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Overall 966 652 263 314 0.7125683060109289 0.6749482401656315 0.6932482721956407
in the file locaed in "out_result_file" parameter.
I think it would be precision, recall, f1 score, but then I am not sure I can get 79.6 in this case(BioRED+8 datasets in your paper).
If I misunderstood something, please let me know.
And again, if you provide a specific parameters to reproduce the scores in the paper (including the baseline approaches like TL(Transfer learning) or MTL(Multi-Task Learning), it would be great help for me as well.
The text was updated successfully, but these errors were encountered:
The score that you display is a typed score, and is located in 'out_biorex_results.txt'
The score that is in our paper is the binary score, and located in 'out_biorex_bin_results.txt'
In the paper (https://arxiv.org/abs/2306.11189), you wrote the scores below. Can you kindly provide a way to reproduce this?
For example, with the model you provided in the repo BioREx PubMedBERT model (Original) and BioREx BioLinkBERT model (Preferred), what score can I get? And how can I get the score?
When I run with BioREx PubMedBERT model (Original) using the code you suggest
bash scripts/run_test_pred.sh
, I gotOverall 966 652 263 314 0.7125683060109289 0.6749482401656315 0.6932482721956407
in the file locaed in "out_result_file" parameter.
I think it would be precision, recall, f1 score, but then I am not sure I can get 79.6 in this case(BioRED+8 datasets in your paper).
If I misunderstood something, please let me know.
And again, if you provide a specific parameters to reproduce the scores in the paper (including the baseline approaches like TL(Transfer learning) or MTL(Multi-Task Learning), it would be great help for me as well.
The text was updated successfully, but these errors were encountered: