hanluzhi0429@gmail.com
68 lines
2.4 KiB
Bash
68 lines
2.4 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_SOCKET_IFNAME=eth0
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export NCCL_DEBUG=INFO
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LLM_VERSION="Qwen/Qwen2-7B-Instruct"
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LLM_VERSION_CLEAN="${LLM_VERSION//\//_}"
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VISION_MODEL_VERSION="google/siglip-so400m-patch14-384"
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VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
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############### Pretrain ################
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PROMPT_VERSION="qwen_1_5"
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BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain"
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echo "BASE_RUN_NAME: ${BASE_RUN_NAME}"
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CKPT_PATH=$LLM_VERSION # this could also be the previous stage checkpoint
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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_mem.py \
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--deepspeed scripts/zero3.json \
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--model_name_or_path ${CKPT_PATH} \
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--version ${PROMPT_VERSION} \
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--data_path=llava_1_6.json \
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--image_folder your_image_folder \
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--pretrain_mm_mlp_adapter="/checkpoints/projectors/${BASE_RUN_NAME}/mm_projector.bin" \
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--mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \
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--mm_vision_tower_lr=2e-6 \
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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 \
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--image_grid_pinpoints "[(384, 768), (768, 384), (768, 768), (1152, 384), (384, 1152)]" \
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--mm_patch_merge_type spatial_unpad \
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--bf16 True \
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--run_name $MID_RUN_NAME \
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--output_dir "/checkpoints/${MID_RUN_NAME}" \
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--num_train_epochs 1 \
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--per_device_train_batch_size 4 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 1 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 3000 \
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--save_total_limit 1 \
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--learning_rate 1e-5 \
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--weight_decay 0. \
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--warmup_ratio 0.03 \
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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 16 \
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--lazy_preprocess True \
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--report_to wandb \
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--torch_compile True \
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--torch_compile_backend "inductor" \
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--dataloader_drop_last True \
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--attn_implementation sdpa
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# You can delete the sdpa attn_implementation if you want to use flash attn
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