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README.md
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- vision
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- generated_from_trainer
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datasets:
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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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type: image-classification
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dataset:
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name:
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type:
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args: default
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metrics:
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- name: Accuracy
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# convnext-base-224-22k-1k-orig-cats-vs-dogs
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This model is a fine-tuned version of [facebook/convnext-base-224-22k-1k](https://huggingface.co/facebook/convnext-base-224-22k-1k) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0103
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- Accuracy: 0.9973
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- vision
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- generated_from_trainer
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datasets:
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- cats_vs_dogs
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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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type: image-classification
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dataset:
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name: cats_vs_dogs
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type: cats_vs_dogs
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args: default
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metrics:
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- name: Accuracy
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# convnext-base-224-22k-1k-orig-cats-vs-dogs
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This model is a fine-tuned version of [facebook/convnext-base-224-22k-1k](https://huggingface.co/facebook/convnext-base-224-22k-1k) on the cats_vs_dogs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0103
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- Accuracy: 0.9973
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