---
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