[BUG]如何实现transformers、DeepSpeed单机多GPU训练、学习率使用cosine方法？

Describe the bug
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训练过程中默认使用了deepspeed配置文件中的WarmupLR方式，通过搜索一些资料，若是希望实现cosine方法调整学习率，deepspeed配置文件删除scheduler即可，操作后训练报错：ValueError: You cannot create a DummyScheduler without specifying a scheduler in the config file.，定位至源码，报错原因就是配置文件中删除了scheduler部分，请问该如何实现呢？
transformer版本为4.34.0.
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System info (please complete the following information):

• OS: [e.g. Ubuntu 18.04]
• GPU count and types [e.g. two machines with x8 A100s each]
• Interconnects (if applicable) [e.g., two machines connected with 100 Gbps IB]
• Python version
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Start by reproducing the failure with Transformers 4.34.0, the reported DeepSpeed configuration, and single-machine multi-GPU training. Inspect the scheduler configuration path that raises the DummyScheduler error, then verify that cosine learning-rate training starts successfully and document the required configuration.