Librarian Bot: Add base_model information to model

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

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -5,23 +5,22 @@ tags:
 - generated_from_trainer
 datasets:
 - sqac
-
 metrics:
 - f1
+base_model: BSC-TeMU/roberta-base-bne
 model-index:
 - name: roberta-base-bne-finetuned-sqac
   results:
   - task:
-      name: Question Answering
       type: Question-Answering
+      name: Question Answering
     dataset:
       name: sqac
       type: sqac
-      args: 
     metrics:
-    - name: f1
-      type: f1
+    - type: f1
       value: 0.7903
+      name: f1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You