Update README.md

README.md

@@ -95,7 +95,7 @@ for sample in inputs:
     input_ids = tokenizer(
         input_sequences, return_tensors="pt", truncation=True
     ).input_ids
-    output = model.generate(input_ids, no_repeat_ngram_size=3, num_beams=4)
+    output = model.generate(input_ids, no_repeat_ngram_size=3, num_beams=20)
     predicted = tokenizer.decode(output[0], skip_special_tokens=True)
     print(sample, "\n --->", predicted)