tanganke/clip-vit-large-patch14_stanford-cars

Model Card

Model Details

• —Architecture: ViT-Large with patch size 14
• —Training Data: stanford 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: 0.7770098447799683
• —fine-tuned: 0.92734694480896