update comparisons

README.md

@@ -59,6 +59,6 @@ model = torch.load(model_name)
 ```
 
 # Top-1 Accuracy Comparisons
-I will publish the results in another model repository, including the link to the GVNS benchmark. 
+`efficientnet_b3_pruned` achieved the second highest top-1 accuracy as well as the highest epoch-1 training accuracy on my task, out of all previous EfficientNet models my 24 GB VRAM RTX 3090 could handle.
 
-Note that `efficientnet_b3_pruned` achieved the second highest top-1 accuracy as well as the highest epoch-1 training accuracy on my task, out of all previous EfficientNet models my 24 GB VRAM RTX 3090 could handle.
+I will publish the detailed report in another model repository, including the link to the GVNS benchmark.