the UNK problem

[nozomi233]

when i run "python run_summarization.py --mode=decode --data_path=/chunked/val_ --vocab_path=/vocab --log_root=*****/a/log/directory --exp_name=myexperiment" ,the generated summary is consist of UNK,could you please do me a favor?

[wxdwlai]

when i run "python run_summarization.py --mode=decode --data_path=****/chunked/val__ --vocab_path=****__/vocab --log_root=_*****/a/log/directory --exp_name=myexperiment" ,the generated summary is consist of UNK,could you please do me a favor?

I have met the same problem as you? Have you fixed this problem?

[zjshan]

when i run "python run_summarization.py --mode=decode --data_path=****/chunked/val__ --vocab_path=****__/vocab --log_root=_*****/a/log/directory --exp_name=myexperiment" ,the generated summary is consist of UNK,could you please do me a favor?

I have met the same problem as you? Have you fixed this problem?

Have you solve the problem? I have met the problem,too.

[maham-collab]

when i run "python run_summarization.py --mode=decode --data_path=****/chunked/val__ --vocab_path=****__/vocab --log_root=_*****/a/log/directory --exp_name=myexperiment" ,the generated summary is consist of UNK,could you please do me a favor?

I have met the same problem as you? Have you fixed this problem?

Have you solve the problem? I have met the problem,too.

Same Problem my generated summary look like this on 6 loss :
[UNK] [UNK] , , , , to to to . the . the . the . the . the . the . the . the . the . the . the . the . the

[Abekaesh]

I am getting only [UNK] [UNK] [UNK] in generated summary on model having 4.3 loss
Do we need to train for long time or is this any other issue?