Nameexact_genome_1540746903_168_5336_2
Workunit4075410
Created20 Nov 2018, 17:53:06 UTC
Sent20 Nov 2018, 17:53:09 UTC
Report deadline13 Dec 2018, 13:30:17 UTC
Received23 Nov 2018, 0:19:33 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88573
Run time10 hours 56 min 42 sec
CPU time10 hours 56 min 40 sec
Validate stateValid
Credit5,704.37
Device peak FLOPS3.35 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size520.32 MB
Peak swap size519.33 MB
Peak disk usage10.55 MB

Stderr output

<core_client_version>7.6.22</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_1540746903_168_5336.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_168_5336_2_r690123896_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1540746903_168_5336.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: 5336
read normal distribution: '0 -0.587412893772125 -0.260577350854874'
generator_str: '1216443032'
read generator: 1216443032
read generated_by_map:
1 add_node 1
reading 84 nodes.
reading 359 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: 713719384
post shuffle 1: 331451102
epoch time: 1292.71667480469s, input_fired_time: 11.4919109344482, output_fired_time: 10.4305562973022, propagate_forward_time: 497.726531982422, propagate_backward_time: 757.413330078125, weight_update_time: 1.47859954833984, other_time: 15.654296875
epoch time: 75.3774642944336s, input_fired_time: 1.18440163135529, output_fired_time: 0, propagate_forward_time: 71.7203598022461, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.47270202636719
validation[          , genome  5336] predictions:    5127/  10000 (51.27%), best:    5127/10000 (51.27%), error:     16898.27148, best error:     16898.27148 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1476.4006347656s, input_fired_time: 12.6958208084, output_fired_time: 12.0018978119, propagate_forward_time: 572.6986694336, propagate_backward_time: 861.8466186523, weight_update_time: 1.6328088045, other_time: 17.1575927734
epoch time: 87.8581390381s, input_fired_time: 1.3651912212, output_fired_time: 0.0000000000, propagate_forward_time: 83.6626281738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8303222656
validation[          , genome  5336] predictions:    5104/  10000 (51.04%), best:    5104/10000 (51.04%), error:     16101.38184, best error:     16101.38184 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1257.0501708984s, input_fired_time: 11.1953382492, output_fired_time: 10.1199178696, propagate_forward_time: 483.1159362793, propagate_backward_time: 737.2752075195, weight_update_time: 1.4504469633, other_time: 15.3438110352
epoch time: 90.4309310913s, input_fired_time: 1.3016799688, output_fired_time: 0.0000000000, propagate_forward_time: 86.5236206055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6056289673
validation[          , genome  5336] predictions:    5298/  10000 (52.98%), best:    5298/10000 (52.98%), error:     14806.55273, best error:     14806.55273 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1373.1832275391s, input_fired_time: 12.0171337128, output_fired_time: 11.1824398041, propagate_forward_time: 531.0911254883, propagate_backward_time: 802.5125732422, weight_update_time: 1.5471601486, other_time: 16.3799438477
epoch time: 76.0474395752s, input_fired_time: 1.2650042772, output_fired_time: 0.0000000000, propagate_forward_time: 72.0544738770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7279586792
validation[          , genome  5336] predictions:    5213/  10000 (52.13%), best:    5298/10000 (52.98%), error:     15197.67969, best error:     14806.55273 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1439.9079589844s, input_fired_time: 12.4956541061, output_fired_time: 11.7554035187, propagate_forward_time: 557.6646728516, propagate_backward_time: 840.9007568359, weight_update_time: 1.6076036692, other_time: 17.0915527344
epoch time: 81.2185516357s, input_fired_time: 1.2249716520, output_fired_time: 0.0000000000, propagate_forward_time: 77.4529876709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5405960083
validation[          , genome  5336] predictions:    5051/  10000 (50.51%), best:    5298/10000 (52.98%), error:     16061.88086, best error:     14806.55273 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1340.1417236328s, input_fired_time: 11.6087980270, output_fired_time: 10.8259754181, propagate_forward_time: 517.5488891602, propagate_backward_time: 784.4373168945, weight_update_time: 1.5079534054, other_time: 15.7208251953
epoch time: 142.4543304443s, input_fired_time: 1.7558231354, output_fired_time: 0.0000000000, propagate_forward_time: 137.6080017090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0904998779
validation[          , genome  5336] predictions:    5027/  10000 (50.27%), best:    5298/10000 (52.98%), error:     16418.03906, best error:     14806.55273 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1387.4953613281s, input_fired_time: 12.1959629059, output_fired_time: 11.3067455292, propagate_forward_time: 536.6581420898, propagate_backward_time: 810.5039062500, weight_update_time: 1.5694043636, other_time: 16.8306274414
epoch time: 93.5540313721s, input_fired_time: 1.4108461142, output_fired_time: 0.0000000000, propagate_forward_time: 89.2225189209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9206695557
validation[          , genome  5336] predictions:    5346/  10000 (53.46%), best:    5298/10000 (52.98%), error:     15525.39160, best error:     14806.55273 on epoch:     2, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1378.7135009766s, input_fired_time: 12.0990619659, output_fired_time: 11.1923408508, propagate_forward_time: 532.6598510742, propagate_backward_time: 806.1725463867, weight_update_time: 1.5548967123, other_time: 16.5895996094
epoch time: 132.1106262207s, input_fired_time: 1.6847530603, output_fired_time: 0.0000000000, propagate_forward_time: 127.4178543091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0080184937
validation[          , genome  5336] predictions:    5089/  10000 (50.89%), best:    5298/10000 (52.98%), error:     15886.00000, best error:     14806.55273 on epoch:     2, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1231.0047607422s, input_fired_time: 11.0720567703, output_fired_time: 9.9367656708, propagate_forward_time: 473.1232604980, propagate_backward_time: 721.6620483398, weight_update_time: 1.4321945906, other_time: 15.2106323242
epoch time: 127.7689056396s, input_fired_time: 1.6428973675, output_fired_time: 0.0000000000, propagate_forward_time: 123.1791381836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9468688965
validation[          , genome  5336] predictions:    5471/  10000 (54.71%), best:    5471/10000 (54.71%), error:     14123.80957, best error:     14123.80957 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1434.1242675781s, input_fired_time: 12.2654819489, output_fired_time: 11.6113376617, propagate_forward_time: 557.3222656250, propagate_backward_time: 836.3973999023, weight_update_time: 1.5917160511, other_time: 16.5277709961
epoch time: 76.1889572144s, input_fired_time: 1.2657561302, output_fired_time: 0.0000000000, propagate_forward_time: 72.1887817383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7344207764
validation[          , genome  5336] predictions:    5618/  10000 (56.18%), best:    5471/10000 (54.71%), error:     14437.29688, best error:     14123.80957 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1538.7224121094s, input_fired_time: 12.7545604706, output_fired_time: 12.4186029434, propagate_forward_time: 600.0857543945, propagate_backward_time: 896.5848999023, weight_update_time: 1.6546151638, other_time: 16.8786621094
epoch time: 102.8430328369s, input_fired_time: 1.4952995777, output_fired_time: 0.0000000000, propagate_forward_time: 98.3935012817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9542312622
validation[          , genome  5336] predictions:    5519/  10000 (55.19%), best:    5519/10000 (55.19%), error:     14117.73242, best error:     14117.73242 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1265.5968017578s, input_fired_time: 11.7684135437, output_fired_time: 10.4046039581, propagate_forward_time: 485.1880493164, propagate_backward_time: 741.6069946289, weight_update_time: 1.4946764708, other_time: 16.6286621094
epoch time: 110.7889556885s, input_fired_time: 1.5550475121, output_fired_time: 0.0000000000, propagate_forward_time: 106.1960449219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0378646851
validation[          , genome  5336] predictions:    5619/  10000 (56.19%), best:    5619/10000 (56.19%), error:     13476.92871, best error:     13476.92871 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1374.3201904297s, input_fired_time: 11.9044656754, output_fired_time: 11.1333513260, propagate_forward_time: 530.9945068359, propagate_backward_time: 804.0834960938, weight_update_time: 1.5374106169, other_time: 16.2044677734
epoch time: 127.0248413086s, input_fired_time: 1.6956905127, output_fired_time: 0.0000000000, propagate_forward_time: 122.2139434814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1152038574
validation[          , genome  5336] predictions:    5587/  10000 (55.87%), best:    5619/10000 (56.19%), error:     13848.26563, best error:     13476.92871 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1615.7403564453s, input_fired_time: 13.1186895370, output_fired_time: 13.0570812225, propagate_forward_time: 632.0795898438, propagate_backward_time: 940.3298950195, weight_update_time: 1.6968569756, other_time: 17.1550903320
epoch time: 137.8244628906s, input_fired_time: 1.7326223850, output_fired_time: 0.0000000000, propagate_forward_time: 133.0375366211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0543060303
validation[          , genome  5336] predictions:    5628/  10000 (56.28%), best:    5619/10000 (56.19%), error:     13982.38965, best error:     13476.92871 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1158.6417236328s, input_fired_time: 10.7755689621, output_fired_time: 9.3912878036, propagate_forward_time: 441.4962463379, propagate_backward_time: 681.7734375000, weight_update_time: 1.3836344481, other_time: 15.2053222656
epoch time: 131.3125000000s, input_fired_time: 1.6893445253, output_fired_time: 0.0000000000, propagate_forward_time: 126.5939636230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0291900635
validation[          , genome  5336] predictions:    5439/  10000 (54.39%), best:    5619/10000 (56.19%), error:     14680.30078, best error:     13476.92871 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1350.3161621094s, input_fired_time: 11.7888250351, output_fired_time: 10.9399156570, propagate_forward_time: 521.6156616211, propagate_backward_time: 789.9321289063, weight_update_time: 1.5191026926, other_time: 16.0396118164
epoch time: 76.6755981445s, input_fired_time: 1.1993608475, output_fired_time: 0.0000000000, propagate_forward_time: 72.9359893799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5402450562
validation[          , genome  5336] predictions:    5543/  10000 (55.43%), best:    5619/10000 (56.19%), error:     13728.37793, best error:     13476.92871 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1104.7968750000s, input_fired_time: 10.5400657654, output_fired_time: 8.9602870941, propagate_forward_time: 419.6387329102, propagate_backward_time: 650.6836547852, weight_update_time: 1.3469575644, other_time: 14.9741210938
epoch time: 101.8038482666s, input_fired_time: 1.4236130714, output_fired_time: 0.0000000000, propagate_forward_time: 97.5852127075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7950210571
validation[          , genome  5336] predictions:    5441/  10000 (54.41%), best:    5619/10000 (56.19%), error:     14520.99707, best error:     13476.92871 on epoch:    11, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1504.8581542969s, input_fired_time: 12.8022813797, output_fired_time: 12.2307300568, propagate_forward_time: 584.8475341797, propagate_backward_time: 877.9073486328, weight_update_time: 1.6441270113, other_time: 17.0703125000
epoch time: 127.6342544556s, input_fired_time: 1.6564635038, output_fired_time: 0.0000000000, propagate_forward_time: 122.9956054688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9821853638
validation[          , genome  5336] predictions:    5142/  10000 (51.42%), best:    5619/10000 (56.19%), error:     16461.83203, best error:     13476.92871 on epoch:    11, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1370.9355468750s, input_fired_time: 11.9167089462, output_fired_time: 11.0971050262, propagate_forward_time: 529.7589721680, propagate_backward_time: 802.0894775391, weight_update_time: 1.5300780535, other_time: 16.0733032227
epoch time: 134.1630249023s, input_fired_time: 1.7117154598, output_fired_time: 0.0000000000, propagate_forward_time: 129.4279785156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0233306885
validation[          , genome  5336] predictions:    5596/  10000 (55.96%), best:    5619/10000 (56.19%), error:     14269.90918, best error:     13476.92871 on epoch:    11, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1438.6672363281s, input_fired_time: 12.2629566193, output_fired_time: 11.6197767258, propagate_forward_time: 558.1676635742, propagate_backward_time: 840.2806396484, weight_update_time: 1.5771796703, other_time: 16.3362426758
epoch time: 140.6695556641s, input_fired_time: 1.7808120251, output_fired_time: 0.0000000000, propagate_forward_time: 135.8084106445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0803375244
validation[          , genome  5336] predictions:    5577/  10000 (55.77%), best:    5619/10000 (56.19%), error:     13869.62598, best error:     13476.92871 on epoch:    11, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1312.3251953125s, input_fired_time: 11.6195802689, output_fired_time: 10.5933542252, propagate_forward_time: 505.2106018066, propagate_backward_time: 769.0693969727, weight_update_time: 1.4889645576, other_time: 15.8322143555
epoch time: 140.4449310303s, input_fired_time: 1.7671961784, output_fired_time: 0.0000000000, propagate_forward_time: 135.5906219482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0871124268
validation[          , genome  5336] predictions:    5448/  10000 (54.48%), best:    5619/10000 (56.19%), error:     14294.80371, best error:     13476.92871 on epoch:    11, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1518.4859619141s, input_fired_time: 12.7091903687, output_fired_time: 12.2623167038, propagate_forward_time: 591.3593750000, propagate_backward_time: 885.4719848633, weight_update_time: 1.6317065954, other_time: 16.6830444336
epoch time: 115.8223876953s, input_fired_time: 1.5684331656, output_fired_time: 0.0000000000, propagate_forward_time: 111.3972244263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8567276001
validation[          , genome  5336] predictions:    5674/  10000 (56.74%), best:    5619/10000 (56.19%), error:     13942.32813, best error:     13476.92871 on epoch:    11, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1338.6844482422s, input_fired_time: 11.7527561188, output_fired_time: 10.8149881363, propagate_forward_time: 516.9195556641, propagate_backward_time: 783.4751586914, weight_update_time: 1.5060857534, other_time: 15.7219848633
epoch time: 103.7020797729s, input_fired_time: 1.4601955414, output_fired_time: 0.0000000000, propagate_forward_time: 99.5112915039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7305908203
validation[          , genome  5336] predictions:    5909/  10000 (59.09%), best:    5909/10000 (59.09%), error:     12561.16992, best error:     12561.16992 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1458.6228027344s, input_fired_time: 12.3858766556, output_fired_time: 11.7839622498, propagate_forward_time: 566.4804687500, propagate_backward_time: 851.6940307617, weight_update_time: 1.5878094435, other_time: 16.2785034180
epoch time: 140.5274810791s, input_fired_time: 1.7798173428, output_fired_time: 0.0000000000, propagate_forward_time: 135.6749725342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0726928711
validation[          , genome  5336] predictions:    5735/  10000 (57.35%), best:    5909/10000 (59.09%), error:     13129.41113, best error:     12561.16992 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1437.7655029297s, input_fired_time: 12.2916364670, output_fired_time: 11.6019678116, propagate_forward_time: 558.0695190430, propagate_backward_time: 839.6371459961, weight_update_time: 1.5735346079, other_time: 16.1652832031
epoch time: 76.8749771118s, input_fired_time: 1.2205510139, output_fired_time: 0.0000000000, propagate_forward_time: 73.1597595215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4946670532
validation[          , genome  5336] predictions:    5623/  10000 (56.23%), best:    5909/10000 (59.09%), error:     13772.56543, best error:     12561.16992 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1585.4709472656s, input_fired_time: 13.5558376312, output_fired_time: 12.9437513351, propagate_forward_time: 618.1737670898, propagate_backward_time: 922.8613281250, weight_update_time: 1.7182295322, other_time: 17.9363403320
epoch time: 80.1708831787s, input_fired_time: 1.3063738346, output_fired_time: 0.0000000000, propagate_forward_time: 76.1253890991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7391204834
validation[          , genome  5336] predictions:    5848/  10000 (58.48%), best:    5909/10000 (59.09%), error:     13098.65234, best error:     12561.16992 on epoch:    22, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 493.0969543457s, input_fired_time: 7.0895910263, output_fired_time: 0.0000000000, propagate_forward_time: 472.4417724609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.5655822754
best training[          , genome  5336] predictions:   33167/  50000 (66.33%), best:    5909/10000 (59.09%), error:     49742.64844, best error:     12561.16992 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 76.6854171753s, input_fired_time: 1.2185552120, output_fired_time: 0.0000000000, propagate_forward_time: 72.9795608521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4873046875
   testing[          , genome  5336] predictions:    5909/  10000 (59.09%), best:    5909/10000 (59.09%), error:     12561.16992, best error:     12561.16992 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
18:17:10 (3396): called boinc_finish(0)

</stderr_txt>
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