Add evaluation results on the amazon_polarity config and test split of amazon_polarity (#2)

- Add evaluation results on the amazon_polarity config and test split of amazon_polarity (eedfdd1825280159d9ad08627bdd2405fb2a4868)


Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>

README.md

@@ -21,6 +21,39 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.94647
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: amazon_polarity
+      type: amazon_polarity
+      config: amazon_polarity
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9464875
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.9528844934702675
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.939425
+      verified: true
+    - name: AUC
+      type: auc
+      value: 0.9863499156250001
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.9461068798388619
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.2944573760032654
+      verified: true
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You