semvec/pypi-packages huggingface dataset:
LRBench 0.0.0.1
A learning rate recommending and benchmarking tool.
Keywords: LEARNING RATE,TRAINING,DEEP LEARNING

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# LRBench
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## Introduction

A learning rate benchmarking and recommending tool, which will help practitioners efficiently select and compose good learning rate policies.

* Semi-automatic Learning Rate Tuning
* Evaluation: A set of Useful Metrics, covering Utility, Cost, and Robustness.
* Verification: Near-optimal Learning Rate

If you find this tool useful, please cite the following paper:

    @ARTICLE{lrbench2019,
      author = {{Wu}, Yanzhao and {Liu}, Ling and {Bae}, Juhyun and {Chow}, Ka-Ho and
      {Iyengar}, Arun and {Pu}, Calton and {Wei}, Wenqi and {Yu}, Lei and
      {Zhang}, Qi},
      title = "{Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks}",
      journal = {arXiv e-prints},
      keywords = {Computer Science - Machine Learning, Statistics - Machine Learning},
      year = "2019",
      month = "Aug",
      eid = {arXiv:1908.06477},
      pages = {arXiv:1908.06477},
      archivePrefix = {arXiv},
      eprint = {1908.06477},
      primaryClass = {cs.LG},
      adsurl = {https://ui.adsabs.harvard.edu/abs/2019arXiv190806477W},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
    }

## Problem


## Installation


## Supported Platforms


## Development / Contributing


## Issues


## Status


## Contributors

See the [people page](https://github.com/git-disl/LRBench/graphs/contributors) for the full listing of contributors.

## License

Copyright (c) 20XX-20XX [Georgia Tech DiSL](https://github.com/git-disl)  
Licensed under the [Apache License](LICENSE).