Download scripts/train.sh from wangzeze/RAGNet: direct link, hf CLI and curl.
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https://huggingface.co/wangzeze/RAGNet/resolve/main/scripts/train.sh
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hf download hf://wangzeze/RAGNet/scripts/train.sh
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curl -L -o train.sh https://huggingface.co/wangzeze/RAGNet/resolve/main/scripts/train.sh
749 Bytes
| export PATH=/data/cuda/cuda-11.7/cuda/bin:$PATH | |
| export LD_LIBRARY_PATH=/data/cuda/cuda-11.7/cuda/lib64:$LD_LIBRARY_PATH | |
| deepspeed --include localhost:0,1,2,3,4,5,6,7 --master_port=23996 train_aff.py \ | |
| --version="./LLaVA/LLaVA-Lightning-7B-v1-1/" \ | |
| --vision_pretrained="ckpts/sam_vit_h_4b8939.pth" \ | |
| --dataset_dir='./data' \ | |
| --dataset="sem_seg||refer_seg||vqa||reason_seg||aff_seg||reason_aff" \ | |
| --sample_rates="3,1,1,1,9,3" \ | |
| --aff_seg_data="handal||openx||egoobjects||graspnet||rlbench" \ | |
| --aff_sample_rates='2,2,4,2,1' \ | |
| --reason_aff_data="handal_hard_reasoning||egoobjects_easy_reasoning||egoobjects_hard_reasoning" \ | |
| --reason_aff_sample_rates='1,1,1' \ | |
| --exp_name="AffordanceVLM-7B" \ | |
| --batch_size=40 \ | |
| --grad_accumulation_steps=1 \ | |
| --epochs=10 |