Model save
Browse files- README.md +3 -6
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +0 -0
README.md
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---
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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datasets: open-r1/OpenR1-Math-220k
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library_name: transformers
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model_name: DeepSeek-R1-Distill-Qwen-1.5B-GRPO
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tags:
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- generated_from_trainer
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- open-r1
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- length-penalty-grpo
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- trl
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- grpo
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licence: license
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# Model Card for DeepSeek-R1-Distill-Qwen-1.5B-GRPO
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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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/yuzhao/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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- TRL: 0.17.0.dev0
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- Transformers: 4.51.2
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- Pytorch: 2.6.0
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- Datasets: 3.
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- Tokenizers: 0.21.1
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## Citations
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---
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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library_name: transformers
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model_name: DeepSeek-R1-Distill-Qwen-1.5B-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 DeepSeek-R1-Distill-Qwen-1.5B-GRPO
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B).
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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/yuzhao/huggingface/runs/qkb7ht4f)
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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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- TRL: 0.17.0.dev0
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- Transformers: 4.51.2
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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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## Citations
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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":
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"train_runtime":
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"train_samples": 8000,
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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": 47.436975241904875,
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"train_runtime": 39547.5882,
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"train_samples": 8000,
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"train_samples_per_second": 0.202,
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"train_steps_per_second": 0.051
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}
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train_results.json
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{
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"total_flos": 0.0,
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"train_loss":
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"train_runtime":
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"train_samples": 8000,
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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": 47.436975241904875,
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"train_runtime": 39547.5882,
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"train_samples": 8000,
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"train_samples_per_second": 0.202,
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"train_steps_per_second": 0.051
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}
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trainer_state.json
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