EMA FP32 assert classification bug fix (#9016)

* Return EMA float on classification val

* verbose val fix

* EMA check

classify/val.py

@@ -116,7 +116,7 @@ def run(
     if verbose:  # all classes
         LOGGER.info(f"{'Class':>24}{'Images':>12}{'top1_acc':>12}{'top5_acc':>12}")
         LOGGER.info(f"{'all':>24}{targets.shape[0]:>12}{top1:>12.3g}{top5:>12.3g}")
-        for i, c in enumerate(model.names):
+        for i, c in model.names.items():
             aci = acc[targets == i]
             top1i, top5i = aci.mean(0).tolist()
             LOGGER.info(f"{c:>24}{aci.shape[0]:>12}{top1i:>12.3g}{top5i:>12.3g}")
@@ -127,6 +127,7 @@ def run(
         LOGGER.info(f'Speed: %.1fms pre-process, %.1fms inference, %.1fms post-process per image at shape {shape}' % t)
         LOGGER.info(f"Results saved to {colorstr('bold', save_dir)}")
 
+    model.float()  # for training
     return top1, top5, loss