epoch 0: {'accuracy': 0.8634742740703005} , current_best_acc: 0.8634742740703005 train_loss: 0.24703089892864227
epoch 0: {'accuracy': 0.8681855166802278} , current_best_acc: 0.8681855166802278 train_loss: 0.24703089892864227
epoch 1: {'accuracy': 0.8840550178298523} , current_best_acc: 0.8840550178298523 train_loss: 0.49538320302963257
epoch 1: {'accuracy': 0.8807973962571196} , current_best_acc: 0.8840550178298523 train_loss: 0.49538320302963257
epoch 2: {'accuracy': 0.8881304126337239} , current_best_acc: 0.8881304126337239 train_loss: 0.5567302703857422
epoch 2: {'accuracy': 0.8818144833197722} , current_best_acc: 0.8881304126337239 train_loss: 0.5567302703857422
epoch 3: {'accuracy': 0.8898624554253693} , current_best_acc: 0.8898624554253693 train_loss: 0.18847566843032837
epoch 3: {'accuracy': 0.8862896663954435} , current_best_acc: 0.8898624554253693 train_loss: 0.18847566843032837
epoch 4: {'accuracy': 0.8869077941925624} , current_best_acc: 0.8898624554253693 train_loss: 0.23330995440483093
epoch 4: {'accuracy': 0.8850691619202604} , current_best_acc: 0.8898624554253693 train_loss: 0.23330995440483093
epoch 5: {'accuracy': 0.893428425878757} , current_best_acc: 0.893428425878757 train_loss: 0.44894731044769287
epoch 5: {'accuracy': 0.8886289666395444} , current_best_acc: 0.893428425878757 train_loss: 0.44894731044769287
epoch 6: {'accuracy': 0.8916963830871115} , current_best_acc: 0.893428425878757 train_loss: 0.3951430320739746
epoch 6: {'accuracy': 0.8920870626525631} , current_best_acc: 0.893428425878757 train_loss: 0.3951430320739746
epoch 7: {'accuracy': 0.8908813041263373} , current_best_acc: 0.893428425878757 train_loss: 0.4802650809288025
epoch 7: {'accuracy': 0.890052888527258} , current_best_acc: 0.893428425878757 train_loss: 0.4802650809288025
epoch 8: {'accuracy': 0.8930208863983699} , current_best_acc: 0.893428425878757 train_loss: 0.30205053091049194
epoch 8: {'accuracy': 0.8904597233523189} , current_best_acc: 0.893428425878757 train_loss: 0.30205053091049194
epoch 9: {'accuracy': 0.894447274579725} , current_best_acc: 0.894447274579725 train_loss: 0.09550675004720688
epoch 9: {'accuracy': 0.8929007323026851} , current_best_acc: 0.894447274579725 train_loss: 0.09550675004720688
epoch 10: {'accuracy': 0.8942435048395313} , current_best_acc: 0.894447274579725 train_loss: 0.3016854226589203
epoch 10: {'accuracy': 0.8920870626525631} , current_best_acc: 0.894447274579725 train_loss: 0.3016854226589203
epoch 11: {'accuracy': 0.8929190015282731} , current_best_acc: 0.894447274579725 train_loss: 0.5103835463523865
epoch 11: {'accuracy': 0.8927990235964198} , current_best_acc: 0.894447274579725 train_loss: 0.5103835463523865
epoch 12: {'accuracy': 0.894447274579725} , current_best_acc: 0.894447274579725 train_loss: 0.22596067190170288
epoch 12: {'accuracy': 0.8922904800650936} , current_best_acc: 0.894447274579725 train_loss: 0.22596067190170288
epoch 13: {'accuracy': 0.8928171166581763} , current_best_acc: 0.894447274579725 train_loss: 0.2066081464290619
epoch 13: {'accuracy': 0.8937144019528072} , current_best_acc: 0.894447274579725 train_loss: 0.2066081464290619
epoch 14: {'accuracy': 0.8945491594498217} , current_best_acc: 0.8945491594498217 train_loss: 0.10667050629854202
epoch 14: {'accuracy': 0.8946297803091945} , current_best_acc: 0.8946297803091945 train_loss: 0.10667050629854202
