epoch 0: {'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079} , current_best_acc: 0.6838235294117647 train_loss: 62.46394348144531
epoch 1: {'accuracy': 0.8357843137254902, 'f1': 0.8866328257191202} , current_best_acc: 0.8357843137254902 train_loss: 61.8907470703125
epoch 2: {'accuracy': 0.8799019607843137, 'f1': 0.911070780399274} , current_best_acc: 0.8799019607843137 train_loss: 61.57448196411133
epoch 3: {'accuracy': 0.8872549019607843, 'f1': 0.9198606271777003} , current_best_acc: 0.8872549019607843 train_loss: 61.114356994628906
epoch 4: {'accuracy': 0.8872549019607843, 'f1': 0.9195804195804196} , current_best_acc: 0.8872549019607843 train_loss: 60.91087341308594
epoch 5: {'accuracy': 0.9068627450980392, 'f1': 0.9316546762589928} , current_best_acc: 0.9068627450980392 train_loss: 60.5590934753418
epoch 6: {'accuracy': 0.9019607843137255, 'f1': 0.9303135888501742} , current_best_acc: 0.9068627450980392 train_loss: 60.46276092529297
epoch 7: {'accuracy': 0.9093137254901961, 'f1': 0.9349736379613357} , current_best_acc: 0.9093137254901961 train_loss: 60.41379165649414
epoch 8: {'accuracy': 0.9142156862745098, 'f1': 0.9380530973451328} , current_best_acc: 0.9142156862745098 train_loss: 60.16395950317383
epoch 9: {'accuracy': 0.9093137254901961, 'f1': 0.9345132743362832} , current_best_acc: 0.9142156862745098 train_loss: 60.3114013671875
