eval-harness

arm

se_openai_s_n100_v1

One config on summeval_100, scored one way; its repeats averaged per item.

dataset
summeval_100
scored against
gold/summeval_100 gold
goal
A scorer that agrees with experts on summaries (SummEval)
runs
1
headline
tau 0.411
last run
2026-10-18 11:17

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
tau0.411100higher
cost_usd$0.002124100lower
latency_ms1550.9100lower
parsed1.000100neutral
reasoning_tokens0.000100neutral
rho0.461100higher
rho_coherence0.400100higher
rho_consistency0.503100higher
rho_fluency0.504100higher
rho_relevance0.438100higher
tau_coherence0.340100higher
tau_consistency0.465100higher
tau_fluency0.471100higher
tau_relevance0.369100higher
tie_rate0.369100neutral
tokens_in1960.6100lower
tokens_out145.2100lower
truncated0.000100neutral

02cost and speed

cost per item
$0.002124 · 2,106 tok
speed per item
p50 1,373 · p95 1,834 ms

Per item, over its items: cost as dollars and tokens (a local model is free but still uses tokens), speed as the median and the slow tail (p95). A goal that names this arm weighs them in its decision.

03runs

runmadeitemscosthow
se_openai_s_n100_v1_20261018T111515Z2026-10-18 11:17100$0.212403measured

04config

config se_openai_s_n100_v1 · adapter examples/summeval-judging/adapter.py · credentials are never shown

family
openai
max_tokens
1500
model
eval-gpt-mini
price_tier
small
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.25
usd_per_mtok_out
2.0

05conditions

data.items_sha256
b59999b281b2cbe87c57e4af34cc475c01ba1d531c7b77cb93a136665119c613
deployment.model
eval-gpt-mini
deployment.source
adapter
deployment.upstream
openrouter/openai/gpt-5.4-mini
fingerprint.version
5
library.numpy
1.26.4
library.openai
3.31.0
library.rouge-score
0.1.2
library.torch
2.14.1
library.transformers
4.55.4
machine.cpu_count
32
machine.label
omarchy
machine.platform
Linux/x86_64
machine.python
3.11.16
machine.release
7.2.5-3-omarchy
reference.sha256
7b5e618e23b7f2b222665d83e99006eb0e9a51066e63e2e5ff8c51ae3c696c21
scorer.id
examples/summeval-judging/adapter.py
scorer.sha256
b757ca07e3388b96f6eeefc7033c421ca6b74ae836785f683787dd9edc870473

06rounds