eval-harness

arm

se_rouge2_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 0.158
last run
2026-10-15 13:04

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
tau0.158100higher
cost_usd$0.000000100lower
latency_ms180.9100lower
parsed1.000100neutral
rho0.201100higher
rho_coherence0.183100higher
rho_consistency0.178100higher
rho_fluency0.154100higher
rho_relevance0.290100higher
tau_coherence0.138100higher
tau_consistency0.148100higher
tau_fluency0.124100higher
tau_relevance0.220100higher
tie_rate0.012100neutral

02cost and speed

cost per item
$0.000000
speed per item
p50 174 · p95 239 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_rouge2_n100_v1_20261015T130433Z2026-10-15 13:04100$0.000000measured

04config

config se_rouge2_n100_v1 · adapter examples/summeval-judging/adapter.py · credentials are never shown

family
rouge
metric
rouge2
price_tier
free
provider
rouge

05conditions

data.items_sha256
b59999b281b2cbe87c57e4af34cc475c01ba1d531c7b77cb93a136665119c613
deployment.model
rouge2
deployment.source
params
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
4
machine.platform
Linux/x86_64
machine.processor
x86_64
machine.python
3.11.15
machine.release
6.18.44-fc-v114
reference.sha256
7b5e618e23b7f2b222665d83e99006eb0e9a51066e63e2e5ff8c51ae3c696c21
scorer.id
examples/summeval-judging/adapter.py
scorer.sha256
b7d5e2e5ce84ea0fe683e3488ba09fbcc416464d2b8f5abc47956930bf0262eb

06rounds