feat(train): Add SequenceLength support for SFT, DPO, RLVR, RLAIF trainers#5965
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guanweim wants to merge 10 commits into
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feat(train): Add SequenceLength support for SFT, DPO, RLVR, RLAIF trainers#5965guanweim wants to merge 10 commits into
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…iners Add optional sequence_length parameter to all four trainers that enables customers to specify their desired context length for serverless training jobs. The parameter is passed in ServerlessJobConfig for recipe filtering. During trainer initialization, _get_fine_tuning_options_and_model_arn filters recipes by SequenceLength field, picking the smallest recipe with context length >= the requested value. Raises ValueError if no sufficient recipe exists or if recipes lack SequenceLength metadata. Changes: - ServerlessJobConfig: add sequence_length field - _parse_context_length: parse values like '8K' to integers - _get_fine_tuning_options_and_model_arn: filter by SequenceLength - _create_serverless_config: conditionally include sequence_length - SFTTrainer, DPOTrainer, RLVRTrainer, RLAIFTrainer: accept and thread sequence_length through init and train methods - Unit tests for all new functionality
… edit Add SequenceLength to service-2.json and regenerate shapes.py via codegen (python -m sagemaker.core.tools.codegen) instead of editing shapes.py manually.
…h not provided Keep the existing `next(...)` logic untouched for the default case (no sequence_length). Only build the candidates list and filter when sequence_length is explicitly requested, ensuring zero behavioral change for existing callers.
…config - Move sequence_length filtering above recipe selection to reduce recipes_with_template before existing logic runs - Always pass sequence_length to ServerlessJobConfig (no None guard)
Use Optional[str] = None instead of hardcoded "SageMakerPublicHub" default, letting get_sagemaker_hub_name() resolve it at runtime.
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zachgk
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Jun 22, 2026
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Issue #, if available:
Description of changes:
Add optional sequence_length parameter to SFTTrainer, DPOTrainer, RLVRTrainer, and RLAIFTrainer for specifying context length in serverless training jobs
Recipes are filtered by SequenceLength field, picking the smallest recipe with context length >= the requested value
Add SequenceLength to service-2.json and regenerate shapes via codegen
Unit tests for _parse_context_length helper (K suffix, lowercase, integer, None, empty)
Unit tests for recipe filtering by sequence length
Unit tests for ValueError when no sufficient context length exists
Unit tests for each trainer passing sequence_length through
Unit tests for _create_serverless_config with/without sequence_length
Integ test for sft recipe with different context length
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Previous pr that were not merged #5898