eval-harness

arm

db_bart_mnli_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 0.629
last run
2026-09-27 18:29

Inspect itAgainst the baselineWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
correct0.629280higher
answer_words1.000280neutral
confidence0.317280neutral
correct_after_repair0.000280neutral
cost_usd$0.000000280lower
fmt_markdown0.000280neutral
fmt_verbose0.000280neutral
latency_ms5717.7280lower
parsed1.000280higher

02cost and speed

cost per item
$0.000000
speed per item
p50 5,354 · p95 8,420 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_bart_mnli_n200_v1_20260927T180303Z2026-09-27 18:29280$0.000000measured

04config

config db_bart_mnli_n200_v1 · adapter examples/classification-dbpedia-14/adapter.py · credentials are never shown

device
cpu
family
bart
hypothesis_template
This text is about {}.
model
facebook/bart-large-mnli
precision
fp32
price_tier
free
provider
hf_zeroshot

05conditions

data.items_sha256
a7419dc6a5876490c3ed1f96eae9398969a2f8b794e744d45ace5790bc0146f2
deployment.build
d7645e127eaf1aefc7862fd59a17a5aa8558b8ce
deployment.device
cpu
deployment.model
facebook/bart-large-mnli
deployment.quantization
fp32
deployment.source
adapter
fingerprint.version
5
library.numpy
1.26.4
library.openai
3.19.2
library.torch
2.2.2
library.transformers
4.55.4
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