CopyCat Masterclass | 12. Monitor Training and General Troubleshooting

In this video, you’ll learn to measure a model's training progress by focusing on the loss curve, where a declining and then flattening trend indicates full training. Use the log scale and smoothness slider for clearer loss graph analysis. Expect varying loss values based on task complexity, ranging from 1e-3 to 1e-6. Also, use contact sheets to check model outputs against ground truth, ensuring input-groundtruth match. Additionally, the preview feature helps assess model performance on unseen data, enhancing your training accuracy and efficiency in CopyCat.

Check out the full course on our Learn page: https://learn.foundry.com/course/7922...

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00:00 Introduction
00:16 Monitor Train by looking at the last variation
00:34 Loss Graph tips
02:36 CopyCat preview feature
03:00 Example of preview feature

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