blip-3o / run.sh
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#!/bin/bash
conda activate blip3o
export HF_HOME=/HF/Home/
export OUTPUT_FOLDER=/Your/Model/Output/
export IMG_FOLDER=/Your/Image/Folder
torchrun --nproc_per_node=8 \
blip3o/train/train_mem.py \
--deepspeed ./deepspeed_scripts/zero1.json \
--model_name_or_path Qwen/Qwen2.5-VL-7B-Instruct \
--version qwen \
--data_type "mix" \
--image_folder ${IMG_FOLDER} \
--gen_vision_tower eva-clip-E-14-plus \
--gen_projector_type mlp2x_gelu \
--mm_projector_type mlp2x_gelu \
--mm_vision_select_layer -2 \
--mm_use_im_start_end False \
--mm_use_im_patch_token False \
--bf16 True \
--output_dir ${OUTPUT_FOLDER} \
--num_train_epochs 1 \
--per_device_train_batch_size 16 \
--per_device_eval_batch_size 4 \
--gradient_accumulation_steps 1 \
--eval_strategy "no" \
--save_strategy "steps" \
--save_steps 1000 \
--save_total_limit 1 \
--learning_rate 1e-4 \
--weight_decay 0. \
--warmup_ratio 0.003 \
--lr_scheduler_type "cosine_with_min_lr" \
--lr_scheduler_kwargs '{"min_lr":1e-5}' \
--model_max_length 512 \
--logging_steps 1 \
--tf32 True \
--gradient_checkpointing True \
--dataloader_num_workers 4 \
--lazy_preprocess True \
--gen_pooling early_pool2d_4 \
--n_query 64 \
--n_und_query 0 \
--report_to none \
--run_name blip3o_qwen_vl_7b