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Epoch 103/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0907 - sparse_categorical_accuracy: 0.9701 - val_loss: 0.1117 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 104/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0959 - sparse_categorical_accuracy: 0.9674 - val_loss: 3.9192 - val_sparse_categorical_accuracy: 0.4993 |
Epoch 105/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0991 - sparse_categorical_accuracy: 0.9632 - val_loss: 0.1232 - val_sparse_categorical_accuracy: 0.9473 |
Epoch 106/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0953 - sparse_categorical_accuracy: 0.9653 - val_loss: 0.1328 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 107/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0835 - sparse_categorical_accuracy: 0.9750 - val_loss: 0.1480 - val_sparse_categorical_accuracy: 0.9542 |
Epoch 108/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0865 - sparse_categorical_accuracy: 0.9701 - val_loss: 0.1095 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 109/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0940 - sparse_categorical_accuracy: 0.9681 - val_loss: 3.4316 - val_sparse_categorical_accuracy: 0.6422 |
Epoch 110/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1015 - sparse_categorical_accuracy: 0.9632 - val_loss: 4.1126 - val_sparse_categorical_accuracy: 0.4965 |
Epoch 111/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0882 - sparse_categorical_accuracy: 0.9698 - val_loss: 0.1968 - val_sparse_categorical_accuracy: 0.9390 |
Epoch 112/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0778 - sparse_categorical_accuracy: 0.9764 - val_loss: 0.1051 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 113/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0784 - sparse_categorical_accuracy: 0.9743 - val_loss: 0.1120 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 114/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0765 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1347 - val_sparse_categorical_accuracy: 0.9556 |
Epoch 115/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0771 - sparse_categorical_accuracy: 0.9736 - val_loss: 0.1268 - val_sparse_categorical_accuracy: 0.9556 |
Epoch 116/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0787 - sparse_categorical_accuracy: 0.9743 - val_loss: 0.1014 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 117/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0802 - sparse_categorical_accuracy: 0.9726 - val_loss: 0.0995 - val_sparse_categorical_accuracy: 0.9695 |
Epoch 118/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0770 - sparse_categorical_accuracy: 0.9774 - val_loss: 0.1022 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 119/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0758 - sparse_categorical_accuracy: 0.9764 - val_loss: 0.2318 - val_sparse_categorical_accuracy: 0.9098 |
Epoch 120/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0751 - sparse_categorical_accuracy: 0.9750 - val_loss: 0.3361 - val_sparse_categorical_accuracy: 0.8793 |
Epoch 121/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0708 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1739 - val_sparse_categorical_accuracy: 0.9362 |
Epoch 122/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0764 - sparse_categorical_accuracy: 0.9753 - val_loss: 0.1351 - val_sparse_categorical_accuracy: 0.9556 |
Epoch 123/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.0724 - sparse_categorical_accuracy: 0.9750 - val_loss: 0.1064 - val_sparse_categorical_accuracy: 0.9556 |
Epoch 124/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0788 - sparse_categorical_accuracy: 0.9736 - val_loss: 0.1159 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 125/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0806 - sparse_categorical_accuracy: 0.9719 - val_loss: 0.1268 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 126/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0755 - sparse_categorical_accuracy: 0.9753 - val_loss: 0.1175 - val_sparse_categorical_accuracy: 0.9528 |
Epoch 127/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0741 - sparse_categorical_accuracy: 0.9757 - val_loss: 0.1049 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 128/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0720 - sparse_categorical_accuracy: 0.9767 - val_loss: 0.1756 - val_sparse_categorical_accuracy: 0.9376 |
Epoch 129/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0734 - sparse_categorical_accuracy: 0.9757 - val_loss: 0.1165 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 130/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0743 - sparse_categorical_accuracy: 0.9778 - val_loss: 0.1398 - val_sparse_categorical_accuracy: 0.9417 |
Epoch 131/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0764 - sparse_categorical_accuracy: 0.9726 - val_loss: 0.1193 - val_sparse_categorical_accuracy: 0.9459 |
Epoch 132/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0741 - sparse_categorical_accuracy: 0.9747 - val_loss: 0.1661 - val_sparse_categorical_accuracy: 0.9473 |
Epoch 133/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0677 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1016 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 134/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0673 - sparse_categorical_accuracy: 0.9778 - val_loss: 0.1049 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 135/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0681 - sparse_categorical_accuracy: 0.9802 - val_loss: 0.1109 - val_sparse_categorical_accuracy: 0.9515 |
Epoch 136/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0673 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.1198 - val_sparse_categorical_accuracy: 0.9542 |
Epoch 137/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0679 - sparse_categorical_accuracy: 0.9767 - val_loss: 0.1130 - val_sparse_categorical_accuracy: 0.9528 |
Epoch 138/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0717 - sparse_categorical_accuracy: 0.9774 - val_loss: 0.1009 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 139/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0657 - sparse_categorical_accuracy: 0.9771 - val_loss: 0.1046 - val_sparse_categorical_accuracy: 0.9528 |
Epoch 140/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0711 - sparse_categorical_accuracy: 0.9767 - val_loss: 0.0977 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 141/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0719 - sparse_categorical_accuracy: 0.9774 - val_loss: 0.1071 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 142/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0663 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.1027 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 143/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0699 - sparse_categorical_accuracy: 0.9781 - val_loss: 0.1131 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 144/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0670 - sparse_categorical_accuracy: 0.9771 - val_loss: 0.1025 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 145/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0653 - sparse_categorical_accuracy: 0.9785 - val_loss: 0.0935 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 146/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0616 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.1075 - val_sparse_categorical_accuracy: 0.9556 |
Epoch 147/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0643 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0960 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 148/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0681 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.0944 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 149/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0661 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1311 - val_sparse_categorical_accuracy: 0.9501 |
Epoch 150/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0693 - sparse_categorical_accuracy: 0.9781 - val_loss: 0.1715 - val_sparse_categorical_accuracy: 0.9390 |
Epoch 151/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0658 - sparse_categorical_accuracy: 0.9802 - val_loss: 0.1010 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 152/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0652 - sparse_categorical_accuracy: 0.9778 - val_loss: 0.0949 - val_sparse_categorical_accuracy: 0.9639 |
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