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DevSinghSachan / syntax-augmented-bert

Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
71 stars 10 forks source link

after running "bash run_tacred_relext.sh" #4

Open wfidditch opened 2 years ago

wfidditch commented 2 years ago

Hi, I found the following execution result after running the bash..

06/02/2022 08:20:12 - INFO - main - Evaluation Scores P (micro): 0.000%| R (micro): 0.000%| F1 (micro): 0.000% Test: P: 0.00 | R: 0.00 | F1 0.00

I add the partial script content as follows. I look forward to hearing from you. Thanks.

=================== 06/02/2022 08:20:07 - INFO - pytorch_transformers.modeling_utils - loading weights file ./tacred/pytorch_model.bin 06/02/2022 08:20:11 - INFO - main - Creating features from dataset file at ./checkpoints/2/tacred 06/02/2022 08:20:11 - INFO - utils.loader - Writing example 0 of 20 06/02/2022 08:20:11 - INFO - utils.loader - Example 06/02/2022 08:20:11 - INFO - utils.loader - guid: dev-0 06/02/2022 08:20:11 - INFO - utils.loader - tokens: [CLS] The Academy of Motion Picture Arts and Sciences awarded S ##U ##B ##J - P ##ER ##SO ##N - - who was married to O ##B ##J - T ##IT ##LE Julie Andrews - - an honorary lifetime achievement Oscar in 2004 . 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DevSinghSachan commented 2 years ago

Hi! Thanks! Can you check if you are training / evaluating on the full tacred dataset?

wfidditch commented 2 years ago

Hi, Thank you for your quick response.. I first executed the shell program of "download_bert_model.sh" and then "run_tacred_relext.sh". I found that there are sample datasets of tacred at the directory ./syntax-augmented-bert-master/datasets/tacred. (dev, test, train.json). I just try to run to figure out how it works...

Am I missing something?

Thanks

Seonho Kim

ᐧ

2022년 6월 2일 (목) 오후 7:58, Devendra Singh Sachan @.***>님이 작성:

Hi! Thanks! Can you check if you are training / evaluating on the full tacred dataset?

— Reply to this email directly, view it on GitHub https://github.com/DevSinghSachan/syntax-augmented-bert/issues/4#issuecomment-1144727467, or unsubscribe https://github.com/notifications/unsubscribe-auth/AEKMN5WNRF2ZRBXATNH7BP3VNCHUJANCNFSM5XUGOMPA . You are receiving this because you authored the thread.Message ID: @.***>

DevSinghSachan commented 2 years ago

Hi, Okay! These might contain just a small number of examples. For full training, you will have to get access to the complete TACRED dataset from here: https://nlp.stanford.edu/projects/tacred/ . If training on the full dataset, you should be able to better performance numbers matching the ones reported in our paper.