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: 0.8651001731387583
+      value: 0.8760079149146673
     - name: F1
       type: f1
-      value: 0.8160291438979962
+      value: 0.8322233006459385
 ---
 
 <!-- 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. -->
 
 # hBERTv2_qqp
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE QQP dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3129
-- Accuracy: 0.8651
-- F1: 0.8160
-- Combined Score: 0.8406
+- Loss: 0.4723
+- Accuracy: 0.8760
+- F1: 0.8322
+- Combined Score: 0.8541
 
 ## Model description