Update README.md

README.md

@@ -54,7 +54,7 @@ The encoder checkpoints come from Swin Trasnformer version pre-trained on ImageN
 The code used for training and evaluation is available at: https://github.com/laicsiifes/ved-transformer-caption-ptbr. In this work, Swin-DistilBERTimbau
 was trained together with its buddy [Swin-GPorTuguese-2](https://huggingface.co/laicsiifes/swin-gpt2-flickr30k-pt-br).
 
-Other models evaluated didn't achieve performance as high as Swin-DistilBERTimbau and Swin-GPorTuguese-2, namely: DeiT-BERTimbau,
+Other models evaluated did not perform as well as Swin-DistilBERTimbau and Swin-GPorTuguese-2, namely: DeiT-BERTimbau,
 DeiT-DistilBERTimbau, DeiT-GPorTuguese-2, Swin-BERTimbau, ViT-BERTimbau, ViT-DistilBERTimbau and ViT-GPorTuguese-2.
 
 ## 🧑‍💻 How to Get Started with the Model