| base_model: | |
| - Qwen/Qwen2.5-7B | |
| datasets: | |
| - agentica-org/DeepScaleR-Preview-Dataset | |
| language: | |
| - en | |
| license: apache-2.0 | |
| pipeline_tag: question-answering | |
| library_name: transformers | |
| This model checkpoint is associated with the paper "[Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning](https://huggingface.co/papers/2505.22203)." The model is reinforcement-learning trained from the Qwen-2.5-7B base model on the DeepScaleR dataset. Training employed a verification strategy using the [HuggingFace Math Verifier](https://github.com/huggingface/Math-Verify). | |
| This model is compatible with the `transformers` library. | |
| Code: [https://github.com/hkust-nlp/simpleRL-reason](https://github.com/hkust-nlp/simpleRL-reason) |