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slalom
2026-06-12 14:10:52 -04:00
parent 3ec9c7b57a
commit 20cd3f9794
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@@ -238,9 +238,9 @@ Current behavior:
6. The MLflow alias `experiment-latest` points at the most recently registered experiment version.
7. AI Hub upload commands create deployable derived artifacts from a trained-source experiment or local ONNX model.
Training scripts can include a `training_metrics.json` file in the SageMaker model directory. The explicit metrics
upload command logs its ordered metrics to the associated MLflow run using each epoch as the MLflow step and stores
the JSON as a run artifact:
Training scripts can include a `training_metrics.json` file in the SageMaker model directory. When present, the
explicit metrics upload command logs its ordered metrics to the associated MLflow run using each epoch as the MLflow
step and stores the JSON as a run artifact:
```json
{
@@ -253,8 +253,9 @@ the JSON as a run artifact:
```
Metric names must be non-empty strings, values must be finite numbers, and steps must be non-negative, unique, and
strictly increasing. A missing or malformed metrics artifact fails the upload command without affecting the trained
model or model registration.
strictly increasing. If the file is missing, the command uploads the final metrics reported by SageMaker and continues
model registration without per-epoch history. A malformed metrics artifact still fails the upload command without
affecting the trained model or model registration.
Future release aliases such as `v1` or `production` can point at a selected deployable artifact.