Nameexact_genome_1542727803_168_6412_1
Workunit4101234
Created20 Nov 2018, 19:20:03 UTC
Sent20 Nov 2018, 19:20:23 UTC
Report deadline17 Dec 2018, 5:06:39 UTC
Received23 Nov 2018, 22:42:45 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time9 hours 58 min 36 sec
CPU time9 hours 54 min 2 sec
Validate stateValid
Credit6,601.78
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.09 MB
Peak swap size522.25 MB
Peak disk usage11.61 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412_1_r1731169031_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412.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: 6412
read normal distribution: '0 0.631144464015961 0.259143561124802'
generator_str: '133160178'
read generator: 133160178
read generated_by_map:
1 crossover 1
reading 95 nodes.
reading 409 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 345151472
post shuffle 1: 853332894
epoch time: 1259.47436523438s, input_fired_time: 10.313286781311, output_fired_time: 9.52769374847412, propagate_forward_time: 475.099700927734, propagate_backward_time: 752.429992675781, weight_update_time: 1.14299201965332, other_time: 12.1036987304688
epoch time: 97.8186492919922s, input_fired_time: 1.30862426757813, output_fired_time: 0, propagate_forward_time: 94.3787078857422, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.13131713867188
validation[          , genome  6412] predictions:    5275/  10000 (52.75%), best:    5275/10000 (52.75%), error:     16061.63477, best error:     16061.63477 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1253.2817382813s, input_fired_time: 10.2412090302, output_fired_time: 9.4719552994, propagate_forward_time: 472.4403076172, propagate_backward_time: 749.0192871094, weight_update_time: 1.1349242926, other_time: 12.1090087891
epoch time: 97.7929077148s, input_fired_time: 1.2680931091, output_fired_time: 0.0000000000, propagate_forward_time: 94.3861389160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1386718750
validation[          , genome  6412] predictions:    5086/  10000 (50.86%), best:    5275/10000 (52.75%), error:     17432.82031, best error:     16061.63477 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1254.6999511719s, input_fired_time: 10.2041749954, output_fired_time: 9.4756622314, propagate_forward_time: 472.7313537598, propagate_backward_time: 750.1615600586, weight_update_time: 1.1444882154, other_time: 12.1271362305
epoch time: 97.9079971313s, input_fired_time: 1.2415009737, output_fired_time: 0.0000000000, propagate_forward_time: 94.5515365601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1149597168
validation[          , genome  6412] predictions:    5231/  10000 (52.31%), best:    5231/10000 (52.31%), error:     15686.93066, best error:     15686.93066 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1253.5206298828s, input_fired_time: 10.1883420944, output_fired_time: 9.4764184952, propagate_forward_time: 472.3796691895, propagate_backward_time: 749.3302001953, weight_update_time: 1.1418799162, other_time: 12.1459960938
epoch time: 97.8358764648s, input_fired_time: 1.2786840200, output_fired_time: 0.0000000000, propagate_forward_time: 94.4160842896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1411056519
validation[          , genome  6412] predictions:    5165/  10000 (51.65%), best:    5231/10000 (52.31%), error:     15746.52051, best error:     15686.93066 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1263.9903564453s, input_fired_time: 10.2345485687, output_fired_time: 9.5601196289, propagate_forward_time: 476.6718139648, propagate_backward_time: 755.3776855469, weight_update_time: 1.1420731544, other_time: 12.1463012695
epoch time: 99.1177291870s, input_fired_time: 1.2948535681, output_fired_time: 0.0000000000, propagate_forward_time: 95.6875381470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1353378296
validation[          , genome  6412] predictions:    5246/  10000 (52.46%), best:    5246/10000 (52.46%), error:     15424.29102, best error:     15424.29102 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1255.6864013672s, input_fired_time: 10.1965074539, output_fired_time: 9.5467586517, propagate_forward_time: 472.2601318359, propagate_backward_time: 751.5692138672, weight_update_time: 1.1423233747, other_time: 12.1137695313
epoch time: 97.9352569580s, input_fired_time: 1.2797459364, output_fired_time: 0.0000000000, propagate_forward_time: 94.5399169922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1155929565
validation[          , genome  6412] predictions:    5480/  10000 (54.80%), best:    5480/10000 (54.80%), error:     14588.33105, best error:     14588.33105 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1256.2205810547s, input_fired_time: 10.2125434875, output_fired_time: 9.5180530548, propagate_forward_time: 473.2706298828, propagate_backward_time: 751.0687866211, weight_update_time: 1.1506665945, other_time: 12.1505737305
epoch time: 98.3151473999s, input_fired_time: 1.2845660448, output_fired_time: 0.0000000000, propagate_forward_time: 94.8940658569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1365127563
validation[          , genome  6412] predictions:    5323/  10000 (53.23%), best:    5480/10000 (54.80%), error:     14730.83008, best error:     14588.33105 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1259.3969726563s, input_fired_time: 10.2527065277, output_fired_time: 9.5310373306, propagate_forward_time: 474.8876647949, propagate_backward_time: 752.5265502930, weight_update_time: 1.1510220766, other_time: 12.1990356445
epoch time: 98.3967056274s, input_fired_time: 1.2920695543, output_fired_time: 0.0000000000, propagate_forward_time: 94.9680023193, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1366348267
validation[          , genome  6412] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13690.78809, best error:     13690.78809 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1258.9796142578s, input_fired_time: 10.2690649033, output_fired_time: 9.5479793549, propagate_forward_time: 474.5152282715, propagate_backward_time: 752.4561767578, weight_update_time: 1.1485177279, other_time: 12.1911621094
epoch time: 98.2128906250s, input_fired_time: 1.2740260363, output_fired_time: 0.0000000000, propagate_forward_time: 94.7902526855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1486129761
validation[          , genome  6412] predictions:    5246/  10000 (52.46%), best:    5623/10000 (56.23%), error:     15447.43555, best error:     13690.78809 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1258.0172119141s, input_fired_time: 10.2669706345, output_fired_time: 9.5756626129, propagate_forward_time: 473.5456237793, propagate_backward_time: 752.4762573242, weight_update_time: 1.1402255297, other_time: 12.1526489258
epoch time: 98.1801147461s, input_fired_time: 1.2857302427, output_fired_time: 0.0000000000, propagate_forward_time: 94.7557601929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1386260986
validation[          , genome  6412] predictions:    5420/  10000 (54.20%), best:    5623/10000 (56.23%), error:     14806.92090, best error:     13690.78809 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1258.6437988281s, input_fired_time: 10.2736520767, output_fired_time: 9.5224399567, propagate_forward_time: 474.4136657715, propagate_backward_time: 752.2234497070, weight_update_time: 1.1424301863, other_time: 12.2105102539
epoch time: 97.9858093262s, input_fired_time: 1.2845340967, output_fired_time: 0.0000000000, propagate_forward_time: 94.5553741455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1459045410
validation[          , genome  6412] predictions:    5373/  10000 (53.73%), best:    5623/10000 (56.23%), error:     15264.19922, best error:     13690.78809 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1257.7414550781s, input_fired_time: 10.2900066376, output_fired_time: 9.5446481705, propagate_forward_time: 473.6721801758, propagate_backward_time: 752.0038452148, weight_update_time: 1.1501231194, other_time: 12.2307128906
epoch time: 98.4465179443s, input_fired_time: 1.2905008793, output_fired_time: 0.0000000000, propagate_forward_time: 95.0216827393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1343307495
validation[          , genome  6412] predictions:    5482/  10000 (54.82%), best:    5623/10000 (56.23%), error:     14391.74902, best error:     13690.78809 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1259.1396484375s, input_fired_time: 10.3204793930, output_fired_time: 9.5534610748, propagate_forward_time: 474.2867126465, propagate_backward_time: 752.7716674805, weight_update_time: 1.1441395283, other_time: 12.2073364258
epoch time: 97.9623718262s, input_fired_time: 1.3024210930, output_fired_time: 0.0000000000, propagate_forward_time: 94.5154724121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1444778442
validation[          , genome  6412] predictions:    5611/  10000 (56.11%), best:    5623/10000 (56.23%), error:     13869.58105, best error:     13690.78809 on epoch:     7, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1258.2280273438s, input_fired_time: 10.3149223328, output_fired_time: 9.5455989838, propagate_forward_time: 473.3789367676, propagate_backward_time: 752.8514404297, weight_update_time: 1.1442134380, other_time: 12.1370849609
epoch time: 98.2198715210s, input_fired_time: 1.3071292639, output_fired_time: 0.0000000000, propagate_forward_time: 94.7736129761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1391296387
validation[          , genome  6412] predictions:    5726/  10000 (57.26%), best:    5726/10000 (57.26%), error:     13556.81152, best error:     13556.81152 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1257.4897460938s, input_fired_time: 10.3114900589, output_fired_time: 9.5490589142, propagate_forward_time: 473.0524291992, propagate_backward_time: 752.4000244141, weight_update_time: 1.1471185684, other_time: 12.1766967773
epoch time: 98.0177154541s, input_fired_time: 1.3001700640, output_fired_time: 0.0000000000, propagate_forward_time: 94.5895919800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1279525757
validation[          , genome  6412] predictions:    5539/  10000 (55.39%), best:    5726/10000 (57.26%), error:     14023.36230, best error:     13556.81152 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1263.5637207031s, input_fired_time: 10.3619756699, output_fired_time: 9.5586929321, propagate_forward_time: 475.8816833496, propagate_backward_time: 755.5681762695, weight_update_time: 1.1478382349, other_time: 12.1931762695
epoch time: 98.2300949097s, input_fired_time: 1.3010133505, output_fired_time: 0.0000000000, propagate_forward_time: 94.7990875244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1299972534
validation[          , genome  6412] predictions:    5628/  10000 (56.28%), best:    5726/10000 (57.26%), error:     13714.10840, best error:     13556.81152 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1262.6374511719s, input_fired_time: 10.4286956787, output_fired_time: 9.5816793442, propagate_forward_time: 475.8949279785, propagate_backward_time: 754.5195312500, weight_update_time: 1.1493909359, other_time: 12.2126464844
epoch time: 98.3648757935s, input_fired_time: 1.3008351326, output_fired_time: 0.0000000000, propagate_forward_time: 94.9237060547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1403350830
validation[          , genome  6412] predictions:    5574/  10000 (55.74%), best:    5726/10000 (57.26%), error:     14007.69531, best error:     13556.81152 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1260.9007568359s, input_fired_time: 10.3799514771, output_fired_time: 9.5577354431, propagate_forward_time: 474.7290344238, propagate_backward_time: 753.9930419922, weight_update_time: 1.1521581411, other_time: 12.2409667969
epoch time: 98.2333602905s, input_fired_time: 1.3049232960, output_fired_time: 0.0000000000, propagate_forward_time: 94.7651062012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1633300781
validation[          , genome  6412] predictions:    5912/  10000 (59.12%), best:    5912/10000 (59.12%), error:     12271.18457, best error:     12271.18457 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1261.7917480469s, input_fired_time: 10.3960456848, output_fired_time: 9.5719108582, propagate_forward_time: 475.2079467773, propagate_backward_time: 754.3844604492, weight_update_time: 1.1475220919, other_time: 12.2314453125
epoch time: 98.4331817627s, input_fired_time: 1.3156986237, output_fired_time: 0.0000000000, propagate_forward_time: 94.9693069458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1481781006
validation[          , genome  6412] predictions:    5855/  10000 (58.55%), best:    5912/10000 (59.12%), error:     12807.23633, best error:     12271.18457 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1261.7731933594s, input_fired_time: 10.4050292969, output_fired_time: 9.5839633942, propagate_forward_time: 475.0042724609, propagate_backward_time: 754.5522460938, weight_update_time: 1.1467173100, other_time: 12.2276611328
epoch time: 98.4372787476s, input_fired_time: 1.3092325926, output_fired_time: 0.0000000000, propagate_forward_time: 94.9819869995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1460571289
validation[          , genome  6412] predictions:    5668/  10000 (56.68%), best:    5912/10000 (59.12%), error:     13372.67871, best error:     12271.18457 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1261.3082275391s, input_fired_time: 10.4414081573, output_fired_time: 9.6018610001, propagate_forward_time: 475.0157470703, propagate_backward_time: 754.0173339844, weight_update_time: 1.1488940716, other_time: 12.2319335938
epoch time: 98.3051071167s, input_fired_time: 1.3159220219, output_fired_time: 0.0000000000, propagate_forward_time: 94.8586273193, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1305541992
validation[          , genome  6412] predictions:    5797/  10000 (57.97%), best:    5912/10000 (59.12%), error:     13254.13672, best error:     12271.18457 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1260.8958740234s, input_fired_time: 10.4507722855, output_fired_time: 9.5611371994, propagate_forward_time: 475.0006103516, propagate_backward_time: 753.6389770508, weight_update_time: 1.1445221901, other_time: 12.2443237305
epoch time: 98.4129486084s, input_fired_time: 1.3354597092, output_fired_time: 0.0000000000, propagate_forward_time: 94.9474334717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1300582886
validation[          , genome  6412] predictions:    5461/  10000 (54.61%), best:    5912/10000 (59.12%), error:     14572.65137, best error:     12271.18457 on epoch:    17, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1261.3160400391s, input_fired_time: 10.4634637833, output_fired_time: 9.6100168228, propagate_forward_time: 475.2519226074, propagate_backward_time: 753.7750244141, weight_update_time: 1.1481344700, other_time: 12.2155761719
epoch time: 98.4080352783s, input_fired_time: 1.3271940947, output_fired_time: 0.0000000000, propagate_forward_time: 94.9129943848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1678466797
validation[          , genome  6412] predictions:    5922/  10000 (59.22%), best:    5912/10000 (59.12%), error:     12767.64551, best error:     12271.18457 on epoch:    17, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1262.5891113281s, input_fired_time: 10.4797439575, output_fired_time: 9.5941333771, propagate_forward_time: 475.2385864258, propagate_backward_time: 755.0513305664, weight_update_time: 1.1495459080, other_time: 12.2253417969
epoch time: 98.6539764404s, input_fired_time: 1.3326964378, output_fired_time: 0.0000000000, propagate_forward_time: 95.1576004028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1636810303
validation[          , genome  6412] predictions:    5832/  10000 (58.32%), best:    5912/10000 (59.12%), error:     12836.98535, best error:     12271.18457 on epoch:    17, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1264.0606689453s, input_fired_time: 10.5171852112, output_fired_time: 9.6023063660, propagate_forward_time: 475.9784240723, propagate_backward_time: 755.7191162109, weight_update_time: 1.1475921869, other_time: 12.2436523438
epoch time: 98.6335754395s, input_fired_time: 1.3468651772, output_fired_time: 0.0000000000, propagate_forward_time: 95.1308975220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1558151245
validation[          , genome  6412] predictions:    5807/  10000 (58.07%), best:    5912/10000 (59.12%), error:     13090.08789, best error:     12271.18457 on epoch:    17, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1263.4316406250s, input_fired_time: 10.5193738937, output_fired_time: 9.6234102249, propagate_forward_time: 475.9096679688, propagate_backward_time: 755.1311645508, weight_update_time: 1.1447706223, other_time: 12.2479858398
epoch time: 98.3583145142s, input_fired_time: 1.3379490376, output_fired_time: 0.0000000000, propagate_forward_time: 94.8735733032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1467895508
validation[          , genome  6412] predictions:    6010/  10000 (60.10%), best:    5912/10000 (59.12%), error:     12381.84863, best error:     12271.18457 on epoch:    17, 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: 493.1491699219s, input_fired_time: 6.5680437088, output_fired_time: 0.0000000000, propagate_forward_time: 475.7942199707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7868957520
best training[          , genome  6412] predictions:   33149/  50000 (66.30%), best:    5912/10000 (59.12%), error:     49674.44141, best error:     12271.18457 on epoch:    17, 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: 98.2555999756s, input_fired_time: 1.3126411438, output_fired_time: 0.0000000000, propagate_forward_time: 94.7959899902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1469726563
   testing[          , genome  6412] predictions:    5912/  10000 (59.12%), best:    5912/10000 (59.12%), error:     12271.18457, best error:     12271.18457 on epoch:    17, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
07:41:52 (11656): called boinc_finish(0)

</stderr_txt>
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