eval-harness

arm

cnn_anthropic_l_n200_v1 · silver

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

dataset
cnn_dailymail_200
scored against
silver/cnn_dailymail_200 silver
goal
Short news summaries (CNN)
runs
1
headline
coverage 1.000
last run
2026-10-25 16:49
note
wrote the reference it is scored against: its row measures agreement with itself

Inspect itWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
coverage1.000200higher
compression0.187200neutral
concision1.000200higher
cost_usd$0.009826200lower
fmt_bullets0.000200neutral
fmt_label0.000200neutral
fmt_markdown0.000200neutral
fmt_narration0.010200neutral
fmt_overlong0.115200neutral
fmt_paragraphs0.100200neutral
grounding0.402200higher
latency_ms3402.0200lower
length_vs_reference1.000200neutral
reasoning_tokens0.000200neutral
reference_words74.5200neutral
rouge11.000200higher
rougeLsum1.000200higher
summary_words74.5200neutral
tokens_in1134.7200lower
tokens_out166.1200lower
truncated0.000200neutral

02cost and speed

cost per item
$0.009826 · 1,301 tok
speed per item
p50 3,259 · p95 4,718 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_anthropic_l_n200_v1_20260926T063645Z2026-10-25 16:49200$1.965235rescore

04config

config cnn_anthropic_l_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

family
anthropic
max_tokens
1200
model
eval-opus-5
price_tier
large
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
5.0
usd_per_mtok_out
25.0

05conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.model
eval-opus-5
deployment.source
adapter
deployment.upstream
openrouter/anthropic/claude-opus-5
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
b7cd73d14c009e1ee5559a332cfc37143e24b4debcc75d1fdda9235a85b26f3d
scorer.id
examples/summarization-cnn-dailymail/adapter.py
scorer.sha256
3826aad41bf91e498b57f98536babef281452cd09b4eb793e20dec53fd9bc4f8

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