update model card README.md

README.md

@@ -1,6 +1,4 @@
 ---
-language:
-- en
 tags:
 - generated_from_trainer
 datasets:
@@ -14,13 +12,15 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: GLUE QNLI
+      name: glue
       type: glue
+      config: qnli
+      split: train
       args: qnli
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6086399414241259
+      value: 0.5844773933736043
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilebert_sa_GLUE_Experiment_qnli
 
-This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6524
-- Accuracy: 0.6086
+- Loss: 0.7068
+- Accuracy: 0.5845
 
 ## Model description