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Co-authored-by: Jiajun Li <jiajun.li@radixark.ai> Co-authored-by: guapisolo <guapisolo@gmail.com>
32 lines
1.2 KiB
YAML
32 lines
1.2 KiB
YAML
eval:
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defaults:
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n_samples_per_eval_prompt: 1
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temperature: 0.6
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top_p: 0.95
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top_k: -1
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max_response_len: 24576
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datasets: # these eval tasks go through miles dataset config and default rollout function (miles.rollout.inference_rollout.inference_rollout_common.InferenceRolloutFn)
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- name: gpqa # hf download --repo-type dataset zyzshishui0627/gpqa_diamond --local-dir /root/gpqa
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path: /root/gpqa/gpqa_eval.jsonl
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rm_type: gpqa
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n_samples_per_eval_prompt: 2
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- name: ifbench # hf download --repo-type dataset zyzshishui0627/IFBench --local-dir /root/ifbench
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path: /root/ifbench/IFBench_eval.jsonl
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rm_type: ifbench
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n_samples_per_eval_prompt: 1
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delegate: # these tasks go through delegate eval function (examples.experimental.eval.eval_delegate_rollout.generate_rollout)
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- name: skills
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# this url should align with env docker network alias
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url: http://skills_server:9050/evaluate
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timeout_secs: 7200
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max_retries: 5
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headers: {}
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datasets:
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- name: aime25
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max_response_len: 8192
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n_samples_per_eval_prompt: 8
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- name: arena-hard
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n_samples_per_eval_prompt: 2
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- name: hle
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max_response_len: 32768
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