eval-harness

arm

db_gemma_m_n200_v1

One config on dbpedia_280, scored one way; its repeats averaged per item.

dataset
dbpedia_280
scored against
gold/dbpedia_280 gold
goal
Encyclopedia topic classification (DBpedia)
runs
1
headline
correct 0.986
last run
2026-09-27 14:42

Inspect itAgainst the baselineWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
correct0.986280higher
answer_words1.000280neutral
correct_after_repair0.000280neutral
cost_usd$0.000012280lower
fmt_markdown0.000280neutral
fmt_verbose0.000280neutral
latency_ms856.5280lower
parsed1.000280higher
reasoning_tokens0.000280neutral
tokens_in147.6280lower
tokens_out2.443280lower
truncated0.000280neutral

02cost and speed

cost per item
$0.000012 · 150 tok
speed per item
p50 651 · p95 1,549 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
db_gemma_m_n200_v1_20260927T143833Z2026-09-27 14:42280$0.003271measured

04config

config db_gemma_m_n200_v1 · adapter examples/classification-dbpedia-14/adapter.py · credentials are never shown

family
gemma
max_tokens
200
model
eval-gemma-26b
price_tier
mid
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.07
usd_per_mtok_out
0.15

05conditions

data.items_sha256
a7419dc6a5876490c3ed1f96eae9398969a2f8b794e744d45ace5790bc0146f2
deployment.model
eval-gemma-26b
deployment.source
adapter
deployment.upstream
openrouter/google/gemma-4-26b-a4b-it
fingerprint.version
5
library.openai
3.19.2
machine.cpu_count
12
machine.label
mac-dev
machine.platform
Darwin/x86_64
machine.processor
i386
machine.python
3.11.8
machine.release
24.6.0
reference.sha256
e0564fe65fb011e37717e037a6ad662f44e796b7d7de8e62ed2344ba56fa7a8a
scorer.id
examples/classification-dbpedia-14/adapter.py
scorer.sha256
58b55c964f8bb40746c359621beb25bfd0a071fca079961bdf15be1e7c0a77a8

06rounds