Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`./facebook/wav2vec2-large-xlsr-53`](https://huggingface.co/./facebook/wav2vec2-large-xlsr-53) 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

@@ -8,65 +8,50 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_9_0
+base_model: ./facebook/wav2vec2-large-xlsr-53
 model-index:
 - name: wav2vec2-large-xlsr-53-german-cv9
-  results:   
+  results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 9
-      type: mozilla-foundation/common_voice_9_0
-      args: de
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 9.480663281840769
-    - name: Test CER
-      type: cer
-      value: 1.9167347943074394
-  - task:
       name: Automatic Speech Recognition
-      type: automatic-speech-recognition
     dataset:
       name: Common Voice 9
       type: mozilla-foundation/common_voice_9_0
       args: de
     metrics:
-    - name: Test WER (+LM)
-      type: wer
+    - type: wer
+      value: 9.48066328184077
+      name: Test WER
+    - type: cer
+      value: 1.9167347943074393
+      name: Test CER
+    - type: wer
       value: 7.49027762774117
-    - name: Test CER  (+LM)
-      type: cer
-      value: 1.9167347943074394
+      name: Test WER (+LM)
+    - type: cer
+      value: 1.9167347943074393
+      name: Test CER  (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 6.1
-      type: common_voice
-      args: de
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 8.122005951166668
-    - name: Test CER
-      type: cer
-      value: 1.
-  - task:
       name: Automatic Speech Recognition
-      type: automatic-speech-recognition
     dataset:
       name: Common Voice 6.1
       type: common_voice
       args: de
     metrics:
-    - name: Test WER (+LM)
-      type: wer
-      value: 6.1453182045203544
-    - name: Test CER (+LM)
-      type: cer
+    - type: wer
+      value: 8.122005951166669
+      name: Test WER
+    - type: cer
+      value: 1.0
+      name: Test CER
+    - type: wer
+      value: 6.145318204520354
+      name: Test WER (+LM)
+    - type: cer
       value: 1.5247743373447677
+      name: Test CER (+LM)
 ---
 
 # wav2vec2-large-xlsr-53-german-cv9