eval-harness

arm

db_bert_base_fy_n200_v1 · linux

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
2026-09-30 14:41

Inspect itAgainst the baselineWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
correct0.986280higher
answer_words1.000280neutral
confidence0.997280neutral
correct_after_repair0.000280neutral
cost_usd$0.000000280lower
fmt_markdown0.000280neutral
fmt_verbose0.000280neutral
latency_ms165.8280lower
parsed1.000280higher

02cost and speed

cost per item
$0.000000
speed per item
p50 61 · p95 175 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_bert_base_fy_n200_v1_20260930T144025Z2026-09-30 14:41280$0.000000measured

04config

config db_bert_base_fy_n200_v1 · adapter examples/classification-dbpedia-14/adapter.py · credentials are never shown

device
cpu
family
bert
label_order
["Company", "EducationalInstitution", "Artist", "Athlete", "OfficeHolder", "MeanOfTransportation", "Building", "NaturalPlace", "Village", "Animal", "Plant", "Album", "Film", "WrittenWork"]
model
fabriceyhc/bert-base-uncased-dbpedia_14
precision
fp32
price_tier
free
provider
hf_local

05conditions

data.items_sha256
a7419dc6a5876490c3ed1f96eae9398969a2f8b794e744d45ace5790bc0146f2
deployment.device
cpu
deployment.model
fabriceyhc/bert-base-uncased-dbpedia_14
deployment.quantization
fp32
deployment.source
adapter
fingerprint.version
5
library.numpy
1.26.4
library.openai
3.19.2
library.torch
2.14.0
library.transformers
4.55.4
machine.cpu_count
4
machine.platform
Linux/x86_64
machine.processor
x86_64
machine.python
3.11.15
machine.release
6.18.44-fc-v50
reference.sha256
e0564fe65fb011e37717e037a6ad662f44e796b7d7de8e62ed2344ba56fa7a8a
scorer.id
examples/classification-dbpedia-14/adapter.py
scorer.sha256
58b55c964f8bb40746c359621beb25bfd0a071fca079961bdf15be1e7c0a77a8

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

armscored againstheadlinemean
db_bert_base_fy_n200_v1gold/dbpedia_280 goldcorrect0.986

07rounds