---
license: apache-2.0
datasets:
- shiwk24/MathCanvas-Imagen
base_model:
- google/siglip2-base-patch16-224
library_name: transformers
---

# SigLip2 Math

This version of siglip2 is fine tuned on `shiwk24/MathCanvas-Imagen` using the `code_derived_captions` split.
I trained for 1 epoch on 4M math images, with a random selection between the tikz code or caption using a batch size of 640.

This is not a classification model, since the loss function was pairwise contrastive loss.
Use for embedding or downstream classifier training is recommended.



![image](https://cdn-uploads.huggingface.co/production/uploads/65ff92ea467d83751a727538/Wp-v5x7ciWI4SWRMySt-W.png)