HAMMALE
/

vit-tiny-classifier-rvlcdip

Image Classification

document-classification

knowledge-distillation

distilled-model

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HAMMALE commited on Jun 28

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@@ -30,7 +30,7 @@ This model is a compressed Vision Transformer (ViT-Tiny) trained using knowledge
 - **Parameters**: ~5.5M (55x smaller than teacher)
 - **Dataset**: RVL-CDIP (320k document images, 16 classes)
 - **Task**: Document Image Classification
-- **Accuracy**: To be evaluated
 - **Compression Ratio**: ~55x parameter reduction from teacher model
 ## Document Classes

 - **Parameters**: ~5.5M (55x smaller than teacher)
 - **Dataset**: RVL-CDIP (320k document images, 16 classes)
 - **Task**: Document Image Classification
+- **Accuracy**: 0.9210
 - **Compression Ratio**: ~55x parameter reduction from teacher model
 ## Document Classes