hanluzhi0429@gmail.com
70 lines
2.1 KiB
Bash
70 lines
2.1 KiB
Bash
export OMP_NUM_THREADS=8
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export NCCL_IB_DISABLE=0
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export NCCL_IB_GID_INDEX=3
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# export NCCL_IB_HCA=${ARNOLD_RDMA_DEVICE}
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export NCCL_SOCKET_IFNAME=eth0
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export NCCL_DEBUG=INFO
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VISION_MODEL_VERSION="google/siglip-so400m-patch14-384"
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VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
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# DPO Stage
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PROMPT_VERSION="qwen_1_5"
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SFT_MODEL="lmms-lab/llava-onevision-qwen2-7b-ov"
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EPOCH=1
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beta=0.1
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DPO_RUN_NAME="llava-onevision-qwen2-7b-ov_dpo-beta${beta}-epoch${EPOCH}"
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DPO_CLEAN_NAME="${DPO_RUN_NAME##*/}"
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OUTPUT_DIR="<your-output-folder>/${DPO_CLEAN_NAME}"
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DATA_PATH="<your-data-path>"
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echo $DPO_RUN_NAME
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ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \
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llava/train/train_dpo.py \
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--deepspeed scripts/zero3.json \
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--model_name_or_path=${SFT_MODEL} \
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--dpo_alpha=1.0 \
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--beta=${beta} \
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--gamma=0 \
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--version $PROMPT_VERSION \
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--data_path=$DATA_PATH \
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--image_folder "<your-image-folder>" \
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--mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \
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--unfreeze_mm_vision_tower True \
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--vision_tower ${VISION_MODEL_VERSION} \
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--mm_projector_type mlp2x_gelu \
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--mm_vision_select_layer -2 \
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--mm_use_im_start_end False \
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--mm_use_im_patch_token False \
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--group_by_modality_length True \
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--image_aspect_ratio anyres_max_9 \
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--image_grid_pinpoints "(1x1),...,(6x6)" \
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--mm_patch_merge_type spatial_unpad \
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--bf16 True \
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--run_name $DPO_CLEAN_NAME \
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--output_dir $OUTPUT_DIR \
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--num_train_epochs $EPOCH \
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--per_device_train_batch_size 1 \
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--per_device_eval_batch_size 1 \
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--gradient_accumulation_steps 8 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 1000 \
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--save_total_limit 1 \
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--learning_rate 5e-7 \
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--weight_decay 0. \
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--warmup_ratio 0.1 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--tf32 True \
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--model_max_length 32768 \
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--gradient_checkpointing True \
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--dataloader_num_workers 4 \
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--lazy_preprocess True \
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--report_to wandb \
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--dataloader_drop_last True
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