Support customization of a few parameters in scripts/vlm/llava_next_pretrain

[bernardhan33]

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What does this PR do ?

Supports customization of num_workers, max_samples_per_sequence and shuffle_buffer_size in scripts/vlm/llava_next_pretrain.py.

Collection: vlm/core

Changelog

Supports customization of num_workers (defaults to 4), max_samples_per_sequence (defaults to 100) and shuffle_buffer_size (defaults to 100) in scripts/vlm/llava_next_pretrain.py.

Usage

torchrun --nproc_per_node=8 scripts/vlm/llava_next_pretrain.py \
  --devices=8 --tp=4 --data_type=energon --data_path='' \
  --num_workers=8 --max_samples_per_sequence=100 --shuffle_buffer_size=100 \
  --language_model_path=/root/.cache/nemo/models/lmsys/vicuna-7b-v1.5

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Additional Information

• Related to Support configuration of num_workers and max_samples_per_sequence in llava_next_pretrain #12195