初始化项目,由ModelHub XC社区提供模型
Model: WSX/Qwen2.5-1.5B-Open-R1-GRPO-FC Source: Original Platform
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README.md
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---
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datasets: AI-MO/NuminaMath-TIR
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library_name: transformers
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model_name: Qwen2.5-1.5B-Open-R1-GRPO-FC
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tags:
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- generated_from_trainer
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- open-r1
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- trl
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- grpo
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licence: license
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---
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# Model Card for Qwen2.5-1.5B-Open-R1-GRPO-FC
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This model is a fine-tuned version of [None](https://huggingface.co/None) on the [AI-MO/NuminaMath-TIR](https://huggingface.co/datasets/AI-MO/NuminaMath-TIR) 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="WSX/Qwen2.5-1.5B-Open-R1-GRPO-FC", 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/wsx/grpo/runs/qjognkqg)
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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: 0.16.0.dev0
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- Transformers: 4.50.0.dev0
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- Pytorch: 2.5.1
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- Datasets: 3.3.1
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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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|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
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|
||||||
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||||||
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||||||
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||||||
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},
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|
"151661": {
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||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
|
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||||||
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},
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||||||
|
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|
||||||
|
"content": "<|fim_pad|>",
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||||||
|
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|
||||||
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||||||
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||||||
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|
||||||
|
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|
||||||
|
},
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||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
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|
||||||
|
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|
||||||
|
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||||||
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||||||
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||||||
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},
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||||||
|
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|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
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|
||||||
|
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||||||
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||||||
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|
||||||
|
}
|
||||||
|
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|
||||||
|
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|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
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||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
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||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
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|
||||||
|
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|
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"eos_token": "<|im_end|>",
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|
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}
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||||||
8
train_results.json
Normal file
8
train_results.json
Normal file
@@ -0,0 +1,8 @@
|
|||||||
|
{
|
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|
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|
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|
}
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||||||
328
trainer_state.json
Normal file
328
trainer_state.json
Normal file
@@ -0,0 +1,328 @@
|
|||||||
|
{
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a5321114421b2eed9b96ef3b978003037c2ba2433aea83625f922a2166410c89
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size 7736
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1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user