Comments (3)
glample
commented on July 29, 2024
1
If you train a model on 100 languages, you probably don't want to evaluate how well it performs on all of them during training, as computing the average perplexity of all languages at the end of an epoch will take forever. The idea is to do that during training, then evaluate without the hack once the model is trained.
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yilinyang7
commented on July 29, 2024
If you train a model on 100 languages, you probably don't want to evaluate how well it performs on all of them during training, as computing the average perplexity of all languages at the end of an epoch will take forever. The idea is to do that during training, then evaluate without the hack once the model is trained.
Thanks for the explanation. Then I guess the first assignment of eval_lgs is removable.
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glample
commented on July 29, 2024
Yes. And this entire code is removable if you are not planning to use more than 30 languages.
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