Model overview
Fine-tuned Qwen/Qwen3-ASR-1.7B for **UAE Emirati Arabic** dialect speech recognition. - Matches informal Emirati dialect style (شي vs شيء, الاماكن vs الأماكن) - Removes spurious punctuation that the base model adds - Better handling of dialect-specific words and expressions - **Base model**: Qwen/Qwen3-ASR-1.7B (2B params, audio encoder + 1.7B LLM decoder) - **Training data**: ~22,500 UAE Emirati Arabic dialect samples from vadimbelsky/UAE_Arabic_English_Bilingual_Dataset_40k - **Strategy**: Audio encoder frozen, only LLM decoder fine-tuned (84.4% of params) - **Precision**: bfloat16 - **Epochs**: 3 - **Effective batch size**: 32 (batch 2 × gradient accumulation 16) - **Learning rate**: 2e-5 with linear schedule - **Gradient checkpointing**: enabled - **Text normalization**: Diacritics removed, alef/teh marbuta normalized, punctuation stripped
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
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Source prices & cost analysis
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Estimate monthly base token costs
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Public benchmarks & run configuration
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Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。