metadata
base_model:
- openai/clip-vit-base-patch16
datasets:
- nateraw/rendered-sst2
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: 0.6057111620903015
- fine-tuned: 0.7572762370109558