Update README.md

README.md

@@ -161,11 +161,11 @@ bp_probs_list, actual_probs_list = model.score_sequence(sequences)
 
 # Compute metrics for each sequence
 for i, (seq, actual_probs) in enumerate(zip(sequences, actual_probs_list)):
-    log_likelihood = actual_probs.log().sum().item()  # Total log-likelihood
+    log_likelihood = actual_probs.log().mean().item()  # Total log-likelihood
     perplexity = torch.exp(-actual_probs.log().mean()).item()  # Perplexity
 
     print(f"Sequence {i+1} (length {len(seq)}):")
-    print(f"  Log-likelihood: {log_likelihood:.2f}")
+    print(f"  Mean log-likelihood: {log_likelihood:.2f}")
     print(f"  Perplexity: {perplexity:.4f}")
     print(f"  Mean probability: {actual_probs.mean().item():.4f}")
 ```