epoch 0: {'accuracy': 0.7083333333333334, 'f1': 0.8221225710014948} , current_best_acc: 0.7083333333333334 train_loss: 1.3208236694335938
epoch 1: {'accuracy': 0.7745098039215687, 'f1': 0.8557993730407524} , current_best_acc: 0.7745098039215687 train_loss: 1.1440069675445557
epoch 2: {'accuracy': 0.8627450980392157, 'f1': 0.8931297709923665} , current_best_acc: 0.8627450980392157 train_loss: 0.98845374584198
epoch 3: {'accuracy': 0.8700980392156863, 'f1': 0.9100169779286927} , current_best_acc: 0.8700980392156863 train_loss: 0.968524694442749
epoch 4: {'accuracy': 0.9044117647058824, 'f1': 0.9307282415630551} , current_best_acc: 0.9044117647058824 train_loss: 1.1148219108581543
epoch 5: {'accuracy': 0.9044117647058824, 'f1': 0.93048128342246} , current_best_acc: 0.9044117647058824 train_loss: 0.9822703003883362
epoch 6: {'accuracy': 0.9117647058823529, 'f1': 0.9343065693430657} , current_best_acc: 0.9117647058823529 train_loss: 0.9955398440361023
epoch 7: {'accuracy': 0.8995098039215687, 'f1': 0.9284467713787086} , current_best_acc: 0.9117647058823529 train_loss: 0.8047598600387573
epoch 8: {'accuracy': 0.9044117647058824, 'f1': 0.9312169312169312} , current_best_acc: 0.9117647058823529 train_loss: 0.8619844317436218
epoch 9: {'accuracy': 0.9068627450980392, 'f1': 0.9328621908127208} , current_best_acc: 0.9117647058823529 train_loss: 1.0884019136428833
