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# bash it in root path | |
PYTHON_PATH='./' accelerate launch --multi_gpu --gpu_ids '0,1,2,3,4,5,6,7,8' --main_process_port 25000 --num_processes 8 train/instruction_tuning.py \ | |
--output_dir "/path/to/output/dir" \ | |
--train_batch_size 8 \ | |
--gradient_accumulation_steps 8 \ | |
--learning_rate 1e-4 \ | |
--text_loss_weight 0.2 \ | |
--max_grad_norm 10 \ | |
--pretrained_model_name_or_path "MeissonFlow/Meissonic" \ | |
--pretrained_transformer_path "MeissonFlow/Meissonic" \ | |
--text_encoder_architecture 'open_clip' \ | |
--dataset_type 'MultiSourceVLDataset' \ | |
--instance_data_dir '/path/to/data' \ | |
--llava_json_path '/path/to/llava_instruct_150k.json' \ | |
--llava_image_root '/path/to/coco/train2017' \ | |
--resolution 512 \ | |
--mixed_precision fp16 \ | |
--lr_scheduler constant \ | |
--use_8bit_adam \ | |
--dataloader_num_workers 4 \ | |
--validation_prompts \ | |
'a boy' \ | |
'A serene mountain landscape with towering snow-capped peaks, a crystal-clear blue lake reflecting the mountains, dense pine forests, and a vibrant orange sunrise illuminating the sky.' \ | |
'A playful golden retriever puppy with a shiny coat, bounding through a meadow filled with colorful wildflowers, under a bright, clear blue sky.' \ | |
'A bustling city street at night, illuminated by vibrant neon signs in various colors, with busy pedestrians, street vendors, and a light rain creating reflective puddles on the pavement.' \ | |
'A majestic, medieval castle perched on a rugged cliffside, overlooking a vast, calm ocean at sunset, with the sky painted in hues of pink, orange, and purple.' \ | |
'An elegant ballerina in a white tutu, dancing gracefully on a grand stage with ornate, gold-trimmed curtains, under a spotlight that casts a soft glow.' \ | |
'A cozy, rustic log cabin nestled in a snow-covered forest, with smoke rising from the stone chimney, warm lights glowing from the windows, and a path of footprints leading to the front door.'\ | |
'A Cute Cat' \ | |
'A Snow Mountain'\ | |
--validation_images '/path/to/validation/images/dir' \ | |
--validation_vqa_prompts 'Please describe this image.' \ | |
--max_train_steps 100000 \ | |
--checkpointing_steps 100 \ | |
--validation_steps 100 \ | |
--report_to 'wandb' \ | |
--logging_steps 10 |