Add evaluation results on ag_news dataset

README.md

@@ -19,6 +19,62 @@ model_index:
       name: Accuracy
       type: accuracy
       value: 0.9473684210526315
+model-index:
+- name: andi611/distilbert-base-uncased-ner-agnews
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: ag_news
+      type: ag_news
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9473684210526315
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9475794769963632
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9473684210526315
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9475794769963634
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9473684210526315
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9473684210526315
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9473684210526315
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9473486723357012
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9473684210526315
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9473486723357011
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.16519339382648468
+      verified: true
 ---
 
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