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README.md

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 **GanitLLM-4B_SFT** is a Bengali mathematical reasoning model trained with Supervised Fine-Tuning on the GANIT dataset. This model serves as the foundation for further RL training (GRPO/CGRPO). Key improvements over the base Qwen3-4B model:
 
-- **+4.8 accuracy** on Bn-MGSM benchmark (69.2 → 74.0)
-- **+4.1 accuracy** on Bn-MSVAMP benchmark (70.5 → 74.6)
+- **+4.80 accuracy** on Bn-MGSM benchmark (69.20 → 74.00)
+- **+4.10 accuracy** on Bn-MSVAMP benchmark (70.50 → 74.60)
 - **86.65% Bengali reasoning** (vs 14.79% for base model)
-- **80.5% fewer tokens** in generated solutions (943 → 184 words)
+- **80.5% fewer words** in generated solutions (943 → 184 words)
 
 > **Note**: This is the SFT-only checkpoint. For best results, use the RL-enhanced versions: [GanitLLM-4B_SFT_CGRPO](https://huggingface.co/dipta007/GanitLLM-4B_SFT_CGRPO) or [GanitLLM-4B_SFT_GRPO](https://huggingface.co/dipta007/GanitLLM-4B_SFT_GRPO).