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clip-vit-base-patch32-oxford-pets
DGurgurov/clip-vit-base-patch32-oxford-pets
clip-vit-base-patch32-oxford-pets is a image classification model from DGurgurov. Use it when you need a label for an image. It is set up for transformers. The card lists the license as mit.
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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386
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151M
1.8 GB on disk
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- mit
- Model type
- clip
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024
- SHA
- 4e1457fc
Datasets
Model card
From the Hugging Face model README
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]
- Task
- Image Classification
- Library
- transformers
- Type
- clip
- License
- mit
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024