# Training in colab , with yolov5

**URL:** <https://discuss.roboflow.com/t/training-in-colab-with-yolov5/555>\
**Category:** 🤝  Community Help\
**Created:** [June 11, 2022, 6:53am UTC](https://discuss.roboflow.com/t/training-in-colab-with-yolov5/555 "2022-06-11T06:53:30Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![Mohamed](https://yyz1.discourse-cdn.com/flex029/user_avatar/discuss.roboflow.com/mohamed/32/62_2.png) [@Mohamed](https://discuss.roboflow.com/u/Mohamed)\
**Post date:** [June 14, 2022, 6:42pm UTC](https://discuss.roboflow.com/t/training-in-colab-with-yolov5/555/2 "2022-06-14T18:42:20Z")

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You can read more on YOLOv5 from our model library: [YOLOv5 PyTorch Object Detection Model](https://models.roboflow.com/object-detection/yolov5)

Additionally, more information is available from the [YOLOv5 GitHub repository’s ReadMe (docs)](https://github.com/ultralytics/yolov5) and [Documentation](https://docs.ultralytics.com/).

- `box` = box loss (an error calculation)
- `cls` = classification loss (an error calculation)
- [Precision and Recall in Machine Learning](https://blog.roboflow.com/precision-and-recall/)
- [Mean Average Precision (mAP) in Object Detection](https://blog.roboflow.com/mean-average-precision/)
- An “epoch” is like one complete “round” of training through the model architecture’s network for your dataset.

Additionally, we have a [computer vision glossary](https://help.roboflow.com/1339576-roboflow1-glossary), an [Intro to Computer Vision blog post](https://blog.roboflow.com/intro-to-computer-vision/) and a [Guide for Model Production](https://help.roboflow.com/a-guide-for-model-production/)

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