Welcome to the coolest corner of the AI universe! 🌟 This project isn't just about fine-tuning a language model; it's about giving Gemma a fabulous makeover using the power of Low-Rank Adaptation (LoRA). Get ready to witness a transformation that would make any AI fashionista proud!

1. Clone this cosmic repository:

git clone https://github.com/utkarshpophli/gemma-finetuning-keras-lora.git
cd gemma-finetuning-lora

2. Suit up with the right gear:

pip install -r requirements.txt

3. Ignite the training sequence:

python src/train.py

4. Launch the Streamlit spaceship:

streamlit run app.py

• src/: The engine room where all the AI magic happens
• app.py: Your control panel to interact with the fabulous fine-tuned Gemma
• config.py: The blueprint for our AI makeover
• logger.py: Our cosmic diary keeper

• Gemma: Our talented AI star, ready for her big performance
• LoRA: The magical stylist giving Gemma her glow-up
• You: The brilliant director orchestrating this AI masterpiece

This project is like giving Gemma a starring role in her own blockbuster movie. We start with her raw talent (pre-trained model), send her to LoRA's beauty school (fine-tuning), and then watch her dazzle the audience (generate amazing responses) in her new role!

• 🧠 Brain Boost: Gemma now understands context like a champ
• 🚀 Speed Demon: Responses faster than a caffeinated coder
• 🎭 Adaptation Master: Gemma can now switch roles quicker than a chameleon

Feel free to tweak the config.py file to experiment with different:

• 🎭 LoRA ranks (how dramatic should Gemma's makeover be?)
• 📏 Sequence lengths (how long-winded should we allow Gemma to be?)
• 🏋️ Batch sizes (how many scripts should Gemma memorize at once?)

• If Gemma were a coffee, she'd be a triple shot espresso after this fine-tuning
• The number of parameters we're training is smaller than the number of stars you can see on a clear night (but the results are just as magical)

This project is licensed under the MIT License - see the LICENSE file for details. (Spoiler: You're free to use it, just don't blame us if Gemma becomes too sassy)

• Shoutout to the Keras team for making AI as easy as pie (a very complex, multi-layered pie)
• High-five to the LoRA inventors for showing us that sometimes, less really is more
• Virtual hugs to the open-source community for being awesome

Now go forth and make Gemma shine brighter than a supernova! 🌟✨