8000 Comparative evaluation slow in basic_demo.ipynb · Issue #9 · PAIR-code/llm-comparator · GitHub
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simofildi opened this issue May 13, 2025 · 0 comments
Open

Comparative evaluation slow in basic_demo.ipynb #9

simofildi opened this issue May 13, 2025 · 0 comments

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@simofildi
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Hi,
there is an issue while executing the comparative evaluation:

# The comparison.run() function is the primary interface for running a
# Comparative Evaluation. It take your prepared inputs, a judge, a buletizer,
# and a clusterer and returns a Python dictioary in the required format for use
# in the LLM Comparator web app. You can inspect this dictionary in Python if
# you like, but it's more useful once written to a file.
#
# The example below is basic, but you can use the judge_opts=, bulletizer_opts=,
# and/or clusterer_opts= parameters (all of which are optional dictionaries that
# are converted to keyword options) to further customize the behaviors. See the
# Docsrtrings for more.
comparison_result = comparison.run(
    llm_judge_inputs,
    judge,
    bulletizer,
    clusterer,
)

INFO:absl:Created 18 inputs for LLM judge.
 11%
 2/18 [02:06<16:54, 63.41s/it]
INFO:absl:Waiting 2s to retry...
INFO:absl:Waiting 4s to retry...
INFO:absl:Waiting 8s to retry...
INFO:absl:Waiting 16s to retry...
INFO:absl:Waiting 32s to retry...
INFO:absl:Waiting 2s to retry...
INFO:absl:Waiting 4s to retry...
INFO:absl:Waiting 8s to retry...
INFO:absl:Waiting 16s to retry...
INFO:absl:Waiting 32s to retry...
INFO:absl:Waiting 2s to retry...
INFO:absl:Waiting 4s to retry...
INFO:absl:Waiting 8s to retry...
INFO:absl:Waiting 16s to retry...

in the example video this process is extremely fast, but for me it is impossible to fully execute even with the demo json provided
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