Add evaluation results on emotion dataset

README.md

@@ -1,5 +1,5 @@
 ---
-language: 
+language:
 - en
 thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
 tags:
@@ -11,6 +11,62 @@ datasets:
 - emotion
 metrics:
 - Accuracy, F1 Score
+model-index:
+- name: bhadresh-savani/bert-base-uncased-emotion
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9265
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8859601677706858
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9265
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9265082039990273
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.879224648382427
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9265
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9265
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8821398657055098
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9265
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9262425173620311
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.17315374314785004
+      verified: true
 ---
 # bert-base-uncased-emotion