### Tracking system resource utilization during training with the Weights & Biases Dashboard` The Weights & Biases (wandb) Dashboard provides a centralized place to track system utilization during training, offering valuable insights into the training bottleneck and possible ways to uplift it. The dashboard displays 8 graphs, including CPU%, Memory%, Disk%, Network tx/rx bytes, GPU%, Temp (C), GPU Memory Access %, and GPU Memory Allocated %. These metrics help identify performance issues, such as high memory access or GPU utilization percentages, which can be optimized by adjusting training parameters, like batch size. Running experiments with real data also reveals changes in system utilization, highlighting the impact of data augmentation on CPU usage. The dashboard provides a comprehensive overview of system resource utilization during training, enabling users to optimize their machine learning experiments and improve overall performance.