Update val.py `pad = 0.0 if task == 'speed' else 0.5`
diff --git a/val.py b/val.py
index 6a0c95ac5ee..2cd8eba8744 100644
--- a/val.py
+++ b/val.py
@@ -147,8 +147,9 @@ def run(data,
     if not training:
         if device.type != 'cpu':
             model(torch.zeros(1, 3, imgsz, imgsz).to(device).type_as(next(model.parameters())))  # run once
+        pad = 0.0 if task == 'speed' else 0.5
         task = task if task in ('train', 'val', 'test') else 'val'  # path to train/val/test images
-        dataloader = create_dataloader(data[task], imgsz, batch_size, gs, single_cls, pad=0.5, rect=True,
+        dataloader = create_dataloader(data[task], imgsz, batch_size, gs, single_cls, pad=pad, rect=True,
                                        prefix=colorstr(f'{task}: '))[0]
 
     seen = 0



## 🛠️ PR Summary

<sub>Made with ❤️ by [Ultralytics Actions](https://github.com/ultralytics/actions)<sub>

### 🌟 Summary
Improved dataloader padding configuration for speed tests in the YOLOv5 validation script.

### 📊 Key Changes
- Added a conditional statement to set padding to 0.0 specifically when the task is 'speed'.
- Ensured padding remains 0.5 for other tasks ('train', 'val', 'test') in the dataloader creation.

### 🎯 Purpose & Impact
- 🎯 **Purpose**: The change is designed to optimize the dataloader configuration for speed testing by reducing unnecessary padding that can affect performance measurements.
- 💡 **Impact**: This update will lead to more accurate speed benchmarks for users testing their YOLOv5 models, as it minimizes the computational load by eliminating excess padding during the speed test task. 

Model developers and users performing speed tests can expect more streamlined and precise performance metrics, aiding in the fine-tuning and evaluation of models.