Test

This is a test

README.md

@@ -9,17 +9,6 @@ metrics:
 model-index:
 - name: multi-class-classification
   results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: emotion
-      type: emotion
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.928
   - task:
       type: text-classification
       name: Text Classification
@@ -29,53 +18,57 @@ model-index:
       config: default
       split: test
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
+      value: 0.9185
+      name: Accuracy
+      verified: true
+    - type: accuracy
       value: 0.9185
+      name: Accuracy
       verified: true
-    - name: Precision Macro
-      type: precision
+    - type: precision
       value: 0.8738350796775306
+      name: Precision Macro
       verified: true
-    - name: Precision Micro
-      type: precision
+    - type: precision
       value: 0.9185
+      name: Precision Micro
       verified: true
-    - name: Precision Weighted
-      type: precision
+    - type: precision
       value: 0.9179425177997311
+      name: Precision Weighted
       verified: true
-    - name: Recall Macro
-      type: recall
+    - type: recall
       value: 0.8650962919021573
+      name: Recall Macro
       verified: true
-    - name: Recall Micro
-      type: recall
+    - type: recall
       value: 0.9185
+      name: Recall Micro
       verified: true
-    - name: Recall Weighted
-      type: recall
+    - type: recall
       value: 0.9185
+      name: Recall Weighted
       verified: true
-    - name: F1 Macro
-      type: f1
+    - type: f1
       value: 0.8692821860210945
+      name: F1 Macro
       verified: true
-    - name: F1 Micro
-      type: f1
+    - type: f1
       value: 0.9185
+      name: F1 Micro
       verified: true
-    - name: F1 Weighted
-      type: f1
+    - type: f1
       value: 0.9181177508591364
+      name: F1 Weighted
       verified: true
-    - name: loss
-      type: loss
-      value: 0.20905950665473938
+    - type: loss
+      value: 0.20907790958881378
+      name: loss
       verified: true
-    - name: matthews_correlation
-      type: matthews_correlation
+    - type: matthews_correlation
       value: 0.8920254536671932
+      name: matthews_correlation
       verified: true
 ---