Update README.md

README.md

@@ -20,7 +20,7 @@ A hybrid PyTorch neural network designed to **highly accurately compute the scal
 
 The main highlight of this model is the integration of a rare **bilinear layer (`nn.Bilinear`)** at the input stage, combined with classic fully connected layers (`nn.Linear`) and the `SELU` activation function.
 * The network accepts an input tensor of shape `[batch, 4]` and splits it into two vectors: `A [batch, 2]` and `B [batch, 2]`.
-* The bilinear layer efficiently extracts cross-features between the vectors, allowing the model to reduce the error to an impressive **0.0569%**.
+* The bilinear layer efficiently extracts cross-features between the vectors, allowing the model to reduce the error to an impressive **0.185%**.
 
 ## 📊 Training Results