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Epoch 253/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0525 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.1017 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 254/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0551 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0930 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 255/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0557 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0896 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 256/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.0494 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0908 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 257/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0492 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0953 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 258/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0525 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0923 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 259/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0514 - sparse_categorical_accuracy: 0.9854 - val_loss: 0.0937 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 260/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0511 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.0934 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 261/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0510 - sparse_categorical_accuracy: 0.9854 - val_loss: 0.0914 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 262/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0498 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0957 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 263/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0543 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0956 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 264/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0564 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.0917 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 265/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0529 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0928 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 266/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0564 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0978 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 267/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0497 - sparse_categorical_accuracy: 0.9868 - val_loss: 0.0917 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 268/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0538 - sparse_categorical_accuracy: 0.9795 - val_loss: 0.0913 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 269/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0497 - sparse_categorical_accuracy: 0.9875 - val_loss: 0.0928 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 270/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0553 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.0950 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 271/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0501 - sparse_categorical_accuracy: 0.9868 - val_loss: 0.0923 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 272/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0575 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0903 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 273/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0490 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.1155 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 274/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0553 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.0923 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 275/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0513 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0915 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 276/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0494 - sparse_categorical_accuracy: 0.9872 - val_loss: 0.0918 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 277/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0606 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.1049 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 278/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0488 - sparse_categorical_accuracy: 0.9858 - val_loss: 0.0936 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 279/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0535 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0934 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 280/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0493 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0997 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 281/500 |
90/90 [==============================] - 0s 5ms/step - loss: 0.0485 - sparse_categorical_accuracy: 0.9858 - val_loss: 0.0943 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 282/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0493 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0906 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 283/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0491 - sparse_categorical_accuracy: 0.9847 - val_loss: 0.0919 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 284/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0482 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0895 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 285/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0505 - sparse_categorical_accuracy: 0.9858 - val_loss: 0.0926 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 286/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0466 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0950 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 287/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0576 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0935 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 288/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0527 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0943 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 289/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0492 - sparse_categorical_accuracy: 0.9878 - val_loss: 0.0961 - val_sparse_categorical_accuracy: 0.9667 |
Epoch 290/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0466 - sparse_categorical_accuracy: 0.9882 - val_loss: 0.0947 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 291/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0498 - sparse_categorical_accuracy: 0.9844 - val_loss: 0.0936 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 292/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0489 - sparse_categorical_accuracy: 0.9858 - val_loss: 0.0922 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 293/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0499 - sparse_categorical_accuracy: 0.9878 - val_loss: 0.0907 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 294/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0511 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0892 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 295/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0502 - sparse_categorical_accuracy: 0.9868 - val_loss: 0.0946 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 296/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0504 - sparse_categorical_accuracy: 0.9865 - val_loss: 0.0902 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 297/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0532 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0908 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 298/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0526 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0950 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 299/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0478 - sparse_categorical_accuracy: 0.9851 - val_loss: 0.1001 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 300/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0543 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.0929 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 301/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0507 - sparse_categorical_accuracy: 0.9847 - val_loss: 0.0935 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 302/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0512 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.0897 - val_sparse_categorical_accuracy: 0.9612 |
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