Skip to content

docs: Add missing arguments to DeepScaler evaluation #502

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
SahilJain314 merged 2 commits into from
Jun 30, 2025
Merged

docs: Add missing arguments to DeepScaler evaluation #502

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
cf2c168
add missing arguments
butsugiri Jun 11, 2025
d1564af
8k --> 32k
butsugiri Jun 30, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 3 additions & 1 deletion docs/guides/grpo-deepscaler.md
View file
Open in desktop
Original file line number Diff line number Diff line change
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=32768
```

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.
Expand Down
Loading