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--- |
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license: mit |
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datasets: |
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- pcuenq/oxford-pets |
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metrics: |
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- accuracy |
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pipeline_tag: image-classification |
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--- |
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# CLIP ViT Base Patch32 Fine-tuned on Oxford Pets |
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This model is a fine-tuned version of OpenAI's CLIP model on the Oxford Pets dataset, intended for pets classification. |
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## Training Information |
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- **Model Name**: openai/clip-vit-base-patch32 |
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- **Dataset**: oxford-pets |
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- **Training Epochs**: 4 |
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- **Batch Size**: 256 |
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- **Learning Rate**: 3e-6 |
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- **Test Accuracy**: 93.74% |
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## Parameters Information |
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Trainable params: 151.2773M || All params: 151.2773M || Trainable%: 100.00% |
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## Bias, Risks, and Limitations |
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Refer to the original [CLIP repository](https://huggingface.co/openai/clip-vit-base-patch32). |
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## License |
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[MIT] |
