Update from code changes: document StreamingDataset sequence packing - #335
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Summary
Documents the new sequence-packing mode in
StreamingDataset, which concatenates tokenized documents into fixed-length blocks for language model pre-training. Covers the requiredpack_sequences,eos_id,pad_id, andblocks_per_epochparameters, the shape and meaning ofinput_idsanddoc_ids, the padding-mask caveat, and how packing state carries through checkpoints. Adds a short code example alongside the existing streaming data loader guide. Triggered by lancedb/lancedb#3920.Changes
docs/training/index.mdx, placed before checkpointing so packing state is a natural lead-in tostate_dict()/load_state_dict().pack_sequences,eos_id,pad_id,blocks_per_epoch) plus the"auto"budget mode.doc_idsis not a padding mask; padding must be masked viainput_ids == pad_id.transform.