CSV FILE

[CJPJ007]

ExtendedSumm/src/prepro/data_builder.py

Line 563 in cf9d74f

test_kws = pd.read_csv('csv_files/train_papers_sect8.csv')

Can you please tell how to get this csv file ??? Or if we are using json files then we can you use _format_to_bert function instead of format_to_bert function ???

[sajastu]

Hi @CJPJ007,

Thank you for reporting this! please see #3

Best,
Sajad

[CJPJ007]

Thanks that is working but can say something about screenshot attached here. It is taking too long to train. I am training in Google Colab.

[sajastu]

@CJPJ007, what is your virtual machine's specification on Colab? I've been training (and testing) the model on my machine and it works quite fine. The specifications are as follows: NVIDIA GeForce GTX 1080, 12GB memory. Would you please change the report_every training argument to 1 to see if the training is progressing?

[CJPJ007]

Google Colab VM's specification : GPU Tesla P100-PCIE-16GB, RAM 13GB. I changed that argument but no change training keeps at that Pdb only it is remaining in debugging mode only if I try to continue from there by passing unt. Then the following error is arisen :

[arnold-em]

report_every

can you slove this problem？
could you tell me how to slove
tks！！！！

[arnold-em]

Thanks that is working but can say something about screenshot attached here. It is taking too long to train. I am training in Google Colab.

hello friend，
are you solve this problem？
could you tell me how to do
thank you
best，
cht