.0095558167s, input_fired_time: 1.0241760015, output_fired_time: 0.0000000000, propagate_forward_time: 59.2468643188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7385139465
validation[          , genome 23735] predictions:    9867/  10000 (98.67%), best:    9867/10000 (98.67%), error:       384.90189, best error:       384.90189 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 772.5979003906s, input_fired_time: 9.4421482086, output_fired_time: 7.1948113441, propagate_forward_time: 295.8591003418, propagate_backward_time: 450.4052124023, weight_update_time: 0.6910373569, other_time: 9.6966247559
epoch time: 61.7785415649s, input_fired_time: 1.0240190029, output_fired_time: 0.0000000000, propagate_forward_time: 59.0157318115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7387924194
validation[          , genome 23735] predictions:    9851/  10000 (98.51%), best:    9867/10000 (98.67%), error:       474.76721, best error:       384.90189 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 768.9298095703s, input_fired_time: 9.4003896713, output_fired_time: 7.1488785744, propagate_forward_time: 294.6252746582, propagate_backward_time: 448.0565795898, weight_update_time: 0.6791282296, other_time: 9.6986999512
epoch time: 61.8272209167s, input_fired_time: 1.0299785137, output_fired_time: 0.0000000000, propagate_forward_time: 59.0524749756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7447662354
validation[          , genome 23735] predictions:    9854/  10000 (98.54%), best:    9867/10000 (98.67%), error:       456.02039, best error:       384.90189 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 771.3043212891s, input_fired_time: 9.4405422211, output_fired_time: 7.2088899612, propagate_forward_time: 295.5136718750, propagate_backward_time: 449.4048767090, weight_update_time: 0.6821268201, other_time: 9.7363586426
epoch time: 61.9879531860s, input_fired_time: 1.0265605450, output_fired_time: 0.0000000000, propagate_forward_time: 59.2250137329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7363777161
validation[          , genome 23735] predictions:    9864/  10000 (98.64%), best:    9867/10000 (98.67%), error:       438.78809, best error:       384.90189 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 773.6732177734s, input_fired_time: 9.4605369568, output_fired_time: 7.2173881531, propagate_forward_time: 296.3241882324, propagate_backward_time: 450.9375915527, weight_update_time: 0.6853258610, other_time: 9.7335205078
epoch time: 62.1199645996s, input_fired_time: 1.0319195986, output_fired_time: 0.0000000000, propagate_forward_time: 59.3354301453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7526130676
validation[          , genome 23735] predictions:    9773/  10000 (97.73%), best:    9867/10000 (98.67%), error:       674.31897, best error:       384.90189 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 770.4884033203s, input_fired_time: 9.4713621140, output_fired_time: 7.1995177269, propagate_forward_time: 294.8271484375, propagate_backward_time: 449.2110900879, weight_update_time: 0.6835556626, other_time: 9.7792663574
epoch time: 60.4655876160s, input_fired_time: 1.0281978846, output_fired_time: 0.0000000000, propagate_forward_time: 57.6961708069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7412185669
validation[          , genome 23735] predictions:    9830/  10000 (98.30%), best:    9867/10000 (98.67%), error:       508.69238, best error:       384.90189 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 773.5991821289s, input_fired_time: 9.4581775665, output_fired_time: 7.1742486954, propagate_forward_time: 296.5411987305, propagate_backward_time: 450.6270141602, weight_update_time: 0.6870011687, other_time: 9.7985229492
epoch time: 62.1463661194s, input_fired_time: 1.0392156839, output_fired_time: 0.0000000000, propagate_forward_time: 59.3663787842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7407722473
validation[          , genome 23735] predictions:    9871/  10000 (98.71%), best:    9867/10000 (98.67%), error:       398.02521, best error:       384.90189 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 774.3962402344s, input_fired_time: 9.4820032120, output_fired_time: 7.2004923820, propagate_forward_time: 296.5004272461, propagate_backward_time: 451.4006042480, weight_update_time: 0.6884222031, other_time: 9.8127136230
epoch time: 62.0388488770s, input_fired_time: 1.0357128382, output_fired_time: 0.0000000000, propagate_forward_time: 59.2405471802, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7625885010
validation[          , genome 23735] predictions:    9847/  10000 (98.47%), best:    9867/10000 (98.67%), error:       434.95053, best error:       384.90189 on epoch:    30, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 773.9864501953s, input_fired_time: 9.4862890244, output_fired_time: 7.2244987488, propagate_forward_time: 296.5073242188, propagate_backward_time: 450.9851989746, weight_update_time: 0.6849684119, other_time: 9.7831726074
epoch time: 62.0563735962s, input_fired_time: 1.0430277586, output_fired_time: 0.0000000000, propagate_forward_time: 59.2507362366, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7626113892
validation[          , genome 23735] predictions:    9858/  10000 (98.58%), best:    9867/10000 (98.67%), error:       456.95309, best error:       384.90189 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 772.2525634766s, input_fired_time: 9.4600973129, output_fired_time: 7.1676931381, propagate_forward_time: 295.9783325195, propagate_backward_time: 449.8711547852, weight_update_time: 0.6850903630, other_time: 9.7753295898
epoch time: 61.7059707642s, input_fired_time: 1.0358269215, output_fired_time: 0.0000000000, propagate_forward_time: 58.9310493469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7390937805
validation[          , genome 23735] predictions:    9875/  10000 (98.75%), best:    9867/10000 (98.67%), error:       393.58215, best error:       384.90189 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1512735002_44_23735.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_44_23735_1_r30400676_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: 0.927029
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0016064
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.4256e-05
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: 40
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9867
read best_validation_error: 384.902
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: 23735
read normal distribution: '1 0 0'
generator_str: '1313261528'
read generator: 1313261528
read generated_by_map:
1 disable_edge 1
reading 77 nodes.
reading 242 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: 734.132690429688s, input_fired_time: 9.40612602233887, output_fired_time: 7.15994262695312, propagate_forward_time: 280.219879150391, propagate_backward_time: 426.23095703125, weight_update_time: 0.71681821346283, other_time: 11.1158142089844
epoch time: 59.5931091308594s, input_fired_time: 1.10823976993561, output_fired_time: 0, propagate_forward_time: 56.4264259338379, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.05844497680664
validation[          , genome 23735] predictions:    9865/  10000 (98.65%), best:    9867/10000 (98.67%), error:       418.22974, best error:       384.90189 on epoch:    30, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1512735002_44_23735.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_44_23735_1_r30400676_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: 0.930178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00152608
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.10432e-05
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: 41
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9867
read best_validation_error: 384.902
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: 23735
read normal distribution: '1 0 0'
generator_str: '421322881'
read generator: 421322881
read generated_by_map:
1 disable_edge 1
reading 77 nodes.
reading 242 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: 735.163635253906s, input_fired_time: 9.54601764678955, output_fired_time: 7.24774169921875, propagate_forward_time: 280.440887451172, propagate_backward_time: 426.412353515625, weight_update_time: 0.726320028305054, other_time: 11.5166320800781
epoch time: 59.2138481140137s, input_fired_time: 1.13605082035065, output_fired_time: 0, propagate_forward_time: 56.0210266113281, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.05677032470703
validation[          , genome 23735] predictions:    9873/  10000 (98.73%), best:    9867/10000 (98.67%), error:       415.03281, best error:       384.90189 on epoch:    30, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 725.3306274414s, input_fired_time: 9.4522924423, output_fired_time: 7.1616954803, propagate_forward_time: 276.2961425781, propagate_backward_time: 421.2121276855, weight_update_time: 0.7102465630, other_time: 11.2084045410
epoch time: 59.3146438599s, input_fired_time: 1.1406470537, output_fired_time: 0.0000000000, propagate_forward_time: 56.0742225647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0997734070
validation[          , genome 23735] predictions:    9854/  10000 (98.54%), best:    9867/10000 (98.67%), error:       437.50482, best error:       384.90189 on epoch:    30, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 735.4457397461s, input_fired_time: 9.4932069778, output_fired_time: 7.1748828888, propagate_forward_time: 280.3009643555, propagate_backward_time: 427.1633911133, weight_update_time: 0.7198644280, other_time: 11.3132934570
epoch time: 59.5534782410s, input_fired_time: 1.1281838417, output_fired_time: 0.0000000000, propagate_forward_time: 56.3694419861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0558509827
validation[          , genome 23735] predictions:    9872/  10000 (98.72%), best:    9867/10000 (98.67%), error:       396.74527, best error:       384.90189 on epoch:    30, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 734.4295654297s, input_fired_time: 9.5397806168, output_fired_time: 7.2313222885, propagate_forward_time: 280.1843872070, propagate_backward_time: 426.1083374023, weight_update_time: 0.7319462299, other_time: 11.3657226562
epoch time: 52.9381408691s, input_fired_time: 1.0383107662, output_fired_time: 0.0000000000, propagate_forward_time: 49.9625816345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9372482300
validation[          , genome 23735] predictions:    9858/  10000 (98.58%), best:    9867/10000 (98.67%), error:       431.17230, best error:       384.90189 on epoch:    30, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 735.0488281250s, input_fired_time: 9.3950042725, output_fired_time: 7.1581835747, propagate_forward_time: 281.0142822266, propagate_backward_time: 426.4861755371, weight_update_time: 0.7154071331, other_time: 10.9951477051
epoch time: 59.1199722290s, input_fired_time: 1.0975319147, output_fired_time: 0.0000000000, propagate_forward_time: 56.0254211426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9970207214
validation[          , genome 23735] predictions:    9858/  10000 (98.58%), best:    9867/10000 (98.67%), error:       420.76129, best error:       384.90189 on epoch:    30, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 736.1804199219s, input_fired_time: 9.4254274368, output_fired_time: 7.1347327232, propagate_forward_time: 281.0243530273, propagate_backward_time: 427.5794982910, weight_update_time: 0.7120907307, other_time: 11.0164489746
epoch time: 59.1388053894s, input_fired_time: 1.1030174494, output_fired_time: 0.0000000000, propagate_forward_time: 56.0852546692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9505348206
validation[          , genome 23735] predictions:    9860/  10000 (98.60%), best:    9867/10000 (98.67%), error:       442.97131, best error:       384.90189 on epoch:    30, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 737.8140258789s, input_fired_time: 9.4559278488, output_fired_time: 7.1653575897, propagate_forward_time: 281.9616394043, propagate_backward_time: 428.2168579102, weight_update_time: 0.7212577462, other_time: 11.0142517090
epoch time: 59.4508781433s, input_fired_time: 1.0985480547, output_fired_time: 0.0000000000, propagate_forward_time: 56.3562126160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9961166382
validation[          , genome 23735] predictions:    9886/  10000 (98.86%), best:    9886/10000 (98.86%), error:       348.12131, best error:       348.12131 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 738.5470581055s, input_fired_time: 9.4256172180, output_fired_time: 7.1902542114, propagate_forward_time: 281.7483215332, propagate_backward_time: 429.2101440430, weight_update_time: 0.7186408043, other_time: 10.9727478027
epoch time: 59.4382820129s, input_fired_time: 1.0963311195, output_fired_time: 0.0000000000, propagate_forward_time: 56.3697090149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9722404480
validation[          , genome 23735] predictions:    9884/  10000 (98.84%), best:    9886/10000 (98.86%), error:       357.23523, best error:       348.12131 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 738.1739501953s, input_fired_time: 9.4564218521, output_fired_time: 7.1312351227, propagate_forward_time: 281.4428100586, propagate_backward_time: 429.1632080078, weight_update_time: 0.7085885406, other_time: 10.9802856445
epoch time: 59.5072708130s, input_fired_time: 1.1145800352, output_fired_time: 0.0000000000, propagate_forward_time: 56.4215202332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9711723328
validation[          , genome 23735] predictions:    9881/  10000 (98.81%), best:    9886/10000 (98.86%), error:       387.65955, best error:       348.12131 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 734.7189941406s, input_fired_time: 9.4199848175, output_fired_time: 7.1004562378, propagate_forward_time: 280.7602233887, propagate_backward_time: 426.3964843750, weight_update_time: 0.7148535848, other_time: 11.0418395996
epoch time: 59.1456260681s, input_fired_time: 1.0996901989, output_fired_time: 0.0000000000, propagate_forward_time: 56.0864791870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9594573975
validation[          , genome 23735] predictions:    9884/  10000 (98.84%), best:    9886/10000 (98.86%), error:       367.27039, best error:       348.12131 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 728.4099121094s, input_fired_time: 9.5166378021, output_fired_time: 7.1493244171, propagate_forward_time: 277.8368835449, propagate_backward_time: 422.4434204102, weight_update_time: 0.7328472137, other_time: 11.4635925293
epoch time: 59.2683296204s, input_fired_time: 1.1554089785, output_fired_time: 0.0000000000, propagate_forward_time: 56.0922851562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0206336975
validation[          , genome 23735] predictions:    9884/  10000 (98.84%), best:    9886/10000 (98.86%), error:       352.31931, best error:       348.12131 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 733.8545532227s, input_fired_time: 9.6312313080, output_fired_time: 7.2874469757, propagate_forward_time: 279.4645385742, propagate_backward_time: 425.9082946777, weight_update_time: 0.7430061102, other_time: 11.5630187988
epoch time: 59.5221290588s, input_fired_time: 1.1466399431, output_fired_time: 0.0000000000, propagate_forward_time: 56.3078231812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0676651001
validation[          , genome 23735] predictions:    9873/  10000 (98.73%), best:    9886/10000 (98.86%), error:       397.02914, best error:       348.12131 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 731.1917724609s, input_fired_time: 9.6506862640, output_fired_time: 7.3012061119, propagate_forward_time: 278.9724731445, propagate_backward_time: 423.5012817383, weight_update_time: 0.7403753400, other_time: 11.7661132812
epoch time: 59.6016921997s, input_fired_time: 1.1610296965, output_fired_time: 0.0000000000, propagate_forward_time: 56.3134536743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1272087097
validation[          , genome 23735] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       328.37289, best error:       328.37289 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 733.9508056641s, input_fired_time: 9.6571130753, output_fired_time: 7.2335896492, propagate_forward_time: 280.0986328125, propagate_backward_time: 425.3144836426, weight_update_time: 0.7462700605, other_time: 11.6470031738
epoch time: 59.6741065979s, input_fired_time: 1.1548999548, output_fired_time: 0.0000000000, propagate_forward_time: 56.3973884583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1218185425
validation[          , genome 23735] predictions:    9878/  10000 (98.78%), best:    9894/10000 (98.94%), error:       361.22568, best error:       328.37289 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 720.9271850586s, input_fired_time: 9.5623359680, output_fired_time: 7.1517214775, propagate_forward_time: 274.7646484375, propagate_backward_time: 417.9308166504, weight_update_time: 0.7312521338, other_time: 11.5176696777
epoch time: 59.4866752625s, input_fired_time: 1.1637141705, output_fired_time: 0.0000000000, propagate_forward_time: 56.1791267395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1438331604
validation[          , genome 23735] predictions:    9888/  10000 (98.88%), best:    9888/10000 (98.88%), error:       323.10977, best error:       323.10977 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 735.0263671875s, input_fired_time: 9.6315402985, output_fired_time: 7.2686939240, propagate_forward_time: 280.1302185059, propagate_backward_time: 426.2774353027, weight_update_time: 0.7413423061, other_time: 11.7185058594
epoch time: 59.8048324585s, input_fired_time: 1.1485419273, output_fired_time: 0.0000000000, propagate_forward_time: 56.5583610535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0979309082
validation[          , genome 23735] predictions:    9860/  10000 (98.60%), best:    9888/10000 (98.88%), error:       448.89954, best error:       323.10977 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 730.9970703125s, input_fired_time: 9.6064863205, output_fired_time: 7.1750683784, propagate_forward_time: 278.4783935547, propagate_backward_time: 424.0486755371, weight_update_time: 0.7424672842, other_time: 11.6884460449
epoch time: 59.6330986023s, input_fired_time: 1.1564830542, output_fired_time: 0.0000000000, propagate_forward_time: 56.3896598816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0869560242
validation[          , genome 23735] predictions:    9860/  10000 (98.60%), best:    9888/10000 (98.88%), error:       456.50958, best error:       323.10977 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 731.2750854492s, input_fired_time: 9.5816555023, output_fired_time: 7.2016859055, propagate_forward_time: 278.9372558594, propagate_backward_time: 423.9867858887, weight_update_time: 0.7414165139, other_time: 11.5677185059
epoch time: 59.1158409119s, input_fired_time: 1.1568877697, output_fired_time: 0.0000000000, propagate_forward_time: 55.8153991699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1435546875
validation[          , genome 23735] predictions:    9867/  10000 (98.67%), best:    9888/10000 (98.88%), error:       420.95700, best error:       323.10977 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 732.6146850586s, input_fired_time: 9.7613887787, output_fired_time: 7.3612279892, propagate_forward_time: 278.6683654785, propagate_backward_time: 424.7863769531, weight_update_time: 0.7548312545, other_time: 12.0373229980
epoch time: 59.1944999695s, input_fired_time: 1.1692370176, output_fired_time: 0.0000000000, propagate_forward_time: 55.8120803833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2131843567
validation[          , genome 23735] predictions:    9884/  10000 (98.84%), best:    9888/10000 (98.88%), error:       352.03812, best error:       323.10977 on epoch:    55, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 724.3800048828s, input_fired_time: 9.7570257187, output_fired_time: 7.3175082207, propagate_forward_time: 275.8793640137, propagate_backward_time: 419.3222045898, weight_update_time: 0.7457049489, other_time: 12.1039123535
epoch time: 59.5013999939s, input_fired_time: 1.2227897644, output_fired_time: 0.0000000000, propagate_forward_time: 55.9693756104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3092346191
validation[          , genome 23735] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       318.82199, best error:       318.82199 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 730.7540893555s, input_fired_time: 9.7928552628, output_fired_time: 7.3595423698, propagate_forward_time: 277.7563476562, propagate_backward_time: 423.7335205078, weight_update_time: 0.7545313835, other_time: 12.1118164062
epoch time: 59.8492736816s, input_fired_time: 1.1944423914, output_fired_time: 0.0000000000, propagate_forward_time: 56.3860893250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2687416077
validation[          , genome 23735] predictions:    9900/  10000 (99.00%), best:    9892/10000 (98.92%), error:       324.23914, best error:       318.82199 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 733.2651977539s, input_fired_time: 9.8652334213, output_fired_time: 7.4098291397, propagate_forward_time: 279.0826721191, propagate_backward_time: 424.3596496582, weight_update_time: 0.7653800249, other_time: 12.5477905273
epoch time: 59.7068939209s, input_fired_time: 1.1814628839, output_fired_time: 0.0000000000, propagate_forward_time: 56.3166275024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2088050842
validation[          , genome 23735] predictions:    9896/  10000 (98.96%), best:    9892/10000 (98.92%), error:       333.24484, best error:       318.82199 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 738.0917968750s, input_fired_time: 9.9491510391, output_fired_time: 7.4909439087, propagate_forward_time: 280.9005126953, propagate_backward_time: 427.1328125000, weight_update_time: 0.7722942829, other_time: 12.6183471680
epoch time: 58.9295997620s, input_fired_time: 1.1800997257, output_fired_time: 0.0000000000, propagate_forward_time: 55.5683097839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1811904907
validation[          , genome 23735] predictions:    9876/  10000 (98.76%), best:    9892/10000 (98.92%), error:       384.60690, best error:       318.82199 on epoch:    60, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 729.4218750000s, input_fired_time: 9.7206764221, output_fired_time: 7.2829566002, propagate_forward_time: 277.5637512207, propagate_backward_time: 422.7339172363, weight_update_time: 0.7602696419, other_time: 12.1205444336
epoch time: 53.3220138550s, input_fired_time: 1.1174366474, output_fired_time: 0.0000000000, propagate_forward_time: 50.0703353882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1342430115
validation[          , genome 23735] predictions:    9890/  10000 (98.90%), best:    9892/10000 (98.92%), error:       323.86853, best error:       318.82199 on epoch:    60, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 723.8989868164s, input_fired_time: 9.7318954468, output_fired_time: 7.3035945892, propagate_forward_time: 275.3330688477, propagate_backward_time: 419.3871459961, weight_update_time: 0.7506855130, other_time: 12.1433105469
epoch time: 58.8546218872s, input_fired_time: 1.1823832989, output_fired_time: 0.0000000000, propagate_forward_time: 55.4866065979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1856307983
validation[          , genome 23735] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       354.44547, best error:       318.82199 on epoch:    60, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 733.5647583008s, input_fired_time: 9.7535743713, output_fired_time: 7.3841524124, propagate_forward_time: 279.2954406738, propagate_backward_time: 424.8495483398, weight_update_time: 0.7597442865, other_time: 12.2820129395
epoch time: 59.0850868225s, input_fired_time: 1.1911222935, output_fired_time: 0.0000000000, propagate_forward_time: 55.6550445557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2389183044
validation[          , genome 23735] predictions:    9882/  10000 (98.82%), best:    9892/10000 (98.92%), error:       350.73096, best error:       318.82199 on epoch:    60, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 734.1278076172s, input_fired_time: 9.7728157043, output_fired_time: 7.3169202805, propagate_forward_time: 279.9805297852, propagate_backward_time: 425.1586914062, weight_update_time: 0.7525999546, other_time: 11.8988647461
epoch time: 59.4845542908s, input_fired_time: 1.1741013527, output_fired_time: 0.0000000000, propagate_forward_time: 56.1076812744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2027702332
validation[          , genome 23735] predictions:    9881/  10000 (98.81%), best:    9892/10000 (98.92%), error:       353.66141, best error:       318.82199 on epoch:    60, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 738.9862060547s, input_fired_time: 9.7669334412, output_fired_time: 7.3493494987, propagate_forward_time: 281.8081359863, propagate_backward_time: 428.1621704102, weight_update_time: 0.7466456890, other_time: 11.8996276855
epoch time: 59.1227874756s, input_fired_time: 1.1645822525, output_fired_time: 0.0000000000, propagate_forward_time: 55.7672042847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1910018921
validation[          , genome 23735] predictions:    9898/  10000 (98.98%), best:    9892/10000 (98.92%), error:       320.22156, best error:       318.82199 on epoch:    60, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 738.1475830078s, input_fired_time: 9.7187175751, output_fired_time: 7.3154349327, propagate_forward_time: 281.0112915039, propagate_backward_time: 428.1665344238, weight_update_time: 0.7558249235, other_time: 11.9356384277
epoch time: 59.7893486023s, input_fired_time: 1.1926673651, output_fired_time: 0.0000000000, propagate_forward_time: 56.2960777283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3006019592
validation[          , genome 23735] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       335.49490, best error:       318.82199 on epoch:    60, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 736.9246215820s, input_fired_time: 9.7480821609, output_fired_time: 7.3251528740, propagate_forward_time: 280.8004455566, propagate_backward_time: 427.0581665039, weight_update_time: 0.7502896190, other_time: 11.9927673340
epoch time: 59.6653060913s, input_fired_time: 1.1479896307, output_fired_time: 0.0000000000, propagate_forward_time: 56.3095512390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2077636719
validation[          , genome 23735] predictions:    9900/  10000 (99.00%), best:    9900/10000 (99.00%), error:       311.78568, best error:       311.78568 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 726.3726196289s, input_fired_time: 9.5907239914, output_fired_time: 7.2198548317, propagate_forward_time: 276.1824951172, propagate_backward_time: 421.6352844238, weight_update_time: 0.7356189489, other_time: 11.7442932129
epoch time: 59.5404281616s, input_fired_time: 1.1547394991, output_fired_time: 0.0000000000, propagate_forward_time: 56.2648696899, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1208190918
validation[          , genome 23735] predictions:    9888/  10000 (98.88%), best:    9900/10000 (99.00%), error:       326.51157, best error:       311.78568 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 734.0747070312s, input_fired_time: 9.5825777054, output_fired_time: 7.1637525558, propagate_forward_time: 279.4094543457, propagate_backward_time: 426.3443603516, weight_update_time: 0.7396793365, other_time: 11.5745544434
epoch time: 59.0146751404s, input_fired_time: 1.1299847364, output_fired_time: 0.0000000000, propagate_forward_time: 55.8294448853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0552444458
validation[          , genome 23735] predictions:    9895/  10000 (98.95%), best:    9900/10000 (99.00%), error:       334.08978, best error:       311.78568 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 730.2084960938s, input_fired_time: 9.5778331757, output_fired_time: 7.2220129967, propagate_forward_time: 278.7327270508, propagate_backward_time: 423.2126770020, weight_update_time: 0.7256158590, other_time: 11.4632873535
epoch time: 59.1344566345s, input_fired_time: 1.1583999395, output_fired_time: 0.0000000000, propagate_forward_time: 55.8773231506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0987319946
validation[          , genome 23735] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       299.75830, best error:       299.75830 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 723.9158325195s, input_fired_time: 9.4994935989, output_fired_time: 7.1600308418, propagate_forward_time: 275.9136657715, propagate_backward_time: 419.9295959473, weight_update_time: 0.7317121029, other_time: 11.4130249023
epoch time: 58.7043762207s, input_fired_time: 1.1402006149, output_fired_time: 0.0000000000, propagate_forward_time: 55.4732017517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0909729004
validation[          , genome 23735] predictions:    9872/  10000 (98.72%), best:    9904/10000 (99.04%), error:       392.98926, best error:       299.75830 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 719.8928222656s, input_fired_time: 9.4904918671, output_fired_time: 7.0359587669, propagate_forward_time: 274.9211120605, propagate_backward_time: 417.0477294922, weight_update_time: 0.7287577987, other_time: 11.3975524902
epoch time: 58.8067131042s, input_fired_time: 1.1422505379, output_fired_time: 0.0000000000, propagate_forward_time: 55.5485534668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1159095764
validation[          , genome 23735] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       311.35275, best error:       299.75830 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 726.6536865234s, input_fired_time: 9.5345859528, output_fired_time: 7.1535978317, propagate_forward_time: 277.0716552734, propagate_backward_time: 421.4796447754, weight_update_time: 0.7292218804, other_time: 11.4141540527
epoch time: 59.4580497742s, input_fired_time: 1.1355068684, output_fired_time: 0.0000000000, propagate_forward_time: 56.2388458252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0836982727
validation[          , genome 23735] predictions:    9901/  10000 (99.01%), best:    9904/10000 (99.04%), error:       307.29053, best error:       299.75830 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 731.8671875000s, input_fired_time: 9.6012487411, output_fired_time: 7.2175316811, propagate_forward_time: 278.8926696777, propagate_backward_time: 424.5291137695, weight_update_time: 0.7419281006, other_time: 11.6266174316
epoch time: 59.5393943787s, input_fired_time: 1.1555531025, output_fired_time: 0.0000000000, propagate_forward_time: 56.3049278259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0789146423
validation[          , genome 23735] predictions:    9900/  10000 (99.00%), best:    9904/10000 (99.04%), error:       304.38782, best error:       299.75830 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 729.8255615234s, input_fired_time: 9.6200742722, output_fired_time: 7.2006950378, propagate_forward_time: 278.0935974121, propagate_backward_time: 423.3983459473, weight_update_time: 0.7286967039, other_time: 11.5128784180
epoch time: 59.4993133545s, input_fired_time: 1.1700580120, output_fired_time: 0.0000000000, propagate_forward_time: 56.2288436890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1004104614
validation[          , genome 23735] predictions:    9898/  10000 (98.98%), best:    9904/10000 (99.04%), error:       316.92471, best error:       299.75830 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 723.5355224609s, input_fired_time: 9.5421371460, output_fired_time: 7.1075453758, propagate_forward_time: 275.8695373535, propagate_backward_time: 419.6081237793, weight_update_time: 0.7264645100, other_time: 11.4082031250
epoch time: 58.7427978516s, input_fired_time: 1.1494464874, output_fired_time: 0.0000000000, propagate_forward_time: 55.4925384521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1008148193
validation[          , genome 23735] predictions:    9906/  10000 (99.06%), best:    9904/10000 (99.04%), error:       302.36786, best error:       299.75830 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 728.0678100586s, input_fired_time: 9.5692443848, output_fired_time: 7.1604828835, propagate_forward_time: 277.1791381836, propagate_backward_time: 422.7517089844, weight_update_time: 0.7189561129, other_time: 11.4072265625
epoch time: 59.1676864624s, input_fired_time: 1.1496129036, output_fired_time: 0.0000000000, propagate_forward_time: 55.9141731262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1039009094
validation[          , genome 23735] predictions:    9891/  10000 (98.91%), best:    9904/10000 (99.04%), error:       338.47073, best error:       299.75830 on epoch:    73, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 730.6126098633s, input_fired_time: 9.5981960297, output_fired_time: 7.2024393082, propagate_forward_time: 279.2091369629, propagate_backward_time: 423.1087341309, weight_update_time: 0.7357883453, other_time: 11.4940795898
epoch time: 59.3710021973s, input_fired_time: 1.1737599373, output_fired_time: 0.0000000000, propagate_forward_time: 56.0660133362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1312294006
validation[          , genome 23735] predictions:    9899/  10000 (98.99%), best:    9904/10000 (99.04%), error:       301.52820, best error:       299.75830 on epoch:    73, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 731.7937622070s, input_fired_time: 9.6581525803, output_fired_time: 7.2495412827, propagate_forward_time: 279.4937438965, propagate_backward_time: 423.9218139648, weight_update_time: 0.7271272540, other_time: 11.4705505371
epoch time: 59.2739944458s, input_fired_time: 1.1671432257, output_fired_time: 0.0000000000, propagate_forward_time: 55.9770584106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1297912598
validation[          , genome 23735] predictions:    9885/  10000 (98.85%), best:    9904/10000 (99.04%), error:       349.73593, best error:       299.75830 on epoch:    73, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 731.3908081055s, input_fired_time: 9.6421823502, output_fired_time: 7.2334904671, propagate_forward_time: 279.0155334473, propagate_backward_time: 423.8134765625, weight_update_time: 0.7356104851, other_time: 11.6860656738
epoch time: 56.0589408875s, input_fired_time: 1.1462473869, output_fired_time: 0.0000000000, propagate_forward_time: 52.7690429688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1436500549
validation[          , genome 23735] predictions:    9900/  10000 (99.00%), best:    9904/10000 (99.04%), error:       310.30554, best error:       299.75830 on epoch:    73, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 734.3629150391s, input_fired_time: 9.6819057465, output_fired_time: 7.2645635605, propagate_forward_time: 279.9517822266, propagate_backward_time: 425.9100646973, weight_update_time: 0.7383382916, other_time: 11.5545959473
epoch time: 59.4143257141s, input_fired_time: 1.1616435051, output_fired_time: 0.0000000000, propagate_forward_time: 56.1310348511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1216468811
validation[          , genome 23735] predictions:    9903/  10000 (99.03%), best:    9904/10000 (99.04%), error:       309.91882, best error:       299.75830 on epoch:    73, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 728.9627075195s, input_fired_time: 9.6422996521, output_fired_time: 7.1912202835, propagate_forward_time: 277.9224853516, propagate_backward_time: 422.5599365234, weight_update_time: 0.7392975092, other_time: 11.6467895508
epoch time: 58.1456718445s, input_fired_time: 1.1649590731, output_fired_time: 0.0000000000, propagate_forward_time: 54.8614807129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1192321777
validation[          , genome 23735] predictions:    9894/  10000 (98.94%), best:    9904/10000 (99.04%), error:       316.49683, best error:       299.75830 on epoch:    73, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 732.6972656250s, input_fired_time: 9.6372022629, output_fired_time: 7.2128124237, propagate_forward_time: 279.4086608887, propagate_backward_time: 424.8792724609, weight_update_time: 0.7384980321, other_time: 11.5592956543
epoch time: 59.7313270569s, input_fired_time: 1.1668406725, output_fired_time: 0.0000000000, propagate_forward_time: 56.4866561890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0778312683
validation[          , genome 23735] predictions:    9897/  10000 (98.97%), best:    9904/10000 (99.04%), error:       306.76086, best error:       299.75830 on epoch:    73, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 735.6538696289s, input_fired_time: 9.6550579071, output_fired_time: 7.2147035599, propagate_forward_time: 280.1177978516, propagate_backward_time: 427.1114196777, weight_update_time: 0.7306090593, other_time: 11.5549011230
epoch time: 59.6329994202s, input_fired_time: 1.1606799364, output_fired_time: 0.0000000000, propagate_forward_time: 56.3662948608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1060256958
validation[          , genome 23735] predictions:    9884/  10000 (98.84%), best:    9904/10000 (99.04%), error:       348.18872, best error:       299.75830 on epoch:    73, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 728.2132568359s, input_fired_time: 9.6349067688, output_fired_time: 7.1711478233, propagate_forward_time: 278.0592956543, propagate_backward_time: 421.9093017578, weight_update_time: 0.7324781418, other_time: 11.4386291504
epoch time: 59.1183319092s, input_fired_time: 1.1659805775, output_fired_time: 0.0000000000, propagate_forward_time: 55.8108558655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1414947510
validation[          , genome 23735] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       303.03711, best error:       299.75830 on epoch:    73, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 735.5326538086s, input_fired_time: 9.6518859863, output_fired_time: 7.2239408493, propagate_forward_time: 280.1882934570, propagate_backward_time: 426.9796752930, weight_update_time: 0.7371790409, other_time: 11.4888305664
epoch time: 59.5386810303s, input_fired_time: 1.1508301497, output_fired_time: 0.0000000000, propagate_forward_time: 56.2673110962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1205406189
validation[          , genome 23735] predictions:    9897/  10000 (98.97%), best:    9904/10000 (99.04%), error:       299.90121, best error:       299.75830 on epoch:    73, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 725.2564697266s, input_fired_time: 9.5730133057, output_fired_time: 7.0954804420, propagate_forward_time: 276.5236206055, propagate_backward_time: 420.8246459961, weight_update_time: 0.7205621004, other_time: 11.2397460938
epoch time: 59.6202011108s, input_fired_time: 1.1550035477, output_fired_time: 0.0000000000, propagate_forward_time: 56.3490219116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1161766052
validation[          , genome 23735] predictions:    9901/  10000 (99.01%), best:    9904/10000 (99.04%), error:       301.79651, best error:       299.75830 on epoch:    73, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 720.1518554688s, input_fired_time: 9.5859289169, output_fired_time: 7.0898051262, propagate_forward_time: 275.1687622070, propagate_backward_time: 416.9385070801, weight_update_time: 0.7228299379, other_time: 11.3688659668
epoch time: 59.3056716919s, input_fired_time: 1.1809321642, output_fired_time: 0.0000000000, propagate_forward_time: 55.9453010559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1794395447
validation[          , genome 23735] predictions:    9899/  10000 (98.99%), best:    9904/10000 (99.04%), error:       311.91229, best error:       299.75830 on epoch:    73, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 728.4749755859s, input_fired_time: 9.5815401077, output_fired_time: 7.1930422783, propagate_forward_time: 277.7917480469, propagate_backward_time: 422.5745849609, weight_update_time: 0.7263969183, other_time: 11.3340454102
epoch time: 59.5970687866s, input_fired_time: 1.1577101946, output_fired_time: 0.0000000000, propagate_forward_time: 56.3928298950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0465278625
validation[          , genome 23735] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       309.77213, best error:       299.75830 on epoch:    73, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 737.6143188477s, input_fired_time: 9.6947641373, output_fired_time: 7.1962013245, propagate_forward_time: 281.6568603516, propagate_backward_time: 427.6871948242, weight_update_time: 0.7333584428, other_time: 11.3792724609
epoch time: 57.8404350281s, input_fired_time: 1.1428923607, output_fired_time: 0.0000000000, propagate_forward_time: 54.6350364685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0625076294
validation[          , genome 23735] predictions:    9901/  10000 (99.01%), best:    9904/10000 (99.04%), error:       303.80557, best error:       299.75830 on epoch:    73, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 732.5949707031s, input_fired_time: 9.6419410706, output_fired_time: 7.2313799858, propagate_forward_time: 279.0874328613, propagate_backward_time: 425.1029968262, weight_update_time: 0.7345938087, other_time: 11.5311889648
epoch time: 59.5983657837s, input_fired_time: 1.1785302162, output_fired_time: 0.0000000000, propagate_forward_time: 56.3606796265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0591545105
validation[          , genome 23735] predictions:    9902/  10000 (99.02%), best:    9904/10000 (99.04%), error:       313.44705, best error:       299.75830 on epoch:    73, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 731.2141113281s, input_fired_time: 9.5740013123, output_fired_time: 7.1452507973, propagate_forward_time: 278.9494628906, propagate_backward_time: 423.9966125488, weight_update_time: 0.7367604971, other_time: 11.5487976074
epoch time: 56.7241249084s, input_fired_time: 1.1375155449, output_fired_time: 0.0000000000, propagate_forward_time: 53.5108070374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0758018494
validation[          , genome 23735] predictions:    9867/  10000 (98.67%), best:    9904/10000 (99.04%), error:       370.50073, best error:       299.75830 on epoch:    73, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 733.0695800781s, input_fired_time: 9.6614789963, output_fired_time: 7.1768321991, propagate_forward_time: 280.1753540039, propagate_backward_time: 424.6433105469, weight_update_time: 0.7314025760, other_time: 11.4125976562
epoch time: 59.5976066589s, input_fired_time: 1.1474508047, output_fired_time: 0.0000000000, propagate_forward_time: 56.4301567078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0200004578
validation[          , genome 23735] predictions:    9906/  10000 (99.06%), best:    9904/10000 (99.04%), error:       310.89059, best error:       299.75830 on epoch:    73, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 728.5190429688s, input_fired_time: 9.6095533371, output_fired_time: 7.1887121201, propagate_forward_time: 277.3143615723, propagate_backward_time: 422.9125976562, weight_update_time: 0.7287733555, other_time: 11.4938049316
epoch time: 59.5022125244s, input_fired_time: 1.1626063585, output_fired_time: 0.0000000000, propagate_forward_time: 56.2501602173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0894470215
validation[          , genome 23735] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       293.12570, best error:       293.12570 on epoch:    97, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 722.8862304688s, input_fired_time: 9.6009550095, output_fired_time: 7.1509208679, propagate_forward_time: 275.7158813477, propagate_backward_time: 419.0747680664, weight_update_time: 0.7206045985, other_time: 11.3436889648
epoch time: 58.9997673035s, input_fired_time: 1.1746540070, output_fired_time: 0.0000000000, propagate_forward_time: 55.7254219055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0996894836
validation[          , genome 23735] predictions:    9903/  10000 (99.03%), best:    9906/10000 (99.06%), error:       306.19812, best error:       293.12570 on epoch:    97, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 724.9947509766s, input_fired_time: 9.5893859863, output_fired_time: 7.1190195084, propagate_forward_time: 277.1742553711, propagate_backward_time: 419.6442565918, weight_update_time: 0.7339082360, other_time: 11.4678649902
epoch time: 59.5574150085s, input_fired_time: 1.1624820232, output_fired_time: 0.0000000000, propagate_forward_time: 56.3206443787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0742874146
validation[          , genome 23735] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       295.93576, best error:       293.12570 on epoch:    97, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 731.8367309570s, input_fired_time: 9.6330432892, output_fired_time: 7.1867380142, propagate_forward_time: 279.0787353516, propagate_backward_time: 424.4763183594, weight_update_time: 0.7376965880, other_time: 11.4618530273
epoch time: 59.7707099915s, input_fired_time: 1.1825441122, output_fired_time: 0.0000000000, propagate_forward_time: 56.4270057678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1611595154
validation[          , genome 23735] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       299.43909, best error:       293.12570 on epoch:    97, 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: 293.2120971680s, input_fired_time: 5.7687954903, output_fired_time: 0.0000000000, propagate_forward_time: 276.8675231934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5757751465
best training[          , genome 23735] predictions:   50000/  50000 (100.00%), best:    9906/10000 (99.06%), error:       127.45218, best error:       293.12570 on epoch:    97, 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: 57.8931884766s, input_fired_time: 1.1255693436, output_fired_time: 0.0000000000, propagate_forward_time: 54.7082748413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0593452454
   testing[          , genome 23735] predictions:    9913/  10000 (99.13%), best:    9906/10000 (99.06%), error:       277.29663, best error:       293.12570 on epoch:    97, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
01:09:35 (61484): called boinc_finish(0)

</stderr_txt>
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