export WANDB_API_KEY="YOUR_API_KEY"

deepspeed  llava/train/train_mem.py \
    --adapter_enable True --bottleneck_size 256  --mm_projector_lr 2e-5 \
    --deepspeed scripts/zero3.json \
    --model_name_or_path Lin-Chen/ShareGPT4V-7B \
    --version v1 \
    --data_path datasets/scienceqa/train_sqa_llava.json \
    --image_folder datasets/scienceqa \
    --vision_tower Lin-Chen/ShareGPT4V-7B_Pretrained_vit-large336-l12 \
    --mm_projector_type mlp2x_gelu \
    --mm_vision_select_layer -2 \
    --mm_use_im_start_end False \
    --mm_use_im_patch_token False \
    --image_aspect_ratio pad \
    --group_by_modality_length False \
    --bf16 True \
    --output_dir checkpoints/sharegpt/sqa/sharegpt-sqa-adapter \
    --num_train_epochs 3 \
    --per_device_train_batch_size 64 \
    --per_device_eval_batch_size 4 \
    --gradient_accumulation_steps 1 \
    --evaluation_strategy "no" \
    --save_strategy "steps" \
    --save_steps 50000 \
    --save_total_limit 1 \
    --learning_rate 5e-5 \
    --weight_decay 0. \
    --warmup_ratio 0.03 \
    --lr_scheduler_type "cosine" \
    --logging_steps 1 \
    --model_max_length 2048 \
    --gradient_checkpointing True \
    --dataloader_num_workers 4 \
    --lazy_preprocess True \
    --report_to wandb