eval-harness

arm

cnn_gemma_l_n200_v1

One config on cnn_dailymail_200, scored one way; its repeats averaged per item.

dataset
cnn_dailymail_200
scored against
gold/cnn_dailymail_200 gold
goal
Short news summaries (CNN)
runs
1
headline
coverage 0.320
last run
2026-09-26 07:32

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
coverage0.320200higher
compression0.108200neutral
concision0.274200higher
cost_usd$0.000119200lower
fmt_bullets0.000200neutral
fmt_label0.000200neutral
fmt_markdown0.000200neutral
fmt_narration0.000200neutral
fmt_overlong0.000200neutral
fmt_paragraphs0.000200neutral
grounding0.345200higher
latency_ms2591.1200lower
length_vs_reference1.309200neutral
reasoning_tokens0.000200neutral
reference_words34.7200neutral
rouge10.351200higher
rougeLsum0.309200higher
summary_words42.5200neutral
tokens_in755.1200lower
tokens_out55.1200lower
truncated0.000200neutral

02cost and speed

cost per item
$0.000119 · 810 tok
speed per item
p50 1,817 · p95 6,172 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
cnn_gemma_l_n200_v1_20260926T072408Z2026-09-26 07:32200$0.023709measured

04config

config cnn_gemma_l_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

family
gemma
max_tokens
1200
model
eval-gemma-31b
price_tier
large
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.1
usd_per_mtok_out
0.2

05conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.model
eval-gemma-31b
deployment.source
adapter
deployment.upstream
openrouter/google/gemma-4-31b-it
fingerprint.version
5
library.numpy
2.4.6
library.openai
3.19.2
library.rouge-score
0.1.2
machine.cpu_count
12
machine.platform
Darwin/x86_64
machine.processor
i386
machine.python
3.11.8
machine.release
24.6.0
reference.sha256
5d0b02c3798017535572d24dd3ce0592332938a0c91e93684d163963a60a7cd9
scorer.id
examples/summarization-cnn-dailymail/adapter.py
scorer.sha256
2fd5227d666d5a1c3110afab4df0df63b3f3bf7f42dab7f5db7c16473efd191f

06the same config, scored other ways

scored against silverscored by a judgewrote the reference it is scored againstscored against a label set, not a reference setunmarked rows are scored against gold

07rounds