This is a fine tuned model on the translation-classify dataset to classify whether we should translate an example.
It achieves 94% accuracy on validation dataset.

Some question when translated does not remain meaningful/correct. The goal is to avoid such examples. This includes coding, word-count, spelling error detection etc. Take a look at dataset for examples