Hugging Face's logo

justinj92
/
Qwen2.5-1.5B-Thinking

Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
trl
grpo
conversational
Eval Results
text-generation-inference
Model card Files
xet
Community
1
Qwen2.5-1.5B-Thinking
File size: 3,627 Bytes 
3a2afe7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
71e1e51
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
 
---

base_model: Qwen/Qwen2.5-1.5B-Instruct
library_name: transformers
tags:
- generated_from_trainer
- trl
- grpo
licence: license
datasets:
- microsoft/orca-math-word-problems-200k
co2_eq_emissions:
  emissions: 7100
  source: https://mlco2.github.io/impact#compute
  training_type: GRPO
  geographical_location: East US2
  hardware_used: 1 x H100 96GB
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
model-index:
- name: Qwen2.5-1.5B-Thinking
  results:
  - task:
      type: text-generation
    dataset:
      name: openai/gsm8k
      type: GradeSchoolMath8K
    metrics:
    - type: GSM8k (0-Shot)
      value: 14.4%
      name: GSM8k (0-Shot)
    - type: GSM8k (Few-Shot)
      value: 63.31%
      name: GSM8k (Few-Shot)
---


# Model Card for Qwen2.5-1.5B-Thinking

Improved Model at  [Qwen2.5-1.5B-Thinking-v1.1](https://huggingface.co/justinj92/Qwen2.5-1.5B-Thinking-v1.1).
It has been trained using [TRL](https://github.com/huggingface/trl).


## Evals

| Model                                    | GSM8k 0-Shot | GSM8k Few-Shot |
|------------------------------------------|------------------|-------------------|
| Mistral-7B-v0.1                          | 10             | 41              |
| Qwen2.5-1.5B-Thinking             | 14.4             | 63.31                 |


## Training procedure

<img src="https://raw.githubusercontent.com/wandb/wandb/fc186783c86c33980e5c73f13363c13b2c5508b1/assets/logo-dark.svg" alt="Weights & Biases Logged" width="150" height="24"/>

<img src="https://huggingface.co/justinj92/Qwen2.5-1.5B-Thinking/resolve/main/w%26b_qwen_r1.png" width="1200" height="900"/>

Trained on 1xH100 96GB via Azure Cloud (East US2).

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).

### Usage Recommendations

**Recommend adhering to the following configurations when utilizing the models, including benchmarking, to achieve the expected performance:**

1. Set the temperature within the range of 0.5-0.7 (0.6 is recommended) to prevent endless repetitions or incoherent outputs.
2. **For mathematical problems, it is advisable to include a directive in your prompt such as: "Please reason step by step, and put your final answer within \boxed{}."**
3. When evaluating model performance, it is recommended to conduct multiple tests and average the results.
4. This model is not enhanced for other domains apart from Maths.

### Framework versions

- TRL: 0.15.0.dev0
- Transformers: 4.49.0.dev0
- Pytorch: 2.5.1
- Datasets: 3.2.0
- Tokenizers: 0.21.0

## Citations

Cite GRPO as:

```bibtex

@article{zhihong2024deepseekmath,

    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},

    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},

    year         = 2024,

    eprint       = {arXiv:2402.03300},

}



```

Cite TRL as:
    

```bibtex

@misc{vonwerra2022trl,

	title        = {{TRL: Transformer Reinforcement Learning}},

	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},

	year         = 2020,

	journal      = {GitHub repository},

	publisher    = {GitHub},

	howpublished = {\url{https://github.com/huggingface/trl}}

}

```