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TRoberta_Irony
Amala3/TRoberta_Irony
TRoberta_Irony is a text classification model from Amala3. Use it when you need a label for a piece of text. It is set up for transformers.
WORK IN PROGRESS: WILL BE UPDATED WITH MORE INFORMATION
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Feb 23, 2024
- Updated
- Mar 21, 2024
- SHA
- feb33203
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Model card
From the Hugging Face model README
WORK IN PROGRESS: WILL BE UPDATED WITH MORE INFORMATION
This model based on Twitter-Roberta from Cardiff NLP has been finetuned on the Semeval 2018 Task 3 dataset for Irony Detection in English. However, we do not use the original labels, as we have provided more finegrained labels and annotated the tweets without irony-related hashtags. These specific models are based on a new paper accepted at the Joint LREC-COLING main conference. This model was trained on 4,592 samples (not the standard benchmark dataset) to be evaluated on 200 tweets labelled by three different annotators.
A model with the same parameters was also evaluated on the complete dataset through 10-fold CV. TODO: add the scores once the paper is published.
REFERENCE TO THE PAPER WILL BE INCLUDED ONCE IT IS PUBLISHED.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Feb 23, 2024
- Updated
- Mar 21, 2024