update model card README.md

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 tags:
 - generated_from_trainer
 datasets:
@@ -13,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE MRPC
       type: glue
       config: mrpc
       split: validation
@@ -32,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # baseline-ft-mrpc-IRoberta-b-unquantized
 
-This model is a fine-tuned version of [kssteven/ibert-roberta-base](https://huggingface.co/kssteven/ibert-roberta-base) on the glue dataset.
+This model is a fine-tuned version of [kssteven/ibert-roberta-base](https://huggingface.co/kssteven/ibert-roberta-base) on the GLUE MRPC dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5354
 - Accuracy: 0.8995