Nameexact_genome_1542495604_169_6189_1
Workunit4095957
Created18 Nov 2018, 3:04:01 UTC
Sent18 Nov 2018, 3:17:03 UTC
Report deadline12 Dec 2018, 18:12:28 UTC
Received19 Nov 2018, 13:15:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time11 hours 4 min 35 sec
CPU time11 hours 0 min 58 sec
Validate stateValid
Credit6,155.46
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.80 MB
Peak swap size516.22 MB
Peak disk usage11.39 MB

Stderr output

<core_client_version>7.12.1</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_1542495604_169_6189.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_169_6189_1_r194846564_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_169_6189.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: 6189
read normal distribution: '1 0 0'
generator_str: '1720819928'
read generator: 1720819928
read generated_by_map:
1 disable_edge 1
reading 96 nodes.
reading 368 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: 1658255747
post shuffle 1: 291977231
epoch time: 1406.52111816406s, input_fired_time: 9.15298938751221, output_fired_time: 8.87443542480469, propagate_forward_time: 538.623779296875, propagate_backward_time: 837.562683105469, weight_update_time: 1.35029733181, other_time: 12.3073120117188
epoch time: 110.479515075684s, input_fired_time: 1.11980319023132, output_fired_time: 0, propagate_forward_time: 107.267143249512, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.09256744384766
validation[          , genome  6189] predictions:    4984/  10000 (49.84%), best:    4984/10000 (49.84%), error:     17514.15234, best error:     17514.15234 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1401.7891845703s, input_fired_time: 9.0901174545, output_fired_time: 8.8353281021, propagate_forward_time: 535.8351440430, propagate_backward_time: 835.7330322266, weight_update_time: 1.3475831747, other_time: 12.2955932617
epoch time: 109.2538757324s, input_fired_time: 1.1257574558, output_fired_time: 0.0000000000, propagate_forward_time: 106.0190887451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1090316772
validation[          , genome  6189] predictions:    5039/  10000 (50.39%), best:    5039/10000 (50.39%), error:     16572.88867, best error:     16572.88867 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1396.6767578125s, input_fired_time: 9.0285034180, output_fired_time: 8.7882051468, propagate_forward_time: 532.8116455078, propagate_backward_time: 833.6829833984, weight_update_time: 1.3389139175, other_time: 12.3653564453
epoch time: 109.8465728760s, input_fired_time: 1.1106314659, output_fired_time: 0.0000000000, propagate_forward_time: 106.6261901855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1097488403
validation[          , genome  6189] predictions:    4923/  10000 (49.23%), best:    5039/10000 (50.39%), error:     17253.22070, best error:     16572.88867 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1396.0935058594s, input_fired_time: 9.0224409103, output_fired_time: 8.8373498917, propagate_forward_time: 532.9805297852, propagate_backward_time: 832.8772583008, weight_update_time: 1.3399897814, other_time: 12.3758544922
epoch time: 109.9917526245s, input_fired_time: 1.1009808779, output_fired_time: 0.0000000000, propagate_forward_time: 106.7728576660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1179122925
validation[          , genome  6189] predictions:    5228/  10000 (52.28%), best:    5228/10000 (52.28%), error:     15171.93262, best error:     15171.93262 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1394.6462402344s, input_fired_time: 9.0011587143, output_fired_time: 8.8028278351, propagate_forward_time: 532.2671508789, propagate_backward_time: 832.1867675781, weight_update_time: 1.3503465652, other_time: 12.3883666992
epoch time: 109.8430175781s, input_fired_time: 1.1067134142, output_fired_time: 0.0000000000, propagate_forward_time: 106.6366348267, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0996704102
validation[          , genome  6189] predictions:    4961/  10000 (49.61%), best:    5228/10000 (52.28%), error:     15890.78223, best error:     15171.93262 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1398.7464599609s, input_fired_time: 9.0235748291, output_fired_time: 8.8069095612, propagate_forward_time: 533.9763183594, propagate_backward_time: 834.6564941406, weight_update_time: 1.3384009600, other_time: 12.2832031250
epoch time: 110.3195190430s, input_fired_time: 1.0946216583, output_fired_time: 0.0000000000, propagate_forward_time: 107.1229400635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1019592285
validation[          , genome  6189] predictions:    4824/  10000 (48.24%), best:    5228/10000 (52.28%), error:     16030.42383, best error:     15171.93262 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1398.5638427734s, input_fired_time: 9.0130825043, output_fired_time: 8.7724008560, propagate_forward_time: 533.9293823242, propagate_backward_time: 834.5245361328, weight_update_time: 1.3481011391, other_time: 12.3244018555
epoch time: 109.9346084595s, input_fired_time: 1.1146559715, output_fired_time: 0.0000000000, propagate_forward_time: 106.6987991333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1211547852
validation[          , genome  6189] predictions:    5094/  10000 (50.94%), best:    5228/10000 (52.28%), error:     15293.83301, best error:     15171.93262 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1396.7559814453s, input_fired_time: 8.9993953705, output_fired_time: 8.7945547104, propagate_forward_time: 533.7241821289, propagate_backward_time: 832.8470458984, weight_update_time: 1.3400518894, other_time: 12.3908081055
epoch time: 109.6626510620s, input_fired_time: 1.1025408506, output_fired_time: 0.0000000000, propagate_forward_time: 106.4481735229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1119384766
validation[          , genome  6189] predictions:    5232/  10000 (52.32%), best:    5232/10000 (52.32%), error:     14686.75488, best error:     14686.75488 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1395.3912353516s, input_fired_time: 8.9925060272, output_fired_time: 8.8335247040, propagate_forward_time: 532.9610595703, propagate_backward_time: 832.2040405273, weight_update_time: 1.3394168615, other_time: 12.4000854492
epoch time: 110.2173385620s, input_fired_time: 1.1048066616, output_fired_time: 0.0000000000, propagate_forward_time: 106.9846038818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1279296875
validation[          , genome  6189] predictions:    5421/  10000 (54.21%), best:    5421/10000 (54.21%), error:     14387.58496, best error:     14387.58496 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1398.3051757813s, input_fired_time: 9.0080270767, output_fired_time: 8.8147315979, propagate_forward_time: 534.6372070313, propagate_backward_time: 833.4451904297, weight_update_time: 1.3452733755, other_time: 12.4000244141
epoch time: 110.2583923340s, input_fired_time: 1.1115425825, output_fired_time: 0.0000000000, propagate_forward_time: 107.0365982056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1102523804
validation[          , genome  6189] predictions:    5443/  10000 (54.43%), best:    5443/10000 (54.43%), error:     13841.83984, best error:     13841.83984 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1401.9056396484s, input_fired_time: 9.0836620331, output_fired_time: 8.8618869781, propagate_forward_time: 535.9610595703, propagate_backward_time: 835.7024536133, weight_update_time: 1.3467124701, other_time: 12.2965698242
epoch time: 110.3028869629s, input_fired_time: 1.1116952896, output_fired_time: 0.0000000000, propagate_forward_time: 107.0986862183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0925064087
validation[          , genome  6189] predictions:    5361/  10000 (53.61%), best:    5443/10000 (54.43%), error:     14419.11230, best error:     13841.83984 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1401.4641113281s, input_fired_time: 9.0387639999, output_fired_time: 8.9627466202, propagate_forward_time: 536.1830444336, propagate_backward_time: 835.0219116211, weight_update_time: 1.3434284925, other_time: 12.2575683594
epoch time: 110.2372741699s, input_fired_time: 1.0813915730, output_fired_time: 0.0000000000, propagate_forward_time: 107.0383453369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1175384521
validation[          , genome  6189] predictions:    5010/  10000 (50.10%), best:    5443/10000 (54.43%), error:     16043.34375, best error:     13841.83984 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1399.3425292969s, input_fired_time: 9.0199184418, output_fired_time: 8.8292894363, propagate_forward_time: 535.2644042969, propagate_backward_time: 833.8500976563, weight_update_time: 1.3438951969, other_time: 12.3787841797
epoch time: 110.0135803223s, input_fired_time: 1.1100881100, output_fired_time: 0.0000000000, propagate_forward_time: 106.7916564941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1118392944
validation[          , genome  6189] predictions:    5357/  10000 (53.57%), best:    5443/10000 (54.43%), error:     14449.69727, best error:     13841.83984 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1398.3028564453s, input_fired_time: 9.0646018982, output_fired_time: 8.8554248810, propagate_forward_time: 534.6992187500, propagate_backward_time: 833.3381958008, weight_update_time: 1.3477318287, other_time: 12.3453979492
epoch time: 109.7628250122s, input_fired_time: 1.1301894188, output_fired_time: 0.0000000000, propagate_forward_time: 106.5226974487, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1099395752
validation[          , genome  6189] predictions:    5443/  10000 (54.43%), best:    5443/10000 (54.43%), error:     13933.04785, best error:     13841.83984 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1397.4204101563s, input_fired_time: 9.0828990936, output_fired_time: 8.8440341949, propagate_forward_time: 534.4758911133, propagate_backward_time: 832.6480102539, weight_update_time: 1.3507874012, other_time: 12.3696289063
epoch time: 109.7993087769s, input_fired_time: 1.1169062853, output_fired_time: 0.0000000000, propagate_forward_time: 106.5703277588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1120758057
validation[          , genome  6189] predictions:    5401/  10000 (54.01%), best:    5443/10000 (54.43%), error:     14439.45215, best error:     13841.83984 on epoch:     9, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1394.9215087891s, input_fired_time: 9.0756874084, output_fired_time: 8.8379850388, propagate_forward_time: 533.2517089844, propagate_backward_time: 831.3336791992, weight_update_time: 1.3480935097, other_time: 12.4224243164
epoch time: 109.9188995361s, input_fired_time: 1.1288695335, output_fired_time: 0.0000000000, propagate_forward_time: 106.6761779785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1138534546
validation[          , genome  6189] predictions:    5420/  10000 (54.20%), best:    5443/10000 (54.43%), error:     14002.79004, best error:     13841.83984 on epoch:     9, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1392.5582275391s, input_fired_time: 9.0923109055, output_fired_time: 8.8046445847, propagate_forward_time: 532.4598388672, propagate_backward_time: 829.7565307617, weight_update_time: 1.3504928350, other_time: 12.4448852539
epoch time: 109.5866699219s, input_fired_time: 1.1250040531, output_fired_time: 0.0000000000, propagate_forward_time: 106.3375778198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1240844727
validation[          , genome  6189] predictions:    5290/  10000 (52.90%), best:    5443/10000 (54.43%), error:     14695.14648, best error:     13841.83984 on epoch:     9, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1392.1962890625s, input_fired_time: 9.1046924591, output_fired_time: 8.8290510178, propagate_forward_time: 532.4053344727, propagate_backward_time: 829.4132690430, weight_update_time: 1.3472614288, other_time: 12.4438476563
epoch time: 109.5900955200s, input_fired_time: 1.1271613836, output_fired_time: 0.0000000000, propagate_forward_time: 106.3325271606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1304092407
validation[          , genome  6189] predictions:    5294/  10000 (52.94%), best:    5443/10000 (54.43%), error:     14595.57910, best error:     13841.83984 on epoch:     9, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1391.1539306641s, input_fired_time: 9.0864276886, output_fired_time: 8.8068151474, propagate_forward_time: 531.8496093750, propagate_backward_time: 828.9774169922, weight_update_time: 1.3537366390, other_time: 12.4337158203
epoch time: 109.7035293579s, input_fired_time: 1.1233071089, output_fired_time: 0.0000000000, propagate_forward_time: 106.4625625610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1176605225
validation[          , genome  6189] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13455.39746, best error:     13455.39746 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1393.2438964844s, input_fired_time: 9.1100282669, output_fired_time: 8.8446540833, propagate_forward_time: 532.7540283203, propagate_backward_time: 830.1130371094, weight_update_time: 1.3405504227, other_time: 12.4222412109
epoch time: 110.0280761719s, input_fired_time: 1.1307514906, output_fired_time: 0.0000000000, propagate_forward_time: 106.7989349365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0983886719
validation[          , genome  6189] predictions:    5616/  10000 (56.16%), best:    5616/10000 (56.16%), error:     13255.78223, best error:     13255.78223 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1400.1834716797s, input_fired_time: 9.1567935944, output_fired_time: 8.8521280289, propagate_forward_time: 535.1810302734, propagate_backward_time: 834.6053466797, weight_update_time: 1.3461142778, other_time: 12.3881835938
epoch time: 110.1355743408s, input_fired_time: 1.1255235672, output_fired_time: 0.0000000000, propagate_forward_time: 106.8917999268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1182479858
validation[          , genome  6189] predictions:    5396/  10000 (53.96%), best:    5616/10000 (56.16%), error:     14259.09668, best error:     13255.78223 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1398.7497558594s, input_fired_time: 9.1391315460, output_fired_time: 8.8080511093, propagate_forward_time: 534.6952514648, propagate_backward_time: 833.8230590820, weight_update_time: 1.3487945795, other_time: 12.2841796875
epoch time: 110.2806091309s, input_fired_time: 1.1398783922, output_fired_time: 0.0000000000, propagate_forward_time: 107.0575256348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0832061768
validation[          , genome  6189] predictions:    5597/  10000 (55.97%), best:    5597/10000 (55.97%), error:     13212.98047, best error:     13212.98047 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1399.1732177734s, input_fired_time: 9.1715116501, output_fired_time: 8.8668756485, propagate_forward_time: 535.1633300781, propagate_backward_time: 833.6618652344, weight_update_time: 1.3444049358, other_time: 12.3096923828
epoch time: 109.9691848755s, input_fired_time: 1.1447849274, output_fired_time: 0.0000000000, propagate_forward_time: 106.7196578979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1047439575
validation[          , genome  6189] predictions:    5353/  10000 (53.53%), best:    5597/10000 (55.97%), error:     14698.32520, best error:     13212.98047 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1397.6956787109s, input_fired_time: 9.1695461273, output_fired_time: 8.8725290298, propagate_forward_time: 534.7580566406, propagate_backward_time: 832.5720214844, weight_update_time: 1.3522119522, other_time: 12.3234863281
epoch time: 110.0489273071s, input_fired_time: 1.1445436478, output_fired_time: 0.0000000000, propagate_forward_time: 106.8111495972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0932312012
validation[          , genome  6189] predictions:    5412/  10000 (54.12%), best:    5597/10000 (55.97%), error:     14065.14551, best error:     13212.98047 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1395.2158203125s, input_fired_time: 9.1874265671, output_fired_time: 8.8275585175, propagate_forward_time: 534.0307617188, propagate_backward_time: 830.8594970703, weight_update_time: 1.3462815285, other_time: 12.3106689453
epoch time: 109.8609008789s, input_fired_time: 1.1330671310, output_fired_time: 0.0000000000, propagate_forward_time: 106.6272201538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1006164551
validation[          , genome  6189] predictions:    5383/  10000 (53.83%), best:    5597/10000 (55.97%), error:     14227.96973, best error:     13212.98047 on epoch:    21, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1397.2753906250s, input_fired_time: 9.1830863953, output_fired_time: 8.8545761108, propagate_forward_time: 534.1488647461, propagate_backward_time: 832.7351074219, weight_update_time: 1.3599032164, other_time: 12.3536987305
epoch time: 110.2411041260s, input_fired_time: 1.1489118338, output_fired_time: 0.0000000000, propagate_forward_time: 106.9853897095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1068038940
validation[          , genome  6189] predictions:    5607/  10000 (56.07%), best:    5597/10000 (55.97%), error:     13839.69824, best error:     13212.98047 on epoch:    21, 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: 549.4008789063s, input_fired_time: 5.7080283165, output_fired_time: 0.0000000000, propagate_forward_time: 533.1370239258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5558471680
best training[          , genome  6189] predictions:   31644/  50000 (63.29%), best:    5597/10000 (55.97%), error:     53642.51172, best error:     13212.98047 on epoch:    21, 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: 109.9422683716s, input_fired_time: 1.1365513802, output_fired_time: 0.0000000000, propagate_forward_time: 106.6850204468, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1206970215
   testing[          , genome  6189] predictions:    5597/  10000 (55.97%), best:    5597/10000 (55.97%), error:     13212.98047, best error:     13212.98047 on epoch:    21, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
02:25:22 (21688): called boinc_finish(0)

</stderr_txt>
]]>