W2 - Creating the mask for masked_accuracy Exercise 5

[Deepti_Prasad]

C3W2: Exercise 2,5 and error

Hi @Juan_David_Vargas_Al This error message is a bit misleading since it “Expected” and “Got” do not match because of -1 and 0, but not because -1 are not “post”. So make sure you use pad value of -1 (and also how your label_ids are constructed). As for Exercise 5 and the mask creation - you need to check if the labels (the y_true) do not equal -1. One way of doing it could be (y_true != -1) which would return a boolean tensor which later you would need to cast to tf.float32) and that would b…

Updated NER: masked_accuracy function

Hi @mats! Are you passing the axis argument in tf.math.argmax? If you do not pass the axis argument, it is default to 0, which means you are performing the argmax across the columns and this is not what you want. Furthermore, I would like just to point that the mask should indicate the values that are different from -1 and not equal to -1, otherwise you will be removing the non masked values after masking. Please, tell me if this helps. Cheers, Lucas

You need to use tf.math.argmax