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README.md

@@ -36,37 +36,31 @@ output = model.generate(**inputs)
 print(tokenizer.decode(output[0], skip_special_tokens=True))
 
 
-📊 Training Details
-Epochs: 3
+## 📊 Training Details
+- Epochs: 3
 
-Batch Size: 8
+- Batch Size: 8
 
-Learning Rate: 5e-5
+- Learning Rate: 5e-5
 
-Optimizer: AdamW
+- Optimizer: AdamW
 
-Loss Function: Cross Entropy
+- Loss Function: Cross Entropy
 
-Logged with: Weights & Biases
+- Logged with: Weights & Biases
 
-📁 Files
+## 📁 Files
 pytorch_model.bin or model.safetensors: The fine-tuned model
 
 tokenizer_config.json, spiece.model: Tokenizer files
 
 config.json: Model architecture
 
-🚀 Intended Use
+## 🚀 Intended Use
 Educational and experimental use
 
 Translate natural language questions into basic SQL queries
 
-📌 Limitations
-Trained on a very small custom dataset; not production ready
 
-Limited SQL syntax understanding
-
-May not generalize to unseen database schemas or complex queries
-
-📜 License
+## 📜 License
 Apache 2.0