[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?](https://b.thumbs.redditmedia.com/ZuOqE7NcRMbPQ_OhCdxXmZWE3Osm3jSlzBUaAUoEwCg.jpg "[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 submitted by /u/jimi_jimi_jimi_ |
