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update to tech report version (#10)
* feat(run_eval): add checkpoint resume functionality and update example documentation; - update new bootcamp benchmark dataset * refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation * docs: update bootcamp list and add new scripts - Update Fulllist_InternBootcamp.md with new bootcamps and categories - Add new scripts to .gitignore: - examples/pipelines/filter_autogen_configs.py - examples/pipelines/quickgen_data_configs_from_eval_meta.py - Update dependencies in setup.py: - Add scipy and scikit-learn * refactor(internbootcamp): update bootcamp modules and improve error handling - Update import statements in __init__.py files - Add timestamp to target directory name in verl_data_preprocess.py - Improve error handling and scoring logic in bootcamp_judger.py - Remove unnecessary comments and update puzzle descriptions in multiple files
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@ -22,7 +22,8 @@ python examples/unittests/run_eval.py \
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--timeout 6000 \
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--api_mode completion \
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--max_retries 16 \
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--max_retrying_delay 60
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--max_retrying_delay 60 \
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--resume
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```
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---
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@ -46,7 +47,8 @@ Here are the main parameters supported by the script and their meanings:
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| `--sys_prompt` | str | `"You are an expert reasoner..."` | System prompt content; only effective when `api_mode` is `chat_completion`. |
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| `--max_retries` | int | `16` | Number of retries per failed request. |
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| `--max_retrying_delay` | int | `60` | Maximum delay between retries in seconds. |
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| `--resume` | bool | `true` | Resume from previous run. |
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| `--check_model_url` | bool | `true` | Check if the model service URL is available before starting the evaluation. |
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##### Parameter Relationships
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- `--sys_prompt` is only effective if `--api_mode` is set to `chat_completion`.
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- `--template` is only effective if `--api_mode` is set to `completion`.
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