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@@ -8,4 +8,4 @@ base_model:
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  - Qwen/Qwen2.5-7B
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  pipeline_tag: reinforcement-learning
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- 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 our custom model-based verifier, [R1-Distill-Verifier-1.5B](https://huggingface.co/hkust-nlp/R1-Distill-Verifier-1.5B).
 
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  pipeline_tag: reinforcement-learning
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+ 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 our custom model-based verifier, [R1-Distill-Verifier-1.5B](https://huggingface.co/hkust-nlp/R1-Distill-Verifier-1.5B).