Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
How To Version Models While Training In Production

how to version models
while training in production

  
  
Posted 6 months ago
Votes Newest

Answers 6


@<1537605940121964544:profile|EnthusiasticShrimp49>

  
  
Posted 6 months ago

Hey @<1639074542859063296:profile|StunningSwallow12> what exactly do you mean by "training in production"? Maybe you can elaborate what kind of models too.

ClearML in general assigns a unique Model ID to each model, but if you need some other way of versioning, we have support for custom tags, and you can apply those programmatically on the model

  
  
Posted 6 months ago

This sounds like you don't have clearml installed in the ubuntu container. Either this, or your clearml.conf in the container is not pointing to the server, as a result all information is missing.

I'd rather suggest you change the approach, and run a clearml-agent setup with docker and when you want to run YOLOv5 training you actually execute it remotely on the queue that the agent is listening to

  
  
Posted 6 months ago

@<1537605940121964544:profile|EnthusiasticShrimp49>
I have configured it perfectly
Iam able to send data from the container to clearml server

If clearml-agent is the only way
Can you provide any documentation

  
  
Posted 6 months ago

Hi @<1639074542859063296:profile|StunningSwallow12> , here are the docs for the agent - None

  
  
Posted 6 months ago

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 6 months ago
496 Views
6 Answers
6 months ago
6 months ago
Tags
Similar posts