Implementation of https://arxiv.org/abs/1904.00962 for large batch, large learning rate training.
The paper doesn't specify clamp values for Ï•, so I use 10.
Bonus: TensorboardX logging (example below).
Try the sample
git clone [email protected]:cybertronai/pytorch-lamb.git
cd pytorch-lamb
pip install -e .
python test_lamb.py
tensorboard --logdir=runs
Sample results
At --lr=.02, the Adam optimizer is unable to train.
Red: python test_lamb.py --batch-size=512 --lr=.02 --wd=.01 --log-interval=30 --optimizer=adam
Blue: python test_lamb.py --batch-size=512 --lr=.02 --wd=.01 --log-interval=30 --optimizer=lamb
