Nameexact_genome_1542383404_166_6068_0
Workunit4093167
Created16 Nov 2018, 16:54:19 UTC
Sent16 Nov 2018, 17:20:56 UTC
Report deadline13 Dec 2018, 7:30:46 UTC
Received23 Nov 2018, 8:36:22 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID85280
Run time8 hours 19 min 27 sec
CPU time8 hours 18 min 36 sec
Validate stateValid
Credit6,647.54
Device peak FLOPS4.14 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size533.36 MB
Peak swap size552.96 MB
Peak disk usage12.18 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_1542383404_166_6068.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6068_0_r1506173165_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6068.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: 6068
read normal distribution: '0 0.498438745737076 0.810248076915741'
generator_str: '348378484'
read generator: 348378484
read generated_by_map:
1 merge_node 1
reading 114 nodes.
reading 434 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: 1156758866
post shuffle 1: 2007378858
epoch time: 1158.40344238281s, input_fired_time: 9.08507442474365, output_fired_time: 8.03919982910156, propagate_forward_time: 456.801727294922, propagate_backward_time: 674.391418457031, weight_update_time: 1.11581981182098, other_time: 10.0859985351563
epoch time: 96.1071014404297s, input_fired_time: 1.1131876707077, output_fired_time: 0, propagate_forward_time: 93.186164855957, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.80774688720703
validation[          , genome  6068] predictions:    4653/  10000 (46.53%), best:    4653/10000 (46.53%), error:     20028.50391, best error:     20028.50391 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1169.7967529297s, input_fired_time: 11.1065025330, output_fired_time: 8.1174468994, propagate_forward_time: 458.9102783203, propagate_backward_time: 680.5779418945, weight_update_time: 1.1321398020, other_time: 11.0846557617
epoch time: 95.0451278687s, input_fired_time: 1.0919978619, output_fired_time: 0.0000000000, propagate_forward_time: 92.1668243408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7863082886
validation[          , genome  6068] predictions:    5163/  10000 (51.63%), best:    5163/10000 (51.63%), error:     15898.01074, best error:     15898.01074 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1169.7341308594s, input_fired_time: 8.9901151657, output_fired_time: 9.1750183105, propagate_forward_time: 462.6562805176, propagate_backward_time: 676.6257324219, weight_update_time: 1.1319233179, other_time: 12.2869873047
epoch time: 97.2322845459s, input_fired_time: 1.1011574268, output_fired_time: 0.0000000000, propagate_forward_time: 94.3432159424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7879104614
validation[          , genome  6068] predictions:    5284/  10000 (52.84%), best:    5284/10000 (52.84%), error:     14701.32520, best error:     14701.32520 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1169.8747558594s, input_fired_time: 12.0091114044, output_fired_time: 9.0738582611, propagate_forward_time: 454.2115783691, propagate_backward_time: 682.3305664063, weight_update_time: 1.1278820038, other_time: 12.2496337891
epoch time: 96.0959854126s, input_fired_time: 1.0637351274, output_fired_time: 0.0000000000, propagate_forward_time: 92.2660675049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7661819458
validation[          , genome  6068] predictions:    4772/  10000 (47.72%), best:    5284/10000 (52.84%), error:     17080.92578, best error:     14701.32520 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1170.4056396484s, input_fired_time: 9.9735679626, output_fired_time: 8.1691761017, propagate_forward_time: 451.9798278809, propagate_backward_time: 685.9440307617, weight_update_time: 2.1405642033, other_time: 14.3390502930
epoch time: 93.7917785645s, input_fired_time: 1.0785222054, output_fired_time: 0.0000000000, propagate_forward_time: 90.9843521118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7289047241
validation[          , genome  6068] predictions:    4809/  10000 (48.09%), best:    5284/10000 (52.84%), error:     16987.46289, best error:     14701.32520 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1166.1873779297s, input_fired_time: 9.9509897232, output_fired_time: 10.1308155060, propagate_forward_time: 456.0702514648, propagate_backward_time: 678.8382568359, weight_update_time: 1.1204878092, other_time: 11.1969604492
epoch time: 94.1126556396s, input_fired_time: 1.0767409801, output_fired_time: 0.0000000000, propagate_forward_time: 91.2988739014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7370376587
validation[          , genome  6068] predictions:    5084/  10000 (50.84%), best:    5284/10000 (52.84%), error:     15520.08984, best error:     14701.32520 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1167.8963623047s, input_fired_time: 10.9945812225, output_fired_time: 9.0880594254, propagate_forward_time: 456.3757629395, propagate_backward_time: 678.1979980469, weight_update_time: 1.1329468489, other_time: 13.2399902344
epoch time: 93.8124771118s, input_fired_time: 1.0663474798, output_fired_time: 0.0000000000, propagate_forward_time: 89.9914550781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7546768188
validation[          , genome  6068] predictions:    5174/  10000 (51.74%), best:    5284/10000 (52.84%), error:     15751.50195, best error:     14701.32520 on epoch:     2, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1150.8245849609s, input_fired_time: 9.8069572449, output_fired_time: 7.9739522934, propagate_forward_time: 453.0249938965, propagate_backward_time: 667.9293212891, weight_update_time: 1.1131571531, other_time: 12.0892333984
epoch time: 92.8324661255s, input_fired_time: 1.0692619085, output_fired_time: 0.0000000000, propagate_forward_time: 89.9997024536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7635040283
validation[          , genome  6068] predictions:    5258/  10000 (52.58%), best:    5284/10000 (52.84%), error:     14885.33301, best error:     14701.32520 on epoch:     2, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1152.1228027344s, input_fired_time: 10.9097604752, output_fired_time: 8.0035219193, propagate_forward_time: 449.7975158691, propagate_backward_time: 673.2895507813, weight_update_time: 1.1106706858, other_time: 10.1224365234
epoch time: 95.4548873901s, input_fired_time: 1.0681222677, output_fired_time: 0.0000000000, propagate_forward_time: 92.6475372314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7392272949
validation[          , genome  6068] predictions:    5317/  10000 (53.17%), best:    5284/10000 (52.84%), error:     14798.93262, best error:     14701.32520 on epoch:     2, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1155.1196289063s, input_fired_time: 9.9326343536, output_fired_time: 9.8848810196, propagate_forward_time: 450.2879028320, propagate_backward_time: 673.8437500000, weight_update_time: 1.1268680096, other_time: 11.1704711914
epoch time: 93.4368133545s, input_fired_time: 1.0596424341, output_fired_time: 0.0000000000, propagate_forward_time: 90.6412887573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7358856201
validation[          , genome  6068] predictions:    5359/  10000 (53.59%), best:    5359/10000 (53.59%), error:     14636.75391, best error:     14636.75391 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1150.4006347656s, input_fired_time: 9.9283275604, output_fired_time: 7.9345059395, propagate_forward_time: 455.3140258789, propagate_backward_time: 667.0706787109, weight_update_time: 1.1046813726, other_time: 10.1531372070
epoch time: 93.7620391846s, input_fired_time: 1.0839487314, output_fired_time: 0.0000000000, propagate_forward_time: 90.9073944092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7706985474
validation[          , genome  6068] predictions:    5274/  10000 (52.74%), best:    5359/10000 (53.59%), error:     14831.95703, best error:     14636.75391 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1148.5684814453s, input_fired_time: 8.9163112640, output_fired_time: 7.9746193886, propagate_forward_time: 451.3368225098, propagate_backward_time: 668.2075805664, weight_update_time: 1.1125452518, other_time: 12.1332397461
epoch time: 92.3447189331s, input_fired_time: 1.0776596069, output_fired_time: 0.0000000000, propagate_forward_time: 89.5336608887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7333984375
validation[          , genome  6068] predictions:    5570/  10000 (55.70%), best:    5570/10000 (55.70%), error:     14014.12109, best error:     14014.12109 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1160.5646972656s, input_fired_time: 10.0116806030, output_fired_time: 7.9780364037, propagate_forward_time: 465.3158569336, propagate_backward_time: 666.0421142578, weight_update_time: 1.1199351549, other_time: 11.2169799805
epoch time: 95.1212844849s, input_fired_time: 1.0983799696, output_fired_time: 0.0000000000, propagate_forward_time: 92.2640914917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7588119507
validation[          , genome  6068] predictions:    5158/  10000 (51.58%), best:    5570/10000 (55.70%), error:     16079.55078, best error:     14014.12109 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1160.7358398438s, input_fired_time: 13.0322599411, output_fired_time: 10.0256156921, propagate_forward_time: 457.8826293945, propagate_backward_time: 668.5595092773, weight_update_time: 1.1266052723, other_time: 11.2358398438
epoch time: 93.9057159424s, input_fired_time: 1.0806680918, output_fired_time: 0.0000000000, propagate_forward_time: 91.1105117798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7145385742
validation[          , genome  6068] predictions:    5482/  10000 (54.82%), best:    5482/10000 (54.82%), error:     13980.41113, best error:     13980.41113 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1164.7795410156s, input_fired_time: 10.0347385406, output_fired_time: 9.0712757111, propagate_forward_time: 451.5385742188, propagate_backward_time: 683.9653930664, weight_update_time: 1.1209605932, other_time: 10.1694946289
epoch time: 95.3227386475s, input_fired_time: 1.1010872126, output_fired_time: 0.0000000000, propagate_forward_time: 91.4567260742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7649230957
validation[          , genome  6068] predictions:    5439/  10000 (54.39%), best:    5482/10000 (54.82%), error:     14335.84668, best error:     13980.41113 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1163.7950439453s, input_fired_time: 10.0570878983, output_fired_time: 8.6869726181, propagate_forward_time: 450.8533630371, propagate_backward_time: 681.8873291016, weight_update_time: 2.1387794018, other_time: 12.3101806641
epoch time: 94.3125762939s, input_fired_time: 1.0932482481, output_fired_time: 0.0000000000, propagate_forward_time: 91.4951400757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7241897583
validation[          , genome  6068] predictions:    5560/  10000 (55.60%), best:    5560/10000 (55.60%), error:     13580.27832, best error:     13580.27832 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1167.8903808594s, input_fired_time: 10.0673084259, output_fired_time: 10.1075868607, propagate_forward_time: 456.3039855957, propagate_backward_time: 681.2279663086, weight_update_time: 1.1277990341, other_time: 10.1836547852
epoch time: 95.1704330444s, input_fired_time: 1.0932203531, output_fired_time: 0.0000000000, propagate_forward_time: 92.3131561279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7640533447
validation[          , genome  6068] predictions:    5541/  10000 (55.41%), best:    5560/10000 (55.60%), error:     13696.97363, best error:     13580.27832 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1162.8432617188s, input_fired_time: 9.9398899078, output_fired_time: 9.0637674332, propagate_forward_time: 455.4891967773, propagate_backward_time: 678.1841430664, weight_update_time: 1.1284688711, other_time: 10.1662597656
epoch time: 95.2513351440s, input_fired_time: 1.0959725380, output_fired_time: 0.0000000000, propagate_forward_time: 92.4000854492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7552795410
validation[          , genome  6068] predictions:    5266/  10000 (52.66%), best:    5560/10000 (55.60%), error:     15091.58789, best error:     13580.27832 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1161.5156250000s, input_fired_time: 10.0197877884, output_fired_time: 10.0354785919, propagate_forward_time: 456.6325683594, propagate_backward_time: 673.7423706055, weight_update_time: 1.1123989820, other_time: 11.0853881836
epoch time: 94.1906509399s, input_fired_time: 1.1007882357, output_fired_time: 0.0000000000, propagate_forward_time: 91.3385162354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7513427734
validation[          , genome  6068] predictions:    5605/  10000 (56.05%), best:    5560/10000 (55.60%), error:     13604.34082, best error:     13580.27832 on epoch:    15, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1166.1964111328s, input_fired_time: 10.0702381134, output_fired_time: 10.0832405090, propagate_forward_time: 458.0399169922, propagate_backward_time: 673.7870483398, weight_update_time: 1.1216675043, other_time: 14.2160034180
epoch time: 95.7150726318s, input_fired_time: 2.1089167595, output_fired_time: 0.0000000000, propagate_forward_time: 91.8712997437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7348556519
validation[          , genome  6068] predictions:    5543/  10000 (55.43%), best:    5560/10000 (55.60%), error:     13946.98730, best error:     13580.27832 on epoch:    15, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1162.1928710938s, input_fired_time: 10.0807552338, output_fired_time: 8.1134729385, propagate_forward_time: 456.1309509277, propagate_backward_time: 673.8037109375, weight_update_time: 1.1252158880, other_time: 14.0638427734
epoch time: 95.0257415771s, input_fired_time: 1.1095921993, output_fired_time: 0.0000000000, propagate_forward_time: 92.1576843262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7584686279
validation[          , genome  6068] predictions:    5337/  10000 (53.37%), best:    5560/10000 (55.60%), error:     14747.86719, best error:     13580.27832 on epoch:    15, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1167.1041259766s, input_fired_time: 9.0685939789, output_fired_time: 8.0502939224, propagate_forward_time: 457.7070922852, propagate_backward_time: 680.9892578125, weight_update_time: 1.1249673367, other_time: 11.2888793945
epoch time: 94.6844940186s, input_fired_time: 2.1166787148, output_fired_time: 0.0000000000, propagate_forward_time: 90.8297500610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7380676270
validation[          , genome  6068] predictions:    5318/  10000 (53.18%), best:    5560/10000 (55.60%), error:     15034.26172, best error:     13580.27832 on epoch:    15, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1162.6511230469s, input_fired_time: 10.0781707764, output_fired_time: 8.0870370865, propagate_forward_time: 459.1953735352, propagate_backward_time: 673.0889892578, weight_update_time: 1.1245324612, other_time: 12.2015991211
epoch time: 95.0565032959s, input_fired_time: 2.1389801502, output_fired_time: 0.0000000000, propagate_forward_time: 91.1687698364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7487564087
validation[          , genome  6068] predictions:    5592/  10000 (55.92%), best:    5560/10000 (55.60%), error:     13768.00879, best error:     13580.27832 on epoch:    15, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1164.3326416016s, input_fired_time: 10.1120214462, output_fired_time: 9.0796594620, propagate_forward_time: 456.3269653320, propagate_backward_time: 677.6357421875, weight_update_time: 1.1260274649, other_time: 11.1781616211
epoch time: 95.7832031250s, input_fired_time: 1.1220970154, output_fired_time: 0.0000000000, propagate_forward_time: 92.9171142578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7439880371
validation[          , genome  6068] predictions:    5666/  10000 (56.66%), best:    5666/10000 (56.66%), error:     13172.84473, best error:     13172.84473 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1161.3656005859s, input_fired_time: 11.1286048889, output_fired_time: 8.9595813751, propagate_forward_time: 460.7552490234, propagate_backward_time: 670.3984985352, weight_update_time: 1.1143344641, other_time: 10.1235961914
epoch time: 94.2586746216s, input_fired_time: 1.1060395241, output_fired_time: 0.0000000000, propagate_forward_time: 91.4057464600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7468872070
validation[          , genome  6068] predictions:    5564/  10000 (55.64%), best:    5666/10000 (56.66%), error:     13697.22461, best error:     13172.84473 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1166.6987304688s, input_fired_time: 9.1199293137, output_fired_time: 11.1682128906, propagate_forward_time: 451.2933959961, propagate_backward_time: 682.9339599609, weight_update_time: 1.1225838661, other_time: 12.1832885742
epoch time: 94.6545639038s, input_fired_time: 1.1178092957, output_fired_time: 0.0000000000, propagate_forward_time: 91.8231811523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7135772705
validation[          , genome  6068] predictions:    5695/  10000 (56.95%), best:    5666/10000 (56.66%), error:     13506.97852, best error:     13172.84473 on epoch:    23, 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: 475.7952575684s, input_fired_time: 5.6002750397, output_fired_time: 0.0000000000, propagate_forward_time: 460.3182678223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.8767089844
best training[          , genome  6068] predictions:   31998/  50000 (64.00%), best:    5666/10000 (56.66%), error:     52209.66016, best error:     13172.84473 on epoch:    23, 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: 95.7518844604s, input_fired_time: 1.1243554354, output_fired_time: 0.0000000000, propagate_forward_time: 92.8806152344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7469100952
   testing[          , genome  6068] predictions:    5666/  10000 (56.66%), best:    5666/10000 (56.66%), error:     13172.84473, best error:     13172.84473 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
01:36:03 (11780): called boinc_finish(0)

</stderr_txt>
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