Refreshing removing custom train configuration [visualization]

[WhoIsElMasri]

Search before asking

• I have searched the HUB issues and found no similar bug report.

HUB Component

Training

Bug

As soon you refresh after setting up a training, some configuration parameter disappear from the list:

Screencast.from.2025-01-02.01-25-32.webm

Environment

No response

Minimal Reproducible Example

No response

Additional

No response

[UltralyticsAssistant]

👋 Hello @WhoIsElMasri, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

• Quickstart. Start training and deploying YOLO models with HUB in seconds.
• Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
• Projects: Creating and Managing. Group your models into projects for improved organization.
• Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
• Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
• Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
  • iOS. Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
  • Android. Explore TFLite acceleration on mobile devices.
• Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.

If this is a 🐛 Bug Report, it would be helpful if you could provide a Minimal Reproducible Example (MRE) to help us troubleshoot more effectively. For example:

1. Steps to reproduce the issue (what configuration parameters were used, how they were set, any specific sequence of actions leading up to the refresh).
2. Screenshots or videos illustrating the problem (thank you for the video you’ve already shared!).
3. Any other relevant contextual details, such as browser version, environment information, etc.

If this is a ❓ Question, please provide more details about your configuration, model, or dataset setup so we can assist you accordingly. 🛠️

We try to respond to all issues as promptly as possible—an Ultralytics engineer will review this and provide further assistance soon. Thank you for your patience! 🙏

[yogendrasinghx]

Hi @WhoIsElMasri,

We apologize for the inconvenience caused and sincerely thank you for reporting this issue. We’ve successfully reproduced the problem on our end, and your detailed screen recording was extremely helpful in identifying it.

I’ve informed the development team, and they will begin working on a fix soon. I’ll keep you updated and let you know as soon as the issue is resolved.

Thank you for your patience and understanding!