Check the config file config.yaml
python train.py
python inference.py --dataset 2014
Not save MathBERTa's params
GPT-4V test on CROHME 2014 datasets done by JiaQi Han
If you aim to use this model for real-world applications, it's recommended to train on larger datasets. Finding data that matches your specific application scenario can greatly enhance the model's performance. Also, make sure to update vocabulary-related files, including 'words_dict.txt' and 'token.json'.
We would like to acknowledge the work done on SAN and its modified version CAN. Additionally, we have utilized MathBERTa in our work. These work have been valuable references for our project.