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README.md

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----
-license: mit
----
+
+# 🚀 CodeT5 VB.NET → C# Translator
+
+This is a fine-tuned version of [Salesforce/CodeT5-base](https://huggingface.co/Salesforce/codet5-base) for translating VB.NET to C#.
+
+---
+
+## 📊 Evaluation Metrics
+
+**BLEU Score:** 0.4506  
+- 1-gram: 0.6698  
+- 2-gram: 0.5402  
+- 3-gram: 0.4656  
+- 4-gram: 0.4132  
+- Brevity penalty: 0.8773  
+- Length ratio: 0.8843  
+
+**ROUGE Scores:**  
+- ROUGE-1: 0.5836  
+- ROUGE-2: 0.4586  
+- ROUGE-L: 0.5378  
+- ROUGE-Lsum: 0.5781
+
+---
+
+## 🔧 Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+model = AutoModelForSeq2SeqLM.from_pretrained("{repo_id}")
+tokenizer = AutoTokenizer.from_pretrained("{repo_id}")
+
+vb_code = "Dim x As Integer = 5"
+inputs = tokenizer(f"translate VB.NET to C#: {vb_code}", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+
+## 📁 Dataset Format
+
+Training data was in JSONL with fields:
+"vb_code": VB.NET input
+"csharp_code": corresponding C# output
+
+## 📄 License
+
+MIT

model_card.json

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+{
+    "language": [
+        "vbnet",
+        "csharp"
+    ],
+    "tags": [
+        "code",
+        "code-to-code",
+        "translation",
+        "codet5"
+    ],
+    "license": "mit",
+    "pipeline_tag": "text2text-generation",
+    "library_name": "transformers",
+    "model_type": "CodeT5"
+}