doremi
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
Optimize data mixtures for training language models using a PyTorch implementation of the DoReMi algorithm.
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Free · no card · unsubscribe anytimePytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
doremi has 358 stars on GitHub. It has been forked 35 times. doremi is written mainly in HTML. It has been in active development since 2023. doremi is available under the MIT license. Its main topics are data-centric-machine-learning, large-language-models, nlp.
What is doremi?
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
Is doremi open source?
doremi is an open-source project. It is released under the MIT license.
Is doremi free?
Yes. doremi is free and open source — you can use, modify and self-host it.
What license does doremi use?
doremi is available under the MIT license.
What language is doremi written in?
doremi is written mainly in HTML.
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