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output_reuters.txt
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output_reuters.txt
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Using TensorFlow backend.
Loading data...
8982 train sequences
2246 test sequences
46 classes
[ 3 4 3 ... 25 3 25]
Vectorizing sequence data...
x_train shape: (8982, 1000)
x_test shape: (2246, 1000)
Convert class vector to binary class matrix (for use with categorical_crossentropy)
y_train shape: (8982, 46)
y_test shape: (2246, 46)
Train on 8083 samples, validate on 899 samples
Epoch 1/5
2019-05-01 11:15:59.129356: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2
8083/8083 [==============================] - 8s 951us/step - loss: 11.7891 - acc: 0.0577 - val_loss: 12.6856 - val_acc: 0.0245
Epoch 2/5
8083/8083 [==============================] - 7s 908us/step - loss: 11.0942 - acc: 0.0294 - val_loss: 9.0444 - val_acc: 0.0423
Epoch 3/5
8083/8083 [==============================] - 7s 885us/step - loss: 10.0933 - acc: 0.0469 - val_loss: 12.4481 - val_acc: 0.0501
Epoch 4/5
8083/8083 [==============================] - 7s 909us/step - loss: 9.8759 - acc: 0.0555 - val_loss: 5.2496 - val_acc: 0.0545
Epoch 5/5
8083/8083 [==============================] - 7s 892us/step - loss: 10.0904 - acc: 0.0575 - val_loss: 11.1168 - val_acc: 0.0534
2246/2246 [==============================] - 0s 173us/step
Test score: 10.80780690924355
Test accuracy: 0.052983081032947466
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 913us/step - loss: 12.0640 - acc: 0.3488 - val_loss: 12.4479 - val_acc: 0.3526
Epoch 2/5
8083/8083 [==============================] - 7s 914us/step - loss: 11.1535 - acc: 0.4417 - val_loss: 12.8042 - val_acc: 0.4816
Epoch 3/5
8083/8083 [==============================] - 7s 915us/step - loss: 9.9016 - acc: 0.5060 - val_loss: 8.5342 - val_acc: 0.4928
Epoch 4/5
8083/8083 [==============================] - 7s 928us/step - loss: 10.9881 - acc: 0.5108 - val_loss: 12.0858 - val_acc: 0.4939
Epoch 5/5
8083/8083 [==============================] - 7s 872us/step - loss: 9.2603 - acc: 0.5153 - val_loss: 8.4276 - val_acc: 0.4983
2246/2246 [==============================] - 0s 188us/step
Test score: 7.952142326298932
Test accuracy: 0.493766696349065
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 853us/step - loss: 10.6666 - acc: 0.2269 - val_loss: 10.2089 - val_acc: 0.2280
Epoch 2/5
8083/8083 [==============================] - 7s 822us/step - loss: 10.2435 - acc: 0.2260 - val_loss: 8.7875 - val_acc: 0.2280
Epoch 3/5
8083/8083 [==============================] - 6s 779us/step - loss: 10.1132 - acc: 0.2268 - val_loss: 10.2914 - val_acc: 0.2269
Epoch 4/5
8083/8083 [==============================] - 6s 777us/step - loss: 10.1087 - acc: 0.2273 - val_loss: 10.1480 - val_acc: 0.2314
Epoch 5/5
8083/8083 [==============================] - 7s 827us/step - loss: 9.2077 - acc: 0.2299 - val_loss: 8.0704 - val_acc: 0.2291
2246/2246 [==============================] - 0s 171us/step
Test score: 7.644499539692064
Test accuracy: 0.2195013357079252
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 890us/step - loss: 11.0781 - acc: 0.4785 - val_loss: 10.8614 - val_acc: 0.5261
Epoch 2/5
8083/8083 [==============================] - 7s 862us/step - loss: 9.8658 - acc: 0.4231 - val_loss: 8.8904 - val_acc: 0.3304
Epoch 3/5
8083/8083 [==============================] - 7s 853us/step - loss: 9.6077 - acc: 0.3077 - val_loss: 9.3190 - val_acc: 0.2959
Epoch 4/5
8083/8083 [==============================] - 7s 850us/step - loss: 9.1494 - acc: 0.2991 - val_loss: 9.0260 - val_acc: 0.2903
Epoch 5/5
8083/8083 [==============================] - 7s 856us/step - loss: 8.3212 - acc: 0.2978 - val_loss: 9.4139 - val_acc: 0.2825
2246/2246 [==============================] - 0s 201us/step
Test score: 9.224324570313588
Test accuracy: 0.26758682101513803
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 894us/step - loss: 11.0873 - acc: 0.3606 - val_loss: 10.8341 - val_acc: 0.3626
Epoch 2/5
8083/8083 [==============================] - 7s 843us/step - loss: 10.1778 - acc: 0.3903 - val_loss: 10.5262 - val_acc: 0.3682
Epoch 3/5
8083/8083 [==============================] - 7s 887us/step - loss: 9.4877 - acc: 0.4005 - val_loss: 9.9921 - val_acc: 0.3726
Epoch 4/5
8083/8083 [==============================] - 7s 872us/step - loss: 9.1252 - acc: 0.3141 - val_loss: 10.9377 - val_acc: 0.2725
Epoch 5/5
8083/8083 [==============================] - 7s 850us/step - loss: 10.6312 - acc: 0.2839 - val_loss: 11.6179 - val_acc: 0.2347
2246/2246 [==============================] - 0s 166us/step
Test score: 11.941701201169701
Test accuracy: 0.25155832593927185
generation 0is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 884us/step - loss: 10.7559 - acc: 0.2059 - val_loss: 11.0166 - val_acc: 0.3248
Epoch 2/5
8083/8083 [==============================] - 7s 834us/step - loss: 9.3127 - acc: 0.3572 - val_loss: 9.1879 - val_acc: 0.3326
Epoch 3/5
8083/8083 [==============================] - 7s 817us/step - loss: 9.1932 - acc: 0.3600 - val_loss: 8.3203 - val_acc: 0.3326
Epoch 4/5
8083/8083 [==============================] - 7s 842us/step - loss: 8.8815 - acc: 0.3605 - val_loss: 9.0382 - val_acc: 0.3315
Epoch 5/5
8083/8083 [==============================] - 7s 864us/step - loss: 8.2146 - acc: 0.3621 - val_loss: 8.3611 - val_acc: 0.3315
2246/2246 [==============================] - 0s 199us/step
Test score: 7.939354952593945
Test accuracy: 0.37043633130864173
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 10.5830 - acc: 0.1753 - val_loss: 11.8595 - val_acc: 0.2225
Epoch 2/5
8083/8083 [==============================] - 8s 937us/step - loss: 10.4727 - acc: 0.2107 - val_loss: 9.1625 - val_acc: 0.2225
Epoch 3/5
8083/8083 [==============================] - 8s 953us/step - loss: 9.6792 - acc: 0.2096 - val_loss: 11.3161 - val_acc: 0.2225
Epoch 4/5
8083/8083 [==============================] - 8s 966us/step - loss: 9.7886 - acc: 0.2135 - val_loss: 11.6898 - val_acc: 0.2225
Epoch 5/5
8083/8083 [==============================] - 8s 976us/step - loss: 9.5277 - acc: 0.2139 - val_loss: 9.5382 - val_acc: 0.2225
2246/2246 [==============================] - 0s 206us/step
Test score: 9.889184511036929
Test accuracy: 0.21104185218165628
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 999us/step - loss: 11.4619 - acc: 0.3333 - val_loss: 12.7368 - val_acc: 0.3927
Epoch 2/5
8083/8083 [==============================] - 7s 927us/step - loss: 11.1397 - acc: 0.3726 - val_loss: 10.6276 - val_acc: 0.4138
Epoch 3/5
8083/8083 [==============================] - 8s 953us/step - loss: 10.1753 - acc: 0.3929 - val_loss: 9.7694 - val_acc: 0.4038
Epoch 4/5
8083/8083 [==============================] - 8s 964us/step - loss: 9.7311 - acc: 0.4020 - val_loss: 10.9840 - val_acc: 0.3949
Epoch 5/5
8083/8083 [==============================] - 8s 960us/step - loss: 9.6732 - acc: 0.3974 - val_loss: 11.9641 - val_acc: 0.3871
2246/2246 [==============================] - 0s 217us/step
Test score: 11.394530569774597
Test accuracy: 0.4065004452890513
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 928us/step - loss: 3.8972 - acc: 0.3650 - val_loss: 3.9614 - val_acc: 0.3648
Epoch 2/5
8083/8083 [==============================] - 8s 947us/step - loss: nan - acc: 0.3886 - val_loss: 3.6348 - val_acc: 0.3737
Epoch 3/5
8083/8083 [==============================] - 8s 933us/step - loss: nan - acc: 0.4787 - val_loss: nan - val_acc: 0.3693
Epoch 4/5
8083/8083 [==============================] - 8s 936us/step - loss: nan - acc: 0.4017 - val_loss: nan - val_acc: 0.3982
Epoch 5/5
8083/8083 [==============================] - 8s 969us/step - loss: nan - acc: 0.5257 - val_loss: nan - val_acc: 0.6641
2246/2246 [==============================] - 0s 182us/step
Test score: nan
Test accuracy: 0.6731967943009796
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 1.5224 - acc: 0.6589 - val_loss: 1.1561 - val_acc: 0.7542
Epoch 2/5
8083/8083 [==============================] - 8s 931us/step - loss: 0.9139 - acc: 0.7863 - val_loss: 0.9710 - val_acc: 0.7842
Epoch 3/5
8083/8083 [==============================] - 8s 951us/step - loss: 0.7049 - acc: 0.8315 - val_loss: 0.9062 - val_acc: 0.7898
Epoch 4/5
8083/8083 [==============================] - 7s 911us/step - loss: 0.5693 - acc: 0.8583 - val_loss: 0.8619 - val_acc: 0.8065
Epoch 5/5
8083/8083 [==============================] - 8s 952us/step - loss: 0.4619 - acc: 0.8835 - val_loss: 0.8738 - val_acc: 0.8053
2246/2246 [==============================] - 0s 198us/step
Test score: 0.8425541393266441
Test accuracy: 0.8032056990204809
generation 1is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 917us/step - loss: 11.8727 - acc: 0.4381 - val_loss: 10.6108 - val_acc: 0.4305
Epoch 2/5
8083/8083 [==============================] - 7s 877us/step - loss: 9.3556 - acc: 0.4313 - val_loss: 10.6166 - val_acc: 0.4093
Epoch 3/5
8083/8083 [==============================] - 7s 891us/step - loss: 9.1166 - acc: 0.4372 - val_loss: 9.3630 - val_acc: 0.4127
Epoch 4/5
8083/8083 [==============================] - 7s 880us/step - loss: 8.9792 - acc: 0.4361 - val_loss: 10.9008 - val_acc: 0.4127
Epoch 5/5
8083/8083 [==============================] - 7s 867us/step - loss: 10.5407 - acc: 0.4224 - val_loss: 9.5220 - val_acc: 0.3960
2246/2246 [==============================] - 0s 183us/step
Test score: 9.429805653496501
Test accuracy: 0.4140694568651867
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.2291 - acc: 0.0569 - val_loss: 11.0370 - val_acc: 0.0545
Epoch 2/5
8083/8083 [==============================] - 8s 981us/step - loss: 9.4576 - acc: 0.0948 - val_loss: 8.6080 - val_acc: 0.0756
Epoch 3/5
8083/8083 [==============================] - 8s 959us/step - loss: 9.5433 - acc: 0.1069 - val_loss: 11.7081 - val_acc: 0.0912
Epoch 4/5
8083/8083 [==============================] - 8s 950us/step - loss: 9.6702 - acc: 0.1063 - val_loss: 11.7447 - val_acc: 0.1313
Epoch 5/5
8083/8083 [==============================] - 8s 951us/step - loss: 10.6125 - acc: 0.1084 - val_loss: 9.0505 - val_acc: 0.1713
2246/2246 [==============================] - 1s 239us/step
Test score: 8.961923104147772
Test accuracy: 0.1616206589492431
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: nan - acc: 0.5701 - val_loss: nan - val_acc: 0.7152
Epoch 2/5
8083/8083 [==============================] - 8s 952us/step - loss: nan - acc: 0.7367 - val_loss: nan - val_acc: 0.7397
Epoch 3/5
8083/8083 [==============================] - 7s 922us/step - loss: nan - acc: 0.7442 - val_loss: nan - val_acc: 0.7486
Epoch 4/5
8083/8083 [==============================] - 7s 926us/step - loss: nan - acc: 0.7647 - val_loss: nan - val_acc: 0.7497
Epoch 5/5
8083/8083 [==============================] - 8s 944us/step - loss: nan - acc: 0.7756 - val_loss: nan - val_acc: 0.7564
2246/2246 [==============================] - 0s 186us/step
Test score: nan
Test accuracy: 0.7497773820655429
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: nan - acc: 0.5884 - val_loss: nan - val_acc: 0.7208
Epoch 2/5
8083/8083 [==============================] - 8s 942us/step - loss: nan - acc: 0.7439 - val_loss: nan - val_acc: 0.7353
Epoch 3/5
8083/8083 [==============================] - 8s 938us/step - loss: nan - acc: 0.7517 - val_loss: nan - val_acc: 0.6429
Epoch 4/5
8083/8083 [==============================] - 8s 960us/step - loss: nan - acc: 0.7481 - val_loss: nan - val_acc: 0.6107
Epoch 5/5
8083/8083 [==============================] - 8s 963us/step - loss: nan - acc: 0.7492 - val_loss: nan - val_acc: 0.7208
2246/2246 [==============================] - 1s 235us/step
Test score: nan
Test accuracy: 0.7235084595366026
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 1.9907 - acc: 0.5122 - val_loss: 1.3633 - val_acc: 0.6941
Epoch 2/5
8083/8083 [==============================] - 8s 941us/step - loss: 1.2630 - acc: 0.7109 - val_loss: 1.1394 - val_acc: 0.7408
Epoch 3/5
8083/8083 [==============================] - 8s 938us/step - loss: 1.0379 - acc: 0.7610 - val_loss: 1.0407 - val_acc: 0.7709
Epoch 4/5
8083/8083 [==============================] - 8s 937us/step - loss: 0.9071 - acc: 0.7847 - val_loss: 0.9644 - val_acc: 0.7842
Epoch 5/5
8083/8083 [==============================] - 8s 936us/step - loss: 0.8080 - acc: 0.8045 - val_loss: 0.9137 - val_acc: 0.7920
2246/2246 [==============================] - 0s 194us/step
Test score: 0.8972341721331766
Test accuracy: 0.7827248441939468
generation 2is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 973us/step - loss: 11.0794 - acc: 0.3876 - val_loss: 8.8721 - val_acc: 0.4082
Epoch 2/5
8083/8083 [==============================] - 7s 865us/step - loss: 9.7078 - acc: 0.4284 - val_loss: 7.6116 - val_acc: 0.4205
Epoch 3/5
8083/8083 [==============================] - 7s 859us/step - loss: 9.3985 - acc: 0.4401 - val_loss: 10.4572 - val_acc: 0.4216
Epoch 4/5
8083/8083 [==============================] - 7s 867us/step - loss: 9.4384 - acc: 0.4445 - val_loss: 7.7279 - val_acc: 0.4283
Epoch 5/5
8083/8083 [==============================] - 7s 880us/step - loss: 8.7118 - acc: 0.3855 - val_loss: 7.7152 - val_acc: 0.2158
2246/2246 [==============================] - 0s 204us/step
Test score: 7.814429968250509
Test accuracy: 0.24755120216367082
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 10.7123 - acc: 0.0673 - val_loss: 8.9645 - val_acc: 0.0456
Epoch 2/5
8083/8083 [==============================] - 7s 841us/step - loss: 10.1817 - acc: 0.0484 - val_loss: 11.6183 - val_acc: 0.0679
Epoch 3/5
8083/8083 [==============================] - 7s 840us/step - loss: 10.2700 - acc: 0.0636 - val_loss: 10.8649 - val_acc: 0.0067
Epoch 4/5
8083/8083 [==============================] - 7s 913us/step - loss: 9.7188 - acc: 0.0259 - val_loss: 11.4091 - val_acc: 0.0100
Epoch 5/5
8083/8083 [==============================] - 7s 906us/step - loss: 8.8269 - acc: 0.0195 - val_loss: 6.4717 - val_acc: 0.0145
2246/2246 [==============================] - 0s 207us/step
Test score: 5.964506592160341
Test accuracy: 0.01647373107747106
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 1.2130 - acc: 0.7349 - val_loss: 0.9519 - val_acc: 0.7898
Epoch 2/5
8083/8083 [==============================] - 8s 930us/step - loss: 0.6097 - acc: 0.8604 - val_loss: 0.8739 - val_acc: 0.8042
Epoch 3/5
8083/8083 [==============================] - 8s 947us/step - loss: 0.4116 - acc: 0.9044 - val_loss: 0.8577 - val_acc: 0.8098
Epoch 4/5
8083/8083 [==============================] - 8s 939us/step - loss: 0.3040 - acc: 0.9258 - val_loss: 0.9270 - val_acc: 0.8053
Epoch 5/5
8083/8083 [==============================] - 8s 945us/step - loss: 0.2529 - acc: 0.9372 - val_loss: 0.9537 - val_acc: 0.8065
2246/2246 [==============================] - 0s 216us/step
Test score: 0.9417603092329478
Test accuracy: 0.782279608192342
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 10.3464 - acc: 0.2254 - val_loss: 3.6762 - val_acc: 0.2214
Epoch 2/5
8083/8083 [==============================] - 8s 951us/step - loss: 8.4649 - acc: 0.2190 - val_loss: 7.3335 - val_acc: 0.2225
Epoch 3/5
8083/8083 [==============================] - 8s 950us/step - loss: 8.2494 - acc: 0.2184 - val_loss: 13.4302 - val_acc: 0.2236
Epoch 4/5
8083/8083 [==============================] - 8s 949us/step - loss: 9.7663 - acc: 0.2211 - val_loss: 13.6980 - val_acc: 0.2236
Epoch 5/5
8083/8083 [==============================] - 8s 962us/step - loss: 8.8494 - acc: 0.2212 - val_loss: 13.4352 - val_acc: 0.2247
2246/2246 [==============================] - 0s 212us/step
Test score: 13.14677920812809
Test accuracy: 0.21237756010685663
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.4099 - acc: 0.3608 - val_loss: 10.9506 - val_acc: 0.4149
Epoch 2/5
8083/8083 [==============================] - 8s 959us/step - loss: 10.2477 - acc: 0.4787 - val_loss: 8.6652 - val_acc: 0.4761
Epoch 3/5
8083/8083 [==============================] - 8s 963us/step - loss: 8.9771 - acc: 0.5281 - val_loss: 10.0173 - val_acc: 0.5095
Epoch 4/5
8083/8083 [==============================] - 8s 937us/step - loss: 9.7788 - acc: 0.5229 - val_loss: 9.4071 - val_acc: 0.5384
Epoch 5/5
8083/8083 [==============================] - 7s 874us/step - loss: 9.0877 - acc: 0.5684 - val_loss: 6.9471 - val_acc: 0.5362
2246/2246 [==============================] - 0s 219us/step
Test score: 6.748655331952171
Test accuracy: 0.5512021371326803
generation 3is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 7s 881us/step - loss: 10.8405 - acc: 0.3663 - val_loss: 10.4271 - val_acc: 0.3181
Epoch 2/5
8083/8083 [==============================] - 7s 816us/step - loss: 10.2713 - acc: 0.3163 - val_loss: 9.6047 - val_acc: 0.3014
Epoch 3/5
8083/8083 [==============================] - 7s 824us/step - loss: 9.6580 - acc: 0.3212 - val_loss: 10.8492 - val_acc: 0.3148
Epoch 4/5
8083/8083 [==============================] - 7s 844us/step - loss: 9.9821 - acc: 0.3199 - val_loss: 9.1012 - val_acc: 0.3092
Epoch 5/5
8083/8083 [==============================] - 7s 843us/step - loss: 8.7932 - acc: 0.3199 - val_loss: 8.4857 - val_acc: 0.3103
2246/2246 [==============================] - 0s 221us/step
Test score: 8.064225612107071
Test accuracy: 0.3236865539000911
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.5672 - acc: 0.0202 - val_loss: 12.8730 - val_acc: 0.0189
Epoch 2/5
8083/8083 [==============================] - 8s 930us/step - loss: 7.8305 - acc: 0.0174 - val_loss: 7.0461 - val_acc: 0.0289
Epoch 3/5
8083/8083 [==============================] - 7s 909us/step - loss: 7.2368 - acc: 0.0366 - val_loss: 7.8931 - val_acc: 0.0723
Epoch 4/5
8083/8083 [==============================] - 7s 910us/step - loss: 7.9024 - acc: 0.0518 - val_loss: 8.7782 - val_acc: 0.0378
Epoch 5/5
8083/8083 [==============================] - 8s 930us/step - loss: 7.5229 - acc: 0.0313 - val_loss: 5.2875 - val_acc: 0.0089
2246/2246 [==============================] - 0s 207us/step
Test score: 5.493177028394446
Test accuracy: 0.012021371326803205
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.1596 - acc: 0.3532 - val_loss: 12.4227 - val_acc: 0.3493
Epoch 2/5
8083/8083 [==============================] - 7s 888us/step - loss: 10.5290 - acc: 0.3646 - val_loss: 11.7114 - val_acc: 0.3326
Epoch 3/5
8083/8083 [==============================] - 7s 905us/step - loss: 9.0922 - acc: 0.3704 - val_loss: 8.5500 - val_acc: 0.3504
Epoch 4/5
8083/8083 [==============================] - 7s 904us/step - loss: 8.8234 - acc: 0.3864 - val_loss: 7.4144 - val_acc: 0.3804
Epoch 5/5
8083/8083 [==============================] - 8s 931us/step - loss: 8.6606 - acc: 0.3930 - val_loss: 9.3790 - val_acc: 0.3793
2246/2246 [==============================] - 0s 202us/step
Test score: 9.619045254171478
Test accuracy: 0.40293855748851704
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 4.0797 - acc: 0.3559 - val_loss: 4.0655 - val_acc: 0.3582
Epoch 2/5
8083/8083 [==============================] - 8s 932us/step - loss: nan - acc: 0.5779 - val_loss: nan - val_acc: 0.7041
Epoch 3/5
8083/8083 [==============================] - 8s 963us/step - loss: nan - acc: 0.6752 - val_loss: 3.7699 - val_acc: 0.6118
Epoch 4/5
8083/8083 [==============================] - 7s 926us/step - loss: nan - acc: 0.6882 - val_loss: nan - val_acc: 0.7008
Epoch 5/5
8083/8083 [==============================] - 8s 960us/step - loss: nan - acc: 0.7032 - val_loss: nan - val_acc: 0.7075
2246/2246 [==============================] - 1s 227us/step
Test score: nan
Test accuracy: 0.7025823686553874
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.9125 - acc: 0.1351 - val_loss: 10.4914 - val_acc: 0.0389
Epoch 2/5
8083/8083 [==============================] - 7s 899us/step - loss: 11.5117 - acc: 0.2186 - val_loss: 11.8091 - val_acc: 0.2013
Epoch 3/5
8083/8083 [==============================] - 7s 873us/step - loss: 11.0535 - acc: 0.2847 - val_loss: 11.7349 - val_acc: 0.2703
Epoch 4/5
8083/8083 [==============================] - 7s 812us/step - loss: 10.9269 - acc: 0.3156 - val_loss: 10.0469 - val_acc: 0.2736
Epoch 5/5
8083/8083 [==============================] - 6s 802us/step - loss: 10.5606 - acc: 0.2926 - val_loss: 10.6585 - val_acc: 0.2603
2246/2246 [==============================] - 1s 223us/step
Test score: 10.381212588621905
Test accuracy: 0.2956366874443455
generation 4is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 983us/step - loss: 12.0917 - acc: 0.0774 - val_loss: 11.0804 - val_acc: 0.0857
Epoch 2/5
8083/8083 [==============================] - 7s 827us/step - loss: 9.5858 - acc: 0.0791 - val_loss: 10.7638 - val_acc: 0.0278
Epoch 3/5
8083/8083 [==============================] - 7s 864us/step - loss: 9.5324 - acc: 0.0259 - val_loss: 6.8131 - val_acc: 0.0289
Epoch 4/5
8083/8083 [==============================] - 7s 859us/step - loss: 9.5902 - acc: 0.0296 - val_loss: 11.8897 - val_acc: 0.0345
Epoch 5/5
8083/8083 [==============================] - 7s 858us/step - loss: 9.6963 - acc: 0.0349 - val_loss: 11.0622 - val_acc: 0.0389
2246/2246 [==============================] - 0s 203us/step
Test score: 11.038348900242141
Test accuracy: 0.031166518254674976
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 8.4666 - acc: 0.1370 - val_loss: 10.8584 - val_acc: 0.3315
Epoch 2/5
8083/8083 [==============================] - 7s 907us/step - loss: 8.2215 - acc: 0.2419 - val_loss: 11.9501 - val_acc: 0.3315
Epoch 3/5
8083/8083 [==============================] - 7s 880us/step - loss: 7.7625 - acc: 0.2672 - val_loss: 11.9171 - val_acc: 0.3315
Epoch 4/5
8083/8083 [==============================] - 7s 894us/step - loss: 7.5123 - acc: 0.2869 - val_loss: 12.1231 - val_acc: 0.3693
Epoch 5/5
8083/8083 [==============================] - 8s 938us/step - loss: 7.4422 - acc: 0.2902 - val_loss: 12.4728 - val_acc: 0.4638
2246/2246 [==============================] - 0s 206us/step
Test score: 12.488701553718384
Test accuracy: 0.4835262689756052
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 1.7584 - acc: 0.5972 - val_loss: 1.2678 - val_acc: 0.7230
Epoch 2/5
8083/8083 [==============================] - 8s 933us/step - loss: 1.1684 - acc: 0.7287 - val_loss: 1.0763 - val_acc: 0.7597
Epoch 3/5
8083/8083 [==============================] - 7s 907us/step - loss: 0.9509 - acc: 0.7762 - val_loss: 0.9801 - val_acc: 0.7798
Epoch 4/5
8083/8083 [==============================] - 7s 911us/step - loss: 0.8084 - acc: 0.8023 - val_loss: 0.9276 - val_acc: 0.7853
Epoch 5/5
8083/8083 [==============================] - 8s 950us/step - loss: 0.7111 - acc: 0.8278 - val_loss: 0.8854 - val_acc: 0.7964
2246/2246 [==============================] - 1s 223us/step
Test score: 0.8599915578762336
Test accuracy: 0.7969723953695459
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 1.7996 - acc: 0.5729 - val_loss: 1.2148 - val_acc: 0.7330
Epoch 2/5
8083/8083 [==============================] - 7s 914us/step - loss: 1.0896 - acc: 0.7472 - val_loss: 1.0194 - val_acc: 0.7731
Epoch 3/5
8083/8083 [==============================] - 8s 940us/step - loss: 0.8731 - acc: 0.7897 - val_loss: 0.9405 - val_acc: 0.7898
Epoch 4/5
8083/8083 [==============================] - 7s 927us/step - loss: 0.7433 - acc: 0.8147 - val_loss: 0.8744 - val_acc: 0.7987
Epoch 5/5
8083/8083 [==============================] - 8s 954us/step - loss: 0.6432 - acc: 0.8353 - val_loss: 0.8627 - val_acc: 0.8065
2246/2246 [==============================] - 0s 216us/step
Test score: 0.8394686588727249
Test accuracy: 0.8000890471950134
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.1687 - acc: 0.2728 - val_loss: 12.9492 - val_acc: 0.4772
Epoch 2/5
8083/8083 [==============================] - 7s 927us/step - loss: 9.0079 - acc: 0.2735 - val_loss: 13.0054 - val_acc: 0.3949
Epoch 3/5
8083/8083 [==============================] - 7s 927us/step - loss: 8.5270 - acc: 0.2523 - val_loss: 12.1512 - val_acc: 0.2636
Epoch 4/5
8083/8083 [==============================] - 8s 930us/step - loss: 8.2806 - acc: 0.2785 - val_loss: 12.8524 - val_acc: 0.5284
Epoch 5/5
8083/8083 [==============================] - 7s 916us/step - loss: 8.4195 - acc: 0.3166 - val_loss: 12.9138 - val_acc: 0.5806
2246/2246 [==============================] - 1s 224us/step
Test score: 12.547341457139352
Test accuracy: 0.5814781834637599
generation 5is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 11.0051 - acc: 0.2236 - val_loss: 10.0091 - val_acc: 0.2314
Epoch 2/5
8083/8083 [==============================] - 7s 854us/step - loss: 10.4323 - acc: 0.1472 - val_loss: 8.4199 - val_acc: 0.0245
Epoch 3/5
8083/8083 [==============================] - 7s 852us/step - loss: 9.5201 - acc: 0.0272 - val_loss: 9.8270 - val_acc: 0.0389
Epoch 4/5
8083/8083 [==============================] - 7s 827us/step - loss: 9.5459 - acc: 0.0388 - val_loss: 10.7959 - val_acc: 0.0512
Epoch 5/5
8083/8083 [==============================] - 7s 859us/step - loss: 9.8024 - acc: 0.0525 - val_loss: 10.4011 - val_acc: 0.0612
2246/2246 [==============================] - 0s 205us/step
Test score: 10.665655349262675
Test accuracy: 0.06277827248441674
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.9239 - acc: 0.1100 - val_loss: 11.4827 - val_acc: 0.3137
Epoch 2/5
8083/8083 [==============================] - 7s 916us/step - loss: 10.1052 - acc: 0.1373 - val_loss: 10.1753 - val_acc: 0.1680
Epoch 3/5
8083/8083 [==============================] - 7s 908us/step - loss: 10.6249 - acc: 0.2122 - val_loss: 11.3653 - val_acc: 0.1958
Epoch 4/5
8083/8083 [==============================] - 7s 907us/step - loss: 10.4336 - acc: 0.1022 - val_loss: 9.7755 - val_acc: 0.0489
Epoch 5/5
8083/8083 [==============================] - 7s 892us/step - loss: 9.2492 - acc: 0.0358 - val_loss: 9.5280 - val_acc: 0.0489
2246/2246 [==============================] - 0s 207us/step
Test score: 9.8424661395174
Test accuracy: 0.05075690115761353
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.9031 - acc: 0.4196 - val_loss: 12.7073 - val_acc: 0.5261
Epoch 2/5
8083/8083 [==============================] - 7s 901us/step - loss: 11.3460 - acc: 0.5056 - val_loss: 13.0870 - val_acc: 0.5484
Epoch 3/5
8083/8083 [==============================] - 7s 870us/step - loss: 10.5762 - acc: 0.5208 - val_loss: 13.1973 - val_acc: 0.5673
Epoch 4/5
8083/8083 [==============================] - 7s 919us/step - loss: 10.4706 - acc: 0.4746 - val_loss: 11.9461 - val_acc: 0.5495
Epoch 5/5
8083/8083 [==============================] - 7s 886us/step - loss: 9.7653 - acc: 0.5178 - val_loss: 13.3104 - val_acc: 0.5473
2246/2246 [==============================] - 0s 216us/step
Test score: 13.384898088918874
Test accuracy: 0.5507569011841517
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 8s 1ms/step - loss: 3.7364 - acc: 0.3561 - val_loss: 3.6464 - val_acc: 0.3415
Epoch 2/5
8083/8083 [==============================] - 7s 847us/step - loss: 3.4215 - acc: 0.3772 - val_loss: 3.5919 - val_acc: 0.3493
Epoch 3/5
8083/8083 [==============================] - 8s 950us/step - loss: 3.1442 - acc: 0.3787 - val_loss: 3.4215 - val_acc: 0.3582
Epoch 4/5
8083/8083 [==============================] - 8s 939us/step - loss: 3.0501 - acc: 0.3909 - val_loss: 3.2094 - val_acc: 0.4461
Epoch 5/5
8083/8083 [==============================] - 7s 926us/step - loss: 2.9341 - acc: 0.5113 - val_loss: 3.2640 - val_acc: 0.5528
2246/2246 [==============================] - 1s 233us/step
Test score: 3.2658912356369005
Test accuracy: 0.5565449688334817
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: nan - acc: 0.6037 - val_loss: nan - val_acc: 0.0033
Epoch 2/5
8083/8083 [==============================] - 7s 887us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 3/5
8083/8083 [==============================] - 7s 917us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 4/5
8083/8083 [==============================] - 7s 907us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 5/5
8083/8083 [==============================] - 7s 899us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
2246/2246 [==============================] - 0s 211us/step
Test score: nan
Test accuracy: 0.005342831700801425
generation 6is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.9635 - acc: 0.0360 - val_loss: 12.3523 - val_acc: 0.0111
Epoch 2/5
8083/8083 [==============================] - 7s 828us/step - loss: 9.8264 - acc: 0.0192 - val_loss: 8.6077 - val_acc: 0.0256
Epoch 3/5
8083/8083 [==============================] - 7s 815us/step - loss: 8.9127 - acc: 0.0286 - val_loss: 9.5936 - val_acc: 0.0311
Epoch 4/5
8083/8083 [==============================] - 7s 824us/step - loss: 9.1657 - acc: 0.0301 - val_loss: 10.1508 - val_acc: 0.0334
Epoch 5/5
8083/8083 [==============================] - 7s 819us/step - loss: 9.1128 - acc: 0.0323 - val_loss: 11.6035 - val_acc: 0.0311
2246/2246 [==============================] - 0s 178us/step
Test score: 11.630595341391151
Test accuracy: 0.031166518254674976
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.4251 - acc: 0.3442 - val_loss: 10.9813 - val_acc: 0.3315
Epoch 2/5
8083/8083 [==============================] - 7s 904us/step - loss: 9.0280 - acc: 0.3541 - val_loss: 12.6187 - val_acc: 0.3315
Epoch 3/5
8083/8083 [==============================] - 7s 889us/step - loss: 9.1991 - acc: 0.3583 - val_loss: 12.4113 - val_acc: 0.3315
Epoch 4/5
8083/8083 [==============================] - 7s 903us/step - loss: 9.3262 - acc: 0.3583 - val_loss: 13.3198 - val_acc: 0.3315
Epoch 5/5
8083/8083 [==============================] - 7s 896us/step - loss: 9.3124 - acc: 0.3619 - val_loss: 13.2126 - val_acc: 0.3315
2246/2246 [==============================] - 1s 225us/step
Test score: 13.131126064120503
Test accuracy: 0.36242208375743956
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 10.9755 - acc: 0.0908 - val_loss: 11.3771 - val_acc: 0.3315
Epoch 2/5
8083/8083 [==============================] - 7s 851us/step - loss: 11.2081 - acc: 0.2754 - val_loss: 10.4190 - val_acc: 0.3326
Epoch 3/5
8083/8083 [==============================] - 7s 809us/step - loss: 10.8762 - acc: 0.1739 - val_loss: 12.8613 - val_acc: 0.1457
Epoch 4/5
8083/8083 [==============================] - 6s 798us/step - loss: nan - acc: 0.0426 - val_loss: nan - val_acc: 0.0033
Epoch 5/5
8083/8083 [==============================] - 7s 923us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
2246/2246 [==============================] - 1s 228us/step
Test score: nan
Test accuracy: 0.005342831700801425
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.1240 - acc: 0.0694 - val_loss: 11.3594 - val_acc: 0.2369
Epoch 2/5
8083/8083 [==============================] - 7s 886us/step - loss: 9.1669 - acc: 0.1758 - val_loss: 12.6098 - val_acc: 0.3737
Epoch 3/5
8083/8083 [==============================] - 7s 895us/step - loss: 9.4494 - acc: 0.2325 - val_loss: 13.2043 - val_acc: 0.3526
Epoch 4/5
8083/8083 [==============================] - 7s 879us/step - loss: 9.1227 - acc: 0.2361 - val_loss: 13.2045 - val_acc: 0.3448
Epoch 5/5
8083/8083 [==============================] - 7s 877us/step - loss: 9.0779 - acc: 0.2269 - val_loss: 13.3264 - val_acc: 0.3526
2246/2246 [==============================] - 0s 216us/step
Test score: 13.221124111491447
Test accuracy: 0.37666963490650046
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 8.5404 - acc: 0.0239 - val_loss: 9.9508 - val_acc: 0.0623
Epoch 2/5
8083/8083 [==============================] - 8s 945us/step - loss: 8.8240 - acc: 0.0388 - val_loss: 7.0133 - val_acc: 0.1924
Epoch 3/5
8083/8083 [==============================] - 7s 918us/step - loss: 9.0670 - acc: 0.0442 - val_loss: 11.5392 - val_acc: 0.0879
Epoch 4/5
8083/8083 [==============================] - 7s 902us/step - loss: 9.0991 - acc: 0.0491 - val_loss: 11.2729 - val_acc: 0.2202
Epoch 5/5
8083/8083 [==============================] - 7s 911us/step - loss: 8.9778 - acc: 0.0516 - val_loss: 12.0235 - val_acc: 0.2147
2246/2246 [==============================] - 1s 234us/step
Test score: 11.77419856097798
Test accuracy: 0.20213713268032057
generation 7is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.9566 - acc: 0.0593 - val_loss: 11.8211 - val_acc: 0.0645
Epoch 2/5
8083/8083 [==============================] - 7s 841us/step - loss: 11.1275 - acc: 0.0740 - val_loss: 9.3490 - val_acc: 0.0679
Epoch 3/5
8083/8083 [==============================] - 7s 837us/step - loss: 10.5046 - acc: 0.0774 - val_loss: 11.3365 - val_acc: 0.0723
Epoch 4/5
8083/8083 [==============================] - 7s 845us/step - loss: 10.8416 - acc: 0.0830 - val_loss: 12.0861 - val_acc: 0.0812
Epoch 5/5
8083/8083 [==============================] - 7s 835us/step - loss: 11.2088 - acc: 0.0941 - val_loss: 11.9042 - val_acc: 0.0957
2246/2246 [==============================] - 0s 215us/step
Test score: 12.02658607571229
Test accuracy: 0.08459483526268922
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 3.5252 - acc: 0.3463 - val_loss: 3.6151 - val_acc: 0.3315
Epoch 2/5
8083/8083 [==============================] - 7s 851us/step - loss: 3.2648 - acc: 0.3582 - val_loss: 3.3492 - val_acc: 0.3393
Epoch 3/5
8083/8083 [==============================] - 7s 817us/step - loss: 3.0122 - acc: 0.3672 - val_loss: 3.3055 - val_acc: 0.3426
Epoch 4/5
8083/8083 [==============================] - 7s 887us/step - loss: 2.9171 - acc: 0.3652 - val_loss: 3.1845 - val_acc: 0.2659
Epoch 5/5
8083/8083 [==============================] - 7s 908us/step - loss: 2.8697 - acc: 0.4450 - val_loss: 3.2366 - val_acc: 0.5128
2246/2246 [==============================] - 1s 228us/step
Test score: 3.2734546257997343
Test accuracy: 0.5209260908812152
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 12.0356 - acc: 0.3510 - val_loss: 11.4102 - val_acc: 0.3537
Epoch 2/5
8083/8083 [==============================] - 7s 903us/step - loss: 11.3641 - acc: 0.3229 - val_loss: 11.7095 - val_acc: 0.3192
Epoch 3/5
8083/8083 [==============================] - 7s 888us/step - loss: 11.3507 - acc: 0.3128 - val_loss: 11.4032 - val_acc: 0.3081
Epoch 4/5
8083/8083 [==============================] - 7s 898us/step - loss: 11.6605 - acc: 0.2975 - val_loss: 12.3533 - val_acc: 0.3014
Epoch 5/5
8083/8083 [==============================] - 7s 889us/step - loss: 11.5448 - acc: 0.2920 - val_loss: 10.9904 - val_acc: 0.3115
2246/2246 [==============================] - 1s 228us/step
Test score: 11.41758219599193
Test accuracy: 0.3308103295276978
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.7049 - acc: 0.2506 - val_loss: 11.5611 - val_acc: 0.3103
Epoch 2/5
8083/8083 [==============================] - 8s 928us/step - loss: 11.4184 - acc: 0.3396 - val_loss: 11.2876 - val_acc: 0.3426
Epoch 3/5
8083/8083 [==============================] - 7s 905us/step - loss: 10.5412 - acc: 0.3483 - val_loss: 9.2607 - val_acc: 0.3237
Epoch 4/5
8083/8083 [==============================] - 8s 929us/step - loss: 10.6606 - acc: 0.2754 - val_loss: 10.2443 - val_acc: 0.1090
Epoch 5/5
8083/8083 [==============================] - 8s 945us/step - loss: 9.8749 - acc: 0.1335 - val_loss: 9.4667 - val_acc: 0.1390
2246/2246 [==============================] - 1s 271us/step
Test score: 9.00052529026755
Test accuracy: 0.1571682992118443
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 1.4826 - acc: 0.6235 - val_loss: 0.9518 - val_acc: 0.7898
Epoch 2/5
8083/8083 [==============================] - 7s 869us/step - loss: 0.6090 - acc: 0.8567 - val_loss: 0.9003 - val_acc: 0.7976
Epoch 3/5
8083/8083 [==============================] - 7s 921us/step - loss: 0.4192 - acc: 0.8910 - val_loss: 0.9177 - val_acc: 0.8087
Epoch 4/5
8083/8083 [==============================] - 7s 919us/step - loss: 0.3175 - acc: 0.9159 - val_loss: 0.9582 - val_acc: 0.8020
Epoch 5/5
8083/8083 [==============================] - 7s 914us/step - loss: 0.2680 - acc: 0.9254 - val_loss: 1.0106 - val_acc: 0.8042
2246/2246 [==============================] - 1s 255us/step
Test score: 1.0096429540764935
Test accuracy: 0.7876224399462196
generation 8is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 12.0067 - acc: 0.3943 - val_loss: 11.6865 - val_acc: 0.3993
Epoch 2/5
8083/8083 [==============================] - 7s 861us/step - loss: 9.6146 - acc: 0.4373 - val_loss: 8.7176 - val_acc: 0.4171
Epoch 3/5
8083/8083 [==============================] - 7s 817us/step - loss: 9.1448 - acc: 0.4456 - val_loss: 9.7563 - val_acc: 0.4160
Epoch 4/5
8083/8083 [==============================] - 7s 838us/step - loss: 9.3674 - acc: 0.4479 - val_loss: 10.2788 - val_acc: 0.4194
Epoch 5/5
8083/8083 [==============================] - 7s 842us/step - loss: 10.2600 - acc: 0.4556 - val_loss: 10.8874 - val_acc: 0.4383
2246/2246 [==============================] - 0s 217us/step
Test score: 11.090530986565092
Test accuracy: 0.4634906500975999
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.1825 - acc: 0.0706 - val_loss: 11.3517 - val_acc: 0.1001
Epoch 2/5
8083/8083 [==============================] - 7s 919us/step - loss: 9.7121 - acc: 0.1039 - val_loss: 11.8699 - val_acc: 0.1135
Epoch 3/5
8083/8083 [==============================] - 8s 939us/step - loss: 10.1071 - acc: 0.1156 - val_loss: 7.6558 - val_acc: 0.1168
Epoch 4/5
8083/8083 [==============================] - 7s 918us/step - loss: 9.2702 - acc: 0.0845 - val_loss: 11.5484 - val_acc: 0.0823
Epoch 5/5
8083/8083 [==============================] - 7s 918us/step - loss: 9.8082 - acc: 0.0972 - val_loss: 5.7761 - val_acc: 0.1246
2246/2246 [==============================] - 1s 248us/step
Test score: 5.435676533732155
Test accuracy: 0.10463045414069456
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: nan - acc: 0.4976 - val_loss: nan - val_acc: 0.7330
Epoch 2/5
8083/8083 [==============================] - 7s 906us/step - loss: nan - acc: 0.7380 - val_loss: nan - val_acc: 0.7330
Epoch 3/5
8083/8083 [==============================] - 7s 913us/step - loss: nan - acc: 0.7448 - val_loss: nan - val_acc: 0.7330
Epoch 4/5
8083/8083 [==============================] - 7s 910us/step - loss: nan - acc: 0.7642 - val_loss: nan - val_acc: 0.7453
Epoch 5/5
8083/8083 [==============================] - 8s 939us/step - loss: nan - acc: 0.7639 - val_loss: nan - val_acc: 0.7519
2246/2246 [==============================] - 0s 220us/step
Test score: nan
Test accuracy: 0.7422083704894075
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 6.6479 - acc: 0.3975 - val_loss: 5.7081 - val_acc: 0.5184
Epoch 2/5
8083/8083 [==============================] - 7s 890us/step - loss: nan - acc: 0.0132 - val_loss: nan - val_acc: 0.0033
Epoch 3/5
8083/8083 [==============================] - 7s 900us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 4/5
8083/8083 [==============================] - 8s 932us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 5/5
8083/8083 [==============================] - 8s 967us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
2246/2246 [==============================] - 1s 256us/step
Test score: nan
Test accuracy: 0.005342831700801425
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.2103 - acc: 0.7326 - val_loss: 0.9605 - val_acc: 0.7809
Epoch 2/5
8083/8083 [==============================] - 8s 947us/step - loss: 0.6124 - acc: 0.8588 - val_loss: 0.8722 - val_acc: 0.8020
Epoch 3/5
8083/8083 [==============================] - 7s 829us/step - loss: 0.4170 - acc: 0.9040 - val_loss: 0.8702 - val_acc: 0.8053
Epoch 4/5
8083/8083 [==============================] - 7s 857us/step - loss: 0.3133 - acc: 0.9266 - val_loss: 0.9282 - val_acc: 0.8020
Epoch 5/5
8083/8083 [==============================] - 8s 954us/step - loss: 0.2517 - acc: 0.9373 - val_loss: 0.9525 - val_acc: 0.7931
2246/2246 [==============================] - 1s 239us/step
Test score: 0.9384814024183863
Test accuracy: 0.7836153161175423
generation 9is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.6125 - acc: 0.3072 - val_loss: 11.9940 - val_acc: 0.3359
Epoch 2/5
8083/8083 [==============================] - 7s 854us/step - loss: 10.5426 - acc: 0.3692 - val_loss: 10.6671 - val_acc: 0.3504
Epoch 3/5
8083/8083 [==============================] - 7s 853us/step - loss: 10.1148 - acc: 0.3775 - val_loss: 8.8451 - val_acc: 0.3526
Epoch 4/5
8083/8083 [==============================] - 7s 861us/step - loss: 9.6207 - acc: 0.3839 - val_loss: 10.5440 - val_acc: 0.3537
Epoch 5/5
8083/8083 [==============================] - 7s 849us/step - loss: 9.5845 - acc: 0.3793 - val_loss: 8.7154 - val_acc: 0.3582
2246/2246 [==============================] - 1s 243us/step
Test score: 8.629707326235138
Test accuracy: 0.3855743544609124
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 2.8830 - acc: 0.4252 - val_loss: 1.4255 - val_acc: 0.6841
Epoch 2/5
8083/8083 [==============================] - 7s 902us/step - loss: 2.0056 - acc: 0.5750 - val_loss: 1.2350 - val_acc: 0.7364
Epoch 3/5
8083/8083 [==============================] - 7s 915us/step - loss: 1.7411 - acc: 0.6280 - val_loss: 1.1780 - val_acc: 0.7531
Epoch 4/5
8083/8083 [==============================] - 8s 942us/step - loss: 1.6246 - acc: 0.6486 - val_loss: 1.1373 - val_acc: 0.7631
Epoch 5/5
8083/8083 [==============================] - 8s 935us/step - loss: 1.5216 - acc: 0.6647 - val_loss: 1.0995 - val_acc: 0.7697
2246/2246 [==============================] - 1s 266us/step
Test score: 1.0896014719272658
Test accuracy: 0.7573463936151401
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.3516 - acc: 0.6981 - val_loss: 1.0210 - val_acc: 0.7709
Epoch 2/5
8083/8083 [==============================] - 7s 909us/step - loss: 0.7714 - acc: 0.8207 - val_loss: 0.9205 - val_acc: 0.7964
Epoch 3/5
8083/8083 [==============================] - 7s 907us/step - loss: 0.5906 - acc: 0.8602 - val_loss: 0.8746 - val_acc: 0.8042
Epoch 4/5
8083/8083 [==============================] - 8s 947us/step - loss: 0.4737 - acc: 0.8843 - val_loss: 0.8778 - val_acc: 0.8154
Epoch 5/5
8083/8083 [==============================] - 7s 892us/step - loss: 0.4052 - acc: 0.8995 - val_loss: 0.9043 - val_acc: 0.8020
2246/2246 [==============================] - 1s 231us/step
Test score: 0.8925274864223952
Test accuracy: 0.7965271594475554
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 11.6127 - acc: 0.3287 - val_loss: 11.9128 - val_acc: 0.3648
Epoch 2/5
8083/8083 [==============================] - 8s 939us/step - loss: 11.0353 - acc: 0.3382 - val_loss: 11.5642 - val_acc: 0.3815
Epoch 3/5
8083/8083 [==============================] - 8s 949us/step - loss: 10.8666 - acc: 0.3297 - val_loss: 11.7630 - val_acc: 0.3626
Epoch 4/5
8083/8083 [==============================] - 8s 934us/step - loss: 11.5422 - acc: 0.2962 - val_loss: 10.0094 - val_acc: 0.2881
Epoch 5/5
8083/8083 [==============================] - 7s 923us/step - loss: 11.1483 - acc: 0.2859 - val_loss: 11.6000 - val_acc: 0.3081
2246/2246 [==============================] - 1s 246us/step
Test score: 11.554634032245204
Test accuracy: 0.3379341050756901
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 6.0411 - acc: 0.4992 - val_loss: 5.9930 - val_acc: 0.5528
Epoch 2/5
8083/8083 [==============================] - 7s 836us/step - loss: nan - acc: 0.2662 - val_loss: nan - val_acc: 0.0033
Epoch 3/5
8083/8083 [==============================] - 7s 856us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 4/5
8083/8083 [==============================] - 7s 872us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
Epoch 5/5
8083/8083 [==============================] - 8s 933us/step - loss: nan - acc: 0.0064 - val_loss: nan - val_acc: 0.0033
2246/2246 [==============================] - 1s 249us/step
Test score: nan
Test accuracy: 0.005342831700801425
generation 10is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 10.7497 - acc: 0.1915 - val_loss: 10.7492 - val_acc: 0.3370
Epoch 2/5
8083/8083 [==============================] - 7s 873us/step - loss: 9.6854 - acc: 0.3624 - val_loss: 9.0073 - val_acc: 0.3415
Epoch 3/5
8083/8083 [==============================] - 7s 868us/step - loss: 10.3624 - acc: 0.3814 - val_loss: 10.6871 - val_acc: 0.3815
Epoch 4/5
8083/8083 [==============================] - 7s 882us/step - loss: 10.7752 - acc: 0.3971 - val_loss: 11.5650 - val_acc: 0.3815
Epoch 5/5
8083/8083 [==============================] - 7s 858us/step - loss: 9.7598 - acc: 0.3986 - val_loss: 9.3056 - val_acc: 0.3826
2246/2246 [==============================] - 1s 246us/step
Test score: 9.179556648750339
Test accuracy: 0.4078361532142517
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 11.3476 - acc: 0.0748 - val_loss: 13.3031 - val_acc: 0.1168
Epoch 2/5
8083/8083 [==============================] - 8s 930us/step - loss: 9.8908 - acc: 0.1288 - val_loss: 12.8803 - val_acc: 0.1402
Epoch 3/5
8083/8083 [==============================] - 8s 935us/step - loss: 8.7572 - acc: 0.2000 - val_loss: 8.7328 - val_acc: 0.2102
Epoch 4/5
8083/8083 [==============================] - 8s 934us/step - loss: 9.1276 - acc: 0.2229 - val_loss: 7.3336 - val_acc: 0.1924
Epoch 5/5
8083/8083 [==============================] - 8s 954us/step - loss: 9.4403 - acc: 0.2618 - val_loss: 13.0258 - val_acc: 0.4394
2246/2246 [==============================] - 1s 232us/step
Test score: 12.756936300894244
Test accuracy: 0.4470169189935907
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 9.1207 - acc: 0.0970 - val_loss: 12.3049 - val_acc: 0.2314
Epoch 2/5
8083/8083 [==============================] - 8s 986us/step - loss: 9.6306 - acc: 0.1721 - val_loss: 12.8620 - val_acc: 0.2225
Epoch 3/5
8083/8083 [==============================] - 7s 849us/step - loss: 9.4967 - acc: 0.1538 - val_loss: 13.6266 - val_acc: 0.2614
Epoch 4/5
8083/8083 [==============================] - 7s 894us/step - loss: 9.8605 - acc: 0.1422 - val_loss: 13.5208 - val_acc: 0.1268
Epoch 5/5
8083/8083 [==============================] - 8s 967us/step - loss: 9.3196 - acc: 0.1712 - val_loss: 13.4646 - val_acc: 0.3048
2246/2246 [==============================] - 1s 289us/step
Test score: 13.412328119694072
Test accuracy: 0.3495102404274265
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.4926 - acc: 0.6684 - val_loss: 1.0172 - val_acc: 0.7642
Epoch 2/5
8083/8083 [==============================] - 7s 925us/step - loss: 0.7403 - acc: 0.8241 - val_loss: 0.8592 - val_acc: 0.8031
Epoch 3/5
8083/8083 [==============================] - 8s 950us/step - loss: 0.5207 - acc: 0.8759 - val_loss: 0.8129 - val_acc: 0.8131
Epoch 4/5
8083/8083 [==============================] - 8s 933us/step - loss: 0.3968 - acc: 0.9034 - val_loss: 0.8395 - val_acc: 0.7998
Epoch 5/5
8083/8083 [==============================] - 7s 913us/step - loss: 0.3217 - acc: 0.9190 - val_loss: 0.8819 - val_acc: 0.7987
2246/2246 [==============================] - 1s 232us/step
Test score: 0.8608650409633946
Test accuracy: 0.7956366874974218
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 11.5718 - acc: 0.2265 - val_loss: 12.3228 - val_acc: 0.2469
Epoch 2/5
8083/8083 [==============================] - 8s 960us/step - loss: 11.2484 - acc: 0.2544 - val_loss: 11.0193 - val_acc: 0.2714
Epoch 3/5
8083/8083 [==============================] - 8s 1ms/step - loss: 11.0444 - acc: 0.2473 - val_loss: 11.3195 - val_acc: 0.2792
Epoch 4/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.1338 - acc: 0.2832 - val_loss: 11.9021 - val_acc: 0.2925
Epoch 5/5
8083/8083 [==============================] - 8s 1ms/step - loss: 11.3237 - acc: 0.2941 - val_loss: 11.7131 - val_acc: 0.2970
2246/2246 [==============================] - 1s 353us/step
Test score: 11.988635878422805
Test accuracy: 0.28762243989314334
generation 11is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 12s 1ms/step - loss: 10.8556 - acc: 0.3919 - val_loss: 10.5598 - val_acc: 0.3826
Epoch 2/5
8083/8083 [==============================] - 9s 1ms/step - loss: 10.5612 - acc: 0.4075 - val_loss: 8.9376 - val_acc: 0.3782
Epoch 3/5
8083/8083 [==============================] - 8s 968us/step - loss: 9.9265 - acc: 0.4111 - val_loss: 10.8486 - val_acc: 0.3871
Epoch 4/5
8083/8083 [==============================] - 8s 946us/step - loss: 9.3644 - acc: 0.4183 - val_loss: 10.9201 - val_acc: 0.4082
Epoch 5/5
8083/8083 [==============================] - 7s 912us/step - loss: 9.9513 - acc: 0.4243 - val_loss: 9.8973 - val_acc: 0.4082
2246/2246 [==============================] - 1s 258us/step
Test score: 9.660369767743566
Test accuracy: 0.4247551202667895
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 11.5548 - acc: 0.3674 - val_loss: 11.7852 - val_acc: 0.4116
Epoch 2/5
8083/8083 [==============================] - 8s 933us/step - loss: 10.7034 - acc: 0.4216 - val_loss: 9.4981 - val_acc: 0.4205
Epoch 3/5
8083/8083 [==============================] - 8s 977us/step - loss: 9.5967 - acc: 0.3546 - val_loss: 10.7851 - val_acc: 0.3526
Epoch 4/5
8083/8083 [==============================] - 8s 982us/step - loss: 10.2645 - acc: 0.3707 - val_loss: 10.4048 - val_acc: 0.3615
Epoch 5/5
8083/8083 [==============================] - 8s 931us/step - loss: 9.4464 - acc: 0.3671 - val_loss: 10.0628 - val_acc: 0.3437
2246/2246 [==============================] - 1s 266us/step
Test score: 10.327597422782375
Test accuracy: 0.3748886910062333
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 11s 1ms/step - loss: 1.7968 - acc: 0.6063 - val_loss: 1.1636 - val_acc: 0.7497
Epoch 2/5
8083/8083 [==============================] - 8s 970us/step - loss: 1.1757 - acc: 0.7356 - val_loss: 1.0331 - val_acc: 0.7720
Epoch 3/5
8083/8083 [==============================] - 8s 947us/step - loss: 1.0011 - acc: 0.7729 - val_loss: 0.9674 - val_acc: 0.7953
Epoch 4/5
8083/8083 [==============================] - 8s 972us/step - loss: 0.8802 - acc: 0.7936 - val_loss: 0.9143 - val_acc: 0.7987
Epoch 5/5
8083/8083 [==============================] - 8s 969us/step - loss: 0.8034 - acc: 0.8139 - val_loss: 0.9067 - val_acc: 0.8087
2246/2246 [==============================] - 1s 266us/step
Test score: 0.8584531733529014
Test accuracy: 0.8014247551467518
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 11s 1ms/step - loss: 10.1899 - acc: 0.0481 - val_loss: 6.6023 - val_acc: 0.0234
Epoch 2/5
8083/8083 [==============================] - 8s 962us/step - loss: 9.4232 - acc: 0.0189 - val_loss: 10.6856 - val_acc: 0.0022
Epoch 3/5
8083/8083 [==============================] - 8s 963us/step - loss: 9.6315 - acc: 0.0104 - val_loss: 10.3629 - val_acc: 0.0022
Epoch 4/5
8083/8083 [==============================] - 8s 982us/step - loss: 9.4462 - acc: 0.0051 - val_loss: 9.9326 - val_acc: 0.0056
Epoch 5/5
8083/8083 [==============================] - 7s 927us/step - loss: 8.7147 - acc: 0.0057 - val_loss: 7.7094 - val_acc: 0.0033
2246/2246 [==============================] - 1s 266us/step
Test score: 7.312706726954011
Test accuracy: 0.00578806767586821
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 11s 1ms/step - loss: 1.4725 - acc: 0.6707 - val_loss: 1.0257 - val_acc: 0.7731
Epoch 2/5
8083/8083 [==============================] - 8s 929us/step - loss: 0.7067 - acc: 0.8341 - val_loss: 0.8825 - val_acc: 0.7942
Epoch 3/5
8083/8083 [==============================] - 8s 955us/step - loss: 0.4962 - acc: 0.8754 - val_loss: 0.8663 - val_acc: 0.8042
Epoch 4/5
8083/8083 [==============================] - 8s 937us/step - loss: 0.3686 - acc: 0.9019 - val_loss: 0.9058 - val_acc: 0.8042
Epoch 5/5
8083/8083 [==============================] - 7s 922us/step - loss: 0.2942 - acc: 0.9193 - val_loss: 0.8997 - val_acc: 0.8087
2246/2246 [==============================] - 1s 272us/step
Test score: 0.8911374719251189
Test accuracy: 0.8000890472480896
generation 12is done
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 10s 1ms/step - loss: 12.6995 - acc: 0.4407 - val_loss: 11.4095 - val_acc: 0.4694
Epoch 2/5
8083/8083 [==============================] - 7s 873us/step - loss: 9.9567 - acc: 0.4916 - val_loss: 12.0330 - val_acc: 0.4494
Epoch 3/5
8083/8083 [==============================] - 8s 959us/step - loss: 9.4359 - acc: 0.5158 - val_loss: 5.1139 - val_acc: 0.5061
Epoch 4/5
8083/8083 [==============================] - 8s 1ms/step - loss: 9.4770 - acc: 0.5488 - val_loss: 12.1214 - val_acc: 0.5273
Epoch 5/5
8083/8083 [==============================] - 8s 940us/step - loss: 9.6340 - acc: 0.5597 - val_loss: 12.1260 - val_acc: 0.5473
2246/2246 [==============================] - 1s 312us/step
Test score: 12.317599598892226
Test accuracy: 0.5569902048350867
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 13s 2ms/step - loss: 10.9183 - acc: 0.2190 - val_loss: 12.2595 - val_acc: 0.2180
Epoch 2/5
8083/8083 [==============================] - 9s 1ms/step - loss: 11.4717 - acc: 0.1629 - val_loss: 12.1693 - val_acc: 0.2269
Epoch 3/5
8083/8083 [==============================] - 9s 1ms/step - loss: 10.6181 - acc: 0.1424 - val_loss: 6.9759 - val_acc: 0.2525
Epoch 4/5
8083/8083 [==============================] - 9s 1ms/step - loss: 9.9059 - acc: 0.1300 - val_loss: 10.5045 - val_acc: 0.2280
Epoch 5/5
8083/8083 [==============================] - 10s 1ms/step - loss: 9.7648 - acc: 0.1080 - val_loss: 9.4910 - val_acc: 0.2247
2246/2246 [==============================] - 1s 342us/step
Test score: 9.579077375858677
Test accuracy: 0.2163846838824577
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 13s 2ms/step - loss: 1.9710 - acc: 0.4715 - val_loss: 1.2739 - val_acc: 0.7152
Epoch 2/5
8083/8083 [==============================] - 9s 1ms/step - loss: 1.1310 - acc: 0.7380 - val_loss: 1.0738 - val_acc: 0.7608
Epoch 3/5
8083/8083 [==============================] - 10s 1ms/step - loss: 0.9097 - acc: 0.7851 - val_loss: 0.9886 - val_acc: 0.7764
Epoch 4/5
8083/8083 [==============================] - 9s 1ms/step - loss: 0.7782 - acc: 0.8149 - val_loss: 0.9163 - val_acc: 0.7976
Epoch 5/5
8083/8083 [==============================] - 9s 1ms/step - loss: 0.6811 - acc: 0.8353 - val_loss: 0.8772 - val_acc: 0.7875
2246/2246 [==============================] - 1s 341us/step
Test score: 0.8656921048092184
Test accuracy: 0.788512911843277
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 13s 2ms/step - loss: 2.5365 - acc: 0.5103 - val_loss: 1.2692 - val_acc: 0.7353
Epoch 2/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.7190 - acc: 0.6504 - val_loss: 1.1290 - val_acc: 0.7597
Epoch 3/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.4818 - acc: 0.6900 - val_loss: 1.0679 - val_acc: 0.7820
Epoch 4/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.3594 - acc: 0.7064 - val_loss: 1.0574 - val_acc: 0.7853
Epoch 5/5
8083/8083 [==============================] - 10s 1ms/step - loss: 1.2608 - acc: 0.7266 - val_loss: 1.0062 - val_acc: 0.7875
2246/2246 [==============================] - 1s 390us/step
Test score: 0.9757872814592886
Test accuracy: 0.7831700801690137
Train on 8083 samples, validate on 899 samples
Epoch 1/5
8083/8083 [==============================] - 13s 2ms/step - loss: 8.5961 - acc: 0.1391 - val_loss: 12.9701 - val_acc: 0.2225
Epoch 2/5
8083/8083 [==============================] - 10s 1ms/step - loss: 8.5705 - acc: 0.1906 - val_loss: 12.8140 - val_acc: 0.2225
Epoch 3/5
8083/8083 [==============================] - 9s 1ms/step - loss: 8.6510 - acc: 0.1817 - val_loss: 9.7363 - val_acc: 0.2247
Epoch 4/5