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

@@ -10,12 +10,13 @@ datasets:
 metrics:
 - wer
 - cer
+base_model: openai/whisper-large-v2
 model-index:
 - name: Whisper Large French
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: mozilla-foundation/common_voice_11_0 fr
       type: mozilla-foundation/common_voice_11_0
@@ -23,15 +24,15 @@ model-index:
       split: test
       args: fr
     metrics:
-    - name: WER
-      type: wer
-      value: 9.086701085988962
-    - name: CER
-      type: cer
+    - type: wer
+      value: 9.086701085988961
+      name: WER
+    - type: cer
       value: 3.327312134958326
+      name: CER
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: google/fleurs fr_fr
       type: google/fleurs
@@ -39,12 +40,12 @@ model-index:
       split: test
       args: fr_fr
     metrics:
-    - name: WER
-      type: wer
+    - type: wer
       value: 8.6863088842391
-    - name: CER
-      type: cer
+      name: WER
+    - type: cer
       value: 5.089870653452041
+      name: CER
 ---
 
 # Whisper Large French