exp27-dpo-r16/README.md

base_model, datasets, language, license, library_name, pipeline_tag, tags

base_model	datasets	language	license	library_name	pipeline_tag	tags
ogwata/exp26-sft-r16-merged	u-10bei/dpo-dataset-qwen-cot	en	apache-2.0	transformers	text-generation	dpo unsloth qwen alignment

exp27-dpo-r16

This model is a fine-tuned version of ogwata/exp26-sft-r16-merged using Direct Preference Optimization (DPO) via the Unsloth library.

This repository contains the full-merged 16-bit weights. No adapter loading is required.

Training Configuration

• Base model: ogwata/exp26-sft-r16-merged
• Method: DPO (Direct Preference Optimization)
• Epochs: 1
• Learning rate: 7e-07
• Beta: 0.2
• Max sequence length: 1024
• LoRA Config: r=8, alpha=16 (merged into base)