Update README.md

README.md

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 ## Model Description
 Mobile-ReasoningLLM-v0-1.5B is a fine-tuned derivative of [Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B), optimized for reasoning tasks in mathematics generation. It supports up to 48K output tokens for math problems. This model is designed for both commercial and non-commercial research use.
-This repository contains the evluation code of Mobile-ReasoningLLM-v0.1(Mobile-Flash-ReasoningLLM-v0-1.5B) which start to explore experience learning instead of sparse reward learning in the reinforcement learning after R1-Like reinforcement learning and it's variants including curriculumn learning. 
-In this work, I start to explore the rl training algorithm after pre-training, r1-reinforcement learning, r1-curriculumn reinforcement learning to reduce the difficulity of sparse reward in the RL-Post training stage.
-It takes 6 days to update Mobile-ReasoningLLM-v0 to Mobile-Flash-ReasoningLLM-v0-1.5B on 8 NVIDIA A800 80G GPUs.
+This repository contains the evluation code of Mobile-ReasoningLLM-v0.1(Mobile-Flash-ReasoningLLM-v0-1.5B) which **starts to explore experience learning** besides of **sparse reward** learning in the reinforcement learning after R1-Like reinforcement learning and it's variants including curriculumn learning. 
+In this work, I start to explore the rl training algorithm after pre-training, r1-reinforcement learning, r1-curriculumn reinforcement learning to reduce the difficulty of sparse reward in the RL-Post training stage.
+It takes about 4 days to update Mobile-ReasoningLLM-v0 to Mobile-Flash-ReasoningLLM-v0-1.5B on 8 NVIDIA A800 80G GPUs.
 
 - **Architecture**: Dense decoder-only Transformer
 - **Base Model**: Qwen2.5-1.5B