Launch: Stop Training Jobs Early
Published May 29, 2025 • 2 min read

You can now stop training jobs early in Roboflow Train with a new “Stop Training Early” button.

You may want to use this feature if:

  1. Your training graphs show strong model performance and;
  2. There are still many epochs left in your training job.

When you stop a model training early, the weights will be saved, the model will be available for use, and you’ll use less training credits. This is in contrast to the Cancel Training Job button which will stop a training job and not save the results.

Early stopping is available to all users on all plans.

In this guide, we’ll walk through how to use the Stop Training Early feature.

How to Stop a Training Job Early

You can stop a training job early at any time. You may want to stop a training job if you have several hours or days left in a job and notice that performance is starting to flatten out.

The best time to stop a job early depends on several factors, including:

  1. The model architecture you are using;
  2. How well your model is training;
  3. Whether you are training from an existing checkpoint;
  4. And more.

For example, if you are 100 epochs into a training job and you notice your training graphs are flat, you may want to stop the job early.

To stop training early, click the “Stop Training Early” button:

The dashboard will then update to say that the training job is stopping. This may take several minutes depending on the model you are training.

When your model is ready, there will be a green checkmark next to the model version name:

Your model will then be available for use in Workflows and deployment with Roboflow Inference.

Conclusion

With the new “Stop Training Early” button, you can stop training midway through a training job. This feature is especially useful if you are running a multi-day training job with a larger model architecture and notice performance is starting to plateau.

When you stop training early, the weights will be saved and prepared for deployment.

If you accidentally started a training job or want to stop training and don’t want the model weights, we recommend cancelling a training job. You will be refunded if you cancel your training job early enough.

Cite this Post

Use the following entry to cite this post in your research:

James Gallagher. (May 29, 2025). Launch: Stop Training Jobs Early. Roboflow Blog: https://blog.roboflow.com/stop-training-jobs-early/

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Written by

James Gallagher
James is a technical writer at Roboflow, with experience writing documentation on how to train and use state-of-the-art computer vision models.