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--- |
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license: apache-2.0 |
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datasets: |
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- shiwk24/MathCanvas-Imagen |
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base_model: |
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- google/siglip2-base-patch16-224 |
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library_name: transformers |
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--- |
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# SigLip2 Math |
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This version of siglip2 is fine tuned on `shiwk24/MathCanvas-Imagen` using the `code_derived_captions` split. |
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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. |
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This is not a classification model, since the loss function was pairwise contrastive loss. |
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Use for embedding or downstream classifier training is recommended. |
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