I have a laptop with an RTX 4090 (16GB VRAM). What are the appropriate batch size and learning rate settings for training deep learning models?
The ACT official documentation provides optimization guidelines suggesting batch size configurations beyond 32. Current implementation achieves stable convergence at batch_size=32 with learning_rate=3e-5, though hardware constraints prevent scaling to recommended batch dimensions.
