Model: ogwata/exp27-dpo-r16 Source: Original Platform
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 |
|
|
apache-2.0 | transformers | text-generation |
|
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)
Description
Languages
Jinja
100%