eval-harness

arm

cnn_deepseek_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 0.332
last run
2026-09-25 23:51

Inspect itAgainst the baselineWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
coverage0.332200higher
compression0.126200neutral
concision0.259200higher
cost_usd$0.000694200lower
fmt_bullets0.000200neutral
fmt_label0.000200neutral
fmt_markdown0.000200neutral
fmt_narration0.000200neutral
fmt_overlong0.000200neutral
fmt_paragraphs0.000200neutral
grounding0.333200higher
latency_ms2665.5200lower
length_vs_reference1.546200neutral
reasoning_tokens0.000200neutral
reference_words34.7200neutral
rouge10.355200higher
rougeLsum0.312200higher
summary_words50.2200neutral
tokens_in736.4200lower
tokens_out65.2200lower
truncated0.000200neutral

02cost and speed

cost per item
$0.000694 · 802 tok
speed per item
p50 2,354 · p95 4,380 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_deepseek_l_n200_v1_20260925T234213Z2026-09-25 23:51200$0.138896measured

04config

config cnn_deepseek_l_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

family
deepseek
max_tokens
1200
model
eval-deepseek-pro
price_tier
large
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.28
usd_per_mtok_out
1.1

05conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.model
eval-deepseek-pro
deployment.source
adapter
deployment.upstream
openrouter/deepseek/deepseek-v4-pro
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