Nameexact_genome_1542692703_167_6390_0
Workunit4100851
Created20 Nov 2018, 10:37:25 UTC
Sent20 Nov 2018, 11:19:03 UTC
Report deadline19 Dec 2018, 2:25:51 UTC
Received23 Nov 2018, 16:44:52 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time10 hours 49 min 46 sec
CPU time10 hours 44 min 47 sec
Validate stateValid
Credit7,157.43
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.05 MB
Peak swap size515.05 MB
Peak disk usage11.95 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_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_0_r1710315117_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390.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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '1752485725'
read generator: 1752485725
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 1289361470
post shuffle 1: 735410671
epoch time: 1363.77978515625s, input_fired_time: 7.90483045578003, output_fired_time: 7.65666007995605, propagate_forward_time: 519.267211914063, propagate_backward_time: 818.155212402344, weight_update_time: 1.19226562976837, other_time: 10.7959594726563
epoch time: 106.704666137695s, input_fired_time: 0.975009143352509, output_fired_time: 0, propagate_forward_time: 103.865440368652, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.86421966552734
validation[          , genome  6390] predictions:    4904/  10000 (49.04%), best:    4904/10000 (49.04%), error:     17728.77148, best error:     17728.77148 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1364.8741455078s, input_fired_time: 7.8683762550, output_fired_time: 7.6939311028, propagate_forward_time: 519.2755737305, propagate_backward_time: 819.2272949219, weight_update_time: 1.1939482689, other_time: 10.8088989258
epoch time: 110.8504943848s, input_fired_time: 0.9953666925, output_fired_time: 0.0000000000, propagate_forward_time: 107.9641799927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8909454346
validation[          , genome  6390] predictions:    4811/  10000 (48.11%), best:    4811/10000 (48.11%), error:     17475.71680, best error:     17475.71680 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1383.2800292969s, input_fired_time: 7.9789166451, output_fired_time: 7.7569532394, propagate_forward_time: 527.1176757813, propagate_backward_time: 829.4649047852, weight_update_time: 1.1921803951, other_time: 10.9616088867
epoch time: 106.7727661133s, input_fired_time: 0.9528952837, output_fired_time: 0.0000000000, propagate_forward_time: 103.9741821289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8456878662
validation[          , genome  6390] predictions:    4742/  10000 (47.42%), best:    4811/10000 (48.11%), error:     17734.38281, best error:     17475.71680 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1365.1989746094s, input_fired_time: 7.8341441154, output_fired_time: 7.6309685707, propagate_forward_time: 519.9599609375, propagate_backward_time: 818.9949951172, weight_update_time: 1.1909121275, other_time: 10.7789306641
epoch time: 106.6423416138s, input_fired_time: 0.9504783750, output_fired_time: 0.0000000000, propagate_forward_time: 103.8467178345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8451461792
validation[          , genome  6390] predictions:    5019/  10000 (50.19%), best:    5019/10000 (50.19%), error:     16310.03223, best error:     16310.03223 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1365.8742675781s, input_fired_time: 7.8225283623, output_fired_time: 7.6509227753, propagate_forward_time: 519.8351440430, propagate_backward_time: 819.7451171875, weight_update_time: 1.1903727055, other_time: 10.8206176758
epoch time: 106.7351760864s, input_fired_time: 0.9581974745, output_fired_time: 0.0000000000, propagate_forward_time: 103.9267501831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8502273560
validation[          , genome  6390] predictions:    5055/  10000 (50.55%), best:    5055/10000 (50.55%), error:     15510.27832, best error:     15510.27832 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1366.5772705078s, input_fired_time: 7.8487334251, output_fired_time: 7.6573724747, propagate_forward_time: 520.8161621094, propagate_backward_time: 819.4608764648, weight_update_time: 1.1886554956, other_time: 10.7941284180
epoch time: 106.6595916748s, input_fired_time: 0.9250965714, output_fired_time: 0.0000000000, propagate_forward_time: 103.8790969849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8554000854
validation[          , genome  6390] predictions:    4906/  10000 (49.06%), best:    5055/10000 (50.55%), error:     15734.76172, best error:     15510.27832 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1366.1083984375s, input_fired_time: 7.8224897385, output_fired_time: 7.6760468483, propagate_forward_time: 520.3711547852, propagate_backward_time: 819.3618774414, weight_update_time: 1.1826324463, other_time: 10.8768310547
epoch time: 106.5305633545s, input_fired_time: 0.9547861218, output_fired_time: 0.0000000000, propagate_forward_time: 103.7118606567, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8639144897
validation[          , genome  6390] predictions:    5022/  10000 (50.22%), best:    5055/10000 (50.55%), error:     16324.19043, best error:     15510.27832 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1364.5146484375s, input_fired_time: 7.8231425285, output_fired_time: 7.6802811623, propagate_forward_time: 519.7479858398, propagate_backward_time: 818.5008544922, weight_update_time: 1.1864641905, other_time: 10.7623901367
epoch time: 106.6867218018s, input_fired_time: 0.9530656934, output_fired_time: 0.0000000000, propagate_forward_time: 103.8724060059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8612518311
validation[          , genome  6390] predictions:    5212/  10000 (52.12%), best:    5212/10000 (52.12%), error:     14959.93750, best error:     14959.93750 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1364.4282226563s, input_fired_time: 7.8261032104, output_fired_time: 7.6417083740, propagate_forward_time: 520.0968627930, propagate_backward_time: 818.0776977539, weight_update_time: 1.1794682741, other_time: 10.7858886719
epoch time: 107.6264495850s, input_fired_time: 0.9531708956, output_fired_time: 0.0000000000, propagate_forward_time: 104.8159332275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8573455811
validation[          , genome  6390] predictions:    5056/  10000 (50.56%), best:    5212/10000 (52.12%), error:     15860.84180, best error:     14959.93750 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1369.9201660156s, input_fired_time: 7.8402724266, output_fired_time: 7.6539649963, propagate_forward_time: 521.8504638672, propagate_backward_time: 821.7024536133, weight_update_time: 1.1956559420, other_time: 10.8729858398
epoch time: 107.1317901611s, input_fired_time: 0.9317429662, output_fired_time: 0.0000000000, propagate_forward_time: 104.3217773438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8782730103
validation[          , genome  6390] predictions:    5076/  10000 (50.76%), best:    5212/10000 (52.12%), error:     15165.36328, best error:     14959.93750 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1365.1396484375s, input_fired_time: 7.8185920715, output_fired_time: 7.6385779381, propagate_forward_time: 520.0760498047, propagate_backward_time: 818.7893066406, weight_update_time: 1.1873201132, other_time: 10.8171386719
epoch time: 106.9003524780s, input_fired_time: 0.9303677678, output_fired_time: 0.0000000000, propagate_forward_time: 104.1068267822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8631591797
validation[          , genome  6390] predictions:    5079/  10000 (50.79%), best:    5212/10000 (52.12%), error:     15297.47656, best error:     14959.93750 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1365.4794921875s, input_fired_time: 7.8027138710, output_fired_time: 7.6734046936, propagate_forward_time: 520.0712890625, propagate_backward_time: 819.1066284180, weight_update_time: 1.1944162846, other_time: 10.8253784180
epoch time: 106.8117218018s, input_fired_time: 0.9411709905, output_fired_time: 0.0000000000, propagate_forward_time: 104.0113220215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8592300415
validation[          , genome  6390] predictions:    5054/  10000 (50.54%), best:    5212/10000 (52.12%), error:     15857.21094, best error:     14959.93750 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1365.7147216797s, input_fired_time: 7.8294000626, output_fired_time: 7.6706209183, propagate_forward_time: 520.1469726563, propagate_backward_time: 819.2736816406, weight_update_time: 1.1838307381, other_time: 10.7940673828
epoch time: 106.9430313110s, input_fired_time: 0.9596515894, output_fired_time: 0.0000000000, propagate_forward_time: 104.1404876709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8428955078
validation[          , genome  6390] predictions:    5383/  10000 (53.83%), best:    5383/10000 (53.83%), error:     14362.24219, best error:     14362.24219 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1365.4455566406s, input_fired_time: 7.8669962883, output_fired_time: 7.6645932198, propagate_forward_time: 520.3936767578, propagate_backward_time: 818.6550292969, weight_update_time: 1.1896060705, other_time: 10.8653564453
epoch time: 106.7504806519s, input_fired_time: 0.9376986027, output_fired_time: 0.0000000000, propagate_forward_time: 103.9685440063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8442382813
validation[          , genome  6390] predictions:    5303/  10000 (53.03%), best:    5383/10000 (53.83%), error:     14474.21191, best error:     14362.24219 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1365.8602294922s, input_fired_time: 7.8471403122, output_fired_time: 7.6516942978, propagate_forward_time: 520.3446655273, propagate_backward_time: 819.1671752930, weight_update_time: 1.1914764643, other_time: 10.8494873047
epoch time: 106.8376464844s, input_fired_time: 0.9660947323, output_fired_time: 0.0000000000, propagate_forward_time: 104.0006027222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8709487915
validation[          , genome  6390] predictions:    5383/  10000 (53.83%), best:    5383/10000 (53.83%), error:     14261.35742, best error:     14261.35742 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1364.9477539063s, input_fired_time: 7.8464474678, output_fired_time: 7.6672072411, propagate_forward_time: 520.2420654297, propagate_backward_time: 818.3674316406, weight_update_time: 1.1849881411, other_time: 10.8245849609
epoch time: 106.7398452759s, input_fired_time: 0.9485261440, output_fired_time: 0.0000000000, propagate_forward_time: 103.9421386719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8491821289
validation[          , genome  6390] predictions:    5265/  10000 (52.65%), best:    5383/10000 (53.83%), error:     14341.70410, best error:     14261.35742 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1367.0263671875s, input_fired_time: 7.8752675056, output_fired_time: 7.6388516426, propagate_forward_time: 521.0279541016, propagate_backward_time: 819.6522216797, weight_update_time: 1.1895983219, other_time: 10.8321533203
epoch time: 111.2678451538s, input_fired_time: 1.0030319691, output_fired_time: 0.0000000000, propagate_forward_time: 108.3559875488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9088287354
validation[          , genome  6390] predictions:    5461/  10000 (54.61%), best:    5461/10000 (54.61%), error:     13874.27051, best error:     13874.27051 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1364.0100097656s, input_fired_time: 7.8590478897, output_fired_time: 7.6324486732, propagate_forward_time: 519.6671142578, propagate_backward_time: 818.0780029297, weight_update_time: 1.1822152138, other_time: 10.7734375000
epoch time: 106.7199707031s, input_fired_time: 0.9705231786, output_fired_time: 0.0000000000, propagate_forward_time: 103.8995056152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8499450684
validation[          , genome  6390] predictions:    5295/  10000 (52.95%), best:    5461/10000 (54.61%), error:     14709.15820, best error:     13874.27051 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1364.9644775391s, input_fired_time: 7.8947310448, output_fired_time: 7.6462202072, propagate_forward_time: 520.0019531250, propagate_backward_time: 818.6336059570, weight_update_time: 1.1866534948, other_time: 10.7879028320
epoch time: 106.4649124146s, input_fired_time: 0.9311510324, output_fired_time: 0.0000000000, propagate_forward_time: 103.6782150269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8555450439
validation[          , genome  6390] predictions:    4712/  10000 (47.12%), best:    5461/10000 (54.61%), error:     16714.43555, best error:     13874.27051 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1363.9645996094s, input_fired_time: 7.8775820732, output_fired_time: 7.6374917030, propagate_forward_time: 519.6940917969, propagate_backward_time: 817.9567871094, weight_update_time: 1.1887398958, other_time: 10.7987060547
epoch time: 106.6876525879s, input_fired_time: 0.9459068179, output_fired_time: 0.0000000000, propagate_forward_time: 103.8932495117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8484954834
validation[          , genome  6390] predictions:    4996/  10000 (49.96%), best:    5461/10000 (54.61%), error:     15155.60840, best error:     13874.27051 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1367.0263671875s, input_fired_time: 7.8937945366, output_fired_time: 7.6677222252, propagate_forward_time: 520.5777587891, propagate_backward_time: 820.0767822266, weight_update_time: 1.1870687008, other_time: 10.8103027344
epoch time: 111.2255477905s, input_fired_time: 0.9836018682, output_fired_time: 0.0000000000, propagate_forward_time: 108.3530654907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8888778687
validation[          , genome  6390] predictions:    5300/  10000 (53.00%), best:    5461/10000 (54.61%), error:     14595.51563, best error:     13874.27051 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1367.1706542969s, input_fired_time: 7.9201545715, output_fired_time: 7.6650848389, propagate_forward_time: 520.8985595703, propagate_backward_time: 819.8771972656, weight_update_time: 1.1929560900, other_time: 10.8096923828
epoch time: 106.9425811768s, input_fired_time: 0.9669640660, output_fired_time: 0.0000000000, propagate_forward_time: 104.1160507202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8595657349
validation[          , genome  6390] predictions:    5546/  10000 (55.46%), best:    5461/10000 (54.61%), error:     13906.97070, best error:     13874.27051 on epoch:    16, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1365.3758544922s, input_fired_time: 7.8982453346, output_fired_time: 7.6913928986, propagate_forward_time: 519.7674560547, propagate_backward_time: 819.2018432617, weight_update_time: 1.1895462275, other_time: 10.8169555664
epoch time: 106.9883804321s, input_fired_time: 0.9583499432, output_fired_time: 0.0000000000, propagate_forward_time: 104.1726837158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8573455811
validation[          , genome  6390] predictions:    5410/  10000 (54.10%), best:    5461/10000 (54.61%), error:     14435.57422, best error:     13874.27051 on epoch:    16, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1368.4893798828s, input_fired_time: 7.9349360466, output_fired_time: 7.6692509651, propagate_forward_time: 520.9669189453, propagate_backward_time: 821.0742187500, weight_update_time: 1.1895830631, other_time: 10.8439941406
epoch time: 106.9312667847s, input_fired_time: 0.9753879905, output_fired_time: 0.0000000000, propagate_forward_time: 104.0929794312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8628997803
validation[          , genome  6390] predictions:    5563/  10000 (55.63%), best:    5563/10000 (55.63%), error:     13550.74902, best error:     13550.74902 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1368.2282714844s, input_fired_time: 7.9477767944, output_fired_time: 7.7085237503, propagate_forward_time: 521.5774536133, propagate_backward_time: 820.1456909180, weight_update_time: 1.1924823523, other_time: 10.8488769531
epoch time: 106.9318542480s, input_fired_time: 0.9785554409, output_fired_time: 0.0000000000, propagate_forward_time: 104.0772552490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8760452271
validation[          , genome  6390] predictions:    5569/  10000 (55.69%), best:    5563/10000 (55.63%), error:     13757.29688, best error:     13550.74902 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1368.7207031250s, input_fired_time: 7.9491739273, output_fired_time: 7.7452335358, propagate_forward_time: 520.8373413086, propagate_backward_time: 821.3128051758, weight_update_time: 1.1941218376, other_time: 10.8760986328
epoch time: 106.7201843262s, input_fired_time: 0.9825941920, output_fired_time: 0.0000000000, propagate_forward_time: 103.8726196289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8649673462
validation[          , genome  6390] predictions:    5751/  10000 (57.51%), best:    5751/10000 (57.51%), error:     13124.10156, best error:     13124.10156 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: 534.7497558594s, input_fired_time: 4.9256644249, output_fired_time: 0.0000000000, propagate_forward_time: 520.4364624023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.3876342773
best training[          , genome  6390] predictions:   32868/  50000 (65.74%), best:    5751/10000 (57.51%), error:     50331.40625, best error:     13124.10156 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: 107.2729644775s, input_fired_time: 0.9836739302, output_fired_time: 0.0000000000, propagate_forward_time: 104.4263229370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8629684448
   testing[          , genome  6390] predictions:    5751/  10000 (57.51%), best:    5751/10000 (57.51%), error:     13124.10156, best error:     13124.10156 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
01:43:54 (2396): called boinc_finish(0)

</stderr_txt>
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