Nameexact_genome_1499583608_35_11918_3
Workunit1313911
Created1 Oct 2017, 7:37:49 UTC
Sent1 Oct 2017, 7:39:51 UTC
Report deadline24 Dec 2017, 1:30:32 UTC
Received4 Oct 2017, 7:22:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID54172
Run time1 days 16 hours 29 min 40 sec
CPU time1 days 16 hours 18 min 48 sec
Validate stateInitial
Credit0.00
Device peak FLOPS3.31 GFLOPS
Application versionEXACT MNIST Batch Norm CNN Trainer v0.30
Peak working set size168.94 MB
Peak swap size169.90 MB
Peak disk usage3.65 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.30_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--generalizability_file'
	'generalizability_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/mnist_training_new.bin'
boincified generalizability filename: '../../projects/csgrid.org_csg/mnist_split_generalizability2.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_split_test2.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1499583608_35_11918.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1499583608_35_11918_3_r1849538145_0'
boincified checkpoint filename: 'checkpoint.txt'
parsed arguments, loading images
number_classes: 10
channels: 1
cols: 28
rows: 28
reading image set with 5923 images.
reading image set with 6742 images.
reading image set with 5958 images.
reading image set with 6131 images.
reading image set with 5842 images.
reading image set with 5421 images.
reading image set with 5918 images.
reading image set with 6265 images.
reading image set with 5851 images.
reading image set with 5949 images.
image_size: 1x28x28 = 784
read 60000 images.
    class    0: 5923
    class    1: 6742
    class    2: 5958
    class    3: 6131
    class    4: 5842
    class    5: 5421
    class    6: 5918
    class    7: 6265
    class    8: 5851
    class    9: 5949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.13066
pixel variance for channel 0: 0.0949303
pixel standard deviation for channel 0: 0.308108
number_classes: 10
channels: 1
cols: 28
rows: 28
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
reading image set with 500 images.
image_size: 1x28x28 = 784
read 5000 images.
    class    0: 500
    class    1: 500
    class    2: 500
    class    3: 500
    class    4: 500
    class    5: 500
    class    6: 500
    class    7: 500
    class    8: 500
    class    9: 500
number_classes: 10
channels: 1
cols: 28
rows: 28
reading image set with 480 images.
reading image set with 635 images.
reading image set with 532 images.
reading image set with 510 images.
reading image set with 482 images.
reading image set with 392 images.
reading image set with 458 images.
reading image set with 528 images.
reading image set with 474 images.
reading image set with 509 images.
image_size: 1x28x28 = 784
read 5000 images.
    class    0: 480
    class    1: 635
    class    2: 532
    class    3: 510
    class    4: 482
    class    5: 392
    class    6: 458
    class    7: 528
    class    8: 474
    class    9: 509
loaded images
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1499583608_35_11918.txt'
read CNN_Genome file with version string: 'v0.25'
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: 0.0025
read learning_rate: 0.0025
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: 100
read reset_weights: 0
read number_training_images: 60000
read best_predictions: 0
read best_error: 1e+07
read best_predictions_epoch: 0
read best_error_epoch: 0
read number_generalizability_images: 5000
read generalizability_predictions: 0
read generalizability_error: 1e+07
read number_test_images: 5000
read test_predictions: 0
read test_error: 1e+07
read generated_by_disable_edge: 0
read generated_by_enable_edge: 0
read generated_by_split_edge: 2
read generated_by_add_edge: 0
read generated_by_change_size: 0
read generated_by_change_size_x: 0
read generated_by_change_size_y: 0
read generated_by_crossover: 0
read generated_by_reset_weights: 0
read generated_by_add_node: 0
read generation_id: 11918
read normal distribution: '0 0.0713634639978409 -2.22714996337891'
generator_str: '1621560518'
read generator: 1621560518
reading 140 nodes.
reading 510 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 0
parsed input file
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 2000145596
post shuffle 1: 1187065279
[          , genome 11918] predictions:   59212/  60000 (98.69%), best:   59212/60000 (98.69%), error:      2549.28174, best error:      2549.28174 on epoch:     0, epoch:    0/100, mu: 0.5000000000, learning_rate: 0.0024999999, weight_decay: 0.0005000000
[          , genome 11918] predictions:   58637/  60000 (97.73%), best:   59212/60000 (98.69%), error:      4306.52344, best error:      2549.28174 on epoch:     0, epoch:    1/100, mu: 0.5245000124, learning_rate: 0.0023749999, weight_decay: 0.0004750000
[          , genome 11918] predictions:   58975/  60000 (98.29%), best:   59212/60000 (98.69%), error:      3420.97876, best error:      2549.28174 on epoch:     0, epoch:    2/100, mu: 0.5477750301, learning_rate: 0.0022562500, weight_decay: 0.0004512500
[          , genome 11918] predictions:   59095/  60000 (98.49%), best:   59212/60000 (98.69%), error:      3034.44751, best error:      2549.28174 on epoch:     0, epoch:    3/100, mu: 0.5698862672, learning_rate: 0.0021434375, weight_decay: 0.0004286875
[          , genome 11918] predictions:   59028/  60000 (98.38%), best:   59212/60000 (98.69%), error:      3234.90991, best error:      2549.28174 on epoch:     0, epoch:    4/100, mu: 0.5908919573, learning_rate: 0.0020362656, weight_decay: 0.0004072531
[          , genome 11918] predictions:   59241/  60000 (98.73%), best:   59241/60000 (98.74%), error:      2458.81567, best error:      2458.81567 on epoch:     5, epoch:    5/100, mu: 0.6108473539, learning_rate: 0.0019344522, weight_decay: 0.0003868904
[          , genome 11918] predictions:   59211/  60000 (98.69%), best:   59241/60000 (98.74%), error:      2694.73438, best error:      2458.81567 on epoch:     5, epoch:    6/100, mu: 0.6298049688, learning_rate: 0.0018377296, weight_decay: 0.0003675459
[          , genome 11918] predictions:   59269/  60000 (98.78%), best:   59241/60000 (98.74%), error:      2563.44067, best error:      2458.81567 on epoch:     5, epoch:    7/100, mu: 0.6478147507, learning_rate: 0.0017458431, weight_decay: 0.0003491686
[          , genome 11918] predictions:   58978/  60000 (98.30%), best:   59241/60000 (98.74%), error:      3184.42456, best error:      2458.81567 on epoch:     5, epoch:    8/100, mu: 0.6649240255, learning_rate: 0.0016585509, weight_decay: 0.0003317102
[          , genome 11918] predictions:   59161/  60000 (98.60%), best:   59241/60000 (98.74%), error:      2751.77197, best error:      2458.81567 on epoch:     5, epoch:    9/100, mu: 0.6811778545, learning_rate: 0.0015756234, weight_decay: 0.0003151247
[          , genome 11918] predictions:   59309/  60000 (98.85%), best:   59309/60000 (98.85%), error:      2252.53833, best error:      2252.53833 on epoch:    10, epoch:   10/100, mu: 0.6966189742, learning_rate: 0.0014968422, weight_decay: 0.0002993684
[          , genome 11918] predictions:   59088/  60000 (98.48%), best:   59309/60000 (98.85%), error:      3130.75195, best error:      2252.53833 on epoch:    10, epoch:   11/100, mu: 0.7112880349, learning_rate: 0.0014220001, weight_decay: 0.0002844000
[          , genome 11918] predictions:   59387/  60000 (98.98%), best:   59387/60000 (98.98%), error:      2072.05347, best error:      2072.05347 on epoch:    12, epoch:   12/100, mu: 0.7252236605, learning_rate: 0.0013509000, weight_decay: 0.0002701800
[          , genome 11918] predictions:   59336/  60000 (98.89%), best:   59387/60000 (98.98%), error:      2203.85205, best error:      2072.05347 on epoch:    12, epoch:   13/100, mu: 0.7384625077, learning_rate: 0.0012833551, weight_decay: 0.0002566710
[          , genome 11918] predictions:   59230/  60000 (98.72%), best:   59387/60000 (98.98%), error:      2607.30444, best error:      2072.05347 on epoch:    12, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0012191873, weight_decay: 0.0002438374
[          , genome 11918] predictions:   59447/  60000 (99.08%), best:   59447/60000 (99.08%), error:      1913.57007, best error:      1913.57007 on epoch:    15, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0011582279, weight_decay: 0.0002316456
[          , genome 11918] predictions:   59326/  60000 (98.88%), best:   59447/60000 (99.08%), error:      2306.92700, best error:      1913.57007 on epoch:    15, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0011003165, weight_decay: 0.0002200633
[          , genome 11918] predictions:   59481/  60000 (99.14%), best:   59481/60000 (99.14%), error:      1706.89856, best error:      1706.89856 on epoch:    17, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0010453007, weight_decay: 0.0002090601
[          , genome 11918] predictions:   59439/  60000 (99.06%), best:   59481/60000 (99.14%), error:      1860.28479, best error:      1706.89856 on epoch:    17, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0009930357, weight_decay: 0.0001986071
[          , genome 11918] predictions:   59504/  60000 (99.17%), best:   59481/60000 (99.14%), error:      1745.20776, best error:      1706.89856 on epoch:    17, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0009433840, weight_decay: 0.0001886768
[          , genome 11918] predictions:   59387/  60000 (98.98%), best:   59481/60000 (99.14%), error:      2053.06885, best error:      1706.89856 on epoch:    17, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0008962147, weight_decay: 0.0001792429
[          , genome 11918] predictions:   59544/  60000 (99.24%), best:   59544/60000 (99.24%), error:      1539.26526, best error:      1539.26526 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0008514040, weight_decay: 0.0001702808
[          , genome 11918] predictions:   59086/  60000 (98.48%), best:   59544/60000 (99.24%), error:      2780.46777, best error:      1539.26526 on epoch:    21, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0008088337, weight_decay: 0.0001617667
[          , genome 11918] predictions:   59556/  60000 (99.26%), best:   59544/60000 (99.24%), error:      1557.40662, best error:      1539.26526 on epoch:    21, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0007683921, weight_decay: 0.0001536784
[          , genome 11918] predictions:   59550/  60000 (99.25%), best:   59544/60000 (99.24%), error:      1598.39197, best error:      1539.26526 on epoch:    21, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0007299724, weight_decay: 0.0001459945
[          , genome 11918] predictions:   59623/  60000 (99.37%), best:   59623/60000 (99.37%), error:      1386.07251, best error:      1386.07251 on epoch:    25, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0006934738, weight_decay: 0.0001386948
[          , genome 11918] predictions:   59503/  60000 (99.17%), best:   59623/60000 (99.37%), error:      1736.00269, best error:      1386.07251 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0006588001, weight_decay: 0.0001317600
[          , genome 11918] predictions:   59295/  60000 (98.83%), best:   59623/60000 (99.37%), error:      2496.92188, best error:      1386.07251 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0006258601, weight_decay: 0.0001251720
[          , genome 11918] predictions:   59533/  60000 (99.22%), best:   59623/60000 (99.37%), error:      1609.70044, best error:      1386.07251 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0005945670, weight_decay: 0.0001189134
[          , genome 11918] predictions:   59627/  60000 (99.38%), best:   59623/60000 (99.37%), error:      1409.39941, best error:      1386.07251 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0005648387, weight_decay: 0.0001129677
[          , genome 11918] predictions:   59648/  60000 (99.41%), best:   59648/60000 (99.41%), error:      1315.85498, best error:      1315.85498 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0005365968, weight_decay: 0.0001073193
[          , genome 11918] predictions:   59727/  60000 (99.55%), best:   59727/60000 (99.54%), error:      1101.55139, best error:      1101.55139 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0005097669, weight_decay: 0.0001019534
[          , genome 11918] predictions:   59602/  60000 (99.34%), best:   59727/60000 (99.54%), error:      1417.54382, best error:      1101.55139 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0004842786, weight_decay: 0.0000968557
[          , genome 11918] predictions:   59676/  60000 (99.46%), best:   59727/60000 (99.54%), error:      1224.01208, best error:      1101.55139 on epoch:    31, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0004600646, weight_decay: 0.0000920129
[          , genome 11918] predictions:   59700/  60000 (99.50%), best:   59727/60000 (99.54%), error:      1185.58899, best error:      1101.55139 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0004370614, weight_decay: 0.0000874123
[          , genome 11918] predictions:   59772/  60000 (99.62%), best:   59772/60000 (99.62%), error:       998.95312, best error:       998.95312 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0004152083, weight_decay: 0.0000830417
[          , genome 11918] predictions:   59730/  60000 (99.55%), best:   59772/60000 (99.62%), error:      1128.84912, best error:       998.95312 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0003944479, weight_decay: 0.0000788896
[          , genome 11918] predictions:   59730/  60000 (99.55%), best:   59772/60000 (99.62%), error:      1105.43420, best error:       998.95312 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0003747255, weight_decay: 0.0000749451
[          , genome 11918] predictions:   59716/  60000 (99.53%), best:   59772/60000 (99.62%), error:      1098.98364, best error:       998.95312 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0003559892, weight_decay: 0.0000711978
[          , genome 11918] predictions:   59665/  60000 (99.44%), best:   59772/60000 (99.62%), error:      1257.41858, best error:       998.95312 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0003381897, weight_decay: 0.0000676379
[          , genome 11918] predictions:   59815/  60000 (99.69%), best:   59815/60000 (99.69%), error:       844.43311, best error:       844.43311 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0003212802, weight_decay: 0.0000642560
[          , genome 11918] predictions:   59714/  60000 (99.52%), best:   59815/60000 (99.69%), error:      1187.28210, best error:       844.43311 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0003052162, weight_decay: 0.0000610432
[          , genome 11918] predictions:   59878/  60000 (99.80%), best:   59878/60000 (99.80%), error:       697.95782, best error:       697.95782 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0002899554, weight_decay: 0.0000579911
[          , genome 11918] predictions:   59750/  60000 (99.58%), best:   59878/60000 (99.80%), error:      1052.04602, best error:       697.95782 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0002754576, weight_decay: 0.0000550915
[          , genome 11918] predictions:   59825/  60000 (99.71%), best:   59878/60000 (99.80%), error:       817.09540, best error:       697.95782 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0002616847, weight_decay: 0.0000523369
[          , genome 11918] predictions:   59825/  60000 (99.71%), best:   59878/60000 (99.80%), error:       899.82867, best error:       697.95782 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0002486005, weight_decay: 0.0000497201
[          , genome 11918] predictions:   59841/  60000 (99.73%), best:   59878/60000 (99.80%), error:       784.33630, best error:       697.95782 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0002361705, weight_decay: 0.0000472341
[          , genome 11918] predictions:   59871/  60000 (99.78%), best:   59871/60000 (99.79%), error:       672.17474, best error:       672.17474 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0002243619, weight_decay: 0.0000448724
[          , genome 11918] predictions:   59898/  60000 (99.83%), best:   59898/60000 (99.83%), error:       643.32861, best error:       643.32861 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0002131438, weight_decay: 0.0000426288
[          , genome 11918] predictions:   59914/  60000 (99.86%), best:   59914/60000 (99.86%), error:       615.95551, best error:       615.95551 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0002024866, weight_decay: 0.0000404973
[          , genome 11918] predictions:   59843/  60000 (99.74%), best:   59914/60000 (99.86%), error:       811.58923, best error:       615.95551 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0001923623, weight_decay: 0.0000384725
[          , genome 11918] predictions:   59903/  60000 (99.84%), best:   59914/60000 (99.86%), error:       640.11072, best error:       615.95551 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0001827442, weight_decay: 0.0000365488
[          , genome 11918] predictions:   59890/  60000 (99.82%), best:   59914/60000 (99.86%), error:       690.66833, best error:       615.95551 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0001736070, weight_decay: 0.0000347214
[          , genome 11918] predictions:   59907/  60000 (99.84%), best:   59907/60000 (99.85%), error:       607.56659, best error:       607.56659 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0001649266, weight_decay: 0.0000329853
[          , genome 11918] predictions:   59934/  60000 (99.89%), best:   59934/60000 (99.89%), error:       543.04144, best error:       543.04144 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0001566803, weight_decay: 0.0000313361
[          , genome 11918] predictions:   59929/  60000 (99.88%), best:   59934/60000 (99.89%), error:       554.54730, best error:       543.04144 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0001488463, weight_decay: 0.0000297693
[          , genome 11918] predictions:   59942/  60000 (99.90%), best:   59942/60000 (99.90%), error:       510.88956, best error:       510.88956 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0001414040, weight_decay: 0.0000282808
[          , genome 11918] predictions:   59801/  60000 (99.67%), best:   59942/60000 (99.90%), error:       983.61511, best error:       510.88956 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0001343338, weight_decay: 0.0000268668
[          , genome 11918] predictions:   59933/  60000 (99.89%), best:   59942/60000 (99.90%), error:       532.79230, best error:       510.88956 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0001276171, weight_decay: 0.0000255234
[          , genome 11918] predictions:   59919/  60000 (99.86%), best:   59942/60000 (99.90%), error:       584.61121, best error:       510.88956 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0001212362, weight_decay: 0.0000242472
[          , genome 11918] predictions:   59953/  60000 (99.92%), best:   59953/60000 (99.92%), error:       492.69153, best error:       492.69153 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0001151744, weight_decay: 0.0000230349
[          , genome 11918] predictions:   59937/  60000 (99.89%), best:   59953/60000 (99.92%), error:       522.15784, best error:       492.69153 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0001094157, weight_decay: 0.0000218831
[          , genome 11918] predictions:   59938/  60000 (99.90%), best:   59953/60000 (99.92%), error:       620.75262, best error:       492.69153 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0001039449, weight_decay: 0.0000207890
[          , genome 11918] predictions:   59947/  60000 (99.91%), best:   59947/60000 (99.91%), error:       492.37457, best error:       492.37457 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0000987477, weight_decay: 0.0000197495
[          , genome 11918] predictions:   59952/  60000 (99.92%), best:   59952/60000 (99.92%), error:       477.93567, best error:       477.93567 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0000938103, weight_decay: 0.0000187621
[          , genome 11918] predictions:   59966/  60000 (99.94%), best:   59966/60000 (99.94%), error:       424.55154, best error:       424.55154 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0000891198, weight_decay: 0.0000178240
[          , genome 11918] predictions:   59961/  60000 (99.94%), best:   59966/60000 (99.94%), error:       456.38708, best error:       424.55154 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0000846638, weight_decay: 0.0000169328
[          , genome 11918] predictions:   59951/  60000 (99.92%), best:   59966/60000 (99.94%), error:       471.93616, best error:       424.55154 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0000804306, weight_decay: 0.0000160861
[          , genome 11918] predictions:   59962/  60000 (99.94%), best:   59966/60000 (99.94%), error:       457.92477, best error:       424.55154 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0000764091, weight_decay: 0.0000152818
[          , genome 11918] predictions:   59965/  60000 (99.94%), best:   59965/60000 (99.94%), error:       424.20679, best error:       424.20679 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0000725886, weight_decay: 0.0000145177
[          , genome 11918] predictions:   59971/  60000 (99.95%), best:   59965/60000 (99.94%), error:       453.75403, best error:       424.20679 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0000689592, weight_decay: 0.0000137918
[          , genome 11918] predictions:   59968/  60000 (99.95%), best:   59968/60000 (99.95%), error:       420.95740, best error:       420.95740 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0000655112, weight_decay: 0.0000131022
[          , genome 11918] predictions:   59971/  60000 (99.95%), best:   59968/60000 (99.95%), error:       428.19006, best error:       420.95740 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0000622357, weight_decay: 0.0000124471
[          , genome 11918] predictions:   59971/  60000 (99.95%), best:   59968/60000 (99.95%), error:       470.64258, best error:       420.95740 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0000591239, weight_decay: 0.0000118248
[          , genome 11918] predictions:   59970/  60000 (99.95%), best:   59968/60000 (99.95%), error:       433.71140, best error:       420.95740 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0000561677, weight_decay: 0.0000112335
[          , genome 11918] predictions:   59972/  60000 (99.95%), best:   59972/60000 (99.95%), error:       408.45096, best error:       408.45096 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0000533593, weight_decay: 0.0000106719
[          , genome 11918] predictions:   59973/  60000 (99.95%), best:   59972/60000 (99.95%), error:       411.34470, best error:       408.45096 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0000506913, weight_decay: 0.0000101383
[          , genome 11918] predictions:   59972/  60000 (99.95%), best:   59972/60000 (99.95%), error:       407.38004, best error:       407.38004 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0000481568, weight_decay: 0.0000096314
[          , genome 11918] predictions:   59972/  60000 (99.95%), best:   59972/60000 (99.95%), error:       427.22568, best error:       407.38004 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0000457489, weight_decay: 0.0000091498
[          , genome 11918] predictions:   59975/  60000 (99.96%), best:   59975/60000 (99.96%), error:       406.10748, best error:       406.10748 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0000434615, weight_decay: 0.0000086923
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       398.92191, best error:       398.92191 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0000412884, weight_decay: 0.0000082577
[          , genome 11918] predictions:   59975/  60000 (99.96%), best:   59978/60000 (99.96%), error:       412.81265, best error:       398.92191 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0000392240, weight_decay: 0.0000078448
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       403.58054, best error:       398.92191 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0000372628, weight_decay: 0.0000074526
[          , genome 11918] predictions:   59976/  60000 (99.96%), best:   59976/60000 (99.96%), error:       395.61429, best error:       395.61429 on epoch:    83, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0000353996, weight_decay: 0.0000070799
[          , genome 11918] predictions:   59979/  60000 (99.97%), best:   59979/60000 (99.96%), error:       387.05142, best error:       387.05142 on epoch:    84, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0000336297, weight_decay: 0.0000067259
[          , genome 11918] predictions:   59973/  60000 (99.95%), best:   59979/60000 (99.96%), error:       449.16754, best error:       387.05142 on epoch:    84, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0000319482, weight_decay: 0.0000063896
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       383.43454, best error:       383.43454 on epoch:    86, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0000303508, weight_decay: 0.0000060702
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       375.61789, best error:       375.61789 on epoch:    87, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0000288332, weight_decay: 0.0000057666
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       378.13187, best error:       375.61789 on epoch:    87, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0000273916, weight_decay: 0.0000054783
[          , genome 11918] predictions:   59974/  60000 (99.96%), best:   59978/60000 (99.96%), error:       427.54462, best error:       375.61789 on epoch:    87, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0000260220, weight_decay: 0.0000052044
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59978/60000 (99.96%), error:       376.29083, best error:       375.61789 on epoch:    87, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0000247209, weight_decay: 0.0000049442
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59978/60000 (99.96%), error:       386.40601, best error:       375.61789 on epoch:    87, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0000234848, weight_decay: 0.0000046970
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59978/60000 (99.96%), error:       380.48651, best error:       375.61789 on epoch:    87, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0000223106, weight_decay: 0.0000044621
[          , genome 11918] predictions:   59979/  60000 (99.97%), best:   59978/60000 (99.96%), error:       376.29791, best error:       375.61789 on epoch:    87, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0000211951, weight_decay: 0.0000042390
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59978/60000 (99.96%), error:       376.12079, best error:       375.61789 on epoch:    87, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0000201353, weight_decay: 0.0000040271
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59978/60000 (99.96%), error:       379.31128, best error:       375.61789 on epoch:    87, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000191285, weight_decay: 0.0000038257
[          , genome 11918] predictions:   59978/  60000 (99.96%), best:   59978/60000 (99.96%), error:       388.56509, best error:       375.61789 on epoch:    87, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000181721, weight_decay: 0.0000036344
[          , genome 11918] predictions:   59979/  60000 (99.97%), best:   59979/60000 (99.96%), error:       370.52258, best error:       370.52258 on epoch:    97, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000172635, weight_decay: 0.0000034527
[          , genome 11918] predictions:   59981/  60000 (99.97%), best:   59979/60000 (99.96%), error:       377.49878, best error:       370.52258 on epoch:    97, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000164003, weight_decay: 0.0000032801
[          , genome 11918] predictions:   59980/  60000 (99.97%), best:   59979/60000 (99.96%), error:       377.31207, best error:       370.52258 on epoch:    97, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000155803, weight_decay: 0.0000031161
[          , genome 11918] predictions:   59979/  60000 (99.97%), best:   59979/60000 (99.96%), error:       370.34119, best error:       370.34119 on epoch:   100, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000148013, weight_decay: 0.0000029603
evaluating best weights on test data.
evaluting generalizability set with running mean/variance:
[          , genome 11918] predictions:    4964/   5000 (99.28%), best:   59979/60000 (99.96%), error:       110.96678, best error:       370.34119 on epoch:   100, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000140612, weight_decay: 0.0000028122
evaluting test set with running mean/variance:
[          , genome 11918] predictions:    4962/   5000 (99.24%), best:   59979/60000 (99.96%), error:        98.55328, best error:       370.34119 on epoch:   100, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000140612, weight_decay: 0.0000028122
backpropagation finished successfully!
15:22:31 (67877): called boinc_finish(0)

</stderr_txt>
]]>