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

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

@neehau

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-emotion-default-98e72c-1536755281).\
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

@@ -2,7 +2,8 @@
 ---
 language: en
 widget:
-- text: "I am really upset that I have to call up to three times to the number on the back of my insurance card for my call to be answer"
+- text: I am really upset that I have to call up to three times to the number on the
+    back of my insurance card for my call to be answer
 tags:
 - sagemaker
 - roberta-base
@@ -13,20 +14,72 @@ datasets:
 model-index:
 - name: sagemaker-roberta-base-emotion
   results:
-  - task: 
+  - task:
       name: Multi Class Text Classification
       type: text-classification
     dataset:
-      name: "emotion" 
+      name: emotion
       type: emotion
     metrics:
-       - name: Validation Accuracy
-         type: accuracy
-         value: 94.1
-       - name: Validation F1
-         type: f1
-         value: 94.13
-  
+    - name: Validation Accuracy
+      type: accuracy
+      value: 94.1
+    - name: Validation F1
+      type: f1
+      value: 94.13
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.931
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8833042147663716
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.931
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9337002742192515
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9087144572668905
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.931
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.931
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8949974527433656
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.931
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9318434300647934
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.17379647493362427
+      verified: true
 ---
 ## roberta-base