Mon Apr 22 14:38:39 2019 movie_review: Python version: 3.6.8 keras version: 2.2.4 Neural network to classify movie reviews. First data item and its label: [1, 14, 22, 16, 43, 530, 973, 1622, 1385, 65, 458, 4468, 66, 3941, 4, 173, 36, 256, 5, 25, 100, 43, 838, 112, 50, 670, 2, 9, 35, 480, 284, 5, 150, 4, 172, 112, 167, 2, 336, 385, 39, 4, 172, 4536, 1111, 17, 546, 38, 13, 447, 4, 192, 50, 16, 6, 147, 2025, 19, 14, 22, 4, 1920, 4613, 469, 4, 22, 71, 87, 12, 16, 43, 530, 38, 76, 15, 13, 1247, 4, 22, 17, 515, 17, 12, 16, 626, 18, 2, 5, 62, 386, 12, 8, 316, 8, 106, 5, 4, 2223, 5244, 16, 480, 66, 3785, 33, 4, 130, 12, 16, 38, 619, 5, 25, 124, 51, 36, 135, 48, 25, 1415, 33, 6, 22, 12, 215, 28, 77, 52, 5, 14, 407, 16, 82, 2, 8, 4, 107, 117, 5952, 15, 256, 4, 2, 7, 3766, 5, 723, 36, 71, 43, 530, 476, 26, 400, 317, 46, 7, 4, 2, 1029, 13, 104, 88, 4, 381, 15, 297, 98, 32, 2071, 56, 26, 141, 6, 194, 7486, 18, 4, 226, 22, 21, 134, 476, 26, 480, 5, 144, 30, 5535, 18, 51, 36, 28, 224, 92, 25, 104, 4, 226, 65, 16, 38, 1334, 88, 12, 16, 283, 5, 16, 4472, 113, 103, 32, 15, 16, 5345, 19, 178, 32] 1 Check that the maximum word index is 9,999: max word index = 9999 Print a decoded review: ? this film was just brilliant casting location scenery story direction everyone's really suited the part they played and you could just imagine being there robert ? is an amazing actor and now the same being director ? father came from the same scottish island as myself so i loved the fact there was a real connection with this film the witty remarks throughout the film were great it was just brilliant so much that i bought the film as soon as it was released for ? and would recommend it to everyone to watch and the fly fishing was amazing really cried at the end it was so sad and you know what they say if you cry at a film it must have been good and this definitely was also ? to the two little boy's that played the ? of norman and paul they were just brilliant children are often left out of the ? list i think because the stars that play them all grown up are such a big profile for the whole film but these children are amazing and should be praised for what they have done don't you think the whole story was so lovely because it was true and was someone's life after all that was shared with us all Train on 15000 samples, validate on 10000 samples Epoch 1/20 512/15000 [>.............................] - ETA: 5s - loss: 0.6939 - binary_accuracy: 0.5020 1536/15000 [==>...........................] - ETA: 2s - loss: 0.6847 - binary_accuracy: 0.5488 3072/15000 [=====>........................] - ETA: 1s - loss: 0.6513 - binary_accuracy: 0.6494 4608/15000 [========>.....................] - ETA: 0s - loss: 0.6255 - binary_accuracy: 0.6762 6144/15000 [===========>..................] - ETA: 0s - loss: 0.6038 - binary_accuracy: 0.7018 7680/15000 [==============>...............] - ETA: 0s - loss: 0.5782 - binary_accuracy: 0.7315 9216/15000 [=================>............] - ETA: 0s - loss: 0.5594 - binary_accuracy: 0.7488 10752/15000 [====================>.........] - ETA: 0s - loss: 0.5459 - binary_accuracy: 0.7585 12288/15000 [=======================>......] - ETA: 0s - loss: 0.5307 - binary_accuracy: 0.7701 13824/15000 [==========================>...] - ETA: 0s - loss: 0.5155 - binary_accuracy: 0.7807 15000/15000 [==============================] - 1s 78us/step - loss: 0.5050 - binary_accuracy: 0.7877 - val_loss: 0.3778 - val_binary_accuracy: 0.8704 Epoch 2/20 512/15000 [>.............................] - ETA: 0s - loss: 0.3214 - binary_accuracy: 0.9043 2560/15000 [====>.........................] - ETA: 0s - loss: 0.3205 - binary_accuracy: 0.9113 4608/15000 [========>.....................] - ETA: 0s - loss: 0.3098 - binary_accuracy: 0.9138 6656/15000 [============>.................] - ETA: 0s - loss: 0.3059 - binary_accuracy: 0.9102 8704/15000 [================>.............] - ETA: 0s - loss: 0.3100 - binary_accuracy: 0.9046 10752/15000 [====================>.........] - ETA: 0s - loss: 0.3069 - binary_accuracy: 0.9060 12800/15000 [========================>.....] - ETA: 0s - loss: 0.3028 - binary_accuracy: 0.9047 14848/15000 [============================>.] - ETA: 0s - loss: 0.2995 - binary_accuracy: 0.9044 15000/15000 [==============================] - 1s 47us/step - loss: 0.2992 - binary_accuracy: 0.9046 - val_loss: 0.3003 - val_binary_accuracy: 0.8890 Epoch 3/20 512/15000 [>.............................] - ETA: 0s - loss: 0.2105 - binary_accuracy: 0.9375 2560/15000 [====>.........................] - ETA: 0s - loss: 0.2186 - binary_accuracy: 0.9359 4608/15000 [========>.....................] - ETA: 0s - loss: 0.2211 - binary_accuracy: 0.9327 6656/15000 [============>.................] - ETA: 0s - loss: 0.2199 - binary_accuracy: 0.9316 8704/15000 [================>.............] - ETA: 0s - loss: 0.2223 - binary_accuracy: 0.9274 10752/15000 [====================>.........] - ETA: 0s - loss: 0.2199 - binary_accuracy: 0.9275 12800/15000 [========================>.....] - ETA: 0s - loss: 0.2194 - binary_accuracy: 0.9268 14848/15000 [============================>.] - ETA: 0s - loss: 0.2174 - binary_accuracy: 0.9281 15000/15000 [==============================] - 1s 46us/step - loss: 0.2173 - binary_accuracy: 0.9279 - val_loss: 0.3079 - val_binary_accuracy: 0.8719 Epoch 4/20 512/15000 [>.............................] - ETA: 0s - loss: 0.1938 - binary_accuracy: 0.9375 2560/15000 [====>.........................] - ETA: 0s - loss: 0.1853 - binary_accuracy: 0.9414 4608/15000 [========>.....................] - ETA: 0s - loss: 0.1754 - binary_accuracy: 0.9484 6656/15000 [============>.................] - ETA: 0s - loss: 0.1749 - binary_accuracy: 0.9470 8704/15000 [================>.............] - ETA: 0s - loss: 0.1723 - binary_accuracy: 0.9477 10752/15000 [====================>.........] - ETA: 0s - loss: 0.1734 - binary_accuracy: 0.9465 12800/15000 [========================>.....] - ETA: 0s - loss: 0.1768 - binary_accuracy: 0.9431 14848/15000 [============================>.] - ETA: 0s - loss: 0.1750 - binary_accuracy: 0.9436 15000/15000 [==============================] - 1s 48us/step - loss: 0.1747 - binary_accuracy: 0.9436 - val_loss: 0.2829 - val_binary_accuracy: 0.8846 Epoch 5/20 512/15000 [>.............................] - ETA: 0s - loss: 0.1302 - binary_accuracy: 0.9707 2048/15000 [===>..........................] - ETA: 0s - loss: 0.1376 - binary_accuracy: 0.9644 4096/15000 [=======>......................] - ETA: 0s - loss: 0.1338 - binary_accuracy: 0.9653 6144/15000 [===========>..................] - ETA: 0s - loss: 0.1391 - binary_accuracy: 0.9604 8192/15000 [===============>..............] - ETA: 0s - loss: 0.1397 - binary_accuracy: 0.9572 10240/15000 [===================>..........] - ETA: 0s - loss: 0.1388 - binary_accuracy: 0.9571 12288/15000 [=======================>......] - ETA: 0s - loss: 0.1409 - binary_accuracy: 0.9554 14336/15000 [===========================>..] - ETA: 0s - loss: 0.1423 - binary_accuracy: 0.9536 15000/15000 [==============================] - 1s 47us/step - loss: 0.1421 - binary_accuracy: 0.9541 - val_loss: 0.2857 - val_binary_accuracy: 0.8857 Epoch 6/20 512/15000 [>.............................] - ETA: 0s - loss: 0.1236 - binary_accuracy: 0.9648 2560/15000 [====>.........................] - ETA: 0s - loss: 0.1047 - binary_accuracy: 0.9723 4608/15000 [========>.....................] - ETA: 0s - loss: 0.1120 - binary_accuracy: 0.9701 6656/15000 [============>.................] - ETA: 0s - loss: 0.1149 - binary_accuracy: 0.9675 8704/15000 [================>.............] - ETA: 0s - loss: 0.1158 - binary_accuracy: 0.9655 10752/15000 [====================>.........] - ETA: 0s - loss: 0.1149 - binary_accuracy: 0.9653 12800/15000 [========================>.....] - ETA: 0s - loss: 0.1146 - binary_accuracy: 0.9651 14848/15000 [============================>.] - ETA: 0s - loss: 0.1146 - binary_accuracy: 0.9652 15000/15000 [==============================] - 1s 46us/step - loss: 0.1147 - binary_accuracy: 0.9652 - val_loss: 0.3135 - val_binary_accuracy: 0.8784 Epoch 7/20 512/15000 [>.............................] - ETA: 0s - loss: 0.1000 - binary_accuracy: 0.9727 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0945 - binary_accuracy: 0.9746 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0908 - binary_accuracy: 0.9755 6656/15000 [============>.................] - ETA: 0s - loss: 0.0916 - binary_accuracy: 0.9748 8704/15000 [================>.............] - ETA: 0s - loss: 0.0952 - binary_accuracy: 0.9724 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0970 - binary_accuracy: 0.9717 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0968 - binary_accuracy: 0.9712 14848/15000 [============================>.] - ETA: 0s - loss: 0.0977 - binary_accuracy: 0.9708 15000/15000 [==============================] - 1s 46us/step - loss: 0.0976 - binary_accuracy: 0.9709 - val_loss: 0.3132 - val_binary_accuracy: 0.8840 Epoch 8/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0722 - binary_accuracy: 0.9844 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0686 - binary_accuracy: 0.9840 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0755 - binary_accuracy: 0.9787 6656/15000 [============>.................] - ETA: 0s - loss: 0.0749 - binary_accuracy: 0.9787 8704/15000 [================>.............] - ETA: 0s - loss: 0.0755 - binary_accuracy: 0.9789 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0801 - binary_accuracy: 0.9767 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0795 - binary_accuracy: 0.9768 14848/15000 [============================>.] - ETA: 0s - loss: 0.0793 - binary_accuracy: 0.9770 15000/15000 [==============================] - 1s 46us/step - loss: 0.0803 - binary_accuracy: 0.9765 - val_loss: 0.3866 - val_binary_accuracy: 0.8654 Epoch 9/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0833 - binary_accuracy: 0.9746 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0593 - binary_accuracy: 0.9867 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0594 - binary_accuracy: 0.9872 6656/15000 [============>.................] - ETA: 0s - loss: 0.0613 - binary_accuracy: 0.9856 8704/15000 [================>.............] - ETA: 0s - loss: 0.0619 - binary_accuracy: 0.9848 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0665 - binary_accuracy: 0.9822 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0666 - binary_accuracy: 0.9823 14848/15000 [============================>.] - ETA: 0s - loss: 0.0655 - binary_accuracy: 0.9823 15000/15000 [==============================] - 1s 47us/step - loss: 0.0657 - binary_accuracy: 0.9820 - val_loss: 0.3640 - val_binary_accuracy: 0.8779 Epoch 10/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0547 - binary_accuracy: 0.9922 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0514 - binary_accuracy: 0.9891 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0523 - binary_accuracy: 0.9889 6656/15000 [============>.................] - ETA: 0s - loss: 0.0508 - binary_accuracy: 0.9890 8704/15000 [================>.............] - ETA: 0s - loss: 0.0513 - binary_accuracy: 0.9886 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0506 - binary_accuracy: 0.9890 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0572 - binary_accuracy: 0.9852 14848/15000 [============================>.] - ETA: 0s - loss: 0.0559 - binary_accuracy: 0.9854 15000/15000 [==============================] - 1s 46us/step - loss: 0.0563 - binary_accuracy: 0.9851 - val_loss: 0.3853 - val_binary_accuracy: 0.8786 Epoch 11/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0395 - binary_accuracy: 0.9922 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0356 - binary_accuracy: 0.9953 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0335 - binary_accuracy: 0.9952 6656/15000 [============>.................] - ETA: 0s - loss: 0.0348 - binary_accuracy: 0.9944 8704/15000 [================>.............] - ETA: 0s - loss: 0.0364 - binary_accuracy: 0.9939 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0397 - binary_accuracy: 0.9921 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0403 - binary_accuracy: 0.9916 14848/15000 [============================>.] - ETA: 0s - loss: 0.0422 - binary_accuracy: 0.9907 15000/15000 [==============================] - 1s 47us/step - loss: 0.0422 - binary_accuracy: 0.9907 - val_loss: 0.4139 - val_binary_accuracy: 0.8778 Epoch 12/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0286 - binary_accuracy: 0.9941 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0268 - binary_accuracy: 0.9973 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0278 - binary_accuracy: 0.9967 6656/15000 [============>.................] - ETA: 0s - loss: 0.0348 - binary_accuracy: 0.9931 8704/15000 [================>.............] - ETA: 0s - loss: 0.0332 - binary_accuracy: 0.9938 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0341 - binary_accuracy: 0.9936 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0340 - binary_accuracy: 0.9936 14848/15000 [============================>.] - ETA: 0s - loss: 0.0368 - binary_accuracy: 0.9925 15000/15000 [==============================] - 1s 46us/step - loss: 0.0370 - binary_accuracy: 0.9923 - val_loss: 0.4647 - val_binary_accuracy: 0.8677 Epoch 13/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0265 - binary_accuracy: 0.9980 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0280 - binary_accuracy: 0.9957 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0247 - binary_accuracy: 0.9974 6656/15000 [============>.................] - ETA: 0s - loss: 0.0241 - binary_accuracy: 0.9968 8704/15000 [================>.............] - ETA: 0s - loss: 0.0252 - binary_accuracy: 0.9960 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0263 - binary_accuracy: 0.9955 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0297 - binary_accuracy: 0.9933 14848/15000 [============================>.] - ETA: 0s - loss: 0.0296 - binary_accuracy: 0.9931 15000/15000 [==============================] - 1s 46us/step - loss: 0.0295 - binary_accuracy: 0.9931 - val_loss: 0.4747 - val_binary_accuracy: 0.8728 Epoch 14/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0174 - binary_accuracy: 0.9980 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0174 - binary_accuracy: 0.9977 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0182 - binary_accuracy: 0.9974 6656/15000 [============>.................] - ETA: 0s - loss: 0.0186 - binary_accuracy: 0.9973 8704/15000 [================>.............] - ETA: 0s - loss: 0.0185 - binary_accuracy: 0.9974 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0240 - binary_accuracy: 0.9943 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0249 - binary_accuracy: 0.9941 14848/15000 [============================>.] - ETA: 0s - loss: 0.0245 - binary_accuracy: 0.9944 15000/15000 [==============================] - 1s 46us/step - loss: 0.0244 - binary_accuracy: 0.9945 - val_loss: 0.5076 - val_binary_accuracy: 0.8724 Epoch 15/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0099 - binary_accuracy: 1.0000 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0135 - binary_accuracy: 0.9984 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0140 - binary_accuracy: 0.9989 6656/15000 [============>.................] - ETA: 0s - loss: 0.0142 - binary_accuracy: 0.9989 8704/15000 [================>.............] - ETA: 0s - loss: 0.0150 - binary_accuracy: 0.9989 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0157 - binary_accuracy: 0.9987 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0189 - binary_accuracy: 0.9971 14848/15000 [============================>.] - ETA: 0s - loss: 0.0184 - binary_accuracy: 0.9972 15000/15000 [==============================] - 1s 47us/step - loss: 0.0183 - binary_accuracy: 0.9973 - val_loss: 0.5356 - val_binary_accuracy: 0.8716 Epoch 16/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0199 - binary_accuracy: 0.9961 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0128 - binary_accuracy: 0.9988 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0119 - binary_accuracy: 0.9991 6656/15000 [============>.................] - ETA: 0s - loss: 0.0114 - binary_accuracy: 0.9994 8704/15000 [================>.............] - ETA: 0s - loss: 0.0119 - binary_accuracy: 0.9991 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0187 - binary_accuracy: 0.9967 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0177 - binary_accuracy: 0.9970 14848/15000 [============================>.] - ETA: 0s - loss: 0.0168 - binary_accuracy: 0.9972 15000/15000 [==============================] - 1s 46us/step - loss: 0.0168 - binary_accuracy: 0.9973 - val_loss: 0.5681 - val_binary_accuracy: 0.8700 Epoch 17/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0106 - binary_accuracy: 1.0000 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0081 - binary_accuracy: 1.0000 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0082 - binary_accuracy: 0.9998 6656/15000 [============>.................] - ETA: 0s - loss: 0.0081 - binary_accuracy: 0.9998 8704/15000 [================>.............] - ETA: 0s - loss: 0.0085 - binary_accuracy: 0.9995 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0098 - binary_accuracy: 0.9992 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0126 - binary_accuracy: 0.9984 14848/15000 [============================>.] - ETA: 0s - loss: 0.0122 - binary_accuracy: 0.9985 15000/15000 [==============================] - 1s 46us/step - loss: 0.0122 - binary_accuracy: 0.9985 - val_loss: 0.5980 - val_binary_accuracy: 0.8680 Epoch 18/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0080 - binary_accuracy: 1.0000 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0064 - binary_accuracy: 1.0000 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0066 - binary_accuracy: 1.0000 6144/15000 [===========>..................] - ETA: 0s - loss: 0.0066 - binary_accuracy: 0.9998 8192/15000 [===============>..............] - ETA: 0s - loss: 0.0063 - binary_accuracy: 0.9999 10240/15000 [===================>..........] - ETA: 0s - loss: 0.0067 - binary_accuracy: 0.9998 12288/15000 [=======================>......] - ETA: 0s - loss: 0.0114 - binary_accuracy: 0.9974 14336/15000 [===========================>..] - ETA: 0s - loss: 0.0112 - binary_accuracy: 0.9976 15000/15000 [==============================] - 1s 48us/step - loss: 0.0110 - binary_accuracy: 0.9977 - val_loss: 0.6285 - val_binary_accuracy: 0.8676 Epoch 19/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0060 - binary_accuracy: 1.0000 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0054 - binary_accuracy: 0.9996 4608/15000 [========>.....................] - ETA: 0s - loss: 0.0057 - binary_accuracy: 0.9996 6656/15000 [============>.................] - ETA: 0s - loss: 0.0054 - binary_accuracy: 0.9997 8704/15000 [================>.............] - ETA: 0s - loss: 0.0053 - binary_accuracy: 0.9997 10752/15000 [====================>.........] - ETA: 0s - loss: 0.0054 - binary_accuracy: 0.9996 12800/15000 [========================>.....] - ETA: 0s - loss: 0.0056 - binary_accuracy: 0.9997 14848/15000 [============================>.] - ETA: 0s - loss: 0.0062 - binary_accuracy: 0.9996 15000/15000 [==============================] - 1s 47us/step - loss: 0.0068 - binary_accuracy: 0.9993 - val_loss: 0.7471 - val_binary_accuracy: 0.8525 Epoch 20/20 512/15000 [>.............................] - ETA: 0s - loss: 0.0164 - binary_accuracy: 0.9980 2560/15000 [====>.........................] - ETA: 0s - loss: 0.0069 - binary_accuracy: 0.9996 4096/15000 [=======>......................] - ETA: 0s - loss: 0.0060 - binary_accuracy: 0.9998 6144/15000 [===========>..................] - ETA: 0s - loss: 0.0052 - binary_accuracy: 0.9998 7680/15000 [==============>...............] - ETA: 0s - loss: 0.0050 - binary_accuracy: 0.9999 9728/15000 [==================>...........] - ETA: 0s - loss: 0.0051 - binary_accuracy: 0.9998 11776/15000 [======================>.......] - ETA: 0s - loss: 0.0049 - binary_accuracy: 0.9997 13824/15000 [==========================>...] - ETA: 0s - loss: 0.0049 - binary_accuracy: 0.9997 15000/15000 [==============================] - 1s 48us/step - loss: 0.0049 - binary_accuracy: 0.9997 - val_loss: 0.6901 - val_binary_accuracy: 0.8659 dict_keys(['val_loss', 'val_binary_accuracy', 'loss', 'binary_accuracy']) Graphics saved as "movie_review_loss.png" Graphics saved as "movie_review_accuracy.png" Epoch 1/4 512/25000 [..............................] - ETA: 10s - loss: 0.6932 - acc: 0.5117 2048/25000 [=>............................] - ETA: 3s - loss: 0.6793 - acc: 0.5791 4096/25000 [===>..........................] - ETA: 1s - loss: 0.6563 - acc: 0.6448 6144/25000 [======>.......................] - ETA: 1s - loss: 0.6302 - acc: 0.6966 8192/25000 [========>.....................] - ETA: 0s - loss: 0.6076 - acc: 0.7271 10240/25000 [===========>..................] - ETA: 0s - loss: 0.5855 - acc: 0.7509 12288/25000 [=============>................] - ETA: 0s - loss: 0.5650 - acc: 0.7692 14336/25000 [================>.............] - ETA: 0s - loss: 0.5471 - acc: 0.7825 16384/25000 [==================>...........] - ETA: 0s - loss: 0.5301 - acc: 0.7925 18432/25000 [=====================>........] - ETA: 0s - loss: 0.5145 - acc: 0.8016 20480/25000 [=======================>......] - ETA: 0s - loss: 0.5013 - acc: 0.8078 22528/25000 [==========================>...] - ETA: 0s - loss: 0.4900 - acc: 0.8124 24576/25000 [============================>.] - ETA: 0s - loss: 0.4766 - acc: 0.8199 25000/25000 [==============================] - 1s 40us/step - loss: 0.4741 - acc: 0.8211 Epoch 2/4 512/25000 [..............................] - ETA: 0s - loss: 0.2855 - acc: 0.9277 2560/25000 [==>...........................] - ETA: 0s - loss: 0.2931 - acc: 0.9125 4608/25000 [====>.........................] - ETA: 0s - loss: 0.2873 - acc: 0.9123 6656/25000 [======>.......................] - ETA: 0s - loss: 0.2883 - acc: 0.9090 8704/25000 [=========>....................] - ETA: 0s - loss: 0.2840 - acc: 0.9082 10752/25000 [===========>..................] - ETA: 0s - loss: 0.2765 - acc: 0.9112 12800/25000 [==============>...............] - ETA: 0s - loss: 0.2739 - acc: 0.9116 14848/25000 [================>.............] - ETA: 0s - loss: 0.2716 - acc: 0.9115 16896/25000 [===================>..........] - ETA: 0s - loss: 0.2700 - acc: 0.9113 18944/25000 [=====================>........] - ETA: 0s - loss: 0.2673 - acc: 0.9112 20992/25000 [========================>.....] - ETA: 0s - loss: 0.2661 - acc: 0.9107 23040/25000 [==========================>...] - ETA: 0s - loss: 0.2647 - acc: 0.9110 25000/25000 [==============================] - 1s 31us/step - loss: 0.2634 - acc: 0.9103 Epoch 3/4 512/25000 [..............................] - ETA: 0s - loss: 0.1982 - acc: 0.9453 2560/25000 [==>...........................] - ETA: 0s - loss: 0.2030 - acc: 0.9344 4608/25000 [====>.........................] - ETA: 0s - loss: 0.1996 - acc: 0.9368 6656/25000 [======>.......................] - ETA: 0s - loss: 0.2038 - acc: 0.9340 8704/25000 [=========>....................] - ETA: 0s - loss: 0.2010 - acc: 0.9331 10752/25000 [===========>..................] - ETA: 0s - loss: 0.2061 - acc: 0.9306 12800/25000 [==============>...............] - ETA: 0s - loss: 0.2037 - acc: 0.9320 14848/25000 [================>.............] - ETA: 0s - loss: 0.2038 - acc: 0.9321 16384/25000 [==================>...........] - ETA: 0s - loss: 0.2038 - acc: 0.9315 18432/25000 [=====================>........] - ETA: 0s - loss: 0.2015 - acc: 0.9313 20480/25000 [=======================>......] - ETA: 0s - loss: 0.1992 - acc: 0.9315 22528/25000 [==========================>...] - ETA: 0s - loss: 0.1980 - acc: 0.9317 24064/25000 [===========================>..] - ETA: 0s - loss: 0.1996 - acc: 0.9310 25000/25000 [==============================] - 1s 32us/step - loss: 0.1986 - acc: 0.9309 Epoch 4/4 512/25000 [..............................] - ETA: 1s - loss: 0.1748 - acc: 0.9336 2048/25000 [=>............................] - ETA: 0s - loss: 0.1703 - acc: 0.9341 3584/25000 [===>..........................] - ETA: 0s - loss: 0.1608 - acc: 0.9414 5120/25000 [=====>........................] - ETA: 0s - loss: 0.1588 - acc: 0.9436 7168/25000 [=======>......................] - ETA: 0s - loss: 0.1590 - acc: 0.9453 9216/25000 [==========>...................] - ETA: 0s - loss: 0.1584 - acc: 0.9459 11264/25000 [============>.................] - ETA: 0s - loss: 0.1594 - acc: 0.9457 13312/25000 [==============>...............] - ETA: 0s - loss: 0.1611 - acc: 0.9449 15360/25000 [=================>............] - ETA: 0s - loss: 0.1610 - acc: 0.9447 17408/25000 [===================>..........] - ETA: 0s - loss: 0.1607 - acc: 0.9441 19456/25000 [======================>.......] - ETA: 0s - loss: 0.1626 - acc: 0.9428 21504/25000 [========================>.....] - ETA: 0s - loss: 0.1625 - acc: 0.9433 23552/25000 [===========================>..] - ETA: 0s - loss: 0.1656 - acc: 0.9417 25000/25000 [==============================] - 1s 33us/step - loss: 0.1677 - acc: 0.9405 Test the model: 32/25000 [..............................] - ETA: 27s 1184/25000 [>.............................] - ETA: 1s 2336/25000 [=>............................] - ETA: 1s 3488/25000 [===>..........................] - ETA: 1s 4640/25000 [====>.........................] - ETA: 1s 5824/25000 [=====>........................] - ETA: 0s 7008/25000 [=======>......................] - ETA: 0s 8224/25000 [========>.....................] - ETA: 0s 9440/25000 [==========>...................] - ETA: 0s 10624/25000 [===========>..................] - ETA: 0s 11808/25000 [=============>................] - ETA: 0s 12960/25000 [==============>...............] - ETA: 0s 14176/25000 [================>.............] - ETA: 0s 15392/25000 [=================>............] - ETA: 0s 16512/25000 [==================>...........] - ETA: 0s 17568/25000 [====================>.........] - ETA: 0s 18592/25000 [=====================>........] - ETA: 0s 19584/25000 [======================>.......] - ETA: 0s 20640/25000 [=======================>......] - ETA: 0s 21760/25000 [=========================>....] - ETA: 0s 22880/25000 [==========================>...] - ETA: 0s 23936/25000 [===========================>..] - ETA: 0s 25000/25000 [==============================] - 1s 46us/step Model loss and accuracy on test data: loss 0.3242291012001038 acc 0.8726 Model predictions on test data: [[0.13401982] [0.999708 ] [0.28219926] ... [0.07479113] [0.04527765] [0.4852064 ]] movie_review: Normal end of execution. Mon Apr 22 14:39:10 2019