Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+datasets:
+- pacovaldez/stackoverflow-questions
+language:
+- en
+base_model:
+- google/flan-t5-base
+library_name: transformers
+tags:
+- Stackoverflow
+- flan-t5
+- peft
+- lora
+- seq2seq
+---
+# 🤖 FLAN-T5 Base Fine-Tuned on Stack Overflow Questions (LoRA)
+This is a fine-tuned version of [`google/flan-t5-base`](https://huggingface.co/google/flan-t5-base) on a curated dataset of Stack Overflow programming questions. It was trained using [LoRA](https://arxiv.org/abs/2106.09685) (Low-Rank Adaptation) for parameter-efficient fine-tuning, making it compact, efficient, and effective at modeling developer-style Q&A tasks.
+---
+## 🧠 Model Objective
+The model is trained to:
+- Rewrite or improve unclear programming questions
+- Generate relevant clarifying questions or answers
+- Summarize long developer queries
+- Serve as a code-aware Q&A assistant
+---
+## 📚 Training Data
+- **Source**: Stack Overflow public questions dataset (cleaned)
+- **Format**: Instruction-like examples, Q&A pairs, summarization prompts
+- **Cleaning**: HTML stripping, markdown-to-text, code-preserved
+- **Size**: ~15k examples
+---
+## 🏗️ Training Details
+- **Base Model**: `google/flan-t5-base`
+- **Adapter Format**: LoRA using [`peft`](https://github.com/huggingface/peft)
+- **Files**:
+  - `adapter_model.safetensors`
+  - `adapter_config.json`
+- **Hyperparameters**:
+  - `r`: 8
+  - `lora_alpha`: 16
+  - `lora_dropout`: 0.1
+  - `bias`: "none"
+  - `task_type`: "SEQ_2_SEQ_LM"
+- **Inference Mode**: Enabled
+---
+## 💡 How to Use
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from peft import PeftModel
+
+# Load tokenizer and base model
+tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-base")
+base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base")
+
+# Load LoRA adapter
+model = PeftModel.from_pretrained(base_model, "your-model-folder")
+model.eval()
+
+# Inference
+prompt = "Rewrite this question more clearly: why is my javascript function undefined?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+🧪 Intended Use
+This model is best suited for:
+Code-aware chatbot assistants
+Prompt engineering for developer tools
+Developer-focused summarization / rephrasing
+Auto-moderation / clarification of tech questions
+
+⚠️ Limitations
+Not trained for code generation or long-form answers
+May hallucinate incorrect or generic responses
+Finetuned only on Stack Overflow — domain-specific
+
+✨ Acknowledgements
+Hugging Face Transformers
+LoRA (PEFT)
+Stack Overflow for open data
+FLAN-T5: Scaling Instruction-Finetuned Models
+
+🛠️ Created with love by Kunj | Model suggestion & guidance by ChatGPT