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README.md

@@ -33,34 +33,4 @@ tokenizer = T5Tokenizer.from_pretrained("Priyanshu05/text-to-sql-t5")
 question = "translate natural language to SQL: show all customers"
 inputs = tokenizer(question, return_tensors="pt")
 output = model.generate(**inputs)
-print(tokenizer.decode(output[0], skip_special_tokens=True))
-
-
-## 📊 Training Details
-- Epochs: 3
-
-- Batch Size: 8
-
-- Learning Rate: 5e-5
-
-- Optimizer: AdamW
-
-- Loss Function: Cross Entropy
-
-- Logged with: Weights & Biases
-
-## 📁 Files
-pytorch_model.bin or model.safetensors: The fine-tuned model
-
-tokenizer_config.json, spiece.model: Tokenizer files
-
-config.json: Model architecture
-
-## 🚀 Intended Use
-Educational and experimental use
-
-Translate natural language questions into basic SQL queries
-
-
-## 📜 License
-Apache 2.0
+print(tokenizer.decode(output[0], skip_special_tokens=True))