| base_model: | |
| - openai/clip-vit-base-patch16 | |
| datasets: | |
| - tanganke/emnist_letters | |
| 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 | |
| Test set accuracy: | |
| - pre-trained: 0.12437500059604645 | |
| - fine-tuned: 0.9528365135192871 | |