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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 [`roberta-base`](https://huggingface.co./roberta-base) 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 +9 -10
README.md CHANGED
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  license: mit
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  tags:
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  - generated_from_trainer
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-
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  model-index:
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  - name: roberta-base-finetuned-squad-v1
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  results:
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  - task:
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- type: question-answering # Required. Example: automatic-speech-recognition
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- name: Question Answering # Optional. Example: Speech Recognition
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  dataset:
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- type: squad # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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- name: SQUAD # Required. A pretty name for the dataset. Example: Common Voice (French)
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  metrics:
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- - type: f1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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- value: 92.296 # Required. Example: 20.90
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- - type: exact_match
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- value: 86.045
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-
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  license: mit
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  tags:
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  - generated_from_trainer
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+ base_model: roberta-base
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  model-index:
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  - name: roberta-base-finetuned-squad-v1
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  results:
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  - task:
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+ type: question-answering
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+ name: Question Answering
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  dataset:
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+ name: SQUAD
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+ type: squad
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  metrics:
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+ - type: f1
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+ value: 92.296
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+ - type: exact_match
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+ value: 86.045
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You