Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`google/bigbird-roberta-base`](https://huggingface.co/google/bigbird-roberta-base) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

README.md

@@ -6,9 +6,10 @@ tags:
 - generated_from_trainer
 datasets:
 - health_fact
+base_model: google/bigbird-roberta-base
 model-index:
 - name: bigbird-base-health-fact
-  results: 
+  results:
   - task:
       type: text-classification
       name: Text Classification
@@ -17,24 +18,24 @@ model-index:
       type: health_fact
       split: test
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.6694031411935434
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.7948094079480941
-    - name: False Accuracy
-      type: accuracy
+      name: Accuracy
+    - type: accuracy
       value: 0.8092783505154639
-    - name: Mixture Accuracy
-      type: accuracy
+      name: False Accuracy
+    - type: accuracy
       value: 0.4975124378109453
-    - name: True Accuracy
-      type: accuracy
+      name: Mixture Accuracy
+    - type: accuracy
       value: 0.9148580968280468
-    - name: Unproven Accuracy
-      type: accuracy
+      name: True Accuracy
+    - type: accuracy
       value: 0.4
+      name: Unproven Accuracy
 ---