#!/bin/bash
export PYTHONPATH=$PYTHONPATH:`realpath .`
echo "pythonpath="$PYTHONPATH


export CUDA_VISIBLE_DEVICES="0,1,2,3"


 deepspeed llava/train/train_mem.py \
     --deepspeed ./scripts/zero3.json \
     --model_name_or_path  liuhaotian/llava-v1.6-vicuna-7b \
     --version v1 \
     --data_path ./playground/data/chip.parquet \
     --image_folder / \
     --vision_tower openai/clip-vit-large-patch14-336 \
     --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 True \
     --bf16 True \
     --output_dir ./ckpt/llava-v1.6-vicuna-7b-DataRlhfv5733-chip \
     --num_train_epochs 1 \
     --per_device_train_batch_size 1 \
     --per_device_eval_batch_size 4 \
     --gradient_accumulation_steps 8 \
     --evaluation_strategy "no" \
     --save_strategy "epoch" \
     --save_steps 35 \
     --save_total_limit 10 \
     --learning_rate 5e-7 \
     --weight_decay 0. \
     --warmup_ratio 0.03 \
     --lr_scheduler_type "cosine" \
     --logging_steps 1 \
     --tf32 True \
     --model_max_length 2048 \
     --gradient_checkpointing True \
     --max_grad_norm 20.0 \
     --dataloader_num_workers 4 \
     --lazy_preprocess True \
     --report_to wandb \
     --task DPO \
     --use_image_type diffusion \
     --diffusion_step 500 \
     --dpo_token_weighted True \
     --dpo_token_weight 4.0 \
     --use_cross_modal_loss True \
     --use_tdpo True \
     --tok_beta 0.1
