Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`microsoft/xtremedistil-l6-h256-uncased`](https://huggingface.co/microsoft/xtremedistil-l6-h256-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

@@ -2,12 +2,12 @@
 license: mit
 tags:
 - generated_from_keras_callback
+datasets:
+- jonaskoenig/Questions-vs-Statements-Classification
+base_model: microsoft/xtremedistil-l6-h256-uncased
 model-index:
 - name: xtremedistil-l6-h256-uncased-question-vs-statement-classifier
   results: []
-datasets:
-- jonaskoenig/Questions-vs-Statements-Classification
-
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should