README.md

metadata

title: Text Summarization — SmolLM2 LoRA
emoji: 📝
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.0.0
app_file: app.py
pinned: false

Text Summarization with SmolLM2-1.7B (LoRA Fine-Tuned)

A Gradio app for article summarization using SmolLM2-1.7B fine-tuned with LoRA on the CNN/DailyMail dataset.

How it works

1. Paste an article into the text box (or click a sample article)
2. Adjust temperature and max tokens if desired
3. Click Summarize to generate a concise summary

Model

• Base: HuggingFaceTB/SmolLM2-1.7B
• Fine-tuning: LoRA (r=8, alpha=16) on CNN/DailyMail
• Hardware: Kaggle P100 (16GB GPU)
• Hub: arinbalyan/summarization-lora

Training

See the Kaggle notebook for the full training pipeline.