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Jev glossary

Evaluation & Training

Brier score

A score for a full probability vector against one observed label. Lower is better, and a confident wrong answer costs more than a hedge.
Category
Evaluation & Training
Also known as
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Reading time
1 min
Related terms
4
Directory entries
2
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Added
2026-09-28

Definition

The r/AmItheAsshole benchmark grades every verdict probability, from 0 for a perfect call to 2 for the worst. On 770 posts from 2025, unadjusted Jev scored 0.369 and Sonnet 5 scored 0.344. Top-1 accuracy is reported beside it and is a different number.

Rizzo Flow reports Brier on typed-decisions as well: 0.205 after its fine-tune, against 0.480 for the untuned Spark-X2.5-4B and 0.148 on Jev's dataset card. Compare Brier only when the label set and the weighting match.

Tagsevaluationcalibration

From the Jev directory

Directory entries that go deeper on this term.

A 770-post benchmark that scores Jev, Sonnet 5, GPT-5 nano, and two local models on Reddit verdicts with weighted Brier scores.
Jev Benchmarks & Evaluations#community#python#evaluation
904GitHub stars
A local server that reads next-token probabilities from a fine-tuned Spark model and returns Choice, Score, and Noul answers with zero generated tokens.
Jev Models & Reimplementations#community#python#open-models

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