Nameexact_genome_1542692703_176_6381_2
Workunit4100487
Created20 Nov 2018, 8:19:19 UTC
Sent20 Nov 2018, 8:43:39 UTC
Report deadline4 Jan 2019, 3:48:38 UTC
Received17 Dec 2018, 5:26:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID79157
Run time11 hours 21 min 29 sec
CPU time11 hours 18 min 41 sec
Validate stateValid
Credit11,198.78
Device peak FLOPS4.43 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.75 MB
Peak swap size542.63 MB
Peak disk usage10.50 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6381.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6381_2_r1434310338_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6381.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: 6381
read normal distribution: '1 -0.230705767869949 0.946146845817566'
generator_str: '618615044'
read generator: 618615044
read generated_by_map:
1 merge_node 1
reading 85 nodes.
reading 340 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: 1094709381
post shuffle 1: 275882781
epoch time: 749.536254882813s, input_fired_time: 6.05940771102905, output_fired_time: 4.12718057632446, propagate_forward_time: 214.732696533203, propagate_backward_time: 517.775390625, weight_update_time: 0.741635024547577, other_time: 6.841552734375
epoch time: 44.7503852844238s, input_fired_time: 0.628473937511444, output_fired_time: 0, propagate_forward_time: 42.9454727172852, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.17643737792969
validation[          , genome  6381] predictions:    4847/  10000 (48.47%), best:    4847/10000 (48.47%), error:     17378.02148, best error:     17378.02148 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 750.8829345703s, input_fired_time: 6.0354485512, output_fired_time: 4.1229915619, propagate_forward_time: 214.9617156982, propagate_backward_time: 518.4264526367, weight_update_time: 0.7421885133, other_time: 7.3363037109
epoch time: 44.8005523682s, input_fired_time: 0.6173535585, output_fired_time: 0.0000000000, propagate_forward_time: 43.0703277588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1128692627
validation[          , genome  6381] predictions:    4621/  10000 (46.21%), best:    4847/10000 (48.47%), error:     19163.03711, best error:     17378.02148 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 750.6033935547s, input_fired_time: 6.0018854141, output_fired_time: 4.1254472733, propagate_forward_time: 215.1609954834, propagate_backward_time: 518.3404541016, weight_update_time: 0.7444009781, other_time: 6.9746093750
epoch time: 44.7605209351s, input_fired_time: 0.6179767251, output_fired_time: 0.0000000000, propagate_forward_time: 43.0339546204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1085891724
validation[          , genome  6381] predictions:    5191/  10000 (51.91%), best:    5191/10000 (51.91%), error:     15800.97559, best error:     15800.97559 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 750.8023681641s, input_fired_time: 6.0003747940, output_fired_time: 4.1410617828, propagate_forward_time: 215.3082580566, propagate_backward_time: 518.4043579102, weight_update_time: 0.7432644367, other_time: 6.9483032227
epoch time: 44.7043380737s, input_fired_time: 0.6036878824, output_fired_time: 0.0000000000, propagate_forward_time: 42.9845085144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1161422729
validation[          , genome  6381] predictions:    5046/  10000 (50.46%), best:    5046/10000 (50.46%), error:     15582.34766, best error:     15582.34766 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 749.9716796875s, input_fired_time: 5.9800548553, output_fired_time: 4.1209669113, propagate_forward_time: 214.8284454346, propagate_backward_time: 518.0755615234, weight_update_time: 0.7411333323, other_time: 6.9666748047
epoch time: 45.9802131653s, input_fired_time: 0.6053172946, output_fired_time: 0.0000000000, propagate_forward_time: 42.9808654785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3940315247
validation[          , genome  6381] predictions:    4615/  10000 (46.15%), best:    5046/10000 (50.46%), error:     17941.05859, best error:     15582.34766 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 750.6858520508s, input_fired_time: 5.9762301445, output_fired_time: 4.1358880997, propagate_forward_time: 215.2624664307, propagate_backward_time: 518.4393920898, weight_update_time: 0.7436545491, other_time: 6.8718872070
epoch time: 44.6997184753s, input_fired_time: 0.6059308052, output_fired_time: 0.0000000000, propagate_forward_time: 42.9841651917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1096229553
validation[          , genome  6381] predictions:    4939/  10000 (49.39%), best:    5046/10000 (50.46%), error:     15982.59570, best error:     15582.34766 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 749.6474609375s, input_fired_time: 5.9660992622, output_fired_time: 4.1253314018, propagate_forward_time: 214.6859283447, propagate_backward_time: 517.9335327148, weight_update_time: 0.7410178185, other_time: 6.9365844727
epoch time: 44.6497306824s, input_fired_time: 0.6065695882, output_fired_time: 0.0000000000, propagate_forward_time: 42.8555297852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1876296997
validation[          , genome  6381] predictions:    5153/  10000 (51.53%), best:    5153/10000 (51.53%), error:     15449.28613, best error:     15449.28613 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 749.8514404297s, input_fired_time: 5.9621973038, output_fired_time: 4.1258192062, propagate_forward_time: 214.9252624512, propagate_backward_time: 517.9058227539, weight_update_time: 0.7405525446, other_time: 6.9323120117
epoch time: 44.5895462036s, input_fired_time: 0.6098168492, output_fired_time: 0.0000000000, propagate_forward_time: 42.8711013794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1086273193
validation[          , genome  6381] predictions:    5115/  10000 (51.15%), best:    5153/10000 (51.53%), error:     15718.63867, best error:     15449.28613 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 749.2009887695s, input_fired_time: 5.9734449387, output_fired_time: 4.1191248894, propagate_forward_time: 214.7861480713, propagate_backward_time: 517.5524291992, weight_update_time: 0.7390062213, other_time: 6.7698364258
epoch time: 44.6844406128s, input_fired_time: 0.6060765982, output_fired_time: 0.0000000000, propagate_forward_time: 42.9724235535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1059417725
validation[          , genome  6381] predictions:    5219/  10000 (52.19%), best:    5219/10000 (52.19%), error:     14927.56836, best error:     14927.56836 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 750.2514648438s, input_fired_time: 5.9787001610, output_fired_time: 4.1242856979, propagate_forward_time: 215.1634826660, propagate_backward_time: 518.2334594727, weight_update_time: 0.7410241365, other_time: 6.7515258789
epoch time: 44.6730155945s, input_fired_time: 0.6175662875, output_fired_time: 0.0000000000, propagate_forward_time: 42.9511146545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1043357849
validation[          , genome  6381] predictions:    5173/  10000 (51.73%), best:    5219/10000 (52.19%), error:     15472.63477, best error:     14927.56836 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 748.8217773438s, input_fired_time: 5.9591956139, output_fired_time: 4.1246047020, propagate_forward_time: 214.5697937012, propagate_backward_time: 517.4360351563, weight_update_time: 0.7417279482, other_time: 6.7321777344
epoch time: 44.6405525208s, input_fired_time: 0.6098564863, output_fired_time: 0.0000000000, propagate_forward_time: 42.9221458435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1085510254
validation[          , genome  6381] predictions:    5251/  10000 (52.51%), best:    5251/10000 (52.51%), error:     14276.22852, best error:     14276.22852 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 749.9146728516s, input_fired_time: 5.9793219566, output_fired_time: 4.1215076447, propagate_forward_time: 215.0328979492, propagate_backward_time: 518.0419921875, weight_update_time: 0.7401310802, other_time: 6.7389526367
epoch time: 44.6311569214s, input_fired_time: 0.6140053868, output_fired_time: 0.0000000000, propagate_forward_time: 42.9083480835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1088027954
validation[          , genome  6381] predictions:    5250/  10000 (52.50%), best:    5251/10000 (52.51%), error:     14671.60840, best error:     14276.22852 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 750.1105957031s, input_fired_time: 5.9921040535, output_fired_time: 4.1300020218, propagate_forward_time: 215.1675872803, propagate_backward_time: 518.0682373047, weight_update_time: 0.7419883609, other_time: 6.7526245117
epoch time: 44.6372795105s, input_fired_time: 0.6207809448, output_fired_time: 0.0000000000, propagate_forward_time: 42.9096946716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1068038940
validation[          , genome  6381] predictions:    5236/  10000 (52.36%), best:    5251/10000 (52.51%), error:     14994.43848, best error:     14276.22852 on epoch:    10, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 749.8278808594s, input_fired_time: 5.9860730171, output_fired_time: 4.1348910332, propagate_forward_time: 214.9081573486, propagate_backward_time: 517.9691162109, weight_update_time: 0.7393234968, other_time: 6.8296508789
epoch time: 44.7632064819s, input_fired_time: 0.6097672582, output_fired_time: 0.0000000000, propagate_forward_time: 42.9630088806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1904296875
validation[          , genome  6381] predictions:    5132/  10000 (51.32%), best:    5251/10000 (52.51%), error:     14952.13672, best error:     14276.22852 on epoch:    10, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 750.3548583984s, input_fired_time: 5.9883799553, output_fired_time: 4.1313328743, propagate_forward_time: 214.8790588379, propagate_backward_time: 518.2499389648, weight_update_time: 0.7424412370, other_time: 7.1061401367
epoch time: 44.6605567932s, input_fired_time: 0.5940117836, output_fired_time: 0.0000000000, propagate_forward_time: 42.8873138428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1792297363
validation[          , genome  6381] predictions:    5263/  10000 (52.63%), best:    5251/10000 (52.51%), error:     14360.90820, best error:     14276.22852 on epoch:    10, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 750.3326416016s, input_fired_time: 5.9933657646, output_fired_time: 4.1164941788, propagate_forward_time: 214.9741821289, propagate_backward_time: 518.1793823242, weight_update_time: 0.7419546247, other_time: 7.0692138672
epoch time: 44.6297454834s, input_fired_time: 0.6172726750, output_fired_time: 0.0000000000, propagate_forward_time: 42.8313331604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1811408997
validation[          , genome  6381] predictions:    5434/  10000 (54.34%), best:    5434/10000 (54.34%), error:     13927.32910, best error:     13927.32910 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 749.4975585938s, input_fired_time: 5.9946589470, output_fired_time: 4.1179924011, propagate_forward_time: 214.7955169678, propagate_backward_time: 517.6286621094, weight_update_time: 0.7413054109, other_time: 6.9607543945
epoch time: 44.7256126404s, input_fired_time: 0.6287091970, output_fired_time: 0.0000000000, propagate_forward_time: 42.9946937561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1022109985
validation[          , genome  6381] predictions:    5472/  10000 (54.72%), best:    5472/10000 (54.72%), error:     13748.68848, best error:     13748.68848 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 750.1968994141s, input_fired_time: 6.0133900642, output_fired_time: 4.1262149811, propagate_forward_time: 215.1181945801, propagate_backward_time: 518.1347656250, weight_update_time: 0.7424438000, other_time: 6.8043212891
epoch time: 44.6446571350s, input_fired_time: 0.6100689769, output_fired_time: 0.0000000000, propagate_forward_time: 42.9267845154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1078033447
validation[          , genome  6381] predictions:    5491/  10000 (54.91%), best:    5491/10000 (54.91%), error:     13619.81055, best error:     13619.81055 on epoch:    17, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 751.6156005859s, input_fired_time: 6.0429248810, output_fired_time: 4.1286797523, propagate_forward_time: 215.4016723633, propagate_backward_time: 518.9845581055, weight_update_time: 0.7415593863, other_time: 7.0578002930
epoch time: 44.8077659607s, input_fired_time: 0.6277537346, output_fired_time: 0.0000000000, propagate_forward_time: 43.0134124756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1665992737
validation[          , genome  6381] predictions:    5408/  10000 (54.08%), best:    5491/10000 (54.91%), error:     14005.96680, best error:     13619.81055 on epoch:    17, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 749.8751220703s, input_fired_time: 6.0161709785, output_fired_time: 4.1217226982, propagate_forward_time: 214.6493530273, propagate_backward_time: 517.9397583008, weight_update_time: 0.7416728735, other_time: 7.1481323242
epoch time: 44.7157287598s, input_fired_time: 0.6233798862, output_fired_time: 0.0000000000, propagate_forward_time: 42.8887901306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2035598755
validation[          , genome  6381] predictions:    5479/  10000 (54.79%), best:    5491/10000 (54.91%), error:     14297.33203, best error:     13619.81055 on epoch:    17, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 749.8265380859s, input_fired_time: 6.0423254967, output_fired_time: 4.1267070770, propagate_forward_time: 214.9748077393, propagate_backward_time: 517.8542480469, weight_update_time: 0.7427610159, other_time: 6.8284912109
epoch time: 44.7125091553s, input_fired_time: 0.6314289570, output_fired_time: 0.0000000000, propagate_forward_time: 42.9739151001, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1071662903
validation[          , genome  6381] predictions:    5367/  10000 (53.67%), best:    5491/10000 (54.91%), error:     14332.89746, best error:     13619.81055 on epoch:    17, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 750.6318969727s, input_fired_time: 6.0365800858, output_fired_time: 4.1373734474, propagate_forward_time: 215.2028808594, propagate_backward_time: 518.4940185547, weight_update_time: 0.7444297671, other_time: 6.7610473633
epoch time: 44.7102813721s, input_fired_time: 0.6282564402, output_fired_time: 0.0000000000, propagate_forward_time: 42.9764213562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1056022644
validation[          , genome  6381] predictions:    5483/  10000 (54.83%), best:    5491/10000 (54.91%), error:     13887.94238, best error:     13619.81055 on epoch:    17, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 749.6411132813s, input_fired_time: 6.0424699783, output_fired_time: 4.1263642311, propagate_forward_time: 214.9172668457, propagate_backward_time: 517.7838745117, weight_update_time: 0.7424815297, other_time: 6.7711791992
epoch time: 44.6072158813s, input_fired_time: 0.6314006448, output_fired_time: 0.0000000000, propagate_forward_time: 42.8703422546, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1054725647
validation[          , genome  6381] predictions:    5624/  10000 (56.24%), best:    5624/10000 (56.24%), error:     13192.65625, best error:     13192.65625 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 750.4792480469s, input_fired_time: 6.0504012108, output_fired_time: 4.1248040199, propagate_forward_time: 214.9538116455, propagate_backward_time: 518.5001831055, weight_update_time: 0.7449962497, other_time: 6.8500366211
epoch time: 44.6377563477s, input_fired_time: 0.6234097481, output_fired_time: 0.0000000000, propagate_forward_time: 42.9040832520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1102638245
validation[          , genome  6381] predictions:    5452/  10000 (54.52%), best:    5624/10000 (56.24%), error:     13938.10449, best error:     13192.65625 on epoch:    22, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 749.4782104492s, input_fired_time: 6.0615100861, output_fired_time: 4.1246838570, propagate_forward_time: 214.8804931641, propagate_backward_time: 517.6866455078, weight_update_time: 0.7415306568, other_time: 6.7248535156
epoch time: 44.6723251343s, input_fired_time: 0.6233744621, output_fired_time: 0.0000000000, propagate_forward_time: 42.9461326599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1028175354
validation[          , genome  6381] predictions:    5600/  10000 (56.00%), best:    5624/10000 (56.24%), error:     13282.41504, best error:     13192.65625 on epoch:    22, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 749.8807373047s, input_fired_time: 6.0523061752, output_fired_time: 4.1211771965, propagate_forward_time: 214.8629150391, propagate_backward_time: 518.0550537109, weight_update_time: 0.7418662310, other_time: 6.7893066406
epoch time: 44.6599884033s, input_fired_time: 0.6239826083, output_fired_time: 0.0000000000, propagate_forward_time: 42.9196434021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1163635254
validation[          , genome  6381] predictions:    5579/  10000 (55.79%), best:    5624/10000 (56.24%), error:     13420.22461, best error:     13192.65625 on epoch:    22, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 749.9980468750s, input_fired_time: 6.0734453201, output_fired_time: 4.1299881935, propagate_forward_time: 214.9678955078, propagate_backward_time: 518.0646362305, weight_update_time: 0.7417966127, other_time: 6.7620849609
epoch time: 44.6796379089s, input_fired_time: 0.6394515038, output_fired_time: 0.0000000000, propagate_forward_time: 42.9289131165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1112747192
validation[          , genome  6381] predictions:    5697/  10000 (56.97%), best:    5624/10000 (56.24%), error:     13461.41211, best error:     13192.65625 on epoch:    22, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 750.5112915039s, input_fired_time: 6.0619788170, output_fired_time: 4.1245970726, propagate_forward_time: 215.1710662842, propagate_backward_time: 518.4056396484, weight_update_time: 0.7439895868, other_time: 6.7480468750
epoch time: 44.7555656433s, input_fired_time: 0.6324646473, output_fired_time: 0.0000000000, propagate_forward_time: 43.0079307556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1151695251
validation[          , genome  6381] predictions:    5620/  10000 (56.20%), best:    5624/10000 (56.24%), error:     13324.11230, best error:     13192.65625 on epoch:    22, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 750.8683471680s, input_fired_time: 6.0782880783, output_fired_time: 4.1346077919, propagate_forward_time: 215.1165161133, propagate_backward_time: 518.7441406250, weight_update_time: 0.7424606681, other_time: 6.7947998047
epoch time: 44.7126770020s, input_fired_time: 0.6259065270, output_fired_time: 0.0000000000, propagate_forward_time: 42.9730300903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1137390137
validation[          , genome  6381] predictions:    5489/  10000 (54.89%), best:    5624/10000 (56.24%), error:     13947.53125, best error:     13192.65625 on epoch:    22, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 753.3817138672s, input_fired_time: 6.1181292534, output_fired_time: 4.1390209198, propagate_forward_time: 215.9809112549, propagate_backward_time: 520.3594970703, weight_update_time: 0.7410921454, other_time: 6.7841796875
epoch time: 44.7136154175s, input_fired_time: 0.6394547820, output_fired_time: 0.0000000000, propagate_forward_time: 42.9547996521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1193618774
validation[          , genome  6381] predictions:    5793/  10000 (57.93%), best:    5793/10000 (57.93%), error:     12931.75684, best error:     12931.75684 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 750.5803222656s, input_fired_time: 6.1006884575, output_fired_time: 4.1404213905, propagate_forward_time: 215.0594024658, propagate_backward_time: 518.5175781250, weight_update_time: 0.7452049255, other_time: 6.7622070313
epoch time: 44.9607849121s, input_fired_time: 0.6364602447, output_fired_time: 0.0000000000, propagate_forward_time: 43.2073974609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1169281006
validation[          , genome  6381] predictions:    5759/  10000 (57.59%), best:    5759/10000 (57.59%), error:     12709.21680, best error:     12709.21680 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 751.4442138672s, input_fired_time: 6.1115388870, output_fired_time: 4.1374864578, propagate_forward_time: 215.4517669678, propagate_backward_time: 518.8579711914, weight_update_time: 0.7444415689, other_time: 6.8854370117
epoch time: 44.7368659973s, input_fired_time: 0.6317949891, output_fired_time: 0.0000000000, propagate_forward_time: 42.9877281189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1173439026
validation[          , genome  6381] predictions:    5554/  10000 (55.54%), best:    5759/10000 (57.59%), error:     13535.35156, best error:     12709.21680 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 751.5723876953s, input_fired_time: 6.1026158333, output_fired_time: 4.1325793266, propagate_forward_time: 215.4297637939, propagate_backward_time: 518.9364624023, weight_update_time: 0.7407300472, other_time: 6.9710083008
epoch time: 44.7366638184s, input_fired_time: 0.6437457204, output_fired_time: 0.0000000000, propagate_forward_time: 42.9781417847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1147766113
validation[          , genome  6381] predictions:    5845/  10000 (58.45%), best:    5845/10000 (58.45%), error:     12463.27148, best error:     12463.27148 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 750.8093872070s, input_fired_time: 6.1176161766, output_fired_time: 4.1324934959, propagate_forward_time: 215.1364440918, propagate_backward_time: 518.6387329102, weight_update_time: 0.7404356599, other_time: 6.7841186523
epoch time: 44.8349456787s, input_fired_time: 0.6407065988, output_fired_time: 0.0000000000, propagate_forward_time: 43.0855102539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1087303162
validation[          , genome  6381] predictions:    5926/  10000 (59.26%), best:    5926/10000 (59.26%), error:     12408.87988, best error:     12408.87988 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 751.1426391602s, input_fired_time: 6.1202840805, output_fired_time: 4.1375961304, propagate_forward_time: 215.2283020020, propagate_backward_time: 518.8936767578, weight_update_time: 0.7417158484, other_time: 6.7628173828
epoch time: 44.7061271667s, input_fired_time: 0.6496277452, output_fired_time: 0.0000000000, propagate_forward_time: 42.9433364868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1131629944
validation[          , genome  6381] predictions:    5696/  10000 (56.96%), best:    5926/10000 (59.26%), error:     12825.99707, best error:     12408.87988 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 750.8861083984s, input_fired_time: 6.1267294884, output_fired_time: 4.1411314011, propagate_forward_time: 215.2922515869, propagate_backward_time: 518.5330200195, weight_update_time: 0.7420083284, other_time: 6.7930297852
epoch time: 44.6586723328s, input_fired_time: 0.6472674608, output_fired_time: 0.0000000000, propagate_forward_time: 42.9046134949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1067924500
validation[          , genome  6381] predictions:    5825/  10000 (58.25%), best:    5926/10000 (59.26%), error:     12889.75586, best error:     12408.87988 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 750.8992309570s, input_fired_time: 6.1393566132, output_fired_time: 4.1298642159, propagate_forward_time: 215.1399993896, propagate_backward_time: 518.7384643555, weight_update_time: 0.7429715395, other_time: 6.7515258789
epoch time: 44.8412132263s, input_fired_time: 0.6541162133, output_fired_time: 0.0000000000, propagate_forward_time: 43.0845298767, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1025657654
validation[          , genome  6381] predictions:    5836/  10000 (58.36%), best:    5926/10000 (59.26%), error:     12468.11816, best error:     12408.87988 on epoch:    33, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 750.9182739258s, input_fired_time: 6.1428074837, output_fired_time: 4.1313109398, propagate_forward_time: 215.1279144287, propagate_backward_time: 518.7285766602, weight_update_time: 0.7403669953, other_time: 6.7876586914
epoch time: 44.7050437927s, input_fired_time: 0.6428605914, output_fired_time: 0.0000000000, propagate_forward_time: 42.9547843933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1073989868
validation[          , genome  6381] predictions:    5690/  10000 (56.90%), best:    5926/10000 (59.26%), error:     12863.21484, best error:     12408.87988 on epoch:    33, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 750.9224243164s, input_fired_time: 6.1496787071, output_fired_time: 4.1311879158, propagate_forward_time: 215.1949462891, propagate_backward_time: 518.4442749023, weight_update_time: 0.7415692806, other_time: 7.0023803711
epoch time: 44.8459663391s, input_fired_time: 0.6444542408, output_fired_time: 0.0000000000, propagate_forward_time: 43.0205116272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1809997559
validation[          , genome  6381] predictions:    5766/  10000 (57.66%), best:    5926/10000 (59.26%), error:     12973.41211, best error:     12408.87988 on epoch:    33, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 751.2716064453s, input_fired_time: 6.1542048454, output_fired_time: 4.1265721321, propagate_forward_time: 215.2815704346, propagate_backward_time: 518.5256958008, weight_update_time: 0.7425129414, other_time: 7.1835937500
epoch time: 44.7944908142s, input_fired_time: 0.6542732716, output_fired_time: 0.0000000000, propagate_forward_time: 42.9543190002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1858978271
validation[          , genome  6381] predictions:    5779/  10000 (57.79%), best:    5926/10000 (59.26%), error:     12821.36328, best error:     12408.87988 on epoch:    33, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 750.7849731445s, input_fired_time: 6.1710243225, output_fired_time: 4.1192507744, propagate_forward_time: 215.0878601074, propagate_backward_time: 518.3039550781, weight_update_time: 0.7417187095, other_time: 7.1029052734
epoch time: 44.8893623352s, input_fired_time: 0.6572393179, output_fired_time: 0.0000000000, propagate_forward_time: 43.0535545349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1785697937
validation[          , genome  6381] predictions:    5791/  10000 (57.91%), best:    5926/10000 (59.26%), error:     12811.90039, best error:     12408.87988 on epoch:    33, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 750.9997558594s, input_fired_time: 6.1716451645, output_fired_time: 4.1259775162, propagate_forward_time: 215.1745758057, propagate_backward_time: 518.5100708008, weight_update_time: 0.7429586649, other_time: 7.0175170898
epoch time: 44.6807518005s, input_fired_time: 0.6572744846, output_fired_time: 0.0000000000, propagate_forward_time: 42.9138870239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1095886230
validation[          , genome  6381] predictions:    5816/  10000 (58.16%), best:    5926/10000 (59.26%), error:     12731.18066, best error:     12408.87988 on epoch:    33, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 750.2411499023s, input_fired_time: 6.1652126312, output_fired_time: 4.1270651817, propagate_forward_time: 215.0917053223, propagate_backward_time: 518.0584106445, weight_update_time: 0.7425709963, other_time: 6.7987670898
epoch time: 44.6338806152s, input_fired_time: 0.6472126245, output_fired_time: 0.0000000000, propagate_forward_time: 42.8719062805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1147613525
validation[          , genome  6381] predictions:    5878/  10000 (58.78%), best:    5926/10000 (59.26%), error:     12546.29395, best error:     12408.87988 on epoch:    33, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 750.3559570313s, input_fired_time: 6.1737356186, output_fired_time: 4.1255393028, propagate_forward_time: 215.1588287354, propagate_backward_time: 518.1724853516, weight_update_time: 0.7413860559, other_time: 6.7254028320
epoch time: 44.6758537292s, input_fired_time: 0.6474018097, output_fired_time: 0.0000000000, propagate_forward_time: 42.9212112427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1072387695
validation[          , genome  6381] predictions:    5834/  10000 (58.34%), best:    5926/10000 (59.26%), error:     12618.96875, best error:     12408.87988 on epoch:    33, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 750.8669433594s, input_fired_time: 6.1790146828, output_fired_time: 4.1376028061, propagate_forward_time: 215.1089935303, propagate_backward_time: 518.6763916016, weight_update_time: 0.7428410053, other_time: 6.7649536133
epoch time: 44.7690200806s, input_fired_time: 0.6527024508, output_fired_time: 0.0000000000, propagate_forward_time: 43.0060920715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1102256775
validation[          , genome  6381] predictions:    5833/  10000 (58.33%), best:    5926/10000 (59.26%), error:     12585.70996, best error:     12408.87988 on epoch:    33, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 751.4598999023s, input_fired_time: 6.1968374252, output_fired_time: 4.1311898232, propagate_forward_time: 215.3622283936, propagate_backward_time: 519.0379028320, weight_update_time: 0.7441624999, other_time: 6.7317504883
epoch time: 44.8387260437s, input_fired_time: 0.6664142013, output_fired_time: 0.0000000000, propagate_forward_time: 43.0633544922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1089591980
validation[          , genome  6381] predictions:    5898/  10000 (58.98%), best:    5926/10000 (59.26%), error:     12531.51465, best error:     12408.87988 on epoch:    33, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 750.2256469727s, input_fired_time: 6.1851196289, output_fired_time: 4.1373419762, propagate_forward_time: 215.1068572998, propagate_backward_time: 518.0701904297, weight_update_time: 0.7404860258, other_time: 6.7261352539
epoch time: 44.6788482666s, input_fired_time: 0.6553970575, output_fired_time: 0.0000000000, propagate_forward_time: 42.9143600464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1090927124
validation[          , genome  6381] predictions:    5993/  10000 (59.93%), best:    5993/10000 (59.93%), error:     11959.45117, best error:     11959.45117 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 751.0961914063s, input_fired_time: 6.2010641098, output_fired_time: 4.1257963181, propagate_forward_time: 215.2678070068, propagate_backward_time: 518.7818603516, weight_update_time: 0.7419616580, other_time: 6.7196655273
epoch time: 44.8232460022s, input_fired_time: 0.6621834636, output_fired_time: 0.0000000000, propagate_forward_time: 43.0513801575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1096839905
validation[          , genome  6381] predictions:    5975/  10000 (59.75%), best:    5993/10000 (59.93%), error:     11983.18359, best error:     11959.45117 on epoch:    46, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 743.0183715820s, input_fired_time: 6.1414828300, output_fired_time: 4.0881733894, propagate_forward_time: 212.9329833984, propagate_backward_time: 513.2604370117, weight_update_time: 0.7354490757, other_time: 6.5952758789
epoch time: 44.2110557556s, input_fired_time: 0.6477580070, output_fired_time: 0.0000000000, propagate_forward_time: 42.4715080261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0917892456
validation[          , genome  6381] predictions:    5760/  10000 (57.60%), best:    5993/10000 (59.93%), error:     12953.74316, best error:     11959.45117 on epoch:    46, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 741.7845458984s, input_fired_time: 6.1285505295, output_fired_time: 4.0760855675, propagate_forward_time: 212.5908660889, propagate_backward_time: 512.3707885742, weight_update_time: 0.7322098613, other_time: 6.6182250977
epoch time: 44.1884956360s, input_fired_time: 0.6549329758, output_fired_time: 0.0000000000, propagate_forward_time: 42.4552116394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0783500671
validation[          , genome  6381] predictions:    5806/  10000 (58.06%), best:    5993/10000 (59.93%), error:     12888.15820, best error:     11959.45117 on epoch:    46, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 743.0581665039s, input_fired_time: 6.1522264481, output_fired_time: 4.0840954781, propagate_forward_time: 212.9166107178, propagate_backward_time: 513.3136596680, weight_update_time: 0.7342532873, other_time: 6.5915527344
epoch time: 44.2040786743s, input_fired_time: 0.6490486860, output_fired_time: 0.0000000000, propagate_forward_time: 42.4717979431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0832328796
validation[          , genome  6381] predictions:    5930/  10000 (59.30%), best:    5993/10000 (59.93%), error:     12640.30859, best error:     11959.45117 on epoch:    46, 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: 220.6668090820s, input_fired_time: 3.2435002327, output_fired_time: 0.0000000000, propagate_forward_time: 212.1987915039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2245178223
best training[          , genome  6381] predictions:   35875/  50000 (71.75%), best:    5993/10000 (59.93%), error:     40410.37109, best error:     11959.45117 on epoch:    46, 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: 45.6411705017s, input_fired_time: 0.6477854848, output_fired_time: 0.0000000000, propagate_forward_time: 42.4942512512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4991340637
   testing[          , genome  6381] predictions:    5993/  10000 (59.93%), best:    5993/10000 (59.93%), error:     11959.45117, best error:     11959.45117 on epoch:    46, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
00:25:46 (11272): called boinc_finish(0)

</stderr_txt>
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