Nameexact_genome_1542692703_169_6398_1
Workunit4100950
Created20 Nov 2018, 11:39:35 UTC
Sent20 Nov 2018, 12:21:51 UTC
Report deadline14 Dec 2018, 13:18:20 UTC
Received23 Nov 2018, 0:58:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88573
Run time11 hours 44 min 48 sec
CPU time11 hours 44 min 45 sec
Validate stateValid
Credit6,009.81
Device peak FLOPS3.35 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.28 MB
Peak swap size516.07 MB
Peak disk usage11.11 MB

Stderr output

<core_client_version>7.6.22</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_169_6398.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6398_1_r987331625_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6398.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: 6398
read normal distribution: '1 -1.25030136108398 -1.87765669822693'
generator_str: '1409828858'
read generator: 1409828858
read generated_by_map:
1 enable_node 1
reading 90 nodes.
reading 344 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: 1806539055
post shuffle 1: 337344475
epoch time: 1503.65454101563s, input_fired_time: 10.0596370697021, output_fired_time: 9.44634437561035, propagate_forward_time: 582.498901367188, propagate_backward_time: 886.470642089844, weight_update_time: 1.59525191783905, other_time: 15.1790161132813
epoch time: 105.120330810547s, input_fired_time: 1.19922852516174, output_fired_time: 0, propagate_forward_time: 101.266860961914, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.65424346923828
validation[          , genome  6398] predictions:    4817/  10000 (48.17%), best:    4817/10000 (48.17%), error:     17988.58008, best error:     17988.58008 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1474.8237304688s, input_fired_time: 10.0943231583, output_fired_time: 9.3084440231, propagate_forward_time: 569.6998291016, propagate_backward_time: 870.2223510742, weight_update_time: 1.5862225294, other_time: 15.4987182617
epoch time: 111.7269439697s, input_fired_time: 1.1553685665, output_fired_time: 0.0000000000, propagate_forward_time: 108.1027450562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4688339233
validation[          , genome  6398] predictions:    5116/  10000 (51.16%), best:    5116/10000 (51.16%), error:     16642.97461, best error:     16642.97461 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1783.7440185547s, input_fired_time: 10.8576927185, output_fired_time: 11.1396970749, propagate_forward_time: 697.9122314453, propagate_backward_time: 1048.0252685547, weight_update_time: 1.7517327070, other_time: 15.8092041016
epoch time: 126.2046737671s, input_fired_time: 1.2477408648, output_fired_time: 0.0000000000, propagate_forward_time: 122.3598098755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5971221924
validation[          , genome  6398] predictions:    5102/  10000 (51.02%), best:    5102/10000 (51.02%), error:     15923.58594, best error:     15923.58594 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1332.1154785156s, input_fired_time: 9.0605707169, output_fired_time: 8.3110914230, propagate_forward_time: 511.6146850586, propagate_backward_time: 789.1574096680, weight_update_time: 1.4589371681, other_time: 13.9718017578
epoch time: 133.9155578613s, input_fired_time: 1.3002150059, output_fired_time: 0.0000000000, propagate_forward_time: 129.9614257813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6539154053
validation[          , genome  6398] predictions:    4954/  10000 (49.54%), best:    5102/10000 (51.02%), error:     16351.99512, best error:     15923.58594 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1582.0769042969s, input_fired_time: 10.0668048859, output_fired_time: 9.8823547363, propagate_forward_time: 615.2947387695, propagate_backward_time: 931.7836914063, weight_update_time: 1.6245375872, other_time: 15.0493774414
epoch time: 150.9049682617s, input_fired_time: 1.4025290012, output_fired_time: 0.0000000000, propagate_forward_time: 146.7137451172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7886962891
validation[          , genome  6398] predictions:    5420/  10000 (54.20%), best:    5420/10000 (54.20%), error:     14511.90137, best error:     14511.90137 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1560.5642089844s, input_fired_time: 10.2049627304, output_fired_time: 9.8274068832, propagate_forward_time: 605.9300537109, propagate_backward_time: 919.1651000977, weight_update_time: 1.6271202564, other_time: 15.4367065430
epoch time: 81.5317840576s, input_fired_time: 1.0227787495, output_fired_time: 0.0000000000, propagate_forward_time: 78.0414199829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4675827026
validation[          , genome  6398] predictions:    5034/  10000 (50.34%), best:    5420/10000 (54.20%), error:     15759.20313, best error:     14511.90137 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1479.3206787109s, input_fired_time: 9.6325798035, output_fired_time: 9.2115640640, propagate_forward_time: 572.9686279297, propagate_backward_time: 872.9959716797, weight_update_time: 1.5526195765, other_time: 14.5119628906
epoch time: 109.4257354736s, input_fired_time: 1.1438981295, output_fired_time: 0.0000000000, propagate_forward_time: 105.8171539307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4646835327
validation[          , genome  6398] predictions:    5401/  10000 (54.01%), best:    5420/10000 (54.20%), error:     14878.48828, best error:     14511.90137 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1390.8552246094s, input_fired_time: 9.7609901428, output_fired_time: 8.8024148941, propagate_forward_time: 534.4796752930, propagate_backward_time: 822.4628906250, weight_update_time: 1.5380948782, other_time: 15.3493041992
epoch time: 134.3993682861s, input_fired_time: 1.3656630516, output_fired_time: 0.0000000000, propagate_forward_time: 130.1991577148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8345489502
validation[          , genome  6398] predictions:    5186/  10000 (51.86%), best:    5420/10000 (54.20%), error:     14916.75781, best error:     14511.90137 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1668.4041748047s, input_fired_time: 10.8026180267, output_fired_time: 10.5132446289, propagate_forward_time: 649.5971679688, propagate_backward_time: 981.1574096680, weight_update_time: 1.7185080051, other_time: 16.3338012695
epoch time: 80.8211669922s, input_fired_time: 1.0209507942, output_fired_time: 0.0000000000, propagate_forward_time: 77.3668441772, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4333724976
validation[          , genome  6398] predictions:    5108/  10000 (51.08%), best:    5420/10000 (54.20%), error:     15899.58594, best error:     14511.90137 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1230.1351318359s, input_fired_time: 9.1528587341, output_fired_time: 7.8262968063, propagate_forward_time: 467.9618835449, propagate_backward_time: 730.5455932617, weight_update_time: 1.4268230200, other_time: 14.6484985352
epoch time: 134.6033172607s, input_fired_time: 1.3087543249, output_fired_time: 0.0000000000, propagate_forward_time: 130.6300201416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6645355225
validation[          , genome  6398] predictions:    5270/  10000 (52.70%), best:    5420/10000 (54.20%), error:     14836.47070, best error:     14511.90137 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1362.3034667969s, input_fired_time: 9.3638753891, output_fired_time: 8.5405969620, propagate_forward_time: 524.0936279297, propagate_backward_time: 805.8683471680, weight_update_time: 1.4927484989, other_time: 14.4369506836
epoch time: 111.1886901855s, input_fired_time: 1.1592162848, output_fired_time: 0.0000000000, propagate_forward_time: 107.5466461182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4828262329
validation[          , genome  6398] predictions:    5337/  10000 (53.37%), best:    5420/10000 (54.20%), error:     14759.06055, best error:     14511.90137 on epoch:     4, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1474.1307373047s, input_fired_time: 9.8836259842, output_fired_time: 9.2811965942, propagate_forward_time: 569.3060913086, propagate_backward_time: 870.6820068359, weight_update_time: 1.5716376305, other_time: 14.9777221680
epoch time: 82.8511810303s, input_fired_time: 0.9774206281, output_fired_time: 0.0000000000, propagate_forward_time: 79.5534515381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3203125000
validation[          , genome  6398] predictions:    5307/  10000 (53.07%), best:    5420/10000 (54.20%), error:     14802.34180, best error:     14511.90137 on epoch:     4, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1497.3337402344s, input_fired_time: 9.7825794220, output_fired_time: 9.3817148209, propagate_forward_time: 579.4267578125, propagate_backward_time: 883.9160766602, weight_update_time: 1.5699510574, other_time: 14.8265991211
epoch time: 141.9663543701s, input_fired_time: 1.3402644396, output_fired_time: 0.0000000000, propagate_forward_time: 137.8778228760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7482604980
validation[          , genome  6398] predictions:    5112/  10000 (51.12%), best:    5420/10000 (54.20%), error:     15381.01660, best error:     14511.90137 on epoch:     4, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1489.0401611328s, input_fired_time: 10.1249418259, output_fired_time: 9.3951854706, propagate_forward_time: 576.2746582031, propagate_backward_time: 877.8685302734, weight_update_time: 1.5978404284, other_time: 15.3768310547
epoch time: 83.4846115112s, input_fired_time: 1.0308263302, output_fired_time: 0.0000000000, propagate_forward_time: 80.0569229126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3968658447
validation[          , genome  6398] predictions:    5289/  10000 (52.89%), best:    5420/10000 (54.20%), error:     14716.84375, best error:     14511.90137 on epoch:     4, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1407.6972656250s, input_fired_time: 9.4540872574, output_fired_time: 8.8196458817, propagate_forward_time: 542.6259155273, propagate_backward_time: 832.3344116211, weight_update_time: 1.5110592842, other_time: 14.4631347656
epoch time: 153.6077270508s, input_fired_time: 1.4508832693, output_fired_time: 0.0000000000, propagate_forward_time: 149.3498992920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8069458008
validation[          , genome  6398] predictions:    5312/  10000 (53.12%), best:    5312/10000 (53.12%), error:     14298.26270, best error:     14298.26270 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1587.1940917969s, input_fired_time: 10.1441354752, output_fired_time: 9.9114685059, propagate_forward_time: 617.7167358398, propagate_backward_time: 934.2800292969, weight_update_time: 1.6276695728, other_time: 15.1416625977
epoch time: 124.1997985840s, input_fired_time: 1.2474889755, output_fired_time: 0.0000000000, propagate_forward_time: 120.3457183838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6065902710
validation[          , genome  6398] predictions:    5546/  10000 (55.46%), best:    5546/10000 (55.46%), error:     14144.63672, best error:     14144.63672 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1512.1607666016s, input_fired_time: 9.8518838882, output_fired_time: 9.4781608582, propagate_forward_time: 585.1584472656, propagate_backward_time: 892.8554077148, weight_update_time: 1.5772707462, other_time: 14.8168334961
epoch time: 144.7681579590s, input_fired_time: 1.4524991512, output_fired_time: 0.0000000000, propagate_forward_time: 140.4215240479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8941345215
validation[          , genome  6398] predictions:    5417/  10000 (54.17%), best:    5546/10000 (55.46%), error:     14246.35547, best error:     14144.63672 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1395.2741699219s, input_fired_time: 9.8202295303, output_fired_time: 8.8400106430, propagate_forward_time: 537.0238647461, propagate_backward_time: 824.5982666016, weight_update_time: 1.5354424715, other_time: 14.9918823242
epoch time: 137.6341247559s, input_fired_time: 1.4097899199, output_fired_time: 0.0000000000, propagate_forward_time: 133.3789978027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8453369141
validation[          , genome  6398] predictions:    5201/  10000 (52.01%), best:    5546/10000 (55.46%), error:     14895.03613, best error:     14144.63672 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1680.9802246094s, input_fired_time: 10.6483907700, output_fired_time: 10.5350666046, propagate_forward_time: 655.2096557617, propagate_backward_time: 988.8671875000, weight_update_time: 1.6992859840, other_time: 15.7199096680
epoch time: 135.1408233643s, input_fired_time: 1.3345154524, output_fired_time: 0.0000000000, propagate_forward_time: 131.0837402344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7225646973
validation[          , genome  6398] predictions:    5607/  10000 (56.07%), best:    5607/10000 (56.07%), error:     13469.07422, best error:     13469.07422 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1708.6916503906s, input_fired_time: 10.6474494934, output_fired_time: 10.6775465012, propagate_forward_time: 666.6652832031, propagate_backward_time: 1005.1336669922, weight_update_time: 1.7018083334, other_time: 15.5677490234
epoch time: 84.5164489746s, input_fired_time: 0.9999655485, output_fired_time: 0.0000000000, propagate_forward_time: 81.1418457031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3746414185
validation[          , genome  6398] predictions:    5432/  10000 (54.32%), best:    5607/10000 (56.07%), error:     14385.85938, best error:     13469.07422 on epoch:    18, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1349.8712158203s, input_fired_time: 9.2176523209, output_fired_time: 8.4537410736, propagate_forward_time: 518.1268920898, propagate_backward_time: 800.0010986328, weight_update_time: 1.4706221819, other_time: 14.0718383789
epoch time: 128.4090576172s, input_fired_time: 1.2774603367, output_fired_time: 0.0000000000, propagate_forward_time: 124.5253448486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6062545776
validation[          , genome  6398] predictions:    5682/  10000 (56.82%), best:    5682/10000 (56.82%), error:     13239.54199, best error:     13239.54199 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1518.8039550781s, input_fired_time: 9.9393959045, output_fired_time: 9.4740142822, propagate_forward_time: 589.5227050781, propagate_backward_time: 895.1362304688, weight_update_time: 1.5796985626, other_time: 14.7315673828
epoch time: 87.3990478516s, input_fired_time: 1.0138041973, output_fired_time: 0.0000000000, propagate_forward_time: 84.1026611328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2825851440
validation[          , genome  6398] predictions:    5704/  10000 (57.04%), best:    5682/10000 (56.82%), error:     13362.41895, best error:     13239.54199 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1385.1451416016s, input_fired_time: 9.3808164597, output_fired_time: 8.6605548859, propagate_forward_time: 533.2398681641, propagate_backward_time: 819.6895141602, weight_update_time: 1.4961822033, other_time: 14.1743774414
epoch time: 99.2082443237s, input_fired_time: 1.0864267349, output_fired_time: 0.0000000000, propagate_forward_time: 95.7505035400, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3713150024
validation[          , genome  6398] predictions:    5571/  10000 (55.71%), best:    5682/10000 (56.82%), error:     13875.24902, best error:     13239.54199 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1475.3900146484s, input_fired_time: 9.7447929382, output_fired_time: 9.2335433960, propagate_forward_time: 570.4994506836, propagate_backward_time: 871.3914184570, weight_update_time: 1.5509970188, other_time: 14.5208740234
epoch time: 114.6583251953s, input_fired_time: 1.1883897781, output_fired_time: 0.0000000000, propagate_forward_time: 110.9765701294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4933624268
validation[          , genome  6398] predictions:    5501/  10000 (55.01%), best:    5682/10000 (56.82%), error:     13988.61719, best error:     13239.54199 on epoch:    20, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1243.1601562500s, input_fired_time: 9.0942735672, output_fired_time: 7.8456907272, propagate_forward_time: 474.8243713379, propagate_backward_time: 737.2080688477, weight_update_time: 1.4186708927, other_time: 14.1878051758
epoch time: 100.4183959961s, input_fired_time: 1.1622451544, output_fired_time: 0.0000000000, propagate_forward_time: 96.6845855713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5715637207
validation[          , genome  6398] predictions:    5703/  10000 (57.03%), best:    5682/10000 (56.82%), error:     13288.79590, best error:     13239.54199 on epoch:    20, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1431.4355468750s, input_fired_time: 9.6132955551, output_fired_time: 8.9761238098, propagate_forward_time: 551.6611328125, propagate_backward_time: 846.7443237305, weight_update_time: 1.5246487856, other_time: 14.4407348633
epoch time: 150.8127746582s, input_fired_time: 1.4558739662, output_fired_time: 0.0000000000, propagate_forward_time: 146.5500030518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8069000244
validation[          , genome  6398] predictions:    5794/  10000 (57.94%), best:    5794/10000 (57.94%), error:     13050.19434, best error:     13050.19434 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: 575.6643066406s, input_fired_time: 6.0274081230, output_fired_time: 0.0000000000, propagate_forward_time: 557.0244140625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.6124877930
best training[          , genome  6398] predictions:   32547/  50000 (65.09%), best:    5794/10000 (57.94%), error:     51663.46875, best error:     13050.19434 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: 119.8865737915s, input_fired_time: 1.2352651358, output_fired_time: 0.0000000000, propagate_forward_time: 116.1121826172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5391235352
   testing[          , genome  6398] predictions:    5794/  10000 (57.94%), best:    5794/10000 (57.94%), error:     13050.19434, best error:     13050.19434 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
18:56:16 (3208): called boinc_finish(0)

</stderr_txt>
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