Update README.md

README.md

@@ -46,7 +46,7 @@ The model we are finetuning, microsoft/swin-large-patch4-window12-384-in22k, was
 #### Preprocessing
 
 Data augmentation was applied to the training data in a custom Torch dataset class. Because of the size of the dataset, images were not replaced but were duplicated and augmented.
-The only augmentations applied were HorizontalFlips and Rotations (10 degrees) to align with the relatively homogenous dataset.
+The only augmentations applied were HorizontalFlips and Rotations (10 degrees) to align with the relatively homogeneous dataset.
 
 # Finetuning
 Finetuning was done on some 50 different models including different VTs and CNNs. All models were trained for 10 epochs with the best model, based on the evaluation acccuracy,