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DeepSeek-R1-Distill-SmolLM3-3B-GRPO

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  1. README.md +58 -0
  2. all_results.json +8 -0
  3. generation_config.json +9 -0
  4. global_step460/zero_pp_rank_0_mp_rank_00_model_states.pt +3 -0
  5. global_step460/zero_pp_rank_0_mp_rank_00_optim_states.pt +3 -0
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README.md ADDED
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+ ---
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+ base_model: HuggingFaceTB/SmolLM3-3B
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+ library_name: transformers
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+ model_name: DeepSeek-R1-Distill-SmolLM3-3B-GRPO
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+ tags:
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+ - generated_from_trainer
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+ - trl
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+ - sft
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+ licence: license
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+ ---
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+
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+ # Model Card for DeepSeek-R1-Distill-SmolLM3-3B-GRPO
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+
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+ This model is a fine-tuned version of [HuggingFaceTB/SmolLM3-3B](https://huggingface.co/HuggingFaceTB/SmolLM3-3B).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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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="ItsMaxNorm/DeepSeek-R1-Distill-SmolLM3-3B-GRPO", 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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+
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+ ## Training procedure
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+
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+
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - TRL: 0.18.0
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+ - Transformers: 4.55.0
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+ - Pytorch: 2.6.0
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+ - Datasets: 3.6.0
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+ - Tokenizers: 0.21.1
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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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 Gallou{\'e}dec},
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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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+ "total_flos": 856414331338752.0,
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+ "train_loss": 0.4584593860351521,
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+ "train_runtime": 14198.1717,
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+ "train_samples": 93733,
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+ "train_samples_per_second": 66.018,
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+ "train_steps_per_second": 0.032
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+ }
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "eos_token_id": 128012,
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+ "pad_token_id": 128004,
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+ "temperature": 0.6,
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+ "top_p": 0.95,
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+ "transformers_version": "4.55.0"
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+ }
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