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Hi Guys. Say That We Train A Model With 10 Epoch, And Suddenly Interruption Occur On Epoch 5. How Can We Continue The By Using Clearml?

Hi guys. Say that we train a model with 10 epoch, and suddenly interruption occur on epoch 5. How can we continue the by using ClearML?

  
  
Posted one year ago
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Answers 4


Then running by using the last.pt , am I right?

  
  
Posted one year ago

I have put the --save-period while running Yolov5 and ClearML does not save the weight per epoch that I have trained. Why is this happened?

  
  
Posted one year ago

Hi @<1546665666675740672:profile|AttractiveFrog67>

  • Make sure you stored the model's checkpoint (either pass output_uri=True in Task.init or manually upload)
  • When you call Task.init pass " continue_last_task=True "
  • Now you can do last_checkpoint=task.models["output"][-1].get_local_copy() and all you need is to load last_checkpoint
  
  
Posted one year ago

Then running by using the

, am I right?

yep

I have put the

--save-period

while running Yolov5 and ClearML does not save the weight per epoch that I have trained. Why is this happened?

But do you still see it in the clearml UI ? do you see the models logged in the clearml UI ?

  
  
Posted one year ago
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4 Answers
one year ago
one year ago
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