Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`roberta-large`](https://huggingface.co/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). Your input is invaluable to us!
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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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- recall
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- f1
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- accuracy
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widget:
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- text:
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model-index:
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- name: roberta-large-finetuned-ner
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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: surrey-nlp/PLOD-unfiltered
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type: token-classification
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args: PLODunfiltered
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metrics:
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type: precision
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value: 0.9662545190541101
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value: 0.9627013733169376
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value: 0.9644746737300262
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value: 0.9607518572002093
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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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- recall
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- f1
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- accuracy
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model_creators:
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- Leonardo Zilio, Hadeel Saadany, Prashant Sharma, Diptesh Kanojia, Constantin Orasan
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widget:
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- text: Light dissolved inorganic carbon (DIC) resulting from the oxidation of hydrocarbons.
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- text: RAFs are plotted for a selection of neurons in the dorsal zone (DZ) of auditory
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cortex in Figure 1.
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- text: Images were acquired using a GE 3.0T MRI scanner with an upgrade for echo-planar
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imaging (EPI).
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base_model: roberta-large
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model-index:
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- name: roberta-large-finetuned-ner
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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: surrey-nlp/PLOD-unfiltered
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type: token-classification
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args: PLODunfiltered
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metrics:
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- type: precision
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value: 0.9662545190541101
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name: Precision
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- type: recall
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value: 0.9627013733169376
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name: Recall
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- type: f1
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value: 0.9644746737300262
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name: F1
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- type: accuracy
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value: 0.9607518572002093
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name: Accuracy
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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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