epoch 0: {'accuracy': 0.7132352941176471, 'f1': 0.8235294117647058} , current_best_acc: 0.7132352941176471 train_loss: 0.6443345546722412
epoch 1: {'accuracy': 0.7794117647058824, 'f1': 0.8534201954397395} , current_best_acc: 0.7794117647058824 train_loss: 0.5127826929092407
epoch 2: {'accuracy': 0.7720588235294118, 'f1': 0.8151093439363817} , current_best_acc: 0.7794117647058824 train_loss: 0.5342057943344116
epoch 3: {'accuracy': 0.803921568627451, 'f1': 0.863013698630137} , current_best_acc: 0.803921568627451 train_loss: 0.3641243875026703
epoch 4: {'accuracy': 0.8235294117647058, 'f1': 0.8795986622073578} , current_best_acc: 0.8235294117647058 train_loss: 0.6134944558143616
epoch 5: {'accuracy': 0.8284313725490197, 'f1': 0.8844884488448845} , current_best_acc: 0.8284313725490197 train_loss: 0.2584020495414734
epoch 6: {'accuracy': 0.8651960784313726, 'f1': 0.9023090586145648} , current_best_acc: 0.8651960784313726 train_loss: 0.3732728660106659
epoch 7: {'accuracy': 0.8676470588235294, 'f1': 0.9028776978417267} , current_best_acc: 0.8676470588235294 train_loss: 0.4545149803161621
epoch 8: {'accuracy': 0.8651960784313726, 'f1': 0.9026548672566371} , current_best_acc: 0.8676470588235294 train_loss: 0.31885573267936707
epoch 9: {'accuracy': 0.8651960784313726, 'f1': 0.8956356736242884} , current_best_acc: 0.8676470588235294 train_loss: 0.16431069374084473
epoch 10: {'accuracy': 0.8725490196078431, 'f1': 0.9078014184397163} , current_best_acc: 0.8725490196078431 train_loss: 0.7897950410842896
epoch 11: {'accuracy': 0.8602941176470589, 'f1': 0.8901734104046243} , current_best_acc: 0.8725490196078431 train_loss: 0.2698695659637451
epoch 12: {'accuracy': 0.8970588235294118, 'f1': 0.926056338028169} , current_best_acc: 0.8970588235294118 train_loss: 0.33802226185798645
epoch 13: {'accuracy': 0.8921568627450981, 'f1': 0.9214285714285714} , current_best_acc: 0.8970588235294118 train_loss: 0.17026165127754211
epoch 14: {'accuracy': 0.8995098039215687, 'f1': 0.9274336283185841} , current_best_acc: 0.8995098039215687 train_loss: 0.40886035561561584
epoch 15: {'accuracy': 0.8774509803921569, 'f1': 0.9137931034482759} , current_best_acc: 0.8995098039215687 train_loss: 0.11495783179998398
epoch 16: {'accuracy': 0.8676470588235294, 'f1': 0.9075342465753424} , current_best_acc: 0.8995098039215687 train_loss: 0.07418762892484665
epoch 17: {'accuracy': 0.8799019607843137, 'f1': 0.9144851657940664} , current_best_acc: 0.8995098039215687 train_loss: 0.3720230460166931
epoch 18: {'accuracy': 0.8872549019607843, 'f1': 0.9184397163120568} , current_best_acc: 0.8995098039215687 train_loss: 0.10881249606609344
epoch 19: {'accuracy': 0.8700980392156863, 'f1': 0.9045045045045045} , current_best_acc: 0.8995098039215687 train_loss: 0.041224122047424316
epoch 20: {'accuracy': 0.875, 'f1': 0.9109947643979057} , current_best_acc: 0.8995098039215687 train_loss: 0.01088973693549633
epoch 21: {'accuracy': 0.8799019607843137, 'f1': 0.9141856392294221} , current_best_acc: 0.8995098039215687 train_loss: 0.004335042089223862
epoch 22: {'accuracy': 0.8700980392156863, 'f1': 0.9090909090909091} , current_best_acc: 0.8995098039215687 train_loss: 0.02108769677579403
epoch 23: {'accuracy': 0.8627450980392157, 'f1': 0.9069767441860465} , current_best_acc: 0.8995098039215687 train_loss: 0.002538087544962764
epoch 24: {'accuracy': 0.8799019607843137, 'f1': 0.9156626506024096} , current_best_acc: 0.8995098039215687 train_loss: 0.19428277015686035
epoch 25: {'accuracy': 0.8848039215686274, 'f1': 0.9162210338680927} , current_best_acc: 0.8995098039215687 train_loss: 0.005490720272064209
epoch 26: {'accuracy': 0.8700980392156863, 'f1': 0.9023941068139963} , current_best_acc: 0.8995098039215687 train_loss: 0.0509096197783947
epoch 27: {'accuracy': 0.875, 'f1': 0.9119170984455959} , current_best_acc: 0.8995098039215687 train_loss: 0.02965090610086918
epoch 28: {'accuracy': 0.8504901960784313, 'f1': 0.897822445561139} , current_best_acc: 0.8995098039215687 train_loss: 0.04083682969212532
epoch 29: {'accuracy': 0.8848039215686274, 'f1': 0.9156193895870736} , current_best_acc: 0.8995098039215687 train_loss: 0.009568054229021072
epoch 30: {'accuracy': 0.8774509803921569, 'f1': 0.9119718309859155} , current_best_acc: 0.8995098039215687 train_loss: 0.06540272384881973
epoch 31: {'accuracy': 0.8602941176470589, 'f1': 0.896551724137931} , current_best_acc: 0.8995098039215687 train_loss: 0.0009624430676922202
epoch 32: {'accuracy': 0.8725490196078431, 'f1': 0.9037037037037037} , current_best_acc: 0.8995098039215687 train_loss: 0.05037612468004227
epoch 33: {'accuracy': 0.875, 'f1': 0.91005291005291} , current_best_acc: 0.8995098039215687 train_loss: 0.17595860362052917
epoch 34: {'accuracy': 0.8823529411764706, 'f1': 0.9127272727272727} , current_best_acc: 0.8995098039215687 train_loss: 0.0026710894890129566
epoch 35: {'accuracy': 0.8578431372549019, 'f1': 0.8945454545454545} , current_best_acc: 0.8995098039215687 train_loss: 0.006614168174564838
epoch 36: {'accuracy': 0.8578431372549019, 'f1': 0.9003436426116839} , current_best_acc: 0.8995098039215687 train_loss: 0.0531274750828743
epoch 37: {'accuracy': 0.8774509803921569, 'f1': 0.9097472924187726} , current_best_acc: 0.8995098039215687 train_loss: 0.0007793652475811541
epoch 38: {'accuracy': 0.8921568627450981, 'f1': 0.9197080291970803} , current_best_acc: 0.8995098039215687 train_loss: 0.08112351596355438
epoch 39: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.8995098039215687 train_loss: 0.0024012585636228323
epoch 40: {'accuracy': 0.8676470588235294, 'f1': 0.9032258064516129} , current_best_acc: 0.8995098039215687 train_loss: 0.013478318229317665
epoch 41: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.8995098039215687 train_loss: 0.00022779412392992526
epoch 42: {'accuracy': 0.875, 'f1': 0.9077757685352622} , current_best_acc: 0.8995098039215687 train_loss: 0.001318134367465973
epoch 43: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.8995098039215687 train_loss: 0.0002831961610354483
epoch 44: {'accuracy': 0.8823529411764706, 'f1': 0.9142857142857143} , current_best_acc: 0.8995098039215687 train_loss: 8.496247028233483e-05
epoch 45: {'accuracy': 0.8774509803921569, 'f1': 0.9128919860627178} , current_best_acc: 0.8995098039215687 train_loss: 0.003990486264228821
epoch 46: {'accuracy': 0.8700980392156863, 'f1': 0.9061946902654867} , current_best_acc: 0.8995098039215687 train_loss: 0.004776675254106522
epoch 47: {'accuracy': 0.8848039215686274, 'f1': 0.91651865008881} , current_best_acc: 0.8995098039215687 train_loss: 0.010263935662806034
epoch 48: {'accuracy': 0.8725490196078431, 'f1': 0.9090909090909091} , current_best_acc: 0.8995098039215687 train_loss: 0.018150703981518745
epoch 49: {'accuracy': 0.875, 'f1': 0.9106830122591943} , current_best_acc: 0.8995098039215687 train_loss: 5.941737981629558e-05
