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tanganke/
stanford_cars

Name: stanford_cars
Creator: tanganke

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Model Card

Model Details

Architecture: ViT-Base with patch size 32
Training Data: Standford Cars dataset

Training Details

Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=32). Only the vision encoder is fine-tuned.

Evaluation Results

pre-trained: 0.5987
fine-tuned: 0.7819

Usage

load vision model

python

from transformers import CLIPVisionModel

vision_model = CLIPVisionModel.from_pretrained('tanganke/clip-vit-base-patch32_stanford-cars')

substitute the vision encoder of clip