arm
se_gemma_l_n100_pick_v1
One config on summeval_100, scored one way; its repeats averaged per item.
- dataset
- summeval_100
- scored against
- gold/summeval_100 gold
- runs
- 1
- headline
- top1 0.364
- last run
- 2026-11-02 15:13
01metrics
| metric | mean | items | better |
|---|---|---|---|
| top1 | 0.364 | 100 | higher |
| cost_usd | $0.000209 | 100 | lower |
| latency_ms | 1813.0 | 100 | lower |
| parsed | 1.000 | 100 | neutral |
| reasoning_tokens | 0.000 | 100 | neutral |
| tokens_in | 2052.9 | 100 | lower |
| tokens_out | 9.860 | 100 | lower |
| top1_chance | 0.088 | 100 | neutral |
| truncated | 0.000 | 100 | neutral |
02cost and speed
- cost per item
- $0.000209 · 2,063 tok
- speed per item
- p50 1,124 · p95 7,045 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 |
|---|---|---|---|---|
se_gemma_l_n100_pick_v1_20261102T151040Z | 2026-11-02 15:13 | 100 | $0.020865 | measured |
04config
config se_gemma_l_n100_pick_v1 · adapter examples/summeval-judging/adapter.py · credentials are never shown
- family
gemma- max_tokens
1500- mode
pick- model
eval-gemma-31b- price_tier
large- prompt_file
prompt_pick.txt- provider
litellm- reasoning
{"enabled": false}- temperature
0.0- usd_per_mtok_in
0.1- usd_per_mtok_out
0.2
05conditions
- data.items_sha256
b59999b281b2cbe87c57e4af34cc475c01ba1d531c7b77cb93a136665119c613- deployment.model
eval-gemma-31b- deployment.source
adapter- deployment.upstream
openrouter/google/gemma-4-31b-it- fingerprint.version
5- harness.code_sha256
fd4cd92c896bc9d1d43a63ce5809ee1a831a95a66ae786275a750501d93ac77a- harness.version
0.5.0- library.anthropic
2.3.0- library.numpy
2.5.4- library.openai
3.41.0- library.rouge-score
0.1.2- machine.cpu_count
32- machine.label
mac-dev- machine.platform
Linux/x86_64- machine.python
3.14.7- machine.release
7.2.5-3-omarchy- reference.sha256
7b5e618e23b7f2b222665d83e99006eb0e9a51066e63e2e5ff8c51ae3c696c21- scorer.id
examples/summeval-judging/adapter.py- scorer.sha256
2ad9193bcb91f7218b9eac0c9e9f68daf372e989cdfa2cd318e4833e693c88c9