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# SetFit with akhooli/sbert_ar_nli_500k_norm
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This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification.
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The model has been trained using an efficient few-shot learning technique that involves:
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# SetFit with akhooli/sbert_ar_nli_500k_norm
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This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification.
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This SetFit model uses [akhooli/sbert_ar_nli_500k_norm](https://huggingface.co/akhooli/sbert_ar_nli_500k_norm) as the Sentence Transformer embedding model.
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A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
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It was trained on akhooli/ar_reviews_100k_3 dataset (4500 samples, as few shot) with 68.7% accuracy.
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The rest of this model card is auto generated.
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The model has been trained using an efficient few-shot learning technique that involves:
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