You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi guys.
I have these two datasets. X_scaled.csv is my Input and Outputs.csv is my output(Not scaled).
I have built a neural network that predict each Outputs column. My model has two outputs: first one is for predicting P,I,O,N,A(dense(5, softmax))(I have used softmax since the sum of the vector should be one) then I used this output with the Inputs to get 20 outputs that left in Outputs.csv(Their sum should also be equal to 1 so I have used softmax again)..I have uploaded my jupyternotebook codes ins simple2.pdf
I have used cosin decay restart learning-scheduling and Huber loss but my loss stucked as you can see in these pics:
Also I have calculated the average norm of gradients on each 100 batches as you can see they decay fast
Also my prediction especially for 20 subsets are not that good:
I don't know what am I doing wrong?? Or I just hit the noise floor on my dataset?? Is it possible to train the network further??
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
Uh oh!
There was an error while loading. Please reload this page.
-
Outputs.csv
X_scaled.csv
Simple2.pdf
Hi guys.
I have these two datasets. X_scaled.csv is my Input and Outputs.csv is my output(Not scaled).
I have built a neural network that predict each Outputs column. My model has two outputs: first one is for predicting P,I,O,N,A(dense(5, softmax))(I have used softmax since the sum of the vector should be one) then I used this output with the Inputs to get 20 outputs that left in Outputs.csv(Their sum should also be equal to 1 so I have used softmax again)..I have uploaded my jupyternotebook codes ins simple2.pdf
I have used cosin decay restart learning-scheduling and Huber loss but my loss stucked as you can see in these pics:
Beta Was this translation helpful? Give feedback.
All reactions