add character

README.md

@@ -61,4 +61,4 @@ model = torch.load(model_name)
 # Top-1 Accuracy Comparisons
 `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. 
+I will publish the detailed report in another model repository, including the link to the GVNS benchmarks.