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This repository has been archived by the owner on Dec 29, 2022. It is now read-only.
Lots of exploratory research involves fine-tuning an existing model, looking at output, applying a model in a new way, etc. So, lots of people are really just training the same thing (for a week).
Additionally / alternatively, we from the user community could share trained models and results of different settings (at the moment I'm seeing what effect layer norm has on the big model...).
Would you please consider linking pre-trained models for each of the configurations in https://github.com/google/seq2seq/tree/master/example_configs from the docs?
Lots of exploratory research involves fine-tuning an existing model, looking at output, applying a model in a new way, etc. So, lots of people are really just training the same thing (for a week).
E.g., OpenNMT models are shared here: http://opennmt.net/Models/
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