Update README.md
Browse files
README.md
CHANGED
|
@@ -1,68 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
base_model: mehuldamani/qwen-base-verifier-sft-v1
|
| 3 |
-
library_name: transformers
|
| 4 |
-
model_name: big-math-digits-v2-brier
|
| 5 |
-
tags:
|
| 6 |
-
- generated_from_trainer
|
| 7 |
-
- trl
|
| 8 |
-
- grpo
|
| 9 |
-
licence: license
|
| 10 |
-
---
|
| 11 |
-
|
| 12 |
-
# Model Card for big-math-digits-v2-brier
|
| 13 |
-
|
| 14 |
-
This model is a fine-tuned version of [mehuldamani/qwen-base-verifier-sft-v1](https://huggingface.co/mehuldamani/qwen-base-verifier-sft-v1).
|
| 15 |
-
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
-
|
| 17 |
-
## Quick start
|
| 18 |
-
|
| 19 |
-
```python
|
| 20 |
-
from transformers import pipeline
|
| 21 |
-
|
| 22 |
-
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?"
|
| 23 |
-
generator = pipeline("text-generation", model="mehuldamani/big-math-digits-v2-brier", device="cuda")
|
| 24 |
-
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
-
print(output["generated_text"])
|
| 26 |
-
```
|
| 27 |
-
|
| 28 |
-
## Training procedure
|
| 29 |
-
|
| 30 |
-
[<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/mehuldamani/grpo/runs/lsp5z7k5)
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
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).
|
| 34 |
-
|
| 35 |
-
### Framework versions
|
| 36 |
-
|
| 37 |
-
- TRL: 0.16.0.dev0
|
| 38 |
-
- Transformers: 4.48.3
|
| 39 |
-
- Pytorch: 2.5.1
|
| 40 |
-
- Datasets: 3.6.0
|
| 41 |
-
- Tokenizers: 0.21.1
|
| 42 |
-
|
| 43 |
-
## Citations
|
| 44 |
-
|
| 45 |
-
Cite GRPO as:
|
| 46 |
-
|
| 47 |
-
```bibtex
|
| 48 |
-
@article{zhihong2024deepseekmath,
|
| 49 |
-
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
|
| 50 |
-
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},
|
| 51 |
-
year = 2024,
|
| 52 |
-
eprint = {arXiv:2402.03300},
|
| 53 |
-
}
|
| 54 |
-
|
| 55 |
-
```
|
| 56 |
-
|
| 57 |
-
Cite TRL as:
|
| 58 |
-
|
| 59 |
-
```bibtex
|
| 60 |
-
@misc{vonwerra2022trl,
|
| 61 |
-
title = {{TRL: Transformer Reinforcement Learning}},
|
| 62 |
-
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},
|
| 63 |
-
year = 2020,
|
| 64 |
-
journal = {GitHub repository},
|
| 65 |
-
publisher = {GitHub},
|
| 66 |
-
howpublished = {\url{https://github.com/huggingface/trl}}
|
| 67 |
-
}
|
| 68 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|