0: {'accuracy': 0.8590155824882513, 'f1': 0.8097336270779091} , current_best_acc: 0.8590155824882513 train_loss: 0.1330186426639557
epoch 1: {'accuracy': 0.8755627009646302, 'f1': 0.8358939230844505} , current_best_acc: 0.8755627009646302 train_loss: 0.06934934109449387
epoch 2: {'accuracy': 0.8800395745733366, 'f1': 0.8441115968115197} , current_best_acc: 0.8800395745733366 train_loss: 0.4618253707885742
epoch 3: {'accuracy': 0.8857531535988128, 'f1': 0.8501638174327699} , current_best_acc: 0.8857531535988128 train_loss: 0.24854864180088043
epoch 4: {'accuracy': 0.8892406628741034, 'f1': 0.8516727393176549} , current_best_acc: 0.8892406628741034 train_loss: 0.7217407822608948
epoch 5: {'accuracy': 0.8896116744991343, 'f1': 0.8568312321560325} , current_best_acc: 0.8896116744991343 train_loss: 0.2687135338783264
epoch 6: {'accuracy': 0.8898837496908236, 'f1': 0.8489823609226594} , current_best_acc: 0.8898837496908236 train_loss: 0.03060285933315754
epoch 7: {'accuracy': 0.8911699233242641, 'f1': 0.8587479935794543} , current_best_acc: 0.8911699233242641 train_loss: 0.6059472560882568
epoch 8: {'accuracy': 0.8934207271827851, 'f1': 0.8614959339140497} , current_best_acc: 0.8934207271827851 train_loss: 0.01919850893318653
epoch 9: {'accuracy': 0.8959436062329953, 'f1': 0.8629864842859469} , current_best_acc: 0.8959436062329953 train_loss: 0.16426701843738556
epoch 10: {'accuracy': 0.8927034380410587, 'f1': 0.8636106395019808} , current_best_acc: 0.8959436062329953 train_loss: 0.50644451379776
epoch 11: {'accuracy': 0.8970319069997527, 'f1': 0.8604378289583962} , current_best_acc: 0.8970319069997527 train_loss: 0.25167882442474365
epoch 12: {'accuracy': 0.897180311649765, 'f1': 0.8646148835694513} , current_best_acc: 0.897180311649765 train_loss: 0.6199790835380554
epoch 13: {'accuracy': 0.8939648775661637, 'f1': 0.8633973807475385} , current_best_acc: 0.897180311649765 train_loss: 0.015450399369001389
epoch 14: {'accuracy': 0.8982686124165223, 'f1': 0.8669922064482748} , current_best_acc: 0.8982686124165223 train_loss: 0.11955016851425171
epoch 15: {'accuracy': 0.8979223348998269, 'f1': 0.8648170591896229} , current_best_acc: 0.8982686124165223 train_loss: 0.3670710325241089
epoch 16: {'accuracy': 0.8982933465248578, 'f1': 0.862951606452473} , current_best_acc: 0.8982933465248578 train_loss: 0.13886310160160065
epoch 17: {'accuracy': 0.8985901558248826, 'f1': 0.8645344611114782} , current_best_acc: 0.8985901558248826 train_loss: 0.07503355294466019
epoch 18: {'accuracy': 0.8996537224833044, 'f1': 0.868274943991688} , current_best_acc: 0.8996537224833044 train_loss: 0.3953655958175659
epoch 19: {'accuracy': 0.8998515953499876, 'f1': 0.8678309123551493} , current_best_acc: 0.8998515953499876 train_loss: 0.44331154227256775
