| # Example fine-tuning script for GraPHFormer | |
| python finetune.py \ | |
| --exp_name finetune_bil \ | |
| --dataset bil_6_classes \ | |
| --pretrained_checkpoint work_dir/graphformer_resnet18/model_best.pth \ | |
| --mode multimodal \ | |
| --fusion_mode concat \ | |
| --tree_model double \ | |
| --image_encoder dinov2_vits14 \ | |
| --image_size 252 \ | |
| --embed_dim 128 \ | |
| --h_size 256 \ | |
| --batch_size 64 \ | |
| --epochs 50 \ | |
| --lr 1e-4 \ | |
| --wd 0.01 \ | |
| --dropout 0.5 \ | |
| --label_smoothing 0.1 \ | |
| --linear_probe_epochs 10 \ | |
| --early_stopping_patience 10 \ | |
| --val_freq 1 \ | |
| --eval_mode accuracy | |