Nameexact_genome_1542579005_171_6286_0
Workunit4098049
Created18 Nov 2018, 23:52:12 UTC
Sent18 Nov 2018, 23:55:31 UTC
Report deadline21 Dec 2018, 17:24:48 UTC
Received21 Nov 2018, 0:36:38 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time8 hours 34 min 47 sec
CPU time8 hours 28 min 39 sec
Validate stateValid
Credit8,182.17
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size585.29 MB
Peak swap size605.16 MB
Peak disk usage13.86 MB

Stderr output

<core_client_version>7.8.3</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_1542579005_171_6286.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542579005_171_6286_0_r917200658_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542579005_171_6286.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.465301
read mu: 0.465301
read mu_delta: 0.96709
read initial_learning_rate: 0.000675935
read learning_rate: 0.000675935
read learning_rate_delta: 0.923477
read initial_weight_decay: 0.000260888
read weight_decay: 0.000260888
read weight_decay_delta: 0.928914
read batch_size: 112
read epsilon: 1e-07
read alpha: 0.091866
read input_dropout_probability: 0.00142208
read hidden_dropout_probability: 0.120231
read velocity_reset: 1689
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: 6286
read normal distribution: '1 0 0'
generator_str: '32847041'
read generator: 32847041
read generated_by_map:
1 disable_node 1
reading 116 nodes.
reading 462 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: 156920808
post shuffle 1: 1296232890
epoch time: 1105.04113769531s, input_fired_time: 18.7888927459717, output_fired_time: 6.27731513977051, propagate_forward_time: 318.919830322266, propagate_backward_time: 752.70556640625, weight_update_time: 0.222939595580101, other_time: 8.3494873046875
epoch time: 66.1789321899414s, input_fired_time: 1.09136044979095, output_fired_time: 0, propagate_forward_time: 63.6747550964355, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.41281509399414
validation[          , genome  6286] predictions:    5885/  10000 (58.85%), best:    5885/10000 (58.85%), error:     11742.01465, best error:     11742.01465 on epoch:     0, epoch:    0/25, mu: 0.4653009176, learning_rate: 0.0006759345, weight_decay: 0.0002608875

epoch time: 1104.3710937500s, input_fired_time: 18.8676109314, output_fired_time: 6.2258539200, propagate_forward_time: 319.0983276367, propagate_backward_time: 751.3153076172, weight_update_time: 0.2219115347, other_time: 8.8640747070
epoch time: 66.2288055420s, input_fired_time: 1.0878043175, output_fired_time: 0.0000000000, propagate_forward_time: 63.7292976379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4117012024
validation[          , genome  6286] predictions:    5998/  10000 (59.98%), best:    5998/10000 (59.98%), error:     11617.38184, best error:     11617.38184 on epoch:     1, epoch:    1/25, mu: 0.4825685918, learning_rate: 0.0006242097, weight_decay: 0.0002423422

epoch time: 1103.6474609375s, input_fired_time: 18.8242759705, output_fired_time: 6.2453060150, propagate_forward_time: 318.0357360840, propagate_backward_time: 751.9702758789, weight_update_time: 0.2225301266, other_time: 8.5718383789
epoch time: 68.0911865234s, input_fired_time: 1.1099889278, output_fired_time: 0.0000000000, propagate_forward_time: 65.5181045532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4630966187
validation[          , genome  6286] predictions:    5865/  10000 (58.65%), best:    5998/10000 (59.98%), error:     11835.64844, best error:     11617.38184 on epoch:     1, epoch:    2/25, mu: 0.4992679954, learning_rate: 0.0005764430, weight_decay: 0.0002251151

epoch time: 1105.2314453125s, input_fired_time: 18.8417148590, output_fired_time: 6.2420048714, propagate_forward_time: 318.5050048828, propagate_backward_time: 753.1511230469, weight_update_time: 0.2220943868, other_time: 8.4915771484
epoch time: 66.2411270142s, input_fired_time: 1.0916715860, output_fired_time: 0.0000000000, propagate_forward_time: 63.7160835266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4333686829
validation[          , genome  6286] predictions:    6066/  10000 (60.66%), best:    6066/10000 (60.66%), error:     11461.55176, best error:     11461.55176 on epoch:     3, epoch:    3/25, mu: 0.5154178143, learning_rate: 0.0005323315, weight_decay: 0.0002091127

epoch time: 1115.2541503906s, input_fired_time: 19.1203308105, output_fired_time: 6.3815541267, propagate_forward_time: 322.5696105957, propagate_backward_time: 758.4220581055, weight_update_time: 0.2246290892, other_time: 8.7605590820
epoch time: 66.4534378052s, input_fired_time: 1.0850501060, output_fired_time: 0.0000000000, propagate_forward_time: 63.9416122437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4267730713
validation[          , genome  6286] predictions:    5942/  10000 (59.42%), best:    6066/10000 (60.66%), error:     11796.74414, best error:     11461.55176 on epoch:     3, epoch:    4/25, mu: 0.5310361385, learning_rate: 0.0004915957, weight_decay: 0.0001942478

epoch time: 1107.2221679688s, input_fired_time: 18.8956851959, output_fired_time: 6.2556591034, propagate_forward_time: 319.3073425293, propagate_backward_time: 754.2343139648, weight_update_time: 0.2220261097, other_time: 8.5292358398
epoch time: 66.2089309692s, input_fired_time: 1.0859345198, output_fired_time: 0.0000000000, propagate_forward_time: 63.7099342346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4130592346
validation[          , genome  6286] predictions:    5888/  10000 (58.88%), best:    6066/10000 (60.66%), error:     11879.24023, best error:     11461.55176 on epoch:     3, epoch:    5/25, mu: 0.5461404920, learning_rate: 0.0004539770, weight_decay: 0.0001804395

epoch time: 1114.1682128906s, input_fired_time: 19.1552181244, output_fired_time: 6.3183784485, propagate_forward_time: 322.6379089355, propagate_backward_time: 757.1170654297, weight_update_time: 0.2261100560, other_time: 8.9395751953
epoch time: 66.7638397217s, input_fired_time: 1.1078122854, output_fired_time: 0.0000000000, propagate_forward_time: 64.2131347656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4428939819
validation[          , genome  6286] predictions:    6314/  10000 (63.14%), best:    6314/10000 (63.14%), error:     10832.35254, best error:     10832.35254 on epoch:     6, epoch:    6/25, mu: 0.5607477427, learning_rate: 0.0004192371, weight_decay: 0.0001676129

epoch time: 1102.5069580078s, input_fired_time: 18.8901462555, output_fired_time: 6.2575163841, propagate_forward_time: 318.6832885742, propagate_backward_time: 750.1790771484, weight_update_time: 0.2228948474, other_time: 8.4968872070
epoch time: 66.3951492310s, input_fired_time: 1.0954350233, output_fired_time: 0.0000000000, propagate_forward_time: 63.8761520386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4235610962
validation[          , genome  6286] predictions:    6174/  10000 (61.74%), best:    6314/10000 (63.14%), error:     11166.59961, best error:     10832.35254 on epoch:     6, epoch:    7/25, mu: 0.5748742819, learning_rate: 0.0003871557, weight_decay: 0.0001556980

epoch time: 1101.9969482422s, input_fired_time: 18.8077545166, output_fired_time: 6.2165379524, propagate_forward_time: 317.8189086914, propagate_backward_time: 750.6947631836, weight_update_time: 0.2217148542, other_time: 8.4589843750
epoch time: 66.1915054321s, input_fired_time: 1.0940080881, output_fired_time: 0.0000000000, propagate_forward_time: 63.6817855835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4157104492
validation[          , genome  6286] predictions:    5912/  10000 (59.12%), best:    6314/10000 (63.14%), error:     11619.54980, best error:     10832.35254 on epoch:     6, epoch:    8/25, mu: 0.5885359645, learning_rate: 0.0003575291, weight_decay: 0.0001446301

epoch time: 1104.3961181641s, input_fired_time: 18.9142303467, output_fired_time: 6.2669448853, propagate_forward_time: 318.9482421875, propagate_backward_time: 751.7526245117, weight_update_time: 0.2227832824, other_time: 8.5140991211
epoch time: 66.6605606079s, input_fired_time: 1.1027076244, output_fired_time: 0.0000000000, propagate_forward_time: 64.1231842041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4346694946
validation[          , genome  6286] predictions:    6120/  10000 (61.20%), best:    6314/10000 (63.14%), error:     11312.39941, best error:     10832.35254 on epoch:     6, epoch:    9/25, mu: 0.6017480493, learning_rate: 0.0003301698, weight_decay: 0.0001343490

epoch time: 1105.9787597656s, input_fired_time: 18.8872833252, output_fired_time: 6.2193183899, propagate_forward_time: 318.8894348145, propagate_backward_time: 753.0297851563, weight_update_time: 0.2417144328, other_time: 8.9528808594
epoch time: 67.0787277222s, input_fired_time: 1.1186691523, output_fired_time: 0.0000000000, propagate_forward_time: 64.4880294800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4720306396
validation[          , genome  6286] predictions:    6064/  10000 (60.64%), best:    6314/10000 (63.14%), error:     11287.58398, best error:     10832.35254 on epoch:     6, epoch:   10/25, mu: 0.6145253181, learning_rate: 0.0003049040, weight_decay: 0.0001247987

epoch time: 1109.2298583984s, input_fired_time: 18.9852638245, output_fired_time: 6.2898731232, propagate_forward_time: 320.2666625977, propagate_backward_time: 755.0377197266, weight_update_time: 0.2275142819, other_time: 8.6503295898
epoch time: 66.8945541382s, input_fired_time: 1.1220703125, output_fired_time: 0.0000000000, propagate_forward_time: 64.3346710205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4378128052
validation[          , genome  6286] predictions:    6402/  10000 (64.02%), best:    6402/10000 (64.02%), error:     10546.52246, best error:     10546.52246 on epoch:    11, epoch:   11/25, mu: 0.6268820763, learning_rate: 0.0002815717, weight_decay: 0.0001159273

epoch time: 1108.6965332031s, input_fired_time: 18.9907836914, output_fired_time: 6.2595310211, propagate_forward_time: 319.2689208984, propagate_backward_time: 755.6473999023, weight_update_time: 0.2224709690, other_time: 8.5299682617
epoch time: 68.5861511230s, input_fired_time: 1.1357628107, output_fired_time: 0.0000000000, propagate_forward_time: 65.9527435303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4976425171
validation[          , genome  6286] predictions:    5921/  10000 (59.21%), best:    6402/10000 (64.02%), error:     11746.84180, best error:     10546.52246 on epoch:    11, epoch:   12/25, mu: 0.6388321519, learning_rate: 0.0002600249, weight_decay: 0.0001076866

epoch time: 1104.7580566406s, input_fired_time: 18.8704776764, output_fired_time: 6.2436027527, propagate_forward_time: 319.5503845215, propagate_backward_time: 751.3716430664, weight_update_time: 0.2233735770, other_time: 8.7218627930
epoch time: 66.5825881958s, input_fired_time: 1.1101188660, output_fired_time: 0.0000000000, propagate_forward_time: 64.0469055176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4255676270
validation[          , genome  6286] predictions:    6090/  10000 (60.90%), best:    6402/10000 (64.02%), error:     11155.16699, best error:     10546.52246 on epoch:    11, epoch:   13/25, mu: 0.6503889561, learning_rate: 0.0002401269, weight_decay: 0.0001000316

epoch time: 1102.9958496094s, input_fired_time: 18.8684482574, output_fired_time: 6.2240996361, propagate_forward_time: 318.4021301270, propagate_backward_time: 751.0294189453, weight_update_time: 0.2231419981, other_time: 8.4718017578
epoch time: 67.2595062256s, input_fired_time: 1.1248792410, output_fired_time: 0.0000000000, propagate_forward_time: 64.6589813232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4756469727
validation[          , genome  6286] predictions:    6313/  10000 (63.13%), best:    6402/10000 (64.02%), error:     10736.13379, best error:     10546.52246 on epoch:    11, epoch:   14/25, mu: 0.6615654230, learning_rate: 0.0002217515, weight_decay: 0.0000929208

epoch time: 1104.3381347656s, input_fired_time: 18.8850288391, output_fired_time: 6.2266092300, propagate_forward_time: 317.9681701660, propagate_backward_time: 752.6068115234, weight_update_time: 0.2235288322, other_time: 8.6516113281
epoch time: 67.1863174438s, input_fired_time: 1.1195755005, output_fired_time: 0.0000000000, propagate_forward_time: 64.5469741821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5197677612
validation[          , genome  6286] predictions:    6202/  10000 (62.02%), best:    6402/10000 (64.02%), error:     10993.66504, best error:     10546.52246 on epoch:    11, epoch:   15/25, mu: 0.6723741293, learning_rate: 0.0002047823, weight_decay: 0.0000863155

epoch time: 1106.1406250000s, input_fired_time: 18.9231395721, output_fired_time: 6.2606515884, propagate_forward_time: 318.5737304688, propagate_backward_time: 753.8366699219, weight_update_time: 0.2224231660, other_time: 8.5465087891
epoch time: 66.0008926392s, input_fired_time: 1.0992769003, output_fired_time: 0.0000000000, propagate_forward_time: 63.5009918213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4006271362
validation[          , genome  6286] predictions:    6231/  10000 (62.31%), best:    6402/10000 (64.02%), error:     10904.42480, best error:     10546.52246 on epoch:    11, epoch:   16/25, mu: 0.6828271151, learning_rate: 0.0001891117, weight_decay: 0.0000801797

epoch time: 1106.3919677734s, input_fired_time: 18.9264926910, output_fired_time: 6.2027654648, propagate_forward_time: 317.9025268555, propagate_backward_time: 750.0587768555, weight_update_time: 0.2192301303, other_time: 13.3013916016
epoch time: 90.2858276367s, input_fired_time: 1.3682544231, output_fired_time: 0.0000000000, propagate_forward_time: 78.5349044800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.3826675415
validation[          , genome  6286] predictions:    6332/  10000 (63.32%), best:    6402/10000 (64.02%), error:     10578.89941, best error:     10546.52246 on epoch:    11, epoch:   17/25, mu: 0.6929360628, learning_rate: 0.0001746402, weight_decay: 0.0000744800

epoch time: 1125.4580078125s, input_fired_time: 19.1597938538, output_fired_time: 6.2534747124, propagate_forward_time: 323.0922241211, propagate_backward_time: 762.1915893555, weight_update_time: 0.2537815571, other_time: 14.7609863281
epoch time: 65.7437438965s, input_fired_time: 1.0968962908, output_fired_time: 0.0000000000, propagate_forward_time: 63.2565498352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3903007507
validation[          , genome  6286] predictions:    6112/  10000 (61.12%), best:    6402/10000 (64.02%), error:     11255.71875, best error:     10546.52246 on epoch:    11, epoch:   18/25, mu: 0.7027123570, learning_rate: 0.0001612761, weight_decay: 0.0000691856

epoch time: 1091.9571533203s, input_fired_time: 18.7301597595, output_fired_time: 6.1305298805, propagate_forward_time: 315.4339904785, propagate_backward_time: 742.8252563477, weight_update_time: 0.2186358422, other_time: 8.8373413086
epoch time: 65.8784484863s, input_fired_time: 1.1026889086, output_fired_time: 0.0000000000, propagate_forward_time: 63.3786849976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3970718384
validation[          , genome  6286] predictions:    6373/  10000 (63.73%), best:    6373/10000 (63.73%), error:     10460.87598, best error:     10460.87598 on epoch:    19, epoch:   19/25, mu: 0.7121669054, learning_rate: 0.0001489347, weight_decay: 0.0000642675

epoch time: 1091.0000000000s, input_fired_time: 18.7173461914, output_fired_time: 6.1287140846, propagate_forward_time: 314.9431152344, propagate_backward_time: 742.3912963867, weight_update_time: 0.2227347195, other_time: 8.8196411133
epoch time: 65.8534545898s, input_fired_time: 1.1059702635, output_fired_time: 0.0000000000, propagate_forward_time: 63.3540954590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3933868408
validation[          , genome  6286] predictions:    6341/  10000 (63.41%), best:    6373/10000 (63.73%), error:     10604.37891, best error:     10460.87598 on epoch:    19, epoch:   20/25, mu: 0.7213103175, learning_rate: 0.0001375377, weight_decay: 0.0000596990

epoch time: 1089.9782714844s, input_fired_time: 18.7010440826, output_fired_time: 6.1152672768, propagate_forward_time: 314.7832946777, propagate_backward_time: 741.5460815430, weight_update_time: 0.2191705108, other_time: 8.8325805664
epoch time: 65.7714767456s, input_fired_time: 1.1036583185, output_fired_time: 0.0000000000, propagate_forward_time: 63.2096099854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4582061768
validation[          , genome  6286] predictions:    6422/  10000 (64.22%), best:    6422/10000 (64.22%), error:     10404.13770, best error:     10404.13770 on epoch:    21, epoch:   21/25, mu: 0.7301527858, learning_rate: 0.0001270129, weight_decay: 0.0000554552

epoch time: 1091.0076904297s, input_fired_time: 18.7187576294, output_fired_time: 6.1228108406, propagate_forward_time: 314.9237060547, propagate_backward_time: 742.4356079102, weight_update_time: 0.2181649953, other_time: 8.8068237305
epoch time: 65.8065643311s, input_fired_time: 1.1077595949, output_fired_time: 0.0000000000, propagate_forward_time: 63.2939033508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4049034119
validation[          , genome  6286] predictions:    6297/  10000 (62.97%), best:    6422/10000 (64.22%), error:     10697.51367, best error:     10404.13770 on epoch:    21, epoch:   22/25, mu: 0.7387042642, learning_rate: 0.0001172934, weight_decay: 0.0000515132

epoch time: 1091.0273437500s, input_fired_time: 18.7552452087, output_fired_time: 6.1247506142, propagate_forward_time: 315.1768798828, propagate_backward_time: 742.1169433594, weight_update_time: 0.2208094895, other_time: 8.8535156250
epoch time: 65.8476028442s, input_fired_time: 1.1054434776, output_fired_time: 0.0000000000, propagate_forward_time: 63.3386039734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4035530090
validation[          , genome  6286] predictions:    6287/  10000 (62.87%), best:    6422/10000 (64.22%), error:     10785.04102, best error:     10404.13770 on epoch:    21, epoch:   23/25, mu: 0.7469743490, learning_rate: 0.0001083177, weight_decay: 0.0000478513

epoch time: 1090.9812011719s, input_fired_time: 18.7496318817, output_fired_time: 6.1347899437, propagate_forward_time: 314.8738708496, propagate_backward_time: 742.4078979492, weight_update_time: 0.2184033394, other_time: 8.8150024414
epoch time: 65.7550048828s, input_fired_time: 1.1065733433, output_fired_time: 0.0000000000, propagate_forward_time: 63.2407417297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4076881409
validation[          , genome  6286] predictions:    6470/  10000 (64.70%), best:    6470/10000 (64.70%), error:     10325.68848, best error:     10325.68848 on epoch:    24, epoch:   24/25, mu: 0.7549722195, learning_rate: 0.0001000288, weight_decay: 0.0000444498

epoch time: 1090.7871093750s, input_fired_time: 18.7330036163, output_fired_time: 6.1236734390, propagate_forward_time: 314.7177124023, propagate_backward_time: 742.3757324219, weight_update_time: 0.2220358104, other_time: 8.8369750977
epoch time: 65.8305358887s, input_fired_time: 1.1116811037, output_fired_time: 0.0000000000, propagate_forward_time: 63.3125991821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4062576294
validation[          , genome  6286] predictions:    6491/  10000 (64.91%), best:    6491/10000 (64.91%), error:     10223.86621, best error:     10223.86621 on epoch:    25, epoch:   25/25, mu: 0.7627069354, learning_rate: 0.0000923743, weight_decay: 0.0000412900

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 327.5568542480s, input_fired_time: 5.5481042862, output_fired_time: 0.0000000000, propagate_forward_time: 314.9784240723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0303344727
best training[          , genome  6286] predictions:   34742/  50000 (69.48%), best:    6491/10000 (64.91%), error:     45504.04688, best error:     10223.86621 on epoch:    25, epoch:   26/25, mu: 0.7701870799, learning_rate: 0.0000853055, weight_decay: 0.0000383549
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 66.6853256226s, input_fired_time: 1.1097311974, output_fired_time: 0.0000000000, propagate_forward_time: 63.3220863342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2535057068
   testing[          , genome  6286] predictions:    6491/  10000 (64.91%), best:    6491/10000 (64.91%), error:     10223.86621, best error:     10223.86621 on epoch:    25, epoch:   26/25, mu: 0.7701870799, learning_rate: 0.0000853055, weight_decay: 0.0000383549
backpropagation finished successfully!
19:36:08 (8012): called boinc_finish(0)

</stderr_txt>
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