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Code and resource of "FinEntity: Entity-level Sentiment Classification for Financial Texts" EMNLP 2023
Thanks for your research and it is a breakthrough to have a entity level sentiment dataset for financial domain.
After reading the paper, I try to reproduce the results of Table 3 for FinBERT-CRF.
But I got train loss of nan (probably infinite) when running bert_crf_train.ipynb without making any changes. Would you mind advising the way to reproduce it?
Another question related to this is whether the result is on unseen testing set or validation set, which is used for hyperparameter search, because there is only "validate_dataset" inside bert_crf_train.ipynb without testing set.
My Library version
torch: 2.2.2+cu121
transformers: 4.39.3
Thank you
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