epoch 0: {'accuracy': 0.6911764705882353, 'f1': 0.8157894736842105} , current_best_acc: 0.6911764705882353 train_loss: 0.3314322531223297
epoch 1: {'accuracy': 0.7205882352941176, 'f1': 0.8251533742331288} , current_best_acc: 0.7205882352941176 train_loss: 0.5872498750686646
epoch 2: {'accuracy': 0.8063725490196079, 'f1': 0.8676716917922948} , current_best_acc: 0.8063725490196079 train_loss: 0.3711871802806854
epoch 3: {'accuracy': 0.8382352941176471, 'f1': 0.8735632183908046} , current_best_acc: 0.8382352941176471 train_loss: 0.54667067527771
epoch 4: {'accuracy': 0.7965686274509803, 'f1': 0.8309572301425662} , current_best_acc: 0.8382352941176471 train_loss: 0.53705894947052
epoch 5: {'accuracy': 0.8627450980392157, 'f1': 0.9024390243902439} , current_best_acc: 0.8627450980392157 train_loss: 0.7023811340332031
epoch 6: {'accuracy': 0.8823529411764706, 'f1': 0.9111111111111111} , current_best_acc: 0.8823529411764706 train_loss: 0.3676326870918274
epoch 7: {'accuracy': 0.8504901960784313, 'f1': 0.8810916179337231} , current_best_acc: 0.8823529411764706 train_loss: 0.26627597212791443
epoch 8: {'accuracy': 0.8553921568627451, 'f1': 0.8921389396709324} , current_best_acc: 0.8823529411764706 train_loss: 0.6605418920516968
epoch 9: {'accuracy': 0.8725490196078431, 'f1': 0.9087719298245615} , current_best_acc: 0.8823529411764706 train_loss: 0.22227957844734192
epoch 10: {'accuracy': 0.8872549019607843, 'f1': 0.9181494661921709} , current_best_acc: 0.8872549019607843 train_loss: 0.36881402134895325
epoch 11: {'accuracy': 0.8651960784313726, 'f1': 0.9078726968174204} , current_best_acc: 0.8872549019607843 train_loss: 0.151980921626091
epoch 12: {'accuracy': 0.875, 'f1': 0.9084380610412927} , current_best_acc: 0.8872549019607843 train_loss: 0.9382941126823425
epoch 13: {'accuracy': 0.875, 'f1': 0.9109947643979057} , current_best_acc: 0.8872549019607843 train_loss: 0.057330287992954254
epoch 14: {'accuracy': 0.8921568627450981, 'f1': 0.921146953405018} , current_best_acc: 0.8921568627450981 train_loss: 0.06400035321712494
epoch 15: {'accuracy': 0.875, 'f1': 0.91005291005291} , current_best_acc: 0.8921568627450981 train_loss: 0.09787542372941971
epoch 16: {'accuracy': 0.8700980392156863, 'f1': 0.9094017094017094} , current_best_acc: 0.8921568627450981 train_loss: 0.2840181291103363
epoch 17: {'accuracy': 0.8676470588235294, 'f1': 0.9014598540145985} , current_best_acc: 0.8921568627450981 train_loss: 0.016169708222150803
epoch 18: {'accuracy': 0.8799019607843137, 'f1': 0.9150779896013865} , current_best_acc: 0.8921568627450981 train_loss: 0.20911571383476257
epoch 19: {'accuracy': 0.8897058823529411, 'f1': 0.9217391304347826} , current_best_acc: 0.8921568627450981 train_loss: 0.257415235042572
epoch 20: {'accuracy': 0.8848039215686274, 'f1': 0.9143897996357013} , current_best_acc: 0.8921568627450981 train_loss: 0.08453879505395889
epoch 21: {'accuracy': 0.8872549019607843, 'f1': 0.9154411764705882} , current_best_acc: 0.8921568627450981 train_loss: 0.0472293458878994
epoch 22: {'accuracy': 0.8970588235294118, 'f1': 0.9233576642335767} , current_best_acc: 0.8970588235294118 train_loss: 0.07813774794340134
epoch 23: {'accuracy': 0.8799019607843137, 'f1': 0.9123434704830053} , current_best_acc: 0.8970588235294118 train_loss: 0.1996559202671051
epoch 24: {'accuracy': 0.8799019607843137, 'f1': 0.9123434704830053} , current_best_acc: 0.8970588235294118 train_loss: 0.01692255213856697
epoch 25: {'accuracy': 0.8700980392156863, 'f1': 0.9041591320072333} , current_best_acc: 0.8970588235294118 train_loss: 0.010405031964182854
epoch 26: {'accuracy': 0.8946078431372549, 'f1': 0.9244288224956063} , current_best_acc: 0.8970588235294118 train_loss: 0.0008536463719792664
epoch 27: {'accuracy': 0.8872549019607843, 'f1': 0.9198606271777003} , current_best_acc: 0.8970588235294118 train_loss: 0.023388784378767014
epoch 28: {'accuracy': 0.875, 'f1': 0.9077757685352622} , current_best_acc: 0.8970588235294118 train_loss: 0.015229009091854095
epoch 29: {'accuracy': 0.8872549019607843, 'f1': 0.9166666666666666} , current_best_acc: 0.8970588235294118 train_loss: 0.019231412559747696
epoch 30: {'accuracy': 0.8872549019607843, 'f1': 0.9184397163120568} , current_best_acc: 0.8970588235294118 train_loss: 0.005598530173301697
epoch 31: {'accuracy': 0.8848039215686274, 'f1': 0.9182608695652174} , current_best_acc: 0.8970588235294118 train_loss: 0.02423585020005703
epoch 32: {'accuracy': 0.8921568627450981, 'f1': 0.9230769230769231} , current_best_acc: 0.8970588235294118 train_loss: 0.017795346677303314
epoch 33: {'accuracy': 0.8799019607843137, 'f1': 0.9107468123861566} , current_best_acc: 0.8970588235294118 train_loss: 0.23370380699634552
epoch 34: {'accuracy': 0.8921568627450981, 'f1': 0.9205776173285198} , current_best_acc: 0.8970588235294118 train_loss: 0.0012726560235023499
epoch 35: {'accuracy': 0.8970588235294118, 'f1': 0.925} , current_best_acc: 0.8970588235294118 train_loss: 0.12301001697778702
epoch 36: {'accuracy': 0.8921568627450981, 'f1': 0.9205776173285198} , current_best_acc: 0.8970588235294118 train_loss: 0.00019097008043900132
epoch 37: {'accuracy': 0.8872549019607843, 'f1': 0.9157509157509157} , current_best_acc: 0.8970588235294118 train_loss: 0.002598394174128771
epoch 38: {'accuracy': 0.8872549019607843, 'f1': 0.9181494661921709} , current_best_acc: 0.8970588235294118 train_loss: 0.0026180497370660305
epoch 39: {'accuracy': 0.8897058823529411, 'f1': 0.9209138840070299} , current_best_acc: 0.8970588235294118 train_loss: 0.12774115800857544
epoch 40: {'accuracy': 0.8970588235294118, 'f1': 0.925531914893617} , current_best_acc: 0.8970588235294118 train_loss: 0.0010641703847795725
epoch 41: {'accuracy': 0.9044117647058824, 'f1': 0.93048128342246} , current_best_acc: 0.9044117647058824 train_loss: 0.00036261597415432334
epoch 42: {'accuracy': 0.8897058823529411, 'f1': 0.9194991055456172} , current_best_acc: 0.9044117647058824 train_loss: 5.4678144806530327e-05
epoch 43: {'accuracy': 0.8897058823529411, 'f1': 0.9220103986135182} , current_best_acc: 0.9044117647058824 train_loss: 0.001655704341828823
epoch 44: {'accuracy': 0.8970588235294118, 'f1': 0.9257950530035336} , current_best_acc: 0.9044117647058824 train_loss: 0.0008603620226494968
epoch 45: {'accuracy': 0.9068627450980392, 'f1': 0.9311594202898551} , current_best_acc: 0.9068627450980392 train_loss: 5.713344580726698e-05
epoch 46: {'accuracy': 0.9019607843137255, 'f1': 0.9298245614035088} , current_best_acc: 0.9068627450980392 train_loss: 7.944798562675714e-05
epoch 47: {'accuracy': 0.8970588235294118, 'f1': 0.9257950530035336} , current_best_acc: 0.9068627450980392 train_loss: 0.0001236639654962346
epoch 48: {'accuracy': 0.8946078431372549, 'f1': 0.9238938053097345} , current_best_acc: 0.9068627450980392 train_loss: 0.00602373480796814
epoch 49: {'accuracy': 0.8946078431372549, 'f1': 0.9238938053097345} , current_best_acc: 0.9068627450980392 train_loss: 8.192128734663129e-05
