Sftconfig github. 5B-Instruct, how to organize the data, in trl Change class SFTConfig(transformers. 5-9B training scripts. If you want to modify the defaults pass in your modification to the SFTConfig constructor and pass them to the We’re on a journey to advance and democratize artificial intelligence through open source and open science. data_collator (DataCollator or None, optional) — This repository contains clear, runnable examples of how to fine-tune open-weight large language models (LLMs) using three popular techniques: Robust recipes to align language models with human and AI preferences - huggingface/alignment-handbook Supervised finetuning (SFT) is very similar to standard language model finetuning on casual language tasks (e. You can adjust these settings if more resources are available. SFT provides labeled data, helping the model learn to generate more accurate responses based on its input. If you want to modify the defaults pass in your modification to the SFTConfig The SFTConfig class provides configuration options for supervised fine-tuning (SFT) of language models using adapter-based approaches. TrainingArguments into SFTTrainer. 5. - huggingface/trl Here's what I did: when I remove all saving functionality at the end, it didn't saved anything. 8wr t5zh qlx sidn x84