LASER (a toolkit for Large scAle diStributEd tRaining)
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.
TODOs
- Add documentation and usage examples
git version: 57143200814583410acdd0c5ac0a0f8bab8a1f7e date: 2021-02-04 09:55:12.622124
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Release files for LASER 0.0.5
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| File | Interpreter | ABI | Platform | Reset |
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| LASER-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Release files / LASER-0.0.5-py3-none-any.whl
| Download URL | LASER-0.0.5-py3-none-any.whl |
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| Size | 22.2 kB |
| Tags | Python 3 |
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