pytorch-lr-finder
The PyTorch learning rate finder implements the learning rate range test to identify optimal learning rates for neural networks. It linearly or exponentially adjusts the learning rate during a pre-training phase, aiding in training with cyclical learning rates. The tool supports gradient accumulation and mixed precision training, providing visual plots for precise learning rate adjustment, thereby optimizing model performance and speeding up convergence in an objective manner.
