SwinTransformer_base_patch4_window7_224.yaml 673 B

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  1. Global:
  2. model: SwinTransformer_base_patch4_window7_224
  3. mode: check_dataset # check_dataset/train/evaluate
  4. dataset_dir: "/paddle/dataset/paddlex/cls/cls_flowers_examples"
  5. device: gpu:0,1,2,3
  6. output: "output"
  7. CheckDataset:
  8. dst_dataset_name: dataset
  9. convert:
  10. enable: False
  11. src_dataset_type: null
  12. split:
  13. enable: False
  14. train_percent: null
  15. val_percent: null
  16. Train:
  17. num_classes: 102
  18. epochs_iters: 20
  19. batch_size: 64
  20. learning_rate: 0.003
  21. pretrain_weight_path: null
  22. warmup_steps: 5
  23. resume_path: null
  24. log_interval: 1
  25. eval_interval: 1
  26. save_interval: 1
  27. Evaluate:
  28. weight_path: "output/best_model.pdparams"
  29. log_interval: 1