Add evaluation results on the sst2 config and validation split of glue

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the sst2 config and validation split of the [glue](https://huggingface.co/datasets/glue) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-b7ccdeae-8bc5-40c1-85ae-3aef82a8e55e-1917).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=glue).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue).

README.md

@@ -10,52 +10,44 @@ model-index:
 - name: autoevaluate-binary-classification
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: glue
       type: glue
       args: sst2
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.8967889908256881
-  - task:
-      type: text-classification
-      name: Text Classification
-    dataset:
-      name: glue
-      type: glue
-      config: sst2
-      split: validation
-    metrics:
-    - name: Accuracy
-      type: accuracy
+      name: Accuracy
+      verified: true
+    - type: accuracy
       value: 0.8967889908256881
+      name: Accuracy
       verified: true
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.8898678414096917
+      name: Precision
       verified: true
-    - name: Recall
-      type: recall
+    - type: recall
       value: 0.9099099099099099
+      name: Recall
       verified: true
-    - name: AUC
-      type: auc
-      value: 0.967247621453229
+    - type: auc
+      value: 0.9672186789593331
+      name: AUC
       verified: true
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.8997772828507795
+      name: F1
       verified: true
-    - name: loss
-      type: loss
+    - type: loss
       value: 0.30091655254364014
+      name: loss
       verified: true
-    - name: matthews_correlation
-      type: matthews_correlation
+    - type: matthews_correlation
       value: 0.793630584795814
+      name: matthews_correlation
       verified: true
 ---