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Use random seed (#13544)

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For default eval llm
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William FH 2023-11-17 16:33:31 -08:00 committed by GitHub
parent 79ed66f870
commit cac849ae86
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2 changed files with 5 additions and 3 deletions
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4
libs/langchain/langchain/evaluation/comparison/eval_chain.py
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@ -160,7 +160,7 @@ class PairwiseStringEvalChain(PairwiseStringEvaluator, LLMEvalChain, LLMChain):
Example:
>>> from langchain.chat_models import ChatOpenAI
>>> from langchain.evaluation.comparison import PairwiseStringEvalChain
>>> llm = ChatOpenAI(temperature=0, model_name="gpt-4")
>>> llm = ChatOpenAI(temperature=0, model_name="gpt-4", model_kwargs={"random_seed": 42})
>>> chain = PairwiseStringEvalChain.from_llm(llm=llm)
>>> result = chain.evaluate_string_pairs(
... input = "What is the chemical formula for water?",
@ -179,7 +179,7 @@ class PairwiseStringEvalChain(PairwiseStringEvaluator, LLMEvalChain, LLMChain):
# . " by explaining what the formula means.\\n[[B]]"
# }
"""
""" # noqa: E501
output_key: str = "results" #: :meta private:
output_parser: BaseOutputParser = Field(

4
libs/langchain/langchain/evaluation/loading.py
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@ -130,7 +130,9 @@ def load_evaluator(
evaluator_cls = _EVALUATOR_MAP[evaluator]
if issubclass(evaluator_cls, LLMEvalChain):
try:
llm = llm or ChatOpenAI(model="gpt-4", temperature=0)
llm = llm or ChatOpenAI(
model="gpt-4", model_kwargs={"seed": 42}, temperature=0
)
except Exception as e:
raise ValueError(
f"Evaluation with the {evaluator_cls} requires a "