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I wanna run jointEE-NN, but I met some problem. I want to know if you have encountered this problem and how to solve it.
my configuration:
ubuntu 16.04.10
python 2.7.6
theano 1.0.4 problem description:
/home/lab421/miniconda2/lib/python2.7/site-packages/theano/scan_module/scan_utils.py:485: UserWarning: Expected OrderedDict or OrderedUpdates, got <type 'dict'>. This can make your script non-deterministic. + str(type(elem)) + ". This can make your script non-" Experiment result:
maximum of length, numEntities, mNodeFets, mEdgeFets in the dataset: 89 31 102 107
vocabsize = 381 , numTrigger = 7 , numArg = 10 , nsentences = 52 , maxSentLength = 89 , maxNumEntities = 31 , word embeddings dim = 300
... number of batches: 2
building model ... FEATURES
@@@@@@@ Will update embedding table: word
represetation - word : 300
represetation - dep : 113
@@@@@@@ Will update embedding table: typeOneEntity
represetation - typeOneEntity : 50
REPRESENTATION DIMENSION = 463.
The text was updated successfully, but these errors were encountered:
@CaoJonas Have you solved this problem, and my env is : python==2.7.17, theano==0.7.0, but it encountered the same problem. I checked the code and found the problem is as with anoperson/jointEE-NN#7. The repo code lost the performace evalution script.
See below for details.
-------------------training in epoch: 0 -------------------------------------
epoch 0 >> 50.00% completed in 135.61 (sec) <<
NNScorer: 1: NNScorer: /home/zhangmohan/projects/jointEE/do: not found
evaluating in epoch: 0
------------------------------Current Performance-----------------------------
I wanna run jointEE-NN, but I met some problem. I want to know if you have encountered this problem and how to solve it.
my configuration:
ubuntu 16.04.10
python 2.7.6
theano 1.0.4
problem description:
/home/lab421/miniconda2/lib/python2.7/site-packages/theano/scan_module/scan_utils.py:485: UserWarning: Expected OrderedDict or OrderedUpdates, got <type 'dict'>. This can make your script non-deterministic. + str(type(elem)) + ". This can make your script non-"
Experiment result:
maximum of length, numEntities, mNodeFets, mEdgeFets in the dataset: 89 31 102 107
vocabsize = 381 , numTrigger = 7 , numArg = 10 , nsentences = 52 , maxSentLength = 89 , maxNumEntities = 31 , word embeddings dim = 300
... number of batches: 2
building model ...
FEATURES
@@@@@@@ Will update embedding table: word
represetation - word : 300
represetation - dep : 113
@@@@@@@ Will update embedding table: typeOneEntity
represetation - typeOneEntity : 50
REPRESENTATION DIMENSION = 463.
The text was updated successfully, but these errors were encountered: