Model Fine-tuning
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Fine-tune Resources
[edit | edit source]- Fine-tune a pre-trained model on HuggingFace
- Fine-tune documentation on OpenAI
- StackLLaMA: A hands-on guide to train LLaMA with RLHF
- Parameter-Efficient Fine-Tuning (PEFT) -- An efficient fine-tuning approach to reduce computational resources and time cost
Fine-tune time estimation (Based on previous Hackathon feedback)
[edit | edit source]- Fine-tuning ESM-2 model with 35M parameter takes ~4.5 hours
- Fine-tuning ESM-2 model with 8M parameter takes ~2.5 hours