Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`openai/whisper-large-v2`](https://huggingface.co/openai/whisper-large-v2) 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

@@ -1,20 +1,21 @@
 ---
+language:
+- se
 license: apache-2.0
 tags:
 - whisper-event
 - generated_from_trainer
 datasets:
 - audiofolder
-language:
-- se
 metrics:
 - wer
+base_model: openai/whisper-large-v2
 model-index:
-- name: "Whisper Large Northern S\xE1mi"
+- name: Whisper Large Northern Sámi
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: audiofolder
       type: audiofolder
@@ -22,9 +23,9 @@ model-index:
       split: test
       args: default
     metrics:
-    - name: Wer
-      type: wer
+    - type: wer
       value: 24.914285714285715
+      name: Wer
 ---
 
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