epoch 0: {'accuracy': 0.7083333333333334, 'f1': 0.8221225710014948} , current_best_acc: 0.7083333333333334 train_loss: 0.5498499274253845
epoch 1: {'accuracy': 0.7107843137254902, 'f1': 0.8238805970149253} , current_best_acc: 0.7107843137254902 train_loss: 0.442575603723526
epoch 2: {'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079} , current_best_acc: 0.7107843137254902 train_loss: 0.8010461926460266
epoch 3: {'accuracy': 0.7622549019607843, 'f1': 0.8509984639016898} , current_best_acc: 0.7622549019607843 train_loss: 0.3750549256801605
epoch 4: {'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079} , current_best_acc: 0.7622549019607843 train_loss: 0.5261021256446838
epoch 5: {'accuracy': 0.8235294117647058, 'f1': 0.8807947019867549} , current_best_acc: 0.8235294117647058 train_loss: 0.7999594807624817
epoch 6: {'accuracy': 0.8578431372549019, 'f1': 0.8982456140350877} , current_best_acc: 0.8578431372549019 train_loss: 0.3855226933956146
epoch 7: {'accuracy': 0.8799019607843137, 'f1': 0.9087523277467412} , current_best_acc: 0.8799019607843137 train_loss: 0.47686904668807983
epoch 8: {'accuracy': 0.8946078431372549, 'f1': 0.9241622574955908} , current_best_acc: 0.8946078431372549 train_loss: 0.22877630591392517
epoch 9: {'accuracy': 0.8897058823529411, 'f1': 0.9183303085299456} , current_best_acc: 0.8946078431372549 train_loss: 0.48343929648399353
epoch 10: {'accuracy': 0.875, 'f1': 0.9106830122591943} , current_best_acc: 0.8946078431372549 train_loss: 0.5026183724403381
epoch 11: {'accuracy': 0.8921568627450981, 'f1': 0.9185185185185185} , current_best_acc: 0.8946078431372549 train_loss: 0.4198494851589203
epoch 12: {'accuracy': 0.8848039215686274, 'f1': 0.9162210338680927} , current_best_acc: 0.8946078431372549 train_loss: 0.06850879639387131
epoch 13: {'accuracy': 0.8627450980392157, 'f1': 0.9050847457627119} , current_best_acc: 0.8946078431372549 train_loss: 0.35483071208000183
epoch 14: {'accuracy': 0.8848039215686274, 'f1': 0.9176882661996497} , current_best_acc: 0.8946078431372549 train_loss: 0.18619531393051147
epoch 15: {'accuracy': 0.8872549019607843, 'f1': 0.9163636363636364} , current_best_acc: 0.8946078431372549 train_loss: 0.13747189939022064
epoch 16: {'accuracy': 0.8799019607843137, 'f1': 0.9107468123861566} , current_best_acc: 0.8946078431372549 train_loss: 0.28493207693099976
epoch 17: {'accuracy': 0.8897058823529411, 'f1': 0.9194991055456172} , current_best_acc: 0.8946078431372549 train_loss: 0.0032123203855007887
epoch 18: {'accuracy': 0.8627450980392157, 'f1': 0.903114186851211} , current_best_acc: 0.8946078431372549 train_loss: 0.1397963911294937
epoch 19: {'accuracy': 0.8799019607843137, 'f1': 0.9141856392294221} , current_best_acc: 0.8946078431372549 train_loss: 0.0587705597281456
epoch 20: {'accuracy': 0.9019607843137255, 'f1': 0.9283154121863799} , current_best_acc: 0.9019607843137255 train_loss: 0.015668874606490135
epoch 21: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.9019607843137255 train_loss: 0.013669289648532867
epoch 22: {'accuracy': 0.8946078431372549, 'f1': 0.92573402417962} , current_best_acc: 0.9019607843137255 train_loss: 0.0474105179309845
epoch 23: {'accuracy': 0.8651960784313726, 'f1': 0.905982905982906} , current_best_acc: 0.9019607843137255 train_loss: 0.028223734349012375
epoch 24: {'accuracy': 0.8946078431372549, 'f1': 0.9233511586452763} , current_best_acc: 0.9019607843137255 train_loss: 0.0022780222352594137
epoch 25: {'accuracy': 0.8848039215686274, 'f1': 0.9179755671902269} , current_best_acc: 0.9019607843137255 train_loss: 0.18360087275505066
epoch 26: {'accuracy': 0.9117647058823529, 'f1': 0.9347826086956522} , current_best_acc: 0.9117647058823529 train_loss: 0.0031642119865864515
epoch 27: {'accuracy': 0.8970588235294118, 'f1': 0.925} , current_best_acc: 0.9117647058823529 train_loss: 0.03428160399198532
epoch 28: {'accuracy': 0.8921568627450981, 'f1': 0.9217081850533808} , current_best_acc: 0.9117647058823529 train_loss: 0.00415792828425765
epoch 29: {'accuracy': 0.8872549019607843, 'f1': 0.9184397163120568} , current_best_acc: 0.9117647058823529 train_loss: 0.004254131577908993
