epoch 0: {'accuracy': 0.8885227896760022} , current_best_acc: 0.8885227896760022 train_loss: 0.17927220463752747
epoch 1: {'accuracy': 0.9298920007321985} , current_best_acc: 0.9298920007321985 train_loss: 0.1758248656988144
epoch 2: {'accuracy': 0.9289767526999817} , current_best_acc: 0.9298920007321985 train_loss: 0.46542906761169434
epoch 3: {'accuracy': 0.9015193117334798} , current_best_acc: 0.9298920007321985 train_loss: 0.21676866710186005
epoch 4: {'accuracy': 0.9287937030935384} , current_best_acc: 0.9298920007321985 train_loss: 0.047625936567783356
epoch 5: {'accuracy': 0.9212886692293611} , current_best_acc: 0.9298920007321985 train_loss: 0.2998465895652771
epoch 6: {'accuracy': 0.9366648361706023} , current_best_acc: 0.9366648361706023 train_loss: 0.7922062277793884
epoch 7: {'accuracy': 0.938678381841479} , current_best_acc: 0.938678381841479 train_loss: 0.26358720660209656
epoch 8: {'accuracy': 0.9397766794801391} , current_best_acc: 0.9397766794801391 train_loss: 0.04772760346531868
epoch 9: {'accuracy': 0.9357495881383855} , current_best_acc: 0.9397766794801391 train_loss: 0.3817811608314514
epoch 10: {'accuracy': 0.9346512904997254} , current_best_acc: 0.9397766794801391 train_loss: 0.31686854362487793
epoch 11: {'accuracy': 0.9397766794801391} , current_best_acc: 0.9397766794801391 train_loss: 0.03262632340192795
epoch 12: {'accuracy': 0.9397766794801391} , current_best_acc: 0.9397766794801391 train_loss: 0.029643232002854347
epoch 13: {'accuracy': 0.9379461834157057} , current_best_acc: 0.9397766794801391 train_loss: 0.17554381489753723
epoch 14: {'accuracy': 0.9377631338092624} , current_best_acc: 0.9397766794801391 train_loss: 0.033414166420698166
epoch 15: {'accuracy': 0.941790225151016} , current_best_acc: 0.941790225151016 train_loss: 0.048023056238889694
epoch 16: {'accuracy': 0.9399597290865824} , current_best_acc: 0.941790225151016 train_loss: 0.12042754143476486
epoch 17: {'accuracy': 0.9383122826285923} , current_best_acc: 0.941790225151016 train_loss: 0.046549465507268906
epoch 18: {'accuracy': 0.9399597290865824} , current_best_acc: 0.941790225151016 train_loss: 0.035511866211891174
epoch 19: {'accuracy': 0.9405088779059125} , current_best_acc: 0.941790225151016 train_loss: 0.035511866211891174
epoch 20: {'accuracy': 0.941790225151016} , current_best_acc: 0.941790225151016 train_loss: 0.035511866211891174
epoch 21: {'accuracy': 0.943437671609006} , current_best_acc: 0.943437671609006 train_loss: 0.035511866211891174
epoch 22: {'accuracy': 0.9443970345963756} , current_best_acc: 0.9443970345963756 train_loss: 0.035511866211891174
epoch 23: {'accuracy': 0.9373970345963756} , current_best_acc: 0.9443970345963756 train_loss: 0.035511866211891174
epoch 24: {'accuracy': 0.9401427786930258} , current_best_acc: 0.9443970345963756 train_loss: 0.035511866211891174
