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README.md
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# vit-base-patch16-224-in21k-lora
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3400
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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# vit-base-patch16-224-in21k-lora
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on food101 dataset.
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It achieves the following results on the evaluation set:
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- trainable params: 667,493 || all params: 86,543,818 || trainable%: 0.7713
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- Loss: 0.3400
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### Training hyperparameters
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The following hyperparameters were used during training:
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