Model save
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README.md
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metrics:
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- accuracy
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tags:
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- image-classification
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- vision
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- generated_from_trainer
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model-index:
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- name: only-lora-beans-vit-base-patch16-224-in21k
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# only-lora-beans-vit-base-patch16-224-in21k
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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.
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- Accuracy: 0.7895
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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metrics:
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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- name: only-lora-beans-vit-base-patch16-224-in21k
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# only-lora-beans-vit-base-patch16-224-in21k
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5903
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- Accuracy: 0.7895
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.1012 | 1.0 | 130 | 1.0128 | 0.5113 |
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| 1.0265 | 2.0 | 260 | 0.8760 | 0.6090 |
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| 0.9263 | 3.0 | 390 | 0.8892 | 0.6391 |
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| 0.7348 | 4.0 | 520 | 0.7198 | 0.7068 |
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| 0.6856 | 5.0 | 650 | 0.7358 | 0.7068 |
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| 0.728 | 6.0 | 780 | 0.6856 | 0.7218 |
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| 0.6221 | 7.0 | 910 | 0.8288 | 0.6917 |
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| 0.6347 | 8.0 | 1040 | 0.5765 | 0.7368 |
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| 0.6217 | 9.0 | 1170 | 0.5416 | 0.7744 |
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| 0.5615 | 10.0 | 1300 | 0.5903 | 0.7895 |
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### Framework versions
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adapter_model.safetensors
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size 17116668
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