Model save
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- adapter_model.safetensors +1 -1
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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@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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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 Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- PEFT 0.12.
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- Transformers 4.44.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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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: 0.1528
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- Accuracy: 0.9474
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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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| 0.4846 | 1.0 | 130 | 0.0752 | 0.9624 |
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| 0.3473 | 2.0 | 260 | 0.1599 | 0.9549 |
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| 0.2953 | 3.0 | 390 | 0.1192 | 0.9549 |
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| 0.2653 | 4.0 | 520 | 0.1393 | 0.9398 |
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| 0.2344 | 5.0 | 650 | 0.1001 | 0.9624 |
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| 0.21 | 6.0 | 780 | 0.0893 | 0.9624 |
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| 0.3117 | 7.0 | 910 | 0.1933 | 0.9248 |
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| 0.2459 | 8.0 | 1040 | 0.1901 | 0.9248 |
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| 0.25 | 9.0 | 1170 | 0.0868 | 0.9699 |
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| 0.2038 | 10.0 | 1300 | 0.1528 | 0.9474 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 21688828
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