DeepSeek-Prover-V1.5/configs/RMaxTS.py

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2024-08-16 03:33:21 +00:00
from prover.utils import AttrDict
from prover.algorithms import RMaxTS
# dataset
data_path = 'datasets/minif2f.jsonl'
data_split = 'test'
data_repeat = 16 # run 16 * 6400
# verifier
lean_max_concurrent_requests = 64
lean_memory_limit = 10
lean_timeout = 300
# model
batch_size = 512
model_path = 'deepseek-ai/DeepSeek-Prover-V1.5-RL'
model_args = AttrDict(
mode='cot', # `cot` or `non-cot`
temperature=1,
max_tokens=2048,
top_p=0.95,
)
# algorithm
n_search_procs = 256
sampler = dict(
algorithm=RMaxTS,
gamma=0.99,
sample_num=6400,
concurrent_num=32,
tactic_state_comment=True,
ckpt_interval=128,
log_interval=32,
)