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

@@ -1,34 +1,35 @@
 ---
 language: ja
+license: apache-2.0
+tags:
+- audio
+- automatic-speech-recognition
+- speech
+- xlsr-fine-tuning-week
 datasets:
-  - common_voice
-  - jsut
+- common_voice
+- jsut
 metrics:
-  - wer
-  - cer
-tags:
-  - audio
-  - automatic-speech-recognition
-  - speech
-  - xlsr-fine-tuning-week
-license: apache-2.0
+- wer
+- cer
+base_model: facebook/wav2vec2-large-xlsr-53
 model-index:
-  - name: Japanese XLSR Wav2Vec2 Large 53
-    results:
-      - task:
-          name: Speech Recognition
-          type: automatic-speech-recognition
-        dataset:
-          name: Common Voice ja
-          type: common_voice
-          args: ja
-        metrics:
-          - name: Test WER
-            type: wer
-            value: 51.72
-          - name: Test CER
-            type: cer
-            value: 24.89
+- name: Japanese XLSR Wav2Vec2 Large 53
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Speech Recognition
+    dataset:
+      name: Common Voice ja
+      type: common_voice
+      args: ja
+    metrics:
+    - type: wer
+      value: 51.72
+      name: Test WER
+    - type: cer
+      value: 24.89
+      name: Test CER
 ---
 
 # Wav2Vec2-Large-XLSR-53-Japanese