Update README.md

README.md

@@ -4,9 +4,13 @@ This sentiment classifier classifies textual data into three classes: Positive,
 
 The classifier is based on google/canine-s, therefore, character-based. Thus, keep in mind that text pre-processing will affect results significantly.
 
-After fine-tuning, the model these achieved scores in the test set:
+After fine-tuning, the model these achieved these scores in the test set:
 
-Accuracy: 0.82174688057041, Precision: 0.8252264610535646, Recall: 0.8259560973518955, F1 Macro: 0.820257587240921, F1 Micro: 0.82174688057041
+Accuracy: 0.82174688057041
+Precision: 0.8252264610535646
+Recall: 0.8259560973518955
+F1 Macro: 0.820257587240921
+F1 Micro: 0.82174688057041
 
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 license: cc-by-4.0