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---
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) |