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onereason_full_wuliao
rommeltest/onereason_full_wuliao
onereason_full_wuliao is a text generation model from rommeltest. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
This model is a full-parameter fine-tuned OneReason-0.8B checkpoint trained on the fulladdwuliao dataset. This repository publishes checkpoint 600.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026
- SHA
- 333ef17f
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Model card
From the Hugging Face model README
onereason_full_wuliao
This model is a full-parameter fine-tuned OneReason-0.8B checkpoint trained on the full_add_wuliao dataset. This repository publishes checkpoint 600.
Model description
The model is based on the Qwen3 causal language model architecture and is trained for OneReason multi-domain recommendation and text-to-SID tasks.
Intended uses & limitations
This checkpoint is intended for research and evaluation on OneReason-format recommendation and SID generation tasks.
Training data
The training dataset combines multi-domain user-history recommendation examples with material text-to-SID examples for product, live, advertisement, and video domains.
Training procedure
Key training hyperparameters:
- learning rate: 1e-5
- train batch size per device: 1
- eval batch size per device: 1
- gradient accumulation steps: 8
- number of devices: 4
- total train batch size: 32
- seed: 42
- scheduler: linear
- warmup ratio: 0.05
- configured epochs: 3
Framework versions
- Transformers 5.3.0
- PyTorch 2.4.1
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026