epoch 0: {'accuracy': 0.8519663616126638, 'f1': 0.8129862825360122} , current_best_acc: 0.8519663616126638 train_loss: 0.2566011846065521
epoch 1: {'accuracy': 0.8735839722977987, 'f1': 0.8318141432755273} , current_best_acc: 0.8735839722977987 train_loss: 0.33552613854408264
epoch 2: {'accuracy': 0.8759337125896611, 'f1': 0.8277235884050007} , current_best_acc: 0.8759337125896611 train_loss: 0.16766200959682465
epoch 3: {'accuracy': 0.8789265396982439, 'f1': 0.8473698980387265} , current_best_acc: 0.8789265396982439 train_loss: 0.07025676220655441
epoch 4: {'accuracy': 0.8831808063319317, 'f1': 0.8391951244424772} , current_best_acc: 0.8831808063319317 train_loss: 0.2979312241077423
epoch 5: {'accuracy': 0.883007667573584, 'f1': 0.8356611771245918} , current_best_acc: 0.8831808063319317 train_loss: 0.09479209035634995
epoch 6: {'accuracy': 0.8924313628493693, 'f1': 0.8568041882058542} , current_best_acc: 0.8924313628493693 train_loss: 0.2913815975189209
epoch 7: {'accuracy': 0.891788276032649, 'f1': 0.852619167929931} , current_best_acc: 0.8924313628493693 train_loss: 0.1712626963853836
epoch 8: {'accuracy': 0.8931733860994311, 'f1': 0.8595127346062519} , current_best_acc: 0.8931733860994311 train_loss: 0.31775039434432983
epoch 9: {'accuracy': 0.8930002473410834, 'f1': 0.860774974253347} , current_best_acc: 0.8931733860994311 train_loss: 0.5249506831169128
epoch 10: {'accuracy': 0.8960425426663369, 'f1': 0.8618297774417305} , current_best_acc: 0.8960425426663369 train_loss: 0.4056854248046875
epoch 11: {'accuracy': 0.8961167449913431, 'f1': 0.861395287439773} , current_best_acc: 0.8961167449913431 train_loss: 0.1684214025735855
epoch 12: {'accuracy': 0.8955973287162998, 'f1': 0.8649063850216034} , current_best_acc: 0.8961167449913431 train_loss: 0.05888426676392555
epoch 13: {'accuracy': 0.8979223348998269, 'f1': 0.8631676668545473} , current_best_acc: 0.8979223348998269 train_loss: 0.44453978538513184
epoch 14: {'accuracy': 0.8979965372248331, 'f1': 0.8661821013693296} , current_best_acc: 0.8979965372248331 train_loss: 0.0950452908873558
epoch 15: {'accuracy': 0.8971061093247589, 'f1': 0.8663668486990042} , current_best_acc: 0.8979965372248331 train_loss: 0.05503566563129425
epoch 16: {'accuracy': 0.8983922829581994, 'f1': 0.8668826960466623} , current_best_acc: 0.8983922829581994 train_loss: 0.02280685305595398
epoch 17: {'accuracy': 0.8991095720999258, 'f1': 0.8684490598897023} , current_best_acc: 0.8991095720999258 train_loss: 0.07781349122524261
epoch 18: {'accuracy': 0.8989859015582489, 'f1': 0.8662474618458113} , current_best_acc: 0.8991095720999258 train_loss: 0.10001871734857559
epoch 19: {'accuracy': 0.8999010635666584, 'f1': 0.8680856612014733} , current_best_acc: 0.8999010635666584 train_loss: 0.3350165784358978
