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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-large`](https://huggingface.co/xlm-roberta-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 +32 -34
README.md CHANGED
@@ -1,5 +1,6 @@
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-
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  ---
 
 
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  license: apache-2.0
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  library_name: span-marker
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  tags:
@@ -7,42 +8,39 @@ tags:
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  - token-classification
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  - ner
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  - named-entity-recognition
 
 
 
 
 
 
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  pipeline_tag: token-classification
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  widget:
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- - text: >-
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- Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic
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- to Paris.
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- example_title: Amelia Earhart
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  model-index:
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- - name: >-
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- SpanMarker w. xlm-roberta-large on CoNLL03 by Tom Aarsen
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- results:
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- - task:
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- type: token-classification
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- name: Named Entity Recognition
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- dataset:
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- type: conll2003
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- name: CoNLL03
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- split: test
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- revision: 01ad4ad271976c5258b9ed9b910469a806ff3288
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- metrics:
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- - type: f1
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- value: 0.9307
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- name: F1
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- - type: precision
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- value: 0.9264
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- name: Precision
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- - type: recall
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- value: 0.9350
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- name: Recall
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- datasets:
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- - conll2003
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- language:
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- - en
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- metrics:
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- - f1
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- - recall
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- - precision
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  ---
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  # SpanMarker for Named Entity Recognition
 
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  library_name: span-marker
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  tags:
 
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  - token-classification
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  - ner
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  - named-entity-recognition
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+ datasets:
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+ - conll2003
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+ metrics:
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+ - f1
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+ - recall
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+ - precision
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  pipeline_tag: token-classification
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  widget:
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+ - text: Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic
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+ to Paris.
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+ example_title: Amelia Earhart
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+ base_model: xlm-roberta-large
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  model-index:
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+ - name: SpanMarker w. xlm-roberta-large on CoNLL03 by Tom Aarsen
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+ results:
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+ - task:
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+ type: token-classification
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+ name: Named Entity Recognition
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+ dataset:
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+ name: CoNLL03
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+ type: conll2003
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+ split: test
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+ revision: 01ad4ad271976c5258b9ed9b910469a806ff3288
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+ metrics:
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+ - type: f1
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+ value: 0.9307
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+ name: F1
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+ - type: precision
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+ value: 0.9264
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+ name: Precision
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+ - type: recall
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+ value: 0.935
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+ name: Recall
 
 
 
 
 
 
 
 
 
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  ---
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  # SpanMarker for Named Entity Recognition