Model save
Browse files- README.md +2 -4
- all_results.json +4 -4
- config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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---
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base_model: Qwen/Qwen2.5-Math-7B
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datasets: DigitalLearningGmbH/MATH-lighteval
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library_name: transformers
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model_name: Qwen-2.5-7B-Simple-RL
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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
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# Model Card for Qwen-2.5-7B-Simple-RL
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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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## 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/huggingface/huggingface/runs/
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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-Math-7B
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library_name: transformers
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model_name: Qwen-2.5-7B-Simple-RL
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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 Qwen-2.5-7B-Simple-RL
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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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## 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/huggingface/huggingface/runs/pq5sovxv)
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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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all_results.json
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{
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"train_loss":
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"train_samples": 7500,
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"train_loss": -4.392043727967474,
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"train_samples": 7500,
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config.json
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0",
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"use_cache":
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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train_results.json
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trainer_state.json
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training_args.bin
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