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The accuracy of validation becomes steady between 40-60 while the training accuracy is getting higher.
The loss is at first decreasing then starts increasing in validation.
Does that mean the model is learning or that the model is over fitting the data?
Hello all,
The accuracy of validation becomes steady between 40-60 while the training accuracy is getting higher.
The loss is at first decreasing then starts increasing in validation.
Does that mean the model is learning or that the model is over fitting the data?
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