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:
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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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: 0.5798
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- Accuracy: 0.7594
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.0967 | 1.0 | 130 | 0.9973 | 0.5414 |
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| 1.0161 | 2.0 | 260 | 0.9222 | 0.5789 |
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| 0.9472 | 3.0 | 390 | 0.8626 | 0.6391 |
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| 0.7532 | 4.0 | 520 | 0.7299 | 0.7143 |
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| 0.6792 | 5.0 | 650 | 0.6639 | 0.7068 |
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| 0.6645 | 6.0 | 780 | 0.6238 | 0.7218 |
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| 0.6056 | 7.0 | 910 | 0.6903 | 0.7444 |
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| 0.614 | 8.0 | 1040 | 0.6278 | 0.7068 |
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| 0.6298 | 9.0 | 1170 | 0.5370 | 0.7895 |
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| 0.5867 | 10.0 | 1300 | 0.5798 | 0.7594 |
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### Framework versions
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adapter_model.safetensors
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