Nameexact_genome_1542334203_176_6025_0
Workunit4091943
Created16 Nov 2018, 3:06:45 UTC
Sent16 Nov 2018, 3:15:44 UTC
Report deadline30 Dec 2018, 23:15:08 UTC
Received19 Nov 2018, 15:12:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID75310
Run time17 hours 40 min 47 sec
CPU time17 hours 40 min 28 sec
Validate stateValid
Credit11,208.23
Device peak FLOPS3.28 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size510.35 MB
Peak swap size512.91 MB
Peak disk usage5.59 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_1542334203_176_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_176_6025_0_r258728459_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542334203_176_6025.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: 50
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: 6025
read normal distribution: '1 0 0'
generator_str: '1953441157'
read generator: 1953441157
read generated_by_map:
1 crossover 1
reading 88 nodes.
reading 355 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: 755530363
post shuffle 1: 1599162551
epoch time: 1143.66870117188s, input_fired_time: 8.65046405792236, output_fired_time: 5.47644376754761, propagate_forward_time: 451.448974609375, propagate_backward_time: 665.428649902344, weight_update_time: 1.21045672893524, other_time: 12.6641235351562
epoch time: 93.1708221435547s, input_fired_time: 0.976092100143433, output_fired_time: 0, propagate_forward_time: 90.1083831787109, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.08634948730469
validation[          , genome  6025] predictions:    4546/  10000 (45.46%), best:    4546/10000 (45.46%), error:     21187.47461, best error:     21187.47461 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1142.8918457031s, input_fired_time: 8.5807199478, output_fired_time: 5.4409060478, propagate_forward_time: 452.0275268555, propagate_backward_time: 664.4714355469, weight_update_time: 1.1935726404, other_time: 12.3712768555
epoch time: 93.1340103149s, input_fired_time: 0.9316645265, output_fired_time: 0.0000000000, propagate_forward_time: 90.1249313354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0774154663
validation[          , genome  6025] predictions:    5134/  10000 (51.34%), best:    5134/10000 (51.34%), error:     15469.49707, best error:     15469.49707 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1143.7082519531s, input_fired_time: 8.5389461517, output_fired_time: 5.4656767845, propagate_forward_time: 452.4155273438, propagate_backward_time: 664.8661499023, weight_update_time: 1.1987437010, other_time: 12.4219360352
epoch time: 94.2781219482s, input_fired_time: 0.9572206140, output_fired_time: 0.0000000000, propagate_forward_time: 91.2106933594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1102066040
validation[          , genome  6025] predictions:    5143/  10000 (51.43%), best:    5143/10000 (51.43%), error:     15221.33496, best error:     15221.33496 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1141.1784667969s, input_fired_time: 8.4894142151, output_fired_time: 5.4077734947, propagate_forward_time: 451.4961853027, propagate_backward_time: 663.5575561523, weight_update_time: 1.1897438765, other_time: 12.2276000977
epoch time: 93.0836257935s, input_fired_time: 0.9367910624, output_fired_time: 0.0000000000, propagate_forward_time: 90.0586624146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0881729126
validation[          , genome  6025] predictions:    5330/  10000 (53.30%), best:    5330/10000 (53.30%), error:     14713.35938, best error:     14713.35938 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1143.3583984375s, input_fired_time: 8.4860382080, output_fired_time: 5.4246931076, propagate_forward_time: 452.1494140625, propagate_backward_time: 665.0502319336, weight_update_time: 1.1893016100, other_time: 12.2479858398
epoch time: 93.2854461670s, input_fired_time: 0.9146991372, output_fired_time: 0.0000000000, propagate_forward_time: 90.3331146240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0376358032
validation[          , genome  6025] predictions:    5236/  10000 (52.36%), best:    5330/10000 (53.30%), error:     14877.93848, best error:     14713.35938 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1142.9172363281s, input_fired_time: 8.4758434296, output_fired_time: 5.4370703697, propagate_forward_time: 452.2982177734, propagate_backward_time: 664.3976440430, weight_update_time: 1.1896972656, other_time: 12.3085327148
epoch time: 93.0812377930s, input_fired_time: 0.9119253159, output_fired_time: 0.0000000000, propagate_forward_time: 90.0611495972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1081619263
validation[          , genome  6025] predictions:    5076/  10000 (50.76%), best:    5330/10000 (53.30%), error:     16106.91406, best error:     14713.35938 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1141.1791992188s, input_fired_time: 8.5071678162, output_fired_time: 5.4711203575, propagate_forward_time: 451.6848449707, propagate_backward_time: 663.1809692383, weight_update_time: 1.1913726330, other_time: 12.3351440430
epoch time: 92.4153747559s, input_fired_time: 0.9135790467, output_fired_time: 0.0000000000, propagate_forward_time: 89.4643249512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0374679565
validation[          , genome  6025] predictions:    5098/  10000 (50.98%), best:    5330/10000 (53.30%), error:     15505.17871, best error:     14713.35938 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1139.7290039062s, input_fired_time: 8.4891481400, output_fired_time: 5.4068617821, propagate_forward_time: 450.4629516602, propagate_backward_time: 663.1398925781, weight_update_time: 1.1897851229, other_time: 12.2301635742
epoch time: 92.4784393311s, input_fired_time: 0.9049393535, output_fired_time: 0.0000000000, propagate_forward_time: 89.5422210693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0312805176
validation[          , genome  6025] predictions:    5118/  10000 (51.18%), best:    5330/10000 (53.30%), error:     15378.39355, best error:     14713.35938 on epoch:     3, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1141.6274414062s, input_fired_time: 8.4979228973, output_fired_time: 5.4478721619, propagate_forward_time: 451.2506103516, propagate_backward_time: 664.1522827148, weight_update_time: 1.1924887896, other_time: 12.2787475586
epoch time: 92.8302612305s, input_fired_time: 0.9170552492, output_fired_time: 0.0000000000, propagate_forward_time: 89.8694686890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0437393188
validation[          , genome  6025] predictions:    5207/  10000 (52.07%), best:    5330/10000 (53.30%), error:     15484.28027, best error:     14713.35938 on epoch:     3, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1140.1538085938s, input_fired_time: 8.5155792236, output_fired_time: 5.4320459366, propagate_forward_time: 450.2015075684, propagate_backward_time: 663.6644287109, weight_update_time: 1.1981414557, other_time: 12.3402099609
epoch time: 92.3881454468s, input_fired_time: 0.9188041091, output_fired_time: 0.0000000000, propagate_forward_time: 89.4345779419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0347671509
validation[          , genome  6025] predictions:    5230/  10000 (52.30%), best:    5230/10000 (52.30%), error:     14542.20703, best error:     14542.20703 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1138.8588867188s, input_fired_time: 8.5025739670, output_fired_time: 5.4125623703, propagate_forward_time: 449.6581726074, propagate_backward_time: 662.9443969727, weight_update_time: 1.1900758743, other_time: 12.3411254883
epoch time: 93.5665130615s, input_fired_time: 0.9233511090, output_fired_time: 0.0000000000, propagate_forward_time: 90.6050415039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0381240845
validation[          , genome  6025] predictions:    5313/  10000 (53.13%), best:    5230/10000 (52.30%), error:     14846.69043, best error:     14542.20703 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1145.1723632812s, input_fired_time: 8.5698280334, output_fired_time: 5.5284442902, propagate_forward_time: 452.4508056641, propagate_backward_time: 665.9012451172, weight_update_time: 1.2115019560, other_time: 12.7220458984
epoch time: 92.3863754272s, input_fired_time: 0.9286754727, output_fired_time: 0.0000000000, propagate_forward_time: 89.4211959839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0365066528
validation[          , genome  6025] predictions:    5529/  10000 (55.29%), best:    5529/10000 (55.29%), error:     13594.40430, best error:     13594.40430 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1136.6264648438s, input_fired_time: 8.4791021347, output_fired_time: 5.3936529160, propagate_forward_time: 449.4131164551, propagate_backward_time: 661.3590698242, weight_update_time: 1.1711863279, other_time: 11.9815063477
epoch time: 92.8779373169s, input_fired_time: 0.9134713411, output_fired_time: 0.0000000000, propagate_forward_time: 89.9223403931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0421218872
validation[          , genome  6025] predictions:    5443/  10000 (54.43%), best:    5529/10000 (55.29%), error:     14495.02734, best error:     13594.40430 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1140.5385742188s, input_fired_time: 8.5139389038, output_fired_time: 5.4474763870, propagate_forward_time: 450.5989379883, propagate_backward_time: 663.7036132812, weight_update_time: 1.1888632774, other_time: 12.2745971680
epoch time: 92.0330505371s, input_fired_time: 0.9311853051, output_fired_time: 0.0000000000, propagate_forward_time: 89.0661544800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0357131958
validation[          , genome  6025] predictions:    5311/  10000 (53.11%), best:    5529/10000 (55.29%), error:     14885.14551, best error:     13594.40430 on epoch:    11, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1140.5408935547s, input_fired_time: 8.5435390472, output_fired_time: 5.4516458511, propagate_forward_time: 451.1008605957, propagate_backward_time: 663.0287475586, weight_update_time: 1.1995967627, other_time: 12.4160766602
epoch time: 93.4775848389s, input_fired_time: 0.9425799847, output_fired_time: 0.0000000000, propagate_forward_time: 90.5027084351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0322952271
validation[          , genome  6025] predictions:    5512/  10000 (55.12%), best:    5529/10000 (55.29%), error:     14062.08984, best error:     13594.40430 on epoch:    11, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1144.7069091797s, input_fired_time: 8.5965061188, output_fired_time: 5.5104231834, propagate_forward_time: 452.6268310547, propagate_backward_time: 665.3166503906, weight_update_time: 1.2131774426, other_time: 12.6564941406
epoch time: 93.5504837036s, input_fired_time: 0.9281347990, output_fired_time: 0.0000000000, propagate_forward_time: 90.5338363647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0885162354
validation[          , genome  6025] predictions:    5367/  10000 (53.67%), best:    5529/10000 (55.29%), error:     14477.03223, best error:     13594.40430 on epoch:    11, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1142.3448486328s, input_fired_time: 8.5309324265, output_fired_time: 5.3997831345, propagate_forward_time: 451.8433227539, propagate_backward_time: 664.4354858398, weight_update_time: 1.1867744923, other_time: 12.1353759766
epoch time: 93.8575973511s, input_fired_time: 0.9561100602, output_fired_time: 0.0000000000, propagate_forward_time: 90.7784576416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1230316162
validation[          , genome  6025] predictions:    5229/  10000 (52.29%), best:    5529/10000 (55.29%), error:     14937.88477, best error:     13594.40430 on epoch:    11, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1141.6170654297s, input_fired_time: 8.5513811111, output_fired_time: 5.4766883850, propagate_forward_time: 451.0440979004, propagate_backward_time: 664.0961914062, weight_update_time: 1.1948748827, other_time: 12.4487304688
epoch time: 93.3347091675s, input_fired_time: 0.9560394883, output_fired_time: 0.0000000000, propagate_forward_time: 90.2718811035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1067886353
validation[          , genome  6025] predictions:    5272/  10000 (52.72%), best:    5529/10000 (55.29%), error:     14246.18066, best error:     13594.40430 on epoch:    11, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1143.4938964844s, input_fired_time: 8.5934495926, output_fired_time: 5.4861040115, propagate_forward_time: 452.3733520508, propagate_backward_time: 664.4427490234, weight_update_time: 1.2070045471, other_time: 12.5982055664
epoch time: 93.0624237061s, input_fired_time: 0.9772778749, output_fired_time: 0.0000000000, propagate_forward_time: 89.9435882568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1415557861
validation[          , genome  6025] predictions:    5452/  10000 (54.52%), best:    5452/10000 (54.52%), error:     13524.55762, best error:     13524.55762 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1142.2198486328s, input_fired_time: 8.5698499680, output_fired_time: 5.4036698341, propagate_forward_time: 451.2807922363, propagate_backward_time: 664.7562866211, weight_update_time: 1.1928788424, other_time: 12.2092895508
epoch time: 93.7331008911s, input_fired_time: 0.9386476278, output_fired_time: 0.0000000000, propagate_forward_time: 90.7236251831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0708312988
validation[          , genome  6025] predictions:    5504/  10000 (55.04%), best:    5452/10000 (54.52%), error:     13784.29688, best error:     13524.55762 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1140.5123291016s, input_fired_time: 8.5586471558, output_fired_time: 5.4498043060, propagate_forward_time: 450.5117187500, propagate_backward_time: 663.7491455078, weight_update_time: 1.1892493963, other_time: 12.2430419922
epoch time: 93.4629592896s, input_fired_time: 0.9608352780, output_fired_time: 0.0000000000, propagate_forward_time: 90.3499221802, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1521987915
validation[          , genome  6025] predictions:    5422/  10000 (54.22%), best:    5452/10000 (54.52%), error:     14502.78516, best error:     13524.55762 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1146.3674316406s, input_fired_time: 8.6952400208, output_fired_time: 5.5029497147, propagate_forward_time: 453.4356384277, propagate_backward_time: 666.0778808594, weight_update_time: 1.2248485088, other_time: 12.6557617188
epoch time: 94.3460159302s, input_fired_time: 0.9662018418, output_fired_time: 0.0000000000, propagate_forward_time: 91.2872695923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0925445557
validation[          , genome  6025] predictions:    5615/  10000 (56.15%), best:    5615/10000 (56.15%), error:     13180.94629, best error:     13180.94629 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1144.1701660156s, input_fired_time: 8.6510705948, output_fired_time: 5.4974665642, propagate_forward_time: 451.9468383789, propagate_backward_time: 665.4696655273, weight_update_time: 1.2052314281, other_time: 12.6051025391
epoch time: 93.9797668457s, input_fired_time: 0.9451844096, output_fired_time: 0.0000000000, propagate_forward_time: 90.9569778442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0776062012
validation[          , genome  6025] predictions:    5666/  10000 (56.66%), best:    5615/10000 (56.15%), error:     13188.34180, best error:     13180.94629 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1146.2015380859s, input_fired_time: 8.7451877594, output_fired_time: 5.5202612877, propagate_forward_time: 452.8036804199, propagate_backward_time: 666.3342895508, weight_update_time: 1.2075102329, other_time: 12.7980346680
epoch time: 93.1688690186s, input_fired_time: 0.9477409720, output_fired_time: 0.0000000000, propagate_forward_time: 90.1328430176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0882873535
validation[          , genome  6025] predictions:    5553/  10000 (55.53%), best:    5615/10000 (56.15%), error:     13611.78613, best error:     13180.94629 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1145.7153320312s, input_fired_time: 8.6957664490, output_fired_time: 5.5038747787, propagate_forward_time: 452.3747558594, propagate_backward_time: 666.7274780273, weight_update_time: 1.1959130764, other_time: 12.4133911133
epoch time: 93.3384399414s, input_fired_time: 0.9754608870, output_fired_time: 0.0000000000, propagate_forward_time: 90.2955474854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0674285889
validation[          , genome  6025] predictions:    5542/  10000 (55.42%), best:    5615/10000 (56.15%), error:     13640.00879, best error:     13180.94629 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1143.7695312500s, input_fired_time: 8.7100572586, output_fired_time: 5.4756760597, propagate_forward_time: 451.7886352539, propagate_backward_time: 665.0136108398, weight_update_time: 1.2112095356, other_time: 12.7814941406
epoch time: 93.8977050781s, input_fired_time: 0.9695116282, output_fired_time: 0.0000000000, propagate_forward_time: 90.8539276123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0742645264
validation[          , genome  6025] predictions:    5726/  10000 (57.26%), best:    5726/10000 (57.26%), error:     12964.64355, best error:     12964.64355 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1143.5402832031s, input_fired_time: 8.7124319077, output_fired_time: 5.4263844490, propagate_forward_time: 452.6095275879, propagate_backward_time: 664.4530029297, weight_update_time: 1.1945195198, other_time: 12.3389892578
epoch time: 93.7585525513s, input_fired_time: 0.9643042684, output_fired_time: 0.0000000000, propagate_forward_time: 90.6629638672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1312866211
validation[          , genome  6025] predictions:    5778/  10000 (57.78%), best:    5778/10000 (57.78%), error:     12736.25391, best error:     12736.25391 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1145.0616455078s, input_fired_time: 8.7401361465, output_fired_time: 5.4470191002, propagate_forward_time: 452.3318786621, propagate_backward_time: 666.2368164062, weight_update_time: 1.1876676083, other_time: 12.3057861328
epoch time: 93.0084533691s, input_fired_time: 0.9619237781, output_fired_time: 0.0000000000, propagate_forward_time: 89.9823455811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0641860962
validation[          , genome  6025] predictions:    5671/  10000 (56.71%), best:    5778/10000 (57.78%), error:     13233.02832, best error:     12736.25391 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1141.8378906250s, input_fired_time: 8.7264280319, output_fired_time: 5.4310946465, propagate_forward_time: 451.2616882324, propagate_backward_time: 664.1399536133, weight_update_time: 1.1860322952, other_time: 12.2786254883
epoch time: 94.4652252197s, input_fired_time: 0.9747061133, output_fired_time: 0.0000000000, propagate_forward_time: 91.3995895386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0909271240
validation[          , genome  6025] predictions:    5644/  10000 (56.44%), best:    5778/10000 (57.78%), error:     13000.62891, best error:     12736.25391 on epoch:    26, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1152.6424560547s, input_fired_time: 8.8011865616, output_fired_time: 5.4990358353, propagate_forward_time: 455.8542785645, propagate_backward_time: 669.8182373047, weight_update_time: 1.2054508924, other_time: 12.6697998047
epoch time: 94.6471710205s, input_fired_time: 1.0046271086, output_fired_time: 0.0000000000, propagate_forward_time: 91.4929962158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1495513916
validation[          , genome  6025] predictions:    5851/  10000 (58.51%), best:    5851/10000 (58.51%), error:     12703.07520, best error:     12703.07520 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1145.8312988281s, input_fired_time: 8.8064117432, output_fired_time: 5.4615159035, propagate_forward_time: 453.1698608398, propagate_backward_time: 665.8482666016, weight_update_time: 1.1972377300, other_time: 12.5452270508
epoch time: 93.6052932739s, input_fired_time: 0.9802099466, output_fired_time: 0.0000000000, propagate_forward_time: 90.5473861694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0776977539
validation[          , genome  6025] predictions:    5850/  10000 (58.50%), best:    5850/10000 (58.50%), error:     12501.00488, best error:     12501.00488 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1144.7346191406s, input_fired_time: 8.7492685318, output_fired_time: 5.4442300797, propagate_forward_time: 452.4899291992, propagate_backward_time: 665.5906982422, weight_update_time: 1.1926110983, other_time: 12.4605102539
epoch time: 92.8811340332s, input_fired_time: 0.9560459256, output_fired_time: 0.0000000000, propagate_forward_time: 89.8819198608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0431671143
validation[          , genome  6025] predictions:    5643/  10000 (56.43%), best:    5850/10000 (58.50%), error:     13018.02344, best error:     12501.00488 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1143.0206298828s, input_fired_time: 8.7357149124, output_fired_time: 5.4442439079, propagate_forward_time: 452.4723510742, propagate_backward_time: 664.0257568359, weight_update_time: 1.1889946461, other_time: 12.3425903320
epoch time: 92.5459823608s, input_fired_time: 0.9748044610, output_fired_time: 0.0000000000, propagate_forward_time: 89.5301742554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0410003662
validation[          , genome  6025] predictions:    5767/  10000 (57.67%), best:    5850/10000 (58.50%), error:     12939.69531, best error:     12501.00488 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1141.4655761719s, input_fired_time: 8.7408714294, output_fired_time: 5.4269003868, propagate_forward_time: 451.0221862793, propagate_backward_time: 663.8442993164, weight_update_time: 1.1976211071, other_time: 12.4313354492
epoch time: 93.3156890869s, input_fired_time: 0.9696861506, output_fired_time: 0.0000000000, propagate_forward_time: 90.2812652588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0647354126
validation[          , genome  6025] predictions:    5876/  10000 (58.76%), best:    5850/10000 (58.50%), error:     12509.53613, best error:     12501.00488 on epoch:    30, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1144.9747314453s, input_fired_time: 8.8333482742, output_fired_time: 5.4720158577, propagate_forward_time: 452.5251770020, propagate_backward_time: 665.6225585938, weight_update_time: 1.2002446651, other_time: 12.5216064453
epoch time: 93.8862686157s, input_fired_time: 0.9993823171, output_fired_time: 0.0000000000, propagate_forward_time: 90.7600250244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1268615723
validation[          , genome  6025] predictions:    5950/  10000 (59.50%), best:    5950/10000 (59.50%), error:     12312.92871, best error:     12312.92871 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1142.1214599609s, input_fired_time: 8.7501268387, output_fired_time: 5.4657959938, propagate_forward_time: 450.1697692871, propagate_backward_time: 665.1439819336, weight_update_time: 1.2042561769, other_time: 12.5917358398
epoch time: 93.7802810669s, input_fired_time: 0.9782603979, output_fired_time: 0.0000000000, propagate_forward_time: 90.7309646606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0710525513
validation[          , genome  6025] predictions:    5681/  10000 (56.81%), best:    5950/10000 (59.50%), error:     13185.38965, best error:     12312.92871 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1142.4570312500s, input_fired_time: 8.7764978409, output_fired_time: 5.4381732941, propagate_forward_time: 451.8945617676, propagate_backward_time: 664.1359252930, weight_update_time: 1.1841200590, other_time: 12.2118530273
epoch time: 93.7845840454s, input_fired_time: 0.9946695566, output_fired_time: 0.0000000000, propagate_forward_time: 90.7351303101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0547866821
validation[          , genome  6025] predictions:    5884/  10000 (58.84%), best:    5884/10000 (58.84%), error:     12303.65918, best error:     12303.65918 on epoch:    36, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1143.5906982422s, input_fired_time: 8.8012533188, output_fired_time: 5.4965682030, propagate_forward_time: 451.7413024902, propagate_backward_time: 664.9861450195, weight_update_time: 1.2027462721, other_time: 12.5653686523
epoch time: 94.3562698364s, input_fired_time: 0.9979090691, output_fired_time: 0.0000000000, propagate_forward_time: 91.2039718628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1543884277
validation[          , genome  6025] predictions:    5812/  10000 (58.12%), best:    5884/10000 (58.84%), error:     12964.81348, best error:     12303.65918 on epoch:    36, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1140.0118408203s, input_fired_time: 8.7623081207, output_fired_time: 5.3965663910, propagate_forward_time: 450.6693420410, propagate_backward_time: 662.9796752930, weight_update_time: 1.1831686497, other_time: 12.2039184570
epoch time: 92.8187103271s, input_fired_time: 0.9849401116, output_fired_time: 0.0000000000, propagate_forward_time: 89.7853469849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0484237671
validation[          , genome  6025] predictions:    5956/  10000 (59.56%), best:    5956/10000 (59.56%), error:     12087.07812, best error:     12087.07812 on epoch:    38, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1146.0444335938s, input_fired_time: 8.7842283249, output_fired_time: 5.4729876518, propagate_forward_time: 452.1021728516, propagate_backward_time: 667.2976074219, weight_update_time: 1.1962276697, other_time: 12.3874511719
epoch time: 93.7406234741s, input_fired_time: 0.9820169210, output_fired_time: 0.0000000000, propagate_forward_time: 90.6708908081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0877151489
validation[          , genome  6025] predictions:    5856/  10000 (58.56%), best:    5956/10000 (59.56%), error:     12640.05176, best error:     12087.07812 on epoch:    38, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1139.9498291016s, input_fired_time: 8.7910232544, output_fired_time: 5.3783702850, propagate_forward_time: 451.0084228516, propagate_backward_time: 662.6651000977, weight_update_time: 1.1809887886, other_time: 12.1068725586
epoch time: 93.8941650391s, input_fired_time: 0.9967272282, output_fired_time: 0.0000000000, propagate_forward_time: 90.8289947510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0684432983
validation[          , genome  6025] predictions:    5907/  10000 (59.07%), best:    5956/10000 (59.56%), error:     12376.02148, best error:     12087.07812 on epoch:    38, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1144.4777832031s, input_fired_time: 8.8035001755, output_fired_time: 5.4650192261, propagate_forward_time: 452.1461181641, propagate_backward_time: 665.5424804688, weight_update_time: 1.2008037567, other_time: 12.5207519531
epoch time: 93.6823577881s, input_fired_time: 0.9915093780, output_fired_time: 0.0000000000, propagate_forward_time: 90.6374282837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0534210205
validation[          , genome  6025] predictions:    5710/  10000 (57.10%), best:    5956/10000 (59.56%), error:     13252.48828, best error:     12087.07812 on epoch:    38, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1146.3804931641s, input_fired_time: 8.9246625900, output_fired_time: 5.5013012886, propagate_forward_time: 452.6091613770, propagate_backward_time: 666.8052368164, weight_update_time: 1.1998368502, other_time: 12.5401000977
epoch time: 93.7827072144s, input_fired_time: 0.9864579439, output_fired_time: 0.0000000000, propagate_forward_time: 90.7319869995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0642623901
validation[          , genome  6025] predictions:    5838/  10000 (58.38%), best:    5956/10000 (59.56%), error:     12365.17969, best error:     12087.07812 on epoch:    38, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1144.1721191406s, input_fired_time: 8.8212337494, output_fired_time: 5.4277315140, propagate_forward_time: 452.7720947266, propagate_backward_time: 664.7533569336, weight_update_time: 1.1924630404, other_time: 12.3976440430
epoch time: 94.0312957764s, input_fired_time: 0.9855116606, output_fired_time: 0.0000000000, propagate_forward_time: 90.9620056152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0837783813
validation[          , genome  6025] predictions:    5884/  10000 (58.84%), best:    5956/10000 (59.56%), error:     12446.15527, best error:     12087.07812 on epoch:    38, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1142.9948730469s, input_fired_time: 8.8982629776, output_fired_time: 5.4499058723, propagate_forward_time: 452.1914672852, propagate_backward_time: 664.0521240234, weight_update_time: 1.1924633980, other_time: 12.4030151367
epoch time: 93.1835250854s, input_fired_time: 1.0043112040, output_fired_time: 0.0000000000, propagate_forward_time: 90.1188964844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0603179932
validation[          , genome  6025] predictions:    5728/  10000 (57.28%), best:    5956/10000 (59.56%), error:     13000.00195, best error:     12087.07812 on epoch:    38, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1140.3961181641s, input_fired_time: 8.8376569748, output_fired_time: 5.3980326653, propagate_forward_time: 450.8244323730, propagate_backward_time: 663.2108764648, weight_update_time: 1.1835681200, other_time: 12.1250610352
epoch time: 92.8055572510s, input_fired_time: 0.9760326147, output_fired_time: 0.0000000000, propagate_forward_time: 89.7606811523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0688400269
validation[          , genome  6025] predictions:    5757/  10000 (57.57%), best:    5956/10000 (59.56%), error:     12925.50879, best error:     12087.07812 on epoch:    38, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1147.3391113281s, input_fired_time: 8.9067153931, output_fired_time: 5.4763031006, propagate_forward_time: 452.8878173828, propagate_backward_time: 667.5791625977, weight_update_time: 1.2020540237, other_time: 12.4890747070
epoch time: 93.4712524414s, input_fired_time: 1.0128531456, output_fired_time: 0.0000000000, propagate_forward_time: 90.3622055054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0961914062
validation[          , genome  6025] predictions:    5942/  10000 (59.42%), best:    5956/10000 (59.56%), error:     12485.12012, best error:     12087.07812 on epoch:    38, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1147.8239746094s, input_fired_time: 8.9298410416, output_fired_time: 5.4876637459, propagate_forward_time: 453.0339355469, propagate_backward_time: 667.8641967773, weight_update_time: 1.1975356340, other_time: 12.5083618164
epoch time: 93.2906417847s, input_fired_time: 0.9848817587, output_fired_time: 0.0000000000, propagate_forward_time: 90.2228393555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0829238892
validation[          , genome  6025] predictions:    5828/  10000 (58.28%), best:    5956/10000 (59.56%), error:     12609.76465, best error:     12087.07812 on epoch:    38, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1147.5976562500s, input_fired_time: 8.9437332153, output_fired_time: 5.4784660339, propagate_forward_time: 453.2062377930, propagate_backward_time: 667.4978637695, weight_update_time: 1.2047017813, other_time: 12.4713134766
epoch time: 93.2972640991s, input_fired_time: 0.9972765446, output_fired_time: 0.0000000000, propagate_forward_time: 90.2077178955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0922698975
validation[          , genome  6025] predictions:    5908/  10000 (59.08%), best:    5956/10000 (59.56%), error:     12275.60742, best error:     12087.07812 on epoch:    38, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1142.5096435547s, input_fired_time: 8.9070301056, output_fired_time: 5.4350957870, propagate_forward_time: 451.2755126953, propagate_backward_time: 664.5823364258, weight_update_time: 1.1917327642, other_time: 12.3097534180
epoch time: 93.0930404663s, input_fired_time: 0.9934010506, output_fired_time: 0.0000000000, propagate_forward_time: 90.0032577515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0963821411
validation[          , genome  6025] predictions:    5889/  10000 (58.89%), best:    5956/10000 (59.56%), error:     12355.41992, best error:     12087.07812 on epoch:    38, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1143.7122802734s, input_fired_time: 8.8984642029, output_fired_time: 5.4621438980, propagate_forward_time: 452.3235778809, propagate_backward_time: 664.7006835938, weight_update_time: 1.1869933605, other_time: 12.3273925781
epoch time: 93.9490509033s, input_fired_time: 1.0076075792, output_fired_time: 0.0000000000, propagate_forward_time: 90.8556976318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0857467651
validation[          , genome  6025] predictions:    5972/  10000 (59.72%), best:    5956/10000 (59.56%), error:     12134.53711, best error:     12087.07812 on epoch:    38, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 468.3625183105s, input_fired_time: 4.9923677444, output_fired_time: 0.0000000000, propagate_forward_time: 452.8225708008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5475769043
best training[          , genome  6025] predictions:   34686/  50000 (69.37%), best:    5956/10000 (59.56%), error:     43808.33594, best error:     12087.07812 on epoch:    38, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 94.0882186890s, input_fired_time: 0.9985502958, output_fired_time: 0.0000000000, propagate_forward_time: 91.0019226074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0877456665
   testing[          , genome  6025] predictions:    5956/  10000 (59.56%), best:    5956/10000 (59.56%), error:     12087.07812, best error:     12087.07812 on epoch:    38, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
08:24:43 (26151): called boinc_finish(0)

</stderr_txt>
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