# | epoch | accuracy | loss | lr | val_accuracy | val_loss |
---|---|---|---|---|---|---|
1 | 0 | 0.6590909361839294 | 0.8787937164306641 | 0.001 | 0.7056737542152405 | 0.5855434536933899 |
2 | 1 | 0.7227272987365723 | 0.5731178522109985 | 0.001 | 0.7765957713127136 | 0.4835635721683502 |
3 | 2 | 0.760606050491333 | 0.4887743890285492 | 0.001 | 0.7890070676803589 | 0.42182937264442444 |
4 | 3 | 0.7651515007019043 | 0.480286568403244 | 0.001 | 0.7819148898124695 | 0.4457966685295105 |
5 | 4 | 0.7439393997192383 | 0.5260146260261536 | 0.001 | 0.8244680762290955 | 0.3898647725582123 |
6 | 5 | 0.739393949508667 | 0.5200845003128052 | 0.001 | 0.8085106611251831 | 0.4118908643722534 |
7 | 6 | 0.7636363506317139 | 0.4835457503795624 | 0.001 | 0.6241135001182556 | 0.6655364632606506 |
8 | 7 | 0.7545454502105713 | 0.5255358815193176 | 0.001 | 0.8067376017570496 | 0.44102418422698975 |
9 | 8 | 0.7651515007019043 | 0.4751514792442322 | 0.000100000005 | 0.7695035338401794 | 0.4615773558616638 |
10 | 9 | 0.8151515126228333 | 0.4214959740638733 | 0.000100000005 | 0.7996453642845154 | 0.4332799017429352 |