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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 [`prajjwal1/bert-tiny`](https://huggingface.co/prajjwal1/bert-tiny) 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 +41 -39
README.md CHANGED
@@ -1,49 +1,51 @@
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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:
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- - span-marker
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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: "Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris."
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- example_title: "Amelia Earhart"
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- - text: "Leonardo di ser Piero da Vinci painted the Mona Lisa based on Italian noblewoman Lisa del Giocondo."
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- example_title: "Leonardo da Vinci"
 
 
 
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  model-index:
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- - name: >-
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- SpanMarker w. bert-base-cased on coarsegrained, supervised FewNERD by Tom
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- 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: DFKI-SLT/few-nerd
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- name: coarsegrained, supervised FewNERD
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- config: supervised
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- split: test
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- revision: 2e3e727c63604fbfa2ff4cc5055359c84fe5ef2c
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- metrics:
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- - type: f1
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- value: 0.7081
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- name: F1
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- - type: precision
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- value: 0.7378
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- name: Precision
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- - type: recall
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- value: 0.6808
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- name: Recall
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- datasets:
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- - DFKI-SLT/few-nerd
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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
 
1
  ---
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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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+ - span-marker
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+ - token-classification
9
+ - ner
10
+ - named-entity-recognition
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+ datasets:
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+ - DFKI-SLT/few-nerd
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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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+ - text: Leonardo di ser Piero da Vinci painted the Mona Lisa based on Italian noblewoman
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+ Lisa del Giocondo.
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+ example_title: Leonardo da Vinci
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+ base_model: prajjwal1/bert-tiny
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  model-index:
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+ - name: SpanMarker w. bert-base-cased on coarsegrained, supervised FewNERD by Tom
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+ 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: coarsegrained, supervised FewNERD
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+ type: DFKI-SLT/few-nerd
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+ config: supervised
37
+ split: test
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+ revision: 2e3e727c63604fbfa2ff4cc5055359c84fe5ef2c
39
+ metrics:
40
+ - type: f1
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+ value: 0.7081
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+ name: F1
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+ - type: precision
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+ value: 0.7378
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+ name: Precision
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+ - type: recall
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+ value: 0.6808
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+ name: Recall
 
 
 
 
 
 
 
 
 
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  ---
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  # SpanMarker for Named Entity Recognition