Nameexact_genome_1542727803_167_6406_1
Workunit4101223
Created20 Nov 2018, 19:18:31 UTC
Sent20 Nov 2018, 19:18:54 UTC
Report deadline22 Dec 2018, 21:41:52 UTC
Received23 Nov 2018, 1:04:16 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID46079
Run time9 hours 12 min 41 sec
CPU time9 hours 9 min 48 sec
Validate stateValid
Credit8,024.82
Device peak FLOPS4.29 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size521.76 MB
Peak swap size520.35 MB
Peak disk usage13.04 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_1542727803_167_6406.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6406_1_r688841238_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6406.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: 6406
read normal distribution: '1 0 0'
generator_str: '703108066'
read generator: 703108066
read generated_by_map:
1 enable_edge 1
reading 105 nodes.
reading 463 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: 1682239468
post shuffle 1: 1652084050
epoch time: 1142.97644042969s, input_fired_time: 19.675500869751, output_fired_time: 8.47331237792969, propagate_forward_time: 422.734588623047, propagate_backward_time: 632.045043945313, weight_update_time: 1.76573622226715, other_time: 60.0479736328125
epoch time: 102.888252258301s, input_fired_time: 2.50207281112671, output_fired_time: 0, propagate_forward_time: 85.1231460571289, propagate_backward_time: 0, weight_update_time: 0, other_time: 15.2630310058594
validation[          , genome  6406] predictions:    5026/  10000 (50.26%), best:    5026/10000 (50.26%), error:     17590.96289, best error:     17590.96289 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1137.4663085938s, input_fired_time: 19.0437545776, output_fired_time: 8.2551250458, propagate_forward_time: 420.9446716309, propagate_backward_time: 631.2581176758, weight_update_time: 1.7503507137, other_time: 57.9646606445
epoch time: 102.1365737915s, input_fired_time: 2.4376766682, output_fired_time: 0.0000000000, propagate_forward_time: 84.9023513794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.7965469360
validation[          , genome  6406] predictions:    4993/  10000 (49.93%), best:    4993/10000 (49.93%), error:     17398.33984, best error:     17398.33984 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1138.9437255859s, input_fired_time: 19.0007076263, output_fired_time: 8.2334222794, propagate_forward_time: 422.2845458984, propagate_backward_time: 631.8709106445, weight_update_time: 1.7506554127, other_time: 57.5541381836
epoch time: 96.6784210205s, input_fired_time: 1.8374567032, output_fired_time: 0.0000000000, propagate_forward_time: 84.2276763916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.6132888794
validation[          , genome  6406] predictions:    4918/  10000 (49.18%), best:    4918/10000 (49.18%), error:     16937.21875, best error:     16937.21875 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1156.2554931641s, input_fired_time: 22.8042240143, output_fired_time: 9.4344501495, propagate_forward_time: 422.0841369629, propagate_backward_time: 631.3717651367, weight_update_time: 1.8200743198, other_time: 70.5609741211
epoch time: 100.4780731201s, input_fired_time: 2.2141211033, output_fired_time: 0.0000000000, propagate_forward_time: 84.9584121704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.3055419922
validation[          , genome  6406] predictions:    4866/  10000 (48.66%), best:    4866/10000 (48.66%), error:     16809.03711, best error:     16809.03711 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1150.8983154297s, input_fired_time: 21.6341953278, output_fired_time: 9.0616436005, propagate_forward_time: 421.9020080566, propagate_backward_time: 631.8729858398, weight_update_time: 1.8012878895, other_time: 66.4275512695
epoch time: 103.0196304321s, input_fired_time: 2.4857208729, output_fired_time: 0.0000000000, propagate_forward_time: 85.2212600708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.3126525879
validation[          , genome  6406] predictions:    4949/  10000 (49.49%), best:    4949/10000 (49.49%), error:     15945.53906, best error:     15945.53906 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1146.3050537109s, input_fired_time: 20.7208805084, output_fired_time: 8.7764568329, propagate_forward_time: 421.8411254883, propagate_backward_time: 631.4993286133, weight_update_time: 1.7811214924, other_time: 63.4672851563
epoch time: 103.7593154907s, input_fired_time: 2.5014808178, output_fired_time: 0.0000000000, propagate_forward_time: 85.8305358887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.4272994995
validation[          , genome  6406] predictions:    4961/  10000 (49.61%), best:    4949/10000 (49.49%), error:     16020.42285, best error:     15945.53906 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1140.4014892578s, input_fired_time: 19.7690868378, output_fired_time: 8.4751129150, propagate_forward_time: 421.3325195313, propagate_backward_time: 630.6527099609, weight_update_time: 1.7612154484, other_time: 60.1721191406
epoch time: 100.2302169800s, input_fired_time: 2.1571753025, output_fired_time: 0.0000000000, propagate_forward_time: 85.1927947998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.8802490234
validation[          , genome  6406] predictions:    4940/  10000 (49.40%), best:    4949/10000 (49.49%), error:     16269.77930, best error:     15945.53906 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1147.7750244141s, input_fired_time: 20.7747364044, output_fired_time: 8.7823209763, propagate_forward_time: 422.1455688477, propagate_backward_time: 632.5270996094, weight_update_time: 1.7830570936, other_time: 63.5452270508
epoch time: 98.9262466431s, input_fired_time: 1.9654693604, output_fired_time: 0.0000000000, propagate_forward_time: 85.4183273315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5424499512
validation[          , genome  6406] predictions:    5096/  10000 (50.96%), best:    5096/10000 (50.96%), error:     15553.43945, best error:     15553.43945 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1150.9078369141s, input_fired_time: 21.1065902710, output_fired_time: 8.9164762497, propagate_forward_time: 422.9501342773, propagate_backward_time: 633.2392578125, weight_update_time: 1.7920993567, other_time: 64.6953735352
epoch time: 101.2828750610s, input_fired_time: 2.2057805061, output_fired_time: 0.0000000000, propagate_forward_time: 85.8177337646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.2593612671
validation[          , genome  6406] predictions:    5347/  10000 (53.47%), best:    5347/10000 (53.47%), error:     14390.44531, best error:     14390.44531 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1148.8864746094s, input_fired_time: 20.8229026794, output_fired_time: 8.8094244003, propagate_forward_time: 422.7794799805, propagate_backward_time: 632.7510986328, weight_update_time: 1.7905310392, other_time: 63.7235717773
epoch time: 101.8876113892s, input_fired_time: 2.3489022255, output_fired_time: 0.0000000000, propagate_forward_time: 85.3542633057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.1844482422
validation[          , genome  6406] predictions:    5345/  10000 (53.45%), best:    5347/10000 (53.47%), error:     14500.12305, best error:     14390.44531 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1143.0516357422s, input_fired_time: 19.5685501099, output_fired_time: 8.4237003326, propagate_forward_time: 422.7508239746, propagate_backward_time: 632.0957641602, weight_update_time: 1.7617442608, other_time: 60.2127075195
epoch time: 102.9062805176s, input_fired_time: 2.5064020157, output_fired_time: 0.0000000000, propagate_forward_time: 85.1537322998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.2461471558
validation[          , genome  6406] predictions:    5154/  10000 (51.54%), best:    5347/10000 (53.47%), error:     15724.74707, best error:     14390.44531 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1142.4031982422s, input_fired_time: 19.3061370850, output_fired_time: 8.3493757248, propagate_forward_time: 423.7977905273, propagate_backward_time: 632.0858154297, weight_update_time: 1.7592792511, other_time: 58.8640747070
epoch time: 103.9001693726s, input_fired_time: 2.5321676731, output_fired_time: 0.0000000000, propagate_forward_time: 85.9530029297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.4150009155
validation[          , genome  6406] predictions:    4835/  10000 (48.35%), best:    5347/10000 (53.47%), error:     17979.99414, best error:     14390.44531 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1154.5634765625s, input_fired_time: 22.3963279724, output_fired_time: 9.2709846497, propagate_forward_time: 421.8521118164, propagate_backward_time: 632.3901977539, weight_update_time: 1.8151863813, other_time: 68.6538085938
epoch time: 99.1762008667s, input_fired_time: 2.1216113567, output_fired_time: 0.0000000000, propagate_forward_time: 84.4935150146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.5610733032
validation[          , genome  6406] predictions:    5007/  10000 (50.07%), best:    5347/10000 (53.47%), error:     15644.01465, best error:     14390.44531 on epoch:     8, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1142.9143066406s, input_fired_time: 19.8886051178, output_fired_time: 8.5271034241, propagate_forward_time: 422.2820129395, propagate_backward_time: 631.5639038086, weight_update_time: 1.7656292915, other_time: 60.6527709961
epoch time: 100.2681961060s, input_fired_time: 2.0832757950, output_fired_time: 0.0000000000, propagate_forward_time: 85.7630767822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.4218444824
validation[          , genome  6406] predictions:    5569/  10000 (55.69%), best:    5569/10000 (55.69%), error:     13719.62402, best error:     13719.62402 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1149.8699951172s, input_fired_time: 21.3483772278, output_fired_time: 8.9651136398, propagate_forward_time: 422.2228393555, propagate_backward_time: 631.5322875977, weight_update_time: 1.7927136421, other_time: 65.8013916016
epoch time: 103.4126892090s, input_fired_time: 2.4862663746, output_fired_time: 0.0000000000, propagate_forward_time: 85.7550430298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.1713790894
validation[          , genome  6406] predictions:    5490/  10000 (54.90%), best:    5569/10000 (55.69%), error:     13999.89453, best error:     13719.62402 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1152.2587890625s, input_fired_time: 21.0822410583, output_fired_time: 8.8856077194, propagate_forward_time: 423.3642272949, propagate_backward_time: 634.4430541992, weight_update_time: 1.7916750908, other_time: 64.4835815430
epoch time: 103.7041091919s, input_fired_time: 2.5364387035, output_fired_time: 0.0000000000, propagate_forward_time: 85.7828369141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.3848342896
validation[          , genome  6406] predictions:    5491/  10000 (54.91%), best:    5569/10000 (55.69%), error:     13760.32617, best error:     13719.62402 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1146.0408935547s, input_fired_time: 20.0387096405, output_fired_time: 8.5867786407, propagate_forward_time: 422.9746398926, propagate_backward_time: 633.4571533203, weight_update_time: 1.7742917538, other_time: 60.9836425781
epoch time: 101.2621765137s, input_fired_time: 2.3928413391, output_fired_time: 0.0000000000, propagate_forward_time: 84.4904937744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.3788452148
validation[          , genome  6406] predictions:    5443/  10000 (54.43%), best:    5569/10000 (55.69%), error:     14419.45996, best error:     13719.62402 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1146.0947265625s, input_fired_time: 19.0810508728, output_fired_time: 8.2697086334, propagate_forward_time: 425.0063171387, propagate_backward_time: 635.7872314453, weight_update_time: 1.7600406408, other_time: 57.9504394531
epoch time: 101.0624542236s, input_fired_time: 2.2680921555, output_fired_time: 0.0000000000, propagate_forward_time: 85.2162170410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.5781478882
validation[          , genome  6406] predictions:    5456/  10000 (54.56%), best:    5569/10000 (55.69%), error:     14302.28125, best error:     13719.62402 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1155.4241943359s, input_fired_time: 22.0801143646, output_fired_time: 9.2050104141, propagate_forward_time: 422.7067260742, propagate_backward_time: 633.7166748047, weight_update_time: 1.8087924719, other_time: 67.7157592773
epoch time: 102.9624710083s, input_fired_time: 2.5011119843, output_fired_time: 0.0000000000, propagate_forward_time: 85.1842269897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.2771301270
validation[          , genome  6406] predictions:    5195/  10000 (51.95%), best:    5569/10000 (55.69%), error:     15612.24219, best error:     13719.62402 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1148.7518310547s, input_fired_time: 20.5685062408, output_fired_time: 8.7354860306, propagate_forward_time: 422.7351074219, propagate_backward_time: 633.8997802734, weight_update_time: 1.7814162970, other_time: 62.8129882813
epoch time: 98.2927474976s, input_fired_time: 2.0493409634, output_fired_time: 0.0000000000, propagate_forward_time: 84.2825546265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9608535767
validation[          , genome  6406] predictions:    5490/  10000 (54.90%), best:    5569/10000 (55.69%), error:     14380.98438, best error:     13719.62402 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1158.3144531250s, input_fired_time: 22.1374225616, output_fired_time: 9.2039813995, propagate_forward_time: 424.7700805664, propagate_backward_time: 634.5708007813, weight_update_time: 1.8134968281, other_time: 67.6321411133
epoch time: 103.5629959106s, input_fired_time: 2.5303165913, output_fired_time: 0.0000000000, propagate_forward_time: 85.7014236450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.3312530518
validation[          , genome  6406] predictions:    5393/  10000 (53.93%), best:    5569/10000 (55.69%), error:     14272.84668, best error:     13719.62402 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1142.7073974609s, input_fired_time: 19.9410514832, output_fired_time: 8.5172109604, propagate_forward_time: 421.9619140625, propagate_backward_time: 631.6835937500, weight_update_time: 1.7702198029, other_time: 60.6036376953
epoch time: 96.9174499512s, input_fired_time: 1.8301471472, output_fired_time: 0.0000000000, propagate_forward_time: 84.4902191162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5970840454
validation[          , genome  6406] predictions:    5626/  10000 (56.26%), best:    5626/10000 (56.26%), error:     13698.36035, best error:     13698.36035 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1148.6253662109s, input_fired_time: 21.0296287537, output_fired_time: 8.8524246216, propagate_forward_time: 422.2975158691, propagate_backward_time: 632.3951416016, weight_update_time: 1.7861560583, other_time: 64.0506591797
epoch time: 96.2527160645s, input_fired_time: 1.8266791105, output_fired_time: 0.0000000000, propagate_forward_time: 83.9151992798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5108413696
validation[          , genome  6406] predictions:    5571/  10000 (55.71%), best:    5571/10000 (55.71%), error:     13669.11133, best error:     13669.11133 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1155.4691162109s, input_fired_time: 21.7227916718, output_fired_time: 9.0680055618, propagate_forward_time: 424.2638549805, propagate_backward_time: 633.9491577148, weight_update_time: 1.8065441847, other_time: 66.4653320313
epoch time: 101.5809936523s, input_fired_time: 2.3051793575, output_fired_time: 0.0000000000, propagate_forward_time: 85.5591812134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.7166366577
validation[          , genome  6406] predictions:    5703/  10000 (57.03%), best:    5703/10000 (57.03%), error:     13140.62012, best error:     13140.62012 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1155.3093261719s, input_fired_time: 22.2609386444, output_fired_time: 9.2198486328, propagate_forward_time: 422.8622131348, propagate_backward_time: 632.8453369141, weight_update_time: 1.8128548861, other_time: 68.1209716797
epoch time: 101.8626785278s, input_fired_time: 2.5121214390, output_fired_time: 0.0000000000, propagate_forward_time: 84.3373184204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.0132369995
validation[          , genome  6406] predictions:    5595/  10000 (55.95%), best:    5703/10000 (57.03%), error:     13612.66602, best error:     13140.62012 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1158.6168212891s, input_fired_time: 23.3191833496, output_fired_time: 9.5254459381, propagate_forward_time: 422.4468994141, propagate_backward_time: 632.0075683594, weight_update_time: 1.8314366341, other_time: 71.3177490234
epoch time: 102.3229522705s, input_fired_time: 2.5131273270, output_fired_time: 0.0000000000, propagate_forward_time: 84.5854721069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.2243499756
validation[          , genome  6406] predictions:    5530/  10000 (55.30%), best:    5703/10000 (57.03%), error:     13567.05176, best error:     13140.62012 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: 500.6255493164s, input_fired_time: 11.2349777222, output_fired_time: 0.0000000000, propagate_forward_time: 422.6031188965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 66.7874450684
best training[          , genome  6406] predictions:   32407/  50000 (64.81%), best:    5703/10000 (57.03%), error:     51662.03906, best error:     13140.62012 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: 102.8875961304s, input_fired_time: 2.5192613602, output_fired_time: 0.0000000000, propagate_forward_time: 85.1310882568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.2372436523
   testing[          , genome  6406] predictions:    5703/  10000 (57.03%), best:    5703/10000 (57.03%), error:     13140.62012, best error:     13140.62012 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
19:04:02 (5288): called boinc_finish(0)

</stderr_txt>
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