Jevhakim
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Typed decisions for Arabic text, MSA and dialects
Decision models for Arabic, MSA and dialects: Kev fine-tuned on typed decisions from 80 public datasets.
Typed decisions for Arabic text, MSA and dialects
Note Try the models in the browser: an Arabic state, typed questions, and a probability per option.
Note The larger model: 0.765 accuracy on the Arabic test split, and 0.727 on the 22 evaluation-only sources.
Note The small model: 0.661 accuracy on the Arabic test split, against 0.503 for stock Kev-0.8B.
Note The training and evaluation data: 442k typed decisions in Arabic from 58 training and 22 evaluation-only public sources.