Update README.md (#1)

- Update README.md (55c5735f8f22f1a089096a40b2ba6cadb4a36249)


Co-authored-by: Pengzhi Gao <[email protected]>

README.md

@@ -51,16 +51,11 @@ GemmaX2-28-9B-v0.1 is an LLM-based translation model. It has been fintuned on Ge
 - **Languages:** Arabic, Bengali, Czech, German, English, Spanish, Persian, French, Hebrew, Hindi, Indonesian, Italian, Japanese, Khmer, Korean, Lao, Malay, Burmese, Dutch, polish, Portuguese, Russian, Thai, Tagalog, Turkish, Urdu, Vietnamese, Chinese. 
 
 
-### Model Source
-
-- paper: [Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study](https://arxiv.org/pdf/2502.02481)
-
-### Model Performance
+## Model Performance
 
 ![Experimental Result](main.png)
 
 
-
 ## Run the model
 
 ```python
@@ -74,7 +69,7 @@ model = AutoModelForCausalLM.from_pretrained(model_id)
 text = "Translate this from Chinese to English:\nChinese: 我爱机器翻译\nEnglish:"
 inputs = tokenizer(text, return_tensors="pt")
 
-outputs = model.generate(**inputs, max_new_tokens=50)
+outputs = model.generate(**inputs, max_new_tokens=512)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
@@ -96,4 +91,4 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ## Limitations
 
-GemmaX2-28-9B-v0.1 supports only the 28 most commonly used languages and does not guarantee powerful translation performance for other languages. Additionally, we will continue to improve GemmaX2-28-9B's translation performance, and future models will be release in due course.
+GemmaX2-28-9B-v0.1 only supports the 28 languages listed above and does not guarantee strong translation performance for other languages. We will continue to enhance the translation performance of GemmaX2-28-9B, and future models will be released in due course.