Allow benchmarking tool to handle empty response (#12174)
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -148,7 +148,7 @@ class ChatCompletionSampler(SamplerBase):
|
||||
reasoning_effort=self.reasoning_effort,
|
||||
extra_body=self.extra_body,
|
||||
)
|
||||
return response.choices[0].message.content
|
||||
return response.choices[0].message.content or ""
|
||||
# NOTE: BadRequestError is triggered once for MMMU, please uncomment if you are rerunning MMMU
|
||||
except openai.BadRequestError as e:
|
||||
print("Bad Request Error", e)
|
||||
@@ -161,7 +161,9 @@ class ChatCompletionSampler(SamplerBase):
|
||||
)
|
||||
time.sleep(exception_backoff)
|
||||
trial += 1
|
||||
# unknown error shall throw exception
|
||||
# If all retries are exhausted, return empty string instead of None
|
||||
print(f"All retry attempts exhausted for request. Returning empty response.")
|
||||
return ""
|
||||
|
||||
|
||||
QUERY_TEMPLATE_MULTICHOICE = """
|
||||
@@ -261,7 +263,7 @@ def format_multichoice_question(row):
|
||||
def check_equality(sampler: SamplerBase, expr1: str, expr2: str):
|
||||
prompt = EQUALITY_TEMPLATE % {"expression1": expr1, "expression2": expr2}
|
||||
response = sampler([dict(content=prompt, role="user")])
|
||||
return response.lower().strip() == "yes"
|
||||
return (response or "").lower().strip() == "yes"
|
||||
|
||||
|
||||
def _compute_stat(values: list, stat: str):
|
||||
|
||||
@@ -80,6 +80,7 @@ class HumanEval(Eval):
|
||||
instruction = "Read the following function signature and docstring, and fully implement the function described. Your response should only contain the code for this function.\n"
|
||||
|
||||
def find_code(completion):
|
||||
completion = completion or ""
|
||||
pattern = re.compile(r"```python\n(.*?)```", re.DOTALL)
|
||||
matches = pattern.findall(completion)
|
||||
extracted_answer = matches[0] if len(matches) >= 1 else completion
|
||||
|
||||
@@ -54,6 +54,7 @@ class MathEval(Eval):
|
||||
sampler._pack_message(content=QUERY_TEMPLATE.format(**row), role="user")
|
||||
]
|
||||
response_text = sampler(prompt_messages)
|
||||
response_text = response_text or ""
|
||||
match = re.search(ANSWER_PATTERN, response_text)
|
||||
extracted_answer = match.group(1) if match else None
|
||||
score = float(
|
||||
|
||||
@@ -101,6 +101,7 @@ class MMLUEval(Eval):
|
||||
)
|
||||
]
|
||||
response_text = sampler(prompt_messages)
|
||||
response_text = response_text or ""
|
||||
match = re.search(ANSWER_PATTERN_MULTICHOICE, response_text)
|
||||
extracted_answer = match.group(1) if match else None
|
||||
score = 1.0 if extracted_answer == row["Answer"] else 0.0
|
||||
|
||||
@@ -204,6 +204,7 @@ class MMMUVLMEval(Eval):
|
||||
|
||||
# Sample
|
||||
response_text = sampler(prompt_messages)
|
||||
response_text = response_text or ""
|
||||
|
||||
# Parse and score
|
||||
gold = sample["answer"]
|
||||
|
||||
Reference in New Issue
Block a user