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README.md
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- image-classification
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- vision
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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# outputs
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the PETA dataset
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It achieves the following results on the evaluation set:
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- Loss: 0.2170
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- Accuracy: 0.9107
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- Transformers 4.24.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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- image-classification
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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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# outputs
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the [PETA dataset](http://mmlab.ie.cuhk.edu.hk/projects/PETA_files/Pedestrian%20Attribute%20Recognition%20At%20Far%20Distance.pdf) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2170
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- Accuracy: 0.9107
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- Transformers 4.24.0.dev0
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- Pytorch 1.12.1+cu113
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| 77 |
- Datasets 2.6.1
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| 78 |
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- Tokenizers 0.13.1
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