epoch 0: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9357798165137615 train_loss: 0.44377464056015015
epoch 1: {'accuracy': 0.948394495412844} , current_best_acc: 0.948394495412844 train_loss: 0.20053577423095703
epoch 2: {'accuracy': 0.9506880733944955} , current_best_acc: 0.9506880733944955 train_loss: 0.2848464548587799
epoch 3: {'accuracy': 0.9598623853211009} , current_best_acc: 0.9598623853211009 train_loss: 0.23750373721122742
epoch 4: {'accuracy': 0.9495412844036697} , current_best_acc: 0.9598623853211009 train_loss: 0.011372233740985394
epoch 5: {'accuracy': 0.9529816513761468} , current_best_acc: 0.9598623853211009 train_loss: 0.15385301411151886
epoch 6: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9598623853211009 train_loss: 0.3128981292247772
epoch 7: {'accuracy': 0.9529816513761468} , current_best_acc: 0.9598623853211009 train_loss: 0.16779232025146484
epoch 8: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9598623853211009 train_loss: 0.21121232211589813
epoch 9: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9598623853211009 train_loss: 0.1756153404712677
epoch 10: {'accuracy': 0.9564220183486238} , current_best_acc: 0.9598623853211009 train_loss: 0.03126630559563637
epoch 11: {'accuracy': 0.9610091743119266} , current_best_acc: 0.9610091743119266 train_loss: 0.18264885246753693
epoch 12: {'accuracy': 0.9518348623853211} , current_best_acc: 0.9610091743119266 train_loss: 0.04307529330253601
epoch 13: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9610091743119266 train_loss: 0.0832781121134758
epoch 14: {'accuracy': 0.9587155963302753} , current_best_acc: 0.9610091743119266 train_loss: 0.08050648123025894
epoch 15: {'accuracy': 0.9587155963302753} , current_best_acc: 0.9610091743119266 train_loss: 0.014605517499148846
epoch 16: {'accuracy': 0.9655963302752294} , current_best_acc: 0.9655963302752294 train_loss: 0.029800519347190857
epoch 17: {'accuracy': 0.9644495412844036} , current_best_acc: 0.9655963302752294 train_loss: 0.04493594914674759
epoch 18: {'accuracy': 0.9655963302752294} , current_best_acc: 0.9655963302752294 train_loss: 0.04926667362451553
epoch 19: {'accuracy': 0.9655963302752294} , current_best_acc: 0.9655963302752294 train_loss: 0.029205994680523872
