epoch 0: {'accuracy': 0.6102941176470589, 'f1': 0.6505494505494506} , current_best_acc: 0.6102941176470589 train_loss: 0.6684163212776184
epoch 1: {'accuracy': 0.7990196078431373, 'f1': 0.8546099290780141} , current_best_acc: 0.7990196078431373 train_loss: 0.3605973422527313
epoch 2: {'accuracy': 0.6838235294117647, 'f1': 0.8122270742358079} , current_best_acc: 0.7990196078431373 train_loss: 0.5635637044906616
epoch 3: {'accuracy': 0.7720588235294118, 'f1': 0.8553654743390358} , current_best_acc: 0.7990196078431373 train_loss: 0.5472255945205688
epoch 4: {'accuracy': 0.8014705882352942, 'f1': 0.8691437802907916} , current_best_acc: 0.8014705882352942 train_loss: 0.4909791350364685
epoch 5: {'accuracy': 0.8308823529411765, 'f1': 0.8859504132231405} , current_best_acc: 0.8308823529411765 train_loss: 0.27720457315444946
epoch 6: {'accuracy': 0.8602941176470589, 'f1': 0.9038785834738617} , current_best_acc: 0.8602941176470589 train_loss: 0.23467321693897247
epoch 7: {'accuracy': 0.8676470588235294, 'f1': 0.9075342465753424} , current_best_acc: 0.8676470588235294 train_loss: 0.5200797319412231
epoch 8: {'accuracy': 0.9068627450980392, 'f1': 0.9311594202898551} , current_best_acc: 0.9068627450980392 train_loss: 0.1460258811712265
epoch 9: {'accuracy': 0.8799019607843137, 'f1': 0.9144851657940664} , current_best_acc: 0.9068627450980392 train_loss: 0.42789530754089355
epoch 10: {'accuracy': 0.8946078431372549, 'f1': 0.9244288224956063} , current_best_acc: 0.9068627450980392 train_loss: 0.3017828166484833
epoch 11: {'accuracy': 0.8799019607843137, 'f1': 0.9150779896013865} , current_best_acc: 0.9068627450980392 train_loss: 0.17070135474205017
epoch 12: {'accuracy': 0.8921568627450981, 'f1': 0.9185185185185185} , current_best_acc: 0.9068627450980392 train_loss: 0.22951631247997284
epoch 13: {'accuracy': 0.8774509803921569, 'f1': 0.9122807017543859} , current_best_acc: 0.9068627450980392 train_loss: 0.04294509440660477
epoch 14: {'accuracy': 0.8872549019607843, 'f1': 0.9204152249134948} , current_best_acc: 0.9068627450980392 train_loss: 0.14184467494487762
epoch 15: {'accuracy': 0.8921568627450981, 'f1': 0.9233449477351916} , current_best_acc: 0.9068627450980392 train_loss: 0.01752845011651516
epoch 16: {'accuracy': 0.8897058823529411, 'f1': 0.9206349206349206} , current_best_acc: 0.9068627450980392 train_loss: 0.01051495410501957
epoch 17: {'accuracy': 0.9044117647058824, 'f1': 0.9312169312169312} , current_best_acc: 0.9068627450980392 train_loss: 0.10120461881160736
epoch 18: {'accuracy': 0.8700980392156863, 'f1': 0.9001883239171374} , current_best_acc: 0.9068627450980392 train_loss: 0.0575735867023468
epoch 19: {'accuracy': 0.8823529411764706, 'f1': 0.9145907473309609} , current_best_acc: 0.9068627450980392 train_loss: 0.01322128064930439
epoch 20: {'accuracy': 0.8725490196078431, 'f1': 0.9015151515151515} , current_best_acc: 0.9068627450980392 train_loss: 0.007101042661815882
epoch 21: {'accuracy': 0.8897058823529411, 'f1': 0.9177330895795247} , current_best_acc: 0.9068627450980392 train_loss: 0.03559618070721626
epoch 22: {'accuracy': 0.8774509803921569, 'f1': 0.9119718309859155} , current_best_acc: 0.9068627450980392 train_loss: 0.003861529752612114
epoch 23: {'accuracy': 0.8799019607843137, 'f1': 0.9129662522202486} , current_best_acc: 0.9068627450980392 train_loss: 0.0018293537432327867
epoch 24: {'accuracy': 0.8774509803921569, 'f1': 0.9131944444444444} , current_best_acc: 0.9068627450980392 train_loss: 0.0011160335270687938
epoch 25: {'accuracy': 0.8823529411764706, 'f1': 0.9145907473309609} , current_best_acc: 0.9068627450980392 train_loss: 0.054245419800281525
epoch 26: {'accuracy': 0.8848039215686274, 'f1': 0.9171075837742504} , current_best_acc: 0.9068627450980392 train_loss: 0.0024153576232492924
epoch 27: {'accuracy': 0.8823529411764706, 'f1': 0.9151943462897526} , current_best_acc: 0.9068627450980392 train_loss: 0.013229364529252052
epoch 28: {'accuracy': 0.8823529411764706, 'f1': 0.9157894736842105} , current_best_acc: 0.9068627450980392 train_loss: 0.00025750091299414635
epoch 29: {'accuracy': 0.8823529411764706, 'f1': 0.9151943462897526} , current_best_acc: 0.9068627450980392 train_loss: 0.00014579706476069987
