Update README.md

README.md

@@ -18,12 +18,13 @@ datasets:
 library_name: transformers
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 # ReasoningLlama-Math-1B-IT
-## Model Description
+## Model Description:
 This is a fine-tuned version of [unsloth/Llama-3.2-1B](https://huggingface.co/unsloth/Llama-3.2-1B) on the [unsloth/OpenMathReasoning-mini](https://huggingface.co/datasets/unsloth/OpenMathReasoning-mini) dataset which is a small version of the [nvidia/OpenMathReasoning](https://huggingface.co/datasets/nvidia/OpenMathReasoning) dataset which was used to win the [AIMO](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/leaderboard) (AI Mathematical Olympiad) challenge!
 - **recommended settings for inference:** min_p = 0.1 and temperature = 1.5 , Read this [Tweet](https://x.com/menhguin/status/1826132708508213629) to understand why.
 - **License :** apache-2.0
 - **Finetuned from model :** unsloth/Llama-3.2-1B
-
+## Benchmarks:
+We evaluate ReasoningLlama-Math-1B-IT on GSM8K using the standard lm-eval 5-shot exact-match protocol. Under identical decoding and extraction settings, the model achieves:
 | Model                         | Params | GSM8K (5-shot, EM) |
 | ----------------------------- | ------ | ------------------ |
 | **ReasoningLlama-Math-1B-IT** | 1B     | **30.7%**          |