Base LR is a type of learning rate used in machine learning. It is the starting point for training a model and is typically set to a small number such as 0.001 or 0.0001. The base LR is used to determine the step size for each iteration of the training process. By adjusting the base LR, the model can be trained faster or slower depending on the desired outcome. The base LR can also be adjusted to prevent overfitting or underfitting of the model. By adjusting the base LR, the model can be tuned to achieve the best performance.
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