arm
cnn_bart_s_dm200_v1
One config on cnn_dailymail_dm200, scored one way; its repeats averaged per item.
- dataset
- cnn_dailymail_dm200
- scored against
- gold/cnn_dailymail_dm200 gold
- goal
- Short news summaries (CNN)
- runs
- 1
- headline
- coverage 0.405
- last run
- 2026-10-15 04:37
01metrics
| metric | mean | items | better |
|---|---|---|---|
| coverage | 0.405 | 200 | higher |
| compression | 0.106 | 200 | neutral |
| concision | 0.427 | 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 | 0.005 | 200 | neutral |
| fmt_overlong | 0.000 | 200 | neutral |
| fmt_paragraphs | 0.000 | 200 | neutral |
| grounding | 0.903 | 200 | higher |
| input_truncated | 0.290 | 200 | neutral |
| latency_ms | 4302.1 | 200 | lower |
| length_vs_reference | 1.022 | 200 | neutral |
| reference_words | 57.9 | 200 | neutral |
| rouge1 | 0.448 | 200 | higher |
| rougeLsum | 0.417 | 200 | higher |
| summary_words | 53.8 | 200 | neutral |
| tokens_in | 846.7 | 200 | lower |
| tokens_out | 67.2 | 200 | lower |
02cost and speed
- cost per item
- $0.000000 · 914 tok
- speed per item
- p50 4,207 · p95 5,571 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_s_dm200_v1_20261015T042310Z | 2026-10-15 04:37 | 200 | $0.000000 | measured |
04config
config cnn_bart_s_dm200_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-6-6- no_repeat_ngram_size
3- num_beams
4- precision
fp32- price_tier
free- provider
hf_local
05conditions
- data.items_sha256
0cf85d1eb3b9176ac6e49f3ab83761e271aeb0f87b18709f230815a4e213865b- deployment.build
d2fde4ca965ba893255479612e4b801aa6500029- deployment.device
cpu- deployment.model
sshleifer/distilbart-cnn-6-6- 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-v114- reference.sha256
7fc293bc2d9661e3b23d2bb1af8981f5e4bab10e4ab3c83b36e03f571fcef8cc- scorer.id
examples/summarization-cnn-dailymail/adapter.py- scorer.sha256
e366d078c93f9d703819c1409790cb64d08f1353a396aaebf24f850a2171604e