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