epoch 0: {'accuracy': 0.8335641850111304, 'f1': 0.7827462628741162} , current_best_acc: 0.8335641850111304 train_loss: 0.31972745060920715
epoch 1: {'accuracy': 0.8523373732376948, 'f1': 0.8020031838684001} , current_best_acc: 0.8523373732376948 train_loss: 0.4068433344364166
epoch 2: {'accuracy': 0.8634182537719515, 'f1': 0.820842255531763} , current_best_acc: 0.8634182537719515 train_loss: 0.47562775015830994
epoch 3: {'accuracy': 0.8616126638634677, 'f1': 0.8048686918006487} , current_best_acc: 0.8634182537719515 train_loss: 0.26521584391593933
epoch 4: {'accuracy': 0.8696265149641356, 'f1': 0.8252726489210064} , current_best_acc: 0.8696265149641356 train_loss: 0.47710052132606506
epoch 5: {'accuracy': 0.8711352955725946, 'f1': 0.8301271600912944} , current_best_acc: 0.8711352955725946 train_loss: 0.17959396541118622
epoch 6: {'accuracy': 0.8662874103388573, 'f1': 0.8320596458527493} , current_best_acc: 0.8711352955725946 train_loss: 0.45687177777290344
epoch 7: {'accuracy': 0.8740044521395004, 'f1': 0.8373874736640491} , current_best_acc: 0.8740044521395004 train_loss: 0.1393798142671585
epoch 8: {'accuracy': 0.8755132327479594, 'f1': 0.8372303612431681} , current_best_acc: 0.8755132327479594 train_loss: 0.38628077507019043
epoch 9: {'accuracy': 0.8775166955231264, 'f1': 0.839689219812237} , current_best_acc: 0.8775166955231264 train_loss: 0.3247802257537842
epoch 10: {'accuracy': 0.8744991343062083, 'f1': 0.8404603194566721} , current_best_acc: 0.8775166955231264 train_loss: 0.03761053830385208
epoch 11: {'accuracy': 0.8752411575562701, 'f1': 0.8411238503212801} , current_best_acc: 0.8775166955231264 train_loss: 0.014943626709282398
epoch 12: {'accuracy': 0.8768241404897353, 'f1': 0.8424449506454063} , current_best_acc: 0.8775166955231264 train_loss: 0.03399877995252609
epoch 13: {'accuracy': 0.8793964877566164, 'f1': 0.8427806796930418} , current_best_acc: 0.8793964877566164 train_loss: 0.4391508102416992
epoch 14: {'accuracy': 0.879371753648281, 'f1': 0.8421836067695693} , current_best_acc: 0.8793964877566164 train_loss: 0.08248282223939896
epoch 15: {'accuracy': 0.881251545881771, 'f1': 0.8416713385878706} , current_best_acc: 0.881251545881771 train_loss: 0.10083556175231934
epoch 16: {'accuracy': 0.8822409102151867, 'f1': 0.8439374569770872} , current_best_acc: 0.8822409102151867 train_loss: 0.14553406834602356
epoch 17: {'accuracy': 0.8832055404402671, 'f1': 0.8475200206664945} , current_best_acc: 0.8832055404402671 train_loss: 0.12756334245204926
epoch 18: {'accuracy': 0.8833292109819441, 'f1': 0.8446362109284938} , current_best_acc: 0.8833292109819441 train_loss: 0.22977936267852783
epoch 19: {'accuracy': 0.8817956962651496, 'f1': 0.8484637092938453} , current_best_acc: 0.8833292109819441 train_loss: 0.23142778873443604
epoch 20: {'accuracy': 0.8844669799653723, 'f1': 0.8457448565106833} , current_best_acc: 0.8844669799653723 train_loss: 0.22534866631031036
epoch 21: {'accuracy': 0.883255008656938, 'f1': 0.8476042877437686} , current_best_acc: 0.8844669799653723 train_loss: 0.03818142041563988
epoch 22: {'accuracy': 0.884071234232006, 'f1': 0.8454206655453316} , current_best_acc: 0.8844669799653723 train_loss: 0.15250124037265778
epoch 23: {'accuracy': 0.8842196388820183, 'f1': 0.8461664859180387} , current_best_acc: 0.8844669799653723 train_loss: 0.08298172801733017
epoch 24: {'accuracy': 0.8842691070986891, 'f1': 0.8429707688693493} , current_best_acc: 0.8844669799653723 train_loss: 0.09348665922880173
epoch 25: {'accuracy': 0.8854316101904527, 'f1': 0.8477817942819585} , current_best_acc: 0.8854316101904527 train_loss: 0.04039729759097099
epoch 26: {'accuracy': 0.8854563442987881, 'f1': 0.8499692227945702} , current_best_acc: 0.8854563442987881 train_loss: 0.2970498502254486
epoch 27: {'accuracy': 0.8843433094236953, 'f1': 0.8492585428755641} , current_best_acc: 0.8854563442987881 train_loss: 0.011544711887836456
epoch 28: {'accuracy': 0.8860746970071729, 'f1': 0.8505806786478947} , current_best_acc: 0.8860746970071729 train_loss: 0.0995546281337738
epoch 29: {'accuracy': 0.8859015582488251, 'f1': 0.8504554737899958} , current_best_acc: 0.8860746970071729 train_loss: 0.28216415643692017
epoch 30: {'accuracy': 0.8861241652238436, 'f1': 0.8515700560964601} , current_best_acc: 0.8861241652238436 train_loss: 0.10107317566871643
epoch 31: {'accuracy': 0.8865941132822162, 'f1': 0.850918549829296} , current_best_acc: 0.8865941132822162 train_loss: 0.7169752717018127
epoch 32: {'accuracy': 0.8864951768488746, 'f1': 0.8497035993842728} , current_best_acc: 0.8865941132822162 train_loss: 0.3761480748653412
epoch 33: {'accuracy': 0.88651991095721, 'f1': 0.8508937276568086} , current_best_acc: 0.8865941132822162 train_loss: 0.16330021619796753
epoch 34: {'accuracy': 0.8865941132822162, 'f1': 0.8503834230706477} , current_best_acc: 0.8865941132822162 train_loss: 0.24844978749752045
