Example file
LiangYuzhi opened this issue · 7 comments
Is there any runnable example? I've change the code a little bit and tried to run it, but the error rate is unreasonable high
You can download demo package from release section. It contains runnable examples.
What's command line did you run ? What's change did you make ? And what's the error rate before your changes ?
Thank you for your timely reply:)
The description of the demo package is 'To get the demo package, please access [DOWNLOADS] page and download the package', what is the download link?
Basically, I have a set of character embedding generated by word2vec, and let it as input of RNNSharp to do some Chinese segment task. It's similar to the task in this paper: http://arxiv.org/pdf/1404.4714.pdf
I've change the code as taking a matrix as input (though this is not necessary for this task, but I have following tasks has to take matrix rather than load word embedding as input). By setting breakpoint, I can see the data is loaded properly:
I used 4 tags 'S/B/M/E' as output, But the segmentation result is always BEBEBESBE/BEBEBEBE.
For training, I used
-layersize 50
-crf 1
LiangYuzhi, could you try without a crf?
Here, I couldn't find a input that crf works. I have the impression that or
it is not working well, or it expect an specific input that I haven't
figured out.
On Mar 10, 2016 2:04 AM, "LiangYuzhi" notifications@github.com wrote:
Thank you for your timely reply:)
The description of the demo package is 'To get the demo package, please
access [DOWNLOADS] page and download the package', what is the download
link?Basically, I have a set of character embedding generated by word2vec, and
let it as input of RNNSharp to do some Chinese segment task. It's similar
to the task in this paper: http://arxiv.org/pdf/1404.4714.pdfI've change the code as taking a matrix as input (though this is not
necessary for this task, but I have following tasks has to take matrix
rather than load word embedding as input). By setting breakpoint, I can see
the data is loaded properly:
[image: image]
https://cloud.githubusercontent.com/assets/17334812/13659059/4c5e98d6-e6b8-11e5-95df-6eda24bdd70b.pngI used 4 tags 'S/B/M/E' as output, But the segmentation result is always
BEBEBESBE/BEBEBEBE.For training, I used
-layersize 50
-crf 1—
Reply to this email directly or view it on GitHub
#10 (comment).
@LiangYuzhi Sorry that I didn't update readme file in time, you can get demo package from "release" section. It contains some demo as your example.
Which modeltype did you use ? SimpleRNN or LSTM ?
Which your entire command line ? Could you please show some information from log ?
@zhongkaifu I couldn't find a "release" section in this repository. +1 for adding an example file.
Hi bzaar,
You could get demo and example there: https://github.com/zhongkaifu/RNNSharp/releases
The error rate problem might be caused by my training set, this issue can be closed. Thanks