I wanna ask about some definition of training metrics DIET Classifiers
what is t_loss, i_acc, and e_f1? i dont know what is t, i, and e before the underscore mean
I believe t is test, i is intent, e is entity.
loss is the loss, acc is the accuracy, f1 is the F1 score.
So it’s showing you the loss, intent extraction accuracy, and entity extraction F1 score.
You can find detailed info on Rasa’s Algorithm Whiteboard.
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t_loss is total loss I assume.
i_loss - intent loss
e_loss - entity loss
t_loss = i_loss + e_loss + mask_loss
i_acc - intent accuracy
e_f1 - f1 score calculated on entity identification
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