epoch 0: {'accuracy': 0.5588235294117647, 'f1': 0.5566502463054187} , current_best_acc: 0.5588235294117647 train_loss: 0.8328884840011597
epoch 1: {'accuracy': 0.7622549019607843, 'f1': 0.8457869634340223} , current_best_acc: 0.7622549019607843 train_loss: 0.6626641750335693
epoch 2: {'accuracy': 0.8137254901960784, 'f1': 0.8492063492063492} , current_best_acc: 0.8137254901960784 train_loss: 0.5003975629806519
epoch 3: {'accuracy': 0.7279411764705882, 'f1': 0.8056042031523643} , current_best_acc: 0.8137254901960784 train_loss: 0.6620938181877136
epoch 4: {'accuracy': 0.875, 'f1': 0.9043151969981238} , current_best_acc: 0.875 train_loss: 0.5112670063972473
epoch 5: {'accuracy': 0.8897058823529411, 'f1': 0.9203539823008849} , current_best_acc: 0.8897058823529411 train_loss: 0.23298081755638123
epoch 6: {'accuracy': 0.8700980392156863, 'f1': 0.9112227805695142} , current_best_acc: 0.8897058823529411 train_loss: 0.3465452790260315
epoch 7: {'accuracy': 0.8921568627450981, 'f1': 0.9230769230769231} , current_best_acc: 0.8921568627450981 train_loss: 0.23786799609661102
epoch 8: {'accuracy': 0.8970588235294118, 'f1': 0.9222222222222223} , current_best_acc: 0.8970588235294118 train_loss: 0.24272048473358154
epoch 9: {'accuracy': 0.8897058823529411, 'f1': 0.9203539823008849} , current_best_acc: 0.8970588235294118 train_loss: 0.5107920169830322
epoch 10: {'accuracy': 0.8799019607843137, 'f1': 0.9168081494057725} , current_best_acc: 0.8970588235294118 train_loss: 0.2040807008743286
epoch 11: {'accuracy': 0.8995098039215687, 'f1': 0.9274336283185841} , current_best_acc: 0.8995098039215687 train_loss: 0.15099021792411804
epoch 12: {'accuracy': 0.8995098039215687, 'f1': 0.9253187613843351} , current_best_acc: 0.8995098039215687 train_loss: 0.19469210505485535
epoch 13: {'accuracy': 0.8995098039215687, 'f1': 0.9258589511754068} , current_best_acc: 0.8995098039215687 train_loss: 0.39331066608428955
epoch 14: {'accuracy': 0.9044117647058824, 'f1': 0.9309734513274336} , current_best_acc: 0.9044117647058824 train_loss: 0.11082470417022705
epoch 15: {'accuracy': 0.8995098039215687, 'f1': 0.927689594356261} , current_best_acc: 0.9044117647058824 train_loss: 0.2730221450328827
epoch 16: {'accuracy': 0.9044117647058824, 'f1': 0.9299820466786356} , current_best_acc: 0.9044117647058824 train_loss: 0.3633548617362976
epoch 17: {'accuracy': 0.8946078431372549, 'f1': 0.9246935201401051} , current_best_acc: 0.9044117647058824 train_loss: 0.060409266501665115
epoch 18: {'accuracy': 0.8970588235294118, 'f1': 0.9263157894736842} , current_best_acc: 0.9044117647058824 train_loss: 0.08910318464040756
epoch 19: {'accuracy': 0.8995098039215687, 'f1': 0.9269162210338681} , current_best_acc: 0.9044117647058824 train_loss: 0.03472232073545456
epoch 20: {'accuracy': 0.8946078431372549, 'f1': 0.9216757741347905} , current_best_acc: 0.9044117647058824 train_loss: 0.12219425290822983
epoch 21: {'accuracy': 0.8970588235294118, 'f1': 0.925531914893617} , current_best_acc: 0.9044117647058824 train_loss: 0.06984643638134003
epoch 22: {'accuracy': 0.8897058823529411, 'f1': 0.9200710479573713} , current_best_acc: 0.9044117647058824 train_loss: 0.04530748724937439
epoch 23: {'accuracy': 0.8897058823529411, 'f1': 0.9222797927461139} , current_best_acc: 0.9044117647058824 train_loss: 0.07907290756702423
epoch 24: {'accuracy': 0.8970588235294118, 'f1': 0.9244604316546763} , current_best_acc: 0.9044117647058824 train_loss: 0.007836485281586647
epoch 25: {'accuracy': 0.9117647058823529, 'f1': 0.9357142857142857} , current_best_acc: 0.9117647058823529 train_loss: 0.00037274081842042506
epoch 26: {'accuracy': 0.9117647058823529, 'f1': 0.9354838709677419} , current_best_acc: 0.9117647058823529 train_loss: 0.0014375051250681281
epoch 27: {'accuracy': 0.8995098039215687, 'f1': 0.927689594356261} , current_best_acc: 0.9117647058823529 train_loss: 0.0012714220210909843
epoch 28: {'accuracy': 0.9044117647058824, 'f1': 0.9309734513274336} , current_best_acc: 0.9117647058823529 train_loss: 0.010457828640937805
epoch 29: {'accuracy': 0.9068627450980392, 'f1': 0.9328621908127208} , current_best_acc: 0.9117647058823529 train_loss: 0.00931350514292717
