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).

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

@@ -1,11 +1,6 @@
 ---
 language: en
-datasets:
-- common_voice
-- mozilla-foundation/common_voice_6_0
-metrics:
-- wer
-- cer
+license: apache-2.0
 tags:
 - audio
 - automatic-speech-recognition
@@ -15,50 +10,56 @@ tags:
 - robust-speech-event
 - speech
 - xlsr-fine-tuning-week
-license: apache-2.0
+datasets:
+- common_voice
+- mozilla-foundation/common_voice_6_0
+metrics:
+- wer
+- cer
+base_model: facebook/wav2vec2-large-xlsr-53
 model-index:
 - name: XLSR Wav2Vec2 English by Jonatas Grosman
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice en
       type: common_voice
       args: en
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 19.06
-    - name: Test CER
-      type: cer
+      name: Test WER
+    - type: cer
       value: 7.69
-    - name: Test WER (+LM)
-      type: wer
+      name: Test CER
+    - type: wer
       value: 14.81
-    - name: Test CER (+LM)
-      type: cer
+      name: Test WER (+LM)
+    - type: cer
       value: 6.84
+      name: Test CER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Robust Speech Event - Dev Data
       type: speech-recognition-community-v2/dev_data
       args: en
     metrics:
-    - name: Dev WER
-      type: wer
+    - type: wer
       value: 27.72
-    - name: Dev CER
-      type: cer
+      name: Dev WER
+    - type: cer
       value: 11.65
-    - name: Dev WER (+LM)
-      type: wer
+      name: Dev CER
+    - type: wer
       value: 20.85
-    - name: Dev CER (+LM)
-      type: cer
+      name: Dev WER (+LM)
+    - type: cer
       value: 11.01
+      name: Dev CER (+LM)
 ---
 
 # Fine-tuned XLSR-53 large model for speech recognition in English