Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`bert-base-uncased`](https://huggingface.co/bert-base-uncased) 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

@@ -1,14 +1,15 @@
 ---
 license: cc-by-nc-4.0
-pipeline_tag: sentence-similarity
 tags:
-    - sentence-transformers
-    - feature-extraction
-    - sentence-similarity
-    - transformers
-    - generated_from_trainer
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+- generated_from_trainer
 datasets:
-    - squad
+- squad
+pipeline_tag: sentence-similarity
+base_model: bert-base-uncased
 ---
 
 # bert-base-uncased-embedding-step-scheduler