Thomas-Chou commited on
Commit
e76c580
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1 Parent(s): eefe861

Model save

Browse files
README.md CHANGED
@@ -1,11 +1,9 @@
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  ---
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  base_model: Qwen/Qwen2.5-1.5B-Instruct
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- datasets: open-r1/OpenR1-Math-220k
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  library_name: transformers
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  model_name: Qwen2.5-1.5B-Open-R1-GRPO
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  tags:
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  - generated_from_trainer
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- - open-r1
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  - trl
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  - grpo
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  licence: license
@@ -13,7 +11,7 @@ licence: license
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  # Model Card for Qwen2.5-1.5B-Open-R1-GRPO
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- This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the [open-r1/OpenR1-Math-220k](https://huggingface.co/datasets/open-r1/OpenR1-Math-220k) dataset.
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
@@ -29,7 +27,7 @@ print(output["generated_text"])
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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/wen-chuang_chou-tu-dresden/huggingface/runs/dh0uq8l7)
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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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  ---
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  base_model: Qwen/Qwen2.5-1.5B-Instruct
 
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  library_name: transformers
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  model_name: Qwen2.5-1.5B-Open-R1-GRPO
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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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  # Model Card for Qwen2.5-1.5B-Open-R1-GRPO
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-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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  ## 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/wen-chuang_chou-tu-dresden/huggingface/runs/4qiosci8)
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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).
all_results.json CHANGED
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  "train_samples": 93733,
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- "train_samples_per_second": 2.737,
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- "train_steps_per_second": 0.086
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  }
 
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train_results.json CHANGED
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trainer_state.json CHANGED
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