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clip-vit-base-patch32-oxford-pets – AI Model by DGurgurov | AlphaNeural AI
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DGurgurov
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clip-vit-base-patch32-oxford-pets
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transformers
safetensors
clip
zero-shot-image-classification
image-classification
pcuenq/oxford-pets
mit
endpoints_compatible
us
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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]
