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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called with:


task = Task.init(
    project_name=project_name, task_name=task_name, output_uri="fileserver_address"
)


task.connect(config)


checkpoint = config.get("model_path")

image_processor = AutoImageProcessor.from_pretrained(
        checkpoint,
        num_labels=config.get("class_number"),
    )

best_model = training(checkpoint, image_processor)

  				
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	3 months ago

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					FantasticSeaurchin8
				
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3 months ago