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api refactor
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parent
97dcd5704c
commit
51c20f9c29
8 changed files with 64 additions and 59 deletions
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@ -76,13 +76,13 @@ class Testeval:
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]
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response = await eval_impl.run_eval(
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eval_task_def=EvalTaskDef(
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task=EvalTaskDef(
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# NOTE: this is needed to make the router work for all app evals
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identifier="meta-reference::app_eval",
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dataset_id="test_dataset_for_eval",
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scoring_functions=scoring_functions,
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),
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eval_task_config=AppEvalTaskConfig(
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task_config=AppEvalTaskConfig(
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eval_candidate=ModelCandidate(
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model="Llama3.2-3B-Instruct",
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sampling_params=SamplingParams(),
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@ -44,10 +44,10 @@ class TestScoring:
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)
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assert len(rows.rows) == 3
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scoring_functions = [
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"meta-reference::llm_as_judge_8b_correctness",
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"meta-reference::equality",
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]
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scoring_functions = {
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"meta-reference::llm_as_judge_8b_correctness": None,
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"meta-reference::equality": None,
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}
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response = await scoring_impl.score(
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input_rows=rows.rows,
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scoring_functions=scoring_functions,
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@ -83,7 +83,7 @@ class TestScoring:
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)
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assert len(rows.rows) == 3
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params = {
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scoring_functions = {
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"meta-reference::llm_as_judge_8b_correctness": LLMAsJudgeScoringFnParams(
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judge_model="Llama3.1-405B-Instruct",
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prompt_template="Output a number response in the following format: Score: <number>, where <number> is the number between 0 and 9.",
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@ -91,13 +91,9 @@ class TestScoring:
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)
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}
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scoring_functions = [
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"meta-reference::llm_as_judge_8b_correctness",
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]
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response = await scoring_impl.score(
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input_rows=rows.rows,
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scoring_functions=scoring_functions,
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scoring_params=params,
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)
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assert len(response.results) == len(scoring_functions)
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for x in scoring_functions:
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@ -108,7 +104,6 @@ class TestScoring:
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response = await scoring_impl.score_batch(
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dataset_id="test_dataset",
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scoring_functions=scoring_functions,
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scoring_params=params,
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)
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assert len(response.results) == len(scoring_functions)
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for x in scoring_functions:
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