Model: takami2022/qwen3-4b-dpo-v2 Source: Original Platform
base_model, datasets, language, license, library_name, pipeline_tag, tags
| base_model | datasets | language | license | library_name | pipeline_tag | tags | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| takami2022/qwen3-4b-dpo-v1 |
|
|
apache-2.0 | transformers | text-generation |
|
qwen3-4b-dpo-v2
DPO v1(0.7703)をベースにBeta=0.05で再学習したモデル。
Training Configuration
- Base model: takami2022/qwen3-4b-dpo-v1
- Method: DPO (Direct Preference Optimization)
- Epochs: 1
- Learning rate: 1e-07
- Beta: 0.05 (前回0.1→0.05に変更)
- Max sequence length: 1024
- LoRA Config: r=16, alpha=32 (merged into base)
Description
Languages
Jinja
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