eval-harness

arm

cnn_bart_l_n200_v1 baseline

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

dataset
cnn_dailymail_200
scored against
gold/cnn_dailymail_200 gold
goal
Short news summaries (CNN)
runs
1
headline
coverage 0.346
last run
2026-09-26 16:14

Inspect itWith the 35 arms scored the same way

01metrics

metricmeanitemsbetter
coverage0.346200higher
compression0.132200neutral
concision0.261200higher
cost_usd$0.000000200lower
fmt_bullets0.000200neutral
fmt_label0.000200neutral
fmt_markdown0.000200neutral
fmt_narration0.010200neutral
fmt_overlong0.000200neutral
fmt_paragraphs0.000200neutral
grounding0.884200higher
input_truncated0.230200neutral
latency_ms11009.6200lower
length_vs_reference1.579200neutral
reference_words34.7200neutral
rouge10.348200higher
rougeLsum0.316200higher
summary_words50.8200neutral
tokens_in697.2200lower
tokens_out66.2200lower

02cost and speed

cost per item
$0.000000 · 763 tok
speed per item
p50 10,724 · p95 14,371 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_bart_l_n200_v1_20260926T153757Z2026-09-26 16:14200$0.000000measured

04config

config cnn_bart_l_n200_v1 · adapter examples/summarization-cnn-dailymail/adapter.py · credentials are never shown

device
cpu
early_stopping
true
family
bart
length_penalty
2.0
max_length
142
min_length
56
model
facebook/bart-large-cnn
no_repeat_ngram_size
3
num_beams
4
precision
fp32
price_tier
free
provider
hf_local

05deploy sheet

measured by
cnn_bart_l_n200_v1_20260926T153757Z on cnn_dailymail_200
against
gold/cnn_dailymail_200
model sent
facebook/bart-large-cnn
model record
facebook-bart-large-cnn
server
not recorded
build
37f520fa929c961707657b28798b30c003dd100b
settings sent
device: cpu
early_stopping: true
length_penalty: 2.0
max_length: 142
min_length: 56
model: facebook/bart-large-cnn
no_repeat_ngram_size: 3
num_beams: 4
precision: fp32
provider: hf_local
not sent
bookkeeping: family, price_tier
declared
deployment.weight_files: ['model.safetensors:1625222120']
reported per item
encoder_window: 1024
adapter
examples/summarization-cnn-dailymail/adapter.py 51a7b06b1a2e
harness
fb7366a0a694

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

Command: evh deploy-sheet --config cnn_bart_l_n200_v1 [--capture C]

06conditions

data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7
deployment.build
37f520fa929c961707657b28798b30c003dd100b
deployment.device
cpu
deployment.model
facebook/bart-large-cnn
deployment.quantization
fp32
deployment.source
adapter
fingerprint.version
5
library.numpy
1.26.4
library.openai
3.19.2
library.rouge-score
0.1.2
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
5d0b02c3798017535572d24dd3ce0592332938a0c91e93684d163963a60a7cd9
scorer.id
examples/summarization-cnn-dailymail/adapter.py
scorer.sha256
51a7b06b1a2eec722a3bd024b7ed832746d06ef44683dd0e9fa8abc5c18d5618

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

08rounds