Update README.md

README.md

@@ -82,6 +82,7 @@ output = model.generate(inputs["input_ids"])
 refined_text = tokenizer.decode(output[0], skip_special_tokens=True)
 
 print(refined_text)
+```
 Training Details
 Training Data
 The model was fine-tuned on a dataset consisting of 4000 rows of machine-translated text and refined English text. The dataset was designed to focus on translation corrections, ensuring that the model learns to improve translation fluency.