Update README.md

README.md

@@ -44,6 +44,18 @@ This model is part of the **SODA-VEC** (Scientific Open Domain Adaptation for Ve
 
 **Loss Function**: VICReg Our Contrast: normalized embeddings with covariance loss, feature loss, and dot product loss (diagonal + off-diagonal)
 
+We have implemented a series of changes from the original [VICREG in the paper from Meta](https://arxiv.org/pdf/2105.04906). Here we show the main differences:
+
+| Feature | Original VICReg | VICReg Our | VICReg Our Contrast |
+|---------|----------------|------------|---------------------|
+| Normalization | No | Yes (L2-normalized) | Yes (L2-normalized) |
+| Invariance (MSE) | Yes | No | No |
+| Variance (hinge) | Yes | No | No |
+| Covariance | Yes (unnormalized) | Yes (normalized) | Yes (normalized) |
+| Feature correlation | No | Yes (cross-view) | Yes (cross-view) |
+| Sample similarity | No | Yes (diagonal only) | Yes (diagonal + off-diagonal) |
+
+
 **Coefficients**: cov=1.0, feature=1.0, dot=1.0
 **Base Model**: `answerdotai/ModernBERT-base`
 
@@ -135,7 +147,7 @@ The model has been evaluated on comprehensive biomedical benchmarks including:
 - **Field-Specific Separability**: Distinguishing between different biological fields
 - **Semantic Search**: Retrieval quality on biomedical text corpora
 
-For detailed evaluation results, see the [SODA-VEC benchmark notebooks](https://github.com/EMBO/soda-vec).
+For detailed evaluation results, see the [SODA-VEC benchmark notebooks](https://github.com/source-data/soda-vec).
 
 ## Intended Use
 
@@ -169,7 +181,7 @@ If you use this model, please cite:
 
 ## Model Card Contact
 
-For questions or issues, please open an issue on the [SODA-VEC GitHub repository](https://github.com/EMBO/soda-vec).
+For questions or issues, please open an issue on the [SODA-VEC GitHub repository](https://github.com/source-data/soda-vec).
 
 ---