onereason_full_wuliao/README.md

library_name, license, tags, model-index

library_name	license	tags	model-index
transformers	other	llama-factory full generated_from_trainer	name results onereason_full_wuliao

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