metadata
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