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README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-oxford-iiit-pets
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1992
 - Accuracy: 0.9350

runs/May18_15-05-00_umit-ubuntu/events.out.tfevents.1716034099.umit-ubuntu

@@ -1,3 +1,3 @@
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