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Classroom Contents
Fine-tuning Gemma Models with PEFT and LoRA Using HuggingFace Datasets
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- 1 - Intro
- 2 - Preliminaries & Installation
- 3 - Run inference on pre-trained Gemma-2b
- 4 - Motivation for Parameter Efficient Fine-tuning PEFT
- 5 - Create a custom dataset for finetuning
- 6 - Tips for fine-tuning parameters
- 7 - Supervised Fine-tuning
- 8 - Training visualization & Interpretations
- 9 - Conclusion
