Update Readme.md

README.md

@@ -49,3 +49,44 @@ What is the control measure for aphid infestation in mustard crops?
 inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
 outputs = model.generate(**inputs, max_new_tokens=100)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## 📊 Training
+
+- **Epochs:** 3  
+- **Batch Size:** 8  
+- **Learning Rate:** 2e-5  
+- **Precision:** bf16  
+- **Training Framework:** 🤗 `transformers` + `peft`  
+- **Compute:** Google Colab T4 GPU
+
+## 📁 Files
+
+- `adapter_config.json`: Configuration of LoRA adapter.
+- `adapter_model.safetensors`: The trained adapter weights.
+- `README.md`: This file.
+
+## 🛑 Limitations
+
+- **Domain-Specific**: Works best on agri-related questions. Not suited for general conversation.
+- **Small Dataset**: Initial training was done on a subset (~5k samples). Accuracy may improve with full dataset.
+- **Not Merged**: Requires base model for usage.
+
+## 📚 Citation
+
+```bibtex
+@misc{nithyanandam2024agriqa,
+  title={AgriQA TinyLlama LoRA Adapter},
+  author={Nithyanandam Venu},
+  year={2024},
+  howpublished={\url{https://huggingface.co/theone049/agriqa-tinyllama-lora-adapter}}
+}
+```
+
+## ✉️ Contact
+
+For questions or collaborations: [[email protected]](mailto:[email protected])
+
+---
+
+*This is part of an experimental project to improve AI Q&A for agriculture. Not for medical or pesticide advice.*