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MODEL_NAME_OR_PATH="/data/models/llava/llava-1.5-13b-hf" # model path
TRAIN_DATASETS="/data/align-anything/jiayi/ti2t/refine_gen_wo_res/1021_13b_2000" # dataset path
TRAIN_TEMPLATE="AA_TI2T_Critique" # dataset template
TRAIN_SPLIT="train" # split the dataset
PTX_DATASETS="/data/align-anything/jiayi/ti2t/ti-to-t-instruction-following"
PTX_TEMPLATE="AA_TI2T"
PTX_SPLIT="train"
OUTPUT_DIR="/data/align-anything/jiayi/ti2t/rm_10_22_ours_13b_2000/slice_2392" # output dir
export CUDA_HOME='/data/align-anything/miniconda3/envs/jy-s'
# For wandb online logging
export WANDB_API_KEY="c072b41ab5beb29a43942f29660da87354fd3612"
export NCCL_SOCKET_IFNAME="bond0.212"
# Source the setup script
source ./setup.sh
# Execute deepspeed command
deepspeed \
--hostfile ./hostfile \
--master_port ${MASTER_PORT} \
--module align_anything.trainers.text_image_to_text.dpo \
--model_name_or_path ${MODEL_NAME_OR_PATH} \
--train_datasets ${TRAIN_DATASETS} \
--train_template ${TRAIN_TEMPLATE} \
--train_split ${TRAIN_SPLIT} \
--ptx_datasets ${PTX_DATASETS} \
--ptx_template ${PTX_TEMPLATE} \
--ptx_split ${PTX_SPLIT} \
--output_dir ${OUTPUT_DIR} \
--save_interval 1200 \
--epochs 5
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