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Model: rommeltest/onereason_full_wuliao
Source: Original Platform

README.md

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+---
+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