Open dikshant2210 opened 6 years ago
I also have the same problem, did you fix it by any chance? I was thinking it might be because I only trained it for 12k epochs but I would still expect short answer rather than https://scontent-amt2-1.xx.fbcdn.net/v/t1.0-9/30697628_10214128158190577_121012735084331008_o.png?_nc_cat=0&oh=3796763b6a1f131daa2c9b811ded5b76&oe=5B586EDA
Try increasing the vocabulary size. It worked for me .
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On Apr 11, 2018, at 11:43 AM, Nicola Gheza notifications@github.com<mailto:notifications@github.com> wrote:
I also have the same problem, did you fix it by any chance? I was thinking it might be because I only trained it for 12k epochs but I would still expect short answer rather than https://scontent-amt2-1.xx.fbcdn.net/v/t1.0-9/30697628_10214128158190577_121012735084331008_o.png?_nc_cat=0&oh=3796763b6a1f131daa2c9b811ded5b76&oe=5B586EDA
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How did you increase the vocabulary size?
xvocab_size = len(metadata['idx2w'])
yvocab_size = xvocab_size
I am using this. And whit a simple query such as "What is your name?" I get back: "sucked800kitchenburgersburgersburgersburgersskipskipskipskipskipskipskipregisterregisterregisteryesyesyes"
try bigger training dataset
While running the notebook for twitter chatbot I got output which are repetitive and use only four or five tokens from vocab. For e.g. most of my responses were like: i i i you you i i you