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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 [`xlm-roberta-base`](https://huggingface.co/xlm-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). Your input is invaluable to us!

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  1. README.md +8 -7
README.md CHANGED
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  ---
 
 
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  license: mit
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  tags:
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  - generated_from_trainer
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  - nlu
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  - intent-classification
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  - text-classification
 
 
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  metrics:
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  - accuracy
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  - f1
 
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  model-index:
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  - name: xlm-r-base-amazon-massive-intent-label_smoothing
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  results:
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  - task:
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- name: intent-classification
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  type: intent-classification
 
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  dataset:
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  name: MASSIVE
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  type: AmazonScience/massive
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  split: test
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  metrics:
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- - name: F1
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- type: f1
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  value: 0.8879
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- datasets:
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- - AmazonScience/massive
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- language:
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- - en
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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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  ---
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+ language:
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+ - en
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  license: mit
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  tags:
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  - generated_from_trainer
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  - nlu
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  - intent-classification
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  - text-classification
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+ datasets:
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+ - AmazonScience/massive
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  metrics:
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  - accuracy
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  - f1
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+ base_model: xlm-roberta-base
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  model-index:
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  - name: xlm-r-base-amazon-massive-intent-label_smoothing
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  results:
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  - task:
 
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  type: intent-classification
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+ name: intent-classification
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  dataset:
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  name: MASSIVE
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  type: AmazonScience/massive
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  split: test
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  metrics:
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+ - type: f1
 
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  value: 0.8879
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+ name: F1
 
 
 
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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