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SahilJain314 merged 2 commits into from
Jun 30, 2025
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docs: Add missing arguments to DeepScaler evaluation #502

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add missing arguments
butsugiri Jun 11, 2025
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butsugiri Jun 30, 2025
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4 changes: 3 additions & 1 deletion docs/guides/grpo-deepscaler.md
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Expand Up @@ -33,7 +33,9 @@ Throughout training, the checkpoints of the model will be saved to the `results`

```sh
uv run examples/run_eval.py \
generation.model_name=results/grpo-deepscaler-1.5b-8K/step_240/hf
generation.model_name=results/grpo-deepscaler-1.5b-8K/step_240/hf \
data.prompt_file=examples/prompts/cot.txt \
generation.vllm_cfg.max_model_len=8192
```

Use `generation.model_name` to specify the path to the Hugging Face checkpoint. In addition, we use AIME24 as the validation dataset and calculate pass@1 on it throughout training.
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