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Output problem when changed the input and output sequence lengths #7
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Hi @vinaykumarbundla ,
Also take a look at dynamic RNNs which are now available in new Tensorflow version. |
Thanks for the Reply, |
Hi @vinaykumarbundla , Sorry for this late reply. To improve accuracy of your model the best thing to do is bucketing, basically you should split sentences in buckets by their length (for example: Bucket1 (1, 10), Bucket2 (10, 15), Bucket3 (15, 20), Bucket4 (20, 30), Bucket5 (30, 40)) and with every bucket train different model. Or check dynamic RNNs cause then you won't be restricted to use fixed length input sequences. |
Hi Nemzy,
I trained the code with same input_seq_length=15 , output_seq_len = 17 ,when I tested for small input sentences (which contains 6 words ) its giving correct output .If I gave more than 8 words then output is not getting correctly .
And one more i changed input_seq_length=21
output_seq_len=23
and tested then also same problem that is for smaller sentences its working properly and for bigger sentences its not working .can I know the reason for this problem?
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