Update README.md

README.md

@@ -5,9 +5,9 @@ license: apache-2.0
 The classifier uses DenseNet161 as the encoder and some linear layers at classifier base. 
 
 # Model accuracy:
-Model achieves 91.3% accuracy on the validation set.
-F1-score per class: {'digital': 0.9873773235685747, 'hard': 0.9338602782753218, 'soft': 0.8444277483052108}
-Mean F1-score: 0.9218884500497024
+Model achieves 91.3% accuracy on the validation set. \
+F1-score per class: {'digital': 0.9873773235685747, 'hard': 0.9338602782753218, 'soft': 0.8444277483052108} \
+Mean F1-score: 0.9218884500497024 \
 Accuracy: 0.913