epoch 0: {'accuracy': 0.9288990825688074} , current_best_acc: 0.9288990825688074 train_loss: 0.40438538789749146
epoch 1: {'accuracy': 0.9587155963302753} , current_best_acc: 0.9587155963302753 train_loss: 0.3167227804660797
epoch 2: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9587155963302753 train_loss: 0.2585834562778473
epoch 3: {'accuracy': 0.9415137614678899} , current_best_acc: 0.9587155963302753 train_loss: 0.15650388598442078
epoch 4: {'accuracy': 0.9518348623853211} , current_best_acc: 0.9587155963302753 train_loss: 0.2519945502281189
epoch 5: {'accuracy': 0.9438073394495413} , current_best_acc: 0.9587155963302753 train_loss: 0.22686417400836945
epoch 6: {'accuracy': 0.9518348623853211} , current_best_acc: 0.9587155963302753 train_loss: 0.15087243914604187
epoch 7: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9587155963302753 train_loss: 0.2580823302268982
epoch 8: {'accuracy': 0.948394495412844} , current_best_acc: 0.9587155963302753 train_loss: 0.12112937867641449
epoch 9: {'accuracy': 0.9552752293577982} , current_best_acc: 0.9587155963302753 train_loss: 0.19929715991020203
epoch 10: {'accuracy': 0.9541284403669725} , current_best_acc: 0.9587155963302753 train_loss: 0.07260020822286606
epoch 11: {'accuracy': 0.9529816513761468} , current_best_acc: 0.9587155963302753 train_loss: 0.16099236905574799
epoch 12: {'accuracy': 0.9587155963302753} , current_best_acc: 0.9587155963302753 train_loss: 0.23514418303966522
epoch 13: {'accuracy': 0.9529816513761468} , current_best_acc: 0.9587155963302753 train_loss: 0.033607978373765945
epoch 14: {'accuracy': 0.9587155963302753} , current_best_acc: 0.9587155963302753 train_loss: 0.06364353746175766
epoch 15: {'accuracy': 0.9529816513761468} , current_best_acc: 0.9587155963302753 train_loss: 0.18817074596881866
epoch 16: {'accuracy': 0.9552752293577982} , current_best_acc: 0.9587155963302753 train_loss: 0.10959911346435547
epoch 17: {'accuracy': 0.9610091743119266} , current_best_acc: 0.9610091743119266 train_loss: 0.29796913266181946
epoch 18: {'accuracy': 0.9621559633027523} , current_best_acc: 0.9621559633027523 train_loss: 0.03425000235438347
epoch 19: {'accuracy': 0.966743119266055} , current_best_acc: 0.966743119266055 train_loss: 0.015120841562747955
