text: Title: CORD-v2 accuracy much lower than the paper's results
  Body: Hello,
  
  I get surprisingly low results when running a test on `cord-v2`, in order to reproduce the paper's results. 
  
  I use the following command line `python3 test.py --pretrained_model_name_or_path "naver-clova-ix/donut-base-finetuned-cord-v2" --dataset "naver-clova-ix/cord-v2" --split "test"` and I get the following results: 
  
  `Total number of samples: 100, Tree Edit Distance (TED) based accuracy score: 0.17636126902335467, F1 accuracy score: 0.1259655377302436`, far from the expected 90% TED and 84% F1 score.
  
  I haven't changed anything in the code and I run my tests on a single V100 GPU. Have I missed something ?
  
  Thanks in advance
  