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Validation step is not happening while training #7397
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👋 Hello @shekarneo, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on macOS, Windows, and Ubuntu every 24 hours and on every commit. |
@shekarneo there's no bug, it just seems you don't understand how evolution works. Evolution with YOLOv5 Tutorials
Good luck 🍀 and let us know if you have any other questions! |
Thanks @glenn-jocher, how do i monitor precesion and recall. |
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs. Access additional YOLOv5 🚀 resources:
Access additional Ultralytics ⚡ resources:
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 YOLOv5 🚀 and Vision AI ⭐! |
@shekarneo Precision and recall can be monitored using the integrated W&B logging feature in YOLOv5. W&B automatically logs and visualizes all model metrics including precision and recall. Simply enable the If you have any more questions feel free to ask! |
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YOLOv5 Component
Training
Bug
Hi Run the training script with 5000 epochs and save weights at every 50 epochs, but it is not doing validation step and not giving any metric results.
its been 12th epochs getting these results:
Epoch gpu_mem box obj cls labels img_size
8/4999 5.04G 0.06438 0.08565 0.01406 51 640: 100%|██████████| 1435/1435 [05:42<00:00, 4.20it/s]
10/4999 5.04G 0.06388 0.08541 0.01401 21 640: 100%|██████████| 1435/1435 [05:48<00:00, 4.12it/s]
11/4999 5.04G 0.06371 0.08526 0.01384 32 640: 100%|██████████| 1435/1435 [05:49<00:00, 4.11it/s]
Environment
No response
Minimal Reproducible Example
Additional
No response
Are you willing to submit a PR?
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