Update README.md

README.md

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 This model was finetuned for the "Feather in Focus!" Kaggle competition of the Information Studies Master's Applied Machine Learning course at the University of Amsterdam.
 The goal of the competition was to apply novel approaches to achieve the highest possible accuracy on a bird classification task with 200 classes.
-We were given a labeled dataset of 3,926 images and an unlabeled dataset of 4,000 test images.
-Out of 32 groups and 1,083 submissions, we achieved the #1 accuracy on the test set with a score of 0.87950.
+We were given a labeled dataset of 3926 images and an unlabeled dataset of 4000 test images.
+Out of 32 groups and 1083 submissions, we achieved the #1 accuracy on the test set with a score of 0.87950.
 
 ### Training Details
 The model we are finetuning, microsoft/swin-large-patch4-window12-384-in22k, was pre-trained on imagenet-21k, see https://huggingface.co/microsoft/swin-large-patch4-window12-384-in22k.