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fix links about papers
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sdbds authored Jan 30, 2024
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Expand Up @@ -156,7 +156,7 @@ supported_optimizers = get_supported_optimizers()
| LOMO | *Full Parameter Fine-tuning for Large Language Models with Limited Resources* | [github](https://github.com/OpenLMLab/LOMO) | <https://arxiv.org/abs/2306.09782> | [cite](https://github.com/OpenLMLab/LOMO#citation) |
| Tiger | *A Tight-fisted Optimizer, an optimizer that is extremely budget-conscious* | [github](https://github.com/bojone/tiger) | | [cite](https://github.com/bojone/tiger/blob/main/README_en.md#citation) |
| CAME | *Confidence-guided Adaptive Memory Efficient Optimization* | [github](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/CAME) | <https://aclanthology.org/2023.acl-long.243/> | [cite](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/CAME#citation) |
| WSAM | *Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term* | [github](https://github.com/intelligent-machine-learning/dlrover/blob/master/atorch/atorch/optimizers/wsam.py) | <https://arxiv.org/abs/2305.1581> | [cite](https://github.com/intelligent-machine-learning/dlrover) |
| WSAM | *Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term* | [github](https://github.com/intelligent-machine-learning/dlrover/blob/master/atorch/atorch/optimizers/wsam.py) | <https://arxiv.org/abs/2305.15817> | [cite](https://github.com/intelligent-machine-learning/dlrover) |

## Supported LR Scheduler

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