Add evaluation results on the default config and test split of emotion

README.md

@@ -20,6 +20,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.937
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9255
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8915483806374028
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9255
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9286522707274408
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.875946770128528
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9255
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9255
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8790048313120858
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9255
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.92449885920049
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.16804923117160797
+      verified: true
 ---
 
 # twitter-emotion-deberta-v3-base