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How To Version Models While Training In Production


I have run the Ubuntu 20.04 container and cloned YOLOv5 inside it. Within the container, I configured ClearML (self-hosting server) with access keys and credentials.

I am launching YOLOv5 training with project and name tags. However, experiment results are not being logged to the ClearML server; instead, they are saved inside the container's root directory under the <project/name> folder.

Interestingly, when I tried running the process directly on the host machine, the experiment results were successfully logged to the ClearML server. It's worth noting that I am able to send data from the container to the ClearML server, but the training results are not being logged.

  
  
Posted 8 months ago
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8 months ago
8 months ago