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miles/examples/experimental/eval/scripts/multi_tasks.yaml
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eval:
defaults:
n_samples_per_eval_prompt: 1
temperature: 0.6
top_p: 0.95
top_k: -1
max_response_len: 24576
datasets: # these eval tasks go through miles dataset config and default rollout function (miles.rollout.inference_rollout.inference_rollout_common.InferenceRolloutFn)
- name: gpqa # hf download --repo-type dataset zyzshishui0627/gpqa_diamond --local-dir /root/gpqa
path: /root/gpqa/gpqa_eval.jsonl
rm_type: gpqa
n_samples_per_eval_prompt: 2
- name: ifbench # hf download --repo-type dataset zyzshishui0627/IFBench --local-dir /root/ifbench
path: /root/ifbench/IFBench_eval.jsonl
rm_type: ifbench
n_samples_per_eval_prompt: 1
delegate: # these tasks go through delegate eval function (examples.experimental.eval.eval_delegate_rollout.generate_rollout)
- name: skills
# this url should align with env docker network alias
url: http://skills_server:9050/evaluate
timeout_secs: 7200
max_retries: 5
headers: {}
datasets:
- name: aime25
max_response_len: 8192
n_samples_per_eval_prompt: 8
- name: arena-hard
n_samples_per_eval_prompt: 2
- name: hle
max_response_len: 32768