bert-base-arabic-camelbert-mix-sentiment

Model overview

bert-base-arabic-camelbert-mix-sentiment is published by CAMeL-Lab as a text-classification model. The captured configuration identifies BertForSequenceClassification with model type bert, and card data records Apache-2.0 licensing. According to the model card, it is a sentiment-analysis model built by fine-tuning the CAMeLBERT Mix model.

Recorded capabilities

Use cases in the source record

• Arabic sentiment-analysis workflows using the publisher-described fine-tune of CAMeLBERT Mix.
• Text-classification experiments with Transformers support building on ASTD, ArSAS, and SemEval fine-tuning data.

Limitations and unknowns

• No parameter count was extracted from this record.
• No evaluation results, context-window value, or hardware detail were extracted.
• Provider state is historical snapshot data and should be refreshed before being presented as current.
• Training claims come from the publisher model card and cited paper, and were not independently verified by Ethen.

Source and provenance

Source: CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment

Captured: Unknown. Processed: 2026-09-07T19:34:29.280944+00:00.

CAMeLBERT Mix SA Model Model description CAMeLBERT Mix SA Model is a Sentiment Analysis (SA) model that was built by fine-tuning the CAMeLBERT Mix 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 . Intended uses You can use the CAMeLBERT Mix SA model directly as part of our CAMeL Tools SA component ( recommended ) or as part of the transformers pipeline. How to use To use the model with the CAMeL…