Add evaluation results on the default config of emotion

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

@jsoutherland
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-emotion-21f117d5-11035480).\
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/model-evaluator?dataset=emotion).

README.md

@@ -21,6 +21,62 @@ model_index:
       name: F1
       type: f1
       value: 0.9327347950817506
+model-index:
+- name: jsoutherland/distilbert-base-uncased-finetuned-emotion
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.925
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8954208010579672
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.925
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9256567173431012
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.8711059962680445
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.925
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.925
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8794773714607985
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.925
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9244781949774824
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.17752596735954285
+      verified: true
 ---
 
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