Nameexact_genome_1542649503_175_6344_0
Workunit4099578
Created20 Nov 2018, 2:55:33 UTC
Sent20 Nov 2018, 3:01:13 UTC
Report deadline4 Jan 2019, 10:07:10 UTC
Received20 Nov 2018, 21:01:06 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID84860
Run time17 hours 38 min 5 sec
CPU time17 hours 27 min 6 sec
Validate stateValid
Credit11,323.95
Device peak FLOPS4.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size515.84 MB
Peak swap size518.58 MB
Peak disk usage4.99 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_175_6344.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6344_0_r1490539852_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6344.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: 50
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: 6344
read normal distribution: '1 0 0'
generator_str: '1057131439'
read generator: 1057131439
read generated_by_map:
1 enable_edge 1
reading 82 nodes.
reading 296 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: 0.0684280395507812
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: 1075883642
post shuffle 1: 1868362440
epoch time: 1164.14660644531s, input_fired_time: 9.49509525299072, output_fired_time: 7.05241584777832, propagate_forward_time: 430.852294921875, propagate_backward_time: 705.462341308594, weight_update_time: 0.660107493400574, other_time: 11.2844848632812
epoch time: 87.053955078125s, input_fired_time: 1.00365459918976, output_fired_time: 0, propagate_forward_time: 84.1444854736328, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.90581512451172
validation[          , genome  6344] predictions:    5325/  10000 (53.25%), best:    5325/10000 (53.25%), error:     15411.41113, best error:     15411.41113 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1131.5357666016s, input_fired_time: 9.4740123749, output_fired_time: 6.9544758797, propagate_forward_time: 415.7117309570, propagate_backward_time: 688.6900634766, weight_update_time: 0.6464517713, other_time: 10.7055053711
epoch time: 90.3248519897s, input_fired_time: 1.0404312611, output_fired_time: 0.0000000000, propagate_forward_time: 87.2424621582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0419616699
validation[          , genome  6344] predictions:    5155/  10000 (51.55%), best:    5325/10000 (53.25%), error:     16105.05078, best error:     15411.41113 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1171.2515869141s, input_fired_time: 9.6386890411, output_fired_time: 7.0789413452, propagate_forward_time: 437.0728149414, propagate_backward_time: 706.2371215820, weight_update_time: 0.6630190611, other_time: 11.2239990234
epoch time: 88.7250061035s, input_fired_time: 0.9653058052, output_fired_time: 0.0000000000, propagate_forward_time: 85.7414093018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0182876587
validation[          , genome  6344] predictions:    5184/  10000 (51.84%), best:    5184/10000 (51.84%), error:     15154.92480, best error:     15154.92480 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1148.7080078125s, input_fired_time: 9.3119983673, output_fired_time: 6.9723892212, propagate_forward_time: 423.3708496094, propagate_backward_time: 698.3638305664, weight_update_time: 0.6339609623, other_time: 10.6889038086
epoch time: 86.8996505737s, input_fired_time: 0.9740567803, output_fired_time: 0.0000000000, propagate_forward_time: 84.0154418945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9101486206
validation[          , genome  6344] predictions:    5288/  10000 (52.88%), best:    5184/10000 (51.84%), error:     15217.25098, best error:     15154.92480 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1142.8133544922s, input_fired_time: 9.3395204544, output_fired_time: 6.9817247391, propagate_forward_time: 419.9797668457, propagate_backward_time: 696.2016601562, weight_update_time: 0.6241860986, other_time: 10.3107910156
epoch time: 86.9679260254s, input_fired_time: 0.9386682510, output_fired_time: 0.0000000000, propagate_forward_time: 84.2356109619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7936477661
validation[          , genome  6344] predictions:    5266/  10000 (52.66%), best:    5266/10000 (52.66%), error:     14765.98047, best error:     14765.98047 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1151.5102539062s, input_fired_time: 9.3260421753, output_fired_time: 7.0147943497, propagate_forward_time: 424.6149291992, propagate_backward_time: 700.1128540039, weight_update_time: 0.6253293157, other_time: 10.4416503906
epoch time: 86.8363876343s, input_fired_time: 0.9935675263, output_fired_time: 0.0000000000, propagate_forward_time: 83.9356307983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9071884155
validation[          , genome  6344] predictions:    5263/  10000 (52.63%), best:    5263/10000 (52.63%), error:     14717.45898, best error:     14717.45898 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1148.6104736328s, input_fired_time: 9.3722906113, output_fired_time: 7.0236029625, propagate_forward_time: 424.4416198730, propagate_backward_time: 697.3682861328, weight_update_time: 0.6407396197, other_time: 10.4046630859
epoch time: 86.5549850464s, input_fired_time: 0.9500573277, output_fired_time: 0.0000000000, propagate_forward_time: 83.8529510498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7519760132
validation[          , genome  6344] predictions:    5316/  10000 (53.16%), best:    5316/10000 (53.16%), error:     14154.45312, best error:     14154.45312 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1156.3969726562s, input_fired_time: 9.2577390671, output_fired_time: 7.0593929291, propagate_forward_time: 423.9580078125, propagate_backward_time: 705.9802856445, weight_update_time: 0.6299832463, other_time: 10.1415405273
epoch time: 86.0191955566s, input_fired_time: 0.9345404506, output_fired_time: 0.0000000000, propagate_forward_time: 83.2424316406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8422241211
validation[          , genome  6344] predictions:    5449/  10000 (54.49%), best:    5316/10000 (53.16%), error:     14486.14648, best error:     14154.45312 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1150.6270751953s, input_fired_time: 9.1786088943, output_fired_time: 7.0058913231, propagate_forward_time: 420.4951477051, propagate_backward_time: 703.8646240234, weight_update_time: 0.6131355762, other_time: 10.0828857422
epoch time: 86.3649215698s, input_fired_time: 0.9281916022, output_fired_time: 0.0000000000, propagate_forward_time: 83.6677093506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7690200806
validation[          , genome  6344] predictions:    5227/  10000 (52.27%), best:    5316/10000 (53.16%), error:     15047.92969, best error:     14154.45312 on epoch:     6, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1144.5307617188s, input_fired_time: 9.3275232315, output_fired_time: 6.9743804932, propagate_forward_time: 421.0173950195, propagate_backward_time: 696.8375244141, weight_update_time: 0.6298897266, other_time: 10.3739624023
epoch time: 89.4201126099s, input_fired_time: 0.9991659522, output_fired_time: 0.0000000000, propagate_forward_time: 86.5256195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8953247070
validation[          , genome  6344] predictions:    5258/  10000 (52.58%), best:    5316/10000 (53.16%), error:     14891.92480, best error:     14154.45312 on epoch:     6, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1166.8049316406s, input_fired_time: 9.4766035080, output_fired_time: 7.0809779167, propagate_forward_time: 435.4991760254, propagate_backward_time: 703.7819824219, weight_update_time: 0.6542483568, other_time: 10.9663085938
epoch time: 94.7677764893s, input_fired_time: 1.0466700792, output_fired_time: 0.0000000000, propagate_forward_time: 91.6893615723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0317459106
validation[          , genome  6344] predictions:    5403/  10000 (54.03%), best:    5316/10000 (53.16%), error:     14168.65918, best error:     14154.45312 on epoch:     6, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1174.3815917969s, input_fired_time: 9.5760669708, output_fired_time: 7.0765743256, propagate_forward_time: 444.8103027344, propagate_backward_time: 701.5964965820, weight_update_time: 0.6732753515, other_time: 11.3222045898
epoch time: 95.0285186768s, input_fired_time: 1.0327948332, output_fired_time: 0.0000000000, propagate_forward_time: 91.9424514771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0532760620
validation[          , genome  6344] predictions:    5488/  10000 (54.88%), best:    5488/10000 (54.88%), error:     14119.78516, best error:     14119.78516 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1159.9608154297s, input_fired_time: 9.2793912888, output_fired_time: 7.0596823692, propagate_forward_time: 427.2947082520, propagate_backward_time: 705.3604125977, weight_update_time: 0.6473174095, other_time: 10.9666137695
epoch time: 84.8554077148s, input_fired_time: 0.9874024987, output_fired_time: 0.0000000000, propagate_forward_time: 81.9226303101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9453735352
validation[          , genome  6344] predictions:    5179/  10000 (51.79%), best:    5488/10000 (54.88%), error:     14989.97461, best error:     14119.78516 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1150.3488769531s, input_fired_time: 9.2960662842, output_fired_time: 7.0104064941, propagate_forward_time: 423.7271118164, propagate_backward_time: 699.3339233398, weight_update_time: 0.6536186337, other_time: 10.9814453125
epoch time: 87.6356048584s, input_fired_time: 0.9687549472, output_fired_time: 0.0000000000, propagate_forward_time: 84.6856155396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9812316895
validation[          , genome  6344] predictions:    5528/  10000 (55.28%), best:    5528/10000 (55.28%), error:     13928.80566, best error:     13928.80566 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1147.9050292969s, input_fired_time: 9.3587694168, output_fired_time: 6.9701132774, propagate_forward_time: 421.7553405762, propagate_backward_time: 698.8318481445, weight_update_time: 0.6451741457, other_time: 10.9889526367
epoch time: 90.2136688232s, input_fired_time: 1.0059846640, output_fired_time: 0.0000000000, propagate_forward_time: 87.2354049683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9722824097
validation[          , genome  6344] predictions:    5492/  10000 (54.92%), best:    5528/10000 (55.28%), error:     14142.05176, best error:     13928.80566 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1167.5250244141s, input_fired_time: 9.4557533264, output_fired_time: 7.0888862610, propagate_forward_time: 431.2236938477, propagate_backward_time: 708.7084960938, weight_update_time: 0.6502575278, other_time: 11.0481567383
epoch time: 88.5082092285s, input_fired_time: 1.0060858727, output_fired_time: 0.0000000000, propagate_forward_time: 85.4049682617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0971527100
validation[          , genome  6344] predictions:    5426/  10000 (54.26%), best:    5528/10000 (55.28%), error:     13983.37793, best error:     13928.80566 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1148.7055664062s, input_fired_time: 9.4600572586, output_fired_time: 6.9977345467, propagate_forward_time: 422.9954833984, propagate_backward_time: 698.1862182617, weight_update_time: 0.6529736519, other_time: 11.0661010742
epoch time: 89.0868453979s, input_fired_time: 1.0553351641, output_fired_time: 0.0000000000, propagate_forward_time: 86.0118331909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0196762085
validation[          , genome  6344] predictions:    5519/  10000 (55.19%), best:    5528/10000 (55.28%), error:     14081.57520, best error:     13928.80566 on epoch:    13, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1162.1215820312s, input_fired_time: 9.3712015152, output_fired_time: 7.0373797417, propagate_forward_time: 427.3557128906, propagate_backward_time: 707.2581176758, weight_update_time: 0.6513119936, other_time: 11.0991821289
epoch time: 87.1329193115s, input_fired_time: 0.9930304289, output_fired_time: 0.0000000000, propagate_forward_time: 84.1911926270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9486999512
validation[          , genome  6344] predictions:    5712/  10000 (57.12%), best:    5712/10000 (57.12%), error:     12905.96973, best error:     12905.96973 on epoch:    17, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1148.8330078125s, input_fired_time: 9.5199766159, output_fired_time: 6.9875969887, propagate_forward_time: 425.2307128906, propagate_backward_time: 696.1618041992, weight_update_time: 0.6478692889, other_time: 10.9329223633
epoch time: 87.5349578857s, input_fired_time: 1.0047768354, output_fired_time: 0.0000000000, propagate_forward_time: 84.5424346924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9877471924
validation[          , genome  6344] predictions:    5621/  10000 (56.21%), best:    5712/10000 (57.12%), error:     13606.10742, best error:     12905.96973 on epoch:    17, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1140.2310791016s, input_fired_time: 9.3467760086, output_fired_time: 6.9548163414, propagate_forward_time: 417.0630493164, propagate_backward_time: 696.1994628906, weight_update_time: 0.6354120374, other_time: 10.6669311523
epoch time: 85.4157028198s, input_fired_time: 0.9717354774, output_fired_time: 0.0000000000, propagate_forward_time: 82.6043701172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8395996094
validation[          , genome  6344] predictions:    5600/  10000 (56.00%), best:    5712/10000 (57.12%), error:     14047.16211, best error:     12905.96973 on epoch:    17, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1174.5716552734s, input_fired_time: 9.6065111160, output_fired_time: 7.1482319832, propagate_forward_time: 436.8749694824, propagate_backward_time: 710.1714477539, weight_update_time: 0.6502210498, other_time: 10.7704467773
epoch time: 86.5008392334s, input_fired_time: 0.9501695633, output_fired_time: 0.0000000000, propagate_forward_time: 83.5607376099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9899291992
validation[          , genome  6344] predictions:    5453/  10000 (54.53%), best:    5712/10000 (57.12%), error:     14004.51758, best error:     12905.96973 on epoch:    17, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1194.4777832031s, input_fired_time: 9.8372421265, output_fired_time: 7.3154397011, propagate_forward_time: 443.3676147461, propagate_backward_time: 722.1976928711, weight_update_time: 0.6903185844, other_time: 11.7597656250
epoch time: 94.6594314575s, input_fired_time: 1.0485317707, output_fired_time: 0.0000000000, propagate_forward_time: 91.4860916138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1248092651
validation[          , genome  6344] predictions:    5652/  10000 (56.52%), best:    5712/10000 (57.12%), error:     12981.81055, best error:     12905.96973 on epoch:    17, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1185.7860107422s, input_fired_time: 9.8129034042, output_fired_time: 7.1695652008, propagate_forward_time: 440.5586853027, propagate_backward_time: 716.6763305664, weight_update_time: 0.6798676848, other_time: 11.5685424805
epoch time: 90.3993682861s, input_fired_time: 1.0341790915, output_fired_time: 0.0000000000, propagate_forward_time: 87.3375244141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0276641846
validation[          , genome  6344] predictions:    5711/  10000 (57.11%), best:    5712/10000 (57.12%), error:     13235.67285, best error:     12905.96973 on epoch:    17, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1167.7430419922s, input_fired_time: 9.5181789398, output_fired_time: 7.0726943016, propagate_forward_time: 431.4801025391, propagate_backward_time: 708.7775878906, weight_update_time: 0.6428598166, other_time: 10.8944091797
epoch time: 89.8745269775s, input_fired_time: 1.0154082775, output_fired_time: 0.0000000000, propagate_forward_time: 86.8527145386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0064010620
validation[          , genome  6344] predictions:    5617/  10000 (56.17%), best:    5712/10000 (57.12%), error:     13604.24316, best error:     12905.96973 on epoch:    17, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1143.7603759766s, input_fired_time: 9.4020338058, output_fired_time: 6.9317336082, propagate_forward_time: 420.7479858398, propagate_backward_time: 696.0378417969, weight_update_time: 0.6289531589, other_time: 10.6408081055
epoch time: 87.6854400635s, input_fired_time: 1.0139997005, output_fired_time: 0.0000000000, propagate_forward_time: 84.7107925415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9606475830
validation[          , genome  6344] predictions:    5540/  10000 (55.40%), best:    5712/10000 (57.12%), error:     13706.36426, best error:     12905.96973 on epoch:    17, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1148.1210937500s, input_fired_time: 9.4702501297, output_fired_time: 6.9813795090, propagate_forward_time: 422.3523254395, propagate_backward_time: 698.6550292969, weight_update_time: 0.6328532100, other_time: 10.6622314453
epoch time: 86.7711486816s, input_fired_time: 0.9879627228, output_fired_time: 0.0000000000, propagate_forward_time: 83.9287796021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8544082642
validation[          , genome  6344] predictions:    5697/  10000 (56.97%), best:    5712/10000 (57.12%), error:     13133.12500, best error:     12905.96973 on epoch:    17, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1149.0253906250s, input_fired_time: 9.5158977509, output_fired_time: 6.9861621857, propagate_forward_time: 423.6369934082, propagate_backward_time: 698.2532958984, weight_update_time: 0.6333877444, other_time: 10.6330566406
epoch time: 86.2022476196s, input_fired_time: 0.9619427323, output_fired_time: 0.0000000000, propagate_forward_time: 83.3856658936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8546371460
validation[          , genome  6344] predictions:    5859/  10000 (58.59%), best:    5859/10000 (58.59%), error:     12447.02930, best error:     12447.02930 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1122.5708007812s, input_fired_time: 9.4811067581, output_fired_time: 6.8972749710, propagate_forward_time: 413.9227294922, propagate_backward_time: 681.8911743164, weight_update_time: 0.6399961114, other_time: 10.3786010742
epoch time: 85.0642776489s, input_fired_time: 1.0158190727, output_fired_time: 0.0000000000, propagate_forward_time: 82.2433776855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8050842285
validation[          , genome  6344] predictions:    5778/  10000 (57.78%), best:    5859/10000 (58.59%), error:     12868.47168, best error:     12447.02930 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1126.8912353516s, input_fired_time: 9.5590429306, output_fired_time: 6.9225640297, propagate_forward_time: 413.9275817871, propagate_backward_time: 686.1334228516, weight_update_time: 0.6422849894, other_time: 10.3485107422
epoch time: 81.5752639771s, input_fired_time: 0.9759419560, output_fired_time: 0.0000000000, propagate_forward_time: 78.9560699463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6432495117
validation[          , genome  6344] predictions:    5724/  10000 (57.24%), best:    5859/10000 (58.59%), error:     12957.96387, best error:     12447.02930 on epoch:    26, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1120.1668701172s, input_fired_time: 9.4590330124, output_fired_time: 6.9343547821, propagate_forward_time: 408.6663818359, propagate_backward_time: 685.3701171875, weight_update_time: 0.6279631853, other_time: 9.7370605469
epoch time: 85.4328308105s, input_fired_time: 1.0134488344, output_fired_time: 0.0000000000, propagate_forward_time: 82.6656112671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7537689209
validation[          , genome  6344] predictions:    5926/  10000 (59.26%), best:    5859/10000 (58.59%), error:     12504.75684, best error:     12447.02930 on epoch:    26, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1133.6594238281s, input_fired_time: 9.5129985809, output_fired_time: 6.9621238708, propagate_forward_time: 413.3037414551, propagate_backward_time: 694.1398315430, weight_update_time: 0.6252925396, other_time: 9.7407836914
epoch time: 83.4597473145s, input_fired_time: 1.0160400867, output_fired_time: 0.0000000000, propagate_forward_time: 80.6710968018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7726135254
validation[          , genome  6344] predictions:    5895/  10000 (58.95%), best:    5859/10000 (58.59%), error:     12588.77246, best error:     12447.02930 on epoch:    26, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1679.5672607422s, input_fired_time: 9.4926328659, output_fired_time: 6.9907402992, propagate_forward_time: 417.7312316895, propagate_backward_time: 1235.3911132812, weight_update_time: 0.6208931804, other_time: 9.9615478516
epoch time: 82.8003158569s, input_fired_time: 0.9798825979, output_fired_time: 0.0000000000, propagate_forward_time: 80.0674209595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7530136108
validation[          , genome  6344] predictions:    5770/  10000 (57.70%), best:    5859/10000 (58.59%), error:     13010.21289, best error:     12447.02930 on epoch:    26, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1128.3527832031s, input_fired_time: 9.7759857178, output_fired_time: 6.8841471672, propagate_forward_time: 415.2983093262, propagate_backward_time: 686.3020019531, weight_update_time: 0.6295565367, other_time: 10.0922851562
epoch time: 86.5351028442s, input_fired_time: 1.0687386990, output_fired_time: 0.0000000000, propagate_forward_time: 83.5877990723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8785629272
validation[          , genome  6344] predictions:    5862/  10000 (58.62%), best:    5859/10000 (58.59%), error:     12988.47363, best error:     12447.02930 on epoch:    26, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1114.9415283203s, input_fired_time: 9.6745367050, output_fired_time: 6.8759498596, propagate_forward_time: 411.0651855469, propagate_backward_time: 677.1974487305, weight_update_time: 0.6320877671, other_time: 10.1283569336
epoch time: 86.9722671509s, input_fired_time: 1.0583604574, output_fired_time: 0.0000000000, propagate_forward_time: 84.0159835815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8979263306
validation[          , genome  6344] predictions:    5977/  10000 (59.77%), best:    5977/10000 (59.77%), error:     12259.62109, best error:     12259.62109 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1127.3050537109s, input_fired_time: 9.6938047409, output_fired_time: 6.8894324303, propagate_forward_time: 416.1673583984, propagate_backward_time: 684.1288452148, weight_update_time: 0.6360532641, other_time: 10.4255981445
epoch time: 85.8480987549s, input_fired_time: 1.0545446873, output_fired_time: 0.0000000000, propagate_forward_time: 82.9481277466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8454284668
validation[          , genome  6344] predictions:    5923/  10000 (59.23%), best:    5977/10000 (59.77%), error:     12308.71094, best error:     12259.62109 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1129.0067138672s, input_fired_time: 9.6865034103, output_fired_time: 6.9382467270, propagate_forward_time: 417.0584411621, propagate_backward_time: 684.5159912109, weight_update_time: 0.6540457010, other_time: 10.8074951172
epoch time: 89.6268157959s, input_fired_time: 1.0864938498, output_fired_time: 0.0000000000, propagate_forward_time: 86.4250411987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1152801514
validation[          , genome  6344] predictions:    5890/  10000 (58.90%), best:    5977/10000 (59.77%), error:     12752.00879, best error:     12259.62109 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1137.8653564453s, input_fired_time: 9.8497772217, output_fired_time: 6.9273939133, propagate_forward_time: 423.7040405273, propagate_backward_time: 686.1149902344, weight_update_time: 0.6645060182, other_time: 11.2692260742
epoch time: 85.9843597412s, input_fired_time: 1.0705302954, output_fired_time: 0.0000000000, propagate_forward_time: 82.8423767090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0714492798
validation[          , genome  6344] predictions:    6034/  10000 (60.34%), best:    5977/10000 (59.77%), error:     12267.64453, best error:     12259.62109 on epoch:    33, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1155.3123779297s, input_fired_time: 9.8507747650, output_fired_time: 6.9966998100, propagate_forward_time: 430.0950317383, propagate_backward_time: 696.9621582031, weight_update_time: 0.6725270748, other_time: 11.4076538086
epoch time: 86.7143707275s, input_fired_time: 1.1064865589, output_fired_time: 0.0000000000, propagate_forward_time: 83.6086120605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9992752075
validation[          , genome  6344] predictions:    5902/  10000 (59.02%), best:    5977/10000 (59.77%), error:     12736.71387, best error:     12259.62109 on epoch:    33, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1143.3756103516s, input_fired_time: 9.7106332779, output_fired_time: 6.9474940300, propagate_forward_time: 422.4170837402, propagate_backward_time: 693.0042724609, weight_update_time: 0.6590718627, other_time: 11.2960205078
epoch time: 86.5697708130s, input_fired_time: 0.9972146153, output_fired_time: 0.0000000000, propagate_forward_time: 83.6554946899, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9170608521
validation[          , genome  6344] predictions:    5898/  10000 (58.98%), best:    5977/10000 (59.77%), error:     12644.82422, best error:     12259.62109 on epoch:    33, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1136.2773437500s, input_fired_time: 9.6475324631, output_fired_time: 6.9435634613, propagate_forward_time: 418.3377075195, propagate_backward_time: 690.3638916016, weight_update_time: 0.6607301831, other_time: 10.9845581055
epoch time: 88.1972579956s, input_fired_time: 1.1031440496, output_fired_time: 0.0000000000, propagate_forward_time: 85.0614013672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0327148438
validation[          , genome  6344] predictions:    5943/  10000 (59.43%), best:    5977/10000 (59.77%), error:     12558.36523, best error:     12259.62109 on epoch:    33, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1142.0798339844s, input_fired_time: 9.6419467926, output_fired_time: 6.9735112190, propagate_forward_time: 419.2606201172, propagate_backward_time: 695.1151733398, weight_update_time: 0.6486909986, other_time: 11.0885620117
epoch time: 86.7309799194s, input_fired_time: 1.0710284710, output_fired_time: 0.0000000000, propagate_forward_time: 83.5768356323, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0831146240
validation[          , genome  6344] predictions:    5982/  10000 (59.82%), best:    5977/10000 (59.77%), error:     12333.16602, best error:     12259.62109 on epoch:    33, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1140.0686035156s, input_fired_time: 9.7005109787, output_fired_time: 6.9438366890, propagate_forward_time: 418.8593139648, propagate_backward_time: 693.3828735352, weight_update_time: 0.6485747099, other_time: 11.1820068359
epoch time: 86.5618820190s, input_fired_time: 1.1019966602, output_fired_time: 0.0000000000, propagate_forward_time: 83.4839096069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9759750366
validation[          , genome  6344] predictions:    5968/  10000 (59.68%), best:    5977/10000 (59.77%), error:     12444.26953, best error:     12259.62109 on epoch:    33, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1134.8302001953s, input_fired_time: 9.8009891510, output_fired_time: 6.9269556999, propagate_forward_time: 421.5938415527, propagate_backward_time: 685.3278198242, weight_update_time: 0.6616187692, other_time: 11.1804809570
epoch time: 81.8301544189s, input_fired_time: 1.0902519226, output_fired_time: 0.0000000000, propagate_forward_time: 78.9293746948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8105239868
validation[          , genome  6344] predictions:    5969/  10000 (59.69%), best:    5977/10000 (59.77%), error:     12419.28027, best error:     12259.62109 on epoch:    33, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1149.8355712891s, input_fired_time: 9.8799486160, output_fired_time: 7.0082073212, propagate_forward_time: 426.1055297852, propagate_backward_time: 695.5624389648, weight_update_time: 0.6707087755, other_time: 11.2794189453
epoch time: 91.1052017212s, input_fired_time: 1.1107518673, output_fired_time: 0.0000000000, propagate_forward_time: 87.8781814575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1162719727
validation[          , genome  6344] predictions:    5973/  10000 (59.73%), best:    5977/10000 (59.77%), error:     12292.26367, best error:     12259.62109 on epoch:    33, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1150.5989990234s, input_fired_time: 9.9192762375, output_fired_time: 6.9874887466, propagate_forward_time: 428.5536193848, propagate_backward_time: 693.6791381836, weight_update_time: 0.6710574031, other_time: 11.4594116211
epoch time: 90.1275787354s, input_fired_time: 1.1661483049, output_fired_time: 0.0000000000, propagate_forward_time: 86.8692626953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0921707153
validation[          , genome  6344] predictions:    6046/  10000 (60.46%), best:    6046/10000 (60.46%), error:     12073.08008, best error:     12073.08008 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1161.1085205078s, input_fired_time: 9.9900760651, output_fired_time: 7.0168423653, propagate_forward_time: 431.3114013672, propagate_backward_time: 701.0822143555, weight_update_time: 0.6813010573, other_time: 11.7079467773
epoch time: 88.2978668213s, input_fired_time: 1.0647798777, output_fired_time: 0.0000000000, propagate_forward_time: 85.1770935059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0559921265
validation[          , genome  6344] predictions:    5947/  10000 (59.47%), best:    6046/10000 (60.46%), error:     12515.83691, best error:     12073.08008 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1152.5642089844s, input_fired_time: 9.9386215210, output_fired_time: 6.9705514908, propagate_forward_time: 429.3476867676, propagate_backward_time: 694.8806762695, weight_update_time: 0.6723704338, other_time: 11.4266967773
epoch time: 85.5092163086s, input_fired_time: 1.0995936394, output_fired_time: 0.0000000000, propagate_forward_time: 82.4667968750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9428253174
validation[          , genome  6344] predictions:    6041/  10000 (60.41%), best:    6046/10000 (60.46%), error:     12290.35449, best error:     12073.08008 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1134.7596435547s, input_fired_time: 9.8568105698, output_fired_time: 6.9359345436, propagate_forward_time: 417.8626708984, propagate_backward_time: 689.2015380859, weight_update_time: 0.6529006362, other_time: 10.9027099609
epoch time: 86.3535003662s, input_fired_time: 1.1063277721, output_fired_time: 0.0000000000, propagate_forward_time: 83.3037033081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9434661865
validation[          , genome  6344] predictions:    6194/  10000 (61.94%), best:    6194/10000 (61.94%), error:     11847.27539, best error:     11847.27539 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1105.0738525391s, input_fired_time: 9.9073381424, output_fired_time: 6.9306178093, propagate_forward_time: 406.3631591797, propagate_backward_time: 671.4271850586, weight_update_time: 0.6532217860, other_time: 10.4454956055
epoch time: 86.3377380371s, input_fired_time: 1.0703227520, output_fired_time: 0.0000000000, propagate_forward_time: 83.3854827881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8819351196
validation[          , genome  6344] predictions:    6036/  10000 (60.36%), best:    6194/10000 (61.94%), error:     12333.44727, best error:     11847.27539 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1116.8092041016s, input_fired_time: 9.9695119858, output_fired_time: 6.8608851433, propagate_forward_time: 413.0508117676, propagate_backward_time: 676.2732543945, weight_update_time: 0.6509925723, other_time: 10.6548461914
epoch time: 84.2002868652s, input_fired_time: 1.0465899706, output_fired_time: 0.0000000000, propagate_forward_time: 81.3027572632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8509368896
validation[          , genome  6344] predictions:    6070/  10000 (60.70%), best:    6194/10000 (61.94%), error:     12424.86035, best error:     11847.27539 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1131.7236328125s, input_fired_time: 10.1245002747, output_fired_time: 6.9627699852, propagate_forward_time: 416.6941528320, propagate_backward_time: 687.1444702148, weight_update_time: 0.6604026556, other_time: 10.7977294922
epoch time: 85.7462921143s, input_fired_time: 1.0914993286, output_fired_time: 0.0000000000, propagate_forward_time: 82.7172470093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9375457764
validation[          , genome  6344] predictions:    6152/  10000 (61.52%), best:    6194/10000 (61.94%), error:     11986.73633, best error:     11847.27539 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 447.1279296875s, input_fired_time: 5.5636281967, output_fired_time: 0.0000000000, propagate_forward_time: 431.6607360840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.9035644531
best training[          , genome  6344] predictions:   36967/  50000 (73.93%), best:    6194/10000 (61.94%), error:     38094.79688, best error:     11847.27539 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 89.8960342407s, input_fired_time: 1.1172480583, output_fired_time: 0.0000000000, propagate_forward_time: 86.7528915405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0258941650
   testing[          , genome  6344] predictions:    6194/  10000 (61.94%), best:    6194/10000 (61.94%), error:     11847.27539, best error:     11847.27539 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
15:56:28 (27693): called boinc_finish(0)

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