RAdam

On the Variance of the Adaptive Learning Rate and Beyond (by LiyuanLucasLiu)

RAdam Alternatives

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RAdam reviews and mentions

Posts with mentions or reviews of RAdam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-19.
  • [D] Why does a sudden increase in accuracy at a specific epoch in these model
    3 projects | /r/MachineLearning | 19 Dec 2021
    Code for https://arxiv.org/abs/1908.03265 found: https://github.com/LiyuanLucasLiu/RAdam
  • [D] How to pick a learning rate scheduler?
    1 project | /r/MachineLearning | 4 Aug 2021
    common practice is to include some type of annealing (cosine, linear, etc.), which makes intuitive sense. for adam/adamw, it's generally a good idea to include a warmup in the lr schedule, as the gradient distribution without the warmup can be distorted, leading to the optimizer being trapped in a bad local min. see this paper. there are also introduced in this paper and subsequent works (radam, ranger, and variants) that don't require a warmup stage to stabilize the gradients. i would say in general, if you're using adam/adamw, include a warmup and some annealing, either linear or cosine. if you're using radam/ranger/variants, you can skip the warmup. how many steps to use for warmup/annealing are probably problem specific, and require some hyperparam tuning to get optimimal results
  • Why is my loss choppy?
    2 projects | /r/reinforcementlearning | 1 Aug 2021
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Stats

Basic RAdam repo stats
4
2,512
0.0
over 2 years ago

LiyuanLucasLiu/RAdam is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of RAdam is Python.

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