Librarian Bot: Add base_model information to model
Browse filesThis pull request aims to enrich the metadata of your model by adding [`cardiffnlp/twitter-roberta-base-dec2020`](https://huggingface.co/cardiffnlp/twitter-roberta-base-dec2020) 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!
@@ -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-dec2020-tweet-topic-single-2020
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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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args: cardiffnlp/tweet_topic_single
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split: test_2021
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metrics:
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type: f1
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value: 0.8759598346131128
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value: 0.7462751206081605
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value: 0.8759598346131128
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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-dec2020-tweet-topic-single-2020
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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-dec2020
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model-index:
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- name: cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-single-2020
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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: 0.8759598346131128
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name: F1
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- type: f1_macro
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value: 0.7462751206081605
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name: F1 (macro)
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- type: accuracy
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value: 0.8759598346131128
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name: Accuracy
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---
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# cardiffnlp/twitter-roberta-base-dec2020-tweet-topic-single-2020
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