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MohamedGalal/arabert-sarcasm-detector
arabert-sarcasm-detector is a text classification model from MohamedGalal. Use it when you need a label for a piece of text. It is set up for adapter-transformers. The card lists the license as afl-3.0.
probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned aubmindlab/bert-base-arabertv02-twitter that was fine-tuned on the ArSarcasT dataset. It achieves the following results on the evaluation set:
| Eval Datatset | Accuracy | F1 | Precession | Recall |
|---|---|---|---|---|
| ArSarcasT | 0.839 | 0.730 | 0.743 | 0.761 |
| iSarcasmEVAL | 0.897 | 0.633 | 0.646 | 0.620 |
| AraSarcasmV2 | 0.769 | 0.553 | 0.587 | 0.523 |
| IDAT | 0.807 | 0.807 | 0.775 | 0.842 |
Fine-tuned aubmindlab/bert-base-arabertv02-twitter on Sarcastic tweets dataset for sarcasm detection text classification.
More information needed
Fine-tuning, 3 epochs.
The following hyperparameters were used during training:
If you use this fine-tuned model based on the original ARABERT model, please cite the following paper:
Galal, M. A., Yousef, A. H., Zayed, H. H., & Medhat, W. (2024). Arabic sarcasm detection: An enhanced fine-tuned language model approach. Ain Shams Engineering Journal, 15(6), 102736. https://doi.org/10.1016/j.asej.2024.102736