Nameexact_genome_1542649503_175_6317_1
Workunit4098999
Created19 Nov 2018, 23:44:10 UTC
Sent19 Nov 2018, 23:44:32 UTC
Report deadline19 Jan 2019, 21:48:32 UTC
Received22 Nov 2018, 11:17:32 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID58206
Run time1 days 2 hours 29 min 14 sec
CPU time1 days 1 hours 43 min 4 sec
Validate stateValid
Credit15,229.86
Device peak FLOPS2.94 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Stderr output

<core_client_version>6.10.58</core_client_version>
<![CDATA[
<stderr_txt>
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/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_175_6317.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6317_1_r400455889_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6317.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 50
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: 6317
read normal distribution: '1 -0.0854246988892555 -1.96257185935974'
generator_str: '1595745259'
read generator: 1595745259
read generated_by_map:
1 split_edge 1
reading 93 nodes.
reading 367 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: 0.0684280395507812
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: 1914784277
post shuffle 1: 253844150
epoch time: 2123.54077148438s, input_fired_time: 12.2971229553223, output_fired_time: 13.3742113113403, propagate_forward_time: 919.172241210938, propagate_backward_time: 1140.07836914062, weight_update_time: 5.0978832244873, other_time: 38.6187744140625
epoch time: 189.682205200195s, input_fired_time: 1.52520442008972, output_fired_time: 0, propagate_forward_time: 182.429534912109, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.72746276855469
validation[          , genome  6317] predictions:    5235/  10000 (52.35%), best:    5235/10000 (52.35%), error:     16903.89844, best error:     16903.89844 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

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/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_175_6317.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6317_1_r400455889_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: 0.5245
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.011875
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000475
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: 1
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5235
read best_validation_error: 16903.9
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: 6317
read normal distribution: '1 -0.0854246988892555 -1.96257185935974'
generator_str: '2008381778'
read generator: 2008381778
read generated_by_map:
1 split_edge 1
reading 93 nodes.
reading 367 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
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: 0.0684280395507812
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!
epoch time: 2127.94921875s, input_fired_time: 14.1305456161499, output_fired_time: 11.3211545944214, propagate_forward_time: 921.885375976562, propagate_backward_time: 1148.71301269531, weight_update_time: 3.06356644630432, other_time: 31.899169921875
epoch time: 188.924926757812s, input_fired_time: 1.44524073600769, output_fired_time: 0, propagate_forward_time: 182.850128173828, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.62956237792969
validation[          , genome  6317] predictions:    5236/  10000 (52.36%), best:    5236/10000 (52.36%), error:     15810.45508, best error:     15810.45508 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2124.2541503906s, input_fired_time: 15.0950784683, output_fired_time: 13.2136840820, propagate_forward_time: 928.2027587891, propagate_backward_time: 1136.0146484375, weight_update_time: 4.0689411163, other_time: 31.7281494141
epoch time: 192.3053588867s, input_fired_time: 2.4640932083, output_fired_time: 0.0000000000, propagate_forward_time: 184.0923156738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7489471436
validation[          , genome  6317] predictions:    5180/  10000 (51.80%), best:    5236/10000 (52.36%), error:     16280.90430, best error:     15810.45508 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2126.3649902344s, input_fired_time: 15.0084829330, output_fired_time: 11.3187179565, propagate_forward_time: 916.4584350586, propagate_backward_time: 1152.7092285156, weight_update_time: 3.0701761246, other_time: 30.8701171875
epoch time: 193.0390472412s, input_fired_time: 2.4734141827, output_fired_time: 0.0000000000, propagate_forward_time: 185.8378906250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7277374268
validation[          , genome  6317] predictions:    5321/  10000 (53.21%), best:    5321/10000 (53.21%), error:     15041.57812, best error:     15041.57812 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2116.9741210938s, input_fired_time: 18.4631443024, output_fired_time: 10.3018312454, propagate_forward_time: 920.4133911133, propagate_backward_time: 1133.0225830078, weight_update_time: 4.0732331276, other_time: 34.7733154297
epoch time: 188.9021606445s, input_fired_time: 1.4149369001, output_fired_time: 0.0000000000, propagate_forward_time: 180.8576354980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6295928955
validation[          , genome  6317] predictions:    5179/  10000 (51.79%), best:    5321/10000 (53.21%), error:     15947.08789, best error:     15041.57812 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2124.1071777344s, input_fired_time: 14.2492570877, output_fired_time: 13.2241115570, propagate_forward_time: 931.9899902344, propagate_backward_time: 1132.7678222656, weight_update_time: 4.1475481987, other_time: 31.8759765625
epoch time: 196.1898498535s, input_fired_time: 1.4745374918, output_fired_time: 0.0000000000, propagate_forward_time: 185.9472198486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.7680969238
validation[          , genome  6317] predictions:    5024/  10000 (50.24%), best:    5321/10000 (53.21%), error:     17104.14453, best error:     15041.57812 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2120.8383789062s, input_fired_time: 16.0371475220, output_fired_time: 12.3096456528, propagate_forward_time: 924.6600341797, propagate_backward_time: 1128.4243164062, weight_update_time: 3.0788719654, other_time: 39.4073486328
epoch time: 194.6725616455s, input_fired_time: 1.4476544857, output_fired_time: 0.0000000000, propagate_forward_time: 186.4731140137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7518005371
validation[          , genome  6317] predictions:    5406/  10000 (54.06%), best:    5321/10000 (53.21%), error:     15156.31445, best error:     15041.57812 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2115.0959472656s, input_fired_time: 17.0243835449, output_fired_time: 10.3682317734, propagate_forward_time: 910.7639160156, propagate_backward_time: 1138.9802246094, weight_update_time: 3.0930960178, other_time: 37.9592285156
epoch time: 195.0928344727s, input_fired_time: 1.4347646236, output_fired_time: 0.0000000000, propagate_forward_time: 186.9869995117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6710662842
validation[          , genome  6317] predictions:    5327/  10000 (53.27%), best:    5327/10000 (53.27%), error:     14697.82422, best error:     14697.82422 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2125.9331054688s, input_fired_time: 15.9887752533, output_fired_time: 12.3345823288, propagate_forward_time: 921.6845703125, propagate_backward_time: 1144.1383056641, weight_update_time: 5.0886678696, other_time: 31.7869873047
epoch time: 187.9621734619s, input_fired_time: 1.4062989950, output_fired_time: 0.0000000000, propagate_forward_time: 181.9033966064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6524810791
validation[          , genome  6317] predictions:    5186/  10000 (51.86%), best:    5327/10000 (53.27%), error:     14824.10156, best error:     14697.82422 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2126.0539550781s, input_fired_time: 16.9665508270, output_fired_time: 10.2628974915, propagate_forward_time: 907.2880859375, propagate_backward_time: 1154.6428222656, weight_update_time: 6.0741357803, other_time: 36.8935546875
epoch time: 195.4655303955s, input_fired_time: 1.4950249195, output_fired_time: 0.0000000000, propagate_forward_time: 187.1984252930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7720794678
validation[          , genome  6317] predictions:    5449/  10000 (54.49%), best:    5449/10000 (54.49%), error:     14370.38965, best error:     14370.38965 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2126.8732910156s, input_fired_time: 16.0779285431, output_fired_time: 13.2327947617, propagate_forward_time: 918.0691528320, propagate_backward_time: 1143.7344970703, weight_update_time: 3.0587105751, other_time: 35.7589111328
epoch time: 191.1269836426s, input_fired_time: 2.4707038403, output_fired_time: 0.0000000000, propagate_forward_time: 181.8981323242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7581481934
validation[          , genome  6317] predictions:    5762/  10000 (57.62%), best:    5762/10000 (57.62%), error:     13155.96484, best error:     13155.96484 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2118.0466308594s, input_fired_time: 15.5745105743, output_fired_time: 12.3762865067, propagate_forward_time: 915.4353637695, propagate_backward_time: 1140.4847412109, weight_update_time: 5.0846948624, other_time: 34.1759033203
epoch time: 189.1039581299s, input_fired_time: 1.4360264540, output_fired_time: 0.0000000000, propagate_forward_time: 182.0585327148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6094055176
validation[          , genome  6317] predictions:    4756/  10000 (47.56%), best:    5762/10000 (57.62%), error:     18934.08008, best error:     13155.96484 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2131.3405761719s, input_fired_time: 15.2873191833, output_fired_time: 13.4961605072, propagate_forward_time: 931.3852539062, propagate_backward_time: 1133.7204589844, weight_update_time: 5.2773838043, other_time: 37.4514160156
epoch time: 189.0518341064s, input_fired_time: 1.4032741785, output_fired_time: 0.0000000000, propagate_forward_time: 180.9963226318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6522369385
validation[          , genome  6317] predictions:    5374/  10000 (53.74%), best:    5762/10000 (57.62%), error:     14921.40234, best error:     13155.96484 on epoch:    10, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2114.1447753906s, input_fired_time: 12.1310615540, output_fired_time: 10.2182598114, propagate_forward_time: 919.7969360352, propagate_backward_time: 1136.2918701172, weight_update_time: 3.0653491020, other_time: 35.7066650391
epoch time: 194.8253326416s, input_fired_time: 1.4341918230, output_fired_time: 0.0000000000, propagate_forward_time: 187.6950073242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6961364746
validation[          , genome  6317] predictions:    5610/  10000 (56.10%), best:    5762/10000 (57.62%), error:     13869.61523, best error:     13155.96484 on epoch:    10, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2119.2875976562s, input_fired_time: 16.0013618469, output_fired_time: 11.2785587311, propagate_forward_time: 908.0083007812, propagate_backward_time: 1145.1193847656, weight_update_time: 5.0808234215, other_time: 38.8798828125
epoch time: 195.2241363525s, input_fired_time: 1.4579329491, output_fired_time: 0.0000000000, propagate_forward_time: 186.0609436035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7052612305
validation[          , genome  6317] predictions:    5730/  10000 (57.30%), best:    5762/10000 (57.62%), error:     13246.17676, best error:     13155.96484 on epoch:    10, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2126.7871093750s, input_fired_time: 14.2909526825, output_fired_time: 15.3156690598, propagate_forward_time: 933.1882934570, propagate_backward_time: 1128.7933349609, weight_update_time: 4.0836567879, other_time: 35.1988525391
epoch time: 190.0032501221s, input_fired_time: 1.4445803165, output_fired_time: 0.0000000000, propagate_forward_time: 183.9512634277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6074066162
validation[          , genome  6317] predictions:    5628/  10000 (56.28%), best:    5762/10000 (57.62%), error:     14016.59277, best error:     13155.96484 on epoch:    10, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2117.0771484375s, input_fired_time: 18.1236839294, output_fired_time: 11.1822814941, propagate_forward_time: 918.7831420898, propagate_backward_time: 1133.2225341797, weight_update_time: 4.0654048920, other_time: 35.7652587891
epoch time: 198.7583770752s, input_fired_time: 1.4647176266, output_fired_time: 0.0000000000, propagate_forward_time: 189.6181945801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6754608154
validation[          , genome  6317] predictions:    5676/  10000 (56.76%), best:    5762/10000 (57.62%), error:     13226.19434, best error:     13155.96484 on epoch:    10, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2118.2612304688s, input_fired_time: 13.0252113342, output_fired_time: 12.2886238098, propagate_forward_time: 915.1480102539, propagate_backward_time: 1141.0550537109, weight_update_time: 3.0876741409, other_time: 36.7445068359
epoch time: 191.3550109863s, input_fired_time: 1.4777538776, output_fired_time: 0.0000000000, propagate_forward_time: 181.2032928467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6739654541
validation[          , genome  6317] predictions:    5708/  10000 (57.08%), best:    5762/10000 (57.62%), error:     13615.35547, best error:     13155.96484 on epoch:    10, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2122.8869628906s, input_fired_time: 14.1569519043, output_fired_time: 13.2397432327, propagate_forward_time: 925.9998779297, propagate_backward_time: 1133.6647949219, weight_update_time: 4.0865325928, other_time: 35.8255615234
epoch time: 189.7516479492s, input_fired_time: 1.4484913349, output_fired_time: 0.0000000000, propagate_forward_time: 182.6627807617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6403808594
validation[          , genome  6317] predictions:    5691/  10000 (56.91%), best:    5762/10000 (57.62%), error:     13513.76758, best error:     13155.96484 on epoch:    10, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2113.8884277344s, input_fired_time: 16.1276302338, output_fired_time: 10.5614442825, propagate_forward_time: 910.7714843750, propagate_backward_time: 1132.7436523438, weight_update_time: 3.0782251358, other_time: 43.6840820312
epoch time: 192.8223266602s, input_fired_time: 1.4839599133, output_fired_time: 0.0000000000, propagate_forward_time: 185.6173706055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7209930420
validation[          , genome  6317] predictions:    5829/  10000 (58.29%), best:    5829/10000 (58.29%), error:     12875.20410, best error:     12875.20410 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2123.0791015625s, input_fired_time: 15.1220064163, output_fired_time: 16.3090209961, propagate_forward_time: 924.0897827148, propagate_backward_time: 1131.2778320312, weight_update_time: 6.0902805328, other_time: 36.2802734375
epoch time: 193.9661865234s, input_fired_time: 1.4676238298, output_fired_time: 0.0000000000, propagate_forward_time: 186.7214355469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7771301270
validation[          , genome  6317] predictions:    5793/  10000 (57.93%), best:    5829/10000 (58.29%), error:     13297.97363, best error:     12875.20410 on epoch:    19, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2113.9335937500s, input_fired_time: 17.2105140686, output_fired_time: 13.3537626266, propagate_forward_time: 918.4385375977, propagate_backward_time: 1134.0706787109, weight_update_time: 4.0723171234, other_time: 30.8602294922
epoch time: 191.1342315674s, input_fired_time: 1.5452328920, output_fired_time: 0.0000000000, propagate_forward_time: 182.9099426270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6790618896
validation[          , genome  6317] predictions:    5610/  10000 (56.10%), best:    5829/10000 (58.29%), error:     13621.47363, best error:     12875.20410 on epoch:    19, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2122.5722656250s, input_fired_time: 14.1447687149, output_fired_time: 13.2633247375, propagate_forward_time: 916.7124023438, propagate_backward_time: 1145.6459960938, weight_update_time: 3.0815746784, other_time: 32.8056640625
epoch time: 189.9984436035s, input_fired_time: 1.4635900259, output_fired_time: 0.0000000000, propagate_forward_time: 182.8653411865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6695098877
validation[          , genome  6317] predictions:    5950/  10000 (59.50%), best:    5950/10000 (59.50%), error:     12631.16699, best error:     12631.16699 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 2125.8012695312s, input_fired_time: 18.3429031372, output_fired_time: 12.2802114487, propagate_forward_time: 922.0883178711, propagate_backward_time: 1139.8878173828, weight_update_time: 3.0940098763, other_time: 33.2017822266
epoch time: 191.1411437988s, input_fired_time: 1.4850250483, output_fired_time: 0.0000000000, propagate_forward_time: 184.9236602783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7324523926
validation[          , genome  6317] predictions:    5793/  10000 (57.93%), best:    5950/10000 (59.50%), error:     13017.41211, best error:     12631.16699 on epoch:    22, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2120.5253906250s, input_fired_time: 15.1948661804, output_fired_time: 10.3645257950, propagate_forward_time: 915.6604614258, propagate_backward_time: 1146.3760986328, weight_update_time: 4.0832543373, other_time: 32.9295654297
epoch time: 192.5543975830s, input_fired_time: 2.5130391121, output_fired_time: 0.0000000000, propagate_forward_time: 184.2918853760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7494659424
validation[          , genome  6317] predictions:    5651/  10000 (56.51%), best:    5950/10000 (59.50%), error:     13464.89941, best error:     12631.16699 on epoch:    22, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2126.3454589844s, input_fired_time: 16.2750339508, output_fired_time: 12.3227806091, propagate_forward_time: 919.3906860352, propagate_backward_time: 1150.3773193359, weight_update_time: 4.0651664734, other_time: 27.9796142578
epoch time: 187.0309753418s, input_fired_time: 1.4543018341, output_fired_time: 0.0000000000, propagate_forward_time: 180.9016113281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6750640869
validation[          , genome  6317] predictions:    5879/  10000 (58.79%), best:    5950/10000 (59.50%), error:     13163.81543, best error:     12631.16699 on epoch:    22, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 2114.7036132812s, input_fired_time: 15.2958431244, output_fired_time: 13.0604457855, propagate_forward_time: 919.5742187500, propagate_backward_time: 1134.8041992188, weight_update_time: 3.0762336254, other_time: 31.9687500000
epoch time: 190.7989044189s, input_fired_time: 2.4723238945, output_fired_time: 0.0000000000, propagate_forward_time: 182.6180877686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7084960938
validation[          , genome  6317] predictions:    5746/  10000 (57.46%), best:    5950/10000 (59.50%), error:     13468.58789, best error:     12631.16699 on epoch:    22, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 2123.8894042969s, input_fired_time: 15.2548437119, output_fired_time: 11.3495368958, propagate_forward_time: 916.7078857422, propagate_backward_time: 1147.5607910156, weight_update_time: 4.0702586174, other_time: 33.0162353516
epoch time: 191.8044128418s, input_fired_time: 1.5025827885, output_fired_time: 0.0000000000, propagate_forward_time: 184.4600219727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8418121338
validation[          , genome  6317] predictions:    5854/  10000 (58.54%), best:    5950/10000 (59.50%), error:     13038.29199, best error:     12631.16699 on epoch:    22, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 2122.2358398438s, input_fired_time: 13.2286052704, output_fired_time: 11.4654111862, propagate_forward_time: 927.0062255859, propagate_backward_time: 1136.4541015625, weight_update_time: 5.0997281075, other_time: 34.0816650391
epoch time: 189.0243072510s, input_fired_time: 1.4637238979, output_fired_time: 0.0000000000, propagate_forward_time: 180.9456024170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6149749756
validation[          , genome  6317] predictions:    5502/  10000 (55.02%), best:    5950/10000 (59.50%), error:     14402.99902, best error:     12631.16699 on epoch:    22, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 2121.1435546875s, input_fired_time: 16.2843914032, output_fired_time: 12.4774227142, propagate_forward_time: 917.4480590820, propagate_backward_time: 1139.8063964844, weight_update_time: 4.0912537575, other_time: 35.1271972656
epoch time: 189.2637176514s, input_fired_time: 1.4660147429, output_fired_time: 0.0000000000, propagate_forward_time: 182.8401947021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9575042725
validation[          , genome  6317] predictions:    6010/  10000 (60.10%), best:    5950/10000 (59.50%), error:     12699.03125, best error:     12631.16699 on epoch:    22, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 2124.7939453125s, input_fired_time: 16.2656879425, output_fired_time: 9.3773393631, propagate_forward_time: 920.1828002930, propagate_backward_time: 1148.1650390625, weight_update_time: 3.0735023022, other_time: 30.8029785156
epoch time: 193.1857604980s, input_fired_time: 1.5159993172, output_fired_time: 0.0000000000, propagate_forward_time: 186.9425048828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7272491455
validation[          , genome  6317] predictions:    5891/  10000 (58.91%), best:    5891/10000 (58.91%), error:     12600.65137, best error:     12600.65137 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 2116.1833496094s, input_fired_time: 17.2817497253, output_fired_time: 11.3872928619, propagate_forward_time: 917.7990722656, propagate_backward_time: 1136.8096923828, weight_update_time: 4.0888490677, other_time: 32.9056396484
epoch time: 191.2027435303s, input_fired_time: 1.5230764151, output_fired_time: 0.0000000000, propagate_forward_time: 182.9839477539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6957244873
validation[          , genome  6317] predictions:    5794/  10000 (57.94%), best:    5891/10000 (58.91%), error:     13229.96973, best error:     12600.65137 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 2123.9414062500s, input_fired_time: 12.2528734207, output_fired_time: 11.2497825623, propagate_forward_time: 939.2214965820, propagate_backward_time: 1127.5125732422, weight_update_time: 3.0606472492, other_time: 33.7047119141
epoch time: 192.1110229492s, input_fired_time: 2.5397312641, output_fired_time: 0.0000000000, propagate_forward_time: 184.9445953369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6266937256
validation[          , genome  6317] predictions:    6003/  10000 (60.03%), best:    6003/10000 (60.03%), error:     12370.78613, best error:     12370.78613 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 2121.6662597656s, input_fired_time: 15.2588224411, output_fired_time: 13.2473144531, propagate_forward_time: 919.8738403320, propagate_backward_time: 1142.4257812500, weight_update_time: 4.0652608871, other_time: 30.8605957031
epoch time: 192.4365692139s, input_fired_time: 2.5009195805, output_fired_time: 0.0000000000, propagate_forward_time: 183.1715545654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7640991211
validation[          , genome  6317] predictions:    5887/  10000 (58.87%), best:    6003/10000 (60.03%), error:     12904.40039, best error:     12370.78613 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 2109.8000488281s, input_fired_time: 16.3123588562, output_fired_time: 12.4512958527, propagate_forward_time: 915.6630249023, propagate_backward_time: 1133.4787597656, weight_update_time: 4.0832738876, other_time: 31.8945312500
epoch time: 191.4392242432s, input_fired_time: 1.5205147266, output_fired_time: 0.0000000000, propagate_forward_time: 182.2027893066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7159271240
validation[          , genome  6317] predictions:    5891/  10000 (58.91%), best:    6003/10000 (60.03%), error:     12969.22461, best error:     12370.78613 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 2121.2758789062s, input_fired_time: 16.3231182098, output_fired_time: 10.2146759033, propagate_forward_time: 922.9421997070, propagate_backward_time: 1136.9165039062, weight_update_time: 3.0576810837, other_time: 34.8796386719
epoch time: 191.4810028076s, input_fired_time: 1.5279401541, output_fired_time: 0.0000000000, propagate_forward_time: 185.3035583496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6495056152
validation[          , genome  6317] predictions:    6074/  10000 (60.74%), best:    6074/10000 (60.74%), error:     12313.48730, best error:     12313.48730 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 2114.9436035156s, input_fired_time: 16.2908248901, output_fired_time: 11.2033491135, propagate_forward_time: 925.1088256836, propagate_backward_time: 1131.3391113281, weight_update_time: 3.0785958767, other_time: 31.0014648438
epoch time: 192.6851806641s, input_fired_time: 1.5572714806, output_fired_time: 0.0000000000, propagate_forward_time: 183.4047241211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7231903076
validation[          , genome  6317] predictions:    5961/  10000 (59.61%), best:    6074/10000 (60.74%), error:     12873.35449, best error:     12313.48730 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 2110.8974609375s, input_fired_time: 15.3748235703, output_fired_time: 10.2388906479, propagate_forward_time: 915.3999633789, propagate_backward_time: 1137.0214843750, weight_update_time: 4.0786643028, other_time: 32.8625488281
epoch time: 195.0257568359s, input_fired_time: 1.5291488171, output_fired_time: 0.0000000000, propagate_forward_time: 187.7179870605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7786254883
validation[          , genome  6317] predictions:    6010/  10000 (60.10%), best:    6074/10000 (60.74%), error:     12520.85059, best error:     12313.48730 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 2122.4506835938s, input_fired_time: 15.3109321594, output_fired_time: 11.3295907974, propagate_forward_time: 931.1914672852, propagate_backward_time: 1130.4587402344, weight_update_time: 5.0722393990, other_time: 34.1599121094
epoch time: 194.0708007812s, input_fired_time: 2.5174942017, output_fired_time: 0.0000000000, propagate_forward_time: 182.8636169434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6896972656
validation[          , genome  6317] predictions:    5924/  10000 (59.24%), best:    6074/10000 (60.74%), error:     13094.24512, best error:     12313.48730 on epoch:    35, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 2119.3530273438s, input_fired_time: 15.3409185410, output_fired_time: 12.2792768478, propagate_forward_time: 920.4289550781, propagate_backward_time: 1134.4953613281, weight_update_time: 5.1036610603, other_time: 36.8085937500
epoch time: 188.7059783936s, input_fired_time: 2.5272166729, output_fired_time: 0.0000000000, propagate_forward_time: 178.5459747314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6327819824
validation[          , genome  6317] predictions:    6124/  10000 (61.24%), best:    6124/10000 (61.24%), error:     12111.72266, best error:     12111.72266 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 2158.6882324219s, input_fired_time: 14.4277925491, output_fired_time: 11.2303247452, propagate_forward_time: 912.5678100586, propagate_backward_time: 1185.4672851562, weight_update_time: 5.0972595215, other_time: 34.9951171875
epoch time: 191.7961883545s, input_fired_time: 2.5884795189, output_fired_time: 0.0000000000, propagate_forward_time: 183.4154052734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7922973633
validation[          , genome  6317] predictions:    6097/  10000 (60.97%), best:    6124/10000 (61.24%), error:     12276.21777, best error:     12111.72266 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 2135.3481445312s, input_fired_time: 14.3351850510, output_fired_time: 11.2267179489, propagate_forward_time: 927.6745605469, propagate_backward_time: 1146.3784179688, weight_update_time: 3.0516250134, other_time: 35.7331542969
epoch time: 196.4505462646s, input_fired_time: 1.5623550415, output_fired_time: 0.0000000000, propagate_forward_time: 188.2025604248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6856231689
validation[          , genome  6317] predictions:    6063/  10000 (60.63%), best:    6124/10000 (61.24%), error:     12391.29980, best error:     12111.72266 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 2124.3244628906s, input_fired_time: 14.4579315186, output_fired_time: 12.9177761078, propagate_forward_time: 919.7365722656, propagate_backward_time: 1143.5068359375, weight_update_time: 3.0715789795, other_time: 33.7053222656
epoch time: 196.0406646729s, input_fired_time: 2.5541834831, output_fired_time: 0.0000000000, propagate_forward_time: 187.7286682129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7578125000
validation[          , genome  6317] predictions:    6132/  10000 (61.32%), best:    6132/10000 (61.32%), error:     12052.65723, best error:     12052.65723 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 2138.2468261719s, input_fired_time: 14.4132795334, output_fired_time: 12.2610988617, propagate_forward_time: 926.9245605469, propagate_backward_time: 1145.8439941406, weight_update_time: 6.1100888252, other_time: 38.8039550781
epoch time: 190.7031860352s, input_fired_time: 1.5329688787, output_fired_time: 0.0000000000, propagate_forward_time: 183.1727752686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9974365234
validation[          , genome  6317] predictions:    6074/  10000 (60.74%), best:    6132/10000 (61.32%), error:     12493.14551, best error:     12052.65723 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 2121.1430664062s, input_fired_time: 14.4173927307, output_fired_time: 11.2669410706, propagate_forward_time: 925.3877563477, propagate_backward_time: 1134.7935791016, weight_update_time: 5.1544771194, other_time: 35.2774658203
epoch time: 195.0679626465s, input_fired_time: 1.5978385210, output_fired_time: 0.0000000000, propagate_forward_time: 188.7507629395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7193603516
validation[          , genome  6317] predictions:    6115/  10000 (61.15%), best:    6132/10000 (61.32%), error:     12160.65723, best error:     12052.65723 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 2116.4645996094s, input_fired_time: 15.3346519470, output_fired_time: 14.2091760635, propagate_forward_time: 924.1469116211, propagate_backward_time: 1128.9177246094, weight_update_time: 3.0794391632, other_time: 33.8559570312
epoch time: 192.7256927490s, input_fired_time: 1.5603733063, output_fired_time: 0.0000000000, propagate_forward_time: 185.4836425781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6816711426
validation[          , genome  6317] predictions:    6059/  10000 (60.59%), best:    6132/10000 (61.32%), error:     12365.01953, best error:     12052.65723 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 2117.3986816406s, input_fired_time: 15.4964780807, output_fired_time: 12.2744569778, propagate_forward_time: 915.8004760742, propagate_backward_time: 1143.9741210938, weight_update_time: 3.0614297390, other_time: 29.8530273438
epoch time: 193.1432647705s, input_fired_time: 1.5334378481, output_fired_time: 0.0000000000, propagate_forward_time: 185.9764099121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6334228516
validation[          , genome  6317] predictions:    6102/  10000 (61.02%), best:    6132/10000 (61.32%), error:     12341.65332, best error:     12052.65723 on epoch:    42, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 2123.7424316406s, input_fired_time: 15.5242013931, output_fired_time: 12.8089675903, propagate_forward_time: 925.9912719727, propagate_backward_time: 1133.5322265625, weight_update_time: 7.0803904533, other_time: 35.8857421875
epoch time: 190.3937683105s, input_fired_time: 4.5241551399, output_fired_time: 0.0000000000, propagate_forward_time: 180.2335968018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6360168457
validation[          , genome  6317] predictions:    6076/  10000 (60.76%), best:    6132/10000 (61.32%), error:     12315.72656, best error:     12052.65723 on epoch:    42, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 2116.1679687500s, input_fired_time: 16.5254402161, output_fired_time: 11.2804899216, propagate_forward_time: 929.0920410156, propagate_backward_time: 1127.3559570312, weight_update_time: 3.0838184357, other_time: 31.9140625000
epoch time: 195.6846466064s, input_fired_time: 1.5709995031, output_fired_time: 0.0000000000, propagate_forward_time: 189.3672485352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7463989258
validation[          , genome  6317] predictions:    6095/  10000 (60.95%), best:    6132/10000 (61.32%), error:     12372.50684, best error:     12052.65723 on epoch:    42, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 2129.8522949219s, input_fired_time: 17.4911746979, output_fired_time: 9.3897304535, propagate_forward_time: 927.1453857422, propagate_backward_time: 1142.8515625000, weight_update_time: 3.0853738785, other_time: 32.9744873047
epoch time: 195.5678100586s, input_fired_time: 1.5331116915, output_fired_time: 0.0000000000, propagate_forward_time: 187.3217315674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7129669189
validation[          , genome  6317] predictions:    6226/  10000 (62.26%), best:    6226/10000 (62.26%), error:     11967.87207, best error:     11967.87207 on epoch:    49, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 2124.8945312500s, input_fired_time: 12.4096746445, output_fired_time: 11.4641571045, propagate_forward_time: 935.7419433594, propagate_backward_time: 1135.3137207031, weight_update_time: 3.0872895718, other_time: 29.9650878906
epoch time: 190.0199127197s, input_fired_time: 1.5425432920, output_fired_time: 0.0000000000, propagate_forward_time: 182.8155670166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6618041992
validation[          , genome  6317] predictions:    6183/  10000 (61.83%), best:    6226/10000 (62.26%), error:     12093.94922, best error:     11967.87207 on epoch:    49, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 961.6386108398s, input_fired_time: 10.8445281982, output_fired_time: 0.0000000000, propagate_forward_time: 919.2367553711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 31.5573120117
best training[          , genome  6317] predictions:   38010/  50000 (76.02%), best:    6226/10000 (62.26%), error:     34699.92188, best error:     11967.87207 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 188.4102020264s, input_fired_time: 1.5831161737, output_fired_time: 0.0000000000, propagate_forward_time: 182.1110839844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7160034180
   testing[          , genome  6317] predictions:    6226/  10000 (62.26%), best:    6226/10000 (62.26%), error:     11967.87207, best error:     11967.87207 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
09:09:01 (13508): called boinc_finish(0)

</stderr_txt>
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