Nameexact_genome_1542031203_171_5591_2
Workunit4081374
Created19 Nov 2018, 20:52:03 UTC
Sent19 Nov 2018, 20:52:08 UTC
Report deadline22 Dec 2018, 20:17:16 UTC
Received23 Nov 2018, 5:55:11 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID31505
Run time12 hours 29 min 13 sec
CPU time12 hours 22 min 8 sec
Validate stateValid
Credit8,243.95
Device peak FLOPS4.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size586.91 MB
Peak swap size584.82 MB
Peak disk usage13.79 MB

Stderr output

<core_client_version>7.14.2</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_1542031203_171_5591.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_171_5591_2_r1094511674_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_171_5591.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.49054
read mu: 0.49054
read mu_delta: 0.957898
read initial_learning_rate: 0.000893111
read learning_rate: 0.000893111
read learning_rate_delta: 0.926461
read initial_weight_decay: 0.000226975
read weight_decay: 0.000226975
read weight_decay_delta: 0.941789
read batch_size: 120
read epsilon: 1e-07
read alpha: 0.102457
read input_dropout_probability: 0.00119373
read hidden_dropout_probability: 0.113642
read velocity_reset: 1303
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: 5591
read normal distribution: '1 1.44347321987152 0.431764394044876'
generator_str: '99337282'
read generator: 99337282
read generated_by_map:
1 add_node 1
reading 119 nodes.
reading 470 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: 966904855
post shuffle 1: 1442653251
epoch time: 1573.83264160156s, input_fired_time: 21.7106552124023, output_fired_time: 10.2090520858765, propagate_forward_time: 603.465393066406, propagate_backward_time: 925.323547363281, weight_update_time: 0.349893778562546, other_time: 13.1239013671875
epoch time: 125.03604888916s, input_fired_time: 1.60411596298218, output_fired_time: 0, propagate_forward_time: 121.136184692383, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.29574584960938
validation[          , genome  5591] predictions:    6025/  10000 (60.25%), best:    6025/10000 (60.25%), error:     11725.63770, best error:     11725.63770 on epoch:     0, epoch:    0/25, mu: 0.4905397296, learning_rate: 0.0008931112, weight_decay: 0.0002269751

epoch time: 1572.8687744141s, input_fired_time: 21.7124118805, output_fired_time: 10.2204141617, propagate_forward_time: 602.4675903320, propagate_backward_time: 925.4693603516, weight_update_time: 0.3546737432, other_time: 12.9989624023
epoch time: 125.2011489868s, input_fired_time: 1.6109548807, output_fired_time: 0.0000000000, propagate_forward_time: 121.2723770142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3178176880
validation[          , genome  5591] predictions:    6127/  10000 (61.27%), best:    6127/10000 (61.27%), error:     11277.98926, best error:     11277.98926 on epoch:     1, epoch:    1/25, mu: 0.5115678906, learning_rate: 0.0008274325, weight_decay: 0.0002137627

epoch time: 1575.6301269531s, input_fired_time: 21.7013912201, output_fired_time: 10.2452926636, propagate_forward_time: 603.4645385742, propagate_backward_time: 927.2176513672, weight_update_time: 0.3525999188, other_time: 13.0012817383
epoch time: 125.1875305176s, input_fired_time: 1.6211040020, output_fired_time: 0.0000000000, propagate_forward_time: 121.2569808960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3094482422
validation[          , genome  5591] predictions:    5967/  10000 (59.67%), best:    6127/10000 (61.27%), error:     11702.02832, best error:     11277.98926 on epoch:     1, epoch:    2/25, mu: 0.5317107439, learning_rate: 0.0007665837, weight_decay: 0.0002013194

epoch time: 1582.6707763672s, input_fired_time: 21.8000812531, output_fired_time: 10.2898426056, propagate_forward_time: 606.8315429688, propagate_backward_time: 930.6500854492, weight_update_time: 0.3529859483, other_time: 13.0993041992
epoch time: 125.2190170288s, input_fired_time: 1.6077601910, output_fired_time: 0.0000000000, propagate_forward_time: 121.3103713989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3008880615
validation[          , genome  5591] predictions:    6155/  10000 (61.55%), best:    6155/10000 (61.55%), error:     11189.77539, best error:     11189.77539 on epoch:     3, epoch:    3/25, mu: 0.5510055423, learning_rate: 0.0007102097, weight_decay: 0.0001896005

epoch time: 1580.3295898438s, input_fired_time: 21.7339839935, output_fired_time: 10.2734813690, propagate_forward_time: 606.1629638672, propagate_backward_time: 929.0102539063, weight_update_time: 0.3582314253, other_time: 13.1489257813
epoch time: 125.4937667847s, input_fired_time: 1.6162397861, output_fired_time: 0.0000000000, propagate_forward_time: 121.5825881958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2949371338
validation[          , genome  5591] predictions:    6239/  10000 (62.39%), best:    6239/10000 (62.39%), error:     10893.69629, best error:     10893.69629 on epoch:     4, epoch:    4/25, mu: 0.5694879889, learning_rate: 0.0006579814, weight_decay: 0.0001785637

epoch time: 1573.7147216797s, input_fired_time: 21.7284812927, output_fired_time: 10.2237310410, propagate_forward_time: 602.9853515625, propagate_backward_time: 925.7410278320, weight_update_time: 0.3545857370, other_time: 13.0360717773
epoch time: 125.3533706665s, input_fired_time: 1.6063348055, output_fired_time: 0.0000000000, propagate_forward_time: 121.4367904663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3102416992
validation[          , genome  5591] predictions:    6148/  10000 (61.48%), best:    6239/10000 (62.39%), error:     11138.64258, best error:     10893.69629 on epoch:     4, epoch:    5/25, mu: 0.5871922970, learning_rate: 0.0006095940, weight_decay: 0.0001681694

epoch time: 1574.9882812500s, input_fired_time: 21.6745586395, output_fired_time: 10.2498359680, propagate_forward_time: 603.4271240234, propagate_backward_time: 926.5562133789, weight_update_time: 0.3580630720, other_time: 13.0805053711
epoch time: 125.4306030273s, input_fired_time: 1.6135849953, output_fired_time: 0.0000000000, propagate_forward_time: 121.5057525635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3112640381
validation[          , genome  5591] predictions:    6268/  10000 (62.68%), best:    6268/10000 (62.68%), error:     10841.06445, best error:     10841.06445 on epoch:     6, epoch:    6/25, mu: 0.6041512489, learning_rate: 0.0005647649, weight_decay: 0.0001583801

epoch time: 1572.5889892578s, input_fired_time: 21.6861667633, output_fired_time: 10.2159299850, propagate_forward_time: 602.7786254883, propagate_backward_time: 924.8713989258, weight_update_time: 0.3557340205, other_time: 13.0368652344
epoch time: 125.1767959595s, input_fired_time: 1.6097993851, output_fired_time: 0.0000000000, propagate_forward_time: 121.2464523315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3205413818
validation[          , genome  5591] predictions:    6123/  10000 (61.23%), best:    6268/10000 (62.68%), error:     11120.67871, best error:     10841.06445 on epoch:     6, epoch:    7/25, mu: 0.6203961968, learning_rate: 0.0005232325, weight_decay: 0.0001491607

epoch time: 1574.8712158203s, input_fired_time: 21.7107505798, output_fired_time: 10.2676563263, propagate_forward_time: 603.6729125977, propagate_backward_time: 926.2013549805, weight_update_time: 0.3524146974, other_time: 13.0185546875
epoch time: 125.2106399536s, input_fired_time: 1.6128295660, output_fired_time: 0.0000000000, propagate_forward_time: 121.2684020996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3294067383
validation[          , genome  5591] predictions:    6376/  10000 (63.76%), best:    6376/10000 (63.76%), error:     10627.38965, best error:     10627.38965 on epoch:     8, epoch:    8/25, mu: 0.6359571815, learning_rate: 0.0004847544, weight_decay: 0.0001404779

epoch time: 1570.7886962891s, input_fired_time: 21.6496448517, output_fired_time: 10.2126426697, propagate_forward_time: 601.0491943359, propagate_backward_time: 924.8453979492, weight_update_time: 0.3511733711, other_time: 13.0317993164
epoch time: 124.6496734619s, input_fired_time: 1.6044323444, output_fired_time: 0.0000000000, propagate_forward_time: 120.7597351074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2855072021
validation[          , genome  5591] predictions:    6292/  10000 (62.92%), best:    6376/10000 (63.76%), error:     10711.36816, best error:     10627.38965 on epoch:     8, epoch:    9/25, mu: 0.6508629918, learning_rate: 0.0004491059, weight_decay: 0.0001323006

epoch time: 1568.6378173828s, input_fired_time: 21.7371616364, output_fired_time: 10.1958999634, propagate_forward_time: 600.2344970703, propagate_backward_time: 923.4804687500, weight_update_time: 0.3563168049, other_time: 12.9897460938
epoch time: 124.7072906494s, input_fired_time: 1.6125597954, output_fired_time: 0.0000000000, propagate_forward_time: 120.7963867188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2983474731
validation[          , genome  5591] predictions:    6375/  10000 (63.75%), best:    6375/10000 (63.75%), error:     10516.01074, best error:     10516.01074 on epoch:    10, epoch:   10/25, mu: 0.6651412845, learning_rate: 0.0004160790, weight_decay: 0.0001245993

epoch time: 1566.7534179688s, input_fired_time: 21.6685028076, output_fired_time: 10.2276363373, propagate_forward_time: 599.7390136719, propagate_backward_time: 922.1615600586, weight_update_time: 0.3508627713, other_time: 12.9567260742
epoch time: 124.9597015381s, input_fired_time: 1.6067343950, output_fired_time: 0.0000000000, propagate_forward_time: 121.0515747070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3013916016
validation[          , genome  5591] predictions:    6205/  10000 (62.05%), best:    6375/10000 (63.75%), error:     10989.20801, best error:     10516.01074 on epoch:    10, epoch:   11/25, mu: 0.6788184047, learning_rate: 0.0003854809, weight_decay: 0.0001173463

epoch time: 1566.3977050781s, input_fired_time: 21.6787853241, output_fired_time: 10.1764116287, propagate_forward_time: 600.3430786133, propagate_backward_time: 921.2117309570, weight_update_time: 0.3515623212, other_time: 12.9876708984
epoch time: 124.3366394043s, input_fired_time: 1.6165217161, output_fired_time: 0.0000000000, propagate_forward_time: 120.4375305176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2825851440
validation[          , genome  5591] predictions:    6419/  10000 (64.19%), best:    6375/10000 (63.75%), error:     10590.02246, best error:     10516.01074 on epoch:    10, epoch:   12/25, mu: 0.6919196844, learning_rate: 0.0003571329, weight_decay: 0.0001105155

epoch time: 1567.7390136719s, input_fired_time: 21.6844444275, output_fired_time: 10.1950883865, propagate_forward_time: 600.6127319336, propagate_backward_time: 922.2474975586, weight_update_time: 0.3489955664, other_time: 12.9992675781
epoch time: 124.5354309082s, input_fired_time: 1.6197552681, output_fired_time: 0.0000000000, propagate_forward_time: 120.6180496216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2976226807
validation[          , genome  5591] predictions:    6381/  10000 (63.81%), best:    6381/10000 (63.81%), error:     10471.75684, best error:     10471.75684 on epoch:    13, epoch:   13/25, mu: 0.7044693828, learning_rate: 0.0003308696, weight_decay: 0.0001040823

epoch time: 1565.2666015625s, input_fired_time: 21.6887378693, output_fired_time: 10.1805028915, propagate_forward_time: 599.2657470703, propagate_backward_time: 921.1639404297, weight_update_time: 0.3569534719, other_time: 12.9676513672
epoch time: 124.6174621582s, input_fired_time: 1.6138094664, output_fired_time: 0.0000000000, propagate_forward_time: 120.7160720825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2875823975
validation[          , genome  5591] predictions:    6361/  10000 (63.61%), best:    6381/10000 (63.81%), error:     10639.50684, best error:     10471.75684 on epoch:    13, epoch:   14/25, mu: 0.7164907455, learning_rate: 0.0003065377, weight_decay: 0.0000980236

epoch time: 1569.1424560547s, input_fired_time: 21.7369575500, output_fired_time: 10.2066259384, propagate_forward_time: 600.9399414063, propagate_backward_time: 923.2333374023, weight_update_time: 0.3593749702, other_time: 13.0255737305
epoch time: 124.4582824707s, input_fired_time: 1.6093547344, output_fired_time: 0.0000000000, propagate_forward_time: 120.5432205200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3057098389
validation[          , genome  5591] predictions:    6379/  10000 (63.79%), best:    6381/10000 (63.81%), error:     10518.05664, best error:     10471.75684 on epoch:    13, epoch:   15/25, mu: 0.7280060053, learning_rate: 0.0002839951, weight_decay: 0.0000923176

epoch time: 1565.6542968750s, input_fired_time: 21.6905956268, output_fired_time: 10.1809949875, propagate_forward_time: 599.6059570313, propagate_backward_time: 921.1342773438, weight_update_time: 0.3578212261, other_time: 13.0424804688
epoch time: 124.6507720947s, input_fired_time: 1.6263419390, output_fired_time: 0.0000000000, propagate_forward_time: 120.7205581665, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3038711548
validation[          , genome  5591] predictions:    6385/  10000 (63.85%), best:    6381/10000 (63.81%), error:     10572.08203, best error:     10471.75684 on epoch:    13, epoch:   16/25, mu: 0.7390364408, learning_rate: 0.0002631104, weight_decay: 0.0000869437

epoch time: 1567.0445556641s, input_fired_time: 21.7157478333, output_fired_time: 10.1725835800, propagate_forward_time: 599.8815917969, propagate_backward_time: 922.2723999023, weight_update_time: 0.3490858674, other_time: 13.0022583008
epoch time: 124.9805221558s, input_fired_time: 1.6206336021, output_fired_time: 0.0000000000, propagate_forward_time: 121.0575561523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3023300171
validation[          , genome  5591] predictions:    6336/  10000 (63.36%), best:    6381/10000 (63.81%), error:     10552.51953, best error:     10471.75684 on epoch:    13, epoch:   17/25, mu: 0.7496024370, learning_rate: 0.0002437614, weight_decay: 0.0000818826

epoch time: 1565.9676513672s, input_fired_time: 21.7034606934, output_fired_time: 10.2297477722, propagate_forward_time: 599.3629760742, propagate_backward_time: 921.6441040039, weight_update_time: 0.3522876799, other_time: 13.0273437500
epoch time: 124.3573379517s, input_fired_time: 1.6047351360, output_fired_time: 0.0000000000, propagate_forward_time: 120.4631118774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2894897461
validation[          , genome  5591] predictions:    6283/  10000 (62.83%), best:    6381/10000 (63.81%), error:     10831.15332, best error:     10471.75684 on epoch:    13, epoch:   18/25, mu: 0.7597236037, learning_rate: 0.0002258354, weight_decay: 0.0000771162

epoch time: 1566.8198242188s, input_fired_time: 21.7474708557, output_fired_time: 10.1973314285, propagate_forward_time: 600.3198242188, propagate_backward_time: 921.5238647461, weight_update_time: 0.3531453311, other_time: 13.0313110352
epoch time: 124.7274780273s, input_fired_time: 1.6205495596, output_fired_time: 0.0000000000, propagate_forward_time: 120.8071212769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2998046875
validation[          , genome  5591] predictions:    6368/  10000 (63.68%), best:    6381/10000 (63.81%), error:     10478.59961, best error:     10471.75684 on epoch:    13, epoch:   19/25, mu: 0.7694186568, learning_rate: 0.0002092276, weight_decay: 0.0000726272

epoch time: 1675.0416259766s, input_fired_time: 22.8493003845, output_fired_time: 10.8230428696, propagate_forward_time: 639.7850952148, propagate_backward_time: 988.1276855469, weight_update_time: 0.3740299940, other_time: 13.4566040039
epoch time: 125.8015518188s, input_fired_time: 1.6427232027, output_fired_time: 0.0000000000, propagate_forward_time: 121.8292541504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3295745850
validation[          , genome  5591] predictions:    6383/  10000 (63.83%), best:    6383/10000 (63.83%), error:     10437.44043, best error:     10437.44043 on epoch:    20, epoch:   20/25, mu: 0.7787055373, learning_rate: 0.0001938412, weight_decay: 0.0000683995

epoch time: 1566.2210693359s, input_fired_time: 21.7746753693, output_fired_time: 10.2218866348, propagate_forward_time: 600.2102050781, propagate_backward_time: 921.0462646484, weight_update_time: 0.3502173424, other_time: 12.9680175781
epoch time: 124.5349121094s, input_fired_time: 1.6295062304, output_fired_time: 0.0000000000, propagate_forward_time: 120.5882873535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3171157837
validation[          , genome  5591] predictions:    6481/  10000 (64.81%), best:    6481/10000 (64.81%), error:     10242.13574, best error:     10242.13574 on epoch:    21, epoch:   21/25, mu: 0.7876014113, learning_rate: 0.0001795862, weight_decay: 0.0000644179

epoch time: 1570.6602783203s, input_fired_time: 21.7763881683, output_fired_time: 10.2014493942, propagate_forward_time: 601.9226684570, propagate_backward_time: 923.7312011719, weight_update_time: 0.3581357300, other_time: 13.0286254883
epoch time: 124.7495498657s, input_fired_time: 1.6300605536, output_fired_time: 0.0000000000, propagate_forward_time: 120.8048553467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3146362305
validation[          , genome  5591] predictions:    6431/  10000 (64.31%), best:    6481/10000 (64.81%), error:     10380.44824, best error:     10242.13574 on epoch:    21, epoch:   22/25, mu: 0.7961227298, learning_rate: 0.0001663796, weight_decay: 0.0000606681

epoch time: 1567.3088378906s, input_fired_time: 21.7715530396, output_fired_time: 10.1839714050, propagate_forward_time: 599.9385986328, propagate_backward_time: 922.4430541992, weight_update_time: 0.3522509634, other_time: 12.9716186523
epoch time: 124.7775192261s, input_fired_time: 1.6343899965, output_fired_time: 0.0000000000, propagate_forward_time: 120.8488388062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2942886353
validation[          , genome  5591] predictions:    6474/  10000 (64.74%), best:    6481/10000 (64.81%), error:     10284.01758, best error:     10242.13574 on epoch:    21, epoch:   23/25, mu: 0.8042852879, learning_rate: 0.0001541442, weight_decay: 0.0000571366

epoch time: 1568.5715332031s, input_fired_time: 21.7946071625, output_fired_time: 10.2176513672, propagate_forward_time: 600.8164672852, propagate_backward_time: 922.7199096680, weight_update_time: 0.3549152315, other_time: 13.0229492188
epoch time: 124.7195510864s, input_fired_time: 1.6331634521, output_fired_time: 0.0000000000, propagate_forward_time: 120.7769470215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3094406128
validation[          , genome  5591] predictions:    6571/  10000 (65.71%), best:    6571/10000 (65.71%), error:     10041.57031, best error:     10041.57031 on epoch:    24, epoch:   24/25, mu: 0.8121042252, learning_rate: 0.0001428085, weight_decay: 0.0000538106

epoch time: 1568.2850341797s, input_fired_time: 21.7722263336, output_fired_time: 10.2077617645, propagate_forward_time: 600.2423706055, propagate_backward_time: 923.0175170898, weight_update_time: 0.3560152054, other_time: 13.0451660156
epoch time: 124.5873107910s, input_fired_time: 1.6211565733, output_fired_time: 0.0000000000, propagate_forward_time: 120.6837844849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2823715210
validation[          , genome  5591] predictions:    6281/  10000 (62.81%), best:    6571/10000 (65.71%), error:     10673.40527, best error:     10041.57031 on epoch:    24, epoch:   25/25, mu: 0.8195939660, learning_rate: 0.0001323065, weight_decay: 0.0000506783

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 619.2363281250s, input_fired_time: 8.1273508072, output_fired_time: 0.0000000000, propagate_forward_time: 599.5557250977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5532226563
best training[          , genome  5591] predictions:   35729/  50000 (71.46%), best:    6571/10000 (65.71%), error:     43314.25000, best error:     10041.57031 on epoch:    24, epoch:   26/25, mu: 0.8267683387, learning_rate: 0.0001225768, weight_decay: 0.0000477283
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 124.8217086792s, input_fired_time: 1.6383565664, output_fired_time: 0.0000000000, propagate_forward_time: 120.8892364502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2941131592
   testing[          , genome  5591] predictions:    6571/  10000 (65.71%), best:    6571/10000 (65.71%), error:     10041.57031, best error:     10041.57031 on epoch:    24, epoch:   26/25, mu: 0.8267683387, learning_rate: 0.0001225768, weight_decay: 0.0000477283
backpropagation finished successfully!
14:54:07 (5744): called boinc_finish(0)

</stderr_txt>
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