epoch 0: {'accuracy': 0.8520900321543409, 'f1': 0.8166768853464133} , current_best_acc: 0.8520900321543409 train_loss: 0.5435531139373779
epoch 1: {'accuracy': 0.8693791738807816, 'f1': 0.8375226902132111} , current_best_acc: 0.8693791738807816 train_loss: 0.24712054431438446
epoch 2: {'accuracy': 0.8825129854068761, 'f1': 0.8447915305188864} , current_best_acc: 0.8825129854068761 train_loss: 0.07241141051054001
epoch 3: {'accuracy': 0.8851100667820925, 'f1': 0.8511361087074961} , current_best_acc: 0.8851100667820925 train_loss: 0.6527822613716125
epoch 4: {'accuracy': 0.8865693791738808, 'f1': 0.8484467944481163} , current_best_acc: 0.8865693791738808 train_loss: 0.35324403643608093
epoch 5: {'accuracy': 0.8909967845659164, 'f1': 0.8535637149028078} , current_best_acc: 0.8909967845659164 train_loss: 0.04771581292152405
epoch 6: {'accuracy': 0.8928765767994064, 'f1': 0.8590949019097505} , current_best_acc: 0.8928765767994064 train_loss: 0.17747722566127777
epoch 7: {'accuracy': 0.8930744496660895, 'f1': 0.8630271537657235} , current_best_acc: 0.8930744496660895 train_loss: 0.025643767789006233
epoch 8: {'accuracy': 0.894607964382884, 'f1': 0.8576772771301646} , current_best_acc: 0.894607964382884 train_loss: 0.19177651405334473
epoch 9: {'accuracy': 0.8948800395745733, 'f1': 0.8649593289273004} , current_best_acc: 0.8948800395745733 train_loss: 0.00884078536182642
epoch 10: {'accuracy': 0.8941627504328469, 'f1': 0.8534940254048687} , current_best_acc: 0.8948800395745733 train_loss: 0.0600203275680542
epoch 11: {'accuracy': 0.8967598318080633, 'f1': 0.8646036071104191} , current_best_acc: 0.8967598318080633 train_loss: 0.18637870252132416
epoch 12: {'accuracy': 0.8988127627999011, 'f1': 0.8672744379197352} , current_best_acc: 0.8988127627999011 train_loss: 0.12189525365829468
epoch 13: {'accuracy': 0.8972792480831066, 'f1': 0.8667757354120553} , current_best_acc: 0.8988127627999011 train_loss: 0.2563948929309845
epoch 14: {'accuracy': 0.8997279248083107, 'f1': 0.8673081958627913} , current_best_acc: 0.8997279248083107 train_loss: 0.5595210790634155
epoch 15: {'accuracy': 0.8997773930249815, 'f1': 0.8672084944615587} , current_best_acc: 0.8997773930249815 train_loss: 0.14616291224956512
epoch 16: {'accuracy': 0.8986890922582241, 'f1': 0.8678880144497484} , current_best_acc: 0.8997773930249815 train_loss: 0.08527002483606339
epoch 17: {'accuracy': 0.8995300519416275, 'f1': 0.8683477020807675} , current_best_acc: 0.8997773930249815 train_loss: 0.11775684356689453
epoch 18: {'accuracy': 0.8996042542666337, 'f1': 0.8657959993387336} , current_best_acc: 0.8997773930249815 train_loss: 0.055764973163604736
epoch 19: {'accuracy': 0.9002226069750185, 'f1': 0.8684536620361312} , current_best_acc: 0.9002226069750185 train_loss: 0.026946306228637695
