Issue encountered while training the cord-v2

When I train cord-v2（the pre-trained model used to train cord-v2 is the donut-base model.）, the validation process shows: ：Prediction: 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, ... Answer: <s_menu><s_nm>PREMIUM TOAST PAN BREAD</s_nm><s_cnt>1</s_cnt><s_price>24,000</s_price></s_menu><s_total><s_total_price>24,000</s_total_price><s_cashprice>24,000</s_cashprice><s_changeprice>0</s_changeprice></s_total> Normed ED: 0.9977146588312112 After training, the saved model is test2, and when I use the test2 model for inference, there are also garbled characters, and the accuracy is 0.012...., and I change the transformer version to 4.25.1 according to the solution proposed by previous questions and answers, and I can't solve the problem. My Python version is 3.10. Here is a list of my dependencies： Package Version ------------------------ ------------ absl-py 2.1.0 aiohttp 3.8.4 aiosignal 1.3.1 async-timeout 4.0.2 asynctest 0.13.0 attrs 23.1.0 certifi 2022.12.7 charset-normalizer 3.1.0 click 8.1.3 datasets 2.12.0 dill 0.3.6 filelock 3.12.0 frozenlist 1.3.3 fsspec 2023.1.0 grpcio 1.69.0 huggingface-hub 0.14.1 idna 3.4 importlib-metadata 6.6.0 Jinja2 3.1.5 joblib 1.2.0 lightning-utilities 0.8.0 Markdown 3.7 MarkupSafe 3.0.2 mpmath 1.3.0 multidict 6.0.4 multiprocess 0.70.14 munch 3.0.0 networkx 3.4.2 nltk 3.8.1 numpy 1.21.6 nvidia-cublas-cu11 11.10.3.66 nvidia-cublas-cu12 12.4.5.8 nvidia-cuda-cupti-cu12 12.4.127 nvidia-cuda-nvrtc-cu11 11.7.99 nvidia-cuda-nvrtc-cu12 12.4.127 nvidia-cuda-runtime-cu11 11.7.99 nvidia-cuda-runtime-cu12 12.4.127 nvidia-cudnn-cu11 8.5.0.96 nvidia-cudnn-cu12 9.1.0.70 nvidia-cufft-cu12 11.2.1.3 nvidia-curand-cu12 10.3.5.147 nvidia-cusolver-cu12 11.6.1.9 nvidia-cusparse-cu12 12.3.1.170 nvidia-nccl-cu12 2.21.5 nvidia-nvjitlink-cu12 12.4.127 nvidia-nvtx-cu12 12.4.127 packaging 23.1 pandas 1.3.5 Pillow 9.5.0 pip 22.3.1 propcache 0.2.1 protobuf 5.29.3 pyarrow 12.0.0 python-dateutil 2.9.0.post0 pytorch-lightning 2.2.1 pytz 2023.3 PyYAML 6.0 readline 6.2.4.1 regex 2024.11.6 requests 2.30.0 responses 0.18.0 ruamel.yaml 0.17.26 ruamel.yaml.clib 0.2.7 safetensors 0.3.1 sconf 0.2.5 sentencepiece 0.1.99 setuptools 65.6.3 six 1.16.0 sympy 1.13.1 tensorboard 2.18.0 tensorboard-data-server 0.7.2 timm 0.9.16 tk 0.1.0 tokenizers 0.13.3 torch 2.1.2+cu118 torchaudio 2.1.2+cu118 torchmetrics 1.6.1 torchvision 0.16.2+cu118 tqdm 4.65.0 transformers 4.25.1 triton 2.1.0 typing_extensions 4.12.2 tzdata 2024.2 urllib3 2.0.2 Werkzeug 3.1.3 wheel 0.38.4 xxhash 3.2.0 yarl 1.9.2 zipp 3.15.0 zss 1.2.0 Can anyone tell me what my problem is?Thank you very much for your help.