update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -13,7 +14,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: imagefolder
+      name: Indian-Food-Images
       type: imagefolder
       config: default
       split: train
@@ -21,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9415515409139213
+      value: 0.9373007438894793
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuned-SwinT-Indian-Food-Classification-v1
 
-This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
+This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the Indian-Food-Images dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2978
-- Accuracy: 0.9416
+- Loss: 0.2868
+- Accuracy: 0.9373
 
 ## Model description