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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 the `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. 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!

Files changed (1) hide show
  1. README.md +24 -24
README.md CHANGED
@@ -5,49 +5,49 @@ metrics:
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  - f1
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  - precision
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  - recall
 
 
 
 
 
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  model-index:
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  - name: tner/roberta-large-ontonotes5
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  results:
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  - task:
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- name: Token Classification
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  type: token-classification
 
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  dataset:
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  name: tner/ontonotes5
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  type: tner/ontonotes5
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  args: tner/ontonotes5
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  metrics:
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- - name: F1
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- type: f1
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  value: 0.908632361399938
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- - name: Precision
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- type: precision
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  value: 0.905148095909732
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- - name: Recall
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- type: recall
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  value: 0.9121435551212579
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- - name: F1 (macro)
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- type: f1_macro
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  value: 0.8265477704565624
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- - name: Precision (macro)
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- type: precision_macro
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  value: 0.8170668848546687
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- - name: Recall (macro)
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- type: recall_macro
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  value: 0.8387672780349001
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- - name: F1 (entity span)
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- type: f1_entity_span
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  value: 0.9284544931640193
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- - name: Precision (entity span)
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- type: precision_entity_span
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  value: 0.9248942172073342
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- - name: Recall (entity span)
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- type: recall_entity_span
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  value: 0.9320422848005685
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-
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- pipeline_tag: token-classification
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- widget:
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- - text: "Jacob Collier is a Grammy awarded artist from England."
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- example_title: "NER Example 1"
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  ---
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  # tner/roberta-large-ontonotes5
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  - f1
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  - precision
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  - recall
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+ pipeline_tag: token-classification
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+ widget:
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+ - text: Jacob Collier is a Grammy awarded artist from England.
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+ example_title: NER Example 1
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+ base_model: roberta-large
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  model-index:
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  - name: tner/roberta-large-ontonotes5
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  results:
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  - task:
 
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  type: token-classification
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+ name: Token Classification
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  dataset:
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  name: tner/ontonotes5
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  type: tner/ontonotes5
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  args: tner/ontonotes5
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  metrics:
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+ - type: f1
 
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  value: 0.908632361399938
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+ name: F1
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+ - type: precision
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  value: 0.905148095909732
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+ name: Precision
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+ - type: recall
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  value: 0.9121435551212579
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+ name: Recall
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+ - type: f1_macro
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  value: 0.8265477704565624
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+ name: F1 (macro)
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+ - type: precision_macro
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  value: 0.8170668848546687
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+ name: Precision (macro)
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+ - type: recall_macro
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  value: 0.8387672780349001
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+ name: Recall (macro)
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+ - type: f1_entity_span
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  value: 0.9284544931640193
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+ name: F1 (entity span)
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+ - type: precision_entity_span
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  value: 0.9248942172073342
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+ name: Precision (entity span)
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+ - type: recall_entity_span
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  value: 0.9320422848005685
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+ name: Recall (entity span)
 
 
 
 
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  ---
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  # tner/roberta-large-ontonotes5
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