Update README.md 😊

README.md

@@ -2,9 +2,16 @@
 license: apache-2.0
 tags:
 - generated_from_keras_callback
+- vision_transformer
 model-index:
 - name: Guldeniz/vit-base-patch16-224-in21k-lung_and_colon
   results: []
+language:
+- en
+metrics:
+- accuracy
+library_name: transformers
+pipeline_tag: image-classification
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -12,7 +19,7 @@ probably proofread and complete it, then remove this comment. -->
 
 # Guldeniz/vit-base-patch16-224-in21k-lung_and_colon
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on Lung and Colon Histopathological Images dataset. This dataset can be reach via [Kaggle](https://www.kaggle.com/datasets/andrewmvd/lung-and-colon-cancer-histopathological-images).
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0088
 - Train Accuracy: 1.0
@@ -57,4 +64,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.1
 - TensorFlow 2.12.0
 - Datasets 2.10.1
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3