Update README.md

README.md

@@ -51,16 +51,15 @@ Dataset
 
 The model was trained on a Portuguese conversational dataset, including:
 
-Dialogues (Usuário ↔ Bot)
-Perguntas e respostas simples
-Conversas casuais
-Estruturas de linguagem natural
-Format
-User: Oi!
-Bot: Olá! Como posso te ajudar?
+
+Pure text
+
 Training Notes
+
 Focused on language pattern learning, not reasoning
+
 No instruction tuning (no RLHF, no alignment)
+
 Lightweight training pipeline
 Optimized for small-scale experimentation
 💡 Capabilities
@@ -91,7 +90,7 @@ model_name = "AxionLab-official/MiniBot-0.9M-Base"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
-prompt = "User: Oi\nBot:"
+prompt = "The cat "
 inputs = tokenizer(prompt, return_tensors="pt")
 
 outputs = model.generate(
@@ -101,8 +100,10 @@ outputs = model.generate(
     top_p=0.95,
     do_sample=True
 )
-```
+
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
 ⚙️ Recommended Generation Settings
 
 For better results: