Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#1)

- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (b713e1eaf2dd9f038c69545936260b7649b66d91)


Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>

README.md

@@ -1,17 +1,24 @@
 ---
-language: 
-  - en
-thumbnail: "https://github.com/AI-Ahmed"
+language:
+- en
+license: cc-by-4.0
 tags:
 - classification
-license: cc-by-4.0
 datasets:
 - SetFit/qqp
-models:
-- microsoft/deberta-v3-base
 metrics:
 - accuracy
 - loss
+thumbnail: https://github.com/AI-Ahmed
+models:
+- microsoft/deberta-v3-base
+pipeline_tag: text-classification
+widget:
+- text: How is the life of a math student? Could you describe your own experiences?
+    Which level of preparation is enough for the exam jlpt5?
+  example_title: Difference Detection.
+- text: What can one do after MBBS? What do i do after my MBBS?
+  example_title: Duplicates Detection.
 model-index:
 - name: deberta-v3-base-funetuned-cls-qqa
   results:
@@ -24,20 +31,16 @@ model-index:
       config: sst2
       split: validation
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.917969
+      name: Accuracy
       verified: true
-    - name: loss
-      type: loss
-      value: 0.217410
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzA2OWM4ZjJkYzZjNmM3YmNkODNhODYzOTMxY2RjZTZmODg4ODA4ZjJmNjFhNjkwZjFmZjk3YjBiNzhjNDAzOCIsInZlcnNpb24iOjF9.TqdmhhV_3fTWYHtM7SJj35ICZgZ6Ux7qYXwPHu8j0MkDmSeZfTniFCqB8LO8pqM1bK5iHQV1-vggZUdMu4spCA
+    - type: loss
+      value: 0.21741
+      name: loss
       verified: true
-pipeline_tag: text-classification
-widget:
-- text: How is the life of a math student? Could you describe your own experiences? Which level of preparation is enough for the exam jlpt5?
-  example_title: "Difference Detection."
-- text: What can one do after MBBS? What do i do after my MBBS?
-  example_title: "Duplicates Detection."
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGQzZGZjNzZjNzFjOWViNjkyNGIxMGE5ZjA5ODAxOTNiZGQ5OTY4NWM1YThlZGEyZGRjOGE2MjkwYTRjN2Q2MyIsInZlcnNpb24iOjF9.ZxmqxdbOhAA8Ywz8_Q3aFaFG2kmTogFdWjlHgEa2JnGQWhL39VVtcn6A8gtekE_e3z5jsaNS4EnSzYVSWJZjAQ
 ---
 
 A fine-tuned model based on the **DeBERTaV3** model of Microsoft and fine-tuned on **Glue QQP**, which detects the linguistical similarities between two questions and whether they are duplicates questions or different.