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VGG16-Real-Data-Train
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VGG16-Real-Data-Train
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Epoch 1/250
84/83 [==============================] - 62s 743ms/step - loss: 0.4548 - accuracy: 0.8511 - val_loss: 0.0956 - val_accuracy: 0.9398
Epoch 00001: val_accuracy improved from -inf to 0.93979, saving model to best_model_vgg16_v4.h5
Epoch 2/250
84/83 [==============================] - 34s 406ms/step - loss: 0.1870 - accuracy: 0.9248 - val_loss: 0.3175 - val_accuracy: 0.9202
Epoch 00002: val_accuracy did not improve from 0.93979
Epoch 3/250
84/83 [==============================] - 34s 405ms/step - loss: 0.1560 - accuracy: 0.9368 - val_loss: 0.1216 - val_accuracy: 0.9398
Epoch 00003: val_accuracy did not improve from 0.93979
Epoch 4/250
84/83 [==============================] - 34s 406ms/step - loss: 0.1621 - accuracy: 0.9342 - val_loss: 0.0874 - val_accuracy: 0.9581
Epoch 00004: val_accuracy improved from 0.93979 to 0.95812, saving model to best_model_vgg16_v4.h5
Epoch 5/250
84/83 [==============================] - 34s 401ms/step - loss: 0.1300 - accuracy: 0.9487 - val_loss: 0.0305 - val_accuracy: 0.9516
Epoch 00005: val_accuracy did not improve from 0.95812
Epoch 6/250
84/83 [==============================] - 34s 405ms/step - loss: 0.1218 - accuracy: 0.9514 - val_loss: 0.3253 - val_accuracy: 0.9516
Epoch 00006: val_accuracy did not improve from 0.95812
Epoch 7/250
84/83 [==============================] - 34s 403ms/step - loss: 0.1026 - accuracy: 0.9570 - val_loss: 0.3282 - val_accuracy: 0.9581
Epoch 00007: val_accuracy did not improve from 0.95812
Epoch 8/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0938 - accuracy: 0.9686 - val_loss: 0.0054 - val_accuracy: 0.9542
Epoch 00008: val_accuracy did not improve from 0.95812
Epoch 9/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0920 - accuracy: 0.9645 - val_loss: 0.0164 - val_accuracy: 0.9634
Epoch 00009: val_accuracy improved from 0.95812 to 0.96335, saving model to best_model_vgg16_v4.h5
Epoch 10/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0944 - accuracy: 0.9633 - val_loss: 0.0213 - val_accuracy: 0.9581
Epoch 00010: val_accuracy did not improve from 0.96335
Epoch 11/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0770 - accuracy: 0.9716 - val_loss: 1.4204 - val_accuracy: 0.9149
Epoch 00011: val_accuracy did not improve from 0.96335
Epoch 12/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0855 - accuracy: 0.9630 - val_loss: 0.6906 - val_accuracy: 0.9411
Epoch 00012: val_accuracy did not improve from 0.96335
Epoch 13/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0835 - accuracy: 0.9648 - val_loss: 0.1264 - val_accuracy: 0.9594
Epoch 00013: val_accuracy did not improve from 0.96335
Epoch 14/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0778 - accuracy: 0.9693 - val_loss: 0.3253 - val_accuracy: 0.9450
Epoch 00014: val_accuracy did not improve from 0.96335
Epoch 15/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0591 - accuracy: 0.9817 - val_loss: 2.2768e-05 - val_accuracy: 0.9529
Epoch 00015: val_accuracy did not improve from 0.96335
Epoch 16/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0783 - accuracy: 0.9701 - val_loss: 0.0775 - val_accuracy: 0.9594
Epoch 00016: val_accuracy did not improve from 0.96335
Epoch 17/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0607 - accuracy: 0.9772 - val_loss: 0.0040 - val_accuracy: 0.9686
Epoch 00017: val_accuracy improved from 0.96335 to 0.96859, saving model to best_model_vgg16_v4.h5
Epoch 18/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0633 - accuracy: 0.9749 - val_loss: 0.0534 - val_accuracy: 0.9411
Epoch 00018: val_accuracy did not improve from 0.96859
Epoch 19/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0602 - accuracy: 0.9746 - val_loss: 0.0278 - val_accuracy: 0.9490
Epoch 00019: val_accuracy did not improve from 0.96859
Epoch 20/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0714 - accuracy: 0.9697 - val_loss: 4.2263e-04 - val_accuracy: 0.9594
Epoch 00020: val_accuracy did not improve from 0.96859
Epoch 21/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0519 - accuracy: 0.9832 - val_loss: 1.0707 - val_accuracy: 0.9476
Epoch 00021: val_accuracy did not improve from 0.96859
Epoch 22/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0634 - accuracy: 0.9753 - val_loss: 1.3530e-04 - val_accuracy: 0.9647
Epoch 00022: val_accuracy did not improve from 0.96859
Epoch 23/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0681 - accuracy: 0.9712 - val_loss: 0.0112 - val_accuracy: 0.9686
Epoch 00023: val_accuracy did not improve from 0.96859
Epoch 24/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0674 - accuracy: 0.9719 - val_loss: 0.4273 - val_accuracy: 0.9463
Epoch 00024: val_accuracy did not improve from 0.96859
Epoch 25/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0424 - accuracy: 0.9832 - val_loss: 0.4898 - val_accuracy: 0.9620
Epoch 00025: val_accuracy did not improve from 0.96859
Epoch 26/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0405 - accuracy: 0.9854 - val_loss: 3.5279e-04 - val_accuracy: 0.9660
Epoch 00026: val_accuracy did not improve from 0.96859
Epoch 27/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0484 - accuracy: 0.9835 - val_loss: 0.0012 - val_accuracy: 0.9529
Epoch 00027: val_accuracy did not improve from 0.96859
Epoch 28/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0434 - accuracy: 0.9858 - val_loss: 0.1520 - val_accuracy: 0.9634
Epoch 00028: val_accuracy did not improve from 0.96859
Epoch 29/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0438 - accuracy: 0.9847 - val_loss: 0.0234 - val_accuracy: 0.9686
Epoch 00029: val_accuracy did not improve from 0.96859
Epoch 30/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0454 - accuracy: 0.9820 - val_loss: 0.0083 - val_accuracy: 0.9149
Epoch 00030: val_accuracy did not improve from 0.96859
Epoch 31/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0556 - accuracy: 0.9787 - val_loss: 2.7622e-04 - val_accuracy: 0.9529
Epoch 00031: val_accuracy did not improve from 0.96859
Epoch 32/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0409 - accuracy: 0.9839 - val_loss: 0.5157 - val_accuracy: 0.9634
Epoch 00032: val_accuracy did not improve from 0.96859
Epoch 33/250
84/83 [==============================] - 34s 402ms/step - loss: 0.0574 - accuracy: 0.9776 - val_loss: 0.0031 - val_accuracy: 0.9647
Epoch 00033: val_accuracy did not improve from 0.96859
Epoch 34/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0423 - accuracy: 0.9847 - val_loss: 0.0014 - val_accuracy: 0.9607
Epoch 00034: val_accuracy did not improve from 0.96859
Epoch 35/250
84/83 [==============================] - 35s 417ms/step - loss: 0.0352 - accuracy: 0.9854 - val_loss: 0.1410 - val_accuracy: 0.9411
Epoch 00035: val_accuracy did not improve from 0.96859
Epoch 36/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0284 - accuracy: 0.9918 - val_loss: 5.3644e-07 - val_accuracy: 0.9555
Epoch 00036: val_accuracy did not improve from 0.96859
Epoch 37/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0450 - accuracy: 0.9832 - val_loss: 0.0030 - val_accuracy: 0.9634
Epoch 00037: val_accuracy did not improve from 0.96859
Epoch 38/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0384 - accuracy: 0.9862 - val_loss: 1.5972e-04 - val_accuracy: 0.9490
Epoch 00038: val_accuracy did not improve from 0.96859
Epoch 39/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0288 - accuracy: 0.9910 - val_loss: 0.0011 - val_accuracy: 0.9634
Epoch 00039: val_accuracy did not improve from 0.96859
Epoch 40/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0512 - accuracy: 0.9794 - val_loss: 2.6046e-05 - val_accuracy: 0.9254
Epoch 00040: val_accuracy did not improve from 0.96859
Epoch 41/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0506 - accuracy: 0.9790 - val_loss: 9.6528e-04 - val_accuracy: 0.9660
Epoch 00041: val_accuracy did not improve from 0.96859
Epoch 42/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0329 - accuracy: 0.9880 - val_loss: 4.4838e-04 - val_accuracy: 0.9594
Epoch 00042: val_accuracy did not improve from 0.96859
Epoch 43/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0421 - accuracy: 0.9858 - val_loss: 1.4395e-04 - val_accuracy: 0.9620
Epoch 00043: val_accuracy did not improve from 0.96859
Epoch 44/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0409 - accuracy: 0.9839 - val_loss: 3.7489e-05 - val_accuracy: 0.9581
Epoch 00044: val_accuracy did not improve from 0.96859
Epoch 45/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0334 - accuracy: 0.9895 - val_loss: 0.2406 - val_accuracy: 0.9620
Epoch 00045: val_accuracy did not improve from 0.96859
Epoch 46/250
84/83 [==============================] - 34s 402ms/step - loss: 0.0318 - accuracy: 0.9888 - val_loss: 0.0017 - val_accuracy: 0.9581
Epoch 00046: val_accuracy did not improve from 0.96859
Epoch 47/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0307 - accuracy: 0.9888 - val_loss: 3.2514e-04 - val_accuracy: 0.9476
Epoch 00047: val_accuracy did not improve from 0.96859
Epoch 48/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0256 - accuracy: 0.9906 - val_loss: 0.0493 - val_accuracy: 0.9581
Epoch 00048: val_accuracy did not improve from 0.96859
Epoch 49/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0338 - accuracy: 0.9877 - val_loss: 0.2088 - val_accuracy: 0.9594
Epoch 00049: val_accuracy did not improve from 0.96859
Epoch 50/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0193 - accuracy: 0.9948 - val_loss: 6.1543e-04 - val_accuracy: 0.9634
Epoch 00050: val_accuracy did not improve from 0.96859
Epoch 51/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0230 - accuracy: 0.9903 - val_loss: 0.8584 - val_accuracy: 0.9620
Epoch 00051: val_accuracy did not improve from 0.96859
Epoch 52/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0312 - accuracy: 0.9884 - val_loss: 8.7039e-04 - val_accuracy: 0.9594
Epoch 00052: val_accuracy did not improve from 0.96859
Epoch 53/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0380 - accuracy: 0.9858 - val_loss: 1.1712e-05 - val_accuracy: 0.9568
Epoch 00053: val_accuracy did not improve from 0.96859
Epoch 54/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0471 - accuracy: 0.9798 - val_loss: 4.9697e-04 - val_accuracy: 0.9385
Epoch 00054: val_accuracy did not improve from 0.96859
Epoch 55/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0351 - accuracy: 0.9877 - val_loss: 8.9362e-05 - val_accuracy: 0.9634
Epoch 00055: val_accuracy did not improve from 0.96859
Epoch 56/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0298 - accuracy: 0.9899 - val_loss: 8.0763e-06 - val_accuracy: 0.9673
Epoch 00056: val_accuracy did not improve from 0.96859
Epoch 57/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0303 - accuracy: 0.9914 - val_loss: 2.0265e-05 - val_accuracy: 0.9620
Epoch 00057: val_accuracy did not improve from 0.96859
Epoch 58/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0230 - accuracy: 0.9903 - val_loss: 1.1921e-07 - val_accuracy: 0.9542
Epoch 00058: val_accuracy did not improve from 0.96859
Epoch 59/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0238 - accuracy: 0.9903 - val_loss: 1.1384e-05 - val_accuracy: 0.9594
Epoch 00059: val_accuracy did not improve from 0.96859
Epoch 60/250
84/83 [==============================] - 35s 411ms/step - loss: 0.0302 - accuracy: 0.9895 - val_loss: 0.0021 - val_accuracy: 0.9581
Epoch 00060: val_accuracy did not improve from 0.96859
Epoch 61/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0247 - accuracy: 0.9910 - val_loss: 0.0000e+00 - val_accuracy: 0.9463
Epoch 00061: val_accuracy did not improve from 0.96859
Epoch 62/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0222 - accuracy: 0.9921 - val_loss: 1.1930e-04 - val_accuracy: 0.9555
Epoch 00062: val_accuracy did not improve from 0.96859
Epoch 63/250
84/83 [==============================] - 35s 414ms/step - loss: 0.0270 - accuracy: 0.9910 - val_loss: 0.0010 - val_accuracy: 0.9673
Epoch 00063: val_accuracy did not improve from 0.96859
Epoch 64/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0216 - accuracy: 0.9914 - val_loss: 3.6965e-04 - val_accuracy: 0.9673
Epoch 00064: val_accuracy did not improve from 0.96859
Epoch 65/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0227 - accuracy: 0.9910 - val_loss: 8.2084e-04 - val_accuracy: 0.9673
Epoch 00065: val_accuracy did not improve from 0.96859
Epoch 66/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0178 - accuracy: 0.9951 - val_loss: 0.0016 - val_accuracy: 0.9594
Epoch 00066: val_accuracy did not improve from 0.96859
Epoch 67/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0186 - accuracy: 0.9936 - val_loss: 0.0019 - val_accuracy: 0.9568
Epoch 00067: val_accuracy did not improve from 0.96859
Epoch 68/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0267 - accuracy: 0.9895 - val_loss: 5.0664e-07 - val_accuracy: 0.9686
Epoch 00068: val_accuracy did not improve from 0.96859
Epoch 69/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0325 - accuracy: 0.9877 - val_loss: 0.7527 - val_accuracy: 0.9725
Epoch 00069: val_accuracy improved from 0.96859 to 0.97251, saving model to best_model_vgg16_v4.h5
Epoch 70/250
84/83 [==============================] - 34s 404ms/step - loss: 0.0231 - accuracy: 0.9929 - val_loss: 4.7951e-04 - val_accuracy: 0.9607
Epoch 00070: val_accuracy did not improve from 0.97251
Epoch 71/250
84/83 [==============================] - 36s 425ms/step - loss: 0.0186 - accuracy: 0.9929 - val_loss: 1.8477e-06 - val_accuracy: 0.9359
Epoch 00071: val_accuracy did not improve from 0.97251
Epoch 72/250
84/83 [==============================] - 34s 403ms/step - loss: 0.0322 - accuracy: 0.9873 - val_loss: 1.9907e-05 - val_accuracy: 0.9673
Epoch 00072: val_accuracy did not improve from 0.97251
Epoch 73/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0357 - accuracy: 0.9858 - val_loss: 1.0133e-06 - val_accuracy: 0.9660
Epoch 00073: val_accuracy did not improve from 0.97251
Epoch 74/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0131 - accuracy: 0.9951 - val_loss: 7.5101e-06 - val_accuracy: 0.9660
Epoch 00074: val_accuracy did not improve from 0.97251
Epoch 75/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0303 - accuracy: 0.9877 - val_loss: 0.1199 - val_accuracy: 0.9594
Epoch 00075: val_accuracy did not improve from 0.97251
Epoch 76/250
84/83 [==============================] - 34s 409ms/step - loss: 0.0194 - accuracy: 0.9929 - val_loss: 4.7633e-04 - val_accuracy: 0.9660
Epoch 00076: val_accuracy did not improve from 0.97251
Epoch 77/250
84/83 [==============================] - 34s 409ms/step - loss: 0.0129 - accuracy: 0.9970 - val_loss: 2.3170e-04 - val_accuracy: 0.9346
Epoch 00077: val_accuracy did not improve from 0.97251
Epoch 78/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0151 - accuracy: 0.9955 - val_loss: 0.0059 - val_accuracy: 0.9699
Epoch 00078: val_accuracy did not improve from 0.97251
Epoch 79/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0135 - accuracy: 0.9955 - val_loss: 1.0431e-06 - val_accuracy: 0.9620
Epoch 00079: val_accuracy did not improve from 0.97251
Epoch 80/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0228 - accuracy: 0.9910 - val_loss: 8.0465e-06 - val_accuracy: 0.9607
Epoch 00080: val_accuracy did not improve from 0.97251
Epoch 81/250
84/83 [==============================] - 34s 405ms/step - loss: 0.0261 - accuracy: 0.9899 - val_loss: 8.3446e-07 - val_accuracy: 0.9620
Epoch 00081: val_accuracy did not improve from 0.97251
Epoch 82/250
84/83 [==============================] - 35s 412ms/step - loss: 0.0441 - accuracy: 0.9835 - val_loss: 0.0000e+00 - val_accuracy: 0.9476
Epoch 00082: val_accuracy did not improve from 0.97251
Epoch 83/250
84/83 [==============================] - 35s 413ms/step - loss: 0.0235 - accuracy: 0.9918 - val_loss: 1.4901e-07 - val_accuracy: 0.9123
Epoch 00083: val_accuracy did not improve from 0.97251
Epoch 84/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0578 - accuracy: 0.9802 - val_loss: 4.3511e-06 - val_accuracy: 0.9372
Epoch 00084: val_accuracy did not improve from 0.97251
Epoch 85/250
84/83 [==============================] - 35s 416ms/step - loss: 0.0294 - accuracy: 0.9888 - val_loss: 0.0417 - val_accuracy: 0.9476
Epoch 00085: val_accuracy did not improve from 0.97251
Epoch 86/250
84/83 [==============================] - 35s 415ms/step - loss: 0.0237 - accuracy: 0.9906 - val_loss: 2.2054e-06 - val_accuracy: 0.9673
Epoch 00086: val_accuracy did not improve from 0.97251
Epoch 87/250
84/83 [==============================] - 35s 416ms/step - loss: 0.0221 - accuracy: 0.9929 - val_loss: 0.0378 - val_accuracy: 0.9699
Epoch 00087: val_accuracy did not improve from 0.97251
Epoch 88/250
84/83 [==============================] - 35s 415ms/step - loss: 0.0269 - accuracy: 0.9892 - val_loss: 1.1671e-04 - val_accuracy: 0.9607
Epoch 00088: val_accuracy did not improve from 0.97251
Epoch 89/250
84/83 [==============================] - 36s 433ms/step - loss: 0.0159 - accuracy: 0.9944 - val_loss: 1.2860 - val_accuracy: 0.9686
Epoch 00089: val_accuracy did not improve from 0.97251
Epoch 90/250
84/83 [==============================] - 35s 414ms/step - loss: 0.0220 - accuracy: 0.9918 - val_loss: 4.4703e-07 - val_accuracy: 0.9620
Epoch 00090: val_accuracy did not improve from 0.97251
Epoch 91/250
84/83 [==============================] - 34s 406ms/step - loss: 0.0140 - accuracy: 0.9944 - val_loss: 0.1796 - val_accuracy: 0.9555
Epoch 00091: val_accuracy did not improve from 0.97251
Epoch 92/250
84/83 [==============================] - 35s 411ms/step - loss: 0.0111 - accuracy: 0.9959 - val_loss: 0.0096 - val_accuracy: 0.9699
Epoch 00092: val_accuracy did not improve from 0.97251
Epoch 93/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0200 - accuracy: 0.9925 - val_loss: 3.4500e-04 - val_accuracy: 0.9647
Epoch 00093: val_accuracy did not improve from 0.97251
Epoch 94/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0153 - accuracy: 0.9940 - val_loss: 0.0072 - val_accuracy: 0.9634
Epoch 00094: val_accuracy did not improve from 0.97251
Epoch 95/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0103 - accuracy: 0.9978 - val_loss: 0.2631 - val_accuracy: 0.9490
Epoch 00095: val_accuracy did not improve from 0.97251
Epoch 96/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0123 - accuracy: 0.9963 - val_loss: 2.7024 - val_accuracy: 0.9568
Epoch 00096: val_accuracy did not improve from 0.97251
Epoch 97/250
84/83 [==============================] - 35s 411ms/step - loss: 0.0409 - accuracy: 0.9850 - val_loss: 0.0648 - val_accuracy: 0.9359
Epoch 00097: val_accuracy did not improve from 0.97251
Epoch 98/250
84/83 [==============================] - 34s 409ms/step - loss: 0.0373 - accuracy: 0.9854 - val_loss: 2.0414e-05 - val_accuracy: 0.9607
Epoch 00098: val_accuracy did not improve from 0.97251
Epoch 99/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0274 - accuracy: 0.9895 - val_loss: 3.0696e-06 - val_accuracy: 0.9647
Epoch 00099: val_accuracy did not improve from 0.97251
Epoch 100/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0236 - accuracy: 0.9906 - val_loss: 5.4836e-06 - val_accuracy: 0.9568
Epoch 00100: val_accuracy did not improve from 0.97251
Epoch 101/250
84/83 [==============================] - 35s 412ms/step - loss: 0.0170 - accuracy: 0.9936 - val_loss: 0.8886 - val_accuracy: 0.9018
Epoch 00101: val_accuracy did not improve from 0.97251
Epoch 102/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0202 - accuracy: 0.9921 - val_loss: 0.0892 - val_accuracy: 0.9647
Epoch 00102: val_accuracy did not improve from 0.97251
Epoch 103/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0128 - accuracy: 0.9944 - val_loss: 0.0014 - val_accuracy: 0.9712
Epoch 00103: val_accuracy did not improve from 0.97251
Epoch 104/250
84/83 [==============================] - 34s 407ms/step - loss: 0.0193 - accuracy: 0.9929 - val_loss: 0.6085 - val_accuracy: 0.9594
Epoch 00104: val_accuracy did not improve from 0.97251
Epoch 105/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0528 - accuracy: 0.9817 - val_loss: 1.8093e-04 - val_accuracy: 0.9542
Epoch 00105: val_accuracy did not improve from 0.97251
Epoch 106/250
84/83 [==============================] - 34s 409ms/step - loss: 0.0655 - accuracy: 0.9787 - val_loss: 0.0036 - val_accuracy: 0.9437
Epoch 00106: val_accuracy did not improve from 0.97251
Epoch 107/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0137 - accuracy: 0.9963 - val_loss: 8.9407e-08 - val_accuracy: 0.9581
Epoch 00107: val_accuracy did not improve from 0.97251
Epoch 108/250
84/83 [==============================] - 34s 409ms/step - loss: 0.0124 - accuracy: 0.9955 - val_loss: 0.0000e+00 - val_accuracy: 0.9568
Epoch 00108: val_accuracy did not improve from 0.97251
Epoch 109/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0163 - accuracy: 0.9944 - val_loss: 9.8686e-05 - val_accuracy: 0.9673
Epoch 00109: val_accuracy did not improve from 0.97251
Epoch 110/250
84/83 [==============================] - 34s 408ms/step - loss: 0.0141 - accuracy: 0.9948 - val_loss: 1.1581 - val_accuracy: 0.9699
Epoch 00110: val_accuracy did not improve from 0.97251
Epoch 111/250
84/83 [==============================] - 34s 410ms/step - loss: 0.0238 - accuracy: 0.9929 - val_loss: 0.0029 - val_accuracy: 0.9529
Epoch 00111: val_accuracy did not improve from 0.97251
Epoch 00111: early stopping