Updated to latest trained model

app.py

@@ -245,7 +245,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                   - 5,315 positive, 44,999 negative (11.8%)
                   - Split: 80% training, 10% validation, 10% testing
                 - Notable points:
-                  - Result: AUPRC 0.7033 (Baseline: 0.118) on val split
+                  - Result: AUPRC 0.7027 (Baseline: 0.118) on Val split
                   - Variational Regularization, inspired by [Kipf et al., 2016](https://arxiv.org/abs/1611.07308)
                   - Trained on NVIDIA A100 with PyTorch 2.4.0
                 """

models/final_model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc8ce76b804f59492a8898b568978aaf73a64bcd8ab7e97cbf83626113ffde39
-size 60944806
+oid sha256:fe03574b02ac988557f12d79734fc7057707121ad9b09a1b2fb30870486df91c
+size 60944146