Open the config.yaml file and specify the specified configurations. The file must have the subsequent construction:
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To resume education from a converted Megatron-LM checkpoint, it is actually essential to correctly build the coaching parameters to match the prior learning amount plan. Use the next location with the coach.max_steps parameter within your NeMo schooling configuration:
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The dataloader point out conversion will instantly be carried out in the course of checkpoint conversion if This really is established inside the config:
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Regulate the values inside the config.yaml file In keeping with your necessities. It is possible to refer to the feedback in the file for strategies and available decisions.
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the TensorFlow checkpoint inside the PyTorch product and saves the ensuing model in a normal PyTorch save file which can