About how to increase the number of epochs.

suzu-asuka commented 3 months ago

Search before asking

[X] I have searched the HUB issues and discussions and found no similar questions.

Question

I apologize for the inconvenience, but thank you for your understanding.The number of epochs for deep learning stops at 100. What can I do to increase the number of times I study? thank you

Additional

No response

github-actions[bot] commented 3 months ago

👋 Hello @suzu-asuka, 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, 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!

pderrenger commented 3 months ago

@suzu-asuka hello!

Thank you for reaching out and for your thorough search before asking your question. Increasing the number of epochs in your training process is quite straightforward. You can adjust the number of epochs in your training configuration file or script.

If you are using a YAML configuration file, you can set the epochs parameter like this:

# training configuration
epochs: 200  # set this to your desired number of epochs

If you are using a Python script to run your training, you can set the epochs parameter in the train function call:

from ultralytics import YOLO

# Load a model
model = YOLO('yolov5s.pt')

# Train the model
model.train(data='coco128.yaml', epochs=200)  # set this to your desired number of epochs

Make sure you have the latest version of the Ultralytics packages to avoid any potential issues. You can update your packages using:

pip install --upgrade ultralytics

If you encounter any further issues or have additional questions, feel free to ask. Happy training! 😊

sergiuwaxmann commented 3 months ago

@suzu-asuka You can also customize the number of epochs using Ultralytics HUB's UI: https://docs.ultralytics.com/hub/models#2-model

ultralytics / hub