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Error when running #Evaluate: #1
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Hi, |
Thanks for answering my question,
However, the problem I am wondering is, I used your colab code with my
dataset, but when I did the evaluation (#evaluate), I didn't know
"BERT_MODEL = 'fake-news.tar.gz' " where will it be obtained ?
Look forward to your help, thanks a lot!
Vào Th 3, 3 thg 11, 2020 vào lúc 17:47 ac4mm <notifications@github.com>
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Le Thi Thanh,
Infomation System Student
Hanoi University of Science and Technology
Phone: +84967374782
|
Hi, this file was created by two different dataset: AG_news and Fake_news (just look for them in Google), merged them and applied different operation for obtain what i wanted to achieve. these files pytorch_model.bin and config.json were obtained in detect_FN_with_BERT colab file, after processing were zipped in .tar and after .tar.gz format and used in step further on. |
"Code_colab":
#Evaluate
BERT_MODEL = 'fake-news.tar.gz', a = b, where did this come from???
So, I got this error:
ERROR:pytorch_pretrained_bert.modeling:Model name 'cache/fake-news.tar.gz' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese). We assumed 'cache/fake-news.tar.gz' was a path or url but couldn't find any file associated to this path or url.
I look forward to your explanation, thanks a lot!
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