Model save
Browse files- README.md +68 -0
- all_results.json +8 -0
- generation_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +428 -0
README.md
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| 1 |
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---
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base_model: Qwen/Qwen2.5-VL-3B-Instruct
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library_name: transformers
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model_name: Qwen2.5-VL-3B-Instruct-Open-R1-Distill
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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-VL-3B-Instruct-Open-R1-Distill
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This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
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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="zzhang1987/Qwen2.5-VL-3B-Instruct-Open-R1-Distill", 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/causalai/huggingface/runs/wpz01iog)
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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: 0.15.0.dev0
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- Transformers: 4.49.0.dev0
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- Pytorch: 2.5.1
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- Datasets: 3.2.0
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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": 0.8263391004140047,
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"train_runtime": 308929.2472,
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"train_samples": 17056,
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"train_samples_per_second": 0.055,
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"train_steps_per_second": 0.0
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}
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generation_config.json
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{
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"attn_implementation": "flash_attention_2",
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.1,
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"top_k": 1,
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"top_p": 0.001,
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"transformers_version": "4.49.0.dev0",
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"use_cache": false
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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": 0.8263391004140047,
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"train_runtime": 308929.2472,
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| 5 |
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"train_samples": 17056,
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"train_samples_per_second": 0.055,
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"train_steps_per_second": 0.0
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}
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trainer_state.json
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| 1 |
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{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.99812382739212,
|
| 5 |
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"eval_steps": 100,
|
| 6 |
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"global_step": 133,
|
| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"completion_length": 108.8546875,
|
| 13 |
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"epoch": 0.0375234521575985,
|
| 14 |
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"grad_norm": 4.688192367553711,
|
| 15 |
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"kl": 0.0056383728981018065,
|
| 16 |
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"learning_rate": 7.1428571428571436e-06,
|
| 17 |
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"loss": 0.0002,
|
| 18 |
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"reward": 0.059375,
|
| 19 |
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"reward_std": 0.10496962703764438,
|
| 20 |
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"rewards/accuracy_reward": 0.01328125,
|
| 21 |
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"rewards/format_reward": 0.03203125,
|
| 22 |
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"rewards/relaxed_accuracy_reward": 0.0140625,
|
| 23 |
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"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"completion_length": 86.25859375,
|
| 27 |
+
"epoch": 0.075046904315197,
|
| 28 |
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"grad_norm": 4.734835147857666,
|
| 29 |
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"kl": 0.27505035400390626,
|
| 30 |
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"learning_rate": 1.4285714285714287e-05,
|
| 31 |
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"loss": 0.011,
|
| 32 |
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"reward": 0.79375,
|
| 33 |
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"reward_std": 0.549490630812943,
|
| 34 |
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"rewards/accuracy_reward": 0.093359375,
|
| 35 |
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"rewards/format_reward": 0.59375,
|
| 36 |
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"rewards/relaxed_accuracy_reward": 0.106640625,
|
| 37 |
+
"step": 10
|
| 38 |
+
},
|
| 39 |
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{
|
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