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Librarian Bot: Add base_model information to model

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

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  1. README.md +15 -14
README.md CHANGED
@@ -1,33 +1,34 @@
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  ---
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  language: en
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- datasets:
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- - common_voice
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- metrics:
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- - wer
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- - cer
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  tags:
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  - audio
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  - automatic-speech-recognition
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  - speech
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  - xlsr-fine-tuning-week
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- license: apache-2.0
 
 
 
 
 
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  model-index:
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  - name: Wav2Vec2 English by Jonatas Grosman
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  results:
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- - task:
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- name: Speech Recognition
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  type: automatic-speech-recognition
 
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  dataset:
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  name: Common Voice en
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  type: common_voice
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  args: en
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 21.53
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- - name: Test CER
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- type: cer
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- value: 9.66
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  ---
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  # Wav2vec2-Large-English
 
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  ---
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  language: en
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+ license: apache-2.0
 
 
 
 
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  tags:
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  - audio
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  - automatic-speech-recognition
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  - speech
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  - xlsr-fine-tuning-week
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+ datasets:
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+ - common_voice
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+ metrics:
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+ - wer
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+ - cer
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+ base_model: facebook/wav2vec2-large
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  model-index:
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  - name: Wav2Vec2 English by Jonatas Grosman
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  results:
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+ - task:
 
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  type: automatic-speech-recognition
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+ name: Speech Recognition
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  dataset:
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  name: Common Voice en
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  type: common_voice
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  args: en
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  metrics:
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+ - type: wer
27
+ value: 21.53
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+ name: Test WER
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+ - type: cer
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+ value: 9.66
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+ name: Test CER
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  ---
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  # Wav2vec2-Large-English