Update README.md

README.md

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 **Fanar-Math-R1-GRPO** is a reasoning-optimized language model built on [`QCRI/Fanar-1-9B-Instruct`](https://huggingface.co/QCRI/Fanar-1-9B-Instruct). This version is fine-tuned using **Group Relative Policy Optimization (GRPO)** from the DeepSeekMath framework on the [`AI-MO/NuminaMath-TIR`](https://huggingface.co/datasets/AI-MO/NuminaMath-TIR) dataset. It is designed for step-by-step mathematical problem-solving with structured reasoning in both English and Arabic.
 
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 ## 🚀 Model Highlights
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 math_verify==0.3.3
 torch==2.4.1
 ```
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-## 📊 Training Metrics (Snapshot)
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-| Step | Reward (avg) | Accuracy Reward | Format Reward | Loss  | KL Divergence |
-|------|--------------|-----------------|---------------|-------|---------------|
-| 10   | 0.029        | 0.029           | 0.0           | 0.0   | 0.00024       |
-| 100  | 0.039        | 0.039           | 0.0           | 0.0001| 0.00188       |
-| 200  | 0.033        | 0.033           | 0.0           | 0.0001| 0.00183       |
-| 300  | 0.045        | 0.045           | 0.0           | 0.0001| 0.00127       |
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-*Note: Training was run with a small config for notebook-friendly experimentation.*
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 ## 📚 Output Format