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README.md

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+# finetuned-vit-doc-text-classifer
+
+This model is a fine-tuned version of Microsoft’s Swin Transformer tiny-sized model [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the ernie-ai/image-text-examples-ar-cn-latin-notext dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.267
+- Accuracy: 0.882
+
+## Model description
+
+It is an image classificatin model fine-tuned to predict whether an images contains text and if that text is Latin script, Chinese or Arabic. It also classifies non-text images.
+
+## Training and evaluation data
+
+Dataset: [ernie-ai/image-text-examples-ar-cn-latin-notext]
 
 # Model Trained Using AutoTrain