Update README.md

README.md

@@ -23,4 +23,4 @@ stage uses LVLMs to generate rich and accurate captions. Subsequently, the secon
 caption quality by using a vision-only LLM to perform the QA task. We also created a specific QA
 curation pipeline to ensure the quality of the questions and answers used for the second stage.
 
-By employing our CapRL training framework, initializing with the Qwen2.5-VL-3B model, and using a carefully filtered 75K QA dataset as the training set, we obtained a highly capable captioner, CapRL-3B.
+By employing CapRL training framework, initializing with the Qwen2.5-VL-3B model, and using a carefully filtered 75K QA dataset as the training set, we obtained a highly capable captioner, CapRL-3B.