Model save
Browse files- README.md +2 -3
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- tokenizer.json +2 -2
- training_args.bin +1 -1
README.md
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---
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base_model: Qwen/Qwen2.5-7B-Instruct
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datasets: AI-MO/NuminaMath-TIR
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library_name: transformers
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model_name: Qwen2.5-7B-Instruct-GRPO-test
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tags:
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# Model Card for Qwen2.5-7B-Instruct-GRPO-test
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-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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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/Qwen2.5-7B-Instruct
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library_name: transformers
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model_name: Qwen2.5-7B-Instruct-GRPO-test
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tags:
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# Model Card for Qwen2.5-7B-Instruct-GRPO-test
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-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/fangwu/grpo_train/runs/vph9apcv)
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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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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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tokenizer.json
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training_args.bin
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