Stop CNN model at high accuracy and low loss rate?












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I train my CNN model with a large number of epochs, with each epoch I print the training loss and accuracy, but there is a lot of high and low in these two metrics, I want to do early stopping with for example loss at 0.2 and accuracy at %95 or more because I get this at more than one epoch, my question is:



1- is early stopping done on train set or validation set?



2- if on validation set, should I print validation loss and accuracy for each epoch with with a train set loss and accuracy?



3- can you give an idea to do early stopping with a piece of code but not in keras, because I use tensorflow not keras?






machine-learning python







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    0












    $begingroup$


    I train my CNN model with a large number of epochs, with each epoch I print the training loss and accuracy, but there is a lot of high and low in these two metrics, I want to do early stopping with for example loss at 0.2 and accuracy at %95 or more because I get this at more than one epoch, my question is:



    1- is early stopping done on train set or validation set?



    2- if on validation set, should I print validation loss and accuracy for each epoch with with a train set loss and accuracy?



    3- can you give an idea to do early stopping with a piece of code but not in keras, because I use tensorflow not keras?






    machine-learning python







    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I train my CNN model with a large number of epochs, with each epoch I print the training loss and accuracy, but there is a lot of high and low in these two metrics, I want to do early stopping with for example loss at 0.2 and accuracy at %95 or more because I get this at more than one epoch, my question is:



      1- is early stopping done on train set or validation set?



      2- if on validation set, should I print validation loss and accuracy for each epoch with with a train set loss and accuracy?



      3- can you give an idea to do early stopping with a piece of code but not in keras, because I use tensorflow not keras?






      machine-learning python







      share|improve this question









      $endgroup$




      I train my CNN model with a large number of epochs, with each epoch I print the training loss and accuracy, but there is a lot of high and low in these two metrics, I want to do early stopping with for example loss at 0.2 and accuracy at %95 or more because I get this at more than one epoch, my question is:



      1- is early stopping done on train set or validation set?



      2- if on validation set, should I print validation loss and accuracy for each epoch with with a train set loss and accuracy?



      3- can you give an idea to do early stopping with a piece of code but not in keras, because I use tensorflow not keras?






      machine-learning python




      machine-learning python






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 21 mins ago









      honar.cshonar.cs

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