- loss: 1.4748 - accuracy: 0.5244 - val_loss: 1.3262 - val_accuracy: 0.5857
- loss: 1.0657 - accuracy: 0.6809 - val_loss: 1.1155 - val_accuracy: 0.6647
- loss: 0.9032 - accuracy: 0.7402 - val_loss: 0.9268 - val_accuracy: 0.7410
- loss: 0.8086 - accuracy: 0.7787 - val_loss: 1.2882 - val_accuracy: 0.6425
- loss: 0.7383 - accuracy: 0.8055 - val_loss: 1.3015 - val_accuracy: 0.6679
- loss: 0.6860 - accuracy: 0.8241 - val_loss: 0.9720 - val_accuracy: 0.7356
- loss: 0.6457 - accuracy: 0.8407 - val_loss: 0.9473 - val_accuracy: 0.7483
- loss: 0.6131 - accuracy: 0.8532 - val_loss: 0.9863 - val_accuracy: 0.7534
- loss: 0.5817 - accuracy: 0.8672 - val_loss: 1.0435 - val_accuracy: 0.7376
- loss: 0.5567 - accuracy: 0.8759 - val_loss: 1.2559 - val_accuracy: 0.7065
- loss: 0.5374 - accuracy: 0.8855 - val_loss: 0.9621 - val_accuracy: 0.7720
- loss: 0.5188 - accuracy: 0.8941 - val_loss: 0.8978 - val_accuracy: 0.7904
- loss: 0.5079 - accuracy: 0.8994 - val_loss: 0.8303 - val_accuracy: 0.8074
- loss: 0.4886 - accuracy: 0.9080 - val_loss: 0.8634 - val_accuracy: 0.7975
- loss: 0.4788 - accuracy: 0.9133 - val_loss: 0.9355 - val_accuracy: 0.7875
- loss: 0.4693 - accuracy: 0.9188 - val_loss: 0.9403 - val_accuracy: 0.7904
- loss: 0.4639 - accuracy: 0.9215 - val_loss: 1.0526 - val_accuracy: 0.7736
- loss: 0.4607 - accuracy: 0.9229 - val_loss: 1.0922 - val_accuracy: 0.7644
- loss: 0.4514 - accuracy: 0.9280 - val_loss: 1.0107 - val_accuracy: 0.7924
- loss: 0.4524 - accuracy: 0.9295 - val_loss: 0.9738 - val_accuracy: 0.7984
- loss: 0.4422 - accuracy: 0.9342 - val_loss: 1.2117 - val_accuracy: 0.7529
- loss: 0.4453 - accuracy: 0.9346 - val_loss: 1.1830 - val_accuracy: 0.7544
- loss: 0.4393 - accuracy: 0.9355 - val_loss: 1.0328 - val_accuracy: 0.7916
- loss: 0.4368 - accuracy: 0.9377 - val_loss: 1.1061 - val_accuracy: 0.7719
- loss: 0.4334 - accuracy: 0.9407 - val_loss: 1.0126 - val_accuracy: 0.8004
- loss: 0.4343 - accuracy: 0.9407 - val_loss: 1.2734 - val_accuracy: 0.7624
- loss: 0.4331 - accuracy: 0.9412 - val_loss: 1.0077 - val_accuracy: 0.8012
- loss: 0.4308 - accuracy: 0.9419 - val_loss: 1.0344 - val_accuracy: 0.7949
- loss: 0.4319 - accuracy: 0.9428 - val_loss: 1.1945 - val_accuracy: 0.7803
- loss: 0.4280 - accuracy: 0.9427 - val_loss: 1.1287 - val_accuracy: 0.7828
- loss: 0.4313 - accuracy: 0.9433 - val_loss: 1.1335 - val_accuracy: 0.7861
- loss: 0.4285 - accuracy: 0.9437 - val_loss: 1.1847 - val_accuracy: 0.7682
- loss: 0.4226 - accuracy: 0.9460 - val_loss: 1.2253 - val_accuracy: 0.7678
- loss: 0.4240 - accuracy: 0.9462 - val_loss: 0.9923 - val_accuracy: 0.8037
- loss: 0.4268 - accuracy: 0.9443 - val_loss: 1.2084 - val_accuracy: 0.7731
- loss: 0.4220 - accuracy: 0.9475 - val_loss: 1.2669 - val_accuracy: 0.7693
- loss: 0.4188 - accuracy: 0.9491 - val_loss: 1.2547 - val_accuracy: 0.7718
- loss: 0.4230 - accuracy: 0.9474 - val_loss: 1.0875 - val_accuracy: 0.7849
- loss: 0.4181 - accuracy: 0.9489 - val_loss: 1.0812 - val_accuracy: 0.8007
- loss: 0.4181 - accuracy: 0.9485 - val_loss: 1.0732 - val_accuracy: 0.8001
- loss: 0.4157 - accuracy: 0.9508 - val_loss: 1.3723 - val_accuracy: 0.7537
- loss: 0.4168 - accuracy: 0.9496 - val_loss: 1.1755 - val_accuracy: 0.7882
- loss: 0.4158 - accuracy: 0.9495 - val_loss: 1.1454 - val_accuracy: 0.7939
- loss: 0.4160 - accuracy: 0.9503 - val_loss: 1.3052 - val_accuracy: 0.7531
- loss: 0.4139 - accuracy: 0.9508 - val_loss: 1.2832 - val_accuracy: 0.7645
- loss: 0.4050 - accuracy: 0.9536 - val_loss: 1.1951 - val_accuracy: 0.7761
- loss: 0.4142 - accuracy: 0.9497 - val_loss: 1.1064 - val_accuracy: 0.7945
- loss: 0.4078 - accuracy: 0.9533 - val_loss: 1.0763 - val_accuracy: 0.8030
- loss: 0.4135 - accuracy: 0.9518 - val_loss: 1.0857 - val_accuracy: 0.7938
- loss: 0.4156 - accuracy: 0.9511 - val_loss: 1.1076 - val_accuracy: 0.7945
Test loss: 1.107574435901642
Test accuracy: 0.7944999933242798