epoch 0: {'accuracy': 0.8570555272542028} , current_best_acc: 0.8570555272542028 train_loss: 0.20984292030334473
epoch 0: {'accuracy': 0.8600488201790073} , current_best_acc: 0.8600488201790073 train_loss: 0.20984292030334473
epoch 1: {'accuracy': 0.8831380539989812} , current_best_acc: 0.8831380539989812 train_loss: 0.24967841804027557
epoch 1: {'accuracy': 0.8825264442636289} , current_best_acc: 0.8831380539989812 train_loss: 0.24967841804027557
epoch 2: {'accuracy': 0.8899643402954661} , current_best_acc: 0.8899643402954661 train_loss: 0.17845863103866577
epoch 2: {'accuracy': 0.8861879576891782} , current_best_acc: 0.8899643402954661 train_loss: 0.17845863103866577
epoch 3: {'accuracy': 0.884666327050433} , current_best_acc: 0.8899643402954661 train_loss: 0.43864771723747253
epoch 3: {'accuracy': 0.8853742880390562} , current_best_acc: 0.8899643402954661 train_loss: 0.43864771723747253
epoch 4: {'accuracy': 0.8923076923076924} , current_best_acc: 0.8923076923076924 train_loss: 0.41515448689460754
epoch 4: {'accuracy': 0.8888323840520749} , current_best_acc: 0.8923076923076924 train_loss: 0.41515448689460754
epoch 5: {'accuracy': 0.8893530310748854} , current_best_acc: 0.8923076923076924 train_loss: 0.29401105642318726
epoch 5: {'accuracy': 0.8859845402766476} , current_best_acc: 0.8923076923076924 train_loss: 0.29401105642318726
epoch 6: {'accuracy': 0.8935303107488538} , current_best_acc: 0.8935303107488538 train_loss: 0.2625633478164673
epoch 6: {'accuracy': 0.8904597233523189} , current_best_acc: 0.8935303107488538 train_loss: 0.2625633478164673
epoch 7: {'accuracy': 0.8963830871115639} , current_best_acc: 0.8963830871115639 train_loss: 0.5455248951911926
epoch 7: {'accuracy': 0.8895443449959316} , current_best_acc: 0.8963830871115639 train_loss: 0.5455248951911926
epoch 8: {'accuracy': 0.8916963830871115} , current_best_acc: 0.8963830871115639 train_loss: 0.08012041449546814
epoch 8: {'accuracy': 0.8913751017087063} , current_best_acc: 0.8963830871115639 train_loss: 0.08012041449546814
epoch 9: {'accuracy': 0.8935303107488538} , current_best_acc: 0.8963830871115639 train_loss: 0.35867828130722046
epoch 9: {'accuracy': 0.8925956061838893} , current_best_acc: 0.8963830871115639 train_loss: 0.35867828130722046
epoch 10: {'accuracy': 0.8897605705552726} , current_best_acc: 0.8963830871115639 train_loss: 0.21044127643108368
epoch 10: {'accuracy': 0.8865947925142392} , current_best_acc: 0.8963830871115639 train_loss: 0.21044127643108368
epoch 11: {'accuracy': 0.8938359653591441} , current_best_acc: 0.8963830871115639 train_loss: 0.13670817017555237
epoch 11: {'accuracy': 0.8898494711147275} , current_best_acc: 0.8963830871115639 train_loss: 0.13670817017555237
epoch 12: {'accuracy': 0.8938359653591441} , current_best_acc: 0.8963830871115639 train_loss: 0.11973115056753159
epoch 12: {'accuracy': 0.89086655817738} , current_best_acc: 0.8963830871115639 train_loss: 0.11973115056753159
epoch 13: {'accuracy': 0.8941416199694345} , current_best_acc: 0.8963830871115639 train_loss: 0.36620229482650757
epoch 13: {'accuracy': 0.8920870626525631} , current_best_acc: 0.8963830871115639 train_loss: 0.36620229482650757
epoch 14: {'accuracy': 0.8945491594498217} , current_best_acc: 0.8963830871115639 train_loss: 0.17361284792423248
epoch 14: {'accuracy': 0.8920870626525631} , current_best_acc: 0.8963830871115639 train_loss: 0.17361284792423248
