Efficient Large Language Model training with LoRA and Hugging Face
Read OriginalThis tutorial demonstrates how to apply Parameter Efficient Fine-Tuning (PEFT), specifically the LoRA technique, to fine-tune the 11-billion parameter FLAN-T5 XXL model for a summarization task using the samsum dataset. It provides a step-by-step guide covering environment setup with Hugging Face Transformers, Accelerate, and PEFT, dataset preparation, model training with LoRA and bitsandbytes int-8 quantization, and subsequent evaluation and inference.
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