Update README.md

README.md

@@ -12,30 +12,32 @@ pipeline_tag: image-classification
 datasets: tarekziade/docornot
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
 
-# results
+
+# Results
 
 This model is a fine-tuned version of [facebook/deit-tiny-distilled-patch16-224](https://huggingface.co/facebook/deit-tiny-distilled-patch16-224) on the [docornot](https://huggingface.co/datasets/tarekziade/docornot) dataset.
+
 It achieves the following results on the evaluation set:
 - Loss: 0.0000
 - Accuracy: 1.0
 
-## Model description
 
-More information needed
 
-## Intended uses & limitations
 
-More information needed
+## Model description
+
+This model is distilled Vision Transformer (ViT) model. 
+Images are presented to the model as a sequence of fixed-size patches (resolution 16x16), which are linearly embedded. 
 
-## Training and evaluation data
+## Intended uses & limitations
 
-More information needed
+You can use this model to detect if an image is a picture or a document.
 
 ## Training procedure
 
+Source code used to generate this model : https://github.com/tarekziade/docornot
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: