epoch 0: {'accuracy': 0.86571574121243} , current_best_acc: 0.86571574121243 train_loss: 0.7105047106742859
epoch 0: {'accuracy': 0.8692026037428804} , current_best_acc: 0.8692026037428804 train_loss: 0.7105047106742859
epoch 1: {'accuracy': 0.8778400407539481} , current_best_acc: 0.8778400407539481 train_loss: 0.3496400713920593
epoch 1: {'accuracy': 0.8770341741253052} , current_best_acc: 0.8778400407539481 train_loss: 0.3496400713920593
epoch 2: {'accuracy': 0.8850738665308202} , current_best_acc: 0.8850738665308202 train_loss: 0.44079911708831787
epoch 2: {'accuracy': 0.8827298616761595} , current_best_acc: 0.8850738665308202 train_loss: 0.44079911708831787
epoch 3: {'accuracy': 0.8869077941925624} , current_best_acc: 0.8869077941925624 train_loss: 0.25980788469314575
epoch 3: {'accuracy': 0.8845606183889341} , current_best_acc: 0.8869077941925624 train_loss: 0.25980788469314575
epoch 4: {'accuracy': 0.8893530310748854} , current_best_acc: 0.8893530310748854 train_loss: 0.4764036238193512
epoch 4: {'accuracy': 0.883746948738812} , current_best_acc: 0.8893530310748854 train_loss: 0.4764036238193512
epoch 5: {'accuracy': 0.8892511462047886} , current_best_acc: 0.8893530310748854 train_loss: 0.23822538554668427
epoch 5: {'accuracy': 0.8825264442636289} , current_best_acc: 0.8893530310748854 train_loss: 0.23822538554668427
epoch 6: {'accuracy': 0.8862964849719817} , current_best_acc: 0.8893530310748854 train_loss: 0.23819945752620697
epoch 6: {'accuracy': 0.8882221318144833} , current_best_acc: 0.8893530310748854 train_loss: 0.23819945752620697
epoch 7: {'accuracy': 0.891492613346918} , current_best_acc: 0.891492613346918 train_loss: 0.48220738768577576
epoch 7: {'accuracy': 0.8898494711147275} , current_best_acc: 0.891492613346918 train_loss: 0.48220738768577576
epoch 8: {'accuracy': 0.8910850738665308} , current_best_acc: 0.891492613346918 train_loss: 0.3054836392402649
epoch 8: {'accuracy': 0.8930024410089503} , current_best_acc: 0.8930024410089503 train_loss: 0.3054836392402649
epoch 9: {'accuracy': 0.893937850229241} , current_best_acc: 0.893937850229241 train_loss: 0.2788700759410858
epoch 9: {'accuracy': 0.8918836452400325} , current_best_acc: 0.893937850229241 train_loss: 0.2788700759410858
epoch 10: {'accuracy': 0.893937850229241} , current_best_acc: 0.893937850229241 train_loss: 0.32959264516830444
epoch 10: {'accuracy': 0.8911716842961758} , current_best_acc: 0.893937850229241 train_loss: 0.32959264516830444
epoch 11: {'accuracy': 0.8937340804890473} , current_best_acc: 0.893937850229241 train_loss: 0.32775869965553284
epoch 11: {'accuracy': 0.8922904800650936} , current_best_acc: 0.893937850229241 train_loss: 0.32775869965553284
epoch 12: {'accuracy': 0.8957717778909832} , current_best_acc: 0.8957717778909832 train_loss: 0.4213961362838745
epoch 12: {'accuracy': 0.8909682668836453} , current_best_acc: 0.8957717778909832 train_loss: 0.4213961362838745
epoch 13: {'accuracy': 0.8950585838003057} , current_best_acc: 0.8957717778909832 train_loss: 0.1838388293981552
epoch 13: {'accuracy': 0.8920870626525631} , current_best_acc: 0.8957717778909832 train_loss: 0.1838388293981552
epoch 14: {'accuracy': 0.8942435048395313} , current_best_acc: 0.8957717778909832 train_loss: 0.39627477526664734
epoch 14: {'accuracy': 0.8926973148901546} , current_best_acc: 0.8957717778909832 train_loss: 0.39627477526664734
