Nameexact_genome_1542383404_167_6078_0
Workunit4093363
Created16 Nov 2018, 17:57:09 UTC
Sent16 Nov 2018, 18:27:41 UTC
Report deadline14 Dec 2018, 15:41:41 UTC
Received18 Nov 2018, 18:56:23 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time7 hours 15 min 34 sec
CPU time7 hours 13 min 26 sec
Validate stateValid
Credit6,971.18
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.23 MB
Peak swap size545.15 MB
Peak disk usage11.60 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6078_0_r2085418339_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6078.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: 6078
read normal distribution: '1 1.54542589187622 -1.40079033374786'
generator_str: '1895813559'
read generator: 1895813559
read generated_by_map:
1 add_edge 1
reading 91 nodes.
reading 381 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: 723615574
post shuffle 1: 1508162710
epoch time: 927.853393554688s, input_fired_time: 6.62692832946777, output_fired_time: 4.628333568573, propagate_forward_time: 267.582794189453, propagate_backward_time: 641.650634765625, weight_update_time: 0.754046618938446, other_time: 7.3646240234375
epoch time: 55.3038597106934s, input_fired_time: 0.666013360023499, output_fired_time: 0, propagate_forward_time: 53.4668045043945, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.17104339599609
validation[          , genome  6078] predictions:    4970/  10000 (49.70%), best:    4970/10000 (49.70%), error:     17318.12305, best error:     17318.12305 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 927.7106323242s, input_fired_time: 6.6092114449, output_fired_time: 4.6377992630, propagate_forward_time: 267.7966308594, propagate_backward_time: 641.0801391602, weight_update_time: 0.7979179025, other_time: 7.5868530273
epoch time: 55.2961578369s, input_fired_time: 0.6574549079, output_fired_time: 0.0000000000, propagate_forward_time: 53.4644966125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1742057800
validation[          , genome  6078] predictions:    4978/  10000 (49.78%), best:    4978/10000 (49.78%), error:     16427.57813, best error:     16427.57813 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 927.6894531250s, input_fired_time: 6.5623350143, output_fired_time: 4.6427040100, propagate_forward_time: 267.5027160645, propagate_backward_time: 641.3847045898, weight_update_time: 0.8043865561, other_time: 7.5969848633
epoch time: 55.2096099854s, input_fired_time: 0.6589195728, output_fired_time: 0.0000000000, propagate_forward_time: 53.3786277771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1720619202
validation[          , genome  6078] predictions:    5164/  10000 (51.64%), best:    5164/10000 (51.64%), error:     15014.48926, best error:     15014.48926 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 929.0337524414s, input_fired_time: 6.5383343697, output_fired_time: 4.6359176636, propagate_forward_time: 267.6067199707, propagate_backward_time: 642.5774536133, weight_update_time: 0.8077247143, other_time: 7.6753540039
epoch time: 55.2777023315s, input_fired_time: 0.6497775912, output_fired_time: 0.0000000000, propagate_forward_time: 53.4625778198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1653480530
validation[          , genome  6078] predictions:    5236/  10000 (52.36%), best:    5236/10000 (52.36%), error:     14546.84180, best error:     14546.84180 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 929.3082275391s, input_fired_time: 6.5334615707, output_fired_time: 4.6328635216, propagate_forward_time: 267.4580993652, propagate_backward_time: 643.0496215820, weight_update_time: 0.8076450229, other_time: 7.6342163086
epoch time: 55.3010559082s, input_fired_time: 0.6514461637, output_fired_time: 0.0000000000, propagate_forward_time: 53.4784355164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1711730957
validation[          , genome  6078] predictions:    5013/  10000 (50.13%), best:    5236/10000 (52.36%), error:     15757.26074, best error:     14546.84180 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 930.0811767578s, input_fired_time: 6.5344886780, output_fired_time: 4.6327314377, propagate_forward_time: 267.7078552246, propagate_backward_time: 643.6249389648, weight_update_time: 0.8067339063, other_time: 7.5811157227
epoch time: 55.2828826904s, input_fired_time: 0.6470742822, output_fired_time: 0.0000000000, propagate_forward_time: 53.4684295654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1673774719
validation[          , genome  6078] predictions:    4926/  10000 (49.26%), best:    5236/10000 (52.36%), error:     16466.32617, best error:     14546.84180 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 932.5033569336s, input_fired_time: 6.5864758492, output_fired_time: 4.6492824554, propagate_forward_time: 268.4829406738, propagate_backward_time: 645.1116333008, weight_update_time: 0.8061507344, other_time: 7.6730346680
epoch time: 55.3703117371s, input_fired_time: 0.6521449685, output_fired_time: 0.0000000000, propagate_forward_time: 53.5524215698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1657447815
validation[          , genome  6078] predictions:    5206/  10000 (52.06%), best:    5236/10000 (52.36%), error:     14767.88477, best error:     14546.84180 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 933.6614990234s, input_fired_time: 6.5864572525, output_fired_time: 4.6803154945, propagate_forward_time: 268.1502380371, propagate_backward_time: 646.6079711914, weight_update_time: 0.8055186272, other_time: 7.6365356445
epoch time: 55.3213119507s, input_fired_time: 0.6550493836, output_fired_time: 0.0000000000, propagate_forward_time: 53.5000457764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1662178040
validation[          , genome  6078] predictions:    5014/  10000 (50.14%), best:    5236/10000 (52.36%), error:     15803.83398, best error:     14546.84180 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 933.5129394531s, input_fired_time: 6.5718274117, output_fired_time: 4.6410369873, propagate_forward_time: 268.0519714355, propagate_backward_time: 646.6245727539, weight_update_time: 0.8114063144, other_time: 7.6234741211
epoch time: 55.2557487488s, input_fired_time: 0.6528623104, output_fired_time: 0.0000000000, propagate_forward_time: 53.4289131165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1739730835
validation[          , genome  6078] predictions:    5124/  10000 (51.24%), best:    5236/10000 (52.36%), error:     16009.80957, best error:     14546.84180 on epoch:     3, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 934.7446899414s, input_fired_time: 6.5865592957, output_fired_time: 4.6393437386, propagate_forward_time: 268.0529785156, propagate_backward_time: 647.7910156250, weight_update_time: 0.8272323012, other_time: 7.6748046875
epoch time: 55.2195587158s, input_fired_time: 0.6571706533, output_fired_time: 0.0000000000, propagate_forward_time: 53.3920822144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1703071594
validation[          , genome  6078] predictions:    5058/  10000 (50.58%), best:    5236/10000 (52.36%), error:     15555.58301, best error:     14546.84180 on epoch:     3, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 935.6427612305s, input_fired_time: 6.6079926491, output_fired_time: 4.6459989548, propagate_forward_time: 268.6338195801, propagate_backward_time: 648.0812377930, weight_update_time: 0.8080192804, other_time: 7.6737670898
epoch time: 55.3044166565s, input_fired_time: 0.6650645733, output_fired_time: 0.0000000000, propagate_forward_time: 53.4609870911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1783638000
validation[          , genome  6078] predictions:    5215/  10000 (52.15%), best:    5236/10000 (52.36%), error:     15555.92773, best error:     14546.84180 on epoch:     3, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 934.9941406250s, input_fired_time: 6.5937609673, output_fired_time: 4.6391272545, propagate_forward_time: 268.1212463379, propagate_backward_time: 648.1176757813, weight_update_time: 0.8071499467, other_time: 7.5223388672
epoch time: 55.7278251648s, input_fired_time: 0.6680734754, output_fired_time: 0.0000000000, propagate_forward_time: 53.8735961914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1861572266
validation[          , genome  6078] predictions:    5504/  10000 (55.04%), best:    5504/10000 (55.04%), error:     13785.26172, best error:     13785.26172 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 935.6342163086s, input_fired_time: 6.5898909569, output_fired_time: 4.6457209587, propagate_forward_time: 268.0651245117, propagate_backward_time: 648.6722412109, weight_update_time: 0.8086203337, other_time: 7.6612548828
epoch time: 55.3122634888s, input_fired_time: 0.6439898014, output_fired_time: 0.0000000000, propagate_forward_time: 53.4925384521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1757354736
validation[          , genome  6078] predictions:    5317/  10000 (53.17%), best:    5504/10000 (55.04%), error:     14241.38867, best error:     13785.26172 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 936.1730957031s, input_fired_time: 6.6250772476, output_fired_time: 4.6534042358, propagate_forward_time: 267.9539794922, propagate_backward_time: 649.3795776367, weight_update_time: 0.8070313931, other_time: 7.5610961914
epoch time: 55.4787864685s, input_fired_time: 0.6647822857, output_fired_time: 0.0000000000, propagate_forward_time: 53.6416244507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1723785400
validation[          , genome  6078] predictions:    5371/  10000 (53.71%), best:    5504/10000 (55.04%), error:     14321.45605, best error:     13785.26172 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 936.5227661133s, input_fired_time: 6.6119804382, output_fired_time: 4.6799435616, propagate_forward_time: 268.2087707520, propagate_backward_time: 649.4714355469, weight_update_time: 0.8091428876, other_time: 7.5506591797
epoch time: 56.0938758850s, input_fired_time: 0.6684294343, output_fired_time: 0.0000000000, propagate_forward_time: 53.4828147888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9426307678
validation[          , genome  6078] predictions:    5376/  10000 (53.76%), best:    5504/10000 (55.04%), error:     14654.72656, best error:     13785.26172 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 936.6469726563s, input_fired_time: 6.6070446968, output_fired_time: 4.6520671844, propagate_forward_time: 267.8921203613, propagate_backward_time: 649.8440551758, weight_update_time: 0.8084961176, other_time: 7.6516723633
epoch time: 55.3035621643s, input_fired_time: 0.6616172791, output_fired_time: 0.0000000000, propagate_forward_time: 53.4361991882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2057456970
validation[          , genome  6078] predictions:    5246/  10000 (52.46%), best:    5504/10000 (55.04%), error:     15419.56641, best error:     13785.26172 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 937.4272460938s, input_fired_time: 6.6277928352, output_fired_time: 4.6425943375, propagate_forward_time: 268.3367919922, propagate_backward_time: 650.1490478516, weight_update_time: 0.8126165271, other_time: 7.6710205078
epoch time: 55.3249320984s, input_fired_time: 0.6688652039, output_fired_time: 0.0000000000, propagate_forward_time: 53.4819641113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1741027832
validation[          , genome  6078] predictions:    5506/  10000 (55.06%), best:    5506/10000 (55.06%), error:     13522.95313, best error:     13522.95313 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 937.6607666016s, input_fired_time: 6.6385216713, output_fired_time: 4.6457471848, propagate_forward_time: 268.0161132813, propagate_backward_time: 650.6295166016, weight_update_time: 0.8107832670, other_time: 7.7308349609
epoch time: 55.2136154175s, input_fired_time: 0.6714597344, output_fired_time: 0.0000000000, propagate_forward_time: 53.3784790039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1636772156
validation[          , genome  6078] predictions:    5584/  10000 (55.84%), best:    5506/10000 (55.06%), error:     13596.66309, best error:     13522.95313 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 937.0556640625s, input_fired_time: 6.6529784203, output_fired_time: 4.6385755539, propagate_forward_time: 268.1124572754, propagate_backward_time: 650.1029052734, weight_update_time: 0.8107634783, other_time: 7.5488281250
epoch time: 55.7223129272s, input_fired_time: 0.6777643561, output_fired_time: 0.0000000000, propagate_forward_time: 53.8593673706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1851806641
validation[          , genome  6078] predictions:    5381/  10000 (53.81%), best:    5506/10000 (55.06%), error:     14153.70801, best error:     13522.95313 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 937.5633544922s, input_fired_time: 6.6275215149, output_fired_time: 4.6456274986, propagate_forward_time: 267.8236389160, propagate_backward_time: 650.8535156250, weight_update_time: 0.8077816963, other_time: 7.6130371094
epoch time: 55.6744232178s, input_fired_time: 0.6626468897, output_fired_time: 0.0000000000, propagate_forward_time: 53.7959022522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2158737183
validation[          , genome  6078] predictions:    5226/  10000 (52.26%), best:    5506/10000 (55.06%), error:     14470.86621, best error:     13522.95313 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 938.3778686523s, input_fired_time: 6.6612944603, output_fired_time: 4.6483149529, propagate_forward_time: 268.1640930176, propagate_backward_time: 651.2721557617, weight_update_time: 0.8072381616, other_time: 7.6320190430
epoch time: 55.3692092896s, input_fired_time: 0.6783309579, output_fired_time: 0.0000000000, propagate_forward_time: 53.5180931091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1727867126
validation[          , genome  6078] predictions:    5547/  10000 (55.47%), best:    5506/10000 (55.06%), error:     13909.27344, best error:     13522.95313 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 937.7468261719s, input_fired_time: 6.6646308899, output_fired_time: 4.6348991394, propagate_forward_time: 267.8977050781, propagate_backward_time: 651.0344238281, weight_update_time: 0.8070822954, other_time: 7.5151977539
epoch time: 55.7610054016s, input_fired_time: 0.6832114458, output_fired_time: 0.0000000000, propagate_forward_time: 53.8952331543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1825599670
validation[          , genome  6078] predictions:    5606/  10000 (56.06%), best:    5606/10000 (56.06%), error:     13496.52539, best error:     13496.52539 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 939.7986450195s, input_fired_time: 6.6866846085, output_fired_time: 4.6483230591, propagate_forward_time: 268.4024658203, propagate_backward_time: 652.3921508789, weight_update_time: 0.8082000017, other_time: 7.6690063477
epoch time: 55.7120094299s, input_fired_time: 0.6829770207, output_fired_time: 0.0000000000, propagate_forward_time: 53.8541183472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1749153137
validation[          , genome  6078] predictions:    5363/  10000 (53.63%), best:    5606/10000 (56.06%), error:     14979.81250, best error:     13496.52539 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 939.4974365234s, input_fired_time: 6.6693377495, output_fired_time: 4.6492471695, propagate_forward_time: 268.2552490234, propagate_backward_time: 652.1946411133, weight_update_time: 0.8061912656, other_time: 7.7290039063
epoch time: 55.9079170227s, input_fired_time: 0.6709181666, output_fired_time: 0.0000000000, propagate_forward_time: 53.5048446655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7321548462
validation[          , genome  6078] predictions:    5652/  10000 (56.52%), best:    5606/10000 (56.06%), error:     13554.67969, best error:     13496.52539 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 938.3110351563s, input_fired_time: 6.6663336754, output_fired_time: 4.6439156532, propagate_forward_time: 267.9176940918, propagate_backward_time: 651.5179443359, weight_update_time: 0.8094701767, other_time: 7.5651855469
epoch time: 56.8271484375s, input_fired_time: 0.6963514686, output_fired_time: 0.0000000000, propagate_forward_time: 53.8762512207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2545471191
validation[          , genome  6078] predictions:    5730/  10000 (57.30%), best:    5730/10000 (57.30%), error:     13146.53320, best error:     13146.53320 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 938.3351440430s, input_fired_time: 6.6728916168, output_fired_time: 4.6427087784, propagate_forward_time: 267.7953491211, propagate_backward_time: 651.5900878906, weight_update_time: 0.8082363009, other_time: 7.6340942383
epoch time: 55.2520408630s, input_fired_time: 0.6682752371, output_fired_time: 0.0000000000, propagate_forward_time: 53.4100952148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1736717224
validation[          , genome  6078] predictions:    5575/  10000 (55.75%), best:    5730/10000 (57.30%), error:     13778.56152, best error:     13146.53320 on epoch:    24, 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: 276.9981079102s, input_fired_time: 3.4177474976, output_fired_time: 0.0000000000, propagate_forward_time: 267.7102661133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8700866699
best training[          , genome  6078] predictions:   31807/  50000 (63.61%), best:    5730/10000 (57.30%), error:     53140.41016, best error:     13146.53320 on epoch:    24, 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: 56.7354278564s, input_fired_time: 0.6813572645, output_fired_time: 0.0000000000, propagate_forward_time: 53.4766311646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5774383545
   testing[          , genome  6078] predictions:    5730/  10000 (57.30%), best:    5730/10000 (57.30%), error:     13146.53320, best error:     13146.53320 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
12:55:50 (12836): called boinc_finish(0)

</stderr_txt>
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