Nameexact_genome_1518178202_53_18394_1
Workunit2992467
Created9 Feb 2018, 18:36:00 UTC
Sent9 Feb 2018, 18:53:04 UTC
Report deadline16 Mar 2018, 13:39:37 UTC
Received12 Feb 2018, 12:13:03 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID67154
Run time1 days 1 hours 23 min 1 sec
CPU time1 days 1 hours 21 min 32 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS2.89 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size176.68 MB
Peak swap size179.36 MB
Peak disk usage3.36 MB

Stderr output

<core_client_version>7.8.4</core_client_version>
<![CDATA[
<stderr_txt>
0000 (98.61%), best:    9876/10000 (98.76%), error:       452.47287, best error:       430.79047 on epoch:    21, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 838.7413330078s, input_fired_time: 10.4337558746, output_fired_time: 11.5118513107, propagate_forward_time: 305.4349975586, propagate_backward_time: 501.0644531250, weight_update_time: 1.3044686317, other_time: 10.2962646484
epoch time: 64.8112411499s, input_fired_time: 1.1208826303, output_fired_time: 0.0000000000, propagate_forward_time: 61.9911041260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6992530823
validation[          , genome 18394] predictions:    9870/  10000 (98.70%), best:    9870/10000 (98.70%), error:       420.07764, best error:       420.07764 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 840.7227172852s, input_fired_time: 10.4664506912, output_fired_time: 11.5309391022, propagate_forward_time: 306.1614685059, propagate_backward_time: 502.2526855469, weight_update_time: 1.3039478064, other_time: 10.3111572266
epoch time: 64.6385421753s, input_fired_time: 1.1172306538, output_fired_time: 0.0000000000, propagate_forward_time: 61.8242645264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6970481873
validation[          , genome 18394] predictions:    9879/  10000 (98.79%), best:    9879/10000 (98.79%), error:       396.50058, best error:       396.50058 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 837.9716186523s, input_fired_time: 10.4350690842, output_fired_time: 11.4939050674, propagate_forward_time: 305.2322692871, propagate_backward_time: 500.5074462891, weight_update_time: 1.3020054102, other_time: 10.3029479980
epoch time: 64.6931686401s, input_fired_time: 1.1256240606, output_fired_time: 0.0000000000, propagate_forward_time: 61.8608703613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7066726685
validation[          , genome 18394] predictions:    9854/  10000 (98.54%), best:    9879/10000 (98.79%), error:       480.93173, best error:       396.50058 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 839.1902465820s, input_fired_time: 10.4389877319, output_fired_time: 11.5192022324, propagate_forward_time: 305.7946472168, propagate_backward_time: 501.1462097168, weight_update_time: 1.3044750690, other_time: 10.2911987305
epoch time: 63.6030197144s, input_fired_time: 1.0962928534, output_fired_time: 0.0000000000, propagate_forward_time: 60.8133430481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6933822632
validation[          , genome 18394] predictions:    9861/  10000 (98.61%), best:    9879/10000 (98.79%), error:       429.31982, best error:       396.50058 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 838.0317993164s, input_fired_time: 10.4493494034, output_fired_time: 11.4682474136, propagate_forward_time: 305.7029113770, propagate_backward_time: 500.0931396484, weight_update_time: 1.2998641729, other_time: 10.3181457520
epoch time: 64.3066482544s, input_fired_time: 1.1134262085, output_fired_time: 0.0000000000, propagate_forward_time: 61.5004119873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6928100586
validation[          , genome 18394] predictions:    9861/  10000 (98.61%), best:    9879/10000 (98.79%), error:       443.51099, best error:       396.50058 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 837.1356201172s, input_fired_time: 10.4413328171, output_fired_time: 11.4467697144, propagate_forward_time: 305.1691284180, propagate_backward_time: 499.7601623535, weight_update_time: 1.3027751446, other_time: 10.3182067871
epoch time: 64.3062057495s, input_fired_time: 1.1109995842, output_fired_time: 0.0000000000, propagate_forward_time: 61.4932823181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7019233704
validation[          , genome 18394] predictions:    9851/  10000 (98.51%), best:    9879/10000 (98.79%), error:       484.40717, best error:       396.50058 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 838.8003540039s, input_fired_time: 10.4495763779, output_fired_time: 11.4840688705, propagate_forward_time: 305.6328735352, propagate_backward_time: 500.9725341797, weight_update_time: 1.3154759407, other_time: 10.2612915039
epoch time: 64.9147644043s, input_fired_time: 1.1224645376, output_fired_time: 0.0000000000, propagate_forward_time: 62.0927772522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6995239258
validation[          , genome 18394] predictions:    9881/  10000 (98.81%), best:    9879/10000 (98.79%), error:       402.35452, best error:       396.50058 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 839.8807373047s, input_fired_time: 10.4484634399, output_fired_time: 11.5081768036, propagate_forward_time: 306.1113281250, propagate_backward_time: 501.5401916504, weight_update_time: 1.3058893681, other_time: 10.2725524902
epoch time: 64.4445800781s, input_fired_time: 1.1181067228, output_fired_time: 0.0000000000, propagate_forward_time: 61.6179809570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7084922791
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9879/10000 (98.79%), error:       403.24945, best error:       396.50058 on epoch:    34, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 837.4552001953s, input_fired_time: 10.4304103851, output_fired_time: 11.4718465805, propagate_forward_time: 305.2205200195, propagate_backward_time: 500.0946960449, weight_update_time: 1.3057436943, other_time: 10.2377014160
epoch time: 64.3011093140s, input_fired_time: 1.1161526442, output_fired_time: 0.0000000000, propagate_forward_time: 61.4959602356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6889953613
validation[          , genome 18394] predictions:    9857/  10000 (98.57%), best:    9879/10000 (98.79%), error:       467.51050, best error:       396.50058 on epoch:    34, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 833.0182495117s, input_fired_time: 10.4063196182, output_fired_time: 11.3986101151, propagate_forward_time: 303.5845642090, propagate_backward_time: 497.3594665527, weight_update_time: 1.3026244640, other_time: 10.2692871094
epoch time: 64.8449401855s, input_fired_time: 1.1224435568, output_fired_time: 0.0000000000, propagate_forward_time: 62.0254974365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6969985962
validation[          , genome 18394] predictions:    9869/  10000 (98.69%), best:    9879/10000 (98.79%), error:       404.35394, best error:       396.50058 on epoch:    34, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 839.6197509766s, input_fired_time: 10.5209674835, output_fired_time: 11.4949445724, propagate_forward_time: 305.5144958496, propagate_backward_time: 501.7792663574, weight_update_time: 1.2997696400, other_time: 10.3100891113
epoch time: 64.4447555542s, input_fired_time: 1.1271551847, output_fired_time: 0.0000000000, propagate_forward_time: 61.6165008545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7010993958
validation[          , genome 18394] predictions:    9868/  10000 (98.68%), best:    9879/10000 (98.79%), error:       428.86664, best error:       396.50058 on epoch:    34, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 840.3811035156s, input_fired_time: 10.4874448776, output_fired_time: 11.5075168610, propagate_forward_time: 306.0144958496, propagate_backward_time: 502.1126098633, weight_update_time: 1.3030796051, other_time: 10.2590942383
epoch time: 64.2145309448s, input_fired_time: 1.1246240139, output_fired_time: 0.0000000000, propagate_forward_time: 61.3973312378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6925773621
validation[          , genome 18394] predictions:    9866/  10000 (98.66%), best:    9879/10000 (98.79%), error:       451.65207, best error:       396.50058 on epoch:    34, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394_1_r1884490421_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: 0.941274
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.001243
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.97201e-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: 45
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 9879
read best_validation_error: 396.501
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: 18394
read normal distribution: '0 0.591132342815399 -1.61509299278259'
generator_str: '1988524459'
read generator: 1988524459
read generated_by_map:
1 split_edge 1
reading 115 nodes.
reading 359 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!
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394_1_r1884490421_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: 0.941274
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.001243
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.97201e-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: 45
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 9879
read best_validation_error: 396.501
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: 18394
read normal distribution: '0 0.591132342815399 -1.61509299278259'
generator_str: '1988524459'
read generator: 1988524459
read generated_by_map:
1 split_edge 1
reading 115 nodes.
reading 359 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!
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_53_18394_1_r1884490421_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: 0.941274
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.001243
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.97201e-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: 45
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 9879
read best_validation_error: 396.501
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: 18394
read normal distribution: '0 0.591132342815399 -1.61509299278259'
generator_str: '1988524459'
read generator: 1988524459
read generated_by_map:
1 split_edge 1
reading 115 nodes.
reading 359 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: 842.049133300781s, input_fired_time: 10.6471509933472, output_fired_time: 11.5667238235474, propagate_forward_time: 306.323272705078, propagate_backward_time: 502.792907714844, weight_update_time: 1.30849385261536, other_time: 10.7190551757812
epoch time: 65.0706024169922s, input_fired_time: 1.13115704059601, output_fired_time: 0, propagate_forward_time: 62.2444038391113, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.69504165649414
validation[          , genome 18394] predictions:    9890/  10000 (98.90%), best:    9890/10000 (98.90%), error:       379.44669, best error:       379.44669 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 841.4137573242s, input_fired_time: 10.5115489960, output_fired_time: 11.5479364395, propagate_forward_time: 306.4748535156, propagate_backward_time: 502.5794067383, weight_update_time: 1.3034504652, other_time: 10.3000488281
epoch time: 63.7101211548s, input_fired_time: 1.1106091738, output_fired_time: 0.0000000000, propagate_forward_time: 60.9130439758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6864662170
validation[          , genome 18394] predictions:    9859/  10000 (98.59%), best:    9890/10000 (98.90%), error:       438.84158, best error:       379.44669 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 841.9261474609s, input_fired_time: 10.5262012482, output_fired_time: 11.5786457062, propagate_forward_time: 306.2684020996, propagate_backward_time: 503.2031250000, weight_update_time: 1.3067859411, other_time: 10.3497314453
epoch time: 65.1569976807s, input_fired_time: 1.1354727745, output_fired_time: 0.0000000000, propagate_forward_time: 62.3205108643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7010116577
validation[          , genome 18394] predictions:    9867/  10000 (98.67%), best:    9890/10000 (98.90%), error:       404.25220, best error:       379.44669 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 841.4298095703s, input_fired_time: 10.5242938995, output_fired_time: 11.5408248901, propagate_forward_time: 306.4971313477, propagate_backward_time: 502.5589599609, weight_update_time: 1.3035227060, other_time: 10.3085937500
epoch time: 64.7323226929s, input_fired_time: 1.1338615417, output_fired_time: 0.0000000000, propagate_forward_time: 61.9053001404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6931610107
validation[          , genome 18394] predictions:    9875/  10000 (98.75%), best:    9890/10000 (98.90%), error:       397.13000, best error:       379.44669 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 841.4113159180s, input_fired_time: 10.5276832581, output_fired_time: 11.5334424973, propagate_forward_time: 306.4083862305, propagate_backward_time: 502.6421203613, weight_update_time: 1.3026072979, other_time: 10.2996520996
epoch time: 64.7557067871s, input_fired_time: 1.1263930798, output_fired_time: 0.0000000000, propagate_forward_time: 61.9368667603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6924476624
validation[          , genome 18394] predictions:    9887/  10000 (98.87%), best:    9887/10000 (98.87%), error:       367.54013, best error:       367.54013 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 837.4053955078s, input_fired_time: 10.4882478714, output_fired_time: 11.4708471298, propagate_forward_time: 305.1209716797, propagate_backward_time: 500.0672302246, weight_update_time: 1.2981578112, other_time: 10.2581481934
epoch time: 64.1799316406s, input_fired_time: 1.1198906898, output_fired_time: 0.0000000000, propagate_forward_time: 61.3759536743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6840858459
validation[          , genome 18394] predictions:    9874/  10000 (98.74%), best:    9887/10000 (98.87%), error:       388.91235, best error:       367.54013 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 840.7341308594s, input_fired_time: 10.5187025070, output_fired_time: 11.5295124054, propagate_forward_time: 306.1533203125, propagate_backward_time: 502.2738952637, weight_update_time: 1.2986363173, other_time: 10.2586975098
epoch time: 64.8436737061s, input_fired_time: 1.1347876787, output_fired_time: 0.0000000000, propagate_forward_time: 62.0095214844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6993637085
validation[          , genome 18394] predictions:    9870/  10000 (98.70%), best:    9887/10000 (98.87%), error:       416.98260, best error:       367.54013 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 838.2928466797s, input_fired_time: 10.5061559677, output_fired_time: 11.4740657806, propagate_forward_time: 305.5928039551, propagate_backward_time: 500.4148254395, weight_update_time: 1.3015953302, other_time: 10.3049926758
epoch time: 64.8852615356s, input_fired_time: 1.1265054941, output_fired_time: 0.0000000000, propagate_forward_time: 62.0646209717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6941337585
validation[          , genome 18394] predictions:    9880/  10000 (98.80%), best:    9887/10000 (98.87%), error:       391.59531, best error:       367.54013 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 832.9830322266s, input_fired_time: 10.5083951950, output_fired_time: 11.4641733170, propagate_forward_time: 305.7833557129, propagate_backward_time: 494.9584045410, weight_update_time: 1.3016140461, other_time: 10.2686767578
epoch time: 62.7882423401s, input_fired_time: 1.1047574282, output_fired_time: 0.0000000000, propagate_forward_time: 59.9845733643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6989097595
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9887/10000 (98.87%), error:       370.07651, best error:       367.54013 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 833.0097045898s, input_fired_time: 10.4761610031, output_fired_time: 11.3784589767, propagate_forward_time: 302.8848876953, propagate_backward_time: 497.9438171387, weight_update_time: 1.2949329615, other_time: 10.3263854980
epoch time: 64.6987838745s, input_fired_time: 1.1399360895, output_fired_time: 0.0000000000, propagate_forward_time: 61.8497276306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7091217041
validation[          , genome 18394] predictions:    9871/  10000 (98.71%), best:    9887/10000 (98.87%), error:       436.00330, best error:       367.54013 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 838.2221679688s, input_fired_time: 10.5047454834, output_fired_time: 11.5166769028, propagate_forward_time: 304.7422180176, propagate_backward_time: 501.1009826660, weight_update_time: 1.3089425564, other_time: 10.3575439453
epoch time: 64.7424011230s, input_fired_time: 1.1341422796, output_fired_time: 0.0000000000, propagate_forward_time: 61.9051933289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7030639648
validation[          , genome 18394] predictions:    9884/  10000 (98.84%), best:    9887/10000 (98.87%), error:       380.66205, best error:       367.54013 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 840.7529296875s, input_fired_time: 10.5297012329, output_fired_time: 11.5039424896, propagate_forward_time: 306.2699890137, propagate_backward_time: 502.1248779297, weight_update_time: 1.3004066944, other_time: 10.3243408203
epoch time: 64.8139877319s, input_fired_time: 1.1301952600, output_fired_time: 0.0000000000, propagate_forward_time: 61.9825973511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7011947632
validation[          , genome 18394] predictions:    9889/  10000 (98.89%), best:    9887/10000 (98.87%), error:       393.31784, best error:       367.54013 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 839.0158081055s, input_fired_time: 10.6285171509, output_fired_time: 11.5153589249, propagate_forward_time: 304.9112854004, propagate_backward_time: 501.0397949219, weight_update_time: 1.3039368391, other_time: 10.9208068848
epoch time: 64.6305694580s, input_fired_time: 1.1315959692, output_fired_time: 0.0000000000, propagate_forward_time: 61.7902297974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7087440491
validation[          , genome 18394] predictions:    9891/  10000 (98.91%), best:    9887/10000 (98.87%), error:       369.14008, best error:       367.54013 on epoch:    49, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 837.2463989258s, input_fired_time: 10.5109949112, output_fired_time: 11.4712066650, propagate_forward_time: 304.3955383301, propagate_backward_time: 500.5684814453, weight_update_time: 1.2941799164, other_time: 10.3002014160
epoch time: 64.7863693237s, input_fired_time: 1.1326065063, output_fired_time: 0.0000000000, propagate_forward_time: 61.9566612244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6971015930
validation[          , genome 18394] predictions:    9881/  10000 (98.81%), best:    9887/10000 (98.87%), error:       398.62311, best error:       367.54013 on epoch:    49, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 838.1091918945s, input_fired_time: 10.5123739243, output_fired_time: 11.4996318817, propagate_forward_time: 304.9004821777, propagate_backward_time: 500.9234008789, weight_update_time: 1.2970392704, other_time: 10.2732849121
epoch time: 64.7185592651s, input_fired_time: 1.1340271235, output_fired_time: 0.0000000000, propagate_forward_time: 61.8769683838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7075653076
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9887/10000 (98.87%), error:       377.25577, best error:       367.54013 on epoch:    49, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 834.4085693359s, input_fired_time: 10.4876270294, output_fired_time: 11.4181537628, propagate_forward_time: 303.9774169922, propagate_backward_time: 498.2129821777, weight_update_time: 1.3012862206, other_time: 10.3124084473
epoch time: 64.2805023193s, input_fired_time: 1.1298227310, output_fired_time: 0.0000000000, propagate_forward_time: 61.4460334778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7046470642
validation[          , genome 18394] predictions:    9897/  10000 (98.97%), best:    9897/10000 (98.97%), error:       365.55225, best error:       365.55225 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 831.7802124023s, input_fired_time: 10.4660053253, output_fired_time: 11.4131088257, propagate_forward_time: 303.5122070312, propagate_backward_time: 495.9953308105, weight_update_time: 1.3229823112, other_time: 10.3935852051
epoch time: 64.6626129150s, input_fired_time: 1.1353770494, output_fired_time: 0.0000000000, propagate_forward_time: 61.8360404968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6911964417
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       364.27969, best error:       364.27969 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 832.6534423828s, input_fired_time: 10.4405059814, output_fired_time: 11.4252681732, propagate_forward_time: 303.6332397461, propagate_backward_time: 496.8386535645, weight_update_time: 1.2987149954, other_time: 10.3157653809
epoch time: 64.1854248047s, input_fired_time: 1.1301188469, output_fired_time: 0.0000000000, propagate_forward_time: 61.3239898682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7313156128
validation[          , genome 18394] predictions:    9889/  10000 (98.89%), best:    9892/10000 (98.92%), error:       384.99149, best error:       364.27969 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 832.1104736328s, input_fired_time: 10.4596319199, output_fired_time: 11.3858718872, propagate_forward_time: 303.4737854004, propagate_backward_time: 496.4472045898, weight_update_time: 1.2948111296, other_time: 10.3439636230
epoch time: 64.6518402100s, input_fired_time: 1.1372171640, output_fired_time: 0.0000000000, propagate_forward_time: 61.8180274963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6965942383
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       366.51419, best error:       364.27969 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 831.5350341797s, input_fired_time: 10.4564580917, output_fired_time: 11.3759555817, propagate_forward_time: 303.1670837402, propagate_backward_time: 496.1510925293, weight_update_time: 1.2947303057, other_time: 10.3843994141
epoch time: 64.1887969971s, input_fired_time: 1.1340819597, output_fired_time: 0.0000000000, propagate_forward_time: 61.3426322937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7120819092
validation[          , genome 18394] predictions:    9877/  10000 (98.77%), best:    9892/10000 (98.92%), error:       388.85812, best error:       364.27969 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 833.8141479492s, input_fired_time: 10.4881219864, output_fired_time: 11.4148559570, propagate_forward_time: 303.9183959961, propagate_backward_time: 497.6215820312, weight_update_time: 1.2964004278, other_time: 10.3712158203
epoch time: 64.6099090576s, input_fired_time: 1.1393133402, output_fired_time: 0.0000000000, propagate_forward_time: 61.7576408386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7129554749
validation[          , genome 18394] predictions:    9894/  10000 (98.94%), best:    9892/10000 (98.92%), error:       367.77905, best error:       364.27969 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 833.1500244141s, input_fired_time: 10.4897737503, output_fired_time: 11.3858127594, propagate_forward_time: 303.7564086914, propagate_backward_time: 497.2134094238, weight_update_time: 1.2924042940, other_time: 10.3046569824
epoch time: 64.6460037231s, input_fired_time: 1.1369626522, output_fired_time: 0.0000000000, propagate_forward_time: 61.8123283386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6967124939
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       379.22952, best error:       364.27969 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 835.2868652344s, input_fired_time: 10.5825996399, output_fired_time: 11.4441881180, propagate_forward_time: 304.5325622559, propagate_backward_time: 498.3390197754, weight_update_time: 1.2967791557, other_time: 10.3884887695
epoch time: 64.1433715820s, input_fired_time: 1.1313788891, output_fired_time: 0.0000000000, propagate_forward_time: 61.2974319458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7145614624
validation[          , genome 18394] predictions:    9884/  10000 (98.84%), best:    9892/10000 (98.92%), error:       387.86456, best error:       364.27969 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 835.8057250977s, input_fired_time: 10.5081539154, output_fired_time: 11.4275398254, propagate_forward_time: 304.5221557617, propagate_backward_time: 499.0029907227, weight_update_time: 1.2940331697, other_time: 10.3448486328
epoch time: 63.0726013184s, input_fired_time: 1.1125824451, output_fired_time: 0.0000000000, propagate_forward_time: 60.2745552063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6854629517
validation[          , genome 18394] predictions:    9889/  10000 (98.89%), best:    9892/10000 (98.92%), error:       389.90994, best error:       364.27969 on epoch:    61, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 834.1577758789s, input_fired_time: 10.4879131317, output_fired_time: 11.3876590729, propagate_forward_time: 304.5509643555, propagate_backward_time: 497.3790893555, weight_update_time: 1.2981133461, other_time: 10.3521728516
epoch time: 64.5196456909s, input_fired_time: 1.1339491606, output_fired_time: 0.0000000000, propagate_forward_time: 61.6820907593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7036056519
validation[          , genome 18394] predictions:    9888/  10000 (98.88%), best:    9892/10000 (98.92%), error:       365.03604, best error:       364.27969 on epoch:    61, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 832.7908935547s, input_fired_time: 10.4796295166, output_fired_time: 11.3826789856, propagate_forward_time: 303.7773437500, propagate_backward_time: 496.7859497070, weight_update_time: 1.2936648130, other_time: 10.3652954102
epoch time: 63.7922515869s, input_fired_time: 1.1322202682, output_fired_time: 0.0000000000, propagate_forward_time: 60.9441032410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7159271240
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       360.63284, best error:       360.63284 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 828.8554077148s, input_fired_time: 10.4621028900, output_fired_time: 11.3435325623, propagate_forward_time: 302.2007751465, propagate_backward_time: 494.4813842773, weight_update_time: 1.2912242413, other_time: 10.3676452637
epoch time: 64.2125701904s, input_fired_time: 1.1348571777, output_fired_time: 0.0000000000, propagate_forward_time: 61.3541679382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7235450745
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       387.04068, best error:       360.63284 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 837.2625122070s, input_fired_time: 10.6018152237, output_fired_time: 11.5025720596, propagate_forward_time: 305.0186462402, propagate_backward_time: 499.5030212402, weight_update_time: 1.3015090227, other_time: 10.6364746094
epoch time: 65.0799026489s, input_fired_time: 1.1468956470, output_fired_time: 0.0000000000, propagate_forward_time: 62.2276420593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7053642273
validation[          , genome 18394] predictions:    9877/  10000 (98.77%), best:    9892/10000 (98.92%), error:       434.01648, best error:       360.63284 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 838.3582763672s, input_fired_time: 10.5425109863, output_fired_time: 11.4938144684, propagate_forward_time: 305.3949584961, propagate_backward_time: 500.6192932129, weight_update_time: 1.2996873856, other_time: 10.3077087402
epoch time: 64.8123016357s, input_fired_time: 1.1436264515, output_fired_time: 0.0000000000, propagate_forward_time: 61.9591903687, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7094841003
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       361.65698, best error:       360.63284 on epoch:    70, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 838.9698486328s, input_fired_time: 10.5456190109, output_fired_time: 11.5007209778, propagate_forward_time: 305.5595397949, propagate_backward_time: 501.0593872070, weight_update_time: 1.2997386456, other_time: 10.3045959473
epoch time: 64.8205795288s, input_fired_time: 1.1394455433, output_fired_time: 0.0000000000, propagate_forward_time: 61.9859542847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6951789856
validation[          , genome 18394] predictions:    9894/  10000 (98.94%), best:    9892/10000 (98.92%), error:       386.38007, best error:       360.63284 on epoch:    70, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 838.2788085938s, input_fired_time: 10.5234346390, output_fired_time: 11.4987478256, propagate_forward_time: 305.3522033691, propagate_backward_time: 500.6817932129, weight_update_time: 1.3012965918, other_time: 10.2226562500
epoch time: 64.4966201782s, input_fired_time: 1.1338982582, output_fired_time: 0.0000000000, propagate_forward_time: 61.6814422607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6812782288
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       363.09399, best error:       360.63284 on epoch:    70, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 833.3238525391s, input_fired_time: 10.5127182007, output_fired_time: 11.4121398926, propagate_forward_time: 303.7983093262, propagate_backward_time: 497.0485229492, weight_update_time: 1.3017647266, other_time: 10.5522155762
epoch time: 64.6450500488s, input_fired_time: 1.1381145716, output_fired_time: 0.0000000000, propagate_forward_time: 61.7999649048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7069702148
validation[          , genome 18394] predictions:    9889/  10000 (98.89%), best:    9892/10000 (98.92%), error:       365.58157, best error:       360.63284 on epoch:    70, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 838.0778198242s, input_fired_time: 10.5427207947, output_fired_time: 11.4536857605, propagate_forward_time: 305.6602172852, propagate_backward_time: 500.1536560059, weight_update_time: 1.2966555357, other_time: 10.2675476074
epoch time: 64.5635147095s, input_fired_time: 1.1378310919, output_fired_time: 0.0000000000, propagate_forward_time: 61.7162437439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7094383240
validation[          , genome 18394] predictions:    9877/  10000 (98.77%), best:    9892/10000 (98.92%), error:       404.05991, best error:       360.63284 on epoch:    70, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 836.2203369141s, input_fired_time: 10.5795221329, output_fired_time: 11.4094705582, propagate_forward_time: 304.7613830566, propagate_backward_time: 499.1967163086, weight_update_time: 1.3079693317, other_time: 10.2732238770
epoch time: 64.3997192383s, input_fired_time: 1.1357585192, output_fired_time: 0.0000000000, propagate_forward_time: 61.5744590759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6895027161
validation[          , genome 18394] predictions:    9885/  10000 (98.85%), best:    9892/10000 (98.92%), error:       391.93155, best error:       360.63284 on epoch:    70, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 835.4196166992s, input_fired_time: 10.5178556442, output_fired_time: 11.4368162155, propagate_forward_time: 304.4622802734, propagate_backward_time: 498.7177124023, weight_update_time: 1.2936518192, other_time: 10.2849121094
epoch time: 64.5767822266s, input_fired_time: 1.1402139664, output_fired_time: 0.0000000000, propagate_forward_time: 61.7387428284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6978263855
validation[          , genome 18394] predictions:    9889/  10000 (98.89%), best:    9892/10000 (98.92%), error:       379.16541, best error:       360.63284 on epoch:    70, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 836.1163940430s, input_fired_time: 10.5366401672, output_fired_time: 11.4431810379, propagate_forward_time: 304.6145324707, propagate_backward_time: 499.1902465820, weight_update_time: 1.2924039364, other_time: 10.3318176270
epoch time: 64.4233932495s, input_fired_time: 1.1362481117, output_fired_time: 0.0000000000, propagate_forward_time: 61.5903549194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6967887878
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       376.02979, best error:       360.63284 on epoch:    70, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 833.3362426758s, input_fired_time: 10.4990940094, output_fired_time: 11.4008588791, propagate_forward_time: 303.6141357422, propagate_backward_time: 497.5609741211, weight_update_time: 1.2915779352, other_time: 10.2611694336
epoch time: 64.4556045532s, input_fired_time: 1.1352517605, output_fired_time: 0.0000000000, propagate_forward_time: 61.6397819519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6805725098
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       371.34546, best error:       360.63284 on epoch:    70, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 828.5991821289s, input_fired_time: 10.4593467712, output_fired_time: 11.3348875046, propagate_forward_time: 302.1810913086, propagate_backward_time: 494.3929443359, weight_update_time: 1.2923582792, other_time: 10.2308959961
epoch time: 64.8371429443s, input_fired_time: 1.1443167925, output_fired_time: 0.0000000000, propagate_forward_time: 61.9767913818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7160339355
validation[          , genome 18394] predictions:    9884/  10000 (98.84%), best:    9892/10000 (98.92%), error:       376.78577, best error:       360.63284 on epoch:    70, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 835.2116088867s, input_fired_time: 10.5149593353, output_fired_time: 11.4529418945, propagate_forward_time: 304.2084960938, propagate_backward_time: 498.7632446289, weight_update_time: 1.2970217466, other_time: 10.2719726562
epoch time: 64.8448410034s, input_fired_time: 1.1479156017, output_fired_time: 0.0000000000, propagate_forward_time: 61.9841957092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7127304077
validation[          , genome 18394] predictions:    9890/  10000 (98.90%), best:    9892/10000 (98.92%), error:       379.76700, best error:       360.63284 on epoch:    70, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 838.1557006836s, input_fired_time: 10.6059017181, output_fired_time: 11.4959897995, propagate_forward_time: 305.3208923340, propagate_backward_time: 500.0854797363, weight_update_time: 1.3019199371, other_time: 10.6474609375
epoch time: 64.5760192871s, input_fired_time: 1.1418532133, output_fired_time: 0.0000000000, propagate_forward_time: 61.7235870361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7105789185
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       383.13007, best error:       360.63284 on epoch:    70, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 814.9995727539s, input_fired_time: 10.3416509628, output_fired_time: 11.0549039841, propagate_forward_time: 297.2029113770, propagate_backward_time: 486.0833740234, weight_update_time: 1.2837635279, other_time: 10.3166809082
epoch time: 62.6487274170s, input_fired_time: 1.1156975031, output_fired_time: 0.0000000000, propagate_forward_time: 59.8191986084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7138328552
validation[          , genome 18394] predictions:    9888/  10000 (98.88%), best:    9892/10000 (98.92%), error:       381.54691, best error:       360.63284 on epoch:    70, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 823.0202026367s, input_fired_time: 10.4184179306, output_fired_time: 11.2326679230, propagate_forward_time: 300.5607604980, propagate_backward_time: 490.4734497070, weight_update_time: 1.2929484844, other_time: 10.3349304199
epoch time: 64.2753143311s, input_fired_time: 1.1384817362, output_fired_time: 0.0000000000, propagate_forward_time: 61.4312896729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7055435181
validation[          , genome 18394] predictions:    9881/  10000 (98.81%), best:    9892/10000 (98.92%), error:       400.46243, best error:       360.63284 on epoch:    70, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 836.6998901367s, input_fired_time: 10.5626497269, output_fired_time: 11.4515304565, propagate_forward_time: 305.0154113770, propagate_backward_time: 499.3099365234, weight_update_time: 1.2984126806, other_time: 10.3603820801
epoch time: 64.5988693237s, input_fired_time: 1.1429563761, output_fired_time: 0.0000000000, propagate_forward_time: 61.7421417236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7137718201
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       370.49255, best error:       360.63284 on epoch:    70, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 835.6378784180s, input_fired_time: 10.5387754440, output_fired_time: 11.4247159958, propagate_forward_time: 304.9052124023, propagate_backward_time: 498.3988647461, weight_update_time: 1.2986623049, other_time: 10.3703002930
epoch time: 64.1157531738s, input_fired_time: 1.1324877739, output_fired_time: 0.0000000000, propagate_forward_time: 61.2832984924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6999664307
validation[          , genome 18394] predictions:    9887/  10000 (98.87%), best:    9892/10000 (98.92%), error:       371.15787, best error:       360.63284 on epoch:    70, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 834.4013671875s, input_fired_time: 10.5105495453, output_fired_time: 11.3942880630, propagate_forward_time: 304.4467773438, propagate_backward_time: 497.7457885742, weight_update_time: 1.3005481958, other_time: 10.3039550781
epoch time: 64.8168411255s, input_fired_time: 1.1412022114, output_fired_time: 0.0000000000, propagate_forward_time: 61.9837417603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6918983459
validation[          , genome 18394] predictions:    9888/  10000 (98.88%), best:    9892/10000 (98.92%), error:       394.10843, best error:       360.63284 on epoch:    70, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 840.1999511719s, input_fired_time: 10.5760993958, output_fired_time: 11.5088758469, propagate_forward_time: 306.1513671875, propagate_backward_time: 501.6855468750, weight_update_time: 1.2995523214, other_time: 10.2780761719
epoch time: 64.7814559937s, input_fired_time: 1.1496810913, output_fired_time: 0.0000000000, propagate_forward_time: 61.9095306396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7222442627
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       386.59946, best error:       360.63284 on epoch:    70, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 839.2666015625s, input_fired_time: 10.5754556656, output_fired_time: 11.4766521454, propagate_forward_time: 305.8627014160, propagate_backward_time: 501.0382995605, weight_update_time: 1.2979739904, other_time: 10.3135375977
epoch time: 64.8343200684s, input_fired_time: 1.1473270655, output_fired_time: 0.0000000000, propagate_forward_time: 61.9850387573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7019538879
validation[          , genome 18394] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       379.85779, best error:       360.63284 on epoch:    70, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 839.4653320312s, input_fired_time: 10.5656528473, output_fired_time: 11.4933290482, propagate_forward_time: 305.8686218262, propagate_backward_time: 501.2593078613, weight_update_time: 1.2982227802, other_time: 10.2783813477
epoch time: 64.7550048828s, input_fired_time: 1.1460726261, output_fired_time: 0.0000000000, propagate_forward_time: 61.9077224731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7012100220
validation[          , genome 18394] predictions:    9881/  10000 (98.81%), best:    9892/10000 (98.92%), error:       396.24442, best error:       360.63284 on epoch:    70, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 838.1542968750s, input_fired_time: 10.6287183762, output_fired_time: 11.4516153336, propagate_forward_time: 305.2737426758, propagate_backward_time: 500.0994567871, weight_update_time: 1.2997971773, other_time: 10.7007751465
epoch time: 65.1006622314s, input_fired_time: 1.1422089338, output_fired_time: 0.0000000000, propagate_forward_time: 62.2333450317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7251091003
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       389.19098, best error:       360.63284 on epoch:    70, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 836.7119140625s, input_fired_time: 10.6560926437, output_fired_time: 11.4859542847, propagate_forward_time: 304.2985839844, propagate_backward_time: 499.2395324707, weight_update_time: 1.3014147282, other_time: 11.0317687988
epoch time: 64.4650726318s, input_fired_time: 1.1443698406, output_fired_time: 0.0000000000, propagate_forward_time: 61.6170005798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7037010193
validation[          , genome 18394] predictions:    9886/  10000 (98.86%), best:    9892/10000 (98.92%), error:       398.10522, best error:       360.63284 on epoch:    70, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 838.1094970703s, input_fired_time: 10.5797538757, output_fired_time: 11.5103149414, propagate_forward_time: 305.2636718750, propagate_backward_time: 500.4021301270, weight_update_time: 1.2933118343, other_time: 10.3536071777
epoch time: 64.5624313354s, input_fired_time: 1.1394708157, output_fired_time: 0.0000000000, propagate_forward_time: 61.7377471924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6852149963
validation[          , genome 18394] predictions:    9882/  10000 (98.82%), best:    9892/10000 (98.92%), error:       391.31525, best error:       360.63284 on epoch:    70, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 834.3469848633s, input_fired_time: 10.5541744232, output_fired_time: 11.4989423752, propagate_forward_time: 304.7784423828, propagate_backward_time: 497.2149353027, weight_update_time: 1.2981438637, other_time: 10.3004455566
epoch time: 64.2737884521s, input_fired_time: 1.1415855885, output_fired_time: 0.0000000000, propagate_forward_time: 61.4208602905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7113418579
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       384.46970, best error:       360.63284 on epoch:    70, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 831.7471313477s, input_fired_time: 10.5815696716, output_fired_time: 11.5584058762, propagate_forward_time: 306.0979919434, propagate_backward_time: 493.2221984863, weight_update_time: 1.3019225597, other_time: 10.2869873047
epoch time: 64.5023269653s, input_fired_time: 1.1389498711, output_fired_time: 0.0000000000, propagate_forward_time: 61.6571960449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7061805725
validation[          , genome 18394] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       403.18420, best error:       360.63284 on epoch:    70, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 835.8881225586s, input_fired_time: 10.3400030136, output_fired_time: 11.4661226273, propagate_forward_time: 297.9437866211, propagate_backward_time: 505.8948059082, weight_update_time: 1.2954655886, other_time: 10.2433776855
epoch time: 64.4687805176s, input_fired_time: 1.1401196718, output_fired_time: 0.0000000000, propagate_forward_time: 61.6335220337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6951370239
validation[          , genome 18394] predictions:    9882/  10000 (98.82%), best:    9892/10000 (98.92%), error:       388.73544, best error:       360.63284 on epoch:    70, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 833.5966796875s, input_fired_time: 10.5509271622, output_fired_time: 11.3747186661, propagate_forward_time: 304.1918029785, propagate_backward_time: 497.1383666992, weight_update_time: 1.2972468138, other_time: 10.3409118652
epoch time: 64.4841232300s, input_fired_time: 1.1469894648, output_fired_time: 0.0000000000, propagate_forward_time: 61.6322517395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7048835754
validation[          , genome 18394] predictions:    9888/  10000 (98.88%), best:    9892/10000 (98.92%), error:       383.31094, best error:       360.63284 on epoch:    70, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 835.2911987305s, input_fired_time: 10.5593318939, output_fired_time: 11.4365234375, propagate_forward_time: 304.3089294434, propagate_backward_time: 498.6212768555, weight_update_time: 1.2944625616, other_time: 10.3651428223
epoch time: 62.9711647034s, input_fired_time: 1.1232321262, output_fired_time: 0.0000000000, propagate_forward_time: 60.1242065430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7237243652
validation[          , genome 18394] predictions:    9880/  10000 (98.80%), best:    9892/10000 (98.92%), error:       404.62030, best error:       360.63284 on epoch:    70, 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: 321.1629028320s, input_fired_time: 5.7378387451, output_fired_time: 0.0000000000, propagate_forward_time: 306.8217773438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6032714844
best training[          , genome 18394] predictions:   49994/  50000 (99.99%), best:    9892/10000 (98.92%), error:       134.21611, best error:       360.63284 on epoch:    70, 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: 63.5777320862s, input_fired_time: 1.1088349819, output_fired_time: 0.0000000000, propagate_forward_time: 60.7675170898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7013816833
   testing[          , genome 18394] predictions:    9900/  10000 (99.00%), best:    9892/10000 (98.92%), error:       324.38513, best error:       360.63284 on epoch:    70, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
05:38:22 (12608): called boinc_finish(0)

</stderr_txt>
]]>