Update README.md

README.md

@@ -30,13 +30,12 @@ For more details on running the model, check out the [UForm GitHub repository](h
 
 ## Evaluation
 
-For zero-shot ImageNet classification the model achieves Top-1 accuracy of 36.1% and Top-5 of 60.8%.
-On text-to-image retrieval it reaches 86% Recall@10 for Flickr:
+On text-to-image retrieval it reaches 94% Recall@10 for Flickr:
 
-| Dataset |  Recall@1 |  Recall@5 | Recall@10 |
-| :-------- | ------: | --------: | --------: |
+| Dataset   | Recall@1 | Recall@5 | Recall@10 |
+| :-------- | -------: | -------: | --------: |
 | Zero-Shot Flickr | 0.727 | 0.915 | 0.949 |
-| MS-COCO ¹ | 0.510 | 0.761 | 0.838 |
+| MS-COCO ¹        | 0.510 | 0.761 | 0.838 |
 
 > ¹ It's important to note, that the MS-COCO train split was present in the training data.