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

README.md

@@ -24,6 +24,59 @@ model-index:
     - name: F1
       type: f1
       value: 0.9273822408882375
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.919
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8882001804445858
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.919
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9194695149914663
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.857858142469294
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.919
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.919
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8684381937860847
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.919
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9182406234430719
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.21632428467273712
+      verified: true
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You