[question] What datasets are used in the training of stt eu model?
Also, did you use nemo text normalization for text preprocessing? If yes, did you use only it? > Hi. I'm interested what datasets did you use for this model? https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_multilingual_fastconformer_hybrid_large_pc_blend_eu

We used a combination of the train sets used to train English, Spanish, French and German monolingual models.  > Also, did you use nemo text normalization for text preprocessing? If yes, did you use only it?

i believe so.  thank you for answering

Its interesting, because we tried to resume the training (with NeMo) on the same dataset and load from pretrained nemo, and the training improves on validation set, but deteriorates on fleurs test set. Thats why we thought maybe you used other cleaning or processing of the text label. Hello, I see this is essentially a duplicate of https://github.com/NVIDIA/NeMo/issues/10122, which I have answered. I hope we have been able to help you. Can I mark both these issues closed? Yes, thank you for answering


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Hi. I'm interested what datasets did you use for this model?
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_multilingual_fastconformer_hybrid_large_pc_blend_eu