Nameexact_genome_1542692703_167_6372_3
Workunit4100373
Created20 Nov 2018, 7:44:59 UTC
Sent20 Nov 2018, 8:25:26 UTC
Report deadline17 Dec 2018, 13:12:00 UTC
Received23 Nov 2018, 14:44:09 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time10 hours 19 min 29 sec
CPU time10 hours 14 min 39 sec
Validate stateValid
Credit6,799.75
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size514.90 MB
Peak swap size512.87 MB
Peak disk usage11.59 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
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_1542692703_167_6372.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6372_3_r521279522_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6372.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: 6372
read normal distribution: '1 0 0'
generator_str: '336300920'
read generator: 336300920
read generated_by_map:
1 enable_edge 1
reading 87 nodes.
reading 374 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: 0.0684280395507813
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 32603536
post shuffle 1: 1630906637
epoch time: 1299.658203125s, input_fired_time: 7.26269578933716, output_fired_time: 7.05210447311401, propagate_forward_time: 495.606079101563, propagate_backward_time: 779.46875, weight_update_time: 1.15933346748352, other_time: 10.2685546875
epoch time: 101.445213317871s, input_fired_time: 0.88300609588623, output_fired_time: 0, propagate_forward_time: 98.7967147827148, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.76549530029297
validation[          , genome  6372] predictions:    5099/  10000 (50.99%), best:    5099/10000 (50.99%), error:     16420.42383, best error:     16420.42383 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1300.0944824219s, input_fired_time: 7.2386217117, output_fired_time: 6.9991335869, propagate_forward_time: 496.0455322266, propagate_backward_time: 779.5439453125, weight_update_time: 1.1667265892, other_time: 10.2672119141
epoch time: 101.7216567993s, input_fired_time: 0.8843017220, output_fired_time: 0.0000000000, propagate_forward_time: 99.0809173584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7564392090
validation[          , genome  6372] predictions:    4925/  10000 (49.25%), best:    5099/10000 (50.99%), error:     17194.04297, best error:     16420.42383 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1299.3563232422s, input_fired_time: 7.1889286041, output_fired_time: 6.9986290932, propagate_forward_time: 495.4085083008, propagate_backward_time: 779.5068969727, weight_update_time: 1.1626014709, other_time: 10.2532958984
epoch time: 102.3616714478s, input_fired_time: 0.8821037412, output_fired_time: 0.0000000000, propagate_forward_time: 99.7123336792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7672348022
validation[          , genome  6372] predictions:    4820/  10000 (48.20%), best:    5099/10000 (50.99%), error:     16839.73633, best error:     16420.42383 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1299.8854980469s, input_fired_time: 7.1834669113, output_fired_time: 7.0018901825, propagate_forward_time: 495.7793884277, propagate_backward_time: 779.6282958984, weight_update_time: 1.1582415104, other_time: 10.2924804688
epoch time: 101.6635589600s, input_fired_time: 0.8792612553, output_fired_time: 0.0000000000, propagate_forward_time: 99.0137329102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7705612183
validation[          , genome  6372] predictions:    5168/  10000 (51.68%), best:    5168/10000 (51.68%), error:     15136.09375, best error:     15136.09375 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1301.2197265625s, input_fired_time: 7.1959986687, output_fired_time: 7.0052142143, propagate_forward_time: 495.9205322266, propagate_backward_time: 780.8255004883, weight_update_time: 1.1633055210, other_time: 10.2723999023
epoch time: 101.5462265015s, input_fired_time: 0.8739555478, output_fired_time: 0.0000000000, propagate_forward_time: 98.9048080444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7674636841
validation[          , genome  6372] predictions:    5097/  10000 (50.97%), best:    5168/10000 (51.68%), error:     16002.38867, best error:     15136.09375 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1300.8336181641s, input_fired_time: 7.1742763519, output_fired_time: 7.0115394592, propagate_forward_time: 495.5515747070, propagate_backward_time: 780.8395385742, weight_update_time: 1.1598818302, other_time: 10.2565917969
epoch time: 111.2000045776s, input_fired_time: 0.9463797212, output_fired_time: 0.0000000000, propagate_forward_time: 108.4148483276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8387756348
validation[          , genome  6372] predictions:    5051/  10000 (50.51%), best:    5168/10000 (51.68%), error:     16322.57813, best error:     15136.09375 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1318.3814697266s, input_fired_time: 7.2482867241, output_fired_time: 7.0886082649, propagate_forward_time: 502.2751159668, propagate_backward_time: 791.4160766602, weight_update_time: 1.1673871279, other_time: 10.3533325195
epoch time: 101.7940902710s, input_fired_time: 0.8785188794, output_fired_time: 0.0000000000, propagate_forward_time: 99.1582565308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7573165894
validation[          , genome  6372] predictions:    5226/  10000 (52.26%), best:    5226/10000 (52.26%), error:     14902.84766, best error:     14902.84766 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1301.5242919922s, input_fired_time: 7.1622457504, output_fired_time: 7.0043892860, propagate_forward_time: 496.2791442871, propagate_backward_time: 780.8147583008, weight_update_time: 1.1582974195, other_time: 10.2637329102
epoch time: 101.7409210205s, input_fired_time: 0.8808919191, output_fired_time: 0.0000000000, propagate_forward_time: 99.0959167480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7641143799
validation[          , genome  6372] predictions:    5261/  10000 (52.61%), best:    5261/10000 (52.61%), error:     14651.46973, best error:     14651.46973 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1303.8035888672s, input_fired_time: 7.1873149872, output_fired_time: 6.9768357277, propagate_forward_time: 497.5079040527, propagate_backward_time: 781.8223876953, weight_update_time: 1.1629432440, other_time: 10.3092041016
epoch time: 102.0537796021s, input_fired_time: 0.8642046452, output_fired_time: 0.0000000000, propagate_forward_time: 99.4314651489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7581100464
validation[          , genome  6372] predictions:    5064/  10000 (50.64%), best:    5261/10000 (52.61%), error:     15568.84668, best error:     14651.46973 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1302.3748779297s, input_fired_time: 7.1934666634, output_fired_time: 7.0001134872, propagate_forward_time: 496.1888732910, propagate_backward_time: 781.6552124023, weight_update_time: 1.1756908894, other_time: 10.3372192383
epoch time: 101.6209945679s, input_fired_time: 0.8685657978, output_fired_time: 0.0000000000, propagate_forward_time: 98.9909515381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7614746094
validation[          , genome  6372] predictions:    5208/  10000 (52.08%), best:    5261/10000 (52.61%), error:     14752.14453, best error:     14651.46973 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1304.1124267578s, input_fired_time: 7.1920270920, output_fired_time: 7.0077071190, propagate_forward_time: 497.0601501465, propagate_backward_time: 782.5216674805, weight_update_time: 1.1662408113, other_time: 10.3308715820
epoch time: 101.6545104980s, input_fired_time: 0.8795815706, output_fired_time: 0.0000000000, propagate_forward_time: 99.0179443359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7569808960
validation[          , genome  6372] predictions:    5455/  10000 (54.55%), best:    5455/10000 (54.55%), error:     13980.08789, best error:     13980.08789 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1300.6856689453s, input_fired_time: 7.1991167068, output_fired_time: 7.0007019043, propagate_forward_time: 495.7822875977, propagate_backward_time: 780.4287109375, weight_update_time: 1.1642215252, other_time: 10.2748413086
epoch time: 101.9504623413s, input_fired_time: 0.8790161610, output_fired_time: 0.0000000000, propagate_forward_time: 99.3091049194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7623443604
validation[          , genome  6372] predictions:    5173/  10000 (51.73%), best:    5455/10000 (54.55%), error:     14705.40039, best error:     13980.08789 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1301.3370361328s, input_fired_time: 7.2165651321, output_fired_time: 7.0221161842, propagate_forward_time: 495.8645324707, propagate_backward_time: 780.9611816406, weight_update_time: 1.1620826721, other_time: 10.2727050781
epoch time: 101.8564376831s, input_fired_time: 0.8614420891, output_fired_time: 0.0000000000, propagate_forward_time: 99.2396163940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7553787231
validation[          , genome  6372] predictions:    5351/  10000 (53.51%), best:    5455/10000 (54.55%), error:     14233.11719, best error:     13980.08789 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1302.1513671875s, input_fired_time: 7.1920413971, output_fired_time: 7.0001025200, propagate_forward_time: 496.1937866211, propagate_backward_time: 781.4984130859, weight_update_time: 1.1631170511, other_time: 10.2670288086
epoch time: 107.2132949829s, input_fired_time: 0.9207447171, output_fired_time: 0.0000000000, propagate_forward_time: 104.4724273682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8201217651
validation[          , genome  6372] predictions:    5275/  10000 (52.75%), best:    5455/10000 (54.55%), error:     14690.44141, best error:     13980.08789 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1301.1252441406s, input_fired_time: 7.2069144249, output_fired_time: 6.9913387299, propagate_forward_time: 495.9818115234, propagate_backward_time: 780.6646118164, weight_update_time: 1.1574661732, other_time: 10.2805786133
epoch time: 101.8185119629s, input_fired_time: 0.8872420788, output_fired_time: 0.0000000000, propagate_forward_time: 99.1677780151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7634887695
validation[          , genome  6372] predictions:    5329/  10000 (53.29%), best:    5455/10000 (54.55%), error:     14166.40430, best error:     13980.08789 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1303.3477783203s, input_fired_time: 7.2039527893, output_fired_time: 7.0213842392, propagate_forward_time: 496.6346740723, propagate_backward_time: 782.2078247070, weight_update_time: 1.1634645462, other_time: 10.2799682617
epoch time: 101.6584091187s, input_fired_time: 0.8703544140, output_fired_time: 0.0000000000, propagate_forward_time: 99.0275344849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7605209351
validation[          , genome  6372] predictions:    5258/  10000 (52.58%), best:    5455/10000 (54.55%), error:     14701.77148, best error:     13980.08789 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1301.6057128906s, input_fired_time: 7.2295017242, output_fired_time: 7.0099782944, propagate_forward_time: 496.0879211426, propagate_backward_time: 780.9855957031, weight_update_time: 1.1573654413, other_time: 10.2927246094
epoch time: 102.0278549194s, input_fired_time: 0.8864765763, output_fired_time: 0.0000000000, propagate_forward_time: 99.3815536499, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7598266602
validation[          , genome  6372] predictions:    5313/  10000 (53.13%), best:    5455/10000 (54.55%), error:     14437.85449, best error:     13980.08789 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1303.0601806641s, input_fired_time: 7.2409033775, output_fired_time: 6.9949541092, propagate_forward_time: 496.8701477051, propagate_backward_time: 781.6588134766, weight_update_time: 1.1613380909, other_time: 10.2954101563
epoch time: 102.0418167114s, input_fired_time: 0.8916532993, output_fired_time: 0.0000000000, propagate_forward_time: 99.3944625854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7556991577
validation[          , genome  6372] predictions:    5476/  10000 (54.76%), best:    5476/10000 (54.76%), error:     13753.90332, best error:     13753.90332 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1302.5460205078s, input_fired_time: 7.2316689491, output_fired_time: 7.0039501190, propagate_forward_time: 496.4436035156, propagate_backward_time: 781.5726928711, weight_update_time: 1.1591126919, other_time: 10.2941284180
epoch time: 101.9559936523s, input_fired_time: 0.8792155981, output_fired_time: 0.0000000000, propagate_forward_time: 99.3073959351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7693786621
validation[          , genome  6372] predictions:    5431/  10000 (54.31%), best:    5476/10000 (54.76%), error:     13962.32715, best error:     13753.90332 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1301.5119628906s, input_fired_time: 7.2362251282, output_fired_time: 6.9778599739, propagate_forward_time: 496.2933349609, propagate_backward_time: 780.7229614258, weight_update_time: 1.1660193205, other_time: 10.2815551758
epoch time: 101.9379730225s, input_fired_time: 0.8966736197, output_fired_time: 0.0000000000, propagate_forward_time: 99.2822341919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7590637207
validation[          , genome  6372] predictions:    5380/  10000 (53.80%), best:    5476/10000 (54.76%), error:     14247.39844, best error:     13753.90332 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1302.4482421875s, input_fired_time: 7.2597661018, output_fired_time: 7.0174098015, propagate_forward_time: 497.0174865723, propagate_backward_time: 780.8695068359, weight_update_time: 1.1575483084, other_time: 10.2840576172
epoch time: 101.7341842651s, input_fired_time: 0.8839805722, output_fired_time: 0.0000000000, propagate_forward_time: 99.0786743164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7715301514
validation[          , genome  6372] predictions:    5300/  10000 (53.00%), best:    5476/10000 (54.76%), error:     14463.85840, best error:     13753.90332 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1307.1048583984s, input_fired_time: 7.3054504395, output_fired_time: 7.0010051727, propagate_forward_time: 498.6539611816, propagate_backward_time: 783.8613281250, weight_update_time: 1.1582111120, other_time: 10.2832031250
epoch time: 102.0842590332s, input_fired_time: 0.8950456381, output_fired_time: 0.0000000000, propagate_forward_time: 99.4403839111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7488327026
validation[          , genome  6372] predictions:    5642/  10000 (56.42%), best:    5642/10000 (56.42%), error:     13412.68555, best error:     13412.68555 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1300.8352050781s, input_fired_time: 7.2700958252, output_fired_time: 6.9904665947, propagate_forward_time: 495.9917297363, propagate_backward_time: 780.3219604492, weight_update_time: 1.1626600027, other_time: 10.2609252930
epoch time: 101.8934097290s, input_fired_time: 0.8984632492, output_fired_time: 0.0000000000, propagate_forward_time: 99.2381668091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7567825317
validation[          , genome  6372] predictions:    5586/  10000 (55.86%), best:    5642/10000 (56.42%), error:     13532.33496, best error:     13412.68555 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1302.5502929688s, input_fired_time: 7.2795686722, output_fired_time: 6.9848403931, propagate_forward_time: 496.5192565918, propagate_backward_time: 781.5001831055, weight_update_time: 1.1573474407, other_time: 10.2664184570
epoch time: 101.8175201416s, input_fired_time: 0.8976020217, output_fired_time: 0.0000000000, propagate_forward_time: 99.1718750000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7480468750
validation[          , genome  6372] predictions:    5608/  10000 (56.08%), best:    5608/10000 (56.08%), error:     13407.03613, best error:     13407.03613 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1301.4114990234s, input_fired_time: 7.2932138443, output_fired_time: 6.9935116768, propagate_forward_time: 496.4979858398, propagate_backward_time: 780.3419799805, weight_update_time: 1.1540921926, other_time: 10.2847900391
epoch time: 101.9187011719s, input_fired_time: 0.8931101561, output_fired_time: 0.0000000000, propagate_forward_time: 99.2737731934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7518157959
validation[          , genome  6372] predictions:    5490/  10000 (54.90%), best:    5608/10000 (56.08%), error:     14105.69629, best error:     13407.03613 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1309.4359130859s, input_fired_time: 7.3412671089, output_fired_time: 7.0228667259, propagate_forward_time: 499.3773803711, propagate_backward_time: 785.3102416992, weight_update_time: 1.1670502424, other_time: 10.3841552734
epoch time: 101.8472213745s, input_fired_time: 0.9112418294, output_fired_time: 0.0000000000, propagate_forward_time: 99.1854629517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7505187988
validation[          , genome  6372] predictions:    5694/  10000 (56.94%), best:    5694/10000 (56.94%), error:     12900.98145, best error:     12900.98145 on epoch:    25, 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: 511.1236267090s, input_fired_time: 4.5527029037, output_fired_time: 0.0000000000, propagate_forward_time: 497.7164001465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.8545227051
best training[          , genome  6372] predictions:   32125/  50000 (64.25%), best:    5694/10000 (56.94%), error:     52291.00391, best error:     12900.98145 on epoch:    25, 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: 102.0280380249s, input_fired_time: 0.9100246429, output_fired_time: 0.0000000000, propagate_forward_time: 99.3405532837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7774581909
   testing[          , genome  6372] predictions:    5694/  10000 (56.94%), best:    5694/10000 (56.94%), error:     12900.98145, best error:     12900.98145 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
23:43:13 (6952): called boinc_finish(0)

</stderr_txt>
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