Pretrained Alexnet: Training Parameters

I want to do Quantization Aware Training of Alexnet on the Imagenet dataset, going from f32 to int8, to leverage GPU support.

I am using the same model architecture as the pre-trained model in the Torch database.

However, to train the model, where can I find the training parameter information, if possible, used for the pre-trained model?

Thank you.