Nameexact_genome_1512735002_45_23677_1
Workunit2689604
Created18 Dec 2017, 11:53:56 UTC
Sent18 Dec 2017, 12:05:10 UTC
Report deadline12 Feb 2018, 23:12:27 UTC
Received22 Dec 2017, 20:07:22 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID54172
Run time1 days 4 hours 37 min 39 sec
CPU time1 days 4 hours 37 min 1 sec
Validate stateInitial
Credit0.00
Device peak FLOPS3.27 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size170.36 MB
Peak swap size171.98 MB
Peak disk usage3.66 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
rward_time: 70.5879898071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8295211792
validation[          , genome 23677] predictions:    9832/  10000 (98.32%), best:    9869/10000 (98.69%), error:       530.98901, best error:       410.23804 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 949.4320068359s, input_fired_time: 9.9216613770, output_fired_time: 7.3322253227, propagate_forward_time: 359.4206848145, propagate_backward_time: 562.3886108398, weight_update_time: 0.8231692314, other_time: 10.3688354492
epoch time: 73.7301330566s, input_fired_time: 1.0940470695, output_fired_time: 0.0000000000, propagate_forward_time: 70.8242721558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8118133545
validation[          , genome 23677] predictions:    9856/  10000 (98.56%), best:    9869/10000 (98.69%), error:       455.34122, best error:       410.23804 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 948.2423706055s, input_fired_time: 9.8979539871, output_fired_time: 7.3151941299, propagate_forward_time: 359.1095275879, propagate_backward_time: 561.6433105469, weight_update_time: 0.8219458461, other_time: 10.2763671875
epoch time: 74.7786941528s, input_fired_time: 1.0901503563, output_fired_time: 0.0000000000, propagate_forward_time: 71.8766708374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8118743896
validation[          , genome 23677] predictions:    9875/  10000 (98.75%), best:    9869/10000 (98.69%), error:       414.29904, best error:       410.23804 on epoch:    24, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 949.6739501953s, input_fired_time: 9.9391031265, output_fired_time: 7.3653802872, propagate_forward_time: 359.9067077637, propagate_backward_time: 562.2006835938, weight_update_time: 0.8237085938, other_time: 10.2620849609
epoch time: 74.9094085693s, input_fired_time: 1.0912160873, output_fired_time: 0.0000000000, propagate_forward_time: 72.0077590942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8104324341
validation[          , genome 23677] predictions:    9867/  10000 (98.67%), best:    9869/10000 (98.69%), error:       410.79758, best error:       410.23804 on epoch:    24, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 946.7585449219s, input_fired_time: 9.8879556656, output_fired_time: 7.3146805763, propagate_forward_time: 358.9911193848, propagate_backward_time: 560.2850952148, weight_update_time: 0.8225195408, other_time: 10.2797241211
epoch time: 74.8842010498s, input_fired_time: 1.0945452452, output_fired_time: 0.0000000000, propagate_forward_time: 71.9919281006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7977294922
validation[          , genome 23677] predictions:    9868/  10000 (98.68%), best:    9869/10000 (98.69%), error:       449.92850, best error:       410.23804 on epoch:    24, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 949.6047973633s, input_fired_time: 9.9346284866, output_fired_time: 7.3621249199, propagate_forward_time: 359.2625732422, propagate_backward_time: 562.6588134766, weight_update_time: 0.8243086338, other_time: 10.3866577148
epoch time: 74.9371185303s, input_fired_time: 1.1021270752, output_fired_time: 0.0000000000, propagate_forward_time: 72.0131072998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8218841553
validation[          , genome 23677] predictions:    9842/  10000 (98.42%), best:    9869/10000 (98.69%), error:       499.04398, best error:       410.23804 on epoch:    24, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 947.1484375000s, input_fired_time: 9.8999223709, output_fired_time: 7.3189272881, propagate_forward_time: 358.4084167480, propagate_backward_time: 561.2327880859, weight_update_time: 0.8243455887, other_time: 10.2884521484
epoch time: 74.8840866089s, input_fired_time: 1.0962762833, output_fired_time: 0.0000000000, propagate_forward_time: 71.9517211914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8360900879
validation[          , genome 23677] predictions:    9792/  10000 (97.92%), best:    9869/10000 (98.69%), error:       636.57959, best error:       410.23804 on epoch:    24, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 948.2456665039s, input_fired_time: 9.8939914703, output_fired_time: 7.2887949944, propagate_forward_time: 358.3530273438, propagate_backward_time: 562.4144287109, weight_update_time: 0.8226547241, other_time: 10.2954101562
epoch time: 74.8510284424s, input_fired_time: 1.1003550291, output_fired_time: 0.0000000000, propagate_forward_time: 71.9356155396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8150558472
validation[          , genome 23677] predictions:    9865/  10000 (98.65%), best:    9869/10000 (98.69%), error:       412.14868, best error:       410.23804 on epoch:    24, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 950.3541259766s, input_fired_time: 9.9483785629, output_fired_time: 7.3183708191, propagate_forward_time: 359.4508666992, propagate_backward_time: 563.2455444336, weight_update_time: 0.8270455003, other_time: 10.3909912109
epoch time: 75.0701293945s, input_fired_time: 1.1117489338, output_fired_time: 0.0000000000, propagate_forward_time: 72.0914459229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8669357300
validation[          , genome 23677] predictions:    9860/  10000 (98.60%), best:    9869/10000 (98.69%), error:       476.88107, best error:       410.23804 on epoch:    24, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 949.4410400391s, input_fired_time: 9.9083957672, output_fired_time: 7.3387365341, propagate_forward_time: 358.8912048340, propagate_backward_time: 562.9729614258, weight_update_time: 0.8280442953, other_time: 10.3297729492
epoch time: 74.8182907104s, input_fired_time: 1.1046627760, output_fired_time: 0.0000000000, propagate_forward_time: 71.8763122559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8373184204
validation[          , genome 23677] predictions:    9870/  10000 (98.70%), best:    9870/10000 (98.70%), error:       403.57053, best error:       403.57053 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 950.3921508789s, input_fired_time: 9.9268798828, output_fired_time: 7.3158011436, propagate_forward_time: 359.6302185059, propagate_backward_time: 563.1693115234, weight_update_time: 0.8247866631, other_time: 10.3499755859
epoch time: 75.0294952393s, input_fired_time: 1.0995810032, output_fired_time: 0.0000000000, propagate_forward_time: 72.1165771484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8133392334
validation[          , genome 23677] predictions:    9872/  10000 (98.72%), best:    9872/10000 (98.72%), error:       388.51920, best error:       388.51920 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 950.9281005859s, input_fired_time: 9.9407520294, output_fired_time: 7.3115983009, propagate_forward_time: 359.7770385742, propagate_backward_time: 563.5483398438, weight_update_time: 0.8266877532, other_time: 10.3504028320
epoch time: 74.9654693604s, input_fired_time: 1.1009016037, output_fired_time: 0.0000000000, propagate_forward_time: 72.0354919434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8290786743
validation[          , genome 23677] predictions:    9812/  10000 (98.12%), best:    9872/10000 (98.72%), error:       594.50507, best error:       388.51920 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_45_23677.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_45_23677_1_r147178315_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.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: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-05
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: 38
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 36
read number_validation_images: 10000
read best_validation_predictions: 9872
read best_validation_error: 388.519
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: 23677
read normal distribution: '1 0 0'
generator_str: '1847689214'
read generator: 1847689214
read generated_by_map:
1 crossover 1
reading 96 nodes.
reading 356 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 883.50732421875s, input_fired_time: 9.73819923400879, output_fired_time: 7.14545011520386, propagate_forward_time: 333.049743652344, propagate_backward_time: 521.787353515625, weight_update_time: 0.855960965156555, other_time: 11.7865600585938
epoch time: 70.809455871582s, input_fired_time: 1.16174638271332, output_fired_time: 0, propagate_forward_time: 67.6125946044922, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.03511810302734
validation[          , genome 23677] predictions:    9861/  10000 (98.61%), best:    9872/10000 (98.72%), error:       460.21500, best error:       388.51920 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 893.7147216797s, input_fired_time: 9.8017625809, output_fired_time: 7.2302384377, propagate_forward_time: 337.1228027344, propagate_backward_time: 527.8546752930, weight_update_time: 0.8673280478, other_time: 11.7052612305
epoch time: 71.2865982056s, input_fired_time: 1.1447838545, output_fired_time: 0.0000000000, propagate_forward_time: 68.1493988037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9924163818
validation[          , genome 23677] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       369.45407, best error:       369.45407 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 884.7647705078s, input_fired_time: 9.8337230682, output_fired_time: 7.2165489197, propagate_forward_time: 333.2268676758, propagate_backward_time: 522.5864257812, weight_update_time: 0.8537986279, other_time: 11.9011840820
epoch time: 71.2202606201s, input_fired_time: 1.1913219690, output_fired_time: 0.0000000000, propagate_forward_time: 67.8477706909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1811676025
validation[          , genome 23677] predictions:    9864/  10000 (98.64%), best:    9892/10000 (98.92%), error:       422.20621, best error:       369.45407 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 883.3341674805s, input_fired_time: 9.8701753616, output_fired_time: 7.2551870346, propagate_forward_time: 332.3336181641, propagate_backward_time: 521.6120605469, weight_update_time: 0.8778696656, other_time: 12.2631225586
epoch time: 64.4973602295s, input_fired_time: 1.1177054644, output_fired_time: 0.0000000000, propagate_forward_time: 61.1881217957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1915321350
validation[          , genome 23677] predictions:    9854/  10000 (98.54%), best:    9892/10000 (98.92%), error:       421.99866, best error:       369.45407 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_45_23677.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512735002_45_23677_1_r147178315_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.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: 0.933169
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00144978
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.79911e-05
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: 42
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9892
read best_validation_error: 369.454
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: 23677
read normal distribution: '1 0 0'
generator_str: '314789744'
read generator: 314789744
read generated_by_map:
1 crossover 1
reading 96 nodes.
reading 356 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 950.105102539062s, input_fired_time: 9.98226356506348, output_fired_time: 7.32378625869751, propagate_forward_time: 359.555480957031, propagate_backward_time: 562.790588378906, weight_update_time: 0.831060588359833, other_time: 10.4530029296875
epoch time: 72.601318359375s, input_fired_time: 1.07683670520782, output_fired_time: 0, propagate_forward_time: 69.7237701416016, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.80071258544922
validation[          , genome 23677] predictions:    9879/  10000 (98.79%), best:    9892/10000 (98.92%), error:       381.65762, best error:       369.45407 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 943.7791748047s, input_fired_time: 9.9327049255, output_fired_time: 7.3035106659, propagate_forward_time: 357.3072204590, propagate_backward_time: 558.9315795898, weight_update_time: 0.8229385018, other_time: 10.3041381836
epoch time: 74.7892837524s, input_fired_time: 1.1066746712, output_fired_time: 0.0000000000, propagate_forward_time: 71.8569412231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8256683350
validation[          , genome 23677] predictions:    9885/  10000 (98.85%), best:    9892/10000 (98.92%), error:       372.08060, best error:       369.45407 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 949.5000000000s, input_fired_time: 9.9651231766, output_fired_time: 7.3496422768, propagate_forward_time: 359.5549621582, propagate_backward_time: 562.2654418945, weight_update_time: 0.8268499970, other_time: 10.3648071289
epoch time: 74.1920394897s, input_fired_time: 1.1014391184, output_fired_time: 0.0000000000, propagate_forward_time: 71.2675552368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8230438232
validation[          , genome 23677] predictions:    9889/  10000 (98.89%), best:    9892/10000 (98.92%), error:       377.39731, best error:       369.45407 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 948.2322387695s, input_fired_time: 9.9419660568, output_fired_time: 7.3365025520, propagate_forward_time: 358.2686462402, propagate_backward_time: 562.3775634766, weight_update_time: 0.8257894516, other_time: 10.3076171875
epoch time: 74.4285812378s, input_fired_time: 1.1050794125, output_fired_time: 0.0000000000, propagate_forward_time: 71.5156250000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8078765869
validation[          , genome 23677] predictions:    9826/  10000 (98.26%), best:    9892/10000 (98.92%), error:       546.28674, best error:       369.45407 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 949.1934814453s, input_fired_time: 9.9699773788, output_fired_time: 7.3200984001, propagate_forward_time: 358.8461303711, propagate_backward_time: 562.7881469727, weight_update_time: 0.8255158067, other_time: 10.2691650391
epoch time: 74.2148056030s, input_fired_time: 1.0967286825, output_fired_time: 0.0000000000, propagate_forward_time: 71.3071136475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8109664917
validation[          , genome 23677] predictions:    9888/  10000 (98.88%), best:    9888/10000 (98.88%), error:       353.85748, best error:       353.85748 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 938.7984619141s, input_fired_time: 9.8529100418, output_fired_time: 7.1897940636, propagate_forward_time: 356.3492736816, propagate_backward_time: 555.1685180664, weight_update_time: 0.8180925250, other_time: 10.2379760742
epoch time: 73.1812744141s, input_fired_time: 1.0854891539, output_fired_time: 0.0000000000, propagate_forward_time: 70.2916183472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8041687012
validation[          , genome 23677] predictions:    9882/  10000 (98.82%), best:    9888/10000 (98.88%), error:       384.48242, best error:       353.85748 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 921.3121948242s, input_fired_time: 9.7782917023, output_fired_time: 7.1656489372, propagate_forward_time: 349.4824218750, propagate_backward_time: 544.7067260742, weight_update_time: 0.8079752922, other_time: 10.1790771484
epoch time: 73.9155960083s, input_fired_time: 1.0911173820, output_fired_time: 0.0000000000, propagate_forward_time: 71.0261459351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7983322144
validation[          , genome 23677] predictions:    9818/  10000 (98.18%), best:    9888/10000 (98.88%), error:       580.97235, best error:       353.85748 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 920.9899291992s, input_fired_time: 9.7663059235, output_fired_time: 7.1243486404, propagate_forward_time: 349.1007690430, propagate_backward_time: 544.8168334961, weight_update_time: 0.8061071038, other_time: 10.1817016602
epoch time: 70.8626251221s, input_fired_time: 1.0634539127, output_fired_time: 0.0000000000, propagate_forward_time: 68.0295562744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7696151733
validation[          , genome 23677] predictions:    9887/  10000 (98.87%), best:    9888/10000 (98.88%), error:       365.70422, best error:       353.85748 on epoch:    46, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 926.2901611328s, input_fired_time: 9.8027563095, output_fired_time: 7.1851072311, propagate_forward_time: 350.8680114746, propagate_backward_time: 548.2537231445, weight_update_time: 0.8084638715, other_time: 10.1806030273
epoch time: 73.7008209229s, input_fired_time: 1.0864629745, output_fired_time: 0.0000000000, propagate_forward_time: 70.8120880127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8022689819
validation[          , genome 23677] predictions:    9894/  10000 (98.94%), best:    9888/10000 (98.88%), error:       364.89816, best error:       353.85748 on epoch:    46, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 927.9736938477s, input_fired_time: 9.7987422943, output_fired_time: 7.2072324753, propagate_forward_time: 351.2074584961, propagate_backward_time: 549.6167602539, weight_update_time: 0.8087839484, other_time: 10.1434936523
epoch time: 74.8515472412s, input_fired_time: 1.1134816408, output_fired_time: 0.0000000000, propagate_forward_time: 71.9146728516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8233947754
validation[          , genome 23677] predictions:    9892/  10000 (98.92%), best:    9888/10000 (98.88%), error:       370.35785, best error:       353.85748 on epoch:    46, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 947.5977172852s, input_fired_time: 9.9466600418, output_fired_time: 7.2874302864, propagate_forward_time: 359.0692749023, propagate_backward_time: 561.0590820312, weight_update_time: 0.8201003075, other_time: 10.2352905273
epoch time: 74.6258316040s, input_fired_time: 1.0933201313, output_fired_time: 0.0000000000, propagate_forward_time: 71.7509689331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7815399170
validation[          , genome 23677] predictions:    9889/  10000 (98.89%), best:    9888/10000 (98.88%), error:       382.74103, best error:       353.85748 on epoch:    46, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 943.9871826172s, input_fired_time: 9.8834095001, output_fired_time: 7.3080201149, propagate_forward_time: 357.3320922852, propagate_backward_time: 559.2548828125, weight_update_time: 0.8180841804, other_time: 10.2087402344
epoch time: 74.7891235352s, input_fired_time: 1.0998219252, output_fired_time: 0.0000000000, propagate_forward_time: 71.8953704834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7939300537
validation[          , genome 23677] predictions:    9898/  10000 (98.98%), best:    9898/10000 (98.98%), error:       336.91245, best error:       336.91245 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 943.6930541992s, input_fired_time: 9.8848314285, output_fired_time: 7.3100118637, propagate_forward_time: 357.2494201660, propagate_backward_time: 559.0891113281, weight_update_time: 0.8137980700, other_time: 10.1596679688
epoch time: 74.4955062866s, input_fired_time: 1.0900080204, output_fired_time: 0.0000000000, propagate_forward_time: 71.6046905518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8008041382
validation[          , genome 23677] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       330.64728, best error:       330.64728 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 940.9971313477s, input_fired_time: 9.8880462646, output_fired_time: 7.2632293701, propagate_forward_time: 356.3220825195, propagate_backward_time: 557.3813476562, weight_update_time: 0.8119121194, other_time: 10.1423950195
epoch time: 74.2968292236s, input_fired_time: 1.0883648396, output_fired_time: 0.0000000000, propagate_forward_time: 71.4032135010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8052520752
validation[          , genome 23677] predictions:    9898/  10000 (98.98%), best:    9903/10000 (99.03%), error:       355.29846, best error:       330.64728 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 940.8977661133s, input_fired_time: 9.8789653778, output_fired_time: 7.2913784981, propagate_forward_time: 356.1593933105, propagate_backward_time: 557.4284667969, weight_update_time: 0.8142078519, other_time: 10.1395263672
epoch time: 74.8063964844s, input_fired_time: 1.1000642776, output_fired_time: 0.0000000000, propagate_forward_time: 71.8749618530, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8313674927
validation[          , genome 23677] predictions:    9885/  10000 (98.85%), best:    9903/10000 (99.03%), error:       367.95813, best error:       330.64728 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 945.9160766602s, input_fired_time: 9.9111270905, output_fired_time: 7.2735438347, propagate_forward_time: 358.2353820801, propagate_backward_time: 560.3289794922, weight_update_time: 0.8123700619, other_time: 10.1669921875
epoch time: 74.2660751343s, input_fired_time: 1.0902817249, output_fired_time: 0.0000000000, propagate_forward_time: 71.3731918335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8026046753
validation[          , genome 23677] predictions:    9888/  10000 (98.88%), best:    9903/10000 (99.03%), error:       333.75604, best error:       330.64728 on epoch:    54, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 946.2431640625s, input_fired_time: 9.9090204239, output_fired_time: 7.2632784843, propagate_forward_time: 358.6419677734, propagate_backward_time: 560.2921752930, weight_update_time: 0.8150838017, other_time: 10.1367187500
epoch time: 74.8085861206s, input_fired_time: 1.1019369364, output_fired_time: 0.0000000000, propagate_forward_time: 71.8697586060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8368911743
validation[          , genome 23677] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       345.19141, best error:       330.64728 on epoch:    54, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 943.7761840820s, input_fired_time: 9.8958530426, output_fired_time: 7.2714605331, propagate_forward_time: 357.2525024414, propagate_backward_time: 559.2030639648, weight_update_time: 0.8139793277, other_time: 10.1532592773
epoch time: 72.7262420654s, input_fired_time: 1.0781413317, output_fired_time: 0.0000000000, propagate_forward_time: 69.8630523682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7850494385
validation[          , genome 23677] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       346.92569, best error:       330.64728 on epoch:    54, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 918.8982543945s, input_fired_time: 9.7287397385, output_fired_time: 7.1411285400, propagate_forward_time: 348.0603637695, propagate_backward_time: 543.9941406250, weight_update_time: 0.8009706736, other_time: 9.9738769531
epoch time: 73.6345672607s, input_fired_time: 1.0858533382, output_fired_time: 0.0000000000, propagate_forward_time: 70.7590332031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7896804810
validation[          , genome 23677] predictions:    9896/  10000 (98.96%), best:    9903/10000 (99.03%), error:       333.56427, best error:       330.64728 on epoch:    54, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 932.0794677734s, input_fired_time: 9.8443193436, output_fired_time: 7.2122778893, propagate_forward_time: 352.5790710449, propagate_backward_time: 552.3668212891, weight_update_time: 0.8134713769, other_time: 10.0770263672
epoch time: 73.9514923096s, input_fired_time: 1.1005227566, output_fired_time: 0.0000000000, propagate_forward_time: 71.0437164307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8072509766
validation[          , genome 23677] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       314.11206, best error:       314.11206 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 933.8648071289s, input_fired_time: 9.8551464081, output_fired_time: 7.2014794350, propagate_forward_time: 353.1902160645, propagate_backward_time: 553.4969482422, weight_update_time: 0.8118809462, other_time: 10.1209716797
epoch time: 74.7233810425s, input_fired_time: 1.1014775038, output_fired_time: 0.0000000000, propagate_forward_time: 71.8082275391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8136749268
validation[          , genome 23677] predictions:    9881/  10000 (98.81%), best:    9902/10000 (99.02%), error:       361.91571, best error:       314.11206 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 945.7816772461s, input_fired_time: 9.9146184921, output_fired_time: 7.2297449112, propagate_forward_time: 358.0173034668, propagate_backward_time: 560.4506835938, weight_update_time: 0.8129097223, other_time: 10.1693115234
epoch time: 74.6759185791s, input_fired_time: 1.1019798517, output_fired_time: 0.0000000000, propagate_forward_time: 71.7662963867, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8076400757
validation[          , genome 23677] predictions:    9887/  10000 (98.87%), best:    9902/10000 (99.02%), error:       380.14899, best error:       314.11206 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 945.7771606445s, input_fired_time: 9.9661054611, output_fired_time: 7.2918410301, propagate_forward_time: 357.7455444336, propagate_backward_time: 560.6378784180, weight_update_time: 0.8144940138, other_time: 10.1357421875
epoch time: 74.4121475220s, input_fired_time: 1.1003943682, output_fired_time: 0.0000000000, propagate_forward_time: 71.4905471802, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8212051392
validation[          , genome 23677] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       311.41968, best error:       311.41968 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 936.1376342773s, input_fired_time: 9.8624601364, output_fired_time: 7.1871962547, propagate_forward_time: 354.7944335938, propagate_backward_time: 554.1456909180, weight_update_time: 0.8075920939, other_time: 10.1478271484
epoch time: 72.5921783447s, input_fired_time: 1.0762975216, output_fired_time: 0.0000000000, propagate_forward_time: 69.7289047241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7869796753
validation[          , genome 23677] predictions:    9916/  10000 (99.16%), best:    9916/10000 (99.16%), error:       308.98230, best error:       308.98230 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 930.6580810547s, input_fired_time: 9.7943515778, output_fired_time: 7.1917576790, propagate_forward_time: 352.2550048828, propagate_backward_time: 551.3209838867, weight_update_time: 0.8143442869, other_time: 10.0959472656
epoch time: 72.6436233521s, input_fired_time: 1.0785361528, output_fired_time: 0.0000000000, propagate_forward_time: 69.7895660400, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7755203247
validation[          , genome 23677] predictions:    9892/  10000 (98.92%), best:    9916/10000 (99.16%), error:       343.51160, best error:       308.98230 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 934.6953735352s, input_fired_time: 9.8487892151, output_fired_time: 7.2269687653, propagate_forward_time: 354.3080139160, propagate_backward_time: 553.1725463867, weight_update_time: 0.8085562587, other_time: 10.1389770508
epoch time: 72.2717208862s, input_fired_time: 1.1005964279, output_fired_time: 0.0000000000, propagate_forward_time: 69.3735809326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7975463867
validation[          , genome 23677] predictions:    9899/  10000 (98.99%), best:    9916/10000 (99.16%), error:       315.50711, best error:       308.98230 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 942.2280883789s, input_fired_time: 9.9118423462, output_fired_time: 7.2851262093, propagate_forward_time: 356.8778991699, propagate_backward_time: 557.9895629883, weight_update_time: 0.8143972158, other_time: 10.1636352539
epoch time: 74.8041458130s, input_fired_time: 1.1057091951, output_fired_time: 0.0000000000, propagate_forward_time: 71.8795242310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8189086914
validation[          , genome 23677] predictions:    9910/  10000 (99.10%), best:    9916/10000 (99.16%), error:       312.97760, best error:       308.98230 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 947.5640258789s, input_fired_time: 9.9652824402, output_fired_time: 7.3280529976, propagate_forward_time: 358.5986022949, propagate_backward_time: 561.5000610352, weight_update_time: 0.8181639314, other_time: 10.1720581055
epoch time: 74.5942993164s, input_fired_time: 1.0976512432, output_fired_time: 0.0000000000, propagate_forward_time: 71.6906661987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8059844971
validation[          , genome 23677] predictions:    9893/  10000 (98.93%), best:    9916/10000 (99.16%), error:       341.53500, best error:       308.98230 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 948.6999511719s, input_fired_time: 9.9676752090, output_fired_time: 7.3482723236, propagate_forward_time: 358.9989929199, propagate_backward_time: 562.2407836914, weight_update_time: 0.8164310455, other_time: 10.1442260742
epoch time: 74.7128295898s, input_fired_time: 1.1029182673, output_fired_time: 0.0000000000, propagate_forward_time: 71.8339157104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7759933472
validation[          , genome 23677] predictions:    9903/  10000 (99.03%), best:    9916/10000 (99.16%), error:       331.69217, best error:       308.98230 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 928.5503540039s, input_fired_time: 9.7866096497, output_fired_time: 7.1549825668, propagate_forward_time: 351.5480651855, propagate_backward_time: 550.0631713867, weight_update_time: 0.8071011901, other_time: 9.9974975586
epoch time: 73.7983169556s, input_fired_time: 1.0882576704, output_fired_time: 0.0000000000, propagate_forward_time: 70.9186401367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7914199829
validation[          , genome 23677] predictions:    9909/  10000 (99.09%), best:    9909/10000 (99.09%), error:       304.77939, best error:       304.77939 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 939.6852416992s, input_fired_time: 9.9056682587, output_fired_time: 7.2516555786, propagate_forward_time: 355.7655944824, propagate_backward_time: 556.5833129883, weight_update_time: 0.8110147119, other_time: 10.1790161133
epoch time: 74.6598281860s, input_fired_time: 1.0996975899, output_fired_time: 0.0000000000, propagate_forward_time: 71.7646942139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7954330444
validation[          , genome 23677] predictions:    9906/  10000 (99.06%), best:    9909/10000 (99.09%), error:       310.05692, best error:       304.77939 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 943.0419311523s, input_fired_time: 9.9176464081, output_fired_time: 7.3107204437, propagate_forward_time: 357.0943603516, propagate_backward_time: 558.5757446289, weight_update_time: 0.8139092326, other_time: 10.1434326172
epoch time: 73.9144287109s, input_fired_time: 1.0959444046, output_fired_time: 0.0000000000, propagate_forward_time: 71.0049972534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8134841919
validation[          , genome 23677] predictions:    9895/  10000 (98.95%), best:    9909/10000 (99.09%), error:       338.27216, best error:       304.77939 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 937.2055664062s, input_fired_time: 9.8440980911, output_fired_time: 7.2061200142, propagate_forward_time: 355.4088745117, propagate_backward_time: 554.6232299805, weight_update_time: 0.8087192178, other_time: 10.1232299805
epoch time: 73.7560653687s, input_fired_time: 1.0936918259, output_fired_time: 0.0000000000, propagate_forward_time: 70.8609848022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8013916016
validation[          , genome 23677] predictions:    9914/  10000 (99.14%), best:    9909/10000 (99.09%), error:       308.50076, best error:       304.77939 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 938.0679321289s, input_fired_time: 9.8631858826, output_fired_time: 7.2150144577, propagate_forward_time: 354.8124389648, propagate_backward_time: 556.0405273438, weight_update_time: 0.8087759018, other_time: 10.1367797852
epoch time: 74.6722335815s, input_fired_time: 1.1057796478, output_fired_time: 0.0000000000, propagate_forward_time: 71.7451324463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8213195801
validation[          , genome 23677] predictions:    9902/  10000 (99.02%), best:    9909/10000 (99.09%), error:       338.91315, best error:       304.77939 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 944.9035034180s, input_fired_time: 9.9153709412, output_fired_time: 7.2399215698, propagate_forward_time: 357.7752380371, propagate_backward_time: 559.8472900391, weight_update_time: 0.8128130436, other_time: 10.1257324219
epoch time: 74.7841567993s, input_fired_time: 1.1051632166, output_fired_time: 0.0000000000, propagate_forward_time: 71.8756484985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8033447266
validation[          , genome 23677] predictions:    9902/  10000 (99.02%), best:    9909/10000 (99.09%), error:       333.27130, best error:       304.77939 on epoch:    71, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 948.2698364258s, input_fired_time: 9.9585762024, output_fired_time: 7.2894940376, propagate_forward_time: 359.2465515137, propagate_backward_time: 561.6271362305, weight_update_time: 0.8146173954, other_time: 10.1481323242
epoch time: 74.8072433472s, input_fired_time: 1.1043699980, output_fired_time: 0.0000000000, propagate_forward_time: 71.9101486206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7927246094
validation[          , genome 23677] predictions:    9916/  10000 (99.16%), best:    9916/10000 (99.16%), error:       302.70010, best error:       302.70010 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 950.9332275391s, input_fired_time: 9.9914236069, output_fired_time: 7.3366770744, propagate_forward_time: 359.7702331543, propagate_backward_time: 563.6558837891, weight_update_time: 0.8202691078, other_time: 10.1790771484
epoch time: 74.7903442383s, input_fired_time: 1.1036927700, output_fired_time: 0.0000000000, propagate_forward_time: 71.8661956787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8204574585
validation[          , genome 23677] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       301.58218, best error:       301.58218 on epoch:    78, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 946.6215209961s, input_fired_time: 9.9494686127, output_fired_time: 7.2830691338, propagate_forward_time: 358.6719665527, propagate_backward_time: 560.6245117188, weight_update_time: 0.8157349825, other_time: 10.0925292969
epoch time: 72.5293579102s, input_fired_time: 1.0772184134, output_fired_time: 0.0000000000, propagate_forward_time: 69.6725463867, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7795944214
validation[          , genome 23677] predictions:    9900/  10000 (99.00%), best:    9905/10000 (99.05%), error:       313.36377, best error:       301.58218 on epoch:    78, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 941.0758056641s, input_fired_time: 9.9284934998, output_fired_time: 7.2803964615, propagate_forward_time: 356.1885375977, propagate_backward_time: 557.5198364258, weight_update_time: 0.8118727803, other_time: 10.1585693359
epoch time: 74.4186401367s, input_fired_time: 1.1013016701, output_fired_time: 0.0000000000, propagate_forward_time: 71.4971084595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8202285767
validation[          , genome 23677] predictions:    9907/  10000 (99.07%), best:    9907/10000 (99.07%), error:       299.02847, best error:       299.02847 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 946.3917846680s, input_fired_time: 9.9736614227, output_fired_time: 7.3354315758, propagate_forward_time: 358.2397155762, propagate_backward_time: 560.6913452148, weight_update_time: 0.8160839677, other_time: 10.1516723633
epoch time: 74.3676147461s, input_fired_time: 1.1030164957, output_fired_time: 0.0000000000, propagate_forward_time: 71.4598464966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8047485352
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9907/10000 (99.07%), error:       303.47543, best error:       299.02847 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 943.9625244141s, input_fired_time: 9.9242267609, output_fired_time: 7.2506713867, propagate_forward_time: 358.0044860840, propagate_backward_time: 558.6881103516, weight_update_time: 0.8140432239, other_time: 10.0949707031
epoch time: 74.8329620361s, input_fired_time: 1.1051419973, output_fired_time: 0.0000000000, propagate_forward_time: 71.9166183472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8112030029
validation[          , genome 23677] predictions:    9907/  10000 (99.07%), best:    9907/10000 (99.07%), error:       315.56006, best error:       299.02847 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 948.9353027344s, input_fired_time: 9.9870214462, output_fired_time: 7.3115639687, propagate_forward_time: 359.2900695801, propagate_backward_time: 562.1319580078, weight_update_time: 0.8178877831, other_time: 10.2147216797
epoch time: 72.9896087646s, input_fired_time: 1.0886417627, output_fired_time: 0.0000000000, propagate_forward_time: 70.1241531372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7768173218
validation[          , genome 23677] predictions:    9893/  10000 (98.93%), best:    9907/10000 (99.07%), error:       336.05966, best error:       299.02847 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 948.6082153320s, input_fired_time: 9.9692411423, output_fired_time: 7.2862548828, propagate_forward_time: 359.2060241699, propagate_backward_time: 562.0156860352, weight_update_time: 0.8169947267, other_time: 10.1310424805
epoch time: 75.0197372437s, input_fired_time: 1.1082881689, output_fired_time: 0.0000000000, propagate_forward_time: 72.0842208862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8272247314
validation[          , genome 23677] predictions:    9911/  10000 (99.11%), best:    9911/10000 (99.11%), error:       293.34375, best error:       293.34375 on epoch:    84, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 947.9266357422s, input_fired_time: 9.9916648865, output_fired_time: 7.3253450394, propagate_forward_time: 358.9240722656, propagate_backward_time: 561.4651489258, weight_update_time: 0.8175778985, other_time: 10.2204589844
epoch time: 74.8438720703s, input_fired_time: 1.1051733494, output_fired_time: 0.0000000000, propagate_forward_time: 71.9294204712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8092803955
validation[          , genome 23677] predictions:    9910/  10000 (99.10%), best:    9911/10000 (99.11%), error:       296.20306, best error:       293.34375 on epoch:    84, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 925.6308593750s, input_fired_time: 9.8342628479, output_fired_time: 7.1532344818, propagate_forward_time: 349.9518737793, propagate_backward_time: 548.7211914062, weight_update_time: 0.8073062301, other_time: 9.9702148438
epoch time: 74.8809814453s, input_fired_time: 1.1096804142, output_fired_time: 0.0000000000, propagate_forward_time: 71.9432907104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8280105591
validation[          , genome 23677] predictions:    9909/  10000 (99.09%), best:    9911/10000 (99.11%), error:       296.91739, best error:       293.34375 on epoch:    84, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 946.9221801758s, input_fired_time: 9.9004764557, output_fired_time: 7.1399736404, propagate_forward_time: 357.9561462402, propagate_backward_time: 561.7689208984, weight_update_time: 0.8174008727, other_time: 10.1567382812
epoch time: 74.8690719604s, input_fired_time: 1.1041547060, output_fired_time: 0.0000000000, propagate_forward_time: 71.9572372437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8076782227
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9911/10000 (99.11%), error:       303.98566, best error:       293.34375 on epoch:    84, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 949.7022094727s, input_fired_time: 9.9938240051, output_fired_time: 7.3498287201, propagate_forward_time: 359.4015197754, propagate_backward_time: 562.8015136719, weight_update_time: 0.8169228435, other_time: 10.1555175781
epoch time: 74.8510131836s, input_fired_time: 1.1069604158, output_fired_time: 0.0000000000, propagate_forward_time: 71.9335250854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8105239868
validation[          , genome 23677] predictions:    9904/  10000 (99.04%), best:    9911/10000 (99.11%), error:       303.28339, best error:       293.34375 on epoch:    84, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 950.0326538086s, input_fired_time: 9.9970932007, output_fired_time: 7.3372535706, propagate_forward_time: 359.8051452637, propagate_backward_time: 562.7283325195, weight_update_time: 0.8153287172, other_time: 10.1648559570
epoch time: 73.5705413818s, input_fired_time: 1.0937254429, output_fired_time: 0.0000000000, propagate_forward_time: 70.6749725342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8018417358
validation[          , genome 23677] predictions:    9914/  10000 (99.14%), best:    9911/10000 (99.11%), error:       294.15622, best error:       293.34375 on epoch:    84, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 946.3029174805s, input_fired_time: 9.9646348953, output_fired_time: 7.3376855850, propagate_forward_time: 357.9074401855, propagate_backward_time: 560.9216918945, weight_update_time: 0.8158185482, other_time: 10.1714477539
epoch time: 74.4327468872s, input_fired_time: 1.1001290083, output_fired_time: 0.0000000000, propagate_forward_time: 71.5269775391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8056411743
validation[          , genome 23677] predictions:    9904/  10000 (99.04%), best:    9911/10000 (99.11%), error:       322.19910, best error:       293.34375 on epoch:    84, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 942.9339599609s, input_fired_time: 9.9487676620, output_fired_time: 7.3111300468, propagate_forward_time: 356.4668579102, propagate_backward_time: 559.0266723633, weight_update_time: 0.8149405718, other_time: 10.1804809570
epoch time: 74.4703292847s, input_fired_time: 1.1044335365, output_fired_time: 0.0000000000, propagate_forward_time: 71.5407180786, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8251800537
validation[          , genome 23677] predictions:    9911/  10000 (99.11%), best:    9911/10000 (99.11%), error:       302.42178, best error:       293.34375 on epoch:    84, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 943.8368530273s, input_fired_time: 9.9298877716, output_fired_time: 7.2758159637, propagate_forward_time: 357.2276611328, propagate_backward_time: 559.2032470703, weight_update_time: 0.8462032676, other_time: 10.2002563477
epoch time: 74.4049224854s, input_fired_time: 1.1079814434, output_fired_time: 0.0000000000, propagate_forward_time: 71.4694366455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8275070190
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9911/10000 (99.11%), error:       303.98605, best error:       293.34375 on epoch:    84, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 947.3833618164s, input_fired_time: 9.9586191177, output_fired_time: 7.3083395958, propagate_forward_time: 358.1844177246, propagate_backward_time: 561.7291259766, weight_update_time: 0.8149462938, other_time: 10.2028808594
epoch time: 74.5981750488s, input_fired_time: 1.1073561907, output_fired_time: 0.0000000000, propagate_forward_time: 71.6849136353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8059082031
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9911/10000 (99.11%), error:       299.38165, best error:       293.34375 on epoch:    84, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 946.6842041016s, input_fired_time: 9.9777135849, output_fired_time: 7.3098931313, propagate_forward_time: 358.7043457031, propagate_backward_time: 560.5079956055, weight_update_time: 0.8145930171, other_time: 10.1842651367
epoch time: 74.8644714355s, input_fired_time: 1.1094276905, output_fired_time: 0.0000000000, propagate_forward_time: 71.9547348022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8003082275
validation[          , genome 23677] predictions:    9909/  10000 (99.09%), best:    9911/10000 (99.11%), error:       301.00793, best error:       293.34375 on epoch:    84, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 948.5327758789s, input_fired_time: 9.9952020645, output_fired_time: 7.3050775528, propagate_forward_time: 359.1800842285, propagate_backward_time: 561.8468017578, weight_update_time: 0.8177102208, other_time: 10.2056884766
epoch time: 75.0166549683s, input_fired_time: 1.1131546497, output_fired_time: 0.0000000000, propagate_forward_time: 72.0828857422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8206176758
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9911/10000 (99.11%), error:       297.33231, best error:       293.34375 on epoch:    84, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 946.9144897461s, input_fired_time: 9.9793720245, output_fired_time: 7.3121032715, propagate_forward_time: 358.1758117676, propagate_backward_time: 561.3027954102, weight_update_time: 0.8173449039, other_time: 10.1444702148
epoch time: 74.4470596313s, input_fired_time: 1.1052879095, output_fired_time: 0.0000000000, propagate_forward_time: 71.5369033813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8048706055
validation[          , genome 23677] predictions:    9913/  10000 (99.13%), best:    9911/10000 (99.11%), error:       299.40372, best error:       293.34375 on epoch:    84, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 944.5023193359s, input_fired_time: 9.9483566284, output_fired_time: 7.2603611946, propagate_forward_time: 357.7699279785, propagate_backward_time: 559.3655395508, weight_update_time: 0.8148761392, other_time: 10.1581420898
epoch time: 74.9906768799s, input_fired_time: 1.1110987663, output_fired_time: 0.0000000000, propagate_forward_time: 72.0502243042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8293533325
validation[          , genome 23677] predictions:    9908/  10000 (99.08%), best:    9911/10000 (99.11%), error:       296.49448, best error:       293.34375 on epoch:    84, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 952.5435180664s, input_fired_time: 10.0517482758, output_fired_time: 7.3909468651, propagate_forward_time: 360.0975952148, propagate_backward_time: 564.8112182617, weight_update_time: 0.8210300803, other_time: 10.1920166016
epoch time: 74.9362564087s, input_fired_time: 1.1137657166, output_fired_time: 0.0000000000, propagate_forward_time: 72.0055084229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8169860840
validation[          , genome 23677] predictions:    9912/  10000 (99.12%), best:    9911/10000 (99.11%), error:       298.33182, best error:       293.34375 on epoch:    84, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 950.5550537109s, input_fired_time: 10.0060024261, output_fired_time: 7.3098497391, propagate_forward_time: 360.0187988281, propagate_backward_time: 563.0495605469, weight_update_time: 0.8193655610, other_time: 10.1708374023
epoch time: 74.9076461792s, input_fired_time: 1.1115548611, output_fired_time: 0.0000000000, propagate_forward_time: 71.9799499512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8161392212
validation[          , genome 23677] predictions:    9904/  10000 (99.04%), best:    9911/10000 (99.11%), error:       295.12274, best error:       293.34375 on epoch:    84, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 950.5632934570s, input_fired_time: 10.0018739700, output_fired_time: 7.3054509163, propagate_forward_time: 359.9200744629, propagate_backward_time: 563.1567993164, weight_update_time: 0.8163750172, other_time: 10.1790161133
epoch time: 74.8647994995s, input_fired_time: 1.1161500216, output_fired_time: 0.0000000000, propagate_forward_time: 71.9218521118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8267974854
validation[          , genome 23677] predictions:    9910/  10000 (99.10%), best:    9911/10000 (99.11%), error:       297.83835, best error:       293.34375 on epoch:    84, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 373.8931579590s, input_fired_time: 5.5904598236, output_fired_time: 0.0000000000, propagate_forward_time: 359.2114868164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.0912170410
best training[          , genome 23677] predictions:   50000/  50000 (100.00%), best:    9911/10000 (99.11%), error:       105.79964, best error:       293.34375 on epoch:    84, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 74.6945266724s, input_fired_time: 1.1032085419, output_fired_time: 0.0000000000, propagate_forward_time: 71.7655487061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8257675171
   testing[          , genome 23677] predictions:    9919/  10000 (99.19%), best:    9911/10000 (99.11%), error:       254.43718, best error:       293.34375 on epoch:    84, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
04:07:04 (61414): called boinc_finish(0)

</stderr_txt>
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