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.
License
[MIT]
- Downloads last month
- 8