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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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