arm
ag_bert_base_fy_n200_v1 · linux
One config on ag_news_200, scored one way; its repeats averaged per item.
- dataset
- ag_news_200
- scored against
- gold/ag_news_200 gold
- goal
- News topic classification (AG News)
- runs
- 1
- headline
- correct 0.950
- last run
- 2026-09-30 14:40
Inspect itAgainst the baselineWith the 33 arms scored the same way
01metrics
| metric | mean | items | better |
|---|---|---|---|
| correct | 0.950 | 200 | higher |
| answer_words | 1.000 | 200 | neutral |
| confidence | 0.989 | 200 | neutral |
| correct_after_repair | 0.000 | 200 | neutral |
| cost_usd | $0.000000 | 200 | lower |
| fmt_markdown | 0.000 | 200 | neutral |
| fmt_verbose | 0.000 | 200 | neutral |
| latency_ms | 201.5 | 200 | lower |
| parsed | 1.000 | 200 | higher |
02cost and speed
- cost per item
- $0.000000
- speed per item
- p50 55 · p95 322 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 |
|---|---|---|---|---|
ag_bert_base_fy_n200_v1_20260930T143928Z | 2026-09-30 14:40 | 200 | $0.000000 | measured |
04config
config ag_bert_base_fy_n200_v1 · adapter examples/classification-ag-news/adapter.py · credentials are never shown
- device
cpu- family
bert- label_order
["World", "Sports", "Business", "Sci/Tech"]- model
fabriceyhc/bert-base-uncased-ag_news- precision
fp32- price_tier
free- provider
hf_local
05conditions
- data.items_sha256
d7bf61eb3b27e79d492bbe5a445659813dfcacf6fadcae4d26255c45291bedd2- deployment.device
cpu- deployment.model
fabriceyhc/bert-base-uncased-ag_news- deployment.quantization
fp32- deployment.source
adapter- fingerprint.version
5- library.numpy
1.26.4- library.openai
3.19.2- 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
e671b1a159664de82a0a5f35d36150d81abc99d45ac19e7df8ec1d66164bcc04- scorer.id
examples/classification-ag-news/adapter.py- scorer.sha256
a678930359b38e367bc29f20f4e886d0e8c91361f0963e6a038511fbc50546b8
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 |
|---|---|---|---|
| ag_bert_base_fy_n200_v1 | gold/ag_news_200 gold | correct | 0.950 |
| ag_bert_base_fy_n200_v1 · adjudicated | gold/ag_news_200_adj1 gold | correct | 0.905 |
07rounds
- Round r2 of News topic classification (AG News), closed: retired in it.