Add evaluation results on the plain_text config and dev_r1 split of anli

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the plain_text config and dev_r1 split of the [anli](https://huggingface.co/datasets/anli) dataset by

@ctkang

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-anli-plain_text-f2dca1-2066067125).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=anli).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=anli).

README.md

@@ -174,6 +174,59 @@ model-index:
       type: loss
       value: 0.3283354640007019
       verified: true
+  - task:
+      type: natural-language-inference
+      name: Natural Language Inference
+    dataset:
+      name: anli
+      type: anli
+      config: plain_text
+      split: dev_r1
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.737
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.737681071614645
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.737
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.7376755842752241
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.7369675064285843
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.737
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.737
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.7366853496239583
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.737
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.7366990292378379
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.9349392056465149
+      verified: true
 ---
 # DeBERTa-v3-base-mnli-fever-anli
 ## Model description