Add model card

README.md

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+---
+language:
+- en
+- zh
+tags:
+- game24
+- qwen2.5
+- sft
+- grpo
+- lora
+- reasoning
+library_name: transformers
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+---
+
+# game24-rl
+
+This repository contains two checkpoints from the `game24-rl` course project:
+
+- `sft-final/`: full fine-tuned `Qwen/Qwen2.5-1.5B-Instruct` checkpoint for 24-game reasoning.
+- `grpo-lora-final/`: LoRA adapter trained from the SFT checkpoint with GRPO.
+
+Code and experiment documentation:
+https://github.com/ElysiaFollower/game24-rl
+
+## Training Route
+
+`Qwen2.5-1.5B-Instruct -> full SFT final -> GRPO LoRA adapter -> decoding/eval`
+
+## Notes
+
+The project focuses on standard 24-point game solving. The model is expected to produce reasoning and a final answer expression that can be checked by the repository verifier.
+
+The GRPO artifact is a PEFT LoRA adapter, not a standalone full model. Load the SFT checkpoint first, then apply the adapter.
+
+## Reported Repo-Local Results
+
+Under the repo-local train/validation/test split documented in the GitHub repository:
+
+- Base model full-data direct eval: `16/1362 = 1.17%`
+- SFT final, validation, 1024 token budget: `110/136 = 80.88%`
+- GRPO LoRA, validation, 1024 token budget: `116/136 = 85.29%`
+- SFT final, validation, 4096 token budget: `123/136 = 90.44%`
+- SFT final, test, 4096 token budget: `128/137 = 93.43%`
+- GRPO LoRA, validation, 4096 token budget: `126/136 = 92.65%`
+- GRPO LoRA, test, 4096 token budget: `129/137 = 94.16%`
+
+See the GitHub handoff and experiment docs for split details, verifier details, decoding settings, and caveats.