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Epoch 3/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.4404 - sparse_categorical_accuracy: 0.7733 - val_loss: 0.7706 - val_sparse_categorical_accuracy: 0.4882 |
Epoch 4/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.4234 - sparse_categorical_accuracy: 0.7899 - val_loss: 0.9741 - val_sparse_categorical_accuracy: 0.4882 |
Epoch 5/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.4180 - sparse_categorical_accuracy: 0.7972 - val_loss: 0.6679 - val_sparse_categorical_accuracy: 0.5936 |
Epoch 6/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3988 - sparse_categorical_accuracy: 0.8066 - val_loss: 0.5399 - val_sparse_categorical_accuracy: 0.6990 |
Epoch 7/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.4012 - sparse_categorical_accuracy: 0.8024 - val_loss: 0.4051 - val_sparse_categorical_accuracy: 0.8225 |
Epoch 8/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3903 - sparse_categorical_accuracy: 0.8080 - val_loss: 0.9671 - val_sparse_categorical_accuracy: 0.5340 |
Epoch 9/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3948 - sparse_categorical_accuracy: 0.7986 - val_loss: 0.5778 - val_sparse_categorical_accuracy: 0.6436 |
Epoch 10/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3731 - sparse_categorical_accuracy: 0.8260 - val_loss: 0.4307 - val_sparse_categorical_accuracy: 0.7698 |
Epoch 11/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3645 - sparse_categorical_accuracy: 0.8260 - val_loss: 0.4010 - val_sparse_categorical_accuracy: 0.7698 |
Epoch 12/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3666 - sparse_categorical_accuracy: 0.8247 - val_loss: 0.3574 - val_sparse_categorical_accuracy: 0.8350 |
Epoch 13/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3618 - sparse_categorical_accuracy: 0.8271 - val_loss: 0.3942 - val_sparse_categorical_accuracy: 0.8044 |
Epoch 14/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3619 - sparse_categorical_accuracy: 0.8257 - val_loss: 0.4104 - val_sparse_categorical_accuracy: 0.7906 |
Epoch 15/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3353 - sparse_categorical_accuracy: 0.8521 - val_loss: 0.3819 - val_sparse_categorical_accuracy: 0.7684 |
Epoch 16/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3287 - sparse_categorical_accuracy: 0.8514 - val_loss: 0.3776 - val_sparse_categorical_accuracy: 0.8252 |
Epoch 17/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3299 - sparse_categorical_accuracy: 0.8545 - val_loss: 0.3555 - val_sparse_categorical_accuracy: 0.8350 |
Epoch 18/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3206 - sparse_categorical_accuracy: 0.8601 - val_loss: 0.4051 - val_sparse_categorical_accuracy: 0.7906 |
Epoch 19/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3125 - sparse_categorical_accuracy: 0.8608 - val_loss: 0.3792 - val_sparse_categorical_accuracy: 0.8114 |
Epoch 20/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3052 - sparse_categorical_accuracy: 0.8750 - val_loss: 0.3448 - val_sparse_categorical_accuracy: 0.8377 |
Epoch 21/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.3023 - sparse_categorical_accuracy: 0.8736 - val_loss: 0.3325 - val_sparse_categorical_accuracy: 0.8363 |
Epoch 22/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2955 - sparse_categorical_accuracy: 0.8736 - val_loss: 0.3447 - val_sparse_categorical_accuracy: 0.8225 |
Epoch 23/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2934 - sparse_categorical_accuracy: 0.8788 - val_loss: 0.2943 - val_sparse_categorical_accuracy: 0.8779 |
Epoch 24/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2972 - sparse_categorical_accuracy: 0.8715 - val_loss: 0.4946 - val_sparse_categorical_accuracy: 0.7462 |
Epoch 25/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2800 - sparse_categorical_accuracy: 0.8865 - val_loss: 0.2860 - val_sparse_categorical_accuracy: 0.8821 |
Epoch 26/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2752 - sparse_categorical_accuracy: 0.8847 - val_loss: 0.2924 - val_sparse_categorical_accuracy: 0.8655 |
Epoch 27/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2769 - sparse_categorical_accuracy: 0.8847 - val_loss: 0.6254 - val_sparse_categorical_accuracy: 0.6879 |
Epoch 28/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2821 - sparse_categorical_accuracy: 0.8799 - val_loss: 0.2764 - val_sparse_categorical_accuracy: 0.8821 |
Epoch 29/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2713 - sparse_categorical_accuracy: 0.8892 - val_loss: 0.7015 - val_sparse_categorical_accuracy: 0.6422 |
Epoch 30/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2633 - sparse_categorical_accuracy: 0.8885 - val_loss: 0.8508 - val_sparse_categorical_accuracy: 0.7254 |
Epoch 31/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2673 - sparse_categorical_accuracy: 0.8896 - val_loss: 0.4354 - val_sparse_categorical_accuracy: 0.7725 |
Epoch 32/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2518 - sparse_categorical_accuracy: 0.8997 - val_loss: 0.9172 - val_sparse_categorical_accuracy: 0.6394 |
Epoch 33/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2484 - sparse_categorical_accuracy: 0.9024 - val_loss: 0.5055 - val_sparse_categorical_accuracy: 0.7531 |
Epoch 34/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2352 - sparse_categorical_accuracy: 0.9059 - val_loss: 0.6289 - val_sparse_categorical_accuracy: 0.7115 |
Epoch 35/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2389 - sparse_categorical_accuracy: 0.9104 - val_loss: 0.2776 - val_sparse_categorical_accuracy: 0.8946 |
Epoch 36/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2218 - sparse_categorical_accuracy: 0.9122 - val_loss: 1.3105 - val_sparse_categorical_accuracy: 0.6408 |
Epoch 37/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2237 - sparse_categorical_accuracy: 0.9125 - val_loss: 0.4860 - val_sparse_categorical_accuracy: 0.7628 |
Epoch 38/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.2008 - sparse_categorical_accuracy: 0.9281 - val_loss: 0.5553 - val_sparse_categorical_accuracy: 0.7226 |
Epoch 39/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1999 - sparse_categorical_accuracy: 0.9233 - val_loss: 0.4511 - val_sparse_categorical_accuracy: 0.8058 |
Epoch 40/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.1857 - sparse_categorical_accuracy: 0.9330 - val_loss: 0.2912 - val_sparse_categorical_accuracy: 0.8516 |
Epoch 41/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1736 - sparse_categorical_accuracy: 0.9399 - val_loss: 0.9930 - val_sparse_categorical_accuracy: 0.5506 |
Epoch 42/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1649 - sparse_categorical_accuracy: 0.9396 - val_loss: 0.5852 - val_sparse_categorical_accuracy: 0.7198 |
Epoch 43/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1501 - sparse_categorical_accuracy: 0.9538 - val_loss: 0.1911 - val_sparse_categorical_accuracy: 0.9168 |
Epoch 44/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1512 - sparse_categorical_accuracy: 0.9455 - val_loss: 0.8169 - val_sparse_categorical_accuracy: 0.6130 |
Epoch 45/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1358 - sparse_categorical_accuracy: 0.9552 - val_loss: 0.4748 - val_sparse_categorical_accuracy: 0.7795 |
Epoch 46/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1401 - sparse_categorical_accuracy: 0.9535 - val_loss: 1.7678 - val_sparse_categorical_accuracy: 0.5881 |
Epoch 47/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1444 - sparse_categorical_accuracy: 0.9545 - val_loss: 1.7005 - val_sparse_categorical_accuracy: 0.5950 |
Epoch 48/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1320 - sparse_categorical_accuracy: 0.9542 - val_loss: 0.1550 - val_sparse_categorical_accuracy: 0.9431 |
Epoch 49/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1333 - sparse_categorical_accuracy: 0.9576 - val_loss: 0.1665 - val_sparse_categorical_accuracy: 0.9362 |
Epoch 50/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1367 - sparse_categorical_accuracy: 0.9549 - val_loss: 0.4227 - val_sparse_categorical_accuracy: 0.8308 |
Epoch 51/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1391 - sparse_categorical_accuracy: 0.9503 - val_loss: 0.1729 - val_sparse_categorical_accuracy: 0.9390 |
Epoch 52/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.1237 - sparse_categorical_accuracy: 0.9573 - val_loss: 0.1338 - val_sparse_categorical_accuracy: 0.9487 |
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