Since the model is doing multi-label classification , does that mean the loss per each epoch as shown in the image above is the average loss obtained in classifying all the images ?
also what do the 1875 and 313 represent ?
Since the model is doing multi-label classification , does that mean the loss per each epoch as shown in the image above is the average loss obtained in classifying all the images ?
Yeah this is the average loss for the epoch for all images. I am wondering gif you are using early stopping so that a certain loss is achieved than the model training stops, and that is probably why you have 313 instead of 1875 as in the previous epochs.
Okay, thanks . but I am running 5 epochs with no early stopping.
I see, I am puzzled too. Maybe its doing validation or somekind of testing for some subset of images…
Yeah , seen it. It is testing after training . Thanks !
Hello @WILLIAM_AGYEKUM_ASIE ,
- You need to take 10 epochs. It’s given in the hint :
You must set your model to train for 10 epochs and the callback should fire before the 9th epoch for you to pass this assignment.
- and 1875 is the number of steps per epoch.
With regards,
Nilosree Sengupta
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