Why a new trainer instead of the original one? 请教一下为什么要新写一个llama_lr_scheduling_trainer，它的作用是什么，为什么不用原始trainer

[linyubupa]

如题

[Spico197]

感谢您对本项目的关注~ 我们在原有trainer的基础上增加了如下功能：

1. llama lr scheduling：transformers中的学习率衰减不支持设置最小学习率，我们在cosine scheduling的基础上扩展了最小学习率的支持。
2. 更多的tensorboard可视化项：为了增加训练时对gate的一些监控项（如gate load、importance、balance loss等等），只能修改原有的trainer。

Thanks for your attention~ We have added the following functionalities in the new trainer:

1. The lr scheduling in transformers does not support minimum learning rate. We extend the original lr scheduler to support min lr settings.
2. More tensorboard visualization items: to support more monitoring items like gate load, importance, balance loss, etc. We have to modify the original trainer.