Update README.md

README.md

@@ -10,17 +10,21 @@ license: apache-2.0
 ## Model Details
 
 **Model Name:** Swin Transformer (swin_s3_base_224)
+
 **Architecture:** Swin Transformer
+
 **Pre-trained Model:** Swin Transformer Base (swin_base_patch4_window7_224)
-**Fine-tuning Dataset:** Foods-101
+
+**Fine-tuning Dataset:** Food-101
 
 ## Model Description
 
-This model is a fine-tuned version of the Swin Transformer Base model (swin_base_patch4_window7_224) on the Foods-101 dataset. The Swin Transformer is a powerful vision transformer architecture that introduces a hierarchical Swin Transformer block to efficiently model long-range dependencies in images.
+This model is a fine-tuned version of the Swin Transformer Base model (swin_base_patch4_window7_224) on the Foods-101 dataset. 
+The Swin Transformer is a powerful vision transformer architecture that introduces a hierarchical Swin Transformer block to efficiently model long-range dependencies in images.
 
-The pre-trained Swin Transformer Base model was fine-tuned on the Foods-101 dataset, which consists of 101 food categories with 101,000 images. The fine-tuning process involved updating the weights of the pre-trained model to adapt it to the food classification task.
+The pre-trained Swin Transformer Base model was fine-tuned on the Foods-101 dataset, which consists of 101 food categories. 
 
 ## Intended Use
 
-This fine-tuned model can be used for classifying food images into one of the 101 categories present in the Foods-101 dataset. It can be employed in various applications related to food recognition, dietary analysis, recipe recommendation systems, and mor
+This fine-tuned model can be used for classifying food images into one of the 101 categories present in the Foods-101 dataset. It can be employed in various applications related to food recognition, dietary analysis, recipe recommendation systems, and more