Update README.md

README.md

@@ -7,7 +7,22 @@ datasets:
 - squad_v2
 model-index:
 - name: bert-base-uncased-finetuned-squad_v2
-  results: []
+  results: 
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad_v2
+      type: squad_v2
+      config: squad_v2
+      split: validation
+    metrics:
+    - type: exact_match
+      value: 71.6920
+      name: Exact Match
+    - type: f1
+      value: 75.4437
+      name: F1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,21 +30,21 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-finetuned-squad_v2
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.7075
-
-## Model description
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering. 
 
-More information needed
 
-## Intended uses & limitations
-
-More information needed
+It achieves the following results on the evaluation set:
+- Loss: 1.7075
+- Exact Match: 71.6920
+- F1-score: 75.4437
 
-## Training and evaluation data
 
-More information needed
+## Overview
+**Language model:** bert-base-uncased  
+**Language:** English  
+**Downstream-task:** Extractive QA  
+**Training data:** SQuAD 2.0  
+**Eval data:** SQuAD 2.0  
 
 ## Training procedure