Nameexact_genome_1512568488_42_7078_1
Workunit2606635
Created7 Dec 2017, 23:40:40 UTC
Sent7 Dec 2017, 23:49:16 UTC
Report deadline14 Dec 2017, 15:25:11 UTC
Received8 Dec 2017, 15:03:13 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID55111
Run time1 hours 49 min 42 sec
CPU time1 hours 47 min 29 sec
Validate stateValid
Credit1,662.49
Device peak FLOPS4.81 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size158.68 MB
Peak swap size162.24 MB
Peak disk usage2.76 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
gation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078_1_r949555878_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: 0.899827
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00230032
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.20129e-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: 33
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 9757
read best_validation_error: 829.514
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: 7078
read normal distribution: '1 -2.46699333190918 -0.446368157863617'
generator_str: '770854222'
read generator: 770854222
read generated_by_map:
1 add_node 1
reading 34 nodes.
reading 104 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: 76.7126770019531s, input_fired_time: 0.652610242366791, output_fired_time: 0.556544780731201, propagate_forward_time: 24.2582683563232, propagate_backward_time: 49.9345321655273, weight_update_time: 0.173108398914337, other_time: 1.31072235107422
epoch time: 6.29465532302856s, input_fired_time: 0.0734219327569008, output_fired_time: 0, propagate_forward_time: 6.00338792800903, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.217845439910889
validation[          , genome  7078] predictions:    9698/  10000 (96.98%), best:    9757/10000 (97.57%), error:      1004.77814, best error:       829.51410 on epoch:    19, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 79.4643707275s, input_fired_time: 0.6674987078, output_fired_time: 0.5682324767, propagate_forward_time: 25.0566387177, propagate_backward_time: 51.8030090332, weight_update_time: 0.1810480058, other_time: 1.3689956665
epoch time: 5.4607133865s, input_fired_time: 0.0770959184, output_fired_time: 0.0000000000, propagate_forward_time: 5.1577486992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2258687019
validation[          , genome  7078] predictions:    9720/  10000 (97.20%), best:    9757/10000 (97.57%), error:       870.94427, best error:       829.51410 on epoch:    19, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 79.4342727661s, input_fired_time: 0.6757401228, output_fired_time: 0.5722798705, propagate_forward_time: 27.6335544586, propagate_backward_time: 47.1331367493, weight_update_time: 0.1840415001, other_time: 3.4195594788
epoch time: 5.1830239296s, input_fired_time: 0.0754962936, output_fired_time: 0.0000000000, propagate_forward_time: 4.8874483109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2200794220
validation[          , genome  7078] predictions:    9695/  10000 (96.95%), best:    9757/10000 (97.57%), error:      1018.45605, best error:       829.51410 on epoch:    19, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 81.8382110596s, input_fired_time: 0.6865764260, output_fired_time: 0.5916302204, propagate_forward_time: 27.7281379700, propagate_backward_time: 51.4105682373, weight_update_time: 0.1873811036, other_time: 1.4212989807
epoch time: 6.1284189224s, input_fired_time: 1.1350364685, output_fired_time: 0.0000000000, propagate_forward_time: 4.7772569656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2161254883
validation[          , genome  7078] predictions:    9758/  10000 (97.58%), best:    9758/10000 (97.58%), error:       800.87756, best error:       800.87756 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078_1_r949555878_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-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: 37
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 36
read number_validation_images: 10000
read best_validation_predictions: 9758
read best_validation_error: 800.878
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: 7078
read normal distribution: '1 -2.46699333190918 -0.446368157863617'
generator_str: '1997182920'
read generator: 1997182920
read generated_by_map:
1 add_node 1
reading 34 nodes.
reading 104 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: 80.5966720581055s, input_fired_time: 0.678155422210693, output_fired_time: 0.593974769115448, propagate_forward_time: 26.0401382446289, propagate_backward_time: 51.8890495300293, weight_update_time: 0.184344738721848, other_time: 1.39535903930664
epoch time: 6.41652917861938s, input_fired_time: 1.03563642501831, output_fired_time: 0, propagate_forward_time: 5.15919876098633, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.221693992614746
validation[          , genome  7078] predictions:    9674/  10000 (96.74%), best:    9758/10000 (97.58%), error:      1036.15125, best error:       800.87756 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_7078_1_r949555878_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: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-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: 38
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 36
read number_validation_images: 10000
read best_validation_predictions: 9758
read best_validation_error: 800.878
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: 7078
read normal distribution: '1 -2.46699333190918 -0.446368157863617'
generator_str: '1974003016'
read generator: 1974003016
read generated_by_map:
1 add_node 1
reading 34 nodes.
reading 104 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: 76.7589263916016s, input_fired_time: 0.661390542984009, output_fired_time: 0.557009637355804, propagate_forward_time: 25.728235244751, propagate_backward_time: 48.4804992675781, weight_update_time: 0.179552435874939, other_time: 1.33179473876953
epoch time: 6.27984762191772s, input_fired_time: 0.0746446698904037, output_fired_time: 0, propagate_forward_time: 5.98707723617554, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.218125820159912
validation[          , genome  7078] predictions:    9720/  10000 (97.20%), best:    9758/10000 (97.58%), error:       863.71863, best error:       800.87756 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 79.8514556885s, input_fired_time: 1.6777234077, output_fired_time: 0.5737146139, propagate_forward_time: 30.3075637817, propagate_backward_time: 45.9145698547, weight_update_time: 0.1839998215, other_time: 1.3778800964
epoch time: 5.2562851906s, input_fired_time: 0.0748845488, output_fired_time: 0.0000000000, propagate_forward_time: 4.9606266022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2207741737
validation[          , genome  7078] predictions:    9701/  10000 (97.01%), best:    9758/10000 (97.58%), error:       996.66034, best error:       800.87756 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 79.6407928467s, input_fired_time: 0.6771349907, output_fired_time: 1.5787428617, propagate_forward_time: 26.2503242493, propagate_backward_time: 49.7472457886, weight_update_time: 0.1848848909, other_time: 1.3873481750
epoch time: 6.2832531929s, input_fired_time: 0.0749106333, output_fired_time: 0.0000000000, propagate_forward_time: 5.9858179092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2225246429
validation[          , genome  7078] predictions:    9725/  10000 (97.25%), best:    9758/10000 (97.58%), error:       858.30493, best error:       800.87756 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 81.2961349487s, input_fired_time: 0.6806921363, output_fired_time: 0.5780690908, propagate_forward_time: 28.4858150482, propagate_backward_time: 50.1660995483, weight_update_time: 0.1857274622, other_time: 1.3854522705
epoch time: 5.2504162788s, input_fired_time: 0.0751198828, output_fired_time: 0.0000000000, propagate_forward_time: 4.9569439888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2183523178
validation[          , genome  7078] predictions:    9753/  10000 (97.53%), best:    9753/10000 (97.53%), error:       786.77490, best error:       786.77490 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 80.7891845703s, input_fired_time: 0.6771623492, output_fired_time: 0.5749579072, propagate_forward_time: 26.2470874786, propagate_backward_time: 51.9079780579, weight_update_time: 0.1846813560, other_time: 1.3819999695
epoch time: 5.3333997726s, input_fired_time: 0.0758582503, output_fired_time: 0.0000000000, propagate_forward_time: 5.0312733650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2262682915
validation[          , genome  7078] predictions:    9738/  10000 (97.38%), best:    9753/10000 (97.53%), error:       865.95679, best error:       786.77490 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 80.3522262573s, input_fired_time: 1.6763497591, output_fired_time: 0.5725273490, propagate_forward_time: 25.0834121704, propagate_backward_time: 50.6334877014, weight_update_time: 1.1879960299, other_time: 2.3864479065
epoch time: 6.3960170746s, input_fired_time: 0.0764004067, output_fired_time: 0.0000000000, propagate_forward_time: 6.0939168930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2256999016
validation[          , genome  7078] predictions:    9754/  10000 (97.54%), best:    9753/10000 (97.53%), error:       815.24835, best error:       786.77490 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 81.0372009277s, input_fired_time: 0.6769053340, output_fired_time: 0.5800740719, propagate_forward_time: 24.2698917389, propagate_backward_time: 53.0997085571, weight_update_time: 0.1895308495, other_time: 2.4106292725
epoch time: 6.3687143326s, input_fired_time: 0.0768904462, output_fired_time: 0.0000000000, propagate_forward_time: 6.0670762062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2247476578
validation[          , genome  7078] predictions:    9697/  10000 (96.97%), best:    9753/10000 (97.53%), error:       916.50824, best error:       786.77490 on epoch:    41, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 80.8195343018s, input_fired_time: 0.6788291335, output_fired_time: 0.5803251863, propagate_forward_time: 23.3490161896, propagate_backward_time: 54.8200225830, weight_update_time: 0.1854805350, other_time: 1.3913497925
epoch time: 6.3402447701s, input_fired_time: 0.0771862566, output_fired_time: 0.0000000000, propagate_forward_time: 6.0415191650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2215394974
validation[          , genome  7078] predictions:    9722/  10000 (97.22%), best:    9753/10000 (97.53%), error:       887.45825, best error:       786.77490 on epoch:    41, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 81.0150527954s, input_fired_time: 0.6764075756, output_fired_time: 0.5726010203, propagate_forward_time: 28.2391262054, propagate_backward_time: 50.1269340515, weight_update_time: 0.1874050796, other_time: 1.3999824524
epoch time: 5.2151331902s, input_fired_time: 0.0759451240, output_fired_time: 0.0000000000, propagate_forward_time: 4.9203162193, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2188720703
validation[          , genome  7078] predictions:    9719/  10000 (97.19%), best:    9753/10000 (97.53%), error:       885.63239, best error:       786.77490 on epoch:    41, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 81.4074478149s, input_fired_time: 0.6763927341, output_fired_time: 0.5675430298, propagate_forward_time: 26.9602184296, propagate_backward_time: 51.8336677551, weight_update_time: 0.1837210953, other_time: 1.3696250916
epoch time: 5.3462018967s, input_fired_time: 0.0759811476, output_fired_time: 0.0000000000, propagate_forward_time: 5.0495157242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2207050323
validation[          , genome  7078] predictions:    9700/  10000 (97.00%), best:    9753/10000 (97.53%), error:      1000.70044, best error:       786.77490 on epoch:    41, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 80.9394149780s, input_fired_time: 2.6847198009, output_fired_time: 0.5760805607, propagate_forward_time: 29.2170104980, propagate_backward_time: 47.0709075928, weight_update_time: 0.1860997081, other_time: 1.3906936646
epoch time: 6.2738337517s, input_fired_time: 0.0764596686, output_fired_time: 0.0000000000, propagate_forward_time: 5.9742450714, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2231287956
validation[          , genome  7078] predictions:    9753/  10000 (97.53%), best:    9753/10000 (97.53%), error:       821.42303, best error:       786.77490 on epoch:    41, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 80.9514236450s, input_fired_time: 0.6806827784, output_fired_time: 1.5720003843, propagate_forward_time: 31.2981433868, propagate_backward_time: 46.0062446594, weight_update_time: 0.1856836379, other_time: 1.3943595886
epoch time: 6.2665858269s, input_fired_time: 0.0756709874, output_fired_time: 0.0000000000, propagate_forward_time: 5.9684157372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2224988937
validation[          , genome  7078] predictions:    9709/  10000 (97.09%), best:    9753/10000 (97.53%), error:       916.65039, best error:       786.77490 on epoch:    41, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 80.5518722534s, input_fired_time: 0.6765295863, output_fired_time: 0.5723919868, propagate_forward_time: 27.9564609528, propagate_backward_time: 49.9607162476, weight_update_time: 0.1857307851, other_time: 1.3857727051
epoch time: 5.2248916626s, input_fired_time: 0.0767414793, output_fired_time: 0.0000000000, propagate_forward_time: 4.9238381386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2243118286
validation[          , genome  7078] predictions:    9717/  10000 (97.17%), best:    9753/10000 (97.53%), error:       925.75092, best error:       786.77490 on epoch:    41, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 81.9185028076s, input_fired_time: 0.6809867024, output_fired_time: 0.5720819235, propagate_forward_time: 26.2425899506, propagate_backward_time: 53.0459899902, weight_update_time: 0.1847798973, other_time: 1.3768539429
epoch time: 5.4387631416s, input_fired_time: 0.0780498087, output_fired_time: 0.0000000000, propagate_forward_time: 5.1317157745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2289977074
validation[          , genome  7078] predictions:    9592/  10000 (95.92%), best:    9753/10000 (97.53%), error:      1312.23840, best error:       786.77490 on epoch:    41, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 80.1661605835s, input_fired_time: 1.6833219528, output_fired_time: 0.5812168121, propagate_forward_time: 23.3179550171, propagate_backward_time: 53.2055282593, weight_update_time: 0.1848036945, other_time: 1.3781433105
epoch time: 6.3304176331s, input_fired_time: 0.0772184953, output_fired_time: 0.0000000000, propagate_forward_time: 5.0285978317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2246012688
validation[          , genome  7078] predictions:    9719/  10000 (97.19%), best:    9753/10000 (97.53%), error:       876.83258, best error:       786.77490 on epoch:    41, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 80.0917663574s, input_fired_time: 1.6832110882, output_fired_time: 2.5813782215, propagate_forward_time: 24.1961650848, propagate_backward_time: 49.2431716919, weight_update_time: 1.1876430511, other_time: 2.3878402710
epoch time: 5.3999071121s, input_fired_time: 0.0780353025, output_fired_time: 0.0000000000, propagate_forward_time: 5.0933518410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2285199165
validation[          , genome  7078] predictions:    9725/  10000 (97.25%), best:    9753/10000 (97.53%), error:       850.86389, best error:       786.77490 on epoch:    41, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 79.5293655396s, input_fired_time: 0.6793022156, output_fired_time: 0.5756583810, propagate_forward_time: 28.4689464569, propagate_backward_time: 48.4289855957, weight_update_time: 0.1846495271, other_time: 1.3764724731
epoch time: 6.3943500519s, input_fired_time: 0.0772253498, output_fired_time: 0.0000000000, propagate_forward_time: 6.0906410217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2264838219
validation[          , genome  7078] predictions:    9713/  10000 (97.13%), best:    9753/10000 (97.53%), error:       926.78430, best error:       786.77490 on epoch:    41, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 80.3874130249s, input_fired_time: 1.6870154142, output_fired_time: 0.5828198195, propagate_forward_time: 25.3172359467, propagate_backward_time: 51.4051399231, weight_update_time: 0.1860971302, other_time: 1.3952064514
epoch time: 5.4063196182s, input_fired_time: 0.0782263502, output_fired_time: 0.0000000000, propagate_forward_time: 5.1045084000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2235846519
validation[          , genome  7078] predictions:    9732/  10000 (97.32%), best:    9753/10000 (97.53%), error:       854.27448, best error:       786.77490 on epoch:    41, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 79.9422912598s, input_fired_time: 2.6839318275, output_fired_time: 0.5737749338, propagate_forward_time: 26.0483455658, propagate_backward_time: 48.2468452454, weight_update_time: 0.1858512610, other_time: 2.3893928528
epoch time: 6.2305803299s, input_fired_time: 1.0784668922, output_fired_time: 0.0000000000, propagate_forward_time: 4.9342622757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2178511620
validation[          , genome  7078] predictions:    9741/  10000 (97.41%), best:    9753/10000 (97.53%), error:       835.55804, best error:       786.77490 on epoch:    41, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 80.9848937988s, input_fired_time: 0.6834178567, output_fired_time: 0.5734401941, propagate_forward_time: 28.3462829590, propagate_backward_time: 48.9780235291, weight_update_time: 0.1868007034, other_time: 2.4037284851
epoch time: 6.3858404160s, input_fired_time: 1.0801283121, output_fired_time: 0.0000000000, propagate_forward_time: 5.0830216408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2226905823
validation[          , genome  7078] predictions:    9719/  10000 (97.19%), best:    9753/10000 (97.53%), error:       968.08118, best error:       786.77490 on epoch:    41, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 81.2652893066s, input_fired_time: 0.6844033003, output_fired_time: 0.5858892202, propagate_forward_time: 26.3293323517, propagate_backward_time: 52.2786483765, weight_update_time: 0.1855039746, other_time: 1.3870162964
epoch time: 5.3106141090s, input_fired_time: 0.0766392723, output_fired_time: 0.0000000000, propagate_forward_time: 5.0108957291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2230792046
validation[          , genome  7078] predictions:    9700/  10000 (97.00%), best:    9753/10000 (97.53%), error:       918.57959, best error:       786.77490 on epoch:    41, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 82.2540435791s, input_fired_time: 0.6837106943, output_fired_time: 0.5778886676, propagate_forward_time: 28.4127826691, propagate_backward_time: 49.1864433289, weight_update_time: 0.1854537576, other_time: 3.3932228088
epoch time: 5.3092536926s, input_fired_time: 0.0770541355, output_fired_time: 0.0000000000, propagate_forward_time: 5.0115299225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2206697464
validation[          , genome  7078] predictions:    9727/  10000 (97.27%), best:    9753/10000 (97.53%), error:       894.58295, best error:       786.77490 on epoch:    41, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 82.0527114868s, input_fired_time: 0.6837508082, output_fired_time: 0.5782027245, propagate_forward_time: 25.3714656830, propagate_backward_time: 53.0218887329, weight_update_time: 0.1856651455, other_time: 2.3973999023
epoch time: 5.3471221924s, input_fired_time: 0.0780866519, output_fired_time: 0.0000000000, propagate_forward_time: 5.0459880829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2230472565
validation[          , genome  7078] predictions:    9705/  10000 (97.05%), best:    9753/10000 (97.53%), error:       927.82831, best error:       786.77490 on epoch:    41, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 82.1888580322s, input_fired_time: 1.6883145571, output_fired_time: 0.5759910345, propagate_forward_time: 27.3383674622, propagate_backward_time: 51.1919937134, weight_update_time: 0.1863385290, other_time: 1.3941917419
epoch time: 5.2848362923s, input_fired_time: 0.0767810494, output_fired_time: 0.0000000000, propagate_forward_time: 4.9850211143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2230339050
validation[          , genome  7078] predictions:    9724/  10000 (97.24%), best:    9753/10000 (97.53%), error:       888.61334, best error:       786.77490 on epoch:    41, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 82.1790161133s, input_fired_time: 1.6882325411, output_fired_time: 0.5780782700, propagate_forward_time: 25.3258037567, propagate_backward_time: 53.1996269226, weight_update_time: 0.1855708808, other_time: 1.3872718811
epoch time: 5.3855919838s, input_fired_time: 0.0779015794, output_fired_time: 0.0000000000, propagate_forward_time: 5.0792827606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2284078598
validation[          , genome  7078] predictions:    9732/  10000 (97.32%), best:    9753/10000 (97.53%), error:       952.75562, best error:       786.77490 on epoch:    41, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 80.9827423096s, input_fired_time: 0.6828277707, output_fired_time: 0.5752043724, propagate_forward_time: 27.1798458099, propagate_backward_time: 51.1604537964, weight_update_time: 0.1849714667, other_time: 1.3844070435
epoch time: 6.2432184219s, input_fired_time: 0.0768919066, output_fired_time: 0.0000000000, propagate_forward_time: 5.9451665878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2211599350
validation[          , genome  7078] predictions:    9731/  10000 (97.31%), best:    9753/10000 (97.53%), error:       898.88519, best error:       786.77490 on epoch:    41, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 80.9747543335s, input_fired_time: 0.6837434769, output_fired_time: 0.5764741302, propagate_forward_time: 29.2243003845, propagate_backward_time: 49.1002426147, weight_update_time: 0.1852632910, other_time: 1.3899879456
epoch time: 6.4584703445s, input_fired_time: 0.0786515325, output_fired_time: 0.0000000000, propagate_forward_time: 6.1554479599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2243709564
validation[          , genome  7078] predictions:    9755/  10000 (97.55%), best:    9753/10000 (97.53%), error:       802.42126, best error:       786.77490 on epoch:    41, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 81.2152633667s, input_fired_time: 0.6846418381, output_fired_time: 0.5844070315, propagate_forward_time: 26.4146900177, propagate_backward_time: 52.1416091919, weight_update_time: 0.1849291325, other_time: 1.3899230957
epoch time: 6.3491892815s, input_fired_time: 0.0776561275, output_fired_time: 0.0000000000, propagate_forward_time: 6.0478162766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2237167358
validation[          , genome  7078] predictions:    9721/  10000 (97.21%), best:    9753/10000 (97.53%), error:       927.43707, best error:       786.77490 on epoch:    41, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 81.1684188843s, input_fired_time: 0.6861484051, output_fired_time: 0.5768063068, propagate_forward_time: 26.3071765900, propagate_backward_time: 52.2059745789, weight_update_time: 0.1867909133, other_time: 1.3923149109
epoch time: 5.3772892952s, input_fired_time: 0.0789803341, output_fired_time: 0.0000000000, propagate_forward_time: 5.0773200989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2209887505
validation[          , genome  7078] predictions:    9644/  10000 (96.44%), best:    9753/10000 (97.53%), error:      1119.04517, best error:       786.77490 on epoch:    41, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 81.2067642212s, input_fired_time: 1.6901274920, output_fired_time: 0.5781123042, propagate_forward_time: 29.3322429657, propagate_backward_time: 48.2250976563, weight_update_time: 0.1853882670, other_time: 1.3811874390
epoch time: 5.2528624535s, input_fired_time: 0.0774244294, output_fired_time: 0.0000000000, propagate_forward_time: 4.9520263672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2234115601
validation[          , genome  7078] predictions:    9736/  10000 (97.36%), best:    9753/10000 (97.53%), error:       834.58539, best error:       786.77490 on epoch:    41, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 82.4558029175s, input_fired_time: 1.6910738945, output_fired_time: 0.5784898996, propagate_forward_time: 26.5430622101, propagate_backward_time: 52.2481079102, weight_update_time: 0.1860052496, other_time: 1.3950729370
epoch time: 5.3425483704s, input_fired_time: 0.0795275643, output_fired_time: 0.0000000000, propagate_forward_time: 5.0384407043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2245802879
validation[          , genome  7078] predictions:    9683/  10000 (96.83%), best:    9753/10000 (97.53%), error:      1033.80481, best error:       786.77490 on epoch:    41, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 81.9998931885s, input_fired_time: 0.6869615912, output_fired_time: 1.4831247330, propagate_forward_time: 26.3204631805, propagate_backward_time: 51.1238555908, weight_update_time: 0.1847612709, other_time: 2.3854904175
epoch time: 5.2967057228s, input_fired_time: 0.0776211247, output_fired_time: 0.0000000000, propagate_forward_time: 4.9962220192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2228627205
validation[          , genome  7078] predictions:    9721/  10000 (97.21%), best:    9753/10000 (97.53%), error:       880.43854, best error:       786.77490 on epoch:    41, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 82.1777038574s, input_fired_time: 0.6886971593, output_fired_time: 1.5764257908, propagate_forward_time: 24.4038200378, propagate_backward_time: 52.0986976624, weight_update_time: 0.1866753995, other_time: 3.4100646973
epoch time: 5.3591542244s, input_fired_time: 0.0789255872, output_fired_time: 0.0000000000, propagate_forward_time: 5.0585169792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2217116356
validation[          , genome  7078] predictions:    9681/  10000 (96.81%), best:    9753/10000 (97.53%), error:      1033.02026, best error:       786.77490 on epoch:    41, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 82.3913879395s, input_fired_time: 0.6869063377, output_fired_time: 0.5842295289, propagate_forward_time: 28.4197826385, propagate_backward_time: 51.3086204529, weight_update_time: 0.1862644702, other_time: 1.3918495178
epoch time: 5.1922650337s, input_fired_time: 0.0766770616, output_fired_time: 0.0000000000, propagate_forward_time: 4.8977894783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2177987099
validation[          , genome  7078] predictions:    9677/  10000 (96.77%), best:    9753/10000 (97.53%), error:      1036.24524, best error:       786.77490 on epoch:    41, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 81.2225570679s, input_fired_time: 0.6878575087, output_fired_time: 0.5825595260, propagate_forward_time: 24.3384284973, propagate_backward_time: 52.2183952332, weight_update_time: 0.1855841130, other_time: 3.3953170776
epoch time: 6.3283896446s, input_fired_time: 0.0783737451, output_fired_time: 0.0000000000, propagate_forward_time: 6.0275053978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2225103378
validation[          , genome  7078] predictions:    9749/  10000 (97.49%), best:    9753/10000 (97.53%), error:       791.28448, best error:       786.77490 on epoch:    41, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 81.1148223877s, input_fired_time: 0.6862246990, output_fired_time: 0.5826537609, propagate_forward_time: 28.2253818512, propagate_backward_time: 50.2367591858, weight_update_time: 0.1850206703, other_time: 1.3838005066
epoch time: 6.2729177475s, input_fired_time: 0.0772168785, output_fired_time: 0.0000000000, propagate_forward_time: 5.9752602577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2204403877
validation[          , genome  7078] predictions:    9740/  10000 (97.40%), best:    9753/10000 (97.53%), error:       817.12421, best error:       786.77490 on epoch:    41, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 81.1808013916s, input_fired_time: 1.6894036531, output_fired_time: 0.5741420984, propagate_forward_time: 26.3992843628, propagate_backward_time: 51.1288719177, weight_update_time: 0.1857101768, other_time: 1.3890953064
epoch time: 6.3959760666s, input_fired_time: 0.0787741467, output_fired_time: 0.0000000000, propagate_forward_time: 6.0899834633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2272186279
validation[          , genome  7078] predictions:    9729/  10000 (97.29%), best:    9753/10000 (97.53%), error:       868.44342, best error:       786.77490 on epoch:    41, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 81.2269134521s, input_fired_time: 0.6869935989, output_fired_time: 0.5809034705, propagate_forward_time: 28.2688522339, propagate_backward_time: 49.3002204895, weight_update_time: 0.1850674897, other_time: 2.3899421692
epoch time: 6.2185192108s, input_fired_time: 0.0766180083, output_fired_time: 0.0000000000, propagate_forward_time: 5.9222059250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2196950912
validation[          , genome  7078] predictions:    9738/  10000 (97.38%), best:    9753/10000 (97.53%), error:       855.53656, best error:       786.77490 on epoch:    41, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 81.4948196411s, input_fired_time: 0.6896916628, output_fired_time: 0.5768911839, propagate_forward_time: 28.4283046722, propagate_backward_time: 50.4064331055, weight_update_time: 0.1862232089, other_time: 1.3935012817
epoch time: 6.3785552979s, input_fired_time: 0.0786080435, output_fired_time: 0.0000000000, propagate_forward_time: 5.0726256371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2273216248
validation[          , genome  7078] predictions:    9740/  10000 (97.40%), best:    9753/10000 (97.53%), error:       886.95013, best error:       786.77490 on epoch:    41, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 81.2523498535s, input_fired_time: 0.6893944144, output_fired_time: 1.5778774023, propagate_forward_time: 26.3811206818, propagate_backward_time: 51.2109947205, weight_update_time: 0.1856320947, other_time: 1.3929634094
epoch time: 5.2502846718s, input_fired_time: 0.0783186257, output_fired_time: 0.0000000000, propagate_forward_time: 4.9487080574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2232580185
validation[          , genome  7078] predictions:    9754/  10000 (97.54%), best:    9754/10000 (97.54%), error:       783.79303, best error:       783.79303 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 81.0489349365s, input_fired_time: 0.6850690246, output_fired_time: 0.5741922855, propagate_forward_time: 27.1527652740, propagate_backward_time: 50.2524566650, weight_update_time: 0.1850602329, other_time: 2.3844528198
epoch time: 5.3278284073s, input_fired_time: 0.0787069723, output_fired_time: 0.0000000000, propagate_forward_time: 5.0256695747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2234520912
validation[          , genome  7078] predictions:    9702/  10000 (97.02%), best:    9754/10000 (97.54%), error:       901.95636, best error:       783.79303 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 82.0202789307s, input_fired_time: 0.6873591542, output_fired_time: 1.5758258104, propagate_forward_time: 29.2242164612, propagate_backward_time: 49.1370239258, weight_update_time: 0.1863870472, other_time: 1.3958473206
epoch time: 5.0316314697s, input_fired_time: 0.0769576281, output_fired_time: 0.0000000000, propagate_forward_time: 4.7364468575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2182269096
validation[          , genome  7078] predictions:    9741/  10000 (97.41%), best:    9754/10000 (97.54%), error:       816.69177, best error:       783.79303 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 82.5727157593s, input_fired_time: 1.6944969893, output_fired_time: 0.5842498541, propagate_forward_time: 26.4545383453, propagate_backward_time: 52.4469566345, weight_update_time: 0.1859799773, other_time: 1.3924751282
epoch time: 5.3126735687s, input_fired_time: 0.0794036686, output_fired_time: 0.0000000000, propagate_forward_time: 5.0114970207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2217726707
validation[          , genome  7078] predictions:    9736/  10000 (97.36%), best:    9754/10000 (97.54%), error:       884.89673, best error:       783.79303 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 80.9657058716s, input_fired_time: 0.6870627999, output_fired_time: 0.5730872154, propagate_forward_time: 33.1619033813, propagate_backward_time: 45.1739120483, weight_update_time: 0.1839816272, other_time: 1.3697357178
epoch time: 5.3044409752s, input_fired_time: 0.0786525235, output_fired_time: 0.0000000000, propagate_forward_time: 5.0062179565, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2195706367
validation[          , genome  7078] predictions:    9694/  10000 (96.94%), best:    9754/10000 (97.54%), error:      1010.62787, best error:       783.79303 on epoch:    77, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 80.0953140259s, input_fired_time: 0.6883582473, output_fired_time: 0.5701912045, propagate_forward_time: 27.1692142487, propagate_backward_time: 50.2815704346, weight_update_time: 0.1849485338, other_time: 1.3859863281
epoch time: 5.2319493294s, input_fired_time: 0.0778213963, output_fired_time: 0.0000000000, propagate_forward_time: 4.9328675270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2212605476
validation[          , genome  7078] predictions:    9761/  10000 (97.61%), best:    9754/10000 (97.54%), error:       792.17755, best error:       783.79303 on epoch:    77, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 81.1706161499s, input_fired_time: 1.6901782751, output_fired_time: 0.5697734952, propagate_forward_time: 25.1266460419, propagate_backward_time: 52.3988037109, weight_update_time: 0.1853145659, other_time: 1.3852157593
epoch time: 5.3754386902s, input_fired_time: 0.0798834637, output_fired_time: 0.0000000000, propagate_forward_time: 5.0695185661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2260365486
validation[          , genome  7078] predictions:    9729/  10000 (97.29%), best:    9754/10000 (97.54%), error:       913.69415, best error:       783.79303 on epoch:    77, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 80.1518173218s, input_fired_time: 0.6901569963, output_fired_time: 0.5757378340, propagate_forward_time: 23.1313228607, propagate_backward_time: 53.3751487732, weight_update_time: 0.1845615953, other_time: 2.3794517517
epoch time: 5.7587003708s, input_fired_time: 0.0784029067, output_fired_time: 0.0000000000, propagate_forward_time: 5.4568743706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2234230042
validation[          , genome  7078] predictions:    9727/  10000 (97.27%), best:    9754/10000 (97.54%), error:       923.19769, best error:       783.79303 on epoch:    77, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 80.8631439209s, input_fired_time: 0.6891741157, output_fired_time: 0.5806142092, propagate_forward_time: 29.2255897522, propagate_backward_time: 48.9720764160, weight_update_time: 0.1865078509, other_time: 1.3956947327
epoch time: 5.3249225616s, input_fired_time: 0.0792953447, output_fired_time: 0.0000000000, propagate_forward_time: 4.0194988251, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2261285782
validation[          , genome  7078] predictions:    9703/  10000 (97.03%), best:    9754/10000 (97.54%), error:       908.25458, best error:       783.79303 on epoch:    77, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 81.8777618408s, input_fired_time: 0.6927922368, output_fired_time: 1.5762057304, propagate_forward_time: 29.2899513245, propagate_backward_time: 46.9252929688, weight_update_time: 0.1854195446, other_time: 3.3935203552
epoch time: 5.4020781517s, input_fired_time: 0.0788048133, output_fired_time: 0.0000000000, propagate_forward_time: 5.0973482132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2259249687
validation[          , genome  7078] predictions:    9701/  10000 (97.01%), best:    9754/10000 (97.54%), error:       917.38507, best error:       783.79303 on epoch:    77, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 80.7998580933s, input_fired_time: 0.6898716092, output_fired_time: 0.5729767084, propagate_forward_time: 23.1151123047, propagate_backward_time: 54.0164604187, weight_update_time: 1.1891206503, other_time: 2.4054374695
epoch time: 6.2559933662s, input_fired_time: 0.0778433606, output_fired_time: 0.0000000000, propagate_forward_time: 5.9552698135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2228803635
validation[          , genome  7078] predictions:    9767/  10000 (97.67%), best:    9767/10000 (97.67%), error:       775.95825, best error:       775.95825 on epoch:    87, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 81.2278137207s, input_fired_time: 0.6923165321, output_fired_time: 1.5778757334, propagate_forward_time: 26.2659320831, propagate_backward_time: 51.2959175110, weight_update_time: 0.1866513193, other_time: 1.3957786560
epoch time: 6.2468614578s, input_fired_time: 0.0782360509, output_fired_time: 0.0000000000, propagate_forward_time: 5.9528994560, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2157258987
validation[          , genome  7078] predictions:    9575/  10000 (95.75%), best:    9767/10000 (97.67%), error:      1310.37439, best error:       775.95825 on epoch:    87, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 81.3213424683s, input_fired_time: 0.6950226426, output_fired_time: 0.5765057206, propagate_forward_time: 35.3107948303, propagate_backward_time: 43.3419685364, weight_update_time: 0.1860601753, other_time: 1.3970489502
epoch time: 6.2251386642s, input_fired_time: 0.0786111355, output_fired_time: 0.0000000000, propagate_forward_time: 5.9304842949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2160429955
validation[          , genome  7078] predictions:    9741/  10000 (97.41%), best:    9767/10000 (97.67%), error:       804.56250, best error:       775.95825 on epoch:    87, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 81.4090042114s, input_fired_time: 0.6936203837, output_fired_time: 2.5897598267, propagate_forward_time: 28.3369960785, propagate_backward_time: 47.3956527710, weight_update_time: 0.1859369278, other_time: 2.3929748535
epoch time: 5.3287458420s, input_fired_time: 0.0791139230, output_fired_time: 0.0000000000, propagate_forward_time: 5.0251970291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2244348526
validation[          , genome  7078] predictions:    9728/  10000 (97.28%), best:    9767/10000 (97.67%), error:       888.18408, best error:       775.95825 on epoch:    87, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 81.1829147339s, input_fired_time: 2.6970593929, output_fired_time: 0.5762890577, propagate_forward_time: 30.2300872803, propagate_backward_time: 46.2845420837, weight_update_time: 0.1865194589, other_time: 1.3949394226
epoch time: 5.2903971672s, input_fired_time: 0.0784100592, output_fired_time: 0.0000000000, propagate_forward_time: 4.9900074005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2219796181
validation[          , genome  7078] predictions:    9692/  10000 (96.92%), best:    9767/10000 (97.67%), error:      1005.50311, best error:       775.95825 on epoch:    87, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 82.1880035400s, input_fired_time: 0.6907075047, output_fired_time: 0.5688890815, propagate_forward_time: 30.2600784302, propagate_backward_time: 49.2771759033, weight_update_time: 0.1862381548, other_time: 1.3911590576
epoch time: 5.1687397957s, input_fired_time: 0.0786366686, output_fired_time: 0.0000000000, propagate_forward_time: 4.8751850128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2149181366
validation[          , genome  7078] predictions:    9657/  10000 (96.57%), best:    9767/10000 (97.67%), error:      1069.34375, best error:       775.95825 on epoch:    87, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 82.1548004150s, input_fired_time: 1.6931083202, output_fired_time: 0.5724425316, propagate_forward_time: 25.2579383850, propagate_backward_time: 52.2316856384, weight_update_time: 0.1861540973, other_time: 2.3996276855
epoch time: 5.3027529716s, input_fired_time: 0.0781614706, output_fired_time: 0.0000000000, propagate_forward_time: 5.0021886826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2224030495
validation[          , genome  7078] predictions:    9735/  10000 (97.35%), best:    9767/10000 (97.67%), error:       903.29889, best error:       775.95825 on epoch:    87, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 82.2651672363s, input_fired_time: 1.6949217319, output_fired_time: 0.5763964057, propagate_forward_time: 29.2999305725, propagate_backward_time: 48.2971725464, weight_update_time: 0.1860029250, other_time: 2.3967475891
epoch time: 5.2873625755s, input_fired_time: 0.0788578987, output_fired_time: 0.0000000000, propagate_forward_time: 4.9836173058, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2248873711
validation[          , genome  7078] predictions:    9700/  10000 (97.00%), best:    9767/10000 (97.67%), error:       929.67480, best error:       775.95825 on epoch:    87, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 82.3802871704s, input_fired_time: 0.6930001378, output_fired_time: 0.5801644921, propagate_forward_time: 28.2846965790, propagate_backward_time: 51.4263572693, weight_update_time: 0.1854478121, other_time: 1.3960685730
epoch time: 5.3942618370s, input_fired_time: 0.0807592571, output_fired_time: 0.0000000000, propagate_forward_time: 5.0878434181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2256593704
validation[          , genome  7078] predictions:    9711/  10000 (97.11%), best:    9767/10000 (97.67%), error:       881.84442, best error:       775.95825 on epoch:    87, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 82.7315063477s, input_fired_time: 0.6975122094, output_fired_time: 0.5817986727, propagate_forward_time: 27.5794792175, propagate_backward_time: 52.4704399109, weight_update_time: 0.1862910092, other_time: 1.4022750854
epoch time: 5.3382482529s, input_fired_time: 0.0790193975, output_fired_time: 0.0000000000, propagate_forward_time: 5.0366487503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2225799561
validation[          , genome  7078] predictions:    9692/  10000 (96.92%), best:    9767/10000 (97.67%), error:      1028.81836, best error:       775.95825 on epoch:    87, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 82.2455673218s, input_fired_time: 0.6939000487, output_fired_time: 0.5751632452, propagate_forward_time: 27.3841228485, propagate_backward_time: 52.1922988892, weight_update_time: 0.1871271580, other_time: 1.4000778198
epoch time: 5.3107290268s, input_fired_time: 0.0799935758, output_fired_time: 0.0000000000, propagate_forward_time: 5.0062699318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2244653702
validation[          , genome  7078] predictions:    9650/  10000 (96.50%), best:    9767/10000 (97.67%), error:      1136.05896, best error:       775.95825 on epoch:    87, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 81.2048950195s, input_fired_time: 0.6965595484, output_fired_time: 0.5733767748, propagate_forward_time: 27.3401451111, propagate_backward_time: 50.2073554993, weight_update_time: 0.1855739206, other_time: 2.3874588013
epoch time: 6.3066868782s, input_fired_time: 0.0787610486, output_fired_time: 0.0000000000, propagate_forward_time: 6.0100803375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2178454399
validation[          , genome  7078] predictions:    9742/  10000 (97.42%), best:    9767/10000 (97.67%), error:       849.58313, best error:       775.95825 on epoch:    87, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 81.2948150635s, input_fired_time: 0.6968627572, output_fired_time: 1.5766415596, propagate_forward_time: 30.4069328308, propagate_backward_time: 47.2212028503, weight_update_time: 0.1857584715, other_time: 1.3931732178
epoch time: 6.2856445313s, input_fired_time: 0.0792265907, output_fired_time: 0.0000000000, propagate_forward_time: 5.9876098633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2188081741
validation[          , genome  7078] predictions:    9691/  10000 (96.91%), best:    9767/10000 (97.67%), error:       995.42810, best error:       775.95825 on epoch:    87, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 81.4678192139s, input_fired_time: 0.6964104176, output_fired_time: 0.5802704096, propagate_forward_time: 31.4685916901, propagate_backward_time: 47.3234977722, weight_update_time: 0.1869854778, other_time: 1.3990516663
epoch time: 6.3852334023s, input_fired_time: 0.0789207965, output_fired_time: 0.0000000000, propagate_forward_time: 6.0822820663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2240304947
validation[          , genome  7078] predictions:    9756/  10000 (97.56%), best:    9767/10000 (97.67%), error:       793.63916, best error:       775.95825 on epoch:    87, 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: 28.7044239044s, input_fired_time: 0.3957838118, output_fired_time: 0.0000000000, propagate_forward_time: 27.1494655609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1591739655
best training[          , genome  7078] predictions:   49686/  50000 (99.37%), best:    9767/10000 (97.67%), error:      1424.24207, best error:       775.95825 on epoch:    87, 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: 6.3476963043s, input_fired_time: 0.0776729584, output_fired_time: 0.0000000000, propagate_forward_time: 6.0430130959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2270102501
   testing[          , genome  7078] predictions:    9777/  10000 (97.77%), best:    9767/10000 (97.67%), error:       750.34064, best error:       775.95825 on epoch:    87, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
16:02:11 (11468): called boinc_finish(0)

</stderr_txt>
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