update model card README.md

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: mit
 tags:
 - generated_from_trainer
@@ -13,13 +15,13 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE RTE
       type: glue
       args: rte
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7725631768953068
+      value: 0.7978339350180506
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-rte
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3534
-- Accuracy: 0.7726
+- Loss: 0.5446
+- Accuracy: 0.7978
 
 ## Model description