#!/bin/bash

ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \
    LLaVA-NeXT/llava/train/train_mem.py \
    --deepspeed scripts/zero3.json \ 
    --model_name_or_path Qwen/Qwen2-7B-Instruct \ 
    --version qwen_1_5 \ 
    --data_path LLaVA-Pretrain/blip_laion_cc_sbu_558k.json \ 
    --image_folder LLaVA-Pretrain/images \ 
    --vision_tower openai/clip-vit-large-patch14-336 \ 
    --mm_tunable_parts=mm_mlp_adapter \ 
    --mm_vision_select_layer -2 \ 
    --mm_projector_type mlp2x_gelu \ 
    --mm_use_im_start_end False \ 
    --mm_use_im_patch_token False \ 
    --bf16 True \ 
    --output_dir Pangea/ckpts \ 
    --num_train_epochs 1 \ 
    --per_device_train_batch_size 16 \ 
    --per_device_eval_batch_size 4 \ 
    --gradient_accumulation_steps 1 \ 
    --evaluation_strategy no \ 
    --save_strategy no \ 
    --save_steps 50000 \ 
    --learning_rate 1e-3 \ 
    --weight_decay 0. \ 
    --warmup_ratio 0.03 \ 
    --lr_scheduler_type cosine \ 
    --logging_steps 1 \ 
    --tf32 True \ 
    --model_max_length 8192 \ 
    --gradient_checkpointing True \ 
    --dataloader_num_workers 16 \ 
    --lazy_preprocess True \ 
    --report_to wandb \ 
    --run_name pangea-pretrain