Librarian Bot: Add base_model information to model

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

@@ -1,25 +1,20 @@
 ---
-datasets:
-- squad
 license: apache-2.0
-tags: 
+tags:
 - generated_from_keras_callback
-metrics: 
+datasets:
+- squad
+metrics:
 - f1
-model-index: 
+widget:
+- context: 'Keras is an API designed for human beings, not machines. Keras follows
+    best practices for reducing cognitive load: it offers consistent & simple APIs,
+    it minimizes the number of user actions required for common use cases, and it
+    provides clear and actionable feedback upon user error.'
+base_model: distilbert-base-cased
+model-index:
 - name: transformers-qa
-  results: 
-  - task: 
-      name: "Question Answering"
-      type: question-answering
-    dataset: 
-      type: squad
-      name: SQuAD
-      args: en
-    metrics:
-      []
-widget: 
-  - context: "Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear and actionable feedback upon user error."
+  results: []
 ---
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->