arm
cnn_bart_m_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 0.320
- last run
- 2026-10-25 16:49
01metrics
| metric | mean | items | better |
|---|---|---|---|
| coverage | 0.320 | 200 | higher |
| compression | 0.143 | 200 | neutral |
| concision | 0.453 | 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 | 0.853 | 200 | higher |
| latency_ms | 5061.7 | 200 | lower |
| length_vs_reference | 0.763 | 200 | neutral |
| reference_words | 74.5 | 200 | neutral |
| rouge1 | 0.422 | 200 | higher |
| rougeLsum | 0.373 | 200 | higher |
| summary_words | 55.4 | 200 | neutral |
| tokens_in | 697.2 | 200 | lower |
| tokens_out | 68.8 | 200 | lower |
02cost and speed
- cost per item
- $0.000000 · 766 tok
- speed per item
- p50 4,649 · p95 7,223 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_m_n200_v1_20260930T083949Z | 2026-10-25 16:49 | 200 | $0.000000 | rescore |
04config
config cnn_bart_m_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
sshleifer/distilbart-cnn-12-6- no_repeat_ngram_size
3- num_beams
4- precision
fp32- price_tier
free- provider
hf_local
05conditions
- data.items_sha256
257feda902391b934b8cde940c15e91201096dbe96ec5a81337e9da007ce3ec7- deployment.device
cpu- deployment.model
sshleifer/distilbart-cnn-12-6- deployment.quantization
fp32- deployment.source
adapter- fingerprint.version
5- library.numpy
2.4.6- library.openai
3.19.2- library.rouge-score
0.1.2- 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
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_m_n200_v1 | gold/cnn_dailymail_200 gold | coverage | 0.337 |
| cnn_bart_m_n200_v1 · linux | gold/cnn_dailymail_200 gold | coverage | 0.337 |
| cnn_bart_m_n200_v1 · judged/judge-summ-pick-v1 | judge judge-summ-pick-v1 | judge_won | 0.000 |
| cnn_bart_m_n200_v1 · judged/judge-summ-v1 | judge judge-summ-v1 | judge_score | 3.564 |
| cnn_bart_m_n200_v1 · judged/judge-summ-v2 | judge judge-summ-v2 | judge_score | 3.235 |
07rounds
- Round r1 of Short news summaries (CNN), closed: one of its arms.