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More hyperparameters management for training #384
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👋 Hello @fabian57fabian, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:
If this is a 🐛 Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix. If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response. We try to respond to all issues as promptly as possible. Thank you for your patience! |
@fabian57fabian thank you for your suggestion on enhancing the hyperparameters control during the model training phase! Your idea to include more hyperparameters like augmentation parameters, learning rate, or providing an input text box to include a YAML/JSON file with overriding parameters certainly adds more flexibility to the customization process. It's an interesting approach to make the platform more adaptable to different user needs. We highly appreciate the feedback from our users and the YOLO community and we constantly strive to improve our platform based on that. We will put forward your suggestion to our development team for evaluation. Keep an eye out for updates on our GitHub page for the implementation of this feature. Thank you again for your insightful suggestion! |
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help. For additional resources and information, please see the links below:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ |
I'll keep an eye but if no changes will be made and other people don't require this, it could be closed. |
@fabian57fabian, thank you for your understanding. We appreciate the community's patience and cooperation as we decide upon improvements to implement on the Ultralytics HUB. As always, user feedback is crucial to our development, and we truly value your suggestions. Even if it takes a while for your specific request to be addressed, we hope that you and others will continue to see the many benefits of our platform. Rest assured that we consider every suggestion and work to implement those ideas that best fit our roadmap and can benefit the most users. Again, we appreciate your input and understanding. Please don't hesitate to contribute in the future with any other feature requests or issues you may have. |
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help. For additional resources and information, please see the links below:
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ |
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Description
When training a model from Ultralytics HUB, there are only a few hyperparameters available (e.g. epochs, patience ...) and only one "advanced" hp for batch size.
Could we add more? Like all Augmentation params, or starting learning rate...
Alternatively an input text box where to put a json/yaml file with all overriding params, similar to yaml config file.
Use case
During model training interface. Could be used to set more hyperparameters.
Additional
No response
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