epoch 0: {'accuracy': 0.9495412844036697} , current_best_acc: 0.9495412844036697 train_loss: 0.1531616449356079
epoch 1: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9495412844036697 train_loss: 0.26807159185409546
epoch 2: {'accuracy': 0.9564220183486238} , current_best_acc: 0.9564220183486238 train_loss: 0.07857508957386017
epoch 3: {'accuracy': 0.9552752293577982} , current_best_acc: 0.9564220183486238 train_loss: 0.2052842378616333
epoch 4: {'accuracy': 0.9621559633027523} , current_best_acc: 0.9621559633027523 train_loss: 0.2580315172672272
epoch 5: {'accuracy': 0.9621559633027523} , current_best_acc: 0.9621559633027523 train_loss: 0.1676602065563202
epoch 6: {'accuracy': 0.9598623853211009} , current_best_acc: 0.9621559633027523 train_loss: 0.15413498878479004
epoch 7: {'accuracy': 0.9621559633027523} , current_best_acc: 0.9621559633027523 train_loss: 0.40663808584213257
epoch 8: {'accuracy': 0.9575688073394495} , current_best_acc: 0.9621559633027523 train_loss: 0.47437360882759094
epoch 9: {'accuracy': 0.9598623853211009} , current_best_acc: 0.9621559633027523 train_loss: 0.10903678834438324
