Nameexact_genome_1542495604_167_6219_2
Workunit4096712
Created20 Nov 2018, 16:22:26 UTC
Sent20 Nov 2018, 16:22:26 UTC
Report deadline14 Dec 2018, 11:05:57 UTC
Received21 Nov 2018, 3:35:50 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID84860
Run time9 hours 50 min 20 sec
CPU time9 hours 43 min 30 sec
Validate stateValid
Credit5,945.06
Device peak FLOPS4.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size506.18 MB
Peak swap size508.92 MB
Peak disk usage5.44 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
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/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_1542495604_167_6219.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6219_2_r1443894329_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6219.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 6219
read normal distribution: '1 0 0'
generator_str: '73407293'
read generator: 73407293
read generated_by_map:
1 disable_edge 1
reading 80 nodes.
reading 333 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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: 0.0684280395507812
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1100760073
post shuffle 1: 1559885146
epoch time: 1235.67980957031s, input_fired_time: 6.45251750946045, output_fired_time: 4.88321304321289, propagate_forward_time: 476.314086914062, propagate_backward_time: 738.923095703125, weight_update_time: 0.779243469238281, other_time: 9.10693359375
epoch time: 97.1772537231445s, input_fired_time: 0.666622757911682, output_fired_time: 0, propagate_forward_time: 94.9581756591797, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.55245208740234
validation[          , genome  6219] predictions:    4789/  10000 (47.89%), best:    4789/10000 (47.89%), error:     18437.51758, best error:     18437.51758 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1237.7254638672s, input_fired_time: 6.3733124733, output_fired_time: 4.9142293930, propagate_forward_time: 474.5416564941, propagate_backward_time: 742.9641113281, weight_update_time: 0.7551408410, other_time: 8.9322509766
epoch time: 96.6544036865s, input_fired_time: 0.6438260078, output_fired_time: 0.0000000000, propagate_forward_time: 94.4425125122, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5680618286
validation[          , genome  6219] predictions:    4864/  10000 (48.64%), best:    4864/10000 (48.64%), error:     16173.06445, best error:     16173.06445 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1225.3245849609s, input_fired_time: 6.3157138824, output_fired_time: 4.8902497292, propagate_forward_time: 468.2956848145, propagate_backward_time: 736.8799438477, weight_update_time: 0.7651434541, other_time: 8.9430541992
epoch time: 95.8374404907s, input_fired_time: 0.6275259256, output_fired_time: 0.0000000000, propagate_forward_time: 93.7197875977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4901275635
validation[          , genome  6219] predictions:    4931/  10000 (49.31%), best:    4864/10000 (48.64%), error:     16276.62598, best error:     16173.06445 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1233.9171142578s, input_fired_time: 6.3859233856, output_fired_time: 4.9006195068, propagate_forward_time: 475.6670227051, propagate_backward_time: 737.8967895508, weight_update_time: 0.7780282497, other_time: 9.0668334961
epoch time: 97.5574874878s, input_fired_time: 0.6523031592, output_fired_time: 0.0000000000, propagate_forward_time: 95.3837966919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5213851929
validation[          , genome  6219] predictions:    4998/  10000 (49.98%), best:    4998/10000 (49.98%), error:     15886.84961, best error:     15886.84961 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1239.0587158203s, input_fired_time: 6.3627400398, output_fired_time: 4.9193816185, propagate_forward_time: 476.9468383789, propagate_backward_time: 741.8074951172, weight_update_time: 0.7679545879, other_time: 9.0221557617
epoch time: 97.8078231812s, input_fired_time: 0.7101315856, output_fired_time: 0.0000000000, propagate_forward_time: 95.4899978638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6076965332
validation[          , genome  6219] predictions:    4989/  10000 (49.89%), best:    4998/10000 (49.98%), error:     16259.34473, best error:     15886.84961 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1226.3548583984s, input_fired_time: 6.4448099136, output_fired_time: 4.8684415817, propagate_forward_time: 474.4693908691, propagate_backward_time: 731.3927001953, weight_update_time: 0.7841507792, other_time: 9.1795654297
epoch time: 94.9800415039s, input_fired_time: 0.6762799621, output_fired_time: 0.0000000000, propagate_forward_time: 92.7202758789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5834884644
validation[          , genome  6219] predictions:    5116/  10000 (51.16%), best:    5116/10000 (51.16%), error:     15650.00000, best error:     15650.00000 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1240.5490722656s, input_fired_time: 6.4322681427, output_fired_time: 4.9062323570, propagate_forward_time: 480.1538085938, propagate_backward_time: 739.7234497070, weight_update_time: 0.7928704619, other_time: 9.3333129883
epoch time: 96.9387283325s, input_fired_time: 0.6476107240, output_fired_time: 0.0000000000, propagate_forward_time: 94.7189483643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5721664429
validation[          , genome  6219] predictions:    5006/  10000 (50.06%), best:    5006/10000 (50.06%), error:     15363.20508, best error:     15363.20508 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1237.7906494141s, input_fired_time: 6.3099312782, output_fired_time: 4.9185156822, propagate_forward_time: 475.6761474609, propagate_backward_time: 741.7317504883, weight_update_time: 0.7737100124, other_time: 9.1543579102
epoch time: 93.8877258301s, input_fired_time: 0.6524604559, output_fired_time: 0.0000000000, propagate_forward_time: 91.7784652710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4568023682
validation[          , genome  6219] predictions:    5018/  10000 (50.18%), best:    5006/10000 (50.06%), error:     16632.40820, best error:     15363.20508 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1210.3562011719s, input_fired_time: 6.2777214050, output_fired_time: 4.8632860184, propagate_forward_time: 462.9904785156, propagate_backward_time: 727.4538574219, weight_update_time: 0.7603208423, other_time: 8.7708740234
epoch time: 91.0653915405s, input_fired_time: 0.6493939757, output_fired_time: 0.0000000000, propagate_forward_time: 88.9517669678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4642333984
validation[          , genome  6219] predictions:    5051/  10000 (50.51%), best:    5006/10000 (50.06%), error:     15683.16895, best error:     15363.20508 on epoch:     6, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1202.8808593750s, input_fired_time: 6.3547930717, output_fired_time: 4.7691025734, propagate_forward_time: 461.2521057129, propagate_backward_time: 721.7303466797, weight_update_time: 0.7509673238, other_time: 8.7746582031
epoch time: 88.8983459473s, input_fired_time: 0.6738926172, output_fired_time: 0.0000000000, propagate_forward_time: 86.8066253662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4178314209
validation[          , genome  6219] predictions:    5239/  10000 (52.39%), best:    5239/10000 (52.39%), error:     15051.66113, best error:     15051.66113 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1201.3173828125s, input_fired_time: 6.3281946182, output_fired_time: 4.8310427666, propagate_forward_time: 457.4231567383, propagate_backward_time: 724.2875366211, weight_update_time: 0.7428331375, other_time: 8.4473876953
epoch time: 97.9815139771s, input_fired_time: 0.6700929999, output_fired_time: 0.0000000000, propagate_forward_time: 95.7437667847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5676574707
validation[          , genome  6219] predictions:    5131/  10000 (51.31%), best:    5131/10000 (51.31%), error:     14915.31641, best error:     14915.31641 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1227.9294433594s, input_fired_time: 6.5793895721, output_fired_time: 4.8916811943, propagate_forward_time: 470.4961547852, propagate_backward_time: 737.0957641602, weight_update_time: 0.7700157762, other_time: 8.8664550781
epoch time: 99.3496551514s, input_fired_time: 0.6925576925, output_fired_time: 0.0000000000, propagate_forward_time: 97.0622100830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5948867798
validation[          , genome  6219] predictions:    5129/  10000 (51.29%), best:    5131/10000 (51.31%), error:     15248.16602, best error:     14915.31641 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1229.7371826172s, input_fired_time: 6.5891923904, output_fired_time: 4.8868832588, propagate_forward_time: 472.6019287109, propagate_backward_time: 736.7532348633, weight_update_time: 0.7728914618, other_time: 8.9059448242
epoch time: 93.1828384399s, input_fired_time: 0.6720017791, output_fired_time: 0.0000000000, propagate_forward_time: 91.0415649414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4692687988
validation[          , genome  6219] predictions:    5027/  10000 (50.27%), best:    5131/10000 (51.31%), error:     16043.41113, best error:     14915.31641 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1236.3789062500s, input_fired_time: 6.5890378952, output_fired_time: 4.9388031960, propagate_forward_time: 475.1554870605, propagate_backward_time: 740.7349853516, weight_update_time: 0.7783468366, other_time: 8.9605712891
epoch time: 96.0339736938s, input_fired_time: 0.6627305746, output_fired_time: 0.0000000000, propagate_forward_time: 93.8911743164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4800720215
validation[          , genome  6219] predictions:    5452/  10000 (54.52%), best:    5452/10000 (54.52%), error:     13876.70117, best error:     13876.70117 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1250.0715332031s, input_fired_time: 6.6460914612, output_fired_time: 4.9854745865, propagate_forward_time: 480.4339294434, propagate_backward_time: 748.9661865234, weight_update_time: 0.7904589176, other_time: 9.0397949219
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/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_1542495604_167_6219.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6219_2_r1443894329_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: 0.751039
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00609594
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000243837
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: 14
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 13
read number_validation_images: 10000
read best_validation_predictions: 5452
read best_validation_error: 13876.7
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: 6219
read normal distribution: '1 0 0'
generator_str: '728113557'
read generator: 728113557
read generated_by_map:
1 disable_edge 1
reading 80 nodes.
reading 333 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: 0.0684280395507812
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: 1232.50463867188s, input_fired_time: 6.58472394943237, output_fired_time: 4.87744855880737, propagate_forward_time: 472.238067626953, propagate_backward_time: 739.996765136719, weight_update_time: 0.752800345420837, other_time: 8.80767822265625
epoch time: 99.2723236083984s, input_fired_time: 0.730591654777527, output_fired_time: 0, propagate_forward_time: 97.0141754150391, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.52755737304688
validation[          , genome  6219] predictions:    5103/  10000 (51.03%), best:    5452/10000 (54.52%), error:     15712.06152, best error:     13876.70117 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1255.0686035156s, input_fired_time: 6.6641812325, output_fired_time: 5.0004076958, propagate_forward_time: 484.7574157715, propagate_backward_time: 749.3699340820, weight_update_time: 0.7771986127, other_time: 9.2766723633
epoch time: 97.7465591431s, input_fired_time: 0.7082670331, output_fired_time: 0.0000000000, propagate_forward_time: 95.4380645752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6002273560
validation[          , genome  6219] predictions:    5489/  10000 (54.89%), best:    5489/10000 (54.89%), error:     13821.23340, best error:     13821.23340 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1239.2526855469s, input_fired_time: 6.6626119614, output_fired_time: 4.9991769791, propagate_forward_time: 479.7137145996, propagate_backward_time: 738.4440917969, weight_update_time: 0.8130546808, other_time: 9.4331054688
epoch time: 101.6090545654s, input_fired_time: 0.7000989914, output_fired_time: 0.0000000000, propagate_forward_time: 99.2485504150, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6604080200
validation[          , genome  6219] predictions:    5476/  10000 (54.76%), best:    5489/10000 (54.89%), error:     14257.73047, best error:     13821.23340 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1263.5321044922s, input_fired_time: 6.6891794205, output_fired_time: 4.9679021835, propagate_forward_time: 493.9857788086, propagate_backward_time: 748.0453491211, weight_update_time: 0.8165926933, other_time: 9.8438720703
epoch time: 100.0127105713s, input_fired_time: 0.7163141370, output_fired_time: 0.0000000000, propagate_forward_time: 97.6256561279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6707382202
validation[          , genome  6219] predictions:    5363/  10000 (53.63%), best:    5489/10000 (54.89%), error:     14501.20703, best error:     13821.23340 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1291.2117919922s, input_fired_time: 6.9558925629, output_fired_time: 5.1179957390, propagate_forward_time: 505.0937500000, propagate_backward_time: 763.9030151367, weight_update_time: 0.8472391963, other_time: 10.1410522461
epoch time: 103.2176818848s, input_fired_time: 0.7521422505, output_fired_time: 0.0000000000, propagate_forward_time: 100.7366561890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7288818359
validation[          , genome  6219] predictions:    5396/  10000 (53.96%), best:    5489/10000 (54.89%), error:     14013.81934, best error:     13821.23340 on epoch:    15, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1231.9852294922s, input_fired_time: 6.7406101227, output_fired_time: 4.9806461334, propagate_forward_time: 476.6153869629, propagate_backward_time: 733.9119873047, weight_update_time: 0.8335168362, other_time: 9.7366943359
epoch time: 96.0159912109s, input_fired_time: 0.6607761383, output_fired_time: 0.0000000000, propagate_forward_time: 93.7849502563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5702667236
validation[          , genome  6219] predictions:    5610/  10000 (56.10%), best:    5610/10000 (56.10%), error:     13247.35645, best error:     13247.35645 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1246.8260498047s, input_fired_time: 6.3679528236, output_fired_time: 4.9808092117, propagate_forward_time: 472.4968872070, propagate_backward_time: 753.6496582031, weight_update_time: 0.7930969596, other_time: 9.3307495117
epoch time: 105.0757369995s, input_fired_time: 0.7389624715, output_fired_time: 0.0000000000, propagate_forward_time: 102.5562133789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7805633545
validation[          , genome  6219] predictions:    5291/  10000 (52.91%), best:    5610/10000 (56.10%), error:     14519.12402, best error:     13247.35645 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1263.4594726562s, input_fired_time: 6.7893104553, output_fired_time: 4.9850554466, propagate_forward_time: 502.3588256836, propagate_backward_time: 739.0920410156, weight_update_time: 0.8577809930, other_time: 10.2341918945
epoch time: 104.7406921387s, input_fired_time: 0.7653887868, output_fired_time: 0.0000000000, propagate_forward_time: 102.1873168945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7879867554
validation[          , genome  6219] predictions:    5541/  10000 (55.41%), best:    5610/10000 (56.10%), error:     13351.33105, best error:     13247.35645 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1303.7211914062s, input_fired_time: 6.8873891830, output_fired_time: 5.1668000221, propagate_forward_time: 517.0610961914, propagate_backward_time: 764.2232666016, weight_update_time: 0.8765355945, other_time: 10.3827514648
epoch time: 109.6236114502s, input_fired_time: 0.7853178978, output_fired_time: 0.0000000000, propagate_forward_time: 106.9715042114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8667907715
validation[          , genome  6219] predictions:    5454/  10000 (54.54%), best:    5610/10000 (56.10%), error:     14021.21777, best error:     13247.35645 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1267.3426513672s, input_fired_time: 6.7238187790, output_fired_time: 4.9989147186, propagate_forward_time: 498.6744079590, propagate_backward_time: 746.8778076172, weight_update_time: 0.8445972800, other_time: 10.0676269531
epoch time: 95.8495178223s, input_fired_time: 0.6810018420, output_fired_time: 0.0000000000, propagate_forward_time: 93.5469055176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6216125488
validation[          , genome  6219] predictions:    5573/  10000 (55.73%), best:    5610/10000 (56.10%), error:     13486.07324, best error:     13247.35645 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1264.0810546875s, input_fired_time: 6.6866927147, output_fired_time: 4.9675951004, propagate_forward_time: 492.1296691895, propagate_backward_time: 750.3905639648, weight_update_time: 0.8324081898, other_time: 9.9065551758
epoch time: 95.5534515381s, input_fired_time: 0.6645300984, output_fired_time: 0.0000000000, propagate_forward_time: 93.3130874634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5758361816
validation[          , genome  6219] predictions:    5709/  10000 (57.09%), best:    5610/10000 (56.10%), error:     13341.47266, best error:     13247.35645 on epoch:    19, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1221.1343994141s, input_fired_time: 6.6470298767, output_fired_time: 4.9302816391, propagate_forward_time: 477.5480346680, propagate_backward_time: 722.3782348633, weight_update_time: 0.8293849230, other_time: 9.6308593750
epoch time: 98.8669662476s, input_fired_time: 0.7539001703, output_fired_time: 0.0000000000, propagate_forward_time: 96.4820938110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6309738159
validation[          , genome  6219] predictions:    5583/  10000 (55.83%), best:    5610/10000 (56.10%), error:     13417.68652, best error:     13247.35645 on epoch:    19, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 499.1758117676s, input_fired_time: 3.6254501343, output_fired_time: 0.0000000000, propagate_forward_time: 487.2103881836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.3399658203
best training[          , genome  6219] predictions:   30906/  50000 (61.81%), best:    5610/10000 (56.10%), error:     56306.57422, best error:     13247.35645 on epoch:    19, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 95.3866195679s, input_fired_time: 0.6538038254, output_fired_time: 0.0000000000, propagate_forward_time: 93.2240524292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5087661743
   testing[          , genome  6219] predictions:    5610/  10000 (56.10%), best:    5610/10000 (56.10%), error:     13247.35645, best error:     13247.35645 on epoch:    19, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
21:35:10 (2955): called boinc_finish(0)

</stderr_txt>
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