Nameexact_genome_1509103842_25_16714_2
Workunit2273976
Created7 Dec 2017, 10:07:39 UTC
Sent7 Dec 2017, 10:09:26 UTC
Report deadline17 Jan 2018, 2:48:11 UTC
Received8 Dec 2017, 23:40:21 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time1 days 2 hours 43 min 31 sec
CPU time19 hours 38 min 8 sec
Validate stateValid
Credit10,173.40
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size170.80 MB
Peak swap size173.81 MB
Peak disk usage5.65 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
es.
    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: 1035.52612304688s, input_fired_time: 11.3726139068604, output_fired_time: 12.2036819458008, propagate_forward_time: 376.313079833984, propagate_backward_time: 622.994995117188, weight_update_time: 0.759009897708893, other_time: 12.641845703125
epoch time: 79.5017547607422s, input_fired_time: 1.37548065185547, output_fired_time: 0, propagate_forward_time: 75.9135055541992, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.2127685546875
validation[          , genome 16714] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       400.67374, best error:       400.67374 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

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_1509103842_25_16714.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_25_16714_2_r1033909548_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: 0.890086
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00254883
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000101953
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: 31
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9874
read best_validation_error: 400.674
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: 16714
read normal distribution: '0 1.16436874866486 -0.0808118060231209'
generator_str: '1555941456'
read generator: 1555941456
read generated_by_map:
1 merge_node 1
reading 73 nodes.
reading 259 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: 1151.31787109375s, input_fired_time: 13.3585319519043, output_fired_time: 12.6310987472534, propagate_forward_time: 420.430908203125, propagate_backward_time: 690.802917480469, weight_update_time: 1.14837205410004, other_time: 14.0944213867188
epoch time: 92.6068344116211s, input_fired_time: 1.94521653652191, output_fired_time: 0, propagate_forward_time: 87.5896911621094, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.07192993164063
validation[          , genome 16714] predictions:    9869/  10000 (98.69%), best:    9874/10000 (98.74%), error:       433.25620, best error:       400.67374 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1071.9682617188s, input_fired_time: 13.5380449295, output_fired_time: 11.1855020523, propagate_forward_time: 407.5750122070, propagate_backward_time: 625.6407470703, weight_update_time: 1.0229209661, other_time: 14.0288696289
epoch time: 88.5303421021s, input_fired_time: 1.2085822821, output_fired_time: 0.0000000000, propagate_forward_time: 85.3031158447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0186462402
validation[          , genome 16714] predictions:    9869/  10000 (98.69%), best:    9874/10000 (98.74%), error:       423.39191, best error:       400.67374 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1205.8477783203s, input_fired_time: 14.9112415314, output_fired_time: 13.0913591385, propagate_forward_time: 459.3613891602, propagate_backward_time: 705.4505615234, weight_update_time: 1.0382162333, other_time: 13.0332641602
epoch time: 106.0539245605s, input_fired_time: 1.7610174417, output_fired_time: 0.0000000000, propagate_forward_time: 101.6660995483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6268081665
validation[          , genome 16714] predictions:    9881/  10000 (98.81%), best:    9881/10000 (98.81%), error:       390.44235, best error:       390.44235 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1221.9636230469s, input_fired_time: 14.5365142822, output_fired_time: 13.4410924911, propagate_forward_time: 465.6766967773, propagate_backward_time: 712.0659179688, weight_update_time: 2.0547542572, other_time: 16.2434692383
epoch time: 85.5188369751s, input_fired_time: 1.6452522278, output_fired_time: 0.0000000000, propagate_forward_time: 81.2495040894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6240768433
validation[          , genome 16714] predictions:    9872/  10000 (98.72%), best:    9881/10000 (98.81%), error:       395.90753, best error:       390.44235 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1076.6717529297s, input_fired_time: 12.0720586777, output_fired_time: 10.5825290680, propagate_forward_time: 401.6097717285, propagate_backward_time: 639.3612060547, weight_update_time: 0.8353908658, other_time: 13.0462646484
epoch time: 85.0635910034s, input_fired_time: 1.6937217712, output_fired_time: 0.0000000000, propagate_forward_time: 81.3862533569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9836196899
validation[          , genome 16714] predictions:    9823/  10000 (98.23%), best:    9881/10000 (98.81%), error:       546.34106, best error:       390.44235 on epoch:    33, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1045.3405761719s, input_fired_time: 15.3340024948, output_fired_time: 10.5494356155, propagate_forward_time: 390.8298339844, propagate_backward_time: 615.1239013672, weight_update_time: 1.2731703520, other_time: 13.5034179688
epoch time: 82.6814422607s, input_fired_time: 1.6941511631, output_fired_time: 0.0000000000, propagate_forward_time: 79.2677764893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7195129395
validation[          , genome 16714] predictions:    9852/  10000 (98.52%), best:    9881/10000 (98.81%), error:       442.11481, best error:       390.44235 on epoch:    33, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 989.2598876953s, input_fired_time: 11.3342208862, output_fired_time: 11.9034652710, propagate_forward_time: 374.4812316895, propagate_backward_time: 579.1427001953, weight_update_time: 1.0063016415, other_time: 12.3983154297
epoch time: 74.2175216675s, input_fired_time: 1.0711846352, output_fired_time: 0.0000000000, propagate_forward_time: 71.2927246094, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8536148071
validation[          , genome 16714] predictions:    9847/  10000 (98.47%), best:    9881/10000 (98.81%), error:       467.96121, best error:       390.44235 on epoch:    33, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 965.3356323242s, input_fired_time: 12.0106945038, output_fired_time: 11.4040021896, propagate_forward_time: 372.5954284668, propagate_backward_time: 558.4016113281, weight_update_time: 0.7350646853, other_time: 10.9239501953
epoch time: 81.5964965820s, input_fired_time: 1.1484676600, output_fired_time: 0.0000000000, propagate_forward_time: 77.9451599121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5028686523
validation[          , genome 16714] predictions:    9862/  10000 (98.62%), best:    9881/10000 (98.81%), error:       442.93924, best error:       390.44235 on epoch:    33, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1068.3469238281s, input_fired_time: 13.7599611282, output_fired_time: 13.8790931702, propagate_forward_time: 405.4941101074, propagate_backward_time: 622.1150512695, weight_update_time: 0.7879953384, other_time: 13.0985717773
epoch time: 83.2484970093s, input_fired_time: 1.9444540739, output_fired_time: 0.0000000000, propagate_forward_time: 79.1576919556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1463546753
validation[          , genome 16714] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       365.86789, best error:       365.86789 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

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_1509103842_25_16714.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_25_16714_2_r1033909548_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: 39
read number_validation_images: 10000
read best_validation_predictions: 9883
read best_validation_error: 365.868
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: 16714
read normal distribution: '0 1.16436874866486 -0.0808118060231209'
generator_str: '1010775920'
read generator: 1010775920
read generated_by_map:
1 merge_node 1
reading 73 nodes.
reading 259 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: 1004.65356445313s, input_fired_time: 11.3569221496582, output_fired_time: 11.7195329666138, propagate_forward_time: 382.928161621094, propagate_backward_time: 586.257385253906, weight_update_time: 1.10716378688812, other_time: 12.3915405273438
epoch time: 78.0452194213867s, input_fired_time: 1.35281908512115, output_fired_time: 0, propagate_forward_time: 75.0419158935547, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.65048217773438
validation[          , genome 16714] predictions:    9871/  10000 (98.71%), best:    9883/10000 (98.83%), error:       435.42938, best error:       365.86789 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 988.5467529297s, input_fired_time: 11.7461147308, output_fired_time: 11.8118810654, propagate_forward_time: 348.7842407227, propagate_backward_time: 603.8352661133, weight_update_time: 1.2785252333, other_time: 12.3692626953
epoch time: 77.2149505615s, input_fired_time: 1.3507075310, output_fired_time: 0.0000000000, propagate_forward_time: 73.9965133667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8677291870
validation[          , genome 16714] predictions:    9875/  10000 (98.75%), best:    9883/10000 (98.83%), error:       402.55405, best error:       365.86789 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 977.5890502930s, input_fired_time: 11.2943954468, output_fired_time: 10.7382497787, propagate_forward_time: 369.9872436523, propagate_backward_time: 573.5313720703, weight_update_time: 0.9962936640, other_time: 12.0378417969
epoch time: 77.4863662720s, input_fired_time: 1.6033145189, output_fired_time: 0.0000000000, propagate_forward_time: 73.5188140869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3642349243
validation[          , genome 16714] predictions:    9868/  10000 (98.68%), best:    9883/10000 (98.83%), error:       444.69464, best error:       365.86789 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 978.0034790039s, input_fired_time: 11.2994995117, output_fired_time: 10.9967288971, propagate_forward_time: 365.7567138672, propagate_backward_time: 578.6652832031, weight_update_time: 0.9973828793, other_time: 11.2852783203
epoch time: 77.1848831177s, input_fired_time: 1.3570394516, output_fired_time: 0.0000000000, propagate_forward_time: 73.4625625610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3652801514
validation[          , genome 16714] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       383.81577, best error:       365.86789 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 977.4371948242s, input_fired_time: 11.7941246033, output_fired_time: 10.4867782593, propagate_forward_time: 368.7392272949, propagate_backward_time: 574.1228027344, weight_update_time: 0.9952300787, other_time: 12.2943115234
epoch time: 76.9904708862s, input_fired_time: 1.3554573059, output_fired_time: 0.0000000000, propagate_forward_time: 72.7719650269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8630447388
validation[          , genome 16714] predictions:    9882/  10000 (98.82%), best:    9883/10000 (98.83%), error:       377.66425, best error:       365.86789 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 968.4172363281s, input_fired_time: 11.2406272888, output_fired_time: 10.8894472122, propagate_forward_time: 363.0769958496, propagate_backward_time: 571.7124633789, weight_update_time: 0.9920555949, other_time: 11.4977416992
epoch time: 74.5335693359s, input_fired_time: 1.5792365074, output_fired_time: 0.0000000000, propagate_forward_time: 70.8745727539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0797576904
validation[          , genome 16714] predictions:    9880/  10000 (98.80%), best:    9883/10000 (98.83%), error:       376.24011, best error:       365.86789 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 907.8276977539s, input_fired_time: 11.1404857635, output_fired_time: 11.4661359787, propagate_forward_time: 339.3948059082, propagate_backward_time: 532.8547363281, weight_update_time: 0.7121495605, other_time: 12.9715576172
epoch time: 68.8852157593s, input_fired_time: 1.2652753592, output_fired_time: 0.0000000000, propagate_forward_time: 65.8717041016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7482376099
validation[          , genome 16714] predictions:    9865/  10000 (98.65%), best:    9883/10000 (98.83%), error:       420.12015, best error:       365.86789 on epoch:    39, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 854.2998657227s, input_fired_time: 11.3075027466, output_fired_time: 9.7586355209, propagate_forward_time: 319.8430786133, propagate_backward_time: 503.7673339844, weight_update_time: 0.6818913221, other_time: 9.6233520508
epoch time: 64.0513153076s, input_fired_time: 1.2095696926, output_fired_time: 0.0000000000, propagate_forward_time: 60.6389694214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2027778625
validation[          , genome 16714] predictions:    9878/  10000 (98.78%), best:    9878/10000 (98.78%), error:       364.30661, best error:       364.30661 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 796.0933227539s, input_fired_time: 10.7686281204, output_fired_time: 10.8622350693, propagate_forward_time: 281.6545104980, propagate_backward_time: 482.8069458008, weight_update_time: 0.8976604939, other_time: 10.0010070801
epoch time: 60.5164985657s, input_fired_time: 1.4266713858, output_fired_time: 0.0000000000, propagate_forward_time: 56.9281616211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1616668701
validation[          , genome 16714] predictions:    9879/  10000 (98.79%), best:    9878/10000 (98.78%), error:       405.22015, best error:       364.30661 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 779.1232299805s, input_fired_time: 9.6648941040, output_fired_time: 8.1942195892, propagate_forward_time: 291.4830017090, propagate_backward_time: 458.8013000488, weight_update_time: 0.8908775449, other_time: 10.9797973633
epoch time: 63.9195404053s, input_fired_time: 0.9625309110, output_fired_time: 0.0000000000, propagate_forward_time: 61.0175590515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9394493103
validation[          , genome 16714] predictions:    9841/  10000 (98.41%), best:    9878/10000 (98.78%), error:       503.84399, best error:       364.30661 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 777.6190185547s, input_fired_time: 8.6357231140, output_fired_time: 8.3999528885, propagate_forward_time: 286.3818664551, propagate_backward_time: 462.9948425293, weight_update_time: 1.1403166056, other_time: 11.2066040039
epoch time: 59.8677978516s, input_fired_time: 1.1748789549, output_fired_time: 0.0000000000, propagate_forward_time: 56.5360832214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1568374634
validation[          , genome 16714] predictions:    9892/  10000 (98.92%), best:    9878/10000 (98.78%), error:       368.54184, best error:       364.30661 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 764.7689208984s, input_fired_time: 10.5855922699, output_fired_time: 8.6213264465, propagate_forward_time: 277.1904296875, propagate_backward_time: 457.5162963867, weight_update_time: 0.8824034333, other_time: 10.8552856445
epoch time: 62.5876922607s, input_fired_time: 0.9526317716, output_fired_time: 0.0000000000, propagate_forward_time: 59.6965866089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9384727478
validation[          , genome 16714] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       355.98831, best error:       355.98831 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 767.4045410156s, input_fired_time: 9.6163120270, output_fired_time: 9.3989238739, propagate_forward_time: 287.1295471191, propagate_backward_time: 450.1122131348, weight_update_time: 0.6343559623, other_time: 11.1475219727
epoch time: 56.8862533569s, input_fired_time: 1.3875141144, output_fired_time: 0.0000000000, propagate_forward_time: 53.6122398376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8865013123
validation[          , genome 16714] predictions:    9837/  10000 (98.37%), best:    9896/10000 (98.96%), error:       496.51050, best error:       355.98831 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 791.7359008789s, input_fired_time: 10.2393207550, output_fired_time: 9.0874471664, propagate_forward_time: 290.7391052246, propagate_backward_time: 472.3860778809, weight_update_time: 0.6513824463, other_time: 9.2839355469
epoch time: 62.3933753967s, input_fired_time: 0.9499900937, output_fired_time: 0.0000000000, propagate_forward_time: 59.5273666382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9160194397
validation[          , genome 16714] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       363.11002, best error:       355.98831 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 763.5265502930s, input_fired_time: 9.8205595016, output_fired_time: 10.0775461197, propagate_forward_time: 270.3879394531, propagate_backward_time: 462.0923461914, weight_update_time: 1.1357960701, other_time: 11.1481323242
epoch time: 61.3330078125s, input_fired_time: 1.1889618635, output_fired_time: 0.0000000000, propagate_forward_time: 57.7070655823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4369812012
validation[          , genome 16714] predictions:    9876/  10000 (98.76%), best:    9896/10000 (98.96%), error:       370.42471, best error:       355.98831 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 766.5488891602s, input_fired_time: 9.6136054993, output_fired_time: 8.1143856049, propagate_forward_time: 282.5428161621, propagate_backward_time: 454.9156799316, weight_update_time: 0.8827586174, other_time: 11.3624267578
epoch time: 54.8042259216s, input_fired_time: 1.1185809374, output_fired_time: 0.0000000000, propagate_forward_time: 51.8404884338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8451576233
validation[          , genome 16714] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       366.12219, best error:       355.98831 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 759.1621704102s, input_fired_time: 8.3121557236, output_fired_time: 7.5563688278, propagate_forward_time: 284.7289428711, propagate_backward_time: 448.7490234375, weight_update_time: 1.1292881966, other_time: 9.8156738281
epoch time: 63.0737953186s, input_fired_time: 0.9557187557, output_fired_time: 0.0000000000, propagate_forward_time: 60.4276809692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6903953552
validation[          , genome 16714] predictions:    9891/  10000 (98.91%), best:    9891/10000 (98.91%), error:       348.49451, best error:       348.49451 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 806.7131958008s, input_fired_time: 10.3518810272, output_fired_time: 8.9403390884, propagate_forward_time: 297.7005615234, propagate_backward_time: 477.8570251465, weight_update_time: 0.9052546620, other_time: 11.8633728027
epoch time: 62.4744300842s, input_fired_time: 1.7020906210, output_fired_time: 0.0000000000, propagate_forward_time: 59.0892906189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6830482483
validation[          , genome 16714] predictions:    9889/  10000 (98.89%), best:    9891/10000 (98.91%), error:       362.30774, best error:       348.49451 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 780.3038940430s, input_fired_time: 10.4827995300, output_fired_time: 8.2621526718, propagate_forward_time: 296.1224060059, propagate_backward_time: 453.7344970703, weight_update_time: 1.3924092054, other_time: 11.7020568848
epoch time: 60.3599510193s, input_fired_time: 1.4323074818, output_fired_time: 0.0000000000, propagate_forward_time: 57.2634963989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6641464233
validation[          , genome 16714] predictions:    9897/  10000 (98.97%), best:    9891/10000 (98.91%), error:       348.52243, best error:       348.49451 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 828.0075073242s, input_fired_time: 11.4429674149, output_fired_time: 9.5706739426, propagate_forward_time: 306.9598083496, propagate_backward_time: 489.4932250977, weight_update_time: 0.6739145517, other_time: 10.5408020020
epoch time: 65.7581329346s, input_fired_time: 1.4852910042, output_fired_time: 0.0000000000, propagate_forward_time: 62.5491065979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7237358093
validation[          , genome 16714] predictions:    9888/  10000 (98.88%), best:    9891/10000 (98.91%), error:       359.11444, best error:       348.49451 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 786.5025634766s, input_fired_time: 9.7595891953, output_fired_time: 9.5642614365, propagate_forward_time: 294.7027282715, propagate_backward_time: 461.2158203125, weight_update_time: 0.6457315087, other_time: 11.2601623535
epoch time: 57.5464019775s, input_fired_time: 1.4014629126, output_fired_time: 0.0000000000, propagate_forward_time: 54.5193519592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6255874634
validation[          , genome 16714] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       336.86804, best error:       336.86804 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 750.1632080078s, input_fired_time: 9.7989339828, output_fired_time: 7.7455530167, propagate_forward_time: 283.9079895020, propagate_backward_time: 438.4231262207, weight_update_time: 0.8767790794, other_time: 10.2875976563
epoch time: 58.7017173767s, input_fired_time: 1.4129092693, output_fired_time: 0.0000000000, propagate_forward_time: 55.8988838196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3899230957
validation[          , genome 16714] predictions:    9871/  10000 (98.71%), best:    9892/10000 (98.92%), error:       405.62418, best error:       336.86804 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 750.9663085938s, input_fired_time: 8.5444755554, output_fired_time: 8.2648239136, propagate_forward_time: 268.5692138672, propagate_backward_time: 454.0479736328, weight_update_time: 0.6269097328, other_time: 11.5397949219
epoch time: 56.9472579956s, input_fired_time: 0.8935310841, output_fired_time: 0.0000000000, propagate_forward_time: 53.9352836609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1184425354
validation[          , genome 16714] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       356.49472, best error:       336.86804 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 737.7917480469s, input_fired_time: 10.2242450714, output_fired_time: 7.6358690262, propagate_forward_time: 275.0130615234, propagate_backward_time: 435.7241821289, weight_update_time: 0.8671479821, other_time: 9.1943969727
epoch time: 52.9019126892s, input_fired_time: 1.5981295109, output_fired_time: 0.0000000000, propagate_forward_time: 49.4920349121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8117485046
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9892/10000 (98.92%), error:       361.21255, best error:       336.86804 on epoch:    60, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 653.6825561523s, input_fired_time: 9.9798212051, output_fired_time: 8.4710855484, propagate_forward_time: 236.5369720459, propagate_backward_time: 388.2006225586, weight_update_time: 0.8243243098, other_time: 10.4940795898
epoch time: 46.3237190247s, input_fired_time: 1.5301456451, output_fired_time: 0.0000000000, propagate_forward_time: 42.3030128479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4905586243
validation[          , genome 16714] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       370.75290, best error:       336.86804 on epoch:    60, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 633.9259643555s, input_fired_time: 10.6216487885, output_fired_time: 7.5846505165, propagate_forward_time: 227.7511291504, propagate_backward_time: 378.3367004395, weight_update_time: 1.0638803244, other_time: 9.6318359375
epoch time: 51.7479362488s, input_fired_time: 1.0894320011, output_fired_time: 0.0000000000, propagate_forward_time: 49.1060752869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5524291992
validation[          , genome 16714] predictions:    9897/  10000 (98.97%), best:    9897/10000 (98.97%), error:       331.53250, best error:       331.53250 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 627.6413574219s, input_fired_time: 8.3333015442, output_fired_time: 7.2930264473, propagate_forward_time: 228.3547668457, propagate_backward_time: 375.3089294434, weight_update_time: 0.5600253344, other_time: 8.3513183594
epoch time: 46.9466285706s, input_fired_time: 1.0394157171, output_fired_time: 0.0000000000, propagate_forward_time: 44.4103279114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4968833923
validation[          , genome 16714] predictions:    9892/  10000 (98.92%), best:    9897/10000 (98.97%), error:       343.64481, best error:       331.53250 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 635.4085693359s, input_fired_time: 10.4030361176, output_fired_time: 7.5892548561, propagate_forward_time: 239.1490173340, propagate_backward_time: 369.1024780273, weight_update_time: 0.8160548806, other_time: 9.1648254395
epoch time: 48.0135269165s, input_fired_time: 1.0523943901, output_fired_time: 0.0000000000, propagate_forward_time: 43.7014236450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2597084045
validation[          , genome 16714] predictions:    9859/  10000 (98.59%), best:    9897/10000 (98.97%), error:       436.47827, best error:       331.53250 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 618.0057983398s, input_fired_time: 8.0309362411, output_fired_time: 7.4470286369, propagate_forward_time: 219.9479827881, propagate_backward_time: 372.7645263672, weight_update_time: 1.0560859442, other_time: 9.8153076172
epoch time: 45.2864875793s, input_fired_time: 0.7721362114, output_fired_time: 0.0000000000, propagate_forward_time: 43.2902946472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2240562439
validation[          , genome 16714] predictions:    9891/  10000 (98.91%), best:    9897/10000 (98.97%), error:       347.09863, best error:       331.53250 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 641.1906738281s, input_fired_time: 8.6854429245, output_fired_time: 7.3841667175, propagate_forward_time: 230.4838714600, propagate_backward_time: 383.1622924805, weight_update_time: 1.0694183111, other_time: 11.4749145508
epoch time: 46.0487136841s, input_fired_time: 1.5270079374, output_fired_time: 0.0000000000, propagate_forward_time: 43.0346221924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4870834351
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9897/10000 (98.97%), error:       348.10635, best error:       331.53250 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 674.2726440430s, input_fired_time: 10.6257114410, output_fired_time: 8.1388578415, propagate_forward_time: 248.2675323486, propagate_backward_time: 397.6051940918, weight_update_time: 0.5844403505, other_time: 9.6353454590
epoch time: 50.8645095825s, input_fired_time: 1.8346551657, output_fired_time: 0.0000000000, propagate_forward_time: 47.7366333008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2932205200
validation[          , genome 16714] predictions:    9890/  10000 (98.90%), best:    9897/10000 (98.97%), error:       333.88419, best error:       331.53250 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 659.9946289063s, input_fired_time: 8.7870197296, output_fired_time: 8.0448732376, propagate_forward_time: 238.7112274170, propagate_backward_time: 396.1671447754, weight_update_time: 0.5760808587, other_time: 8.2843322754
epoch time: 54.6707649231s, input_fired_time: 1.1229315996, output_fired_time: 0.0000000000, propagate_forward_time: 51.7168083191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8310241699
validation[          , genome 16714] predictions:    9885/  10000 (98.85%), best:    9897/10000 (98.97%), error:       347.58560, best error:       331.53250 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 738.0682373047s, input_fired_time: 10.7390565872, output_fired_time: 9.1282835007, propagate_forward_time: 275.9139099121, propagate_backward_time: 431.5115356445, weight_update_time: 0.6215444207, other_time: 10.7754211426
epoch time: 61.3186416626s, input_fired_time: 0.9464457035, output_fired_time: 0.0000000000, propagate_forward_time: 58.1931838989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1790122986
validation[          , genome 16714] predictions:    9879/  10000 (98.79%), best:    9897/10000 (98.97%), error:       405.34778, best error:       331.53250 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 813.6191406250s, input_fired_time: 10.4158105850, output_fired_time: 8.7588634491, propagate_forward_time: 300.8807678223, propagate_backward_time: 481.9085998535, weight_update_time: 0.9091945887, other_time: 11.6550903320
epoch time: 63.9762458801s, input_fired_time: 1.2250462770, output_fired_time: 0.0000000000, propagate_forward_time: 60.7710075378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9801902771
validation[          , genome 16714] predictions:    9863/  10000 (98.63%), best:    9897/10000 (98.97%), error:       410.40698, best error:       331.53250 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 796.1627197266s, input_fired_time: 9.5728664398, output_fired_time: 9.3614645004, propagate_forward_time: 300.3752441406, propagate_backward_time: 467.0330810547, weight_update_time: 0.9009919763, other_time: 9.8200683594
epoch time: 63.9746704102s, input_fired_time: 1.2214543819, output_fired_time: 0.0000000000, propagate_forward_time: 61.0538673401, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6993484497
validation[          , genome 16714] predictions:    9878/  10000 (98.78%), best:    9897/10000 (98.97%), error:       362.75418, best error:       331.53250 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 808.9714965820s, input_fired_time: 9.1570787430, output_fired_time: 9.1527070999, propagate_forward_time: 297.5539550781, propagate_backward_time: 480.2131042480, weight_update_time: 0.9087357521, other_time: 12.8946228027
epoch time: 55.4748840332s, input_fired_time: 1.3831070662, output_fired_time: 0.0000000000, propagate_forward_time: 52.7439918518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3477859497
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9897/10000 (98.97%), error:       338.30048, best error:       331.53250 on epoch:    65, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 792.2661743164s, input_fired_time: 9.3440752029, output_fired_time: 8.8398742676, propagate_forward_time: 294.2633056641, propagate_backward_time: 469.5718383789, weight_update_time: 0.6451616883, other_time: 10.2471313477
epoch time: 65.1947708130s, input_fired_time: 1.4870487452, output_fired_time: 0.0000000000, propagate_forward_time: 61.4919242859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2157974243
validation[          , genome 16714] predictions:    9887/  10000 (98.87%), best:    9897/10000 (98.97%), error:       355.18930, best error:       331.53250 on epoch:    65, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 843.1656494141s, input_fired_time: 10.8188991547, output_fired_time: 9.7016668320, propagate_forward_time: 312.6882019043, propagate_backward_time: 497.6222534180, weight_update_time: 0.9287813902, other_time: 12.3346252441
epoch time: 64.8233184814s, input_fired_time: 1.2301492691, output_fired_time: 0.0000000000, propagate_forward_time: 61.3715705872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2215995789
validation[          , genome 16714] predictions:    9895/  10000 (98.95%), best:    9897/10000 (98.97%), error:       340.96207, best error:       331.53250 on epoch:    65, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 837.2973022461s, input_fired_time: 11.2892856598, output_fired_time: 10.6487817764, propagate_forward_time: 308.9112243652, propagate_backward_time: 494.6794128418, weight_update_time: 1.1719609499, other_time: 11.7685546875
epoch time: 67.0387573242s, input_fired_time: 1.5045560598, output_fired_time: 0.0000000000, propagate_forward_time: 63.7752227783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7589797974
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9897/10000 (98.97%), error:       347.28384, best error:       331.53250 on epoch:    65, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 851.4852905273s, input_fired_time: 11.8889789581, output_fired_time: 10.5150442123, propagate_forward_time: 311.2914428711, propagate_backward_time: 506.3473815918, weight_update_time: 0.6859691143, other_time: 11.4424743652
epoch time: 69.9361343384s, input_fired_time: 1.2914205790, output_fired_time: 0.0000000000, propagate_forward_time: 66.6144485474, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0302658081
validation[          , genome 16714] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       331.02435, best error:       331.02435 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 909.7886962891s, input_fired_time: 11.4837656021, output_fired_time: 9.9690961838, propagate_forward_time: 335.0382385254, propagate_backward_time: 542.5037231445, weight_update_time: 0.7188281417, other_time: 10.7938842773
epoch time: 74.0018615723s, input_fired_time: 1.3331500292, output_fired_time: 0.0000000000, propagate_forward_time: 70.3610763550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3076324463
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9895/10000 (98.95%), error:       335.27127, best error:       331.02435 on epoch:    79, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 943.5372314453s, input_fired_time: 12.6774663925, output_fired_time: 10.4794034958, propagate_forward_time: 353.7778320313, propagate_backward_time: 554.6787719727, weight_update_time: 0.9820238352, other_time: 11.9237060547
epoch time: 74.3376617432s, input_fired_time: 1.5898253918, output_fired_time: 0.0000000000, propagate_forward_time: 71.1581115723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5897216797
validation[          , genome 16714] predictions:    9886/  10000 (98.86%), best:    9895/10000 (98.95%), error:       351.99786, best error:       331.02435 on epoch:    79, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 944.4031372070s, input_fired_time: 12.6771135330, output_fired_time: 10.4841394424, propagate_forward_time: 355.9672241211, propagate_backward_time: 553.8650512695, weight_update_time: 0.7321833372, other_time: 11.4096069336
epoch time: 74.9137496948s, input_fired_time: 1.5919491053, output_fired_time: 0.0000000000, propagate_forward_time: 70.7337112427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5880889893
validation[          , genome 16714] predictions:    9867/  10000 (98.67%), best:    9895/10000 (98.95%), error:       382.50742, best error:       331.02435 on epoch:    79, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 940.7967529297s, input_fired_time: 11.6685857773, output_fired_time: 11.4262380600, propagate_forward_time: 353.7756042480, propagate_backward_time: 551.8073730469, weight_update_time: 0.7268590927, other_time: 12.1190185547
epoch time: 73.2230682373s, input_fired_time: 1.3268281221, output_fired_time: 0.0000000000, propagate_forward_time: 70.0853729248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8108673096
validation[          , genome 16714] predictions:    9896/  10000 (98.96%), best:    9895/10000 (98.95%), error:       334.49619, best error:       331.02435 on epoch:    79, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 920.6486816406s, input_fired_time: 10.0418024063, output_fired_time: 10.8425064087, propagate_forward_time: 342.7325134277, propagate_backward_time: 547.0250854492, weight_update_time: 0.9669801593, other_time: 10.0067749023
epoch time: 71.7630920410s, input_fired_time: 1.0586421490, output_fired_time: 0.0000000000, propagate_forward_time: 68.8957061768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8087463379
validation[          , genome 16714] predictions:    9881/  10000 (98.81%), best:    9895/10000 (98.95%), error:       346.09900, best error:       331.02435 on epoch:    79, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 922.6321411133s, input_fired_time: 12.2882909775, output_fired_time: 11.5676336288, propagate_forward_time: 346.8159484863, propagate_backward_time: 539.8665771484, weight_update_time: 0.7243991494, other_time: 12.0937500000
epoch time: 72.6491012573s, input_fired_time: 1.8242063522, output_fired_time: 0.0000000000, propagate_forward_time: 68.0110855103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8138122559
validation[          , genome 16714] predictions:    9884/  10000 (98.84%), best:    9895/10000 (98.95%), error:       371.27576, best error:       331.02435 on epoch:    79, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 931.8743286133s, input_fired_time: 11.8517456055, output_fired_time: 11.1128997803, propagate_forward_time: 349.4368591309, propagate_backward_time: 548.4071044922, weight_update_time: 0.7241027355, other_time: 11.0656738281
epoch time: 72.5424270630s, input_fired_time: 1.3160083294, output_fired_time: 0.0000000000, propagate_forward_time: 69.1707763672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0556411743
validation[          , genome 16714] predictions:    9890/  10000 (98.90%), best:    9895/10000 (98.95%), error:       344.75116, best error:       331.02435 on epoch:    79, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 923.8529663086s, input_fired_time: 12.5791912079, output_fired_time: 10.8274450302, propagate_forward_time: 345.2210388184, propagate_backward_time: 545.6573486328, weight_update_time: 0.9745787382, other_time: 9.5679931641
epoch time: 72.7336120605s, input_fired_time: 1.5783866644, output_fired_time: 0.0000000000, propagate_forward_time: 69.3310394287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8241882324
validation[          , genome 16714] predictions:    9890/  10000 (98.90%), best:    9895/10000 (98.95%), error:       369.98193, best error:       331.02435 on epoch:    79, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 949.1099243164s, input_fired_time: 9.9698696136, output_fired_time: 10.0105562210, propagate_forward_time: 351.9801940918, propagate_backward_time: 564.4751586914, weight_update_time: 0.7333843112, other_time: 12.6741333008
epoch time: 73.1704559326s, input_fired_time: 1.0787451267, output_fired_time: 0.0000000000, propagate_forward_time: 69.2635498047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8281631470
validation[          , genome 16714] predictions:    9890/  10000 (98.90%), best:    9895/10000 (98.95%), error:       342.55600, best error:       331.02435 on epoch:    79, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 938.9300537109s, input_fired_time: 11.9173078537, output_fired_time: 9.6658840179, propagate_forward_time: 350.2753601074, propagate_backward_time: 554.1758422852, weight_update_time: 0.9796630740, other_time: 12.8956909180
epoch time: 73.5702133179s, input_fired_time: 1.3314852715, output_fired_time: 0.0000000000, propagate_forward_time: 69.9059448242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3327865601
validation[          , genome 16714] predictions:    9872/  10000 (98.72%), best:    9895/10000 (98.95%), error:       437.72672, best error:       331.02435 on epoch:    79, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 934.6899414063s, input_fired_time: 12.3790817261, output_fired_time: 11.6146793365, propagate_forward_time: 349.5893859863, propagate_backward_time: 549.2157592773, weight_update_time: 0.9792781472, other_time: 11.8910522461
epoch time: 72.5436935425s, input_fired_time: 1.0684454441, output_fired_time: 0.0000000000, propagate_forward_time: 69.1549301147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3203201294
validation[          , genome 16714] predictions:    9899/  10000 (98.99%), best:    9899/10000 (98.99%), error:       330.04156, best error:       330.04156 on epoch:    90, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 915.3052368164s, input_fired_time: 14.2893915176, output_fired_time: 9.5344495773, propagate_forward_time: 340.2679138184, propagate_backward_time: 539.7131347656, weight_update_time: 0.7152107954, other_time: 11.5003662109
epoch time: 71.4233016968s, input_fired_time: 1.3157185316, output_fired_time: 0.0000000000, propagate_forward_time: 67.8038253784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3037567139
validation[          , genome 16714] predictions:    9897/  10000 (98.97%), best:    9897/10000 (98.97%), error:       319.29642, best error:       319.29642 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 892.6837158203s, input_fired_time: 10.9128026962, output_fired_time: 9.5896072388, propagate_forward_time: 335.1110229492, propagate_backward_time: 526.4568481445, weight_update_time: 0.7034962773, other_time: 10.6134643555
epoch time: 66.8779830933s, input_fired_time: 1.2586022615, output_fired_time: 0.0000000000, propagate_forward_time: 63.1280899048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4912872314
validation[          , genome 16714] predictions:    9898/  10000 (98.98%), best:    9897/10000 (98.97%), error:       351.85983, best error:       319.29642 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 856.4028320313s, input_fired_time: 9.6868944168, output_fired_time: 9.5619888306, propagate_forward_time: 317.6847534180, propagate_backward_time: 508.8235473633, weight_update_time: 1.4316201210, other_time: 10.6456298828
epoch time: 66.2894744873s, input_fired_time: 2.0057561398, output_fired_time: 0.0000000000, propagate_forward_time: 62.2750320435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0086898804
validation[          , genome 16714] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       313.99789, best error:       313.99789 on epoch:    93, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 811.9093017578s, input_fired_time: 9.7114210129, output_fired_time: 10.1807527542, propagate_forward_time: 299.3342285156, propagate_backward_time: 481.5613098145, weight_update_time: 0.9084490538, other_time: 11.1216125488
epoch time: 60.5456275940s, input_fired_time: 1.6964756250, output_fired_time: 0.0000000000, propagate_forward_time: 57.4369964600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4121551514
validation[          , genome 16714] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       322.74268, best error:       313.99789 on epoch:    93, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 812.9822387695s, input_fired_time: 12.1796636581, output_fired_time: 9.1873292923, propagate_forward_time: 297.8089294434, propagate_backward_time: 484.1492614746, weight_update_time: 1.1612669230, other_time: 9.6570434570
epoch time: 60.9905014038s, input_fired_time: 1.4469809532, output_fired_time: 0.0000000000, propagate_forward_time: 57.8580055237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6855163574
validation[          , genome 16714] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       324.69449, best error:       313.99789 on epoch:    93, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 817.9030151367s, input_fired_time: 10.7304363251, output_fired_time: 9.0219020844, propagate_forward_time: 299.2375183105, propagate_backward_time: 487.7084655762, weight_update_time: 0.6632045507, other_time: 11.2047119141
epoch time: 65.1308517456s, input_fired_time: 1.4932010174, output_fired_time: 0.0000000000, propagate_forward_time: 61.6550178528, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9826316833
validation[          , genome 16714] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       362.19687, best error:       313.99789 on epoch:    93, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 767.0155639648s, input_fired_time: 8.7092933655, output_fired_time: 9.1381740570, propagate_forward_time: 291.8593139648, propagate_backward_time: 446.1688537598, weight_update_time: 0.6340228319, other_time: 11.1399230957
epoch time: 60.8416061401s, input_fired_time: 1.1958273649, output_fired_time: 0.0000000000, propagate_forward_time: 57.4765319824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1692466736
validation[          , genome 16714] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       340.16708, best error:       313.99789 on epoch:    93, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 774.9279785156s, input_fired_time: 10.2677526474, output_fired_time: 8.1498889923, propagate_forward_time: 291.6198120117, propagate_backward_time: 455.4357910156, weight_update_time: 0.6388662457, other_time: 9.4547119141
epoch time: 60.0941772461s, input_fired_time: 1.1884047985, output_fired_time: 0.0000000000, propagate_forward_time: 57.2521667480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6536064148
validation[          , genome 16714] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       327.16306, best error:       313.99789 on epoch:    93, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 696.7368774414s, input_fired_time: 9.3094387054, output_fired_time: 7.8282923698, propagate_forward_time: 260.1090393066, propagate_backward_time: 407.9801025391, weight_update_time: 0.5987985730, other_time: 11.5099792480
epoch time: 50.6495361328s, input_fired_time: 1.0879501104, output_fired_time: 0.0000000000, propagate_forward_time: 47.7732391357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7883453369
validation[          , genome 16714] predictions:    9893/  10000 (98.93%), best:    9903/10000 (99.03%), error:       329.72601, best error:       313.99789 on epoch:    93, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 670.2944335938s, input_fired_time: 10.1416807175, output_fired_time: 7.3461356163, propagate_forward_time: 236.1126251221, propagate_backward_time: 405.5731506348, weight_update_time: 1.0831580162, other_time: 11.1208801270
epoch time: 52.2676277161s, input_fired_time: 1.1086314917, output_fired_time: 0.0000000000, propagate_forward_time: 49.5983352661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5606613159
validation[          , genome 16714] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       334.12936, best error:       313.99789 on epoch:    93, 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: 251.4049377441s, input_fired_time: 4.6861286163, output_fired_time: 0.0000000000, propagate_forward_time: 238.4449615479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2738494873
best training[          , genome 16714] predictions:   50000/  50000 (100.00%), best:    9903/10000 (99.03%), error:       133.93741, best error:       313.99789 on epoch:    93, 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: 54.4334793091s, input_fired_time: 1.1225246191, output_fired_time: 0.0000000000, propagate_forward_time: 51.2135467529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0974082947
   testing[          , genome 16714] predictions:    9912/  10000 (99.12%), best:    9903/10000 (99.03%), error:       284.60306, best error:       313.99789 on epoch:    93, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
23:50:14 (9368): called boinc_finish(0)

</stderr_txt>
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