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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 [`bert-base-cased`](https://huggingface.co/bert-base-cased) 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 +7 -6
README.md CHANGED
@@ -4,6 +4,7 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - squad
 
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  model-index:
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  - name: bert-finetuned-squad
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  results:
@@ -16,17 +17,17 @@ model-index:
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  config: plain_text
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  split: validation
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  metrics:
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- - name: Loss
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- type: loss
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  value: 1.073493242263794
 
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  verified: true
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- - name: Exact Match
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- type: exact_match
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  value: 80.0853
 
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  verified: true
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- - name: F1
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- type: f1
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  value: 87.606
 
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  verified: true
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  ---
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  - generated_from_trainer
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  datasets:
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  - squad
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+ base_model: bert-base-cased
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  model-index:
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  - name: bert-finetuned-squad
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  results:
 
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  config: plain_text
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  split: validation
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  metrics:
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+ - type: loss
 
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  value: 1.073493242263794
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+ name: Loss
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  verified: true
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+ - type: exact_match
 
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  value: 80.0853
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+ name: Exact Match
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  verified: true
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+ - type: f1
 
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  value: 87.606
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+ name: F1
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  verified: true
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  ---
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