Test

This is a test

README.md

@@ -6,6 +6,62 @@ datasets:
 - emotion
 metrics:
 - accuracy
+model-index:
+- name: autoevaluate/multi-class-classification
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: default
+      split: test
+    metrics:
+    - type: accuracy
+      value: 0.9185
+      name: Accuracy
+      verified: true
+    - type: precision
+      value: 0.8738350796775306
+      name: Precision Macro
+      verified: true
+    - type: precision
+      value: 0.9185
+      name: Precision Micro
+      verified: true
+    - type: precision
+      value: 0.9179425177997311
+      name: Precision Weighted
+      verified: true
+    - type: recall
+      value: 0.8650962919021573
+      name: Recall Macro
+      verified: true
+    - type: recall
+      value: 0.9185
+      name: Recall Micro
+      verified: true
+    - type: recall
+      value: 0.9185
+      name: Recall Weighted
+      verified: true
+    - type: f1
+      value: 0.8692821860210945
+      name: F1 Macro
+      verified: true
+    - type: f1
+      value: 0.9185
+      name: F1 Micro
+      verified: true
+    - type: f1
+      value: 0.9181177508591364
+      name: F1 Weighted
+      verified: true
+    - type: loss
+      value: 0.20907790958881378
+      name: loss
+      verified: true
 ---
 
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