Textsum model -Decode result is wrong

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Does anyone test the textsum code to get the perfect result?

Two days ago to see the message xtr33me made " #Textsum# - Incorrect decode results compared to ref file", I now test the situation and this is the same, I use the Chinese corpus, training to running_avg_loss = 0.00001 ,but I decoded the result is wrong,What is the reason?

If anyone can provide any help or direction, it would be greatly appreciated.

decode1480036683.txt

ref1480036683.txt

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xtr33me On

check out my latest response here: Textsum - Incorrect decode results compared to ref file

Essentially it all came down to getting more clean data, a little over 1.3million to be exact. Check out the post above should you wish for more of a detailed answer.