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modelscope--ms-swift/examples/megatron/multimodal/dense/dpo.sh
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# 4 * 50GiB 14s/it
PYTORCH_CUDA_ALLOC_CONF='expandable_segments:True' \
NPROC_PER_NODE=4 \
MAX_PIXELS=1003520 \
CUDA_VISIBLE_DEVICES=0,1,2,3 \
megatron rlhf \
--rlhf_type dpo \
--model Qwen/Qwen2.5-VL-7B-Instruct \
--save_safetensors true \
--dataset 'swift/RLAIF-V-Dataset#20000' \
--load_from_cache_file true \
--tuner_type full \
--tensor_model_parallel_size 4 \
--sequence_parallel true \
--freeze_llm false \
--freeze_vit true \
--freeze_aligner true \
--packing true \
--split_dataset_ratio 0.01 \
--micro_batch_size 1 \
--global_batch_size 4 \
--recompute_granularity full \
--recompute_method uniform \
--recompute_num_layers 1 \
--finetune true \
--cross_entropy_loss_fusion true \
--lr 1e-5 \
--lr_warmup_fraction 0.05 \
--min_lr 1e-6 \
--num_train_epochs 1 \
--output_dir megatron_output/Qwen2.5-VL-7B-Instruct \
--save_steps 200 \
--max_length 8192 \
--dataloader_num_workers 4 \
--no_save_optim true \
--no_save_rng true \
--dataset_num_proc 8 \
--attention_backend flash \
--rpo_alpha 0.1 \
--beta 0.1 \
--loss_type sigmoid