Hello everyone,
I've been experimenting lately with nnet and nnet2 trainig.
In the end of nnet logs for each training epoch I can see FRAME_ACCURACY.
How to evaluate same FRAME_ACCURACY for epoch of nnet2 training?
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Hello everyone,
I've been experimenting lately with nnet and nnet2 trainig.
In the end of nnet logs for each training epoch I can see FRAME_ACCURACY.
How to evaluate same FRAME_ACCURACY for epoch of nnet2 training?
LOG (nnet-compute-prob:main():nnet-compute-prob.cc:91) Saw 4000 examples, average probability is -6.45728 and accuracy is 0.189 with total weight 4000
-6.45728
Is that so?
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
LOG (nnet-compute-prob:main():nnet-compute-prob.cc:91) Saw 4000 examples,
average probability is -6.45728 and accuracy is 0.189 with total weight 4000
-6.45728
Hello everyone,
I've been experimenting lately with nnet and nnet2 trainig.
In the end of nnet logs for each training epoch I can see FRAME_ACCURACY.
How to evaluate same FRAME_ACCURACY for epoch of nnet2 training?
I believe it's printed out the the logs in compute_prob_train.XX.log
and compute_prob_valid.XX.log
Dan
On Wed, May 27, 2015 at 7:25 AM, JTDamaja jtdamaja@users.sf.net wrote:
Thanks for your quick response
That is, "accuracy is 0.189" == FRAME_ACCURACY?
LOG (nnet-compute-prob:main():nnet-compute-prob.cc:91) Saw 4000 examples, average probability is -6.45728 and accuracy is 0.189 with total weight 4000
-6.45728
Is that so?
yes.
On Thu, May 28, 2015 at 4:39 AM, JTDamaja jtdamaja@users.sf.net wrote:
Thank you very much