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View Code? Open in Web Editor NEWGPT-3: Language Models are Few-Shot Learners
Home Page: https://arxiv.org/abs/2005.14165
GPT-3: Language Models are Few-Shot Learners
Home Page: https://arxiv.org/abs/2005.14165
it would be appreciated if there is a chinese model available
Great work by the OpenAI team! The paper does not discuss it, so I'll be the first to ask:
What's the release plan for the model definition & weights? Will it be tiered by size, like GPT-2?
You could increase GPT 3 accuracy by using Ranger, which combine state of the art optimizers + gradient centralization
https://github.com/lessw2020/Ranger-Deep-Learning-Optimizer
You seem to be using the Adam optimizer. It has been succeeded by RAdam (rectified Adam). Ranger will bring you this improvment and a lot more synergistic others, for free.
Hortogonally, you would probably benefit from Mish too instead of the one you use (Relu ?) but should be tested after Ranger as it could regress accuracy (even if unlikely)
https://github.com/digantamisra98/Mish
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