Update README.md

README.md

@@ -14,7 +14,7 @@ model_name: "Italia-GPT 🇮🇹"
 
 # Italia-GPT <img src="https://flagcdn.com/w40/it.png" width="35" style="display: inline; vertical-align: middle; margin-bottom: 44px;">
 
-**Italia-GPT** is a state-of-the-art 1.2B parameter model fine-tuned for native Italian instruction following. By focusing on linguistic nuances and cultural context, this model provides superior fluency compared to standard base models.
+**Italia-GPT** is a 1.2B parameter model fine-tuned for native Italian instruction following. By focusing on linguistic nuances and cultural context, this model provides superior fluency compared to standard base models.
 
 ![Model Card](https://img.shields.io/badge/Language-Italian%20%F0%9F%87%AE%F0%9F%87%B9-green)
 ![Model Size](https://img.shields.io/badge/Size-1.24B-gold)
@@ -29,10 +29,10 @@ Below are the target benchmarks for the **CALAMITA** and **Evalita-LLM** framewo
 
 | Metric | Score | Description |
 | :--- | :--- | :--- |
-| **Logic & Reasoning** | **55.8%** | Native Italian sentence logic |
-| **Grammar Accuracy** | **72.1%** | Gender/Number agreement precision |
-| **Sentiment (ITA)** | **72.1%** | Detection of Italian irony and tone |
-| **Cultural Q&A** | **41.3%** | Localized knowledge and trivia |
+| **Logic & Reasoning** | **%** | Native Italian sentence logic |
+| **Grammar Accuracy** | **%** | Gender/Number agreement precision |
+| **Sentiment (ITA)** | **%** | Detection of Italian irony and tone |
+| **Cultural Q&A** | **%** | Localized knowledge and trivia |
 
 ---
 
@@ -66,4 +66,5 @@ messages = [{"role": "user", "content": "Come si prepara una vera carbonara?"}]
 inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to("cuda")
 outputs = model.generate(inputs, max_new_tokens=256)
 
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```