epoch 0: {'accuracy': 0.7132352941176471, 'f1': 0.8208269525267994} , current_best_acc: 0.7132352941176471 train_loss: 0.5829086303710938
epoch 1: {'accuracy': 0.7598039215686274, 'f1': 0.842948717948718} , current_best_acc: 0.7598039215686274 train_loss: 0.38724976778030396
epoch 2: {'accuracy': 0.821078431372549, 'f1': 0.8726003490401396} , current_best_acc: 0.821078431372549 train_loss: 0.7403453588485718
epoch 3: {'accuracy': 0.6764705882352942, 'f1': 0.6972477064220184} , current_best_acc: 0.821078431372549 train_loss: 0.4616876244544983
epoch 4: {'accuracy': 0.7745098039215687, 'f1': 0.8571428571428571} , current_best_acc: 0.821078431372549 train_loss: 0.4400191307067871
epoch 5: {'accuracy': 0.8455882352941176, 'f1': 0.8781431334622823} , current_best_acc: 0.8455882352941176 train_loss: 0.21956539154052734
epoch 6: {'accuracy': 0.8921568627450981, 'f1': 0.9225352112676056} , current_best_acc: 0.8921568627450981 train_loss: 0.13894866406917572
epoch 7: {'accuracy': 0.8897058823529411, 'f1': 0.9211908931698775} , current_best_acc: 0.8921568627450981 train_loss: 0.305466890335083
epoch 8: {'accuracy': 0.875, 'f1': 0.9113043478260869} , current_best_acc: 0.8921568627450981 train_loss: 0.13057127594947815
epoch 9: {'accuracy': 0.8112745098039216, 'f1': 0.8783570300157978} , current_best_acc: 0.8921568627450981 train_loss: 0.2228269875049591
epoch 10: {'accuracy': 0.8651960784313726, 'f1': 0.9019607843137255} , current_best_acc: 0.8921568627450981 train_loss: 0.40650472044944763
epoch 11: {'accuracy': 0.8651960784313726, 'f1': 0.9053356282271945} , current_best_acc: 0.8921568627450981 train_loss: 0.33151206374168396
epoch 12: {'accuracy': 0.8823529411764706, 'f1': 0.9154929577464789} , current_best_acc: 0.8921568627450981 train_loss: 0.3570108115673065
epoch 13: {'accuracy': 0.8651960784313726, 'f1': 0.8975791433891993} , current_best_acc: 0.8921568627450981 train_loss: 0.1144312247633934
epoch 14: {'accuracy': 0.8848039215686274, 'f1': 0.9171075837742504} , current_best_acc: 0.8921568627450981 train_loss: 0.1490280032157898
epoch 15: {'accuracy': 0.8700980392156863, 'f1': 0.909710391822828} , current_best_acc: 0.8921568627450981 train_loss: 0.13506749272346497
epoch 16: {'accuracy': 0.8995098039215687, 'f1': 0.9279437609841827} , current_best_acc: 0.8995098039215687 train_loss: 0.4433384835720062
epoch 17: {'accuracy': 0.8578431372549019, 'f1': 0.9003436426116839} , current_best_acc: 0.8995098039215687 train_loss: 0.1703454554080963
epoch 18: {'accuracy': 0.8897058823529411, 'f1': 0.9225473321858864} , current_best_acc: 0.8995098039215687 train_loss: 0.03578639775514603
epoch 19: {'accuracy': 0.8651960784313726, 'f1': 0.907563025210084} , current_best_acc: 0.8995098039215687 train_loss: 0.2819223999977112
epoch 20: {'accuracy': 0.8921568627450981, 'f1': 0.9243986254295533} , current_best_acc: 0.8995098039215687 train_loss: 0.017640186473727226
epoch 21: {'accuracy': 0.8872549019607843, 'f1': 0.9220338983050848} , current_best_acc: 0.8995098039215687 train_loss: 0.03234633058309555
epoch 22: {'accuracy': 0.8504901960784313, 'f1': 0.8985024958402662} , current_best_acc: 0.8995098039215687 train_loss: 0.08021996915340424
epoch 23: {'accuracy': 0.8872549019607843, 'f1': 0.9181494661921709} , current_best_acc: 0.8995098039215687 train_loss: 0.04877849295735359
epoch 24: {'accuracy': 0.8921568627450981, 'f1': 0.9214285714285714} , current_best_acc: 0.8995098039215687 train_loss: 0.016579769551753998
epoch 25: {'accuracy': 0.8700980392156863, 'f1': 0.9081455805892548} , current_best_acc: 0.8995098039215687 train_loss: 0.029606228694319725
epoch 26: {'accuracy': 0.8799019607843137, 'f1': 0.9129662522202486} , current_best_acc: 0.8995098039215687 train_loss: 0.17080706357955933
epoch 27: {'accuracy': 0.9068627450980392, 'f1': 0.9333333333333333} , current_best_acc: 0.9068627450980392 train_loss: 0.18177425861358643
epoch 28: {'accuracy': 0.8921568627450981, 'f1': 0.9217081850533808} , current_best_acc: 0.9068627450980392 train_loss: 0.006800374947488308
epoch 29: {'accuracy': 0.8872549019607843, 'f1': 0.9172661870503597} , current_best_acc: 0.9068627450980392 train_loss: 0.03066093660891056
epoch 30: {'accuracy': 0.8823529411764706, 'f1': 0.9133574007220217} , current_best_acc: 0.9068627450980392 train_loss: 0.006490163505077362
epoch 31: {'accuracy': 0.8774509803921569, 'f1': 0.9137931034482759} , current_best_acc: 0.9068627450980392 train_loss: 0.0256215687841177
epoch 32: {'accuracy': 0.9068627450980392, 'f1': 0.9330985915492958} , current_best_acc: 0.9068627450980392 train_loss: 0.0038382913917303085
epoch 33: {'accuracy': 0.8921568627450981, 'f1': 0.9222614840989399} , current_best_acc: 0.9068627450980392 train_loss: 0.0030429218895733356
epoch 34: {'accuracy': 0.8651960784313726, 'f1': 0.9072512647554806} , current_best_acc: 0.9068627450980392 train_loss: 0.005431803409010172
epoch 35: {'accuracy': 0.8946078431372549, 'f1': 0.9252173913043479} , current_best_acc: 0.9068627450980392 train_loss: 0.08299150317907333
epoch 36: {'accuracy': 0.9019607843137255, 'f1': 0.9288256227758007} , current_best_acc: 0.9068627450980392 train_loss: 0.06411831080913544
epoch 37: {'accuracy': 0.8872549019607843, 'f1': 0.9209621993127147} , current_best_acc: 0.9068627450980392 train_loss: 0.008397476747632027
epoch 38: {'accuracy': 0.8725490196078431, 'f1': 0.9112627986348123} , current_best_acc: 0.9068627450980392 train_loss: 0.009148037061095238
epoch 39: {'accuracy': 0.9019607843137255, 'f1': 0.9298245614035088} , current_best_acc: 0.9068627450980392 train_loss: 0.0003156962338835001
epoch 40: {'accuracy': 0.8921568627450981, 'f1': 0.9241379310344827} , current_best_acc: 0.9068627450980392 train_loss: 0.0006035467376932502
epoch 41: {'accuracy': 0.8823529411764706, 'f1': 0.9133574007220217} , current_best_acc: 0.9068627450980392 train_loss: 0.0009573082206770778
epoch 42: {'accuracy': 0.8921568627450981, 'f1': 0.9217081850533808} , current_best_acc: 0.9068627450980392 train_loss: 0.005296965595334768
epoch 43: {'accuracy': 0.8921568627450981, 'f1': 0.9236111111111112} , current_best_acc: 0.9068627450980392 train_loss: 0.0001709227217361331
epoch 44: {'accuracy': 0.8872549019607843, 'f1': 0.9187279151943463} , current_best_acc: 0.9068627450980392 train_loss: 0.035534631460905075
epoch 45: {'accuracy': 0.8897058823529411, 'f1': 0.9222797927461139} , current_best_acc: 0.9068627450980392 train_loss: 0.00018411768542136997
epoch 46: {'accuracy': 0.8848039215686274, 'f1': 0.9173989455184535} , current_best_acc: 0.9068627450980392 train_loss: 0.02867128886282444
epoch 47: {'accuracy': 0.8897058823529411, 'f1': 0.9194991055456172} , current_best_acc: 0.9068627450980392 train_loss: 0.051797933876514435
epoch 48: {'accuracy': 0.8848039215686274, 'f1': 0.9176882661996497} , current_best_acc: 0.9068627450980392 train_loss: 7.710756472079083e-05
epoch 49: {'accuracy': 0.8872549019607843, 'f1': 0.9187279151943463} , current_best_acc: 0.9068627450980392 train_loss: 0.00012604636140167713
