Update README.md

README.md

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 # vit_tickers_binaryclf
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cord dataset.
-It achieves the following results on the evaluation set:
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cord, rvl-cdip, visual-genome and an external receipt tickers dataset, to carry out Binary Classification (`ticket` vs `no_ticket`). 
+
+It achieves the following results on the evaluation set, which contain pictures from the above datasets in scanned, photography or mobile picture formats (color and grayscale):
 - Loss: 0.0116
 - F1: 0.9991