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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-Verifier-1.5B.
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license: apache-2.0
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datasets:
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- agentica-org/DeepScaleR-Preview-Dataset
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language:
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- en
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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-Verifier-1.5B.
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