disine

app.py

@@ -821,14 +821,17 @@ with gr.Blocks() as demo:
                     gr.Markdown("""
                     <small>
                                         
-                    **Epochs:** (- Higher = Model learns more thoroughly)   (- Best for small datasets: 3-5)                 
-                                (- Lower = Faster training              )   (- Best for large datasets: 1-2)
+                    **Epochs:** 
+                    Lower = Faster training  -> Higher = Model learns more thoroughly   
+                    Best for small datasets: 3-5 -> Best for large datasets: 1-2
                                                            
-                    **Batch Size:**  (- Higher = Faster but needs more RAM) (- 4 = Good for 16GB RAM)
-                                     (- Lower = Slower but more stable    ) (- 8 = Good for 32GB RAM)
+                    **Batch Size:**  
+                    Lower = Slower but more stable -> Higher = Faster but needs more RAM 
+                    4 = Good for 16GB RAM -> 8 = Good for 32GB RAM
                             
-                    **Learning Rate:** (- Higher = Learns faster but may be unstable) (- 2e-4 (0.0002) = Usually works best )
-                                       (- Lower = Learns slower but more reliable   ) (- 1e-4 = Safer choice for fine-tuning)
+                    **Learning Rate:** 
+                    Lower = Learns slower but more reliable -> Higher = Learns faster but may be unstable
+                    2e-4 (0.0002) = Usually works best -> 1e-4 = Safer choice for fine-tuning
                     </small>
                     """)