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@@ -32,15 +32,12 @@ This is a fine-tuned deit_small_patch16_224 model trained on CUB-200-2011 from t
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  - L1: 0.01
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  - Orthogonal: 0.001
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  - Coherence: 0.003
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- - Training set size: 5994
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- - Push set size: N/A
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- - Test set size: 5794
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  - Batch size: 128
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  ## Dataset Description
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  Fine-grained bird species classification dataset with 200 different bird species
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- Dataset link: https://www.kaggle.com/datasets/hereisburak/pins-face-recognition
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  ## Usage
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@@ -63,4 +60,7 @@ predicted_label = outputs.logits.argmax(-1).item()
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  ## Additional Information
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- For more details about the implementation and training process, please visit the [GitHub repository](https://github.com/ayushnangia/ProtoViT).
 
 
 
 
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  - L1: 0.01
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  - Orthogonal: 0.001
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  - Coherence: 0.003
 
 
 
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  - Batch size: 128
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  ## Dataset Description
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  Fine-grained bird species classification dataset with 200 different bird species
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+ Dataset link: https://www.vision.caltech.edu/datasets/cub_200_2011/
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  ## Usage
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  ## Additional Information
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+ Github repo by authors of the paper ![GitHub repository][https://github.com/Henrymachiyu/ProtoViT]
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+ For more details about the implementation and training process, please visit the my fork of ProtoVit ![GitHub repository][https://github.com/ayushnangia/ProtoViT].
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