text stringlengths 0 4.99k |
|---|
loss=\"sparse_categorical_crossentropy\", |
metrics=[\"accuracy\"], |
) |
model.fit(x_train, y_train, epochs=50, batch_size=2048, validation_split=0.1) |
Epoch 1/50 |
27/27 [==============================] - 1s 31ms/step - loss: 1.3838 - accuracy: 0.6598 - val_loss: 0.6603 - val_accuracy: 0.8688 |
Epoch 2/50 |
27/27 [==============================] - 1s 29ms/step - loss: 0.5872 - accuracy: 0.8547 - val_loss: 0.4188 - val_accuracy: 0.8977 |
Epoch 3/50 |
27/27 [==============================] - 1s 31ms/step - loss: 0.4481 - accuracy: 0.8782 - val_loss: 0.3434 - val_accuracy: 0.9113 |
Epoch 4/50 |
27/27 [==============================] - 1s 32ms/step - loss: 0.3857 - accuracy: 0.8933 - val_loss: 0.3149 - val_accuracy: 0.9115 |
Epoch 5/50 |
27/27 [==============================] - 1s 30ms/step - loss: 0.3482 - accuracy: 0.9020 - val_loss: 0.2752 - val_accuracy: 0.9248 |
Epoch 6/50 |
27/27 [==============================] - 1s 34ms/step - loss: 0.3219 - accuracy: 0.9091 - val_loss: 0.2549 - val_accuracy: 0.9287 |
Epoch 7/50 |
27/27 [==============================] - 1s 30ms/step - loss: 0.3023 - accuracy: 0.9147 - val_loss: 0.2480 - val_accuracy: 0.9305 |
Epoch 8/50 |
27/27 [==============================] - 1s 33ms/step - loss: 0.2866 - accuracy: 0.9188 - val_loss: 0.2327 - val_accuracy: 0.9362 |
Epoch 9/50 |
27/27 [==============================] - 1s 39ms/step - loss: 0.2733 - accuracy: 0.9228 - val_loss: 0.2226 - val_accuracy: 0.9383 |
Epoch 10/50 |
27/27 [==============================] - 1s 33ms/step - loss: 0.2613 - accuracy: 0.9267 - val_loss: 0.2147 - val_accuracy: 0.9420 |
Epoch 11/50 |
27/27 [==============================] - 1s 34ms/step - loss: 0.2509 - accuracy: 0.9294 - val_loss: 0.2049 - val_accuracy: 0.9447 |
Epoch 12/50 |
27/27 [==============================] - 1s 32ms/step - loss: 0.2417 - accuracy: 0.9324 - val_loss: 0.1978 - val_accuracy: 0.9455 |
Epoch 13/50 |
27/27 [==============================] - 1s 32ms/step - loss: 0.2330 - accuracy: 0.9345 - val_loss: 0.1906 - val_accuracy: 0.9488 |
Epoch 14/50 |
27/27 [==============================] - 1s 34ms/step - loss: 0.2252 - accuracy: 0.9372 - val_loss: 0.1853 - val_accuracy: 0.9508 |
Epoch 15/50 |
27/27 [==============================] - 1s 34ms/step - loss: 0.2184 - accuracy: 0.9392 - val_loss: 0.1805 - val_accuracy: 0.9523 |
Epoch 16/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.2113 - accuracy: 0.9413 - val_loss: 0.1760 - val_accuracy: 0.9518 |
Epoch 17/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.2055 - accuracy: 0.9427 - val_loss: 0.1709 - val_accuracy: 0.9552 |
Epoch 18/50 |
27/27 [==============================] - 1s 42ms/step - loss: 0.1998 - accuracy: 0.9441 - val_loss: 0.1669 - val_accuracy: 0.9567 |
Epoch 19/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1944 - accuracy: 0.9458 - val_loss: 0.1625 - val_accuracy: 0.9577 |
Epoch 20/50 |
27/27 [==============================] - 1s 33ms/step - loss: 0.1891 - accuracy: 0.9471 - val_loss: 0.1580 - val_accuracy: 0.9585 |
Epoch 21/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1846 - accuracy: 0.9484 - val_loss: 0.1564 - val_accuracy: 0.9603 |
Epoch 22/50 |
27/27 [==============================] - 1s 41ms/step - loss: 0.1804 - accuracy: 0.9498 - val_loss: 0.1518 - val_accuracy: 0.9622 |
Epoch 23/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.1762 - accuracy: 0.9507 - val_loss: 0.1485 - val_accuracy: 0.9628 |
Epoch 24/50 |
27/27 [==============================] - 1s 41ms/step - loss: 0.1722 - accuracy: 0.9521 - val_loss: 0.1461 - val_accuracy: 0.9623 |
Epoch 25/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1686 - accuracy: 0.9534 - val_loss: 0.1434 - val_accuracy: 0.9633 |
Epoch 26/50 |
27/27 [==============================] - 1s 35ms/step - loss: 0.1652 - accuracy: 0.9542 - val_loss: 0.1419 - val_accuracy: 0.9637 |
Epoch 27/50 |
27/27 [==============================] - 1s 34ms/step - loss: 0.1618 - accuracy: 0.9550 - val_loss: 0.1397 - val_accuracy: 0.9633 |
Epoch 28/50 |
27/27 [==============================] - 1s 35ms/step - loss: 0.1589 - accuracy: 0.9556 - val_loss: 0.1371 - val_accuracy: 0.9647 |
Epoch 29/50 |
27/27 [==============================] - 1s 37ms/step - loss: 0.1561 - accuracy: 0.9566 - val_loss: 0.1350 - val_accuracy: 0.9650 |
Epoch 30/50 |
27/27 [==============================] - 1s 41ms/step - loss: 0.1534 - accuracy: 0.9574 - val_loss: 0.1331 - val_accuracy: 0.9655 |
Epoch 31/50 |
27/27 [==============================] - 1s 39ms/step - loss: 0.1508 - accuracy: 0.9583 - val_loss: 0.1319 - val_accuracy: 0.9660 |
Epoch 32/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1484 - accuracy: 0.9589 - val_loss: 0.1314 - val_accuracy: 0.9667 |
Epoch 33/50 |
27/27 [==============================] - 1s 39ms/step - loss: 0.1463 - accuracy: 0.9597 - val_loss: 0.1290 - val_accuracy: 0.9668 |
Epoch 34/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1439 - accuracy: 0.9600 - val_loss: 0.1268 - val_accuracy: 0.9675 |
Epoch 35/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1418 - accuracy: 0.9608 - val_loss: 0.1256 - val_accuracy: 0.9677 |
Epoch 36/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.1397 - accuracy: 0.9614 - val_loss: 0.1245 - val_accuracy: 0.9685 |
Epoch 37/50 |
27/27 [==============================] - 1s 35ms/step - loss: 0.1378 - accuracy: 0.9625 - val_loss: 0.1223 - val_accuracy: 0.9683 |
Epoch 38/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.1362 - accuracy: 0.9620 - val_loss: 0.1216 - val_accuracy: 0.9695 |
Epoch 39/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.1344 - accuracy: 0.9628 - val_loss: 0.1207 - val_accuracy: 0.9685 |
Epoch 40/50 |
27/27 [==============================] - 1s 37ms/step - loss: 0.1327 - accuracy: 0.9634 - val_loss: 0.1192 - val_accuracy: 0.9692 |
Epoch 41/50 |
27/27 [==============================] - 1s 41ms/step - loss: 0.1309 - accuracy: 0.9635 - val_loss: 0.1179 - val_accuracy: 0.9695 |
Epoch 42/50 |
27/27 [==============================] - 1s 39ms/step - loss: 0.1294 - accuracy: 0.9641 - val_loss: 0.1173 - val_accuracy: 0.9695 |
Epoch 43/50 |
27/27 [==============================] - 1s 41ms/step - loss: 0.1281 - accuracy: 0.9646 - val_loss: 0.1160 - val_accuracy: 0.9705 |
Epoch 44/50 |
27/27 [==============================] - 1s 42ms/step - loss: 0.1265 - accuracy: 0.9650 - val_loss: 0.1158 - val_accuracy: 0.9700 |
Epoch 45/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1251 - accuracy: 0.9654 - val_loss: 0.1149 - val_accuracy: 0.9695 |
Epoch 46/50 |
27/27 [==============================] - 1s 39ms/step - loss: 0.1237 - accuracy: 0.9658 - val_loss: 0.1140 - val_accuracy: 0.9700 |
Epoch 47/50 |
27/27 [==============================] - 1s 40ms/step - loss: 0.1224 - accuracy: 0.9664 - val_loss: 0.1128 - val_accuracy: 0.9707 |
Epoch 48/50 |
27/27 [==============================] - 1s 38ms/step - loss: 0.1211 - accuracy: 0.9664 - val_loss: 0.1122 - val_accuracy: 0.9710 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.