arm
cnn_bart_l_n200_v1 · silver
One config on cnn_dailymail_200, scored one way; its repeats averaged per item.
- dataset
- cnn_dailymail_200
- scored against
- silver/cnn_dailymail_200 silver
- goal
- Short news summaries (CNN)
- runs
- 1
- headline
- coverage 0.317
- last run
- 2026-10-25 16:49
01metrics
| metric | mean | items | better |
|---|---|---|---|
| coverage | 0.317 | 200 | higher |
| compression | 0.132 | 200 | neutral |
| concision | 0.462 | 200 | higher |
| cost_usd | $0.000000 | 200 | lower |
| fmt_bullets | 0.000 | 200 | neutral |
| fmt_label | 0.000 | 200 | neutral |
| fmt_markdown | 0.000 | 200 | neutral |
| fmt_narration | 0.010 | 200 | neutral |
| fmt_overlong | 0.000 | 200 | neutral |
| fmt_paragraphs | 0.000 | 200 | neutral |
| grounding | 0.884 | 200 | higher |
| latency_ms | 11009.6 | 200 | lower |
| length_vs_reference | 0.701 | 200 | neutral |
| reference_words | 74.5 | 200 | neutral |
| rouge1 | 0.421 | 200 | higher |
| rougeLsum | 0.373 | 200 | higher |
| summary_words | 50.8 | 200 | neutral |
| tokens_in | 697.2 | 200 | lower |
| tokens_out | 66.2 | 200 | lower |
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
| run | made | items | cost | how |
|---|---|---|---|---|
cnn_bart_l_n200_v1_20260926T153757Z | 2026-10-25 16:49 | 200 | $0.000000 | rescore |
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
05conditions
- 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
b7cd73d14c009e1ee5559a332cfc37143e24b4debcc75d1fdda9235a85b26f3d- scorer.id
examples/summarization-cnn-dailymail/adapter.py- scorer.sha256
3826aad41bf91e498b57f98536babef281452cd09b4eb793e20dec53fd9bc4f8
06the same config, scored other ways
scored against silverscored by a judgescored against a label set, not a reference setunmarked rows are scored against gold
| arm | scored against | headline | mean |
|---|---|---|---|
| cnn_bart_l_n200_v1 | gold/cnn_dailymail_200 gold | coverage | 0.346 |
| cnn_bart_l_n200_v1 · linux | gold/cnn_dailymail_200 gold | coverage | 0.346 |
| cnn_bart_l_n200_v1 · judged/judge-summ-pick-v1 | judge judge-summ-pick-v1 | judge_won | 0.000 |
| cnn_bart_l_n200_v1 · judged/judge-summ-pointwise-v1 | judge judge-summ-pointwise-v1 | judge_score_unvalidated | 4.181 |
| cnn_bart_l_n200_v1 · judged/judge-summ-v1 | judge judge-summ-v1 | judge_score | 3.868 |
| cnn_bart_l_n200_v1 · judged/judge-summ-v2 | judge judge-summ-v2 | judge_score | 3.821 |
07rounds
- Round r1 of Short news summaries (CNN), closed: one of its arms.