| license: apache-2.0 | |
| datasets: | |
| - agentica-org/DeepScaleR-Preview-Dataset | |
| language: | |
| - en | |
| base_model: | |
| - Qwen/Qwen2.5-7B | |
| pipeline_tag: reinforcement-learning | |
| This is the model checkpoint associated with the paper "Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning." The model is RL trained from the Qwen-2.5-7B base on the DeepScaleR dataset. Training employed a hybrid verification strategy combining the Huggingface Math Verifier and the opensource [general-verifier](https://huggingface.co/TIGER-Lab/general-verifier). |