Nameexact_genome_1542727803_185_6416_2
Workunit4101010
Created8 Feb 2019, 3:42:20 UTC
Sent8 Feb 2019, 3:42:27 UTC
Report deadline28 Apr 2019, 14:36:01 UTC
Received9 Feb 2019, 22:25:09 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time21 hours 7 min 31 sec
CPU time21 hours 6 min 9 sec
Validate stateValid
Credit19,863.47
Device peak FLOPS4.74 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size512.62 MB
Peak swap size510.92 MB
Peak disk usage9.84 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
on[          , genome  6416] predictions:    5530/  10000 (55.30%), best:    5633/10000 (56.33%), error:     13617.44336, best error:     13414.86035 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 687.9283447266s, input_fired_time: 5.8622918129, output_fired_time: 4.6790065765, propagate_forward_time: 244.2880706787, propagate_backward_time: 425.1602478027, weight_update_time: 0.8019827008, other_time: 7.9386901855
epoch time: 50.8306236267s, input_fired_time: 0.6760840416, output_fired_time: 0.0000000000, propagate_forward_time: 48.7001533508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4543876648
validation[          , genome  6416] predictions:    5772/  10000 (57.72%), best:    5772/10000 (57.72%), error:     12916.84668, best error:     12916.84668 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 687.2808227539s, input_fired_time: 5.8882222176, output_fired_time: 4.6595735550, propagate_forward_time: 244.6334228516, propagate_backward_time: 424.1882019043, weight_update_time: 0.7999449372, other_time: 7.9114074707
epoch time: 51.1935462952s, input_fired_time: 0.6798985004, output_fired_time: 0.0000000000, propagate_forward_time: 49.0694084167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4442405701
validation[          , genome  6416] predictions:    5675/  10000 (56.75%), best:    5772/10000 (57.72%), error:     13485.09961, best error:     12916.84668 on epoch:    35, 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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416_2_r1785748017_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: 35
read number_validation_images: 10000
read best_validation_predictions: 5772
read best_validation_error: 12916.8
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: 6416
read normal distribution: '1 0 0'
generator_str: '861174054'
read generator: 861174054
read generated_by_map:
1 enable_node 1
reading 76 nodes.
reading 296 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416_2_r1785748017_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: 35
read number_validation_images: 10000
read best_validation_predictions: 5772
read best_validation_error: 12916.8
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: 6416
read normal distribution: '1 0 0'
generator_str: '861174054'
read generator: 861174054
read generated_by_map:
1 enable_node 1
reading 76 nodes.
reading 296 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_185_6416_2_r1785748017_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: 35
read number_validation_images: 10000
read best_validation_predictions: 5772
read best_validation_error: 12916.8
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: 6416
read normal distribution: '1 0 0'
generator_str: '861174054'
read generator: 861174054
read generated_by_map:
1 enable_node 1
reading 76 nodes.
reading 296 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 697.023681640625s, input_fired_time: 5.98515129089355, output_fired_time: 4.71644878387451, propagate_forward_time: 248.802627563477, propagate_backward_time: 429.394134521484, weight_update_time: 0.809492886066437, other_time: 8.12533569335938
epoch time: 53.451732635498s, input_fired_time: 0.71920770406723, output_fired_time: 0, propagate_forward_time: 51.2026481628418, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.52987670898438
validation[          , genome  6416] predictions:    5691/  10000 (56.91%), best:    5772/10000 (57.72%), error:     13212.56445, best error:     12916.84668 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 702.1478881836s, input_fired_time: 6.0240321159, output_fired_time: 4.7519330978, propagate_forward_time: 250.4178771973, propagate_backward_time: 432.9022827148, weight_update_time: 0.8086020947, other_time: 8.0517272949
epoch time: 51.9487304688s, input_fired_time: 0.6941262484, output_fired_time: 0.0000000000, propagate_forward_time: 49.7776527405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4769515991
validation[          , genome  6416] predictions:    5521/  10000 (55.21%), best:    5772/10000 (57.72%), error:     13618.96777, best error:     12916.84668 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 699.0238647461s, input_fired_time: 5.9928689003, output_fired_time: 4.7356343269, propagate_forward_time: 248.7531433105, propagate_backward_time: 431.5121765137, weight_update_time: 0.8083618879, other_time: 8.0300292969
epoch time: 51.0596275330s, input_fired_time: 0.6810003519, output_fired_time: 0.0000000000, propagate_forward_time: 48.9153823853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4632453918
validation[          , genome  6416] predictions:    5644/  10000 (56.44%), best:    5772/10000 (57.72%), error:     13121.91895, best error:     12916.84668 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 686.4208374023s, input_fired_time: 5.8942561150, output_fired_time: 4.6795725822, propagate_forward_time: 243.9253997803, propagate_backward_time: 423.9978637695, weight_update_time: 0.7993156910, other_time: 7.9237670898
epoch time: 51.2994804382s, input_fired_time: 0.6927314997, output_fired_time: 0.0000000000, propagate_forward_time: 49.1488838196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4578666687
validation[          , genome  6416] predictions:    5751/  10000 (57.51%), best:    5772/10000 (57.72%), error:     13180.25781, best error:     12916.84668 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 687.3463134766s, input_fired_time: 5.9052891731, output_fired_time: 4.6375484467, propagate_forward_time: 244.4755706787, propagate_backward_time: 424.3958435059, weight_update_time: 0.8008492589, other_time: 7.9320373535
epoch time: 51.1451263428s, input_fired_time: 0.6870568991, output_fired_time: 0.0000000000, propagate_forward_time: 49.0024375916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4556312561
validation[          , genome  6416] predictions:    5555/  10000 (55.55%), best:    5772/10000 (57.72%), error:     13810.37207, best error:     12916.84668 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 716.6213378906s, input_fired_time: 5.9115090370, output_fired_time: 4.6585869789, propagate_forward_time: 244.1689300537, propagate_backward_time: 453.9696044922, weight_update_time: 0.7975071073, other_time: 7.9127197266
epoch time: 50.5557785034s, input_fired_time: 0.6848967671, output_fired_time: 0.0000000000, propagate_forward_time: 48.4145240784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4563560486
validation[          , genome  6416] predictions:    5765/  10000 (57.65%), best:    5772/10000 (57.72%), error:     13014.50391, best error:     12916.84668 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 692.1701660156s, input_fired_time: 5.9782915115, output_fired_time: 4.6642088890, propagate_forward_time: 246.5795288086, propagate_backward_time: 427.0088500977, weight_update_time: 0.8024416566, other_time: 7.9393310547
epoch time: 51.3636589050s, input_fired_time: 0.6942852736, output_fired_time: 0.0000000000, propagate_forward_time: 49.2149620056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4544105530
validation[          , genome  6416] predictions:    5764/  10000 (57.64%), best:    5764/10000 (57.64%), error:     12641.49023, best error:     12641.49023 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 690.5723876953s, input_fired_time: 5.9890155792, output_fired_time: 4.6812591553, propagate_forward_time: 246.6080322266, propagate_backward_time: 425.3526306152, weight_update_time: 0.8000479937, other_time: 7.9414367676
epoch time: 51.5455284119s, input_fired_time: 0.7032447457, output_fired_time: 0.0000000000, propagate_forward_time: 49.3898277283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4524574280
validation[          , genome  6416] predictions:    5831/  10000 (58.31%), best:    5831/10000 (58.31%), error:     12604.82422, best error:     12604.82422 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 693.6564331055s, input_fired_time: 6.0101661682, output_fired_time: 4.7175240517, propagate_forward_time: 247.3508605957, propagate_backward_time: 427.6015930176, weight_update_time: 0.8064733744, other_time: 7.9762573242
epoch time: 52.3787612915s, input_fired_time: 0.7132893205, output_fired_time: 0.0000000000, propagate_forward_time: 50.2084007263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4570693970
validation[          , genome  6416] predictions:    5786/  10000 (57.86%), best:    5831/10000 (58.31%), error:     12986.33789, best error:     12604.82422 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 695.1843872070s, input_fired_time: 6.0013470650, output_fired_time: 4.6775035858, propagate_forward_time: 246.8000793457, propagate_backward_time: 429.7119140625, weight_update_time: 0.8106244206, other_time: 7.9935607910
epoch time: 52.0189933777s, input_fired_time: 0.7040999532, output_fired_time: 0.0000000000, propagate_forward_time: 49.8496475220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4652442932
validation[          , genome  6416] predictions:    5786/  10000 (57.86%), best:    5831/10000 (58.31%), error:     12912.21289, best error:     12604.82422 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 695.8104858398s, input_fired_time: 6.0390343666, output_fired_time: 4.7137436867, propagate_forward_time: 247.8611297607, propagate_backward_time: 429.2543640137, weight_update_time: 0.8019556403, other_time: 7.9421691895
epoch time: 52.0380516052s, input_fired_time: 0.7111383080, output_fired_time: 0.0000000000, propagate_forward_time: 49.8511619568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4757499695
validation[          , genome  6416] predictions:    5814/  10000 (58.14%), best:    5831/10000 (58.31%), error:     12998.29980, best error:     12604.82422 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 706.1228637695s, input_fired_time: 6.0383110046, output_fired_time: 4.7295513153, propagate_forward_time: 246.7259674072, propagate_backward_time: 440.6719970703, weight_update_time: 0.8036050797, other_time: 7.9570312500
epoch time: 52.0953826904s, input_fired_time: 0.7104828954, output_fired_time: 0.0000000000, propagate_forward_time: 49.9174194336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4674797058
validation[          , genome  6416] predictions:    5821/  10000 (58.21%), best:    5831/10000 (58.31%), error:     12789.59766, best error:     12604.82422 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 695.3766479492s, input_fired_time: 6.0805478096, output_fired_time: 4.7447409630, propagate_forward_time: 248.4689178467, propagate_backward_time: 428.1554565430, weight_update_time: 0.8000761271, other_time: 7.9269409180
epoch time: 51.3167648315s, input_fired_time: 0.7011175156, output_fired_time: 0.0000000000, propagate_forward_time: 49.1562423706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4594039917
validation[          , genome  6416] predictions:    5846/  10000 (58.46%), best:    5831/10000 (58.31%), error:     12695.23535, best error:     12604.82422 on epoch:    44, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 695.0911254883s, input_fired_time: 6.0708703995, output_fired_time: 4.7176084518, propagate_forward_time: 248.2581329346, propagate_backward_time: 428.1097106934, weight_update_time: 0.8024913669, other_time: 7.9348449707
epoch time: 51.6919212341s, input_fired_time: 0.7068824172, output_fired_time: 0.0000000000, propagate_forward_time: 49.5255928040, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4594459534
validation[          , genome  6416] predictions:    5715/  10000 (57.15%), best:    5831/10000 (58.31%), error:     13136.79199, best error:     12604.82422 on epoch:    44, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 695.4517211914s, input_fired_time: 6.0652327538, output_fired_time: 4.7152628899, propagate_forward_time: 247.9735717773, propagate_backward_time: 428.7591857910, weight_update_time: 0.8041622639, other_time: 7.9384460449
epoch time: 52.3405609131s, input_fired_time: 0.7198947668, output_fired_time: 0.0000000000, propagate_forward_time: 50.1360816956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4845848083
validation[          , genome  6416] predictions:    5809/  10000 (58.09%), best:    5831/10000 (58.31%), error:     12613.12012, best error:     12604.82422 on epoch:    44, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 695.1290283203s, input_fired_time: 6.0683960915, output_fired_time: 4.7217516899, propagate_forward_time: 247.6714935303, propagate_backward_time: 428.7338256836, weight_update_time: 0.8009666204, other_time: 7.9335327148
epoch time: 53.1571655273s, input_fired_time: 0.7305765152, output_fired_time: 0.0000000000, propagate_forward_time: 50.9386596680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4879302979
validation[          , genome  6416] predictions:    5821/  10000 (58.21%), best:    5831/10000 (58.31%), error:     12769.82715, best error:     12604.82422 on epoch:    44, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 707.7310180664s, input_fired_time: 6.0833773613, output_fired_time: 4.7500648499, propagate_forward_time: 258.0621032715, propagate_backward_time: 430.8535461426, weight_update_time: 0.8070249557, other_time: 7.9819335938
epoch time: 52.2393226624s, input_fired_time: 0.7218751311, output_fired_time: 0.0000000000, propagate_forward_time: 50.0369224548, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4805259705
validation[          , genome  6416] predictions:    5895/  10000 (58.95%), best:    5831/10000 (58.31%), error:     12637.43945, best error:     12604.82422 on epoch:    44, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 699.4512329102s, input_fired_time: 6.0897727013, output_fired_time: 4.7078495026, propagate_forward_time: 248.5526580811, propagate_backward_time: 432.1176757813, weight_update_time: 0.8101688027, other_time: 7.9832763672
epoch time: 51.0301284790s, input_fired_time: 0.7049545646, output_fired_time: 0.0000000000, propagate_forward_time: 48.8593711853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4658012390
validation[          , genome  6416] predictions:    5990/  10000 (59.90%), best:    5990/10000 (59.90%), error:     12447.68750, best error:     12447.68750 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 700.6684570313s, input_fired_time: 6.1246280670, output_fired_time: 4.7396798134, propagate_forward_time: 249.0283508301, propagate_backward_time: 432.7573547363, weight_update_time: 0.8148431778, other_time: 8.0184326172
epoch time: 51.8956756592s, input_fired_time: 0.7210118175, output_fired_time: 0.0000000000, propagate_forward_time: 49.7035675049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4710960388
validation[          , genome  6416] predictions:    5880/  10000 (58.80%), best:    5880/10000 (58.80%), error:     12375.79492, best error:     12375.79492 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 697.6898193359s, input_fired_time: 6.1050200462, output_fired_time: 4.7397332191, propagate_forward_time: 248.1061096191, propagate_backward_time: 430.7494201660, weight_update_time: 0.8084980249, other_time: 7.9895019531
epoch time: 52.4814338684s, input_fired_time: 0.7313337326, output_fired_time: 0.0000000000, propagate_forward_time: 50.2789421082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4711570740
validation[          , genome  6416] predictions:    5964/  10000 (59.64%), best:    5880/10000 (58.80%), error:     12428.06445, best error:     12375.79492 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 695.0858154297s, input_fired_time: 6.0898971558, output_fired_time: 4.7001724243, propagate_forward_time: 247.2124786377, propagate_backward_time: 429.1468811035, weight_update_time: 0.8033958673, other_time: 7.9363708496
epoch time: 51.4285964966s, input_fired_time: 0.7138832211, output_fired_time: 0.0000000000, propagate_forward_time: 49.2647628784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4499511719
validation[          , genome  6416] predictions:    5971/  10000 (59.71%), best:    5971/10000 (59.71%), error:     12320.48535, best error:     12320.48535 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 696.7131347656s, input_fired_time: 6.1060042381, output_fired_time: 4.7221155167, propagate_forward_time: 247.9876861572, propagate_backward_time: 429.9338073730, weight_update_time: 0.8072788119, other_time: 7.9635314941
epoch time: 51.7492408752s, input_fired_time: 0.7214109898, output_fired_time: 0.0000000000, propagate_forward_time: 49.5427284241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4850997925
validation[          , genome  6416] predictions:    5942/  10000 (59.42%), best:    5971/10000 (59.71%), error:     12372.74121, best error:     12320.48535 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 702.9865112305s, input_fired_time: 6.1858325005, output_fired_time: 4.7325763702, propagate_forward_time: 250.7262573242, propagate_backward_time: 433.3327331543, weight_update_time: 0.8130642772, other_time: 8.0090637207
epoch time: 51.3336563110s, input_fired_time: 0.7174616456, output_fired_time: 0.0000000000, propagate_forward_time: 49.1511116028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4650840759
validation[          , genome  6416] predictions:    5951/  10000 (59.51%), best:    5951/10000 (59.51%), error:     12317.45215, best error:     12317.45215 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 699.8287963867s, input_fired_time: 6.1583003998, output_fired_time: 4.7522549629, propagate_forward_time: 248.8403320313, propagate_backward_time: 432.1304321289, weight_update_time: 0.8016119599, other_time: 7.9474487305
epoch time: 51.5122413635s, input_fired_time: 0.7197725177, output_fired_time: 0.0000000000, propagate_forward_time: 49.3356323242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4568367004
validation[          , genome  6416] predictions:    5920/  10000 (59.20%), best:    5951/10000 (59.51%), error:     12473.87598, best error:     12317.45215 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 700.4670410156s, input_fired_time: 6.1668925285, output_fired_time: 4.7726922035, propagate_forward_time: 249.1507415771, propagate_backward_time: 432.4166870117, weight_update_time: 0.8048968911, other_time: 7.9600219727
epoch time: 52.1440505981s, input_fired_time: 0.7301617861, output_fired_time: 0.0000000000, propagate_forward_time: 49.9549179077, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4589691162
validation[          , genome  6416] predictions:    6080/  10000 (60.80%), best:    6080/10000 (60.80%), error:     11900.00391, best error:     11900.00391 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 697.9107055664s, input_fired_time: 6.1367087364, output_fired_time: 4.7578744888, propagate_forward_time: 247.9129791260, propagate_backward_time: 431.1409912109, weight_update_time: 0.8055435419, other_time: 7.9621582031
epoch time: 51.7378654480s, input_fired_time: 0.7255303264, output_fired_time: 0.0000000000, propagate_forward_time: 49.5369415283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4753952026
validation[          , genome  6416] predictions:    5938/  10000 (59.38%), best:    6080/10000 (60.80%), error:     12245.89453, best error:     11900.00391 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 693.8767700195s, input_fired_time: 6.1310377121, output_fired_time: 4.7597804070, propagate_forward_time: 247.1943359375, propagate_backward_time: 427.8723144531, weight_update_time: 0.7992030978, other_time: 7.9193115234
epoch time: 52.6694335938s, input_fired_time: 0.7374498844, output_fired_time: 0.0000000000, propagate_forward_time: 50.4584388733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4735450745
validation[          , genome  6416] predictions:    5884/  10000 (58.84%), best:    6080/10000 (60.80%), error:     12636.50977, best error:     11900.00391 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 697.3017578125s, input_fired_time: 6.1783452034, output_fired_time: 4.7342000008, propagate_forward_time: 249.1611785889, propagate_backward_time: 429.2482299805, weight_update_time: 0.8096654415, other_time: 7.9797973633
epoch time: 52.8298492432s, input_fired_time: 0.7394093871, output_fired_time: 0.0000000000, propagate_forward_time: 50.6163139343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4741249084
validation[          , genome  6416] predictions:    5997/  10000 (59.97%), best:    6080/10000 (60.80%), error:     12023.31055, best error:     11900.00391 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 792.9330444336s, input_fired_time: 6.4561929703, output_fired_time: 4.9544811249, propagate_forward_time: 270.6360473633, propagate_backward_time: 502.5775451660, weight_update_time: 0.8455100060, other_time: 8.3088073730
epoch time: 52.2028541565s, input_fired_time: 0.7347632051, output_fired_time: 0.0000000000, propagate_forward_time: 49.9818000793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4862899780
validation[          , genome  6416] predictions:    6107/  10000 (61.07%), best:    6080/10000 (60.80%), error:     11945.20996, best error:     11900.00391 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 693.8577880859s, input_fired_time: 6.1281542778, output_fired_time: 4.6746025085, propagate_forward_time: 246.8589324951, propagate_backward_time: 428.2967224121, weight_update_time: 0.7973266840, other_time: 7.8993225098
epoch time: 51.2236747742s, input_fired_time: 0.7219544649, output_fired_time: 0.0000000000, propagate_forward_time: 49.0702476501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4314727783
validation[          , genome  6416] predictions:    5975/  10000 (59.75%), best:    6080/10000 (60.80%), error:     12437.95020, best error:     11900.00391 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 693.4719238281s, input_fired_time: 6.1382846832, output_fired_time: 4.6846795082, propagate_forward_time: 247.0397338867, propagate_backward_time: 427.6683349609, weight_update_time: 0.8047711253, other_time: 7.9408569336
epoch time: 51.6418914795s, input_fired_time: 0.7293950915, output_fired_time: 0.0000000000, propagate_forward_time: 49.4439125061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4685821533
validation[          , genome  6416] predictions:    6056/  10000 (60.56%), best:    6080/10000 (60.80%), error:     12048.04883, best error:     11900.00391 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 695.2865600586s, input_fired_time: 6.1528372765, output_fired_time: 4.7318153381, propagate_forward_time: 247.3495178223, propagate_backward_time: 429.1100463867, weight_update_time: 0.8037221432, other_time: 7.9423522949
epoch time: 51.5810966492s, input_fired_time: 0.7287896872, output_fired_time: 0.0000000000, propagate_forward_time: 49.4097175598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4425888062
validation[          , genome  6416] predictions:    6033/  10000 (60.33%), best:    6080/10000 (60.80%), error:     12225.15723, best error:     11900.00391 on epoch:    61, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 687.9134521484s, input_fired_time: 6.0856142044, output_fired_time: 4.6396269798, propagate_forward_time: 244.8225402832, propagate_backward_time: 424.4840698242, weight_update_time: 0.7957804799, other_time: 7.8815612793
epoch time: 51.1773719788s, input_fired_time: 0.7254728675, output_fired_time: 0.0000000000, propagate_forward_time: 48.9983901978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4535102844
validation[          , genome  6416] predictions:    6066/  10000 (60.66%), best:    6080/10000 (60.80%), error:     11982.33789, best error:     11900.00391 on epoch:    61, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 694.2714233398s, input_fired_time: 6.1410660744, output_fired_time: 4.6822428703, propagate_forward_time: 246.2608947754, propagate_backward_time: 429.2522583008, weight_update_time: 0.8018847704, other_time: 7.9349670410
epoch time: 51.6692199707s, input_fired_time: 0.7319878340, output_fired_time: 0.0000000000, propagate_forward_time: 49.4824562073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4547767639
validation[          , genome  6416] predictions:    6129/  10000 (61.29%), best:    6129/10000 (61.29%), error:     11898.55176, best error:     11898.55176 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 686.2269897461s, input_fired_time: 6.0739645958, output_fired_time: 4.6730270386, propagate_forward_time: 243.2710571289, propagate_backward_time: 424.3511962891, weight_update_time: 0.7911444306, other_time: 7.8577270508
epoch time: 51.3699607849s, input_fired_time: 0.7252113819, output_fired_time: 0.0000000000, propagate_forward_time: 49.2070808411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4376678467
validation[          , genome  6416] predictions:    6083/  10000 (60.83%), best:    6129/10000 (61.29%), error:     12090.24805, best error:     11898.55176 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 687.7908325195s, input_fired_time: 6.0830535889, output_fired_time: 4.6388635635, propagate_forward_time: 244.2398986816, propagate_backward_time: 424.9468688965, weight_update_time: 0.7952175140, other_time: 7.8821411133
epoch time: 51.0284423828s, input_fired_time: 0.7231132984, output_fired_time: 0.0000000000, propagate_forward_time: 48.8661270142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4392013550
validation[          , genome  6416] predictions:    6053/  10000 (60.53%), best:    6129/10000 (61.29%), error:     12027.40723, best error:     11898.55176 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 685.1292724609s, input_fired_time: 6.0797948837, output_fired_time: 4.6521682739, propagate_forward_time: 243.5592193604, propagate_backward_time: 422.9788208008, weight_update_time: 0.7919850945, other_time: 7.8593139648
epoch time: 51.0170783997s, input_fired_time: 0.7248992920, output_fired_time: 0.0000000000, propagate_forward_time: 48.8584098816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4337692261
validation[          , genome  6416] predictions:    6066/  10000 (60.66%), best:    6129/10000 (61.29%), error:     11948.04492, best error:     11898.55176 on epoch:    70, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 683.2984008789s, input_fired_time: 6.0810914040, output_fired_time: 4.6507463455, propagate_forward_time: 242.9367065430, propagate_backward_time: 421.8326416016, weight_update_time: 0.7841615677, other_time: 7.7971801758
epoch time: 50.9531211853s, input_fired_time: 0.7213839293, output_fired_time: 0.0000000000, propagate_forward_time: 48.7924804688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4392585754
validation[          , genome  6416] predictions:    6105/  10000 (61.05%), best:    6129/10000 (61.29%), error:     12062.59570, best error:     11898.55176 on epoch:    70, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 686.3347167969s, input_fired_time: 6.1065726280, output_fired_time: 4.6527490616, propagate_forward_time: 244.3302459717, propagate_backward_time: 423.3612670898, weight_update_time: 0.7960087061, other_time: 7.8838500977
epoch time: 50.9439773560s, input_fired_time: 0.7237523794, output_fired_time: 0.0000000000, propagate_forward_time: 48.7787666321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4414596558
validation[          , genome  6416] predictions:    6124/  10000 (61.24%), best:    6129/10000 (61.29%), error:     11948.60547, best error:     11898.55176 on epoch:    70, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 687.9008178711s, input_fired_time: 6.1196427345, output_fired_time: 4.6697564125, propagate_forward_time: 244.5989685059, propagate_backward_time: 424.6007690430, weight_update_time: 0.8016604185, other_time: 7.9117126465
epoch time: 51.1422195435s, input_fired_time: 0.7308479548, output_fired_time: 0.0000000000, propagate_forward_time: 48.9637794495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4475936890
validation[          , genome  6416] predictions:    6034/  10000 (60.34%), best:    6129/10000 (61.29%), error:     12102.13574, best error:     11898.55176 on epoch:    70, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 685.8225097656s, input_fired_time: 6.1011567116, output_fired_time: 4.6371736526, propagate_forward_time: 244.3416900635, propagate_backward_time: 422.8583679199, weight_update_time: 0.7964192629, other_time: 7.8841857910
epoch time: 51.2587547302s, input_fired_time: 0.7286579609, output_fired_time: 0.0000000000, propagate_forward_time: 49.0770912170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4530067444
validation[          , genome  6416] predictions:    5982/  10000 (59.82%), best:    6129/10000 (61.29%), error:     12354.99023, best error:     11898.55176 on epoch:    70, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 688.4080200195s, input_fired_time: 6.1283335686, output_fired_time: 4.6411681175, propagate_forward_time: 244.8476104736, propagate_backward_time: 424.9121093750, weight_update_time: 0.7958765626, other_time: 7.8787841797
epoch time: 51.1744880676s, input_fired_time: 0.7325790524, output_fired_time: 0.0000000000, propagate_forward_time: 48.9918823242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4500274658
validation[          , genome  6416] predictions:    6097/  10000 (60.97%), best:    6129/10000 (61.29%), error:     12001.03906, best error:     11898.55176 on epoch:    70, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 687.7963256836s, input_fired_time: 6.1043624878, output_fired_time: 4.6210083961, propagate_forward_time: 244.0321502686, propagate_backward_time: 425.1535034180, weight_update_time: 0.7986179590, other_time: 7.8852539063
epoch time: 51.4412345886s, input_fired_time: 0.7338164449, output_fired_time: 0.0000000000, propagate_forward_time: 49.2328491211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4745674133
validation[          , genome  6416] predictions:    6097/  10000 (60.97%), best:    6129/10000 (61.29%), error:     11950.28320, best error:     11898.55176 on epoch:    70, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 688.3837890625s, input_fired_time: 6.1380405426, output_fired_time: 4.6770458221, propagate_forward_time: 244.7835083008, propagate_backward_time: 424.8789062500, weight_update_time: 0.7982206345, other_time: 7.9062500000
epoch time: 50.9670333862s, input_fired_time: 0.7305222750, output_fired_time: 0.0000000000, propagate_forward_time: 48.7871437073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4493675232
validation[          , genome  6416] predictions:    6170/  10000 (61.70%), best:    6170/10000 (61.70%), error:     11765.57129, best error:     11765.57129 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 688.8510742188s, input_fired_time: 6.1643772125, output_fired_time: 4.7237057686, propagate_forward_time: 245.3392944336, propagate_backward_time: 424.7331848145, weight_update_time: 0.7970987558, other_time: 7.8905334473
epoch time: 51.5481491089s, input_fired_time: 0.7392743826, output_fired_time: 0.0000000000, propagate_forward_time: 49.3581008911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4507751465
validation[          , genome  6416] predictions:    6056/  10000 (60.56%), best:    6170/10000 (61.70%), error:     12115.09473, best error:     11765.57129 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 687.4439697266s, input_fired_time: 6.1345963478, output_fired_time: 4.6701259613, propagate_forward_time: 244.8404846191, propagate_backward_time: 423.8840026855, weight_update_time: 0.8020502925, other_time: 7.9147949219
epoch time: 51.3397178650s, input_fired_time: 0.7356429696, output_fired_time: 0.0000000000, propagate_forward_time: 49.1568641663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4472122192
validation[          , genome  6416] predictions:    6082/  10000 (60.82%), best:    6170/10000 (61.70%), error:     12022.61133, best error:     11765.57129 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 688.8311767578s, input_fired_time: 6.1687951088, output_fired_time: 4.6671118736, propagate_forward_time: 245.6716766357, propagate_backward_time: 424.4147033691, weight_update_time: 0.8010582328, other_time: 7.9088439941
epoch time: 51.3975067139s, input_fired_time: 0.7368051410, output_fired_time: 0.0000000000, propagate_forward_time: 49.2118034363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4488983154
validation[          , genome  6416] predictions:    6136/  10000 (61.36%), best:    6170/10000 (61.70%), error:     11850.62109, best error:     11765.57129 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 691.5243530273s, input_fired_time: 6.1684865952, output_fired_time: 4.6964282990, propagate_forward_time: 245.5879821777, propagate_backward_time: 427.1486511230, weight_update_time: 0.8005450368, other_time: 7.9228515625
epoch time: 52.0441055298s, input_fired_time: 0.7474538088, output_fired_time: 0.0000000000, propagate_forward_time: 49.8333854675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4632644653
validation[          , genome  6416] predictions:    6147/  10000 (61.47%), best:    6170/10000 (61.70%), error:     12003.00391, best error:     11765.57129 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 690.4168701172s, input_fired_time: 6.1725459099, output_fired_time: 4.7008161545, propagate_forward_time: 245.8353576660, propagate_backward_time: 425.7921142578, weight_update_time: 0.8008260131, other_time: 7.9160461426
epoch time: 50.9951095581s, input_fired_time: 0.7355366945, output_fired_time: 0.0000000000, propagate_forward_time: 48.8104133606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4491577148
validation[          , genome  6416] predictions:    6123/  10000 (61.23%), best:    6170/10000 (61.70%), error:     11927.81055, best error:     11765.57129 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 688.0588378906s, input_fired_time: 6.1434612274, output_fired_time: 4.6570529938, propagate_forward_time: 244.5665893555, propagate_backward_time: 424.8078918457, weight_update_time: 0.7961858511, other_time: 7.8838806152
epoch time: 51.2976837158s, input_fired_time: 0.7368561625, output_fired_time: 0.0000000000, propagate_forward_time: 49.1147766113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4460525513
validation[          , genome  6416] predictions:    6148/  10000 (61.48%), best:    6170/10000 (61.70%), error:     11984.49902, best error:     11765.57129 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 686.6318359375s, input_fired_time: 6.1394410133, output_fired_time: 4.6601810455, propagate_forward_time: 244.1394805908, propagate_backward_time: 423.8412170410, weight_update_time: 0.7926394343, other_time: 7.8515319824
epoch time: 51.1360855103s, input_fired_time: 0.7370946407, output_fired_time: 0.0000000000, propagate_forward_time: 48.9432754517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4557151794
validation[          , genome  6416] predictions:    6169/  10000 (61.69%), best:    6170/10000 (61.70%), error:     11855.90527, best error:     11765.57129 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 688.2374267578s, input_fired_time: 6.1649355888, output_fired_time: 4.6734833717, propagate_forward_time: 244.6961822510, propagate_backward_time: 424.8261108398, weight_update_time: 0.7966535091, other_time: 7.8767700195
epoch time: 51.6633834839s, input_fired_time: 0.7442698479, output_fired_time: 0.0000000000, propagate_forward_time: 49.4604835510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4586296082
validation[          , genome  6416] predictions:    6138/  10000 (61.38%), best:    6170/10000 (61.70%), error:     11820.06445, best error:     11765.57129 on epoch:    80, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 693.3329467773s, input_fired_time: 6.1990027428, output_fired_time: 4.7083268166, propagate_forward_time: 245.8779602051, propagate_backward_time: 428.6180114746, weight_update_time: 0.8038299680, other_time: 7.9296875000
epoch time: 52.0558891296s, input_fired_time: 0.7524675727, output_fired_time: 0.0000000000, propagate_forward_time: 49.8431510925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4602699280
validation[          , genome  6416] predictions:    6083/  10000 (60.83%), best:    6170/10000 (61.70%), error:     12001.75098, best error:     11765.57129 on epoch:    80, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 696.9498901367s, input_fired_time: 6.2290282249, output_fired_time: 4.7145471573, propagate_forward_time: 247.3249664307, propagate_backward_time: 430.7377624512, weight_update_time: 0.8059165478, other_time: 7.9436340332
epoch time: 52.1672325134s, input_fired_time: 0.7516950369, output_fired_time: 0.0000000000, propagate_forward_time: 49.9488906860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4666481018
validation[          , genome  6416] predictions:    6087/  10000 (60.87%), best:    6170/10000 (61.70%), error:     12097.10352, best error:     11765.57129 on epoch:    80, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 698.4063110352s, input_fired_time: 6.2677555084, output_fired_time: 4.7343468666, propagate_forward_time: 248.5691986084, propagate_backward_time: 430.8999938965, weight_update_time: 0.8050167561, other_time: 7.9349670410
epoch time: 52.0393524170s, input_fired_time: 0.7530190349, output_fired_time: 0.0000000000, propagate_forward_time: 49.8197097778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4666252136
validation[          , genome  6416] predictions:    6140/  10000 (61.40%), best:    6170/10000 (61.70%), error:     11847.12012, best error:     11765.57129 on epoch:    80, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 701.6291503906s, input_fired_time: 6.3092441559, output_fired_time: 4.7642455101, propagate_forward_time: 250.0955505371, propagate_backward_time: 432.4716796875, weight_update_time: 0.8136712909, other_time: 7.9884338379
epoch time: 52.2065963745s, input_fired_time: 0.7507479191, output_fired_time: 0.0000000000, propagate_forward_time: 49.9954948425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4603538513
validation[          , genome  6416] predictions:    6182/  10000 (61.82%), best:    6170/10000 (61.70%), error:     11884.55664, best error:     11765.57129 on epoch:    80, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 702.3462524414s, input_fired_time: 6.3146810532, output_fired_time: 4.7690396309, propagate_forward_time: 250.7150878906, propagate_backward_time: 432.5877380371, weight_update_time: 0.8100059628, other_time: 7.9596862793
epoch time: 52.3765563965s, input_fired_time: 0.7586128116, output_fired_time: 0.0000000000, propagate_forward_time: 50.1475868225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4703559875
validation[          , genome  6416] predictions:    6169/  10000 (61.69%), best:    6170/10000 (61.70%), error:     11828.08789, best error:     11765.57129 on epoch:    80, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 700.9190063477s, input_fired_time: 6.2903995514, output_fired_time: 4.7542371750, propagate_forward_time: 249.4670562744, propagate_backward_time: 432.4732360840, weight_update_time: 0.8047519922, other_time: 7.9341125488
epoch time: 52.8102188110s, input_fired_time: 0.7615913749, output_fired_time: 0.0000000000, propagate_forward_time: 50.5505256653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4981002808
validation[          , genome  6416] predictions:    6094/  10000 (60.94%), best:    6170/10000 (61.70%), error:     11976.63574, best error:     11765.57129 on epoch:    80, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 701.0207519531s, input_fired_time: 6.3003473282, output_fired_time: 4.7665176392, propagate_forward_time: 249.6890258789, propagate_backward_time: 432.2931213379, weight_update_time: 0.8094108701, other_time: 7.9717102051
epoch time: 52.1479339600s, input_fired_time: 0.7562378049, output_fired_time: 0.0000000000, propagate_forward_time: 49.9337844849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4579124451
validation[          , genome  6416] predictions:    6144/  10000 (61.44%), best:    6170/10000 (61.70%), error:     11897.55664, best error:     11765.57129 on epoch:    80, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 693.7017211914s, input_fired_time: 6.2483549118, output_fired_time: 4.7035255432, propagate_forward_time: 247.1295166016, propagate_backward_time: 427.6673278809, weight_update_time: 0.8072246909, other_time: 7.9529724121
epoch time: 52.2154884338s, input_fired_time: 0.7568915486, output_fired_time: 0.0000000000, propagate_forward_time: 49.9953804016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4632148743
validation[          , genome  6416] predictions:    6156/  10000 (61.56%), best:    6170/10000 (61.70%), error:     11932.96484, best error:     11765.57129 on epoch:    80, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 691.4944458008s, input_fired_time: 6.1777734756, output_fired_time: 4.6551771164, propagate_forward_time: 245.3027954102, propagate_backward_time: 427.4509582520, weight_update_time: 0.7995259762, other_time: 7.9077453613
epoch time: 51.0575141907s, input_fired_time: 0.7406537533, output_fired_time: 0.0000000000, propagate_forward_time: 48.8563308716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4605293274
validation[          , genome  6416] predictions:    6176/  10000 (61.76%), best:    6170/10000 (61.70%), error:     11876.44727, best error:     11765.57129 on epoch:    80, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 691.1574096680s, input_fired_time: 6.2196526527, output_fired_time: 4.6536154747, propagate_forward_time: 246.4390411377, propagate_backward_time: 425.9378051758, weight_update_time: 0.7994031906, other_time: 7.9072875977
epoch time: 51.5919837952s, input_fired_time: 0.7481007576, output_fired_time: 0.0000000000, propagate_forward_time: 49.3843765259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4595069885
validation[          , genome  6416] predictions:    6171/  10000 (61.71%), best:    6170/10000 (61.70%), error:     11858.72461, best error:     11765.57129 on epoch:    80, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 692.3972167969s, input_fired_time: 6.2260470390, output_fired_time: 4.6620388031, propagate_forward_time: 246.9922180176, propagate_backward_time: 426.5999755859, weight_update_time: 0.8006691337, other_time: 7.9169006348
epoch time: 51.0154113770s, input_fired_time: 0.7395623922, output_fired_time: 0.0000000000, propagate_forward_time: 48.8395690918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4362792969
validation[          , genome  6416] predictions:    6143/  10000 (61.43%), best:    6170/10000 (61.70%), error:     11861.93457, best error:     11765.57129 on epoch:    80, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 689.9128417969s, input_fired_time: 6.2056360245, output_fired_time: 4.6833829880, propagate_forward_time: 245.0690917969, propagate_backward_time: 426.0546264648, weight_update_time: 0.7999384403, other_time: 7.9000854492
epoch time: 51.0714416504s, input_fired_time: 0.7422845960, output_fired_time: 0.0000000000, propagate_forward_time: 48.8933830261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4357757568
validation[          , genome  6416] predictions:    6138/  10000 (61.38%), best:    6170/10000 (61.70%), error:     11820.74316, best error:     11765.57129 on epoch:    80, 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: 254.6161346436s, input_fired_time: 3.6508495808, output_fired_time: 0.0000000000, propagate_forward_time: 243.7115478516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2537384033
best training[          , genome  6416] predictions:   39191/  50000 (78.38%), best:    6170/10000 (61.70%), error:     33095.60547, best error:     11765.57129 on epoch:    80, 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: 50.9864540100s, input_fired_time: 0.7315787077, output_fired_time: 0.0000000000, propagate_forward_time: 48.8062248230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4486503601
   testing[          , genome  6416] predictions:    6170/  10000 (61.70%), best:    6170/10000 (61.70%), error:     11765.57129, best error:     11765.57129 on epoch:    80, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
09:23:29 (7688): called boinc_finish(0)

</stderr_txt>
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