Model save
Browse files- README.md +68 -0
- all_results.json +8 -0
- generation_config.json +6 -0
- train_results.json +8 -0
- trainer_state.json +2030 -0
README.md
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| 1 |
+
---
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base_model: Qwen/Qwen2.5-7B
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library_name: transformers
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model_name: Qwen2.5-7B-Open-R1-GRPO-math-lighteval-cosine
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tags:
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- generated_from_trainer
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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 Qwen2.5-7B-Open-R1-GRPO-math-lighteval-cosine
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B).
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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="Lansechen/Qwen2.5-7B-Open-R1-GRPO-math-lighteval-cosine", 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/chenran1995-the-chinese-university-of-hong-kong/huggingface/runs/kgymgtyl)
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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
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- Transformers: 4.49.0
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- Pytorch: 2.5.1+cu121
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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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all_results.json
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{
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"total_flos": 0.0,
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"train_loss": 0.02113412496052633,
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"train_runtime": 52235.1468,
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"train_samples": 7500,
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"train_samples_per_second": 0.287,
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"train_steps_per_second": 0.003
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.49.0"
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}
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train_results.json
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{
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"total_flos": 0.0,
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"train_loss": 0.02113412496052633,
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"train_runtime": 52235.1468,
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"train_samples": 7500,
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"train_samples_per_second": 0.287,
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"train_steps_per_second": 0.003
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}
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trainer_state.json
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| 2013 |
+
"save_steps": 500,
|
| 2014 |
+
"stateful_callbacks": {
|
| 2015 |
+
"TrainerControl": {
|
| 2016 |
+
"args": {
|
| 2017 |
+
"should_epoch_stop": false,
|
| 2018 |
+
"should_evaluate": false,
|
| 2019 |
+
"should_log": false,
|
| 2020 |
+
"should_save": true,
|
| 2021 |
+
"should_training_stop": false
|
| 2022 |
+
},
|
| 2023 |
+
"attributes": {}
|
| 2024 |
+
}
|
| 2025 |
+
},
|
| 2026 |
+
"total_flos": 0.0,
|
| 2027 |
+
"train_batch_size": 16,
|
| 2028 |
+
"trial_name": null,
|
| 2029 |
+
"trial_params": null
|
| 2030 |
+
}
|