epoch 0: {'accuracy': 0.9506880733944955} , current_best_acc: 0.9506880733944955 train_loss: 0.362438440322876
epoch 1: {'accuracy': 0.944954128440367} , current_best_acc: 0.9506880733944955 train_loss: 0.23376604914665222
epoch 2: {'accuracy': 0.9598623853211009} , current_best_acc: 0.9598623853211009 train_loss: 0.2561626136302948
epoch 3: {'accuracy': 0.9506880733944955} , current_best_acc: 0.9598623853211009 train_loss: 0.158428356051445
epoch 4: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9598623853211009 train_loss: 0.016449108719825745
epoch 5: {'accuracy': 0.968743119266055} , current_best_acc: 0.968743119266055 train_loss: 0.08787187933921814
epoch 6: {'accuracy': 0.963302752293578} , current_best_acc: 0.968743119266055 train_loss: 0.016286268830299377
epoch 7: {'accuracy': 0.9610091743119266} , current_best_acc: 0.968743119266055 train_loss: 0.14158591628074646
epoch 8: {'accuracy': 0.9564220183486238} , current_best_acc: 0.968743119266055 train_loss: 0.08476351946592331
epoch 9: {'accuracy': 0.9598623853211009} , current_best_acc: 0.968743119266055 train_loss: 0.05574851483106613
