chenggong commited on
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 +389 -0
README.md
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---
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base_model: Qwen/Qwen2.5-Math-7B
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library_name: transformers
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model_name: Qwen-2.5-Math-7B-test1
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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 Qwen-2.5-Math-7B-test1
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-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="chenggong1995/Qwen-2.5-Math-7B-test1", 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/gongc1995-city-university-of-hong-kong/huggingface/runs/o0kq9n2f)
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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: 4.49.0
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- Pytorch: 2.5.1
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- Datasets: 3.3.2
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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": -0.0030980921536684037,
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"train_runtime": 7058.3489,
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"train_samples": 100,
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"train_samples_per_second": 0.028,
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"train_steps_per_second": 0.014
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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": -0.0030980921536684037,
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"train_runtime": 7058.3489,
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"train_samples": 100,
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"train_samples_per_second": 0.028,
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"train_steps_per_second": 0.014
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}
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trainer_state.json
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| 1 |
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{
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| 2 |
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"best_metric": null,
|
| 3 |
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"best_model_checkpoint": null,
|
| 4 |
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"epoch": 2.0,
|
| 5 |
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"eval_steps": 49,
|
| 6 |
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"global_step": 100,
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| 7 |
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"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
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| 12 |
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"clip_ratio": 0.0,
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| 13 |
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"completion_length": 379.71429443359375,
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"epoch": 0.02,
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| 15 |
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"grad_norm": 2.3801450729370117,
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"kl": 0.0,
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"learning_rate": 5e-08,
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| 18 |
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"loss": -0.0295,
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| 19 |
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"reward": 0.8928571939468384,
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| 20 |
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"reward_std": 0.26375192403793335,
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"rewards/accuracy_reward": 0.8571429252624512,
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"rewards/format_reward": 0.0,
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"rewards/tag_count_reward": 0.0357142873108387,
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| 24 |
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"step": 1
|
| 25 |
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},
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| 26 |
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{
|
| 27 |
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"clip_ratio": 0.0,
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| 28 |
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"learning_rate": 2.5e-07,
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"loss": -0.004,
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"reward_std": 0.4692006930708885,
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"rewards/accuracy_reward": 0.5000000298023224,
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"rewards/format_reward": 0.0,
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"rewards/tag_count_reward": 0.004464285913854837,
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"step": 5
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| 40 |
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},
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| 41 |
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{
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| 42 |
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| 43 |
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"completion_length": 700.3143188476563,
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"epoch": 0.2,
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"kl": 0.00029048919677734377,
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"learning_rate": 5e-07,
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| 48 |
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"loss": -0.0521,
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| 49 |
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"reward": 0.5571428656578064,
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| 50 |
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"reward_std": 0.30040043592453003,
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"rewards/accuracy_reward": 0.5285714507102967,
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"rewards/format_reward": 0.0,
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| 53 |
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"rewards/tag_count_reward": 0.02857142984867096,
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| 54 |
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"step": 10
|
| 55 |
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},
|
| 56 |
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{
|
| 57 |
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"clip_ratio": 0.0,
|
| 58 |
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"completion_length": 622.2857299804688,
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| 59 |
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"epoch": 0.3,
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| 60 |
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"grad_norm": 1.9563440084457397,
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"kl": 0.000347137451171875,
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| 62 |
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"learning_rate": 4.96201938253052e-07,
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| 63 |
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"loss": -0.0156,
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| 64 |
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"reward": 0.5642857372760772,
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| 65 |
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"reward_std": 0.4562141001224518,
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| 66 |
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