Hi All Im Trying To Save My Model Checkpoints During Runtime But Am Running Into A Confusing Snag. I'M Using The Huggingface Architecture For A Transformer. Using Their Training Module To Control Training. In The Training Args, I Have The

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queued with:

task = Task.create(
    project_name="name",
    task_name="training",
    repo="repo",
    branch="branch",
    script="training_script",
    packages=package_list,
    docker="docker_gpu_image",
    docker_args=["--network=host"],
)
task.output_uri = "filer_server"
task.enqueue(task, "training")

  				
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	4 months ago

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					FantasticSeaurchin8
				
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4 months ago