epoch 0: {'accuracy': 0.9247666117517848} , current_best_acc: 0.9247666117517848 train_loss: 0.4511522054672241
epoch 1: {'accuracy': 0.9372139849899322} , current_best_acc: 0.9372139849899322 train_loss: 0.39134594798088074
epoch 2: {'accuracy': 0.938129233022149} , current_best_acc: 0.938129233022149 train_loss: 0.2995140254497528
epoch 3: {'accuracy': 0.5053999633900788} , current_best_acc: 0.938129233022149 train_loss: 0.7726403474807739
epoch 4: {'accuracy': 0.5053999633900788} , current_best_acc: 0.938129233022149 train_loss: 0.7582026124000549
epoch 5: {'accuracy': 0.4946000366099213} , current_best_acc: 0.938129233022149 train_loss: 0.7539173364639282
epoch 6: {'accuracy': 0.4946000366099213} , current_best_acc: 0.938129233022149 train_loss: 0.7622773051261902
epoch 7: {'accuracy': 0.4946000366099213} , current_best_acc: 0.938129233022149 train_loss: 0.7459478378295898
epoch 8: {'accuracy': 0.4946000366099213} , current_best_acc: 0.938129233022149 train_loss: 0.7255092859268188
epoch 9: {'accuracy': 0.9240344133260113} , current_best_acc: 0.938129233022149 train_loss: 0.9900411367416382
epoch 10: {'accuracy': 0.928610653487095} , current_best_acc: 0.938129233022149 train_loss: 0.17815926671028137
epoch 11: {'accuracy': 0.9408749771187992} , current_best_acc: 0.9408749771187992 train_loss: 0.5514099597930908
epoch 12: {'accuracy': 0.9487461101958631} , current_best_acc: 0.9487461101958631 train_loss: 0.3022628426551819
epoch 13: {'accuracy': 0.9450851180669961} , current_best_acc: 0.9487461101958631 train_loss: 0.14241090416908264
epoch 14: {'accuracy': 0.9421563243639026} , current_best_acc: 0.9487461101958631 train_loss: 0.3460811674594879
epoch 15: {'accuracy': 0.9478308621636463} , current_best_acc: 0.9487461101958631 train_loss: 0.07402729988098145
epoch 16: {'accuracy': 0.9456342668863262} , current_best_acc: 0.9487461101958631 train_loss: 0.1303349882364273
epoch 17: {'accuracy': 0.947098663737873} , current_best_acc: 0.9487461101958631 train_loss: 0.20032291114330292
epoch 18: {'accuracy': 0.9467325645249862} , current_best_acc: 0.9487461101958631 train_loss: 0.08469322323799133
epoch 19: {'accuracy': 0.9467325645249862} , current_best_acc: 0.9487461101958631 train_loss: 0.09487947821617126
