Add evaluation results on emotion

Beep boop, I am a bot from Hugging Face's automatic evaluation service! Your model has been evaluated on the [emotion](https://huggingface.co/datasets/emotion) dataset. Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=emotion). Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/autoevaluate?dataset=emotion).

README.md

@@ -20,6 +20,55 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.928
+  - metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9185
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8738350796775306
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9185
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9179425177997311
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.8650962919021573
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9185
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9185
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8692821860210945
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9185
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9181177508591364
+      verified: true
+    task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You