---
id: workflow.weights-training.independent-assessment
title: Assess trained candidates against an independent benchmark
summary: Measure actual trained-model behavior separately from generation checks and provider job status.
kind: task
product_area: weights_training
status: stable
updated: 2026-11-11
canonical: /docs/weights-training/independent-assessment
---

# Assess trained candidates against an independent benchmark

Measure actual trained-model behavior separately from generation checks and provider job status.

## Prerequisites

An identifiable training output, a supported inference path, and an assessment population kept separate from training.

## Steps

1. Confirm the provider job completed and identify its resulting model.
2. Check how the selected inference connection or endpoint is associated with that output.
3. Authorize evaluation separately through the supported Results workflow. Inspect actual responses, rubric judgments, and completeness.
4. Compare against the intended baseline under interpretable benchmark and execution conditions. Examine both improvements and protected behavior.

## Object and state changes

Training records a provider operation. Evaluation records the behavior of the identified trained candidate through its configured inference path.

## Success criteria

A claimed improvement resolves to actual model behavior on the intended independent population.

## Common failure modes

Using job completion as an evaluation; assessing an endpoint that still serves a different model; evaluating only on teaching examples.

## Related reference pages

{% related-card-grid title="Continue this workflow" %}
- [Export training packages](/docs/weights-training/exports-and-training)
{% /related-card-grid %}

## Related troubleshooting pages

{% related-card-grid title="Resolve a problem" %}
- [Synthetic Cases That Feel Unrealistic](/docs/troubleshooting/unrealistic-synthetic-cases)
- [Unbalanced Coverage](/docs/troubleshooting/unbalanced-coverage)
{% /related-card-grid %}