eval-harness

arm

cnn_llama_s_n200_v1 · judged/judge-summ-v1

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

dataset
cnn_dailymail_200
scored against
judge judge-summ-v1
goal
Short news summaries (CNN)
runs
1
headline
judge_score 4.704
last run
2026-10-25 13:39

Inspect itWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
judge_score4.704197higher
cost_usd$0.000111197lower
judge_gemma_l4.832197higher
judge_qwen_s4.576197higher
latency_ms2391.7197lower
reasoning_tokens0.000197neutral
tokens_in738.7197lower
tokens_out72.9197lower
truncated0.000197neutral

02cost and speed

cost per item
$0.000111 · 812 tok
speed per item
p50 2,195 · p95 4,062 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_llama_s_n200_v1_20260926T071608Z2026-10-25 13:39197$0.021840judge

04config

config cnn_llama_s_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

family
llama
max_tokens
1200
model
eval-llama-scout
price_tier
small
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.08
usd_per_mtok_out
0.3

05conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.model
eval-llama-scout
deployment.source
adapter
deployment.upstream
openrouter/meta-llama/llama-4-scout
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
judge-score:judge-summ-v1
scorer.sha256
4b5440bf0599fd12fd2d69a2697f1b0cdf54871486ef228b60be554750e82887

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