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

@@ -1,33 +1,34 @@
 ---
 language: ja
-datasets:
-- common_voice
-metrics:
-- wer
-- cer
+license: apache-2.0
 tags:
 - audio
 - automatic-speech-recognition
 - speech
 - xlsr-fine-tuning-week
-license: apache-2.0
+datasets:
+- common_voice
+metrics:
+- wer
+- cer
+base_model: facebook/wav2vec2-large-xlsr-53
 model-index:
 - name: XLSR Wav2Vec2 Japanese by Jonatas Grosman
   results:
-  - task: 
-      name: Speech Recognition
+  - task:
       type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
       name: Common Voice ja
       type: common_voice
       args: ja
     metrics:
-       - name: Test WER
-         type: wer
-         value: 81.80
-       - name: Test CER
-         type: cer
-         value: 20.16
+    - type: wer
+      value: 81.8
+      name: Test WER
+    - type: cer
+      value: 20.16
+      name: Test CER
 ---
 
 # Fine-tuned XLSR-53 large model for speech recognition in Japanese