Update README.md

README.md

@@ -20,6 +20,9 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.7968976897689769
+language:
+- en
+pipeline_tag: image-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,16 +36,22 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.7969
 
 ## Model description
+- Model type: Language model
+- Language(s) (NLP): English
+- License: Apache 2.0
+- Related Model: google/vit-base-patch16-224-in21k
+- Original Checkpoints: google/vit-base-patch16-224-in21k
+- Resources for more information:
+[Research paper](https://arxiv.org/pdf/2210.11416.pdf)
 
-More information needed
 
 ## Intended uses & limitations
 
-More information needed
+This model can be used to classify what type of food in the image provided.
 
 ## Training and evaluation data
 
-More information needed
+The model was trained on food101 dataset with 80:20 train-test-split.
 
 ## Training procedure
 
@@ -75,4 +84,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.2
 - Pytorch 2.4.0+cu121
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1