Librarian Bot: Add base_model information to model

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

@@ -4,6 +4,7 @@ tags:
 - generated_from_trainer
 metrics:
 - wer
+base_model: openai/whisper-medium-en
 model-index:
 - name: openai/whisper-medium-en
   results:
@@ -17,31 +18,13 @@ model-index:
       split: test
     metrics:
     - type: wer
-      value: 8.85 
+      value: 8.85
       name: WER
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: cslu_scripted
-      type: asr
-      config: en
-      split: test
-    metrics:
     - type: wer
-      value: 2.38 
+      value: 2.38
       name: WER
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: cslu_spontaneous
-      type: asr
-      config: en
-      split: test
-    metrics:
     - type: wer
-      value: 16.53 
+      value: 16.53
       name: WER
   - task:
       type: automatic-speech-recognition
@@ -55,7 +38,6 @@ model-index:
     - type: wer
       value: 3.52
       name: WER
-  
 ---