Update README.md

README.md

@@ -11,6 +11,6 @@ library_name: transformers
 Here, we introduce a small-scale video reasoning model TinyLLaVA-Video-R1, based on the traceably trained model [TinyLLaVA-Video](https://github.com/ZhangXJ199/TinyLLaVA-Video). After reinforcement learning on general Video-QA datasets, the model not only significantly improves its reasoning and thinking abilities, but also exhibits the emergent characteristic of “aha moments”.
 
 ### Result
-|                Model (HF Path)                |   Video-MME   |   MVBench   |    MLVU    |    MMVU    | 
+|                Model (HF Path)                |   Video-MME(wo sub)   |   MVBench   |    MLVU    |    MMVU(mc)    | 
 | :----------------------------------------: | ------------- | ------- | -------------- | ---------- | 
 | [Zhang199/TinyLLaVA-Video-R1](https://huggingface.co/Zhang199/TinyLLaVA-Video-R1)    |   46.6   |   49.5   |   52.4   |   46.9   |