62 lines
1.7 KiB
Markdown
62 lines
1.7 KiB
Markdown
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---
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base_model: Qwen/Qwen3-0.6B-Base
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library_name: transformers
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model_name: trainer_output
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tags:
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- generated_from_trainer
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- sft
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- trl
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licence: license
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---
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# Model Card for trainer_output
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This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "नेपालको इतिहासमा मध्यकालीन अवधिका राजनीतिक, आर्थिक, सामाजिक र सांस्कृतिक परिवर्तनहरूको बारेमा संक्षिप्त वर्णन गर्नुहोस्।"
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generator = pipeline("text-generation", model="praful1/nepali_qa", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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trained on praful1/NepaliQA-qa2 with completion only loss
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this was trained for few minutes so it is not that good on free colab gpu
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This model was trained with SFT.
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### Framework versions
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- TRL: 1.9.2
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- Transformers: 5.13.1
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- Pytorch: 2.11.0+cu128
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- Datasets: 5.0.1
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- Tokenizers: 0.22.2
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## Citations
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Cite TRL as:
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```bibtex
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@software{vonwerra2020trl,
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title = {{TRL: Transformers Reinforcement Learning}},
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author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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license = {Apache-2.0},
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url = {https://github.com/huggingface/trl},
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year = {2020}
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}
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```
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