Nameexact_genome_1542727803_167_6410_0
Workunit4101319
Created20 Nov 2018, 20:15:00 UTC
Sent20 Nov 2018, 20:15:03 UTC
Report deadline16 Dec 2018, 16:35:28 UTC
Received21 Nov 2018, 6:16:47 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60660
Run time8 hours 12 min 18 sec
CPU time7 hours 55 min 15 sec
Validate stateValid
Credit6,461.88
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size518.92 MB
Peak swap size538.69 MB
Peak disk usage11.04 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_1542727803_167_6410.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410_0_r413261086_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410.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: 6410
read normal distribution: '1 0.0527320429682732 1.44012010097504'
generator_str: '524361621'
read generator: 524361621
read generated_by_map:
1 crossover 1
reading 79 nodes.
reading 372 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: 1820360506
post shuffle 1: 1085600309
epoch time: 1016.97729492188s, input_fired_time: 6.72729396820068, output_fired_time: 5.12595081329346, propagate_forward_time: 371.900604248047, propagate_backward_time: 623.290161132813, weight_update_time: 1.11328327655792, other_time: 9.9332275390625
epoch time: 76.8115463256836s, input_fired_time: 0.73413074016571, output_fired_time: 0, propagate_forward_time: 74.3941192626953, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.68329620361328
validation[          , genome  6410] predictions:    4886/  10000 (48.86%), best:    4886/10000 (48.86%), error:     17836.46094, best error:     17836.46094 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1015.3169555664s, input_fired_time: 6.6648139954, output_fired_time: 5.1146478653, propagate_forward_time: 370.8992614746, propagate_backward_time: 622.8753051758, weight_update_time: 1.1003218889, other_time: 9.7630004883
epoch time: 77.0079803467s, input_fired_time: 0.7438872457, output_fired_time: 0.0000000000, propagate_forward_time: 74.5766754150, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6874160767
validation[          , genome  6410] predictions:    4632/  10000 (46.32%), best:    4886/10000 (48.86%), error:     20605.35742, best error:     17836.46094 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1017.8890991211s, input_fired_time: 6.6925330162, output_fired_time: 5.1045174599, propagate_forward_time: 372.0475769043, propagate_backward_time: 624.1677246094, weight_update_time: 1.1053403616, other_time: 9.8768310547
epoch time: 76.9233932495s, input_fired_time: 0.7347583175, output_fired_time: 0.0000000000, propagate_forward_time: 74.4924163818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6962203979
validation[          , genome  6410] predictions:    5028/  10000 (50.28%), best:    5028/10000 (50.28%), error:     16197.92578, best error:     16197.92578 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1014.9512939453s, input_fired_time: 6.6662659645, output_fired_time: 5.1060338020, propagate_forward_time: 371.1655578613, propagate_backward_time: 622.1459350586, weight_update_time: 1.1071438789, other_time: 9.8674926758
epoch time: 76.3508834839s, input_fired_time: 0.7362486720, output_fired_time: 0.0000000000, propagate_forward_time: 73.9311294556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6835021973
validation[          , genome  6410] predictions:    5214/  10000 (52.14%), best:    5214/10000 (52.14%), error:     15540.18848, best error:     15540.18848 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1016.5415649414s, input_fired_time: 6.6999578476, output_fired_time: 5.1088299751, propagate_forward_time: 371.3311157227, propagate_backward_time: 623.4849853516, weight_update_time: 1.1052958965, other_time: 9.9166870117
epoch time: 76.7185974121s, input_fired_time: 0.7457314730, output_fired_time: 0.0000000000, propagate_forward_time: 74.1948013306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7780609131
validation[          , genome  6410] predictions:    5351/  10000 (53.51%), best:    5351/10000 (53.51%), error:     14475.20703, best error:     14475.20703 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1015.4768676758s, input_fired_time: 6.6843686104, output_fired_time: 5.1227669716, propagate_forward_time: 371.4792175293, propagate_backward_time: 622.3927612305, weight_update_time: 1.1238018274, other_time: 9.7977905273
epoch time: 301.4958496094s, input_fired_time: 0.7385854721, output_fired_time: 0.0000000000, propagate_forward_time: 299.0274963379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7297668457
validation[          , genome  6410] predictions:    5185/  10000 (51.85%), best:    5351/10000 (53.51%), error:     15262.23926, best error:     14475.20703 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1014.8608398438s, input_fired_time: 6.6927351952, output_fired_time: 5.0945982933, propagate_forward_time: 371.2260437012, propagate_backward_time: 621.9317016602, weight_update_time: 1.1198819876, other_time: 9.9157104492
epoch time: 77.0153732300s, input_fired_time: 0.7153485417, output_fired_time: 0.0000000000, propagate_forward_time: 74.5937576294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7062683105
validation[          , genome  6410] predictions:    4730/  10000 (47.30%), best:    5351/10000 (53.51%), error:     16707.16406, best error:     14475.20703 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1191.7779541016s, input_fired_time: 6.6909384727, output_fired_time: 5.1841092110, propagate_forward_time: 547.5120239258, propagate_backward_time: 622.3487548828, weight_update_time: 1.1037046909, other_time: 10.0421752930
epoch time: 76.5916900635s, input_fired_time: 0.7152171731, output_fired_time: 0.0000000000, propagate_forward_time: 74.1501159668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7263565063
validation[          , genome  6410] predictions:    4964/  10000 (49.64%), best:    5351/10000 (53.51%), error:     15645.09473, best error:     14475.20703 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1015.1082763672s, input_fired_time: 6.6456146240, output_fired_time: 5.1012458801, propagate_forward_time: 371.3265686035, propagate_backward_time: 622.1520996094, weight_update_time: 1.1003807783, other_time: 9.8826904297
epoch time: 76.4702301025s, input_fired_time: 0.7498202324, output_fired_time: 0.0000000000, propagate_forward_time: 74.0183868408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7020263672
validation[          , genome  6410] predictions:    4979/  10000 (49.79%), best:    5351/10000 (53.51%), error:     16005.06641, best error:     14475.20703 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1021.6204223633s, input_fired_time: 6.7846884727, output_fired_time: 5.1461753845, propagate_forward_time: 373.5618896484, propagate_backward_time: 626.2927246094, weight_update_time: 1.1046904325, other_time: 9.8349609375
epoch time: 76.8534469604s, input_fired_time: 0.7603340149, output_fired_time: 0.0000000000, propagate_forward_time: 74.3096771240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7834320068
validation[          , genome  6410] predictions:    5331/  10000 (53.31%), best:    5351/10000 (53.51%), error:     14616.69141, best error:     14475.20703 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1016.3831176758s, input_fired_time: 6.8253278732, output_fired_time: 5.1179676056, propagate_forward_time: 371.4286499023, propagate_backward_time: 622.9997558594, weight_update_time: 1.1086714268, other_time: 10.0114135742
epoch time: 76.8740768433s, input_fired_time: 0.7290422916, output_fired_time: 0.0000000000, propagate_forward_time: 74.4633636475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6816711426
validation[          , genome  6410] predictions:    5236/  10000 (52.36%), best:    5351/10000 (53.51%), error:     14525.92285, best error:     14475.20703 on epoch:     4, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1674.1365966797s, input_fired_time: 6.6899099350, output_fired_time: 5.0973730087, propagate_forward_time: 371.3497314453, propagate_backward_time: 1281.0417480469, weight_update_time: 1.1075221300, other_time: 9.9577636719
epoch time: 77.6172485352s, input_fired_time: 0.7727466822, output_fired_time: 0.0000000000, propagate_forward_time: 75.0722579956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7722473145
validation[          , genome  6410] predictions:    5340/  10000 (53.40%), best:    5340/10000 (53.40%), error:     14194.87793, best error:     14194.87793 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1015.4236450195s, input_fired_time: 6.6870479584, output_fired_time: 5.1459016800, propagate_forward_time: 371.0238037109, propagate_backward_time: 622.6017456055, weight_update_time: 1.1226119995, other_time: 9.9651489258
epoch time: 76.4788665771s, input_fired_time: 0.7427942157, output_fired_time: 0.0000000000, propagate_forward_time: 74.0483474731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6877212524
validation[          , genome  6410] predictions:    5322/  10000 (53.22%), best:    5340/10000 (53.40%), error:     14237.10645, best error:     14194.87793 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1016.5244140625s, input_fired_time: 6.7513890266, output_fired_time: 5.1139254570, propagate_forward_time: 371.5162963867, propagate_backward_time: 623.2861938477, weight_update_time: 1.1058137417, other_time: 9.8565673828
epoch time: 77.2209167480s, input_fired_time: 0.7621904016, output_fired_time: 0.0000000000, propagate_forward_time: 74.6611938477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7975311279
validation[          , genome  6410] predictions:    5655/  10000 (56.55%), best:    5655/10000 (56.55%), error:     13298.93848, best error:     13298.93848 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1016.4583740234s, input_fired_time: 6.7465481758, output_fired_time: 5.0837101936, propagate_forward_time: 371.6813049316, propagate_backward_time: 623.1277465820, weight_update_time: 1.0975804329, other_time: 9.8190307617
epoch time: 76.5534744263s, input_fired_time: 0.7471878529, output_fired_time: 0.0000000000, propagate_forward_time: 74.1140670776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6922225952
validation[          , genome  6410] predictions:    5446/  10000 (54.46%), best:    5655/10000 (56.55%), error:     14176.76758, best error:     13298.93848 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1832.9624023438s, input_fired_time: 6.7156200409, output_fired_time: 5.1050672531, propagate_forward_time: 370.9666748047, propagate_backward_time: 1440.3916015625, weight_update_time: 1.1011201143, other_time: 9.7834472656
epoch time: 237.5482330322s, input_fired_time: 0.7860370874, output_fired_time: 0.0000000000, propagate_forward_time: 235.0111999512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7509918213
validation[          , genome  6410] predictions:    5480/  10000 (54.80%), best:    5655/10000 (56.55%), error:     13820.62305, best error:     13298.93848 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1013.3732910156s, input_fired_time: 6.7274909019, output_fired_time: 5.1021180153, propagate_forward_time: 370.5454101563, propagate_backward_time: 621.2466430664, weight_update_time: 1.0945305824, other_time: 9.7516479492
epoch time: 76.1291503906s, input_fired_time: 0.7403141856, output_fired_time: 0.0000000000, propagate_forward_time: 73.7398071289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6490325928
validation[          , genome  6410] predictions:    5385/  10000 (53.85%), best:    5655/10000 (56.55%), error:     14148.51660, best error:     13298.93848 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1013.7755737305s, input_fired_time: 6.7283883095, output_fired_time: 5.1110973358, propagate_forward_time: 370.7819519043, propagate_backward_time: 621.2544555664, weight_update_time: 1.1043292284, other_time: 9.8997192383
epoch time: 76.0171661377s, input_fired_time: 0.7575182319, output_fired_time: 0.0000000000, propagate_forward_time: 73.5985412598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6611099243
validation[          , genome  6410] predictions:    5391/  10000 (53.91%), best:    5655/10000 (56.55%), error:     14377.93066, best error:     13298.93848 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1012.7119140625s, input_fired_time: 6.7371621132, output_fired_time: 5.0840654373, propagate_forward_time: 370.6224975586, propagate_backward_time: 620.4304199219, weight_update_time: 1.0965454578, other_time: 9.8377685547
epoch time: 76.2884140015s, input_fired_time: 0.7505491972, output_fired_time: 0.0000000000, propagate_forward_time: 73.8648910522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6729736328
validation[          , genome  6410] predictions:    5359/  10000 (53.59%), best:    5655/10000 (56.55%), error:     14430.29102, best error:     13298.93848 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1010.0501708984s, input_fired_time: 6.6890754700, output_fired_time: 5.0632767677, propagate_forward_time: 369.2285461426, propagate_backward_time: 619.3043212891, weight_update_time: 1.0959666967, other_time: 9.7648925781
epoch time: 74.5106887817s, input_fired_time: 0.7366407514, output_fired_time: 0.0000000000, propagate_forward_time: 72.0954208374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6786270142
validation[          , genome  6410] predictions:    5528/  10000 (55.28%), best:    5655/10000 (56.55%), error:     13890.21582, best error:     13298.93848 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1938.6971435547s, input_fired_time: 6.8408946991, output_fired_time: 5.1193680763, propagate_forward_time: 1112.6346435547, propagate_backward_time: 804.2333984375, weight_update_time: 1.0955280066, other_time: 9.8687744141
epoch time: 76.8577499390s, input_fired_time: 0.8023919463, output_fired_time: 0.0000000000, propagate_forward_time: 74.3464355469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7089233398
validation[          , genome  6410] predictions:    5495/  10000 (54.95%), best:    5655/10000 (56.55%), error:     13692.92285, best error:     13298.93848 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1011.6935424805s, input_fired_time: 6.7808685303, output_fired_time: 5.0784287453, propagate_forward_time: 369.7664489746, propagate_backward_time: 620.2028808594, weight_update_time: 1.0996116400, other_time: 9.8648681641
epoch time: 76.3313674927s, input_fired_time: 0.7540465593, output_fired_time: 0.0000000000, propagate_forward_time: 73.8653564453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7119674683
validation[          , genome  6410] predictions:    5533/  10000 (55.33%), best:    5655/10000 (56.55%), error:     13550.73828, best error:     13298.93848 on epoch:    13, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1012.4552612305s, input_fired_time: 6.7540221214, output_fired_time: 5.0724573135, propagate_forward_time: 369.7559509277, propagate_backward_time: 621.0971069336, weight_update_time: 1.1043114662, other_time: 9.7756958008
epoch time: 76.7493743896s, input_fired_time: 0.7573024035, output_fired_time: 0.0000000000, propagate_forward_time: 74.2712020874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7208709717
validation[          , genome  6410] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13027.18164, best error:     13027.18164 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1122.7436523438s, input_fired_time: 7.7210288048, output_fired_time: 5.7060794830, propagate_forward_time: 412.9408569336, propagate_backward_time: 684.8718872070, weight_update_time: 1.1997457743, other_time: 11.5037841797
epoch time: 100.9291534424s, input_fired_time: 0.9690884352, output_fired_time: 0.0000000000, propagate_forward_time: 97.6566238403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3034439087
validation[          , genome  6410] predictions:    5474/  10000 (54.74%), best:    5690/10000 (56.90%), error:     14058.69336, best error:     13027.18164 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1317.7811279297s, input_fired_time: 9.3316125870, output_fired_time: 6.5794320107, propagate_forward_time: 482.9586181641, propagate_backward_time: 805.5933227539, weight_update_time: 1.4747500420, other_time: 13.3180541992
epoch time: 103.0498733521s, input_fired_time: 1.0610224009, output_fired_time: 0.0000000000, propagate_forward_time: 99.5960845947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3927688599
validation[          , genome  6410] predictions:    5716/  10000 (57.16%), best:    5690/10000 (56.90%), error:     13086.67090, best error:     13027.18164 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1224.8021240234s, input_fired_time: 8.4533948898, output_fired_time: 6.1845784187, propagate_forward_time: 447.8955078125, propagate_backward_time: 749.9182739258, weight_update_time: 1.3774653673, other_time: 12.3504028320
epoch time: 76.3060913086s, input_fired_time: 0.7830991745, output_fired_time: 0.0000000000, propagate_forward_time: 73.7468872070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7761077881
validation[          , genome  6410] predictions:    5593/  10000 (55.93%), best:    5690/10000 (56.90%), error:     13582.85547, best error:     13027.18164 on epoch:    22, 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: 384.9411926270s, input_fired_time: 3.8671333790, output_fired_time: 0.0000000000, propagate_forward_time: 372.2304382324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.8436279297
best training[          , genome  6410] predictions:   32438/  50000 (64.88%), best:    5690/10000 (56.90%), error:     51678.10547, best error:     13027.18164 on epoch:    22, 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: 75.9605636597s, input_fired_time: 0.7613360882, output_fired_time: 0.0000000000, propagate_forward_time: 73.4555587769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7436676025
   testing[          , genome  6410] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13027.18164, best error:     13027.18164 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
00:18:09 (5984): called boinc_finish(0)

</stderr_txt>
]]>