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@@ -7,14 +7,18 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: vit-base-oxford-iiit-pets-v2
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  results: []
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # vit-base-oxford-iiit-pets-v2
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
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  It achieves the following results on the evaluation set:
@@ -62,4 +66,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.44.0
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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- - Tokenizers 0.19.1
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: image-classification
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  results: []
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+ datasets:
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+ - pcuenq/oxford-pets
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Image Classification
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
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  It achieves the following results on the evaluation set:
 
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  - Transformers 4.44.0
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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+ - Tokenizers 0.19.1