epoch 0: {'accuracy': 0.911697247706422} , current_best_acc: 0.911697247706422 train_loss: 0.36160188913345337
epoch 1: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9323394495412844 train_loss: 0.22364355623722076
epoch 2: {'accuracy': 0.9220183486238532} , current_best_acc: 0.9323394495412844 train_loss: 0.45498204231262207
epoch 3: {'accuracy': 0.9277522935779816} , current_best_acc: 0.9323394495412844 train_loss: 0.33356618881225586
epoch 4: {'accuracy': 0.9231651376146789} , current_best_acc: 0.9323394495412844 train_loss: 0.0500347800552845
epoch 5: {'accuracy': 0.9311926605504587} , current_best_acc: 0.9323394495412844 train_loss: 0.27458101511001587
epoch 6: {'accuracy': 0.930045871559633} , current_best_acc: 0.9323394495412844 train_loss: 0.1750943958759308
epoch 7: {'accuracy': 0.9277522935779816} , current_best_acc: 0.9323394495412844 train_loss: 0.21422088146209717
epoch 8: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9323394495412844 train_loss: 0.48605287075042725
epoch 9: {'accuracy': 0.9254587155963303} , current_best_acc: 0.9323394495412844 train_loss: 0.19255581498146057
epoch 10: {'accuracy': 0.9288990825688074} , current_best_acc: 0.9323394495412844 train_loss: 0.2845177948474884
epoch 11: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9357798165137615 train_loss: 0.2360282689332962
epoch 12: {'accuracy': 0.9254587155963303} , current_best_acc: 0.9357798165137615 train_loss: 0.18787895143032074
epoch 13: {'accuracy': 0.9288990825688074} , current_best_acc: 0.9357798165137615 train_loss: 0.21876196563243866
epoch 14: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9357798165137615 train_loss: 0.19832046329975128
epoch 15: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9438073394495413 train_loss: 0.33383631706237793
epoch 16: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.08904389292001724
epoch 17: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.10447634011507034
epoch 18: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.19252339005470276
epoch 19: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.02301112189888954
epoch 20: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.03596688434481621
epoch 21: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9438073394495413 train_loss: 0.05305136367678642
epoch 22: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9438073394495413 train_loss: 0.2673236131668091
epoch 23: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.03257233649492264
epoch 24: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9438073394495413 train_loss: 0.18779326975345612
epoch 25: {'accuracy': 0.9380733944954128} , current_best_acc: 0.9438073394495413 train_loss: 0.29250985383987427
epoch 26: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.07951827347278595
epoch 27: {'accuracy': 0.9334862385321101} , current_best_acc: 0.9438073394495413 train_loss: 0.1013779267668724
epoch 28: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9438073394495413 train_loss: 0.19219234585762024
epoch 29: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9438073394495413 train_loss: 0.24527952075004578
