eval-harness

arm

db_bert_base_fy_n200_v1 baseline

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 09:10

Inspect itWith 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_ms86.7280lower
parsed1.000280higher

02cost and speed

cost per item
$0.000000
speed per item
p50 75 · p95 119 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_20260930T091006Z2026-09-30 09:10280$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

05deploy sheet

measured by
db_bert_base_fy_n200_v1_20260930T091006Z on dbpedia_280
against
gold/dbpedia_280
model sent
fabriceyhc/bert-base-uncased-dbpedia_14
model record
fabriceyhc-bert-base-uncased-dbpedia_14
server
not recorded
build
none recorded (a hosted model has no digest)
settings sent
device: cpu
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
provider: hf_local
not sent
bookkeeping: family, price_tier
declared
deployment.encoder_window: 512
deployment.label_order: ['Company', 'EducationalInstitution', 'Artist', 'Athlete', 'OfficeHolder', 'MeanOfTransportation', 'Building', 'NaturalPlace', 'Village', 'Animal', 'Plant', 'Album', 'Film', 'WrittenWork']
deployment.labels: ['Company', 'EducationalInstitution', 'Artist', 'Athlete', 'OfficeHolder', 'MeanOfTransportation', 'Building', 'NaturalPlace', 'Village', 'Animal', 'Plant', 'Album', 'Film', 'WrittenWork']
deployment.labels_sha256: d3a33437c1e2b2fe45fdb7a425b14796d89d31a0d8919d899149e27f5c6f899d
deployment.parser_sha256: 4ad032219af088a127d97f358471c648a50d9665e3b32cd2f3e2f2dca7d8ded2
deployment.provider: hf_local
adapter
examples/classification-dbpedia-14/adapter.py 58b55c964f8b
harness
4068ea23007d

No capture here says what production ran (the adapter's production_ran).

Command: evh deploy-sheet --config db_bert_base_fy_n200_v1 [--capture C]

06conditions

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

07the 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_v1 · linuxgold/dbpedia_280 goldcorrect0.986

08rounds