eval_accuracy = 0.7396226415094339
eval_loss = 0.7157507861653963
loss = 0.35714111365377904


              precision    recall  f1-score   support

           0       0.70      0.41      0.52        90
           1       0.75      0.91      0.82       175

    accuracy                           0.74       265
   macro avg       0.72      0.66      0.67       265
weighted avg       0.73      0.74      0.72       265