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[D] Whats the best explanation of accuracy_per_sequence when evaluating transformer model in Tensorflow?

[D] Whats the best explanation of accuracy_per_sequence when evaluating transformer model in Tensorflow?

Hello!

I’m looking for a good detailed explanation of the evaluation metric: Accuracy_per_sequence as displayed when training the transformer network https://github.com/tensorflow/models/tree/master/official/transformer

Here is the tensorboard output:

https://i.redd.it/wydu5wvqc1m31.png

I’m assuming it refers to accuracy of sequences per step?

I’m familiar with Top-5 accuracy and such but haven’t found a good explanation of Accuracy per sequence.

Appreciate the help, Thanks!

J

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.