why are all the test results the same?

[XiangChen1994]

I trained the network for 3320 epochs, but when I test the model the results are mostly the same, which show like below.
....
video => rl1rVk_xIOs_1_16.avi
generated_sentence => a man is playing a flute
reference => Children are dancing.
....
video => dfOuTx66bJU_34_39.avi
generated_sentence => a man is playing a flute
reference => A man walking down the street turns around, then turns back and starts jogging.
....
video => f9Won2JpOEU_60_80.avi
generated_sentence => a man is playing a flute
reference => A cat is laying down licking it's paw.
....
what is the reason for this situation?

[pochih]

There may be some bugs, let me check it.

[nayyeraafaq]

Hi, are you able to fix the bug ??
I am getting the same error. All the outputs are almost same and looks like network is not learning anything. The outputs are like "a a a is", "a a is is a", "a a is" etc. What's wrong with the model ??

[XiangChen1994]

I got the error because there are some problems in my OpenCV which caused the extracted features are wrong. It was solved after I changed my OpenCV.

[srilekha1993]

@nayyeraafaq i am also getting same captions like yours. did you solve this issue?