Model save
Browse files- README.md +2 -4
- all_results.json +3 -3
- config.json +1 -1
- model.safetensors +2 -2
- train_results.json +3 -3
- trainer_state.json +3 -3
- training_args.bin +1 -1
README.md
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---
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datasets: AI-MO/NuminaMath-TIR
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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
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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 [None](https://huggingface.co/None)
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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/757885345/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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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 [None](https://huggingface.co/None).
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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/757885345/huggingface/runs/oy9ladut)
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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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"total_flos": 0.0,
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"train_loss": 1.862645149230957e-09,
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-
"train_runtime":
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"train_samples": 6,
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"train_samples_per_second": 0.
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"train_steps_per_second": 0.
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}
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{
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"total_flos": 0.0,
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"train_loss": 1.862645149230957e-09,
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"train_runtime": 21.5129,
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"train_samples": 6,
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"train_samples_per_second": 0.279,
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"train_steps_per_second": 0.046
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}
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0.dev0",
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"use_cache":
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0.dev0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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model.safetensors
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train_results.json
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{
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"train_loss": 1.862645149230957e-09,
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"train_runtime":
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"train_samples": 6,
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"train_samples_per_second": 0.
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"train_loss": 1.862645149230957e-09,
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"train_samples": 6,
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trainer_state.json
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"step": 1,
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"total_flos": 0.0,
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"train_loss": 1.862645149230957e-09,
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"train_runtime":
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"train_samples_per_second": 0.
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"logging_steps": 5,
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"step": 1,
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"total_flos": 0.0,
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"train_loss": 1.862645149230957e-09,
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"train_runtime": 21.5129,
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"train_samples_per_second": 0.279,
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"train_steps_per_second": 0.046
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}
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],
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"logging_steps": 5,
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training_args.bin
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