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

@@ -1,27 +1,28 @@
 ---
+language:
+- en
 license: apache-2.0
+library_name: transformers
 tags:
 - generated_from_trainer
 - medical
-model-index:
-- name: stop_reasons_classificator_multilabel
-  results: []
 datasets:
 - opentargets/clinical_trial_reason_to_stop
-language:
-- en
 metrics:
 - accuracy
-library_name: transformers
 widget:
-  - text: "Study stopped due to problems to recruit patients"
-    example_title: "Enrollment issues"
-  - text: "Efficacy endpoint unmet"
-    example_title: "Negative reasons"
-  - text: "Study stopped due to unexpected adverse effects"
-    example_title: "Safety"
-  - text: "Study paused due to the pandemic"
-    example_title: "COVID-19"
+- text: Study stopped due to problems to recruit patients
+  example_title: Enrollment issues
+- text: Efficacy endpoint unmet
+  example_title: Negative reasons
+- text: Study stopped due to unexpected adverse effects
+  example_title: Safety
+- text: Study paused due to the pandemic
+  example_title: COVID-19
+base_model: bert-base-uncased
+model-index:
+- name: stop_reasons_classificator_multilabel
+  results: []
 ---
 
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