Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- ta
+---
+
+# **Debug Divas: Colloquial Tamil Translation Model**
+🚀 **Fine-tuned Mistral-7B for English-to-Colloquial Tamil Translation**  
+
+![Hugging Face](https://img.shields.io/badge/HuggingFace-Model-yellow?style=flat)  
+[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)  
+
+## 🌟 **Overview**
+This model is a **fine-tuned version of Mistral-7B** using **Unsloth's FastLanguageModel**, designed specifically to translate **English text into colloquial Tamil** (spoken Tamil). It is optimized for **real-world Tamil conversations**, making it useful for chatbots, assistants, and translation tools.
+
+---
+
+## 📖 **Model Details**
+- **Base Model**: [Mistral-7B-Instruct](https://huggingface.co/mistral-7b-instruct)
+- **Fine-Tuned Dataset**: Custom dataset (`debug_divas_dataset.json`) with **English → Colloquial Tamil** translation pairs.
+- **Training Library**: [Unsloth](https://github.com/unslothai/unsloth) (optimized training for large models)
+- **Max Sequence Length**: 128 tokens  
+- **Batch Size**: 8  
+- **Epochs**: 3  
+- **Optimizer**: AdamW  
+
+---
+
+## 🔧 **Installation & Setup**
+To use this model, install the necessary dependencies:
+
+```bash
+pip install torch transformers datasets unsloth accelerate
+```
+
+---
+
+## 🚀 **Usage**
+### **Load Model & Tokenizer**
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load fine-tuned model from Hugging Face
+model_name = "your-huggingface-username/debug-divas-tamil-translation"
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Translation function
+def translate_english_to_tamil(input_text):
+    instruction = "Translate the following English sentence to colloquial Tamil"
+    inputs = tokenizer(f"{instruction}: {input_text}", return_tensors="pt").to(device)
+    
+    translated_tokens = model.generate(**inputs, max_length=128)
+    translated_text = tokenizer.decode(translated_tokens[0], skip_special_tokens=True)
+    
+    return translated_text
+
+# Example usage
+input_text = "The pharmacy is near the bus stop."
+translated_text = translate_english_to_tamil(input_text)
+print("Colloquial Tamil:", translated_text)
+```
+
+---
+
+## 📝 **Example Outputs**
+| **English** | **Colloquial Tamil Translation** |
+|------------|---------------------------------|
+| "How are you?" | "நீங்க எப்படி இருக்கீங்க?" |
+| "I am going to the market." | "நான் மார்க்கெட்டுக்கு பொறேன்." |
+| "The pharmacy is near the bus stop." | "மருந்துக் கடை பஸ்ஸ்டாப் அருகே இருக்க." |
+
+---
+
+## 📚 **Dataset**
+The dataset contains **pairs of English sentences** with their **colloquial Tamil translations**.  
+Example format:
+
+```json
+[
+  {
+    "input": "How are you?",
+    "output": "நீங்க எப்படி இருக்கீங்க?"
+  },
+  {
+    "input": "I am going to the market.",
+    "output": "நான் மார்க்கெட்டுக்கு பொறேன்."
+  }
+]
+```
+
+---
+
+## 🏗 **Training Details**
+The model was fine-tuned using **UnslothTrainer** with the following hyperparameters:
+
+- **Batch Size**: 8  
+- **Epochs**: 3  
+- **Learning Rate**: 2e-5  
+- **FP16 Training**: Disabled  
+- **Optimizer**: AdamW  
+- **Dataset Split**: 80% Train, 20% Test  
+
+
+
+---
+
+## ⚖ **License & Citation**
+This model is released under the **MIT License**. If you use it in your work, please cite:
+
+```bibtex
+@misc{debugdivas2025,
+  author = {Debug Divas},
+  title = {Fine-tuned Mistral-7B for Colloquial Tamil Translation},
+  year = {2025},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/your-huggingface-username/debug-divas-tamil-translation}
+}
+```
+
+---
+
+## ❤️ **Contributions & Feedback**
+We welcome feedback and contributions! Feel free to open an issue or contribute to our dataset.  
+
+📧 **Contact:** [xidanitha@gmail.com]  
+
+---
+
+This **README.md** ensures that users can easily understand, install, and use your **colloquial Tamil translation model**. 🚀
+