Batch Size Info

Caution

Batch Size effects are not always as expected if your GPU can handle “Bigger is better”.

Larger batch size doesn’t always mean faster training:

Ensure that your GPU utilization is optimal by monitoring the GPU usage and adjusting the batch size so it’s large enough to fully utilize your GPU memory without causing excessive overhead. Analyze if there are bottlenecks elsewhere in your training pipeline, such as data loading. Efficient data loading is essential to keep the GPU consistently fed with data. Consider using mixed-precision training if you are not doing so already, as it can result in faster computations and reduced memory usage.

Read more in the Github.