A Feature Swapping Multi-modal Reasoning Framework for PMR

Fold Structure

FSMR
├── a_transformers #code
├── clip #code
├── data_processing #code
├── local_transformers #code and the roberta-large checkpoint
├── modeling #code
├── utils #code
├── output #output path (generated after running)
│   └── checkpoint #checkpoints and log files
│   └── results #test result jsons
├── Checkpoints_and_Data #checkpoints and pre-processd PMR dataset
├── Multi-View-Reasoning-cold-start-1.pth #cold-start checkpoint
├── config.yaml #configuration
└── run_PMR_FSMR.py

Training

1. modify config.yaml

   • set do_train to True

   • modify output_dir

   # modify config.yaml as this
   do_train: True
   output_dir: ./output/checkpoint/output1/

2. run

   python run_PMR_FSMR.py

Testing

1. modify config.yaml

   • set do_train to False

   • modify eval_model_dir

   • modify result_dir

   # modify config.yaml as this
   do_train: False
   eval_model_dir: ./output/checkpoint/output1/FSMR-2-0.6326397919375812-1600.pth
   result_dir: ./output/results/output1/

2. run

   python run_PMR_FSMR.py