epoch 0: {'accuracy': 0.9121361889071938} , current_best_acc: 0.9121361889071938 train_loss: 0.6054045557975769
epoch 1: {'accuracy': 0.8989566172432729} , current_best_acc: 0.9121361889071938 train_loss: 0.1308683156967163
epoch 2: {'accuracy': 0.9231191652937946} , current_best_acc: 0.9231191652937946 train_loss: 0.4629822075366974
epoch 3: {'accuracy': 0.9249496613582281} , current_best_acc: 0.9249496613582281 train_loss: 0.30303946137428284
epoch 4: {'accuracy': 0.9293428519128684} , current_best_acc: 0.9293428519128684 train_loss: 0.05331001430749893
epoch 5: {'accuracy': 0.9315394471901886} , current_best_acc: 0.9315394471901886 train_loss: 0.4218894839286804
epoch 6: {'accuracy': 0.9117700896943072} , current_best_acc: 0.9315394471901886 train_loss: 0.04798797890543938
epoch 7: {'accuracy': 0.9346512904997254} , current_best_acc: 0.9346512904997254 train_loss: 0.4579835832118988
epoch 8: {'accuracy': 0.9368478857770456} , current_best_acc: 0.9368478857770456 train_loss: 0.0631103366613388
epoch 9: {'accuracy': 0.9317224967966319} , current_best_acc: 0.9368478857770456 train_loss: 0.49939340353012085
epoch 10: {'accuracy': 0.9342851912868387} , current_best_acc: 0.9368478857770456 train_loss: 0.30725571513175964
epoch 11: {'accuracy': 0.9384953322350357} , current_best_acc: 0.9384953322350357 train_loss: 0.2521958351135254
epoch 12: {'accuracy': 0.9412410763316859} , current_best_acc: 0.9412410763316859 train_loss: 0.1077687218785286
epoch 13: {'accuracy': 0.9364817865641589} , current_best_acc: 0.9412410763316859 train_loss: 0.04095786437392235
epoch 14: {'accuracy': 0.9364817865641589} , current_best_acc: 0.9412410763316859 train_loss: 0.19009815156459808
epoch 15: {'accuracy': 0.938678381841479} , current_best_acc: 0.9412410763316859 train_loss: 0.2310647964477539
epoch 16: {'accuracy': 0.938678381841479} , current_best_acc: 0.9412410763316859 train_loss: 0.040684498846530914
epoch 17: {'accuracy': 0.9377631338092624} , current_best_acc: 0.9412410763316859 train_loss: 0.14059099555015564
epoch 18: {'accuracy': 0.9390444810543658} , current_best_acc: 0.9412410763316859 train_loss: 0.017996996641159058
epoch 19: {'accuracy': 0.9414241259381292} , current_best_acc: 0.9414241259381292 train_loss: 0.03736687824130058
epoch 20: {'accuracy': 0.9390444810543658} , current_best_acc: 0.9414241259381292 train_loss: 0.5079407095909119
epoch 21: {'accuracy': 0.9445359692476661} , current_best_acc: 0.9445359692476661 train_loss: 0.04797710105776787
epoch 22: {'accuracy': 0.9441698700347795} , current_best_acc: 0.9445359692476661 train_loss: 0.0346904881298542
epoch 23: {'accuracy': 0.9406919275123559} , current_best_acc: 0.9445359692476661 train_loss: 0.3830280601978302
epoch 24: {'accuracy': 0.943437671609006} , current_best_acc: 0.9445359692476661 train_loss: 0.03241512179374695
