epoch 0: {'accuracy': 0.9139908256880734} , current_best_acc: 0.9139908256880734 train_loss: 0.3050026297569275
epoch 1: {'accuracy': 0.9162844036697247} , current_best_acc: 0.9162844036697247 train_loss: 0.20701877772808075
epoch 2: {'accuracy': 0.9288990825688074} , current_best_acc: 0.9288990825688074 train_loss: 0.31250137090682983
epoch 3: {'accuracy': 0.9357798165137615} , current_best_acc: 0.9357798165137615 train_loss: 0.34654584527015686
epoch 4: {'accuracy': 0.9254587155963303} , current_best_acc: 0.9357798165137615 train_loss: 0.12339626997709274
epoch 5: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9357798165137615 train_loss: 0.12454303354024887
epoch 6: {'accuracy': 0.9334862385321101} , current_best_acc: 0.9357798165137615 train_loss: 0.17709949612617493
epoch 7: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9415137614678899 train_loss: 0.3211173415184021
epoch 8: {'accuracy': 0.9334862385321101} , current_best_acc: 0.9415137614678899 train_loss: 0.19316166639328003
epoch 9: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9438073394495413 train_loss: 0.16597463190555573
epoch 10: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9438073394495413 train_loss: 0.3079064190387726
epoch 11: {'accuracy': 0.9311926605504587} , current_best_acc: 0.9438073394495413 train_loss: 0.4297654628753662
epoch 12: {'accuracy': 0.926605504587156} , current_best_acc: 0.9438073394495413 train_loss: 0.15127111971378326
epoch 13: {'accuracy': 0.9346330275229358} , current_best_acc: 0.9438073394495413 train_loss: 0.12583458423614502
epoch 14: {'accuracy': 0.9392201834862385} , current_best_acc: 0.9438073394495413 train_loss: 0.13442957401275635
epoch 15: {'accuracy': 0.9380733944954128} , current_best_acc: 0.9438073394495413 train_loss: 0.07043241709470749
epoch 16: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.2702758312225342
epoch 17: {'accuracy': 0.9311926605504587} , current_best_acc: 0.9438073394495413 train_loss: 0.16064560413360596
epoch 18: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.3561432957649231
epoch 19: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.1033109575510025
epoch 20: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.09439343959093094
epoch 21: {'accuracy': 0.9323394495412844} , current_best_acc: 0.9438073394495413 train_loss: 0.2438959777355194
epoch 22: {'accuracy': 0.9369266055045872} , current_best_acc: 0.9438073394495413 train_loss: 0.1301822066307068
epoch 23: {'accuracy': 0.9403669724770642} , current_best_acc: 0.9438073394495413 train_loss: 0.40439456701278687
epoch 24: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.11036781221628189
epoch 25: {'accuracy': 0.9426605504587156} , current_best_acc: 0.9438073394495413 train_loss: 0.03878374397754669
epoch 26: {'accuracy': 0.9380733944954128} , current_best_acc: 0.9438073394495413 train_loss: 0.07034633308649063
epoch 27: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9438073394495413 train_loss: 0.1454332172870636
epoch 28: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9438073394495413 train_loss: 0.03708478808403015
epoch 29: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9438073394495413 train_loss: 0.378989040851593
