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README.md

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 # Visual Language Model Based on Qwen and CLIP
 
-This is a visual language multimodal model built upon the Qwen series language models and the CLIP visual encoder. It has been trained for 10 epochs on the LLaVA pre-training dataset and nearly 800K examples (150K instruction fine-tuning and 665K instruction mixed fine-tuning). However, due to data size is larger than model,  so it can only perform sample question-answering tasks on images and currently supports only English question answering.
+This is a visual language multimodal model built upon the Qwen series language models and the CLIP visual encoder. It has been trained for 10 epochs on the LLaVA pre-training dataset and nearly 800K examples (150K instruction fine-tuning and 665K instruction mixed fine-tuning). However, due to data size is larger for model,  so it can only perform simple question-answering tasks on images and currently supports only English question answering.
 
 ## Training Details