| base_model: | |
| - openai/clip-vit-large-patch14 | |
| datasets: | |
| - tanganke/stanford_cars | |
| metrics: | |
| - accuracy | |
| # 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 | |