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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 [`cardiffnlp/twitter-roberta-base-dec2021`](https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2021) 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!

Files changed (1) hide show
  1. README.md +17 -13
README.md CHANGED
@@ -4,6 +4,16 @@ datasets:
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  metrics:
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  - f1
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  - accuracy
 
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-all
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  results:
@@ -13,24 +23,18 @@ model-index:
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  dataset:
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  name: cardiffnlp/tweet_topic_single
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  type: cardiffnlp/tweet_topic_single
 
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  args: cardiffnlp/tweet_topic_single
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- split: test_2021
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  metrics:
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- - name: F1
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- type: f1
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  value: 0.8948611931482575
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- - name: F1 (macro)
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- type: f1_macro
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  value: 0.800952410284692
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- - name: Accuracy
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- type: accuracy
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  value: 0.8948611931482575
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- pipeline_tag: text-classification
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- widget:
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- - text: "I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but man does their experience versus the Blue Jackets this year and last help them a lot versus this Islanders team. Another meat grinder upcoming for the good guys"
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- example_title: "Example 1"
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- - text: "Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk. Beautiful weather. Wishing everyone a safe Labor Day weekend in the US."
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- example_title: "Example 2"
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  ---
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  # cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-all
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  metrics:
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  - f1
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  - accuracy
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+ pipeline_tag: text-classification
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+ widget:
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+ - text: I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but
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+ man does their experience versus the Blue Jackets this year and last help them
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+ a lot versus this Islanders team. Another meat grinder upcoming for the good guys
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+ example_title: Example 1
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+ - text: Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk.
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+ Beautiful weather. Wishing everyone a safe Labor Day weekend in the US.
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+ example_title: Example 2
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+ base_model: cardiffnlp/twitter-roberta-base-dec2021
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  model-index:
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  - name: cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-all
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  results:
 
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  dataset:
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  name: cardiffnlp/tweet_topic_single
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  type: cardiffnlp/tweet_topic_single
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+ split: test_2021
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  args: cardiffnlp/tweet_topic_single
 
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  metrics:
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+ - type: f1
 
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  value: 0.8948611931482575
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+ name: F1
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+ - type: f1_macro
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  value: 0.800952410284692
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+ name: F1 (macro)
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+ - type: accuracy
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  value: 0.8948611931482575
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+ name: Accuracy
 
 
 
 
 
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  ---
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  # cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-single-all
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