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Model save

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Files changed (4) hide show
  1. README.md +2 -4
  2. all_results.json +5 -5
  3. train_results.json +5 -5
  4. trainer_state.json +0 -0
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: simplescaling/s1K-1.1
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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 [simplescaling/s1K-1.1](https://huggingface.co/datasets/simplescaling/s1K-1.1) 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/224015062-chinese-university-of-hong-kong-shenzhen/huggingface/runs/rfhoqj7d)
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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/224015062-chinese-university-of-hong-kong-shenzhen/huggingface/runs/jlbi3aop)
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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
@@ -1,8 +1,8 @@
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  {
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  "total_flos": 0.0,
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- "train_loss": 0.04149924948421302,
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- "train_runtime": 1695.078,
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- "train_samples": 1000,
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- "train_samples_per_second": 0.59,
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- "train_steps_per_second": 0.021
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  }
 
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  {
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  "total_flos": 0.0,
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+ "train_loss": 0.021655392728905976,
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+ "train_runtime": 10518.8373,
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+ "train_samples": 5000,
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+ "train_samples_per_second": 0.475,
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+ "train_steps_per_second": 0.017
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "total_flos": 0.0,
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- "train_loss": 0.04149924948421302,
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- "train_runtime": 1695.078,
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- "train_samples": 1000,
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- "train_samples_per_second": 0.59,
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- "train_steps_per_second": 0.021
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  }
 
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  {
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  "total_flos": 0.0,
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+ "train_loss": 0.021655392728905976,
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+ "train_runtime": 10518.8373,
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+ "train_samples": 5000,
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+ "train_samples_per_second": 0.475,
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+ "train_steps_per_second": 0.017
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  }
trainer_state.json CHANGED
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