update defaults: LR 3e-4, rank 32, alpha 2x rank (per Side-Step author)

app.py

@@ -546,7 +546,7 @@ def gradio_main():
                 epochs=epochs,
                 lr=lr,
                 rank=rank,
-                alpha=rank,
+                alpha=rank * 2,
                 dropout=0.0,
                 batch_size=1,
                 gradient_accumulation_steps=4,
@@ -716,10 +716,10 @@ def gradio_main():
                             label="Epochs", minimum=1, maximum=1000,
                             value=3, step=1,
                         )
-                        train_lr = gr.Number(label="Learning Rate", value=1e-4)
+                        train_lr = gr.Number(label="Learning Rate", value=3e-4)
                         train_rank = gr.Slider(
-                            label="Rank (r)", minimum=1, maximum=64,
-                            value=16, step=1,
+                            label="Rank (r)", minimum=1, maximum=128,
+                            value=32, step=1,
                         )
 
                 with gr.Row(elem_classes="compact-row"):