update model card README.md

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: mit
 tags:
 - generated_from_trainer
@@ -14,16 +16,16 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE QQP
       type: glue
       args: qqp
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9148899332179075
+      value: 0.9152609448429384
     - name: F1
       type: f1
-      value: 0.8858062589187933
+      value: 0.8867138416771377
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-qqp
 
-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 QQP dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5647
-- Accuracy: 0.9149
-- F1: 0.8858
-- Combined Score: 0.9003
+- Loss: 0.4435
+- Accuracy: 0.9153
+- F1: 0.8867
+- Combined Score: 0.9010
 
 ## Model description