Hi,
Great work, I have question about how is variance calculated, where is random seed being changed.
- Is it at train/val split level ?
python data/split_tasks.py \
--json_path datasets/sciknoweval/chemistry.json \
--output_dir datasets/sciknoweval/chemistry \
--test_ratio 0.1 \
--seed 42 (change here)
- Or is it seed that controls sampling randomness during generation ?
vllm_async_server.py: "seed": self.config.get("seed", 0)
- Or is it seed that controls controls mini-batch ordering during PPO updates
actor.data_loader_seed: 42 (in actor.yaml, also mirrored to critic.data_loader_seed)
Hi,
Great work, I have question about how is variance calculated, where is random seed being changed.
python data/split_tasks.py \ --json_path datasets/sciknoweval/chemistry.json \ --output_dir datasets/sciknoweval/chemistry \ --test_ratio 0.1 \ --seed 42 (change here)