A toolkit for large scale distributed training
License: MIT License
A toolkit for large scale distributed training
With LARSER we succeeded to train DeBERTa 1.5B model without model parallelism. The DeBERTa 1.5B model is the SOAT model on GLUE and SuperGLUE leaderboard. And it's the first model that surpass T5 11B model and human performance on SuperGLUE leaderboard.
Could you possibly post a brief summary of the used approach? Or a link to a paper/article that discusses your approach?
I'm documenting the different approaches to training huge models here: huggingface/transformers#9766
Would love to add yours if you could share the approach you use.
Thank you very much!
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