CAMeL-Lab / text-classification Open weights updated 5 years ago

bert-base-arabic-camelbert-da-sentiment

CAMeLBERT-DA SA Model is a Sentiment Analysis (SA) model that was built by fine-tuning the CAMeLBERT Dialectal Arabic (DA) model. For the fine-tuning, we used the ASTD, ArSAS, and SemEval datasets. Our fine-tuning procedure and the hyperparameters we used can be found in our paper "The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models." Our fine-tuning code can be found here.

Params
—
Context
512
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Commercial use: allowed apache-2.0 Not gated 1 languages View on Hugging Face ↗

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Specifications

Architecture
BertForSequenceClassification
Context length
512
Vocabulary
30,000
Layers / heads
12 / 12
Licence
apache-2.0
First seen on the Hub
2022-03-02
Training datasets
undisclosed
Added to our catalog
2026-07-28
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