Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`facebook/wav2vec2-xls-r-300m`](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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

@@ -11,6 +11,7 @@ datasets:
 metrics:
 - wer
 - cer
+base_model: facebook/wav2vec2-xls-r-300m
 model-index:
 - name: wav2vec2-xls-r-300m-arabic
   results:
@@ -18,8 +19,8 @@ model-index:
       type: automatic-speech-recognition
       name: Speech Recognition
     dataset:
-      type: mozilla-foundation/common_voice_7_0
       name: Common Voice ar
+      type: mozilla-foundation/common_voice_7_0
       args: ar
     metrics:
     - type: wer
@@ -29,27 +30,27 @@ model-index:
       value: 15.33
       name: Test CER With 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: ar
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 89.8
+      name: Test WER
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Robust Speech Event - Test Data
       type: speech-recognition-community-v2/eval_data
       args: ar
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 87.46
+      name: Test WER
 ---
 
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