Add evaluation results on the plain_text config of anli

README.md

@@ -68,6 +68,59 @@ model-index:
       type: loss
       value: 1.8788293600082397
       verified: true
+  - task:
+      type: natural-language-inference
+      name: Natural Language Inference
+    dataset:
+      name: anli
+      type: anli
+      config: plain_text
+      split: test_r2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.547
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.5472132584534576
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.547
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.5472045067334657
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.5469811128493762
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.547
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.547
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.5465246991169268
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.547
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.5465299992353281
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.6385536193847656
+      verified: true
 ---
 # DeBERTa-v3-base-mnli-fever-anli
 ## Model description