This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/LaBSE as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
- Model Type: SetFit
- Sentence Transformer body: sentence-transformers/LaBSE
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 256 tokens
- Number of Classes: 4 classes
- Training Dataset: SumArabic
- Language: Arabic