Issue encountered while training the cord-v2

[lfy3083]

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.