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README.md

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 ## CIFAR-10 Results
-In our ImageNet experiment, we aimed to assess the performance of Mice ViTs on a more complex and diverse dataset, CIFAR-10. We trained mice ViTs on classifying the 10 classes.
+In our CIFAR-10 experiment, we aimed to assess the performance of Mice ViTs on a more complex and diverse dataset, CIFAR-10. We trained mice ViTs on classifying the 10 classes.
 
 ## Training Details
 For each attention layer setting, we explored two model variants: an attention-only model and a model combining attention with the MLP module. Dropout and layer normalization were not applied for simplicity.