update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 tags:
 - generated_from_trainer
 datasets:
@@ -15,7 +13,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: GLUE QQP
+      name: glue
       type: glue
       config: qqp
       split: validation
@@ -23,10 +21,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8679940638139995
+      value: 0.8781103141231759
     - name: F1
       type: f1
-      value: 0.8221652060910999
+      value: 0.8354371201496026
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv1_qqp
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE QQP dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3039
-- Accuracy: 0.8680
-- F1: 0.8222
-- Combined Score: 0.8451
+- Loss: 0.4176
+- Accuracy: 0.8781
+- F1: 0.8354
+- Combined Score: 0.8568
 
 ## Model description