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

# 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