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Amazon SageMaker AI adds custom sequence lengths for serverless model customization

Amazon SageMaker AI now allows configuring sequence lengths for serverless model customization jobs instead of using fixed lengths.

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Summary

Amazon SageMaker AI updated its serverless model customization jobs to support configurable sequence lengths. Users can now adjust these parameters up to the published model maximums for fine-tuning open-weight models.

What changed

  • Configure the sequence length used during your serverless model customization job.
  • Set the dataset_max_len hyperparameter for SFT and DPO jobs.
  • Set max_prompt_length and max_response_length hyperparameters for RFT jobs.

Availability

Available now

“Serverless model customization on SageMaker AI is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland).”

Founder takeaway

If you use SageMaker AI for serverless model fine-tuning, check your model's published maximums and adjust sequence length hyperparameters to better fit your training data.

Source

AWSAmazon SageMaker AI now supports custom sequence lengths for serverless model customization jobs - AWS

Announced Checked

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