Model save
Browse files- README.md +68 -0
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
    	
        README.md
    ADDED
    
    | @@ -0,0 +1,68 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            ---
         | 
| 2 | 
            +
            base_model: unsloth/phi-4
         | 
| 3 | 
            +
            library_name: transformers
         | 
| 4 | 
            +
            model_name: unsloth-phi-4-Instruct-LORA-Open-R1-Code-GRPO-b2-as2
         | 
| 5 | 
            +
            tags:
         | 
| 6 | 
            +
            - generated_from_trainer
         | 
| 7 | 
            +
            - trl
         | 
| 8 | 
            +
            - grpo
         | 
| 9 | 
            +
            licence: license
         | 
| 10 | 
            +
            ---
         | 
| 11 | 
            +
             | 
| 12 | 
            +
            # Model Card for unsloth-phi-4-Instruct-LORA-Open-R1-Code-GRPO-b2-as2
         | 
| 13 | 
            +
             | 
| 14 | 
            +
            This model is a fine-tuned version of [unsloth/phi-4](https://huggingface.co/unsloth/phi-4).
         | 
| 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="davidoj01/unsloth-phi-4-Instruct-LORA-Open-R1-Code-GRPO-b2-as2", 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/eleutherai/huggingface/runs/wstq0zy4) 
         | 
| 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
         | 
| 38 | 
            +
            - Transformers: 4.50.0
         | 
| 39 | 
            +
            - Pytorch: 2.5.1
         | 
| 40 | 
            +
            - Datasets: 3.5.0
         | 
| 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 | 
            +
            ```
         | 
    	
        all_results.json
    ADDED
    
    | @@ -0,0 +1,8 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
                "total_flos": 0.0,
         | 
| 3 | 
            +
                "train_loss": 0.010072903922897239,
         | 
| 4 | 
            +
                "train_runtime": 28596.067,
         | 
| 5 | 
            +
                "train_samples": 35735,
         | 
| 6 | 
            +
                "train_samples_per_second": 0.42,
         | 
| 7 | 
            +
                "train_steps_per_second": 0.017
         | 
| 8 | 
            +
            }
         | 
    	
        train_results.json
    ADDED
    
    | @@ -0,0 +1,8 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
                "total_flos": 0.0,
         | 
| 3 | 
            +
                "train_loss": 0.010072903922897239,
         | 
| 4 | 
            +
                "train_runtime": 28596.067,
         | 
| 5 | 
            +
                "train_samples": 35735,
         | 
| 6 | 
            +
                "train_samples_per_second": 0.42,
         | 
| 7 | 
            +
                "train_steps_per_second": 0.017
         | 
| 8 | 
            +
            }
         | 
    	
        trainer_state.json
    ADDED
    
    | The diff for this file is too large to render. 
		See raw diff | 
|  |