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README.md
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metrics:
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- accuracy
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model-index:
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- name:
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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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#
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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
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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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| 69 |
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- Tokenizers 0.19.1
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