add link to CMAD

README.md

@@ -7,7 +7,8 @@ license: cc-by-nc-4.0
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 To be clear, this model is tailored to my image and video classification tasks, not to imagenet.
-I built EfficientNetV2.5 s to outperform the existing EfficientNet b0 to b4, EfficientNet b1 to b4 pruned (I pruned b4), and EfficientNetV2 t to l models, whether trained using TensorFlow or PyTorch, in terms of top-1 accuracy, efficiency, and robustness on my datasets and GVNS benchmarks.
+I built EfficientNetV2.5 s to outperform the existing EfficientNet b0 to b4, EfficientNet b1 to b4 pruned (I pruned b4), and EfficientNetV2 t to l models, whether trained using TensorFlow or PyTorch, 
+in terms of top-1 accuracy, efficiency, and robustness on my dataset and [CMAD benchmark](https://huggingface.co/datasets/aistrova/CMAD).
 
 ## Model Details
 - **Model tasks:** Image classification / video classification / feature backbone