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

@@ -1,52 +1,53 @@
 ---
-license: apache-2.0
 language: en
-datasets:
-- Jzuluaga/uwb_atcc
+license: apache-2.0
 tags:
 - audio
 - automatic-speech-recognition
 - en-atc
 - en
 - generated_from_trainer
+datasets:
+- Jzuluaga/uwb_atcc
 metrics:
 - wer
+base_model: facebook/wav2vec2-xls-r-300m
 model-index:
 - name: wav2vec2-xls-r-300m-en-atc-uwb-atcc
   results:
   - task:
-        type: automatic-speech-recognition
-        name: Speech Recognition
+      type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
-        type: Jzuluaga/uwb_atcc
-        name: UWB-ATCC dataset (Air Traffic Control Communications)
-        config: test
-        split: test
+      name: UWB-ATCC dataset (Air Traffic Control Communications)
+      type: Jzuluaga/uwb_atcc
+      config: test
+      split: test
     metrics:
     - type: wer
       value: 18.28
       name: TEST WER
-      verified: False
+      verified: false
     - type: wer
       value: 14.19
       name: TEST WER (+LM)
   - task:
-        type: automatic-speech-recognition
-        name: Speech Recognition
+      type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
-        type: Jzuluaga/atcosim_corpus
-        name: ATCOSIM corpus (Air Traffic Control Communications)
-        config: test
-        split: test
+      name: ATCOSIM corpus (Air Traffic Control Communications)
+      type: Jzuluaga/atcosim_corpus
+      config: test
+      split: test
     metrics:
     - type: wer
       value: 19.21
       name: TEST WER
-      verified: False
+      verified: false
     - type: wer
       value: 15.21
       name: TEST WER (+LM)
-      verified: False
+      verified: false
 ---
 # wav2vec2-xls-r-300m-en-atc-uwb-atcc