Nameexact_genome_1542649503_168_6357_1
Workunit4099983
Created20 Nov 2018, 4:59:10 UTC
Sent20 Nov 2018, 5:07:52 UTC
Report deadline12 Dec 2018, 19:55:32 UTC
Received23 Nov 2018, 12:44:06 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time8 hours 31 min 6 sec
CPU time8 hours 27 min 9 sec
Validate stateValid
Credit5,654.11
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size521.54 MB
Peak swap size519.29 MB
Peak disk usage10.66 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_1542649503_168_6357.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_168_6357_1_r740373529_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_168_6357.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: 6357
read normal distribution: '1 1.42691791057587 -1.63905429840088'
generator_str: '1855437624'
read generator: 1855437624
read generated_by_map:
1 add_node 1
reading 86 nodes.
reading 358 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: 730108481
post shuffle 1: 550878662
epoch time: 1073.59729003906s, input_fired_time: 9.17831325531006, output_fired_time: 8.5214319229126, propagate_forward_time: 403.227844238281, propagate_backward_time: 641.328247070313, weight_update_time: 1.07439398765564, other_time: 11.3413696289063
epoch time: 83.687370300293s, input_fired_time: 1.13933598995209, output_fired_time: 0, propagate_forward_time: 80.5418472290039, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.00618743896484
validation[          , genome  6357] predictions:    5225/  10000 (52.25%), best:    5225/10000 (52.25%), error:     15962.65723, best error:     15962.65723 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1074.9705810547s, input_fired_time: 9.1564321518, output_fired_time: 8.5514287949, propagate_forward_time: 402.8980407715, propagate_backward_time: 643.0072021484, weight_update_time: 1.0650364161, other_time: 11.3575439453
epoch time: 83.3747634888s, input_fired_time: 1.1347390413, output_fired_time: 0.0000000000, propagate_forward_time: 80.2474288940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9925918579
validation[          , genome  6357] predictions:    5094/  10000 (50.94%), best:    5225/10000 (52.25%), error:     16833.66797, best error:     15962.65723 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1073.2423095703s, input_fired_time: 9.0611133575, output_fired_time: 8.5311450958, propagate_forward_time: 402.3638305664, propagate_backward_time: 641.9938964844, weight_update_time: 1.0747562647, other_time: 11.2922973633
epoch time: 83.9847106934s, input_fired_time: 1.1109539270, output_fired_time: 0.0000000000, propagate_forward_time: 80.8917617798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9819946289
validation[          , genome  6357] predictions:    4321/  10000 (43.21%), best:    5225/10000 (52.25%), error:     38648.50391, best error:     15962.65723 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1072.4890136719s, input_fired_time: 9.0167570114, output_fired_time: 8.5226573944, propagate_forward_time: 402.1446533203, propagate_backward_time: 641.4885864258, weight_update_time: 1.0674914122, other_time: 11.3163452148
epoch time: 83.7385253906s, input_fired_time: 1.1230206490, output_fired_time: 0.0000000000, propagate_forward_time: 80.6376495361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9778518677
validation[          , genome  6357] predictions:    5244/  10000 (52.44%), best:    5244/10000 (52.44%), error:     14948.69922, best error:     14948.69922 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1074.2312011719s, input_fired_time: 9.0377235413, output_fired_time: 8.5306901932, propagate_forward_time: 402.6811523438, propagate_backward_time: 642.6638183594, weight_update_time: 1.0686759949, other_time: 11.3178710938
epoch time: 83.5117874146s, input_fired_time: 1.1132196188, output_fired_time: 0.0000000000, propagate_forward_time: 80.3949661255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0036010742
validation[          , genome  6357] predictions:    5172/  10000 (51.72%), best:    5244/10000 (52.44%), error:     15899.48926, best error:     14948.69922 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1073.4822998047s, input_fired_time: 9.0204582214, output_fired_time: 8.5297298431, propagate_forward_time: 402.8497924805, propagate_backward_time: 641.7528686523, weight_update_time: 1.0673652887, other_time: 11.3293457031
epoch time: 83.3747100830s, input_fired_time: 1.1226911545, output_fired_time: 0.0000000000, propagate_forward_time: 80.2577819824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9942398071
validation[          , genome  6357] predictions:    5101/  10000 (51.01%), best:    5244/10000 (52.44%), error:     16254.24902, best error:     14948.69922 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1073.9614257813s, input_fired_time: 9.0105352402, output_fired_time: 8.5460367203, propagate_forward_time: 402.9239807129, propagate_backward_time: 642.1515502930, weight_update_time: 1.0763446093, other_time: 11.3294067383
epoch time: 83.4782028198s, input_fired_time: 1.1087238789, output_fired_time: 0.0000000000, propagate_forward_time: 80.3746261597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9948501587
validation[          , genome  6357] predictions:    5025/  10000 (50.25%), best:    5244/10000 (52.44%), error:     16055.44336, best error:     14948.69922 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1090.9226074219s, input_fired_time: 9.1283483505, output_fired_time: 9.0220365524, propagate_forward_time: 409.2472229004, propagate_backward_time: 652.0108642578, weight_update_time: 1.1035062075, other_time: 11.5141601563
epoch time: 83.4698638916s, input_fired_time: 1.1162996292, output_fired_time: 0.0000000000, propagate_forward_time: 80.3739929199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9795684814
validation[          , genome  6357] predictions:    5561/  10000 (55.61%), best:    5561/10000 (55.61%), error:     13887.98340, best error:     13887.98340 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1084.0438232422s, input_fired_time: 9.0381774902, output_fired_time: 8.6248130798, propagate_forward_time: 406.2927856445, propagate_backward_time: 648.6423950195, weight_update_time: 1.0721461773, other_time: 11.4456787109
epoch time: 83.6632919312s, input_fired_time: 1.0987578630, output_fired_time: 0.0000000000, propagate_forward_time: 80.5792694092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9852676392
validation[          , genome  6357] predictions:    5256/  10000 (52.56%), best:    5561/10000 (55.61%), error:     14890.32129, best error:     13887.98340 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1075.0617675781s, input_fired_time: 9.0401573181, output_fired_time: 8.5247659683, propagate_forward_time: 403.2554931641, propagate_backward_time: 642.8862915039, weight_update_time: 1.0750204325, other_time: 11.3550415039
epoch time: 83.5705261230s, input_fired_time: 1.0789990425, output_fired_time: 0.0000000000, propagate_forward_time: 80.4886703491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0028533936
validation[          , genome  6357] predictions:    5249/  10000 (52.49%), best:    5561/10000 (55.61%), error:     14780.87891, best error:     13887.98340 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1075.2015380859s, input_fired_time: 9.0557861328, output_fired_time: 8.5318260193, propagate_forward_time: 403.6400451660, propagate_backward_time: 642.6343383789, weight_update_time: 1.0760947466, other_time: 11.3395385742
epoch time: 84.1572875977s, input_fired_time: 1.1580355167, output_fired_time: 0.0000000000, propagate_forward_time: 80.9959335327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0033187866
validation[          , genome  6357] predictions:    5656/  10000 (56.56%), best:    5656/10000 (56.56%), error:     13305.69922, best error:     13305.69922 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1074.4832763672s, input_fired_time: 8.9931077957, output_fired_time: 8.5184202194, propagate_forward_time: 403.0981445313, propagate_backward_time: 642.5797729492, weight_update_time: 1.0658516884, other_time: 11.2937622070
epoch time: 83.7249908447s, input_fired_time: 1.1152753830, output_fired_time: 0.0000000000, propagate_forward_time: 80.6042022705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0055160522
validation[          , genome  6357] predictions:    5196/  10000 (51.96%), best:    5656/10000 (56.56%), error:     15056.88086, best error:     13305.69922 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1075.1912841797s, input_fired_time: 9.0005826950, output_fired_time: 8.5279531479, propagate_forward_time: 403.5187072754, propagate_backward_time: 642.8001708984, weight_update_time: 1.0712893009, other_time: 11.3438720703
epoch time: 83.4094696045s, input_fired_time: 1.0964328051, output_fired_time: 0.0000000000, propagate_forward_time: 80.3211593628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9918746948
validation[          , genome  6357] predictions:    5212/  10000 (52.12%), best:    5656/10000 (56.56%), error:     15359.09277, best error:     13305.69922 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1075.4550781250s, input_fired_time: 9.0220527649, output_fired_time: 8.5572309494, propagate_forward_time: 403.3648986816, propagate_backward_time: 643.1353759766, weight_update_time: 1.0982048512, other_time: 11.3754882813
epoch time: 83.8131790161s, input_fired_time: 1.0923124552, output_fired_time: 0.0000000000, propagate_forward_time: 80.7158737183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0049896240
validation[          , genome  6357] predictions:    5414/  10000 (54.14%), best:    5656/10000 (56.56%), error:     13776.10547, best error:     13305.69922 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1074.1190185547s, input_fired_time: 9.0251541138, output_fired_time: 8.5593175888, propagate_forward_time: 402.9538574219, propagate_backward_time: 642.2484741211, weight_update_time: 1.0678106546, other_time: 11.3322143555
epoch time: 83.6695175171s, input_fired_time: 1.0864261389, output_fired_time: 0.0000000000, propagate_forward_time: 80.6035995483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9794921875
validation[          , genome  6357] predictions:    5198/  10000 (51.98%), best:    5656/10000 (56.56%), error:     15277.69434, best error:     13305.69922 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1073.7412109375s, input_fired_time: 9.0502443314, output_fired_time: 8.5017528534, propagate_forward_time: 402.8059387207, propagate_backward_time: 642.0348510742, weight_update_time: 1.0797581673, other_time: 11.3484497070
epoch time: 83.7174224854s, input_fired_time: 1.1270190477, output_fired_time: 0.0000000000, propagate_forward_time: 80.6049423218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9854583740
validation[          , genome  6357] predictions:    5489/  10000 (54.89%), best:    5656/10000 (56.56%), error:     13861.96582, best error:     13305.69922 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1074.6472167969s, input_fired_time: 9.0392541885, output_fired_time: 8.5030021667, propagate_forward_time: 403.0549011230, propagate_backward_time: 642.7190551758, weight_update_time: 1.0700421333, other_time: 11.3308715820
epoch time: 83.6247329712s, input_fired_time: 1.1290314198, output_fired_time: 0.0000000000, propagate_forward_time: 80.5087814331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9869232178
validation[          , genome  6357] predictions:    5486/  10000 (54.86%), best:    5656/10000 (56.56%), error:     14246.16406, best error:     13305.69922 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1080.5218505859s, input_fired_time: 9.1891088486, output_fired_time: 8.6329536438, propagate_forward_time: 405.8190917969, propagate_backward_time: 645.5052490234, weight_update_time: 1.0847793818, other_time: 11.3754882813
epoch time: 83.6691284180s, input_fired_time: 1.1418215036, output_fired_time: 0.0000000000, propagate_forward_time: 80.5264434814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0008621216
validation[          , genome  6357] predictions:    5306/  10000 (53.06%), best:    5656/10000 (56.56%), error:     14847.96680, best error:     13305.69922 on epoch:    10, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1073.6510009766s, input_fired_time: 9.0365648270, output_fired_time: 8.5078897476, propagate_forward_time: 402.6955566406, propagate_backward_time: 642.0454101563, weight_update_time: 1.0723369122, other_time: 11.3654785156
epoch time: 83.8112564087s, input_fired_time: 1.1040403843, output_fired_time: 0.0000000000, propagate_forward_time: 80.7200698853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9871444702
validation[          , genome  6357] predictions:    5171/  10000 (51.71%), best:    5656/10000 (56.56%), error:     15396.47168, best error:     13305.69922 on epoch:    10, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1075.4523925781s, input_fired_time: 9.0298948288, output_fired_time: 8.5537977219, propagate_forward_time: 403.6019897461, propagate_backward_time: 642.9085083008, weight_update_time: 1.0697401762, other_time: 11.3581542969
epoch time: 84.0376281738s, input_fired_time: 1.1346679926, output_fired_time: 0.0000000000, propagate_forward_time: 80.9109802246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9919815063
validation[          , genome  6357] predictions:    5498/  10000 (54.98%), best:    5656/10000 (56.56%), error:     13969.81934, best error:     13305.69922 on epoch:    10, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1074.2141113281s, input_fired_time: 9.1177616119, output_fired_time: 8.4876213074, propagate_forward_time: 403.0387268066, propagate_backward_time: 642.2056884766, weight_update_time: 1.0691975355, other_time: 11.3642578125
epoch time: 83.4829711914s, input_fired_time: 1.1465013027, output_fired_time: 0.0000000000, propagate_forward_time: 80.3665466309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9699249268
validation[          , genome  6357] predictions:    5766/  10000 (57.66%), best:    5766/10000 (57.66%), error:     12674.60547, best error:     12674.60547 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1075.8081054688s, input_fired_time: 9.0877618790, output_fired_time: 8.5474033356, propagate_forward_time: 403.3646850586, propagate_backward_time: 643.4445190430, weight_update_time: 1.0706573725, other_time: 11.3637695313
epoch time: 83.6114425659s, input_fired_time: 1.1241210699, output_fired_time: 0.0000000000, propagate_forward_time: 80.4994277954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9878921509
validation[          , genome  6357] predictions:    5718/  10000 (57.18%), best:    5766/10000 (57.66%), error:     13182.33008, best error:     12674.60547 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1075.1169433594s, input_fired_time: 9.1037969589, output_fired_time: 8.5475082397, propagate_forward_time: 403.5252075195, propagate_backward_time: 642.5811767578, weight_update_time: 1.0712517500, other_time: 11.3593139648
epoch time: 83.5455017090s, input_fired_time: 1.1088016033, output_fired_time: 0.0000000000, propagate_forward_time: 80.4631271362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9735717773
validation[          , genome  6357] predictions:    5472/  10000 (54.72%), best:    5766/10000 (57.66%), error:     13879.81348, best error:     12674.60547 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1074.9561767578s, input_fired_time: 9.0791187286, output_fired_time: 8.5170717239, propagate_forward_time: 403.3627319336, propagate_backward_time: 642.6496582031, weight_update_time: 1.0719716549, other_time: 11.3475952148
epoch time: 83.6978759766s, input_fired_time: 1.1326589584, output_fired_time: 0.0000000000, propagate_forward_time: 80.5821838379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9830322266
validation[          , genome  6357] predictions:    5513/  10000 (55.13%), best:    5766/10000 (57.66%), error:     13651.99805, best error:     12674.60547 on epoch:    20, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1074.7441406250s, input_fired_time: 9.1535396576, output_fired_time: 8.5264062881, propagate_forward_time: 403.4081420898, propagate_backward_time: 642.3061523438, weight_update_time: 1.0706601143, other_time: 11.3499145508
epoch time: 83.6164932251s, input_fired_time: 1.1519126892, output_fired_time: 0.0000000000, propagate_forward_time: 80.4743728638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9902114868
validation[          , genome  6357] predictions:    5631/  10000 (56.31%), best:    5766/10000 (57.66%), error:     13465.95605, best error:     12674.60547 on epoch:    20, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1073.9421386719s, input_fired_time: 9.1463632584, output_fired_time: 8.5050106049, propagate_forward_time: 402.6452331543, propagate_backward_time: 642.3187255859, weight_update_time: 1.0689078569, other_time: 11.3267822266
epoch time: 84.5283813477s, input_fired_time: 1.1036338806, output_fired_time: 0.0000000000, propagate_forward_time: 81.4380645752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9866790771
validation[          , genome  6357] predictions:    5344/  10000 (53.44%), best:    5766/10000 (57.66%), error:     14422.93945, best error:     12674.60547 on epoch:    20, 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: 418.9866333008s, input_fired_time: 5.7568516731, output_fired_time: 0.0000000000, propagate_forward_time: 403.2162475586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.0135192871
best training[          , genome  6357] predictions:   32261/  50000 (64.52%), best:    5766/10000 (57.66%), error:     51774.99219, best error:     12674.60547 on epoch:    20, 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: 83.6577453613s, input_fired_time: 1.1535305977, output_fired_time: 0.0000000000, propagate_forward_time: 80.5182800293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9859313965
   testing[          , genome  6357] predictions:    5766/  10000 (57.66%), best:    5766/10000 (57.66%), error:     12674.60547, best error:     12674.60547 on epoch:    20, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
21:43:15 (12228): called boinc_finish(0)

</stderr_txt>
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