| base_model: | |
| - openai/clip-vit-base-patch32 | |
| datasets: | |
| - dpdl-benchmark/oxford_flowers102 | |
| metrics: | |
| - accuracy | |
| # 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 | |
| Validation set accuracy: | |
| - pre-trained: 0.6803921461105347 | |
| - fine-tuned: 0.8980392217636108 | |
| Test set accuracy: | |
| - pre-trained: 0.6644982695579529 | |
| - fine-tuned: 0.8855098485946655 | |