Nameexact_genome_1542649503_172_6324_0
Workunit4099012
Created19 Nov 2018, 23:45:26 UTC
Sent19 Nov 2018, 23:45:29 UTC
Report deadline14 Dec 2018, 21:58:32 UTC
Received20 Nov 2018, 9:45:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60660
Run time7 hours 50 min 23 sec
CPU time7 hours 41 min 25 sec
Validate stateValid
Credit6,231.44
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size573.65 MB
Peak swap size593.56 MB
Peak disk usage12.21 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_1542649503_172_6324.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6324_0_r169173990_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6324.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.487078
read mu: 0.487078
read mu_delta: 0.937648
read initial_learning_rate: 6.42359e-05
read learning_rate: 6.42359e-05
read learning_rate_delta: 0.926126
read initial_weight_decay: 0.00021229
read weight_decay: 0.00021229
read weight_decay_delta: 0.943129
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.0926896
read input_dropout_probability: 0.0013532
read hidden_dropout_probability: 0.0821135
read velocity_reset: 1780
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: 6324
read normal distribution: '1 -2.22193121910095 0.0194161552935839'
generator_str: '1070755215'
read generator: 1070755215
read generated_by_map:
1 split_edge 1
reading 98 nodes.
reading 393 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: 269936645
post shuffle 1: 959812179
epoch time: 990.999389648438s, input_fired_time: 23.634801864624, output_fired_time: 8.15713596343994, propagate_forward_time: 360.481170654297, propagate_backward_time: 584.804748535156, weight_update_time: 0.331739842891693, other_time: 13.9214477539063
epoch time: 76.2820358276367s, input_fired_time: 1.4981290102005, output_fired_time: 0, propagate_forward_time: 72.4174194335938, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.36648559570313
validation[          , genome  6324] predictions:    6474/  10000 (64.74%), best:    6474/10000 (64.74%), error:     10415.69727, best error:     10415.69727 on epoch:     0, epoch:    0/25, mu: 0.4870778918, learning_rate: 0.0000642359, weight_decay: 0.0002122903

epoch time: 989.3240966797s, input_fired_time: 23.5803108215, output_fired_time: 8.1707830429, propagate_forward_time: 359.2281494141, propagate_backward_time: 584.5473022461, weight_update_time: 0.3172223866, other_time: 13.7975463867
epoch time: 76.6168899536s, input_fired_time: 1.5157670975, output_fired_time: 0.0000000000, propagate_forward_time: 72.6703948975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4307250977
validation[          , genome  6324] predictions:    6506/  10000 (65.06%), best:    6474/10000 (64.74%), error:     10493.60645, best error:     10415.69727 on epoch:     0, epoch:    1/25, mu: 0.5184358954, learning_rate: 0.0000594905, weight_decay: 0.0002002171

epoch time: 992.4802246094s, input_fired_time: 23.7458953857, output_fired_time: 8.3016014099, propagate_forward_time: 360.6520996094, propagate_backward_time: 585.8062133789, weight_update_time: 0.3172418475, other_time: 13.9744262695
epoch time: 77.4389495850s, input_fired_time: 1.5256491899, output_fired_time: 0.0000000000, propagate_forward_time: 73.3371505737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5761489868
validation[          , genome  6324] predictions:    6472/  10000 (64.72%), best:    6474/10000 (64.74%), error:     10605.49121, best error:     10415.69727 on epoch:     0, epoch:    2/25, mu: 0.5478386879, learning_rate: 0.0000550958, weight_decay: 0.0001888305

epoch time: 1187.8824462891s, input_fired_time: 23.7926921844, output_fired_time: 8.2880363464, propagate_forward_time: 361.1721191406, propagate_backward_time: 780.5183715820, weight_update_time: 0.3216583133, other_time: 14.1111450195
epoch time: 76.5486907959s, input_fired_time: 1.5027118921, output_fired_time: 0.0000000000, propagate_forward_time: 72.6661682129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3798141479
validation[          , genome  6324] predictions:    6413/  10000 (64.13%), best:    6474/10000 (64.74%), error:     10777.21191, best error:     10415.69727 on epoch:     0, epoch:    3/25, mu: 0.5754081607, learning_rate: 0.0000510257, weight_decay: 0.0001780915

epoch time: 991.5991821289s, input_fired_time: 23.6588001251, output_fired_time: 8.2697191238, propagate_forward_time: 360.5579528809, propagate_backward_time: 585.2691040039, weight_update_time: 0.3170561194, other_time: 13.8435668945
epoch time: 76.7608032227s, input_fired_time: 1.5060591698, output_fired_time: 0.0000000000, propagate_forward_time: 72.8058090210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4489364624
validation[          , genome  6324] predictions:    6396/  10000 (63.96%), best:    6474/10000 (64.74%), error:     10834.96777, best error:     10415.69727 on epoch:     0, epoch:    4/25, mu: 0.6012586355, learning_rate: 0.0000472562, weight_decay: 0.0001679632

epoch time: 1004.0624389648s, input_fired_time: 23.8888244629, output_fired_time: 8.2414169312, propagate_forward_time: 364.9116821289, propagate_backward_time: 593.2283325195, weight_update_time: 0.3459087908, other_time: 13.7921752930
epoch time: 76.7038650513s, input_fired_time: 1.5060386658, output_fired_time: 0.0000000000, propagate_forward_time: 72.7799987793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4178314209
validation[          , genome  6324] predictions:    6409/  10000 (64.09%), best:    6474/10000 (64.74%), error:     10973.27441, best error:     10415.69727 on epoch:     0, epoch:    5/25, mu: 0.6254972816, learning_rate: 0.0000437652, weight_decay: 0.0001584110

epoch time: 990.1328125000s, input_fired_time: 23.7162723541, output_fired_time: 8.1581726074, propagate_forward_time: 359.7325134277, propagate_backward_time: 584.5847167969, weight_update_time: 0.3335840702, other_time: 13.9411621094
epoch time: 76.4746932983s, input_fired_time: 1.5261847973, output_fired_time: 0.0000000000, propagate_forward_time: 72.5785064697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3700027466
validation[          , genome  6324] predictions:    6417/  10000 (64.17%), best:    6474/10000 (64.74%), error:     10961.21094, best error:     10415.69727 on epoch:     0, epoch:    6/25, mu: 0.6482246518, learning_rate: 0.0000405321, weight_decay: 0.0001494020

epoch time: 994.2185668945s, input_fired_time: 23.7542915344, output_fired_time: 8.2558031082, propagate_forward_time: 361.6837768555, propagate_backward_time: 586.6930541992, weight_update_time: 0.3250881135, other_time: 13.8316650391
epoch time: 76.4274215698s, input_fired_time: 1.4892504215, output_fired_time: 0.0000000000, propagate_forward_time: 72.6050796509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3330917358
validation[          , genome  6324] predictions:    6322/  10000 (63.22%), best:    6474/10000 (64.74%), error:     11107.56738, best error:     10415.69727 on epoch:     0, epoch:    7/25, mu: 0.6695349216, learning_rate: 0.0000375379, weight_decay: 0.0001409053

epoch time: 986.4217529297s, input_fired_time: 23.5285034180, output_fired_time: 8.1347427368, propagate_forward_time: 358.8580322266, propagate_backward_time: 582.1593017578, weight_update_time: 0.3127746284, other_time: 13.7411499023
epoch time: 76.3626785278s, input_fired_time: 1.5225573778, output_fired_time: 0.0000000000, propagate_forward_time: 72.4941864014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3459320068
validation[          , genome  6324] predictions:    6216/  10000 (62.16%), best:    6474/10000 (64.74%), error:     11471.21484, best error:     10415.69727 on epoch:     0, epoch:    8/25, mu: 0.6895164251, learning_rate: 0.0000347648, weight_decay: 0.0001328919

epoch time: 989.8006591797s, input_fired_time: 23.6947631836, output_fired_time: 8.1850452423, propagate_forward_time: 360.0956420898, propagate_backward_time: 584.0517578125, weight_update_time: 0.3238182664, other_time: 13.7734375000
epoch time: 76.3809432983s, input_fired_time: 1.5147068501, output_fired_time: 0.0000000000, propagate_forward_time: 72.5018463135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3643875122
validation[          , genome  6324] predictions:    6216/  10000 (62.16%), best:    6474/10000 (64.74%), error:     11330.48047, best error:     10415.69727 on epoch:     0, epoch:    9/25, mu: 0.7082520723, learning_rate: 0.0000321966, weight_decay: 0.0001253341

epoch time: 991.4980468750s, input_fired_time: 23.6502094269, output_fired_time: 8.3250246048, propagate_forward_time: 360.1174011230, propagate_backward_time: 585.6375122070, weight_update_time: 0.3137047589, other_time: 13.7678833008
epoch time: 76.1702728271s, input_fired_time: 1.4802432060, output_fired_time: 0.0000000000, propagate_forward_time: 72.3040008545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3860321045
validation[          , genome  6324] predictions:    6239/  10000 (62.39%), best:    6474/10000 (64.74%), error:     11414.19922, best error:     10415.69727 on epoch:     0, epoch:   10/25, mu: 0.7258195281, learning_rate: 0.0000298181, weight_decay: 0.0001182063

epoch time: 2973.9570312500s, input_fired_time: 23.4673557281, output_fired_time: 8.1220588684, propagate_forward_time: 2346.2668457031, propagate_backward_time: 582.5201416016, weight_update_time: 0.3163621724, other_time: 13.5806884766
epoch time: 118.3300094604s, input_fired_time: 1.6211448908, output_fired_time: 0.0000000000, propagate_forward_time: 114.2763748169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4324874878
validation[          , genome  6324] predictions:    6219/  10000 (62.19%), best:    6474/10000 (64.74%), error:     11393.74023, best error:     10415.69727 on epoch:     0, epoch:   11/25, mu: 0.7422916293, learning_rate: 0.0000276154, weight_decay: 0.0001114837

epoch time: 989.9858398438s, input_fired_time: 23.7455387115, output_fired_time: 8.2296886444, propagate_forward_time: 360.1336669922, propagate_backward_time: 584.1843872070, weight_update_time: 0.3170315027, other_time: 13.6925659180
epoch time: 76.4088592529s, input_fired_time: 1.4821844101, output_fired_time: 0.0000000000, propagate_forward_time: 72.5661849976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3604888916
validation[          , genome  6324] predictions:    6078/  10000 (60.78%), best:    6474/10000 (64.74%), error:     11623.86719, best error:     10415.69727 on epoch:     0, epoch:   12/25, mu: 0.7577366829, learning_rate: 0.0000255753, weight_decay: 0.0001051435

epoch time: 989.9164428711s, input_fired_time: 23.6280212402, output_fired_time: 8.1978569031, propagate_forward_time: 359.9509887695, propagate_backward_time: 584.5042114258, weight_update_time: 0.3137887120, other_time: 13.6353759766
epoch time: 77.2940597534s, input_fired_time: 1.4939222336, output_fired_time: 0.0000000000, propagate_forward_time: 73.3703613281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4297790527
validation[          , genome  6324] predictions:    5874/  10000 (58.74%), best:    6474/10000 (64.74%), error:     12304.16406, best error:     10415.69727 on epoch:     0, epoch:   13/25, mu: 0.7722187042, learning_rate: 0.0000236860, weight_decay: 0.0000991639

epoch time: 987.9822387695s, input_fired_time: 23.3462467194, output_fired_time: 8.1321287155, propagate_forward_time: 358.9632263184, propagate_backward_time: 583.9536743164, weight_update_time: 0.3514183760, other_time: 13.5869750977
epoch time: 75.8999786377s, input_fired_time: 1.4580347538, output_fired_time: 0.0000000000, propagate_forward_time: 72.1790161133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2629241943
validation[          , genome  6324] predictions:    5919/  10000 (59.19%), best:    6474/10000 (64.74%), error:     12076.90332, best error:     10415.69727 on epoch:     0, epoch:   14/25, mu: 0.7857977152, learning_rate: 0.0000219362, weight_decay: 0.0000935243

epoch time: 987.2965698242s, input_fired_time: 23.5479164124, output_fired_time: 8.1556739807, propagate_forward_time: 358.8640441895, propagate_backward_time: 583.2594604492, weight_update_time: 0.3100572824, other_time: 13.4694213867
epoch time: 76.7695693970s, input_fired_time: 1.4944087267, output_fired_time: 0.0000000000, propagate_forward_time: 72.9902877808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2848739624
validation[          , genome  6324] predictions:    6085/  10000 (60.85%), best:    6474/10000 (64.74%), error:     11691.48730, best error:     10415.69727 on epoch:     0, epoch:   15/25, mu: 0.7985300422, learning_rate: 0.0000203157, weight_decay: 0.0000882055

epoch time: 989.3807373047s, input_fired_time: 23.5532512665, output_fired_time: 8.1962900162, propagate_forward_time: 359.7868652344, propagate_backward_time: 584.1466064453, weight_update_time: 0.3147161305, other_time: 13.6977539063
epoch time: 75.8156585693s, input_fired_time: 1.4764142036, output_fired_time: 0.0000000000, propagate_forward_time: 71.9107360840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4285049438
validation[          , genome  6324] predictions:    6203/  10000 (62.03%), best:    6474/10000 (64.74%), error:     11578.28516, best error:     10415.69727 on epoch:     0, epoch:   16/25, mu: 0.8104684949, learning_rate: 0.0000188149, weight_decay: 0.0000831892

epoch time: 986.1004028320s, input_fired_time: 23.3795051575, output_fired_time: 8.2149333954, propagate_forward_time: 358.8572387695, propagate_backward_time: 582.0527343750, weight_update_time: 0.3126747012, other_time: 13.5960083008
epoch time: 75.9068298340s, input_fired_time: 1.4554868937, output_fired_time: 0.0000000000, propagate_forward_time: 72.1266555786, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3246841431
validation[          , genome  6324] predictions:    5745/  10000 (57.45%), best:    6474/10000 (64.74%), error:     12679.81543, best error:     10415.69727 on epoch:     0, epoch:   17/25, mu: 0.8216626048, learning_rate: 0.0000174250, weight_decay: 0.0000784581

epoch time: 1129.8409423828s, input_fired_time: 23.3274898529, output_fired_time: 8.0265007019, propagate_forward_time: 356.9609680176, propagate_backward_time: 728.0186767578, weight_update_time: 0.3103230000, other_time: 13.5073242188
epoch time: 76.3828735352s, input_fired_time: 1.4677532911, output_fired_time: 0.0000000000, propagate_forward_time: 72.5975418091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3175811768
validation[          , genome  6324] predictions:    6180/  10000 (61.80%), best:    6474/10000 (64.74%), error:     11679.92969, best error:     10415.69727 on epoch:     0, epoch:   18/25, mu: 0.8321587443, learning_rate: 0.0000161378, weight_decay: 0.0000739961

epoch time: 1812.5506591797s, input_fired_time: 23.6903247833, output_fired_time: 8.2480955124, propagate_forward_time: 359.2313842773, propagate_backward_time: 1407.2532958984, weight_update_time: 0.3175562918, other_time: 14.1275634766
epoch time: 76.1507720947s, input_fired_time: 1.4922411442, output_fired_time: 0.0000000000, propagate_forward_time: 72.3271484375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3313827515
validation[          , genome  6324] predictions:    6176/  10000 (61.76%), best:    6474/10000 (64.74%), error:     11542.55371, best error:     10415.69727 on epoch:     0, epoch:   19/25, mu: 0.8420004249, learning_rate: 0.0000149456, weight_decay: 0.0000697879

epoch time: 989.9288330078s, input_fired_time: 23.6422557831, output_fired_time: 8.1862010956, propagate_forward_time: 360.0463562012, propagate_backward_time: 584.1653442383, weight_update_time: 0.3193308413, other_time: 13.8886108398
epoch time: 75.8066940308s, input_fired_time: 1.4855982065, output_fired_time: 0.0000000000, propagate_forward_time: 71.9088287354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4122695923
validation[          , genome  6324] predictions:    6177/  10000 (61.77%), best:    6474/10000 (64.74%), error:     11557.51074, best error:     10415.69727 on epoch:     0, epoch:   20/25, mu: 0.8512284160, learning_rate: 0.0000138415, weight_decay: 0.0000658190

epoch time: 990.2332153320s, input_fired_time: 23.5297374725, output_fired_time: 8.1632957458, propagate_forward_time: 360.1385803223, propagate_backward_time: 584.6770629883, weight_update_time: 0.3148860931, other_time: 13.7245483398
epoch time: 77.2610549927s, input_fired_time: 1.5030639172, output_fired_time: 0.0000000000, propagate_forward_time: 73.3372421265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4207458496
validation[          , genome  6324] predictions:    6012/  10000 (60.12%), best:    6474/10000 (64.74%), error:     12045.77930, best error:     10415.69727 on epoch:     0, epoch:   21/25, mu: 0.8598810434, learning_rate: 0.0000128190, weight_decay: 0.0000620758

epoch time: 1026.8082275391s, input_fired_time: 24.4664039612, output_fired_time: 8.6422004700, propagate_forward_time: 372.6168823242, propagate_backward_time: 606.5518188477, weight_update_time: 0.3865880072, other_time: 14.5308837891
epoch time: 79.4640426636s, input_fired_time: 1.5442227125, output_fired_time: 0.0000000000, propagate_forward_time: 75.3476638794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5721588135
validation[          , genome  6324] predictions:    6030/  10000 (60.30%), best:    6474/10000 (64.74%), error:     11826.41406, best error:     10415.69727 on epoch:     0, epoch:   22/25, mu: 0.8679941893, learning_rate: 0.0000118720, weight_decay: 0.0000585454

epoch time: 985.1909790039s, input_fired_time: 23.3835945129, output_fired_time: 8.1765031815, propagate_forward_time: 358.3453063965, propagate_backward_time: 581.3975219727, weight_update_time: 0.3176279664, other_time: 13.8880004883
epoch time: 75.8145523071s, input_fired_time: 1.4905214310, output_fired_time: 0.0000000000, propagate_forward_time: 71.9063491821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4176788330
validation[          , genome  6324] predictions:    6102/  10000 (61.02%), best:    6474/10000 (64.74%), error:     11610.20996, best error:     10415.69727 on epoch:     0, epoch:   23/25, mu: 0.8756014705, learning_rate: 0.0000109950, weight_decay: 0.0000552159

epoch time: 982.5854492188s, input_fired_time: 23.4740505219, output_fired_time: 8.1501035690, propagate_forward_time: 357.2300109863, propagate_backward_time: 579.8468017578, weight_update_time: 0.3170381486, other_time: 13.8845214844
epoch time: 75.3773956299s, input_fired_time: 1.4599682093, output_fired_time: 0.0000000000, propagate_forward_time: 71.5022964478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4151306152
validation[          , genome  6324] predictions:    6145/  10000 (61.45%), best:    6474/10000 (64.74%), error:     11601.83691, best error:     10415.69727 on epoch:     0, epoch:   24/25, mu: 0.8827344179, learning_rate: 0.0000101827, weight_decay: 0.0000520757

epoch time: 985.7467651367s, input_fired_time: 23.5573654175, output_fired_time: 8.1963396072, propagate_forward_time: 358.1801757813, propagate_backward_time: 581.9523925781, weight_update_time: 0.3147977591, other_time: 13.8604736328
epoch time: 76.0573501587s, input_fired_time: 1.4490264654, output_fired_time: 0.0000000000, propagate_forward_time: 72.3189926147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2893295288
validation[          , genome  6324] predictions:    6165/  10000 (61.65%), best:    6474/10000 (64.74%), error:     11482.17969, best error:     10415.69727 on epoch:     0, epoch:   25/25, mu: 0.8894225955, learning_rate: 0.0000094305, weight_decay: 0.0000491141

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 378.6452331543s, input_fired_time: 7.4048738480, output_fired_time: 0.0000000000, propagate_forward_time: 359.3014526367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9389038086
best training[          , genome  6324] predictions:   35312/  50000 (70.62%), best:    6474/10000 (64.74%), error:     45183.94922, best error:     10415.69727 on epoch:     0, epoch:   26/25, mu: 0.8956937790, learning_rate: 0.0000087338, weight_decay: 0.0000463209
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 75.9202499390s, input_fired_time: 1.4795564413, output_fired_time: 0.0000000000, propagate_forward_time: 72.1445770264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2961196899
   testing[          , genome  6324] predictions:    6474/  10000 (64.74%), best:    6474/10000 (64.74%), error:     10415.69727, best error:     10415.69727 on epoch:     0, epoch:   26/25, mu: 0.8956937790, learning_rate: 0.0000087338, weight_decay: 0.0000463209
backpropagation finished successfully!
03:44:02 (4696): called boinc_finish(0)

</stderr_txt>
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