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README.md

@@ -59,7 +59,7 @@ device = torch.device("cpu")
 pad_char = "X"  # Padding character
 target_length = 33  # Target length for sequence padding
 mode = "BPS"  # Mode setting (only configured in example.py)
-esm_ratio = 1  # Ratio for ESM embeddings
+esm_ratio = 0.95  # Ratio for ESM embeddings
 
 # Load the PDeepPP model
 model_name = "fondress/PDeepPP_umami"