Update README.md

README.md

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 base_model:
 - Qwen/Qwen2.5-Math-7B-PRM800K
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+# **PRM-Math-7B-Reasoner - Process Reward Model**
+
+`PRM's : To identify and mitigate intermediate errors in the reasoning processes`
+
 PRM-Math-7B-Reasoner is a fully reproducible model, fine-tuned on the Qwen2.5-Math-7B-PRM800K dataset, designed to evaluate its ability to identify erroneous steps in mathematical reasoning. The model is used for reward computation, where after each step, a special token "<extra_0>" is inserted. For reward calculation, the probability score of this token being classified as positive is extracted, resulting in a reward value between 0 and 1. It is primarily utilized for solution reformatting in mathematically driven tasks and as a Long Context Full Reasoner.