Nameexact_genome_1542495604_166_6169_1
Workunit4095564
Created18 Nov 2018, 2:03:31 UTC
Sent18 Nov 2018, 2:05:47 UTC
Report deadline14 Dec 2018, 16:48:11 UTC
Received20 Nov 2018, 20:39:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID30770
Run time9 hours 22 min 9 sec
CPU time9 hours 19 min 10 sec
Validate stateValid
Credit6,653.20
Device peak FLOPS4.85 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size530.85 MB
Peak swap size552.32 MB
Peak disk usage12.05 MB

Stderr output

<core_client_version>7.6.33</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_166_6169.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_166_6169_1_r776968454_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_166_6169.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: 6169
read normal distribution: '0 1.52242290973663 1.66443860530853'
generator_str: '283656180'
read generator: 283656180
read generated_by_map:
1 add_edge 1
reading 113 nodes.
reading 430 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: 2143204567
post shuffle 1: 1608210471
epoch time: 1161.96337890625s, input_fired_time: 10.4179105758667, output_fired_time: 8.96322154998779, propagate_forward_time: 431.028533935547, propagate_backward_time: 698.499572753906, weight_update_time: 1.12720000743866, other_time: 13.0540161132813
epoch time: 89.6782379150391s, input_fired_time: 1.20203495025635, output_fired_time: 0, propagate_forward_time: 86.1176910400391, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.35851287841797
validation[          , genome  6169] predictions:    5162/  10000 (51.62%), best:    5162/10000 (51.62%), error:     16599.10352, best error:     16599.10352 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1161.9898681641s, input_fired_time: 10.3058710098, output_fired_time: 8.9474477768, propagate_forward_time: 431.7019042969, propagate_backward_time: 698.0471801758, weight_update_time: 1.1271500587, other_time: 12.9874877930
epoch time: 90.6375885010s, input_fired_time: 1.2085735798, output_fired_time: 0.0000000000, propagate_forward_time: 87.0354843140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3935317993
validation[          , genome  6169] predictions:    5298/  10000 (52.98%), best:    5298/10000 (52.98%), error:     15273.21289, best error:     15273.21289 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1172.2598876953s, input_fired_time: 10.3616456985, output_fired_time: 9.1261787415, propagate_forward_time: 435.0402526855, propagate_backward_time: 704.6383056641, weight_update_time: 1.1440815926, other_time: 13.0933837891
epoch time: 90.7104644775s, input_fired_time: 1.1879702806, output_fired_time: 0.0000000000, propagate_forward_time: 87.1604156494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3620758057
validation[          , genome  6169] predictions:    5055/  10000 (50.55%), best:    5298/10000 (52.98%), error:     16716.40234, best error:     15273.21289 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1163.1430664063s, input_fired_time: 10.2317857742, output_fired_time: 8.9956550598, propagate_forward_time: 430.7712402344, propagate_backward_time: 700.0842285156, weight_update_time: 1.1251419783, other_time: 13.0601806641
epoch time: 90.5445861816s, input_fired_time: 1.1877061129, output_fired_time: 0.0000000000, propagate_forward_time: 86.9856796265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3712005615
validation[          , genome  6169] predictions:    4848/  10000 (48.48%), best:    5298/10000 (52.98%), error:     16917.58203, best error:     15273.21289 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1165.6500244141s, input_fired_time: 10.2177228928, output_fired_time: 9.0595130920, propagate_forward_time: 431.9074401855, propagate_backward_time: 701.4768676758, weight_update_time: 1.1225352287, other_time: 12.9883422852
epoch time: 91.0338745117s, input_fired_time: 1.1938141584, output_fired_time: 0.0000000000, propagate_forward_time: 87.4593200684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3807373047
validation[          , genome  6169] predictions:    4922/  10000 (49.22%), best:    5298/10000 (52.98%), error:     16646.99414, best error:     15273.21289 on epoch:     1, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1171.6070556641s, input_fired_time: 10.3131399155, output_fired_time: 9.0277433395, propagate_forward_time: 435.7311401367, propagate_backward_time: 703.4914550781, weight_update_time: 1.1343448162, other_time: 13.0436401367
epoch time: 90.8798522949s, input_fired_time: 1.1944819689, output_fired_time: 0.0000000000, propagate_forward_time: 87.3004150391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3849563599
validation[          , genome  6169] predictions:    5040/  10000 (50.40%), best:    5298/10000 (52.98%), error:     16105.83984, best error:     15273.21289 on epoch:     1, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1165.7132568359s, input_fired_time: 10.2714576721, output_fired_time: 8.9992284775, propagate_forward_time: 433.6357116699, propagate_backward_time: 699.8114624023, weight_update_time: 1.1204797029, other_time: 12.9953002930
epoch time: 89.8334045410s, input_fired_time: 1.1918485165, output_fired_time: 0.0000000000, propagate_forward_time: 86.3152999878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3262557983
validation[          , genome  6169] predictions:    5196/  10000 (51.96%), best:    5298/10000 (52.98%), error:     15572.22656, best error:     15273.21289 on epoch:     1, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1173.2573242188s, input_fired_time: 10.3371639252, output_fired_time: 9.0253944397, propagate_forward_time: 436.6135559082, propagate_backward_time: 704.2085571289, weight_update_time: 1.1312333345, other_time: 13.0726928711
epoch time: 90.8121795654s, input_fired_time: 1.1942828894, output_fired_time: 0.0000000000, propagate_forward_time: 87.2643356323, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3535614014
validation[          , genome  6169] predictions:    5304/  10000 (53.04%), best:    5304/10000 (53.04%), error:     14554.14941, best error:     14554.14941 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1168.9820556641s, input_fired_time: 10.3055858612, output_fired_time: 9.0220766068, propagate_forward_time: 434.1112365723, propagate_backward_time: 702.4298095703, weight_update_time: 1.1444396973, other_time: 13.1134033203
epoch time: 90.3814392090s, input_fired_time: 1.2033511400, output_fired_time: 0.0000000000, propagate_forward_time: 86.7724151611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4056701660
validation[          , genome  6169] predictions:    5155/  10000 (51.55%), best:    5304/10000 (53.04%), error:     15273.19238, best error:     14554.14941 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1163.2231445313s, input_fired_time: 10.2563371658, output_fired_time: 8.9943943024, propagate_forward_time: 431.9952087402, propagate_backward_time: 699.0339355469, weight_update_time: 1.1222969294, other_time: 12.9432373047
epoch time: 89.9326553345s, input_fired_time: 1.2000859976, output_fired_time: 0.0000000000, propagate_forward_time: 86.3630218506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3695449829
validation[          , genome  6169] predictions:    5085/  10000 (50.85%), best:    5304/10000 (53.04%), error:     15172.29102, best error:     14554.14941 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1168.0893554688s, input_fired_time: 10.2914886475, output_fired_time: 9.0186996460, propagate_forward_time: 433.8343200684, propagate_backward_time: 701.8635253906, weight_update_time: 1.1361514330, other_time: 13.0812988281
epoch time: 87.8905868530s, input_fired_time: 1.1789063215, output_fired_time: 0.0000000000, propagate_forward_time: 84.3869934082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3246841431
validation[          , genome  6169] predictions:    5422/  10000 (54.22%), best:    5422/10000 (54.22%), error:     14460.10449, best error:     14460.10449 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1170.0501708984s, input_fired_time: 10.3516778946, output_fired_time: 9.0756893158, propagate_forward_time: 434.6113891602, propagate_backward_time: 702.8029785156, weight_update_time: 1.1438914537, other_time: 13.2084350586
epoch time: 89.6724014282s, input_fired_time: 1.1925991774, output_fired_time: 0.0000000000, propagate_forward_time: 86.1338272095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3459777832
validation[          , genome  6169] predictions:    5452/  10000 (54.52%), best:    5452/10000 (54.52%), error:     13998.21094, best error:     13998.21094 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1164.4195556641s, input_fired_time: 10.3209762573, output_fired_time: 8.9606924057, propagate_forward_time: 432.8799743652, propagate_backward_time: 699.0810546875, weight_update_time: 1.1309449673, other_time: 13.1768798828
epoch time: 89.3871917725s, input_fired_time: 1.2015019655, output_fired_time: 0.0000000000, propagate_forward_time: 85.8177719116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3679199219
validation[          , genome  6169] predictions:    5385/  10000 (53.85%), best:    5385/10000 (53.85%), error:     13926.28418, best error:     13926.28418 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1162.5731201172s, input_fired_time: 10.3091630936, output_fired_time: 8.9661121368, propagate_forward_time: 431.8048095703, propagate_backward_time: 698.3087158203, weight_update_time: 1.1171109676, other_time: 13.1843261719
epoch time: 89.4814224243s, input_fired_time: 1.2117028236, output_fired_time: 0.0000000000, propagate_forward_time: 85.9348144531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3349075317
validation[          , genome  6169] predictions:    5686/  10000 (56.86%), best:    5686/10000 (56.86%), error:     13233.19141, best error:     13233.19141 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1324.7019042969s, input_fired_time: 11.4933567047, output_fired_time: 10.2054805756, propagate_forward_time: 495.1809997559, propagate_backward_time: 792.9367675781, weight_update_time: 1.2496966124, other_time: 14.8852539063
epoch time: 91.6005859375s, input_fired_time: 1.2257670164, output_fired_time: 0.0000000000, propagate_forward_time: 87.9521255493, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4226913452
validation[          , genome  6169] predictions:    5253/  10000 (52.53%), best:    5686/10000 (56.86%), error:     14551.67383, best error:     13233.19141 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1170.4489746094s, input_fired_time: 10.4011802673, output_fired_time: 9.0792798996, propagate_forward_time: 434.7266845703, propagate_backward_time: 703.1204223633, weight_update_time: 1.1388264894, other_time: 13.1215209961
epoch time: 90.2376098633s, input_fired_time: 1.2213382721, output_fired_time: 0.0000000000, propagate_forward_time: 86.6300888062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3861846924
validation[          , genome  6169] predictions:    5308/  10000 (53.08%), best:    5686/10000 (56.86%), error:     14219.90918, best error:     13233.19141 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1168.3122558594s, input_fired_time: 10.3821077347, output_fired_time: 9.0140666962, propagate_forward_time: 434.3705444336, propagate_backward_time: 701.3320312500, weight_update_time: 1.1427187920, other_time: 13.2135620117
epoch time: 89.5759353638s, input_fired_time: 1.2137669325, output_fired_time: 0.0000000000, propagate_forward_time: 86.0225372314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3396301270
validation[          , genome  6169] predictions:    5533/  10000 (55.33%), best:    5686/10000 (56.86%), error:     13848.45117, best error:     13233.19141 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1164.4141845703s, input_fired_time: 10.3455362320, output_fired_time: 9.0214891434, propagate_forward_time: 432.3981323242, propagate_backward_time: 699.5731811523, weight_update_time: 1.1288402081, other_time: 13.0758056641
epoch time: 89.8940124512s, input_fired_time: 1.2253967524, output_fired_time: 0.0000000000, propagate_forward_time: 86.3111190796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3574981689
validation[          , genome  6169] predictions:    5653/  10000 (56.53%), best:    5686/10000 (56.86%), error:     13585.32617, best error:     13233.19141 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1172.9482421875s, input_fired_time: 10.4408349991, output_fired_time: 9.1018199921, propagate_forward_time: 435.4810485840, propagate_backward_time: 704.7656860352, weight_update_time: 1.1303989887, other_time: 13.1588745117
epoch time: 91.0170669556s, input_fired_time: 1.2162055969, output_fired_time: 0.0000000000, propagate_forward_time: 87.4194259644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3814315796
validation[          , genome  6169] predictions:    5459/  10000 (54.59%), best:    5686/10000 (56.86%), error:     14213.41309, best error:     13233.19141 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1171.3356933594s, input_fired_time: 10.4440708160, output_fired_time: 9.0363655090, propagate_forward_time: 434.7242126465, propagate_backward_time: 703.9045410156, weight_update_time: 1.1344070435, other_time: 13.2264404297
epoch time: 89.9110260010s, input_fired_time: 1.2155202627, output_fired_time: 0.0000000000, propagate_forward_time: 86.3148117065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3806915283
validation[          , genome  6169] predictions:    5714/  10000 (57.14%), best:    5686/10000 (56.86%), error:     13385.56348, best error:     13233.19141 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1167.1247558594s, input_fired_time: 10.3967962265, output_fired_time: 9.0772142410, propagate_forward_time: 433.8125305176, propagate_backward_time: 700.6759643555, weight_update_time: 1.1353840828, other_time: 13.1621704102
epoch time: 89.6855773926s, input_fired_time: 1.2216080427, output_fired_time: 0.0000000000, propagate_forward_time: 86.0860977173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3778686523
validation[          , genome  6169] predictions:    5571/  10000 (55.71%), best:    5686/10000 (56.86%), error:     13486.11328, best error:     13233.19141 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1168.8142089844s, input_fired_time: 10.4253225327, output_fired_time: 9.0499210358, propagate_forward_time: 433.5011596680, propagate_backward_time: 702.6926269531, weight_update_time: 1.1300224066, other_time: 13.1452026367
epoch time: 90.8088378906s, input_fired_time: 1.2415082455, output_fired_time: 0.0000000000, propagate_forward_time: 87.2291259766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3382034302
validation[          , genome  6169] predictions:    5525/  10000 (55.25%), best:    5686/10000 (56.86%), error:     13538.77832, best error:     13233.19141 on epoch:    13, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1175.4246826172s, input_fired_time: 10.4947662354, output_fired_time: 9.0603609085, propagate_forward_time: 435.5884094238, propagate_backward_time: 707.1115722656, weight_update_time: 1.1239390373, other_time: 13.1696777344
epoch time: 90.7475814819s, input_fired_time: 1.2306926250, output_fired_time: 0.0000000000, propagate_forward_time: 87.1703948975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3464965820
validation[          , genome  6169] predictions:    5493/  10000 (54.93%), best:    5686/10000 (56.86%), error:     14112.69434, best error:     13233.19141 on epoch:    13, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1186.3836669922s, input_fired_time: 10.6142158508, output_fired_time: 9.1624565125, propagate_forward_time: 439.8206481934, propagate_backward_time: 713.2780151367, weight_update_time: 1.1478185654, other_time: 13.5082397461
epoch time: 91.2841949463s, input_fired_time: 1.2337821722, output_fired_time: 0.0000000000, propagate_forward_time: 87.6550979614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3953170776
validation[          , genome  6169] predictions:    5614/  10000 (56.14%), best:    5686/10000 (56.86%), error:     13417.76270, best error:     13233.19141 on epoch:    13, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1257.8459472656s, input_fired_time: 11.0984153748, output_fired_time: 9.6958217621, propagate_forward_time: 467.8445129395, propagate_backward_time: 754.9390869141, weight_update_time: 1.2016534805, other_time: 14.2681884766
epoch time: 106.6685409546s, input_fired_time: 1.4294618368, output_fired_time: 0.0000000000, propagate_forward_time: 102.4297103882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8093719482
validation[          , genome  6169] predictions:    5553/  10000 (55.53%), best:    5686/10000 (56.86%), error:     14000.91504, best error:     13233.19141 on epoch:    13, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1195.8395996094s, input_fired_time: 10.6905231476, output_fired_time: 9.2581682205, propagate_forward_time: 445.1026916504, propagate_backward_time: 717.2750244141, weight_update_time: 1.1526771784, other_time: 13.5131835938
epoch time: 111.3014373779s, input_fired_time: 1.4887571335, output_fired_time: 0.0000000000, propagate_forward_time: 106.9838562012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8288269043
validation[          , genome  6169] predictions:    5792/  10000 (57.92%), best:    5792/10000 (57.92%), error:     12971.73633, best error:     12971.73633 on epoch:    25, 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: 524.5611572266s, input_fired_time: 7.0631985664, output_fired_time: 0.0000000000, propagate_forward_time: 503.8558654785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.6421203613
best training[          , genome  6169] predictions:   32795/  50000 (65.59%), best:    5792/10000 (57.92%), error:     50368.09375, best error:     12971.73633 on epoch:    25, 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: 107.6238021851s, input_fired_time: 1.4381643534, output_fired_time: 0.0000000000, propagate_forward_time: 103.4544448853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7311935425
   testing[          , genome  6169] predictions:    5792/  10000 (57.92%), best:    5792/10000 (57.92%), error:     12971.73633, best error:     12971.73633 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
14:34:08 (11168): called boinc_finish(0)

</stderr_txt>
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