Model save
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- adapter_model.safetensors +1 -1
README.md
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base_model: google/vit-base-patch16-224-in21k
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library_name: peft
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license: apache-2.0
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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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## Model description
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### Training results
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### Framework versions
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base_model: google/vit-base-patch16-224-in21k
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library_name: peft
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license: apache-2.0
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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: 1.0983
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- Accuracy: 0.3308
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6323 | 1.0 | 130 | 0.3851 | 0.8722 |
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| 0.4102 | 2.0 | 260 | 1.1072 | 0.6241 |
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| 0.8964 | 3.0 | 390 | 0.8284 | 0.6617 |
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| 1.155 | 4.0 | 520 | 1.1070 | 0.3383 |
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| 1.1069 | 5.0 | 650 | 1.1082 | 0.3308 |
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| 1.1748 | 6.0 | 780 | 1.1042 | 0.3308 |
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| 1.1514 | 7.0 | 910 | 1.1008 | 0.3308 |
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| 1.0956 | 8.0 | 1040 | 1.1005 | 0.3383 |
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| 1.1448 | 9.0 | 1170 | 1.1119 | 0.3308 |
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| 1.0991 | 10.0 | 1300 | 1.0983 | 0.3308 |
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### Framework versions
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adapter_model.safetensors
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