---
base_model:
- openai/clip-vit-large-patch14
datasets:
- nateraw/rendered-sst2
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: 0.6891817450523376
- fine-tuned: 0.8045030236244202