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deberta-v3-large-tweet-fid-TRC
auro736/deberta-v3-large-tweet-fid-TRC
deberta-v3-large-tweet-fid-TRC is a text classification model from auro736. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This is a DeBERTa-large model trained on the Tweet-FID dataset ("TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022 ) which is a collection of Twitter to detect inci…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 30, 2023
- SHA
- 04842509
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Model card
From the Hugging Face model README
DeBERTa-large-tweet-fid-TRC
This is a DeBERTa-large model trained on the Tweet-FID dataset ("TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks", Ruofan Hu et al, 2022 ) which is a collection of Twitter to detect incidents of foodborne illnesses.
The model is enriched with a binary classification head to perform the custom task called Text Relevance Classification (TRC). The objective is to determine whether a given text is related to a food risk, identified as class_1, or not, class_0.
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Oct 23, 2023
- Updated
- Oct 30, 2023