Update README.md

README.md

@@ -22,10 +22,10 @@ It achieves the following results on the evaluation set, being 1,000 verdicts tr
 - F1 Misinformation: 0.9751
 - F1 Factual: 0.9508
 - F1 Other: 0.5965
-- Prec Macro: 0.8323
-- Prec Misinformation: 0.9818
-- Prec Factual: 1.0
-- Prec Other: 0.5152
+- Precision Macro: 0.8323
+- Precision Misinformation: 0.9818
+- Precision Factual: 1.0
+- Precision Other: 0.5152
 
 ## Training procedure
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Misinformation | F1 Factual | F1 Other | Prec Macro | Prec Misinformation | Prec Factual | Prec Other |
+| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Misinformation | F1 Factual | F1 Other | Precision Macro | Precision Misinformation | Precision Factual | Precision Other |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:----------:|:--------:|:----------:|:-------------------:|:------------:|:----------:|
 | 1.034         | 0.98  | 57   | 0.9960          | 0.3136   | 0.9408            | 0.0        | 0.0      | 0.2961     | 0.8882              | 0.0          | 0.0        |
 | 0.968         | 1.98  | 114  | 0.8945          | 0.3136   | 0.9408            | 0.0        | 0.0      | 0.2961     | 0.8882              | 0.0          | 0.0        |