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xlm-roberta-base-emolit-multilingual
lrei/xlm-roberta-base-emolit-multilingual
xlm-roberta-base-emolit-multilingual is a text classification model from lrei. 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.
Similar to https://huggingface.co/lrei/roberta-base-emolit
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023
- SHA
- 60ae6aa2
Try a prompt
Model card
From the Hugging Face model README
Similar to https://huggingface.co/lrei/roberta-base-emolit
But trained on https://zenodo.org/record/8420877 (hard labels) which includes the original English text plus automatically translated text: Dutch, French, Italian.
Code used available at: https://github.com/lrei/emolit_train
Reported Results (macro-averaged F1)
| Language | F1 |
|---|---|
| All | 0.55 |
| Dutch | 0.53 |
| English | 0.57 |
| French: | 0.54 |
| Italian | 0.54 |
Cite
Based on
@Article{app13137502,
AUTHOR = {Rei, Luis and Mladenić, Dunja},
TITLE = {Detecting Fine-Grained Emotions in Literature},
JOURNAL = {Applied Sciences},
VOLUME = {13},
YEAR = {2023},
NUMBER = {13},
ARTICLE-NUMBER = {7502},
URL = {https://www.mdpi.com/2076-3417/13/13/7502},
ISSN = {2076-3417},
DOI = {10.3390/app13137502}
}
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- en, nl, fr, it
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023