Improve language tag
Browse filesHi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
README.md
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---
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base_model: Qwen/Qwen2.5-7B-Instruct
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datasets:
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- jerry128/hotpotqa-2-10-disjoint-1
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- jerry128/hotpotqa-2-10-disjoint-2
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- jerry128/hotpotqa-2-10-disjoint-3
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- jerry128/hotpotqa-2-10-disjoint-4
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- jerry128/hotpotqa-2-10-disjoint-6
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- jerry128/hotpotqa-2-10-disjoint-7
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- jerry128/hotpotqa-2-10-disjoint-8
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- jerry128/hotpotqa-2-10-disjoint-9
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library_name: transformers
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model_name: home/jerry8/axolotl-artifacts/hotpotqa-outputs-cl-2-10-unshuffled
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tags:
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- generated_from_trainer
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licence: license
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}
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```
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---
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base_model: Qwen/Qwen2.5-7B-Instruct
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datasets:
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- jerry128/hotpotqa-2-10-disjoint-1
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- jerry128/hotpotqa-2-10-disjoint-2
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- jerry128/hotpotqa-2-10-disjoint-3
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- jerry128/hotpotqa-2-10-disjoint-4
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- jerry128/hotpotqa-2-10-disjoint-6
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- jerry128/hotpotqa-2-10-disjoint-7
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- jerry128/hotpotqa-2-10-disjoint-8
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- jerry128/hotpotqa-2-10-disjoint-9
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library_name: transformers
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model_name: home/jerry8/axolotl-artifacts/hotpotqa-outputs-cl-2-10-unshuffled
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tags:
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- generated_from_trainer
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licence: license
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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---
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# Model Card for home/jerry8/axolotl-artifacts/hotpotqa-outputs-cl-2-10-unshuffled
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the [['jerry128/hotpotqa-2-10-disjoint-1', 'jerry128/hotpotqa-2-10-disjoint-2', 'jerry128/hotpotqa-2-10-disjoint-3', 'jerry128/hotpotqa-2-10-disjoint-4', 'jerry128/hotpotqa-2-10-disjoint-6', 'jerry128/hotpotqa-2-10-disjoint-7', 'jerry128/hotpotqa-2-10-disjoint-8', 'jerry128/hotpotqa-2-10-disjoint-9']](https://huggingface.co/datasets/['jerry128/hotpotqa-2-10-disjoint-1', 'jerry128/hotpotqa-2-10-disjoint-2', 'jerry128/hotpotqa-2-10-disjoint-3', 'jerry128/hotpotqa-2-10-disjoint-4', 'jerry128/hotpotqa-2-10-disjoint-6', 'jerry128/hotpotqa-2-10-disjoint-7', 'jerry128/hotpotqa-2-10-disjoint-8', 'jerry128/hotpotqa-2-10-disjoint-9']) dataset.
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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 = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="None", 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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jhuang192-university-of-illinois-urbana-champaign/hotpotqa-grpo/runs/4mua162m)
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This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
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### Framework versions
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- TRL: 0.15.1
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- Transformers: 4.49.0
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- Pytorch: 2.5.1
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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## Citations
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Cite GRPO as:
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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