Update README.md

README.md

@@ -107,9 +107,9 @@ The model was trained with a batch size of 16 and a learning rate of 5e-5 for 5
 This model was finetuned maximizing accuracy.
 
 ## Evaluation results
-We evaluated the roberta-base-ca-cased-te on the TECA test set against standard multilingual and monolingual baselines:
+We evaluated the roberta-base-ca-cased-te on the TE-ca test set against standard multilingual and monolingual baselines:
 
-| Model        | TECA (Accuracy) | 
+| Model        | TE-ca (Accuracy) | 
 | ------------|:----|
 | roberta-base-ca-v2-cased-te | **83.14** |
 | BERTa       | 79.26 |