Nameexact_genome_1542069603_166_5714_2
Workunit4084625
Created7 Dec 2018, 7:16:09 UTC
Sent7 Dec 2018, 7:16:16 UTC
Report deadline31 Dec 2018, 8:32:03 UTC
Received16 Dec 2018, 14:48:04 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time11 hours 57 min 9 sec
CPU time9 hours 58 min 49 sec
Validate stateValid
Credit6,013.16
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.00 MB
Peak swap size545.55 MB
Peak disk usage11.60 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542069603_166_5714.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542069603_166_5714_2_r1549536814_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542069603_166_5714.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: 5714
read normal distribution: '0 -1.56194257736206 1.34545862674713'
generator_str: '830708503'
read generator: 830708503
read generated_by_map:
1 split_node 1
reading 102 nodes.
reading 409 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: 926620774
post shuffle 1: 1962598708
epoch time: 1623.05505371094s, input_fired_time: 13.669472694397, output_fired_time: 10.705246925354, propagate_forward_time: 591.327453613281, propagate_backward_time: 991.321044921875, weight_update_time: 1.25689935684204, other_time: 16.0319213867188
epoch time: 124.393005371094s, input_fired_time: 1.76303458213806, output_fired_time: 0, propagate_forward_time: 119.76530456543, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.86466979980469
validation[          , genome  5714] predictions:    4600/  10000 (46.00%), best:    4600/10000 (46.00%), error:     19804.47266, best error:     19804.47266 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1398.5903320313s, input_fired_time: 11.4556703568, output_fired_time: 9.2769603729, propagate_forward_time: 516.5723266602, propagate_backward_time: 848.2147216797, weight_update_time: 0.8738994598, other_time: 13.0706176758
epoch time: 102.5620346069s, input_fired_time: 1.4153727293, output_fired_time: 0.0000000000, propagate_forward_time: 98.9700469971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1766128540
validation[          , genome  5714] predictions:    5091/  10000 (50.91%), best:    5091/10000 (50.91%), error:     16200.87305, best error:     16200.87305 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1333.0992431641s, input_fired_time: 10.8628253937, output_fired_time: 8.8217344284, propagate_forward_time: 496.2571105957, propagate_backward_time: 804.9473876953, weight_update_time: 0.8894456625, other_time: 12.2102050781
epoch time: 104.1880874634s, input_fired_time: 1.3961566687, output_fired_time: 0.0000000000, propagate_forward_time: 100.5775222778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2144088745
validation[          , genome  5714] predictions:    4811/  10000 (48.11%), best:    5091/10000 (50.91%), error:     16796.31250, best error:     16200.87305 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1386.8205566406s, input_fired_time: 11.1609954834, output_fired_time: 9.1103992462, propagate_forward_time: 514.3734130859, propagate_backward_time: 839.2561645508, weight_update_time: 0.9941300154, other_time: 12.9196166992
epoch time: 118.4333190918s, input_fired_time: 1.5137429237, output_fired_time: 0.0000000000, propagate_forward_time: 114.2967834473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6227951050
validation[          , genome  5714] predictions:    4969/  10000 (49.69%), best:    5091/10000 (50.91%), error:     16866.23828, best error:     16200.87305 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1546.2781982422s, input_fired_time: 12.7722911835, output_fired_time: 10.1458663940, propagate_forward_time: 567.7969970703, propagate_backward_time: 940.3029174805, weight_update_time: 1.2121081352, other_time: 15.2600708008
epoch time: 122.5785293579s, input_fired_time: 1.6780847311, output_fired_time: 0.0000000000, propagate_forward_time: 118.1162643433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7841796875
validation[          , genome  5714] predictions:    5079/  10000 (50.79%), best:    5091/10000 (50.91%), error:     16357.42773, best error:     16200.87305 on epoch:     1, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1636.0047607422s, input_fired_time: 13.8019142151, output_fired_time: 10.7132644653, propagate_forward_time: 595.9901123047, propagate_backward_time: 999.8455810547, weight_update_time: 1.3124279976, other_time: 15.6539306641
epoch time: 124.3258514404s, input_fired_time: 1.6468873024, output_fired_time: 0.0000000000, propagate_forward_time: 119.8623352051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8166275024
validation[          , genome  5714] predictions:    4893/  10000 (48.93%), best:    5091/10000 (50.91%), error:     17427.58594, best error:     16200.87305 on epoch:     1, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1401.3394775391s, input_fired_time: 11.4230518341, output_fired_time: 9.0532503128, propagate_forward_time: 516.2791137695, propagate_backward_time: 850.8923339844, weight_update_time: 1.2492014170, other_time: 13.6917114258
epoch time: 124.8371734619s, input_fired_time: 1.8822501898, output_fired_time: 0.0000000000, propagate_forward_time: 119.7088088989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2461166382
validation[          , genome  5714] predictions:    5255/  10000 (52.55%), best:    5255/10000 (52.55%), error:     14954.83105, best error:     14954.83105 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1495.4898681641s, input_fired_time: 12.0915880203, output_fired_time: 9.7644929886, propagate_forward_time: 547.3440551758, propagate_backward_time: 911.1762084961, weight_update_time: 1.5325090885, other_time: 15.1135253906
epoch time: 120.4612579346s, input_fired_time: 1.6525899172, output_fired_time: 0.0000000000, propagate_forward_time: 115.9986724854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8099975586
validation[          , genome  5714] predictions:    5325/  10000 (53.25%), best:    5255/10000 (52.55%), error:     15007.39844, best error:     14954.83105 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1531.1396484375s, input_fired_time: 12.3454065323, output_fired_time: 10.1838693619, propagate_forward_time: 558.7832641602, propagate_backward_time: 934.7030639648, weight_update_time: 1.7681076527, other_time: 15.1240234375
epoch time: 108.2720184326s, input_fired_time: 1.4270536900, output_fired_time: 0.0000000000, propagate_forward_time: 104.5252838135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3196792603
validation[          , genome  5714] predictions:    5155/  10000 (51.55%), best:    5155/10000 (51.55%), error:     14692.49707, best error:     14692.49707 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1525.0065917969s, input_fired_time: 12.2699766159, output_fired_time: 9.9390687943, propagate_forward_time: 556.6752319336, propagate_backward_time: 930.7542724609, weight_update_time: 2.2160284519, other_time: 15.3679809570
epoch time: 126.7500000000s, input_fired_time: 1.7473666668, output_fired_time: 0.0000000000, propagate_forward_time: 121.9316101074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0710220337
validation[          , genome  5714] predictions:    5339/  10000 (53.39%), best:    5155/10000 (51.55%), error:     14911.29883, best error:     14692.49707 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1470.0518798828s, input_fired_time: 11.8529691696, output_fired_time: 9.7092084885, propagate_forward_time: 538.2408447266, propagate_backward_time: 895.4337158203, weight_update_time: 2.3369753361, other_time: 14.8150634766
epoch time: 127.2088699341s, input_fired_time: 1.7662348747, output_fired_time: 0.0000000000, propagate_forward_time: 122.3730850220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0695495605
validation[          , genome  5714] predictions:    5290/  10000 (52.90%), best:    5155/10000 (51.55%), error:     15065.78613, best error:     14692.49707 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1648.0902099609s, input_fired_time: 13.5801124573, output_fired_time: 11.3110160828, propagate_forward_time: 594.5175170898, propagate_backward_time: 1010.8936157227, weight_update_time: 2.7747216225, other_time: 17.7880249023
epoch time: 114.2596282959s, input_fired_time: 1.4833887815, output_fired_time: 0.0000000000, propagate_forward_time: 110.1956329346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5806045532
validation[          , genome  5714] predictions:    5397/  10000 (53.97%), best:    5397/10000 (53.97%), error:     14676.41406, best error:     14676.41406 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1497.3585205078s, input_fired_time: 12.0221881866, output_fired_time: 9.9406061172, propagate_forward_time: 544.8782348633, propagate_backward_time: 914.1902465820, weight_update_time: 2.6428794861, other_time: 16.3272705078
epoch time: 127.7301330566s, input_fired_time: 1.9131554365, output_fired_time: 0.0000000000, propagate_forward_time: 122.7960815430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0208969116
validation[          , genome  5714] predictions:    5200/  10000 (52.00%), best:    5397/10000 (53.97%), error:     15627.69141, best error:     14676.41406 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1684.8245849609s, input_fired_time: 13.9199457169, output_fired_time: 11.4591827393, propagate_forward_time: 606.3524169922, propagate_backward_time: 1035.3924560547, weight_update_time: 3.0996997356, other_time: 17.7005615234
epoch time: 127.3776473999s, input_fired_time: 1.7769411802, output_fired_time: 0.0000000000, propagate_forward_time: 122.4975967407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1031112671
validation[          , genome  5714] predictions:    5332/  10000 (53.32%), best:    5332/10000 (53.32%), error:     14526.33008, best error:     14526.33008 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1499.7440185547s, input_fired_time: 12.4820165634, output_fired_time: 9.5904865265, propagate_forward_time: 544.8464965820, propagate_backward_time: 917.2437133789, weight_update_time: 2.6548771858, other_time: 15.5812988281
epoch time: 126.9473114014s, input_fired_time: 1.7453532219, output_fired_time: 0.0000000000, propagate_forward_time: 122.3124847412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8894729614
validation[          , genome  5714] predictions:    5229/  10000 (52.29%), best:    5332/10000 (53.32%), error:     15066.56055, best error:     14526.33008 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1560.2769775391s, input_fired_time: 12.9965915680, output_fired_time: 10.1614608765, propagate_forward_time: 563.9625244141, propagate_backward_time: 956.7203369141, weight_update_time: 2.8181250095, other_time: 16.4360351563
epoch time: 111.3746948242s, input_fired_time: 1.4025958776, output_fired_time: 0.0000000000, propagate_forward_time: 107.4550018311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5170974731
validation[          , genome  5714] predictions:    5486/  10000 (54.86%), best:    5486/10000 (54.86%), error:     13727.25977, best error:     13727.25977 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1385.2607421875s, input_fired_time: 11.2596054077, output_fired_time: 8.9406280518, propagate_forward_time: 504.0994262695, propagate_backward_time: 846.5590820313, weight_update_time: 2.3406407833, other_time: 14.4019165039
epoch time: 124.7381515503s, input_fired_time: 1.7078027725, output_fired_time: 0.0000000000, propagate_forward_time: 120.1330413818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8973083496
validation[          , genome  5714] predictions:    5230/  10000 (52.30%), best:    5486/10000 (54.86%), error:     15501.60254, best error:     13727.25977 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1525.0070800781s, input_fired_time: 12.2723855972, output_fired_time: 9.8604917526, propagate_forward_time: 551.9896240234, propagate_backward_time: 934.9930419922, weight_update_time: 2.5818998814, other_time: 15.8916015625
epoch time: 100.9453735352s, input_fired_time: 1.3331518173, output_fired_time: 0.0000000000, propagate_forward_time: 97.4190673828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1931533813
validation[          , genome  5714] predictions:    5211/  10000 (52.11%), best:    5486/10000 (54.86%), error:     15607.28809, best error:     13727.25977 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1560.6276855469s, input_fired_time: 12.4870023727, output_fired_time: 10.2257995605, propagate_forward_time: 561.3263549805, propagate_backward_time: 960.4885253906, weight_update_time: 2.7573554516, other_time: 16.0999145508
epoch time: 101.5935058594s, input_fired_time: 1.3388109207, output_fired_time: 0.0000000000, propagate_forward_time: 98.0303726196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2243194580
validation[          , genome  5714] predictions:    5389/  10000 (53.89%), best:    5486/10000 (54.86%), error:     13950.19141, best error:     13727.25977 on epoch:    15, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1534.6461181641s, input_fired_time: 12.1609153748, output_fired_time: 10.1285715103, propagate_forward_time: 551.8735351563, propagate_backward_time: 944.3768920898, weight_update_time: 2.5747730732, other_time: 16.1062622070
epoch time: 121.4616317749s, input_fired_time: 1.5156435966, output_fired_time: 0.0000000000, propagate_forward_time: 117.4041671753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5418243408
validation[          , genome  5714] predictions:    5325/  10000 (53.25%), best:    5486/10000 (54.86%), error:     14464.96191, best error:     13727.25977 on epoch:    15, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1402.7078857422s, input_fired_time: 11.4827823639, output_fired_time: 9.1219215393, propagate_forward_time: 509.0065917969, propagate_backward_time: 858.9414672852, weight_update_time: 2.4516222477, other_time: 14.1550903320
epoch time: 100.5708847046s, input_fired_time: 1.3704335690, output_fired_time: 0.0000000000, propagate_forward_time: 96.9448318481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2556228638
validation[          , genome  5714] predictions:    5498/  10000 (54.98%), best:    5486/10000 (54.86%), error:     14141.54395, best error:     13727.25977 on epoch:    15, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1550.3137207031s, input_fired_time: 12.7985105515, output_fired_time: 9.8471460342, propagate_forward_time: 555.4586791992, propagate_backward_time: 955.6898803711, weight_update_time: 2.7906727791, other_time: 16.5195312500
epoch time: 104.2377548218s, input_fired_time: 1.3495531082, output_fired_time: 0.0000000000, propagate_forward_time: 100.5509262085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3372726440
validation[          , genome  5714] predictions:    5393/  10000 (53.93%), best:    5486/10000 (54.86%), error:     14749.30176, best error:     13727.25977 on epoch:    15, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1502.3360595703s, input_fired_time: 12.5100526810, output_fired_time: 9.7848491669, propagate_forward_time: 538.9122314453, propagate_backward_time: 925.3865966797, weight_update_time: 2.6177954674, other_time: 15.7424316406
epoch time: 127.0688247681s, input_fired_time: 1.6998019218, output_fired_time: 0.0000000000, propagate_forward_time: 122.3826446533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9863815308
validation[          , genome  5714] predictions:    5531/  10000 (55.31%), best:    5486/10000 (54.86%), error:     13849.51563, best error:     13727.25977 on epoch:    15, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1417.2045898438s, input_fired_time: 11.5219888687, output_fired_time: 9.1572580338, propagate_forward_time: 512.8926391602, propagate_backward_time: 869.2299194336, weight_update_time: 2.4282021523, other_time: 14.4028320313
epoch time: 103.4395675659s, input_fired_time: 1.4224630594, output_fired_time: 0.0000000000, propagate_forward_time: 99.6870956421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3300094604
validation[          , genome  5714] predictions:    5527/  10000 (55.27%), best:    5486/10000 (54.86%), error:     13940.50977, best error:     13727.25977 on epoch:    15, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1581.1210937500s, input_fired_time: 13.0654010773, output_fired_time: 10.2400064468, propagate_forward_time: 565.3043212891, propagate_backward_time: 975.8530273438, weight_update_time: 2.8590557575, other_time: 16.6583251953
epoch time: 127.5672531128s, input_fired_time: 1.7577394247, output_fired_time: 0.0000000000, propagate_forward_time: 122.7683944702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0411224365
validation[          , genome  5714] predictions:    5579/  10000 (55.79%), best:    5486/10000 (54.86%), error:     14072.70605, best error:     13727.25977 on epoch:    15, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1590.4405517578s, input_fired_time: 13.1581468582, output_fired_time: 10.3153200150, propagate_forward_time: 566.7612915039, propagate_backward_time: 983.4902954102, weight_update_time: 2.7975642681, other_time: 16.7154541016
epoch time: 103.6851501465s, input_fired_time: 1.3659046888, output_fired_time: 0.0000000000, propagate_forward_time: 100.0566711426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2625732422
validation[          , genome  5714] predictions:    5386/  10000 (53.86%), best:    5486/10000 (54.86%), error:     14490.19043, best error:     13727.25977 on epoch:    15, 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: 521.4118041992s, input_fired_time: 6.9001688957, output_fired_time: 0.0000000000, propagate_forward_time: 503.0009765625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5106811523
best training[          , genome  5714] predictions:   30547/  50000 (61.09%), best:    5486/10000 (54.86%), error:     57477.04297, best error:     13727.25977 on epoch:    15, 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: 122.7524871826s, input_fired_time: 1.7078963518, output_fired_time: 0.0000000000, propagate_forward_time: 118.3121795654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7324142456
   testing[          , genome  5714] predictions:    5486/  10000 (54.86%), best:    5486/10000 (54.86%), error:     13727.25977, best error:     13727.25977 on epoch:    15, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
07:47:44 (5508): called boinc_finish(0)

</stderr_txt>
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