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

@@ -1,8 +1,7 @@
 ---
-license: apache-2.0
 language: fr
+license: apache-2.0
 library_name: transformers
-thumbnail: null
 tags:
 - automatic-speech-recognition
 - hf-asr-leaderboard
@@ -11,12 +10,13 @@ datasets:
 - mozilla-foundation/common_voice_11_0
 metrics:
 - wer
+base_model: openai/whisper-large-v2
 model-index:
 - name: Fine-tuned whisper-large-v2 model for ASR in French
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
@@ -24,15 +24,15 @@ model-index:
       split: test
       args: fr
     metrics:
-    - name: WER (Greedy)
-      type: wer
+    - type: wer
       value: 8.05
-    - name: WER (Beam 5)
-      type: wer
+      name: WER (Greedy)
+    - type: wer
       value: 7.67
+      name: WER (Beam 5)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Multilingual LibriSpeech (MLS)
       type: facebook/multilingual_librispeech
@@ -40,15 +40,15 @@ model-index:
       split: test
       args: french
     metrics:
-    - name: WER (Greedy)
-      type: wer
+    - type: wer
       value: 5.56
-    - name: WER (Beam 5)
-      type: wer
+      name: WER (Greedy)
+    - type: wer
       value: 5.28
+      name: WER (Beam 5)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: VoxPopuli
       type: facebook/voxpopuli
@@ -56,15 +56,15 @@ model-index:
       split: test
       args: fr
     metrics:
-    - name: WER (Greedy)
-      type: wer
-      value: 11.50
-    - name: WER (Beam 5)
-      type: wer
+    - type: wer
+      value: 11.5
+      name: WER (Greedy)
+    - type: wer
       value: 10.69
+      name: WER (Beam 5)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Fleurs
       type: google/fleurs
@@ -72,15 +72,15 @@ model-index:
       split: test
       args: fr_fr
     metrics:
-    - name: WER (Greedy)
-      type: wer
+    - type: wer
       value: 5.42
-    - name: WER (Beam 5)
-      type: wer
+      name: WER (Greedy)
+    - type: wer
       value: 5.05
+      name: WER (Beam 5)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: African Accented French
       type: gigant/african_accented_french
@@ -88,12 +88,12 @@ model-index:
       split: test
       args: fr
     metrics:
-    - name: WER (Greedy)
-      type: wer
+    - type: wer
       value: 6.47
-    - name: WER (Beam 5)
-      type: wer
+      name: WER (Greedy)
+    - type: wer
       value: 5.95
+      name: WER (Beam 5)
 ---
 
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