Cheers 🎉

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small
 tags:
 - image-classification
 - generated_from_trainer
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ViT-NIH-Chest-X-ray-dataset-small
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
+This model is a fine-tuned version of [Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small](https://huggingface.co/Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small) on the Sohaibsoussi/NIH-Chest-X-ray-dataset-small dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2988
 - Accuracy: 0.2299