epoch 0: {'accuracy': 0.8325006183527084, 'f1': 0.7673172072567345} , current_best_acc: 0.8325006183527084 train_loss: 0.21042226254940033
epoch 1: {'accuracy': 0.848651991095721, 'f1': 0.8110428311150912} , current_best_acc: 0.848651991095721 train_loss: 0.32638758420944214
epoch 2: {'accuracy': 0.8598812762799901, 'f1': 0.8046349622374729} , current_best_acc: 0.8598812762799901 train_loss: 0.06364511698484421
epoch 3: {'accuracy': 0.8626267623052188, 'f1': 0.8278896808180973} , current_best_acc: 0.8626267623052188 train_loss: 0.15857326984405518
epoch 4: {'accuracy': 0.8661142715805096, 'f1': 0.8307750023447026} , current_best_acc: 0.8661142715805096 train_loss: 0.15955473482608795
epoch 5: {'accuracy': 0.8675488498639624, 'f1': 0.8331307843320557} , current_best_acc: 0.8675488498639624 train_loss: 0.3542811870574951
epoch 6: {'accuracy': 0.8693049715557755, 'f1': 0.8364896645624459} , current_best_acc: 0.8693049715557755 train_loss: 0.2846626341342926
epoch 7: {'accuracy': 0.8718773188226564, 'f1': 0.8386091724825523} , current_best_acc: 0.8718773188226564 train_loss: 0.08735644817352295
epoch 8: {'accuracy': 0.8749938164729162, 'f1': 0.8400936531038411} , current_best_acc: 0.8749938164729162 train_loss: 0.0598050057888031
epoch 9: {'accuracy': 0.8767252040563938, 'f1': 0.8384231342799715} , current_best_acc: 0.8767252040563938 train_loss: 0.21593648195266724
epoch 10: {'accuracy': 0.8795943606232995, 'f1': 0.8390637397513885} , current_best_acc: 0.8795943606232995 train_loss: 0.1231420710682869
epoch 11: {'accuracy': 0.8753400939896117, 'f1': 0.8421942513620139} , current_best_acc: 0.8795943606232995 train_loss: 0.10028550773859024
epoch 12: {'accuracy': 0.8804600544150384, 'f1': 0.8430895100808415} , current_best_acc: 0.8804600544150384 train_loss: 0.1664970964193344
epoch 13: {'accuracy': 0.8800148404650012, 'f1': 0.8374057315233786} , current_best_acc: 0.8804600544150384 train_loss: 0.08823516964912415
epoch 14: {'accuracy': 0.8788770714815731, 'f1': 0.832047192783894} , current_best_acc: 0.8804600544150384 train_loss: 0.28401678800582886
epoch 15: {'accuracy': 0.8825871877318823, 'f1': 0.846687982430643} , current_best_acc: 0.8825871877318823 train_loss: 0.31583529710769653
epoch 16: {'accuracy': 0.882883997031907, 'f1': 0.8438685000164869} , current_best_acc: 0.882883997031907 train_loss: 0.04762522876262665
epoch 17: {'accuracy': 0.8833044768736087, 'f1': 0.8465591257967998} , current_best_acc: 0.8833044768736087 train_loss: 0.3636225163936615
epoch 18: {'accuracy': 0.8814988869651249, 'f1': 0.8479578559867983} , current_best_acc: 0.8833044768736087 train_loss: 0.04590125009417534
epoch 19: {'accuracy': 0.883947563690329, 'f1': 0.8452506596306069} , current_best_acc: 0.883947563690329 train_loss: 0.19133776426315308
epoch 20: {'accuracy': 0.8850853326737571, 'f1': 0.848772866349847} , current_best_acc: 0.8850853326737571 train_loss: 0.345012903213501
epoch 21: {'accuracy': 0.8851100667820925, 'f1': 0.847759824325653} , current_best_acc: 0.8851100667820925 train_loss: 0.07159800082445145
epoch 22: {'accuracy': 0.8851842691070987, 'f1': 0.8474732207399619} , current_best_acc: 0.8851842691070987 train_loss: 0.7685458660125732
epoch 23: {'accuracy': 0.8850853326737571, 'f1': 0.8482096184004182} , current_best_acc: 0.8851842691070987 train_loss: 0.27635177969932556
epoch 24: {'accuracy': 0.8861241652238436, 'f1': 0.8480528052805281} , current_best_acc: 0.8861241652238436 train_loss: 0.024440312758088112
epoch 25: {'accuracy': 0.8852337373237695, 'f1': 0.8504961979636552} , current_best_acc: 0.8861241652238436 train_loss: 0.36343812942504883
epoch 26: {'accuracy': 0.8857531535988128, 'f1': 0.8503482909444354} , current_best_acc: 0.8861241652238436 train_loss: 0.05112864077091217
epoch 27: {'accuracy': 0.8867177838238931, 'f1': 0.8504636280527622} , current_best_acc: 0.8867177838238931 train_loss: 0.3321979343891144
epoch 28: {'accuracy': 0.8850605985654217, 'f1': 0.8500338851776551} , current_best_acc: 0.8867177838238931 train_loss: 0.056095968931913376
epoch 29: {'accuracy': 0.8864951768488746, 'f1': 0.8492988736002102} , current_best_acc: 0.8867177838238931 train_loss: 0.38439592719078064
epoch 30: {'accuracy': 0.8865446450655454, 'f1': 0.8491168053682445} , current_best_acc: 0.8867177838238931 train_loss: 0.1083192229270935
epoch 31: {'accuracy': 0.8867425179322286, 'f1': 0.8515865556023725} , current_best_acc: 0.8867425179322286 train_loss: 0.34854328632354736
epoch 32: {'accuracy': 0.886643581498887, 'f1': 0.8511384675349986} , current_best_acc: 0.8867425179322286 train_loss: 0.12484607100486755
epoch 33: {'accuracy': 0.8871382636655949, 'f1': 0.8516821062896148} , current_best_acc: 0.8871382636655949 train_loss: 0.17919860780239105
epoch 34: {'accuracy': 0.8873856047489488, 'f1': 0.8513014794735295} , current_best_acc: 0.8873856047489488 train_loss: 0.06234964728355408
