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35
configs/RMaxTS.py
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35
configs/RMaxTS.py
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from prover.utils import AttrDict
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from prover.algorithms import RMaxTS
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# dataset
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data_path = 'datasets/minif2f.jsonl'
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data_split = 'test'
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data_repeat = 16 # run 16 * 6400
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# verifier
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lean_max_concurrent_requests = 64
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lean_memory_limit = 10
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lean_timeout = 300
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# model
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batch_size = 512
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model_path = 'deepseek-ai/DeepSeek-Prover-V1.5-RL'
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model_args = AttrDict(
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mode='cot', # `cot` or `non-cot`
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temperature=1,
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max_tokens=2048,
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top_p=0.95,
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)
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# algorithm
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n_search_procs = 256
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sampler = dict(
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algorithm=RMaxTS,
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gamma=0.99,
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sample_num=6400,
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concurrent_num=32,
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tactic_state_comment=True,
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ckpt_interval=128,
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log_interval=32,
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)
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