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articles/machine-learning/how-to-auto-train-image-models.md

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@@ -762,7 +762,7 @@ this is how your review page looks like. we can select instance type, instance c
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### Update inference settings
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In the previous step, we downloaded a file `mlflow-model/artifacts/settings.json` from the best model. which can be used to update the inference settings before registering the model. Although its's recommended to use the same parameters as training for best performance.
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In the previous step, we downloaded a file `mlflow-model/artifacts/settings.json` from the best model. which can be used to update the inference settings before registering the model. Although it's recommended to use the same parameters as training for best performance.
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Each of the tasks (and some models) has a set of parameters. By default, we use the same values for the parameters that were used during the training and validation. Depending on the behavior that we need when using the model for inference, we can change these parameters. Below you can find a list of parameters for each task type and model.
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