tanganke
/

clip-vit-base-patch16_oxford-iiit-pet

clip_vision_model

Model card Files Files and versions Metrics Training metrics Community

Model Card

Training Details

Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.

Evaluation Results

Test set accuracy:

pre-trained: 0.8844372034072876
fine-tuned: 0.9449441432952881

Downloads last month: 112

Safetensors

Model size

85.8M params

Tensor type

F32

·

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for tanganke/clip-vit-base-patch16_oxford-iiit-pet

Base model

openai/clip-vit-base-patch16

Finetuned

(37)

this model

Dataset used to train tanganke/clip-vit-base-patch16_oxford-iiit-pet