base_model: | |
- openai/clip-vit-large-patch14 | |
datasets: | |
- clip-benchmark/wds_fer2013 | |
metrics: | |
- accuracy | |
# Model Card | |
## Training Details | |
Adam Optimizer with a constant learning rate 5e-6 for 4000 steps training (batch_size=128). | |
Only the vision encoder is fine-tuned. | |
## Evaluation Results | |
Test set accuracy: | |
- pre-trained: 0.49958205223083496 | |
- fine-tuned: 0.7592644095420837 | |