eval-harness

arm

se_unieval_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 0.348
last run
2026-10-18 22:11

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
tau0.348100higher
cost_usd$0.000000100lower
latency_ms41676.1100lower
parsed1.000100neutral
rho0.439100higher
rho_coherence0.552100higher
rho_consistency0.408100higher
rho_fluency0.375100higher
rho_relevance0.420100higher
tau_coherence0.424100higher
tau_consistency0.338100higher
tau_fluency0.308100higher
tau_relevance0.321100higher
tie_rate0.005100neutral

02cost and speed

cost per item
$0.000000
speed per item
p50 42,677 · p95 60,322 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_unieval_n100_v1_20261018T210147Z2026-10-18 22:11100$0.000000measured

04config

config se_unieval_n100_v1 · adapter examples/summeval-judging/adapter.py · credentials are never shown

batch_size
8
family
unieval
inputs
ours
model
MingZhong/unieval-sum
price_tier
free
provider
unieval
revision
ed8da5a8aa01b19d49a5f8738d382ced54b73ad0

05conditions

data.items_sha256
b59999b281b2cbe87c57e4af34cc475c01ba1d531c7b77cb93a136665119c613
deployment.build
ed8da5a8aa01b19d49a5f8738d382ced54b73ad0
deployment.device
cpu
deployment.model
MingZhong/unieval-sum
deployment.quantization
fp32
deployment.source
adapter
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
a962a8424980336b9c979c4d9d198f65ab160130cf0b92056cdfcb2addbb7004

06rounds