epoch 0: {'accuracy': 0.9017023613399231} , current_best_acc: 0.9017023613399231 train_loss: 0.30111128091812134
epoch 1: {'accuracy': 0.9159802306425041} , current_best_acc: 0.9159802306425041 train_loss: 0.3795987665653229
epoch 2: {'accuracy': 0.9189090243455976} , current_best_acc: 0.9189090243455976 train_loss: 0.0775642991065979
epoch 3: {'accuracy': 0.9220208676551346} , current_best_acc: 0.9220208676551346 train_loss: 0.25533396005630493
epoch 4: {'accuracy': 0.9181768259198243} , current_best_acc: 0.9220208676551346 train_loss: 0.0548461377620697
epoch 5: {'accuracy': 0.9256818597840014} , current_best_acc: 0.9256818597840014 train_loss: 0.06331846117973328
epoch 6: {'accuracy': 0.923851363719568} , current_best_acc: 0.9256818597840014 train_loss: 0.5239804983139038
epoch 7: {'accuracy': 0.9278784550613216} , current_best_acc: 0.9278784550613216 train_loss: 0.10112585127353668
epoch 8: {'accuracy': 0.9280615046677649} , current_best_acc: 0.9280615046677649 train_loss: 0.26214438676834106
epoch 9: {'accuracy': 0.9330750503386418} , current_best_acc: 0.9330750503386418 train_loss: 0.13199584186077118
